CN113436140A - Quantitative analysis method, system, terminal and medium for identifying blood stasis syndrome subtype - Google Patents

Quantitative analysis method, system, terminal and medium for identifying blood stasis syndrome subtype Download PDF

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CN113436140A
CN113436140A CN202110528582.0A CN202110528582A CN113436140A CN 113436140 A CN113436140 A CN 113436140A CN 202110528582 A CN202110528582 A CN 202110528582A CN 113436140 A CN113436140 A CN 113436140A
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syndrome
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吴锐
余淑娇
方霞
熊江彪
赵俊
陈丽明
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First Affiliated Hospital of Nanchang University
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Abstract

The invention belongs to the technical field of blood stasis syndrome subtype quantitative diagnosis, and discloses a quantitative analysis method, a system, a terminal and a medium for identifying blood stasis syndrome subtypes, wherein blood stasis syndrome factors and item data are collected and analyzed through blood stasis syndrome ocular sign diagnosis software; the video card software package is developed for the second time by adopting the computer digital image and the colorimetry principle, and the microcirculation symptom diagnosis software is perfected; using computer image capture analysis technology, adopting quantization and statistical processing to the symptom image, and establishing a symptom diagnostic function equation; molding; adopting computer image acquisition technology to record the change of the ocular characteristics before, during and after the molding, and converting the change into digital images for quantitative analysis and comparison; and establishing the operation standard and the diagnosis standard of the blood stasis syndrome. The invention initiates a new method for diagnosing the blood stasis syndrome, reduces the misjudgment rate caused by subjective judgment, improves the accuracy of diagnosis of the syndrome, and realizes the computer digitization and informatization of the diagnosis of the blood stasis syndrome.

Description

Quantitative analysis method, system, terminal and medium for identifying blood stasis syndrome subtype
Technical Field
The invention belongs to the technical field of blood stasis subtype quantitative diagnosis, and particularly relates to a quantitative analysis method, a system, a terminal and a medium for identifying blood stasis subtype.
Background
At present, the blood stasis syndrome is a state of unsmooth blood flow and blood stasis, and serious thrombosis or bleeding can be formed. Blood stasis syndrome involves many diseases, especially in the immune system diseases such as: the system lupus erythematosus, the neuropsychiatric lupus, the scleroderma and other diseases play an important role in pathophysiological mechanisms, so the significance of evaluating the blood stasis state is great. Because of the lack of detection means for effectively judging the pre-thrombus state, the data provided by the international society for thrombosis and hemostasis show that: in the United states, 10-30 million people die of venous thrombosis each year, and the number of relevant hospitalizations exceeds 50 million. In europe, 50 million people die annually from venous thrombosis, exceeding the sum of aids, breast and prostate cancer, and freeway traffic accident deaths. In china, venous thrombosis is also severe, but the widespread impact of thrombotic disease is masked by the lack of epidemiological data. Therefore, early diagnosis of the blood stasis syndrome is the key to timely intervention and reduction of the risk of thrombosis.
The traditional diagnosis of the blood stasis syndrome mainly depends on subjective symptoms and tongue pulse conditions, is easily influenced by external environments such as temperature and the like, has strong subjectivity and poor repeatability, and can not quantitatively judge the severity of the blood stasis syndrome and diagnose early stage. Modern medicine also has no effective index for detecting the prothrombotic state. AT present, markers related to endothelial cell injury, vWF, LA, ACL, D-Dimer, AT-III, platelet aggregation rate, and the like have been reported to be associated with prothrombotic conditions. However, these tests are complicated and costly; or because of poor specificity and sensitivity, the method is mostly limited in scientific research and cannot be popularized and applied. Therefore, it is still a challenge to find a new method for diagnosing blood stasis syndrome more objectively, accurately and quantitatively.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the traditional diagnosis of the blood stasis syndrome is mainly based on subjective symptoms and tongue pulse conditions, is easily influenced by external environments such as temperature and the like, has strong subjectivity and poor repeatability, and can not quantitatively judge the severity of the blood stasis syndrome and can not diagnose early.
(2) Modern medicine also has no effective index for detecting the prothrombotic state.
(3) AT present, relevant markers of endothelial cell injury, vWF, LA, ACL, D-Dimer, AT-III, platelet aggregation rate and the like are reported to be relevant to prothrombotic, but the detection is complex or the operation is complex and the cost is high; or because of poor specificity and sensitivity, the method is mostly limited in scientific research and cannot be popularized and applied.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a quantitative analysis method, a system, a terminal and a medium for identifying blood stasis syndrome subtypes.
The invention is realized in this way, a quantitative analysis method for identifying blood stasis syndrome subtype, which is applied to an information data processing terminal and comprises the following steps:
collecting and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
secondly, performing secondary development on a video card software package by adopting a computer digital image and a colorimetry principle to perfect a microcirculation syndrome diagnosis software;
thirdly, using a computer image capturing and analyzing technology to carry out quantization and statistical processing on the symptom image and establish a symptom diagnostic function equation;
step four, molding; adopting computer image acquisition technology to record the change of the ocular characteristics before, during and after the molding, and converting the change into digital images for quantitative analysis and comparison;
and step five, establishing an operation specification and a diagnosis standard of the blood stasis syndrome.
Further, the blood stasis syndrome subtypes are divided into 5 subtypes, including: qi deficiency and blood stasis, qi stagnation and blood stasis, cold accumulation and blood stasis, heat toxin and blood stasis, and traumatic blood stasis.
Further, in the first step, the factors and the entry data of the syndrome of blood stasis include:
blood stasis syndrome factors: periocular skin, bulbar conjunctival microvascular hemorrhage, reticular malformation, vascular tortuosity, vascular thickening, hemangioma-like and wound site reporting terms;
entry of blood stasis syndrome: the skin tone around the eyes, the bleeding number of the bulbar conjunctiva microvessels, the bleeding tone of the bulbar conjunctiva microvessels, the net-shaped malformed area, the twisting number of the blood vessels, the twisting coefficient of the blood vessels, the twisting tone of the blood vessels, the thickening diameter of the blood vessels, the thickening tone of the blood vessels, the number of hemangioma samples and the number of items of reported injury points.
Further, in step three, the statistical processing includes: the Terfel method, logistic regression and attribution analysis.
Further, in step three, the establishing a mathematical diagnosis function equation includes:
(1) the standard of the observed cases: 1) inclusion criteria were: the blood-bringing group which accords with the main standard of blood stasis syndrome diagnosis; bringing the blood stasis which does not accord with the main standard of blood stasis diagnosis into a non-blood stasis group; ② the age is 18-75 years old, male and female are not limited; 2) exclusion criteria: excluding cases with ocular inflammation and ocular trauma, and cases with hyperpyrexia, insufficient sleep or alcoholism;
(2) observing the blood stasis syndrome eye signs;
(3) observation index and integration method: scoring according to the blood stasis syndrome diagnosis integral standard; wherein the blood stasis diagnostic score comprises a symptom score and a hemorheology score;
(4) item characterization observation: comprises 7 factors and 11 items; observing the symptom by utilizing a symptom naked eye scoring method;
(5) the method comprises the following steps of comparison of ocular sign observation indexes, determination of correlation between blood stasis syndrome diagnosis and ocular sign observation items, calculation of discrimination rate of ocular signs on blood stasis syndromes, establishment of a computer discrimination method, ocular sign observation integral comparison and calculation of non-blood stasis syndrome ocular sign reference values.
Further, in the step (2), the observation of the blood stasis syndrome eye sign comprises:
1) the observation place is selected from natural light or under a fluorescent lamp, the observed person takes an end seat, and the lens is adjusted to enable the required observation object to face the camera; starting diagnosis software for blood stasis syndrome and entering an image acquisition interface, wherein images can synchronously appear on a computer display;
2) adjusting and fixing the aperture and the focal length of the camera, and adjusting and fixing the luminosity, the contrast, the saturation and the chromaticity of the camera in a computer; slightly separating the right eyelid of the patient by using the thumb or the index finger of the left hand of the operator, advising the eyeball of the patient to rotate upwards, downwards, leftwards and rightwards respectively to fully expose the required observation range, and observing the left eye by the method;
3) according to the determined observation items of the blood stasis syndrome ocular signs, the contents of six ocular signs images of the two eyes in four different directions are rapidly and respectively observed, and are synchronously displayed in a computer: bleedings of bulbar conjunctiva, reticular malformation, distorted blood vessels, angry or tumor-like blood vessels, wound points and skin around eyes are reported, pictures are taken, and contrast card images are taken;
4) selecting clear images for storage, and automatically archiving the images by software; the data of the patient including the age, sex, disease diagnosis, symptoms and physical signs related to blood stasis syndrome and various index values of blood rheology are recorded into a computer for storage in time, and image diagnosis analysis is carried out.
Further, in the step (4), the observing the ocular characteristics by using an ocular characteristic scoring method comprises:
the color tone of the skin around the eyes is dark red or bluish purple, the dark red marks are 5 minutes, and the bluish purple marks are 10 minutes; the bulbar conjunctiva microvessels are distorted or are in wave deformity, more than 3 blood vessels are marked for 5 minutes, more than 6 blood vessels or deformity is marked for 10 minutes; ③ the bulbar conjunctiva vessels are angry or warty, more than 3 vessels are marked for 5 minutes, more than 6 vessels or microvessels are obviously angry or warty for 10 minutes; fourthly, the microvascular bulboconjunctival is in net-shaped malformation, the range of the microvascular bulboconjunctival exceeds 1/8 or 1/4, and the anomaly is respectively counted for 5 minutes or 10 minutes; the color tone of the bulbar conjunctiva microvessels is 5 minutes for dark red marks, and 10 minutes for bluish purple marks; sixthly, bleeding points or bleeding spots exist in the bulbar conjunctiva, 5 points are marked for 1 or 2 bleeding points, and 10 points are marked for more than 3 bleeding points or bleeding spots; seventhly, there are injury reporting points on the bulbar conjunctiva, namely there are blood stasis points on the end of the microvascular, the shape is like the size of a needle point, and the color is dark purple or black; 1 or 2 reported injury points are scored for 5 points, and more than 3 reported injury points are scored for 10 points.
Further, in the step (5), the comparison of the target observation indicators includes:
by adopting covariance analysis and taking age and gender factors as covariates, the blood stasis group has very significant difference in vascular distortion, vascular thickening, reticular malformation, fresh bleeding, vascular tone, old bleeding, hemangioma and skin tone with the non-blood stasis group, P is less than 0.000, but no significant difference is found in the reported injury point, and P is more than 0.05.
Further, in the step (5), the determination of the correlation between the diagnosis of blood stasis syndrome and the observation item of the symptom comprises:
and analyzing the correlation between each observation content and the diagnosis of the blood stasis syndrome by using bivariate of the sps software correlate, wherein each observation index has positive correlation with the blood stasis syndrome.
Further, in the step (5), the calculating of the discrimination rate of the syndrome of blood stasis by the symptom includes:
the software line logistic regression analysis is adopted in the spss, and the model is tested and shown2When the result is 497.254 and P is 0.000, the model is meaningful to establish, and the blood stasis syndrome discrimination coincidence rate is 82.5%.
Further, in step (5), the establishing of the computer-based discrimination method includes:
1) regression coefficient of each observation index: establishing a linear regression equation by taking the blood stasis syndrome integral as a dependent variable to obtain a regression coefficient;
2) and (3) comprehensive coefficient operation: according to the 3 results of expert scoring opinions, correlation analysis and regression coefficient of the 'Terfh method', after normalization processing according to 100 digits, obtaining a comprehensive coefficient;
3) setting a weight according to the comprehensive coefficient: skin around the eyes, hemangioma and reticular deformity, 16-17 points: 4, dividing; distortion, old bleeding, thickening of blood vessels, blood vessel tone, 10-11 points: 3 min; ③ fresh bleeding, 5 points: 2 min; fourthly, reporting the injury points: 1 minute;
4) and (4) score: taking the blood stasis syndrome integral as a dependent variable, taking the light and medium severity of each item as an independent variable, and obtaining a regression coefficient by adopting linear regression analysis; taking regression coefficients of all items as weight proportion reference, and normalizing the light, medium and heavy items according to the proportion of 1, 3 and 5 by 3 scores to obtain scores of all items: 0.3; 0.9; 1.8; taking the minimum value of 0.1 according to the damage reporting points scored by the number; hemangiomas were given a median of 0.9.
Further, in step (5), the comparison of the integral of the ocular observation comprises:
1) calculating according to the data of the patient to obtain a computer target characteristic score, and finding that the score of the eye flesh target characteristic and the score of the computer target characteristic have extremely significant differences in the groups with blood stasis, such as the group with light blood stasis, the group with medium blood stasis, the group with heavy blood stasis and the group with non-blood stasis by adopting multiple comparisons, wherein P is 0.000, which indicates that the two integration methods can be used as effective judgment methods for the blood stasis syndrome;
2) the visual integration and the computer integration method are found to be positive linear correlation by adopting a linear correlation analysis of the sps, and r is 0.876, and P is 0.000, which indicates that the two scoring methods have similar clinical significance.
Further, in the step (5), the calculation of the non-blood stasis syndrome reference value comprises:
1) calculating the upper and lower limits of the two groups of non-blood stasis syndrome and blood stasis syndrome according to P90 and P10 by adopting a percentile method;
2) the total integral is the non-blood stasis syndrome P90 value is 32; syndrome of blood stasis P5 is 21; the nominal integral is 30 and 14 respectively; visual integration methods are 25 and 10;
3) assuming a normal reference value, testing the specificity and the sensitivity of the reference value, and selecting the best result as the normal reference value; the total integral non-blood stasis reference value is set below 29 points; the symptom integral is 26 points; the visual integration was under 15 points.
Further, in the fourth step, the molding includes:
(1) selecting healthy New Zealand white rabbits, which are half female and half male, 5 months old, 2kg in weight and qualified I-level animals; randomly dividing into 6 groups according to sex, weight, etc. according to a random numerical table, and respectively molding for a qi deficiency blood stasis group, a qi stagnation blood stasis group, a cold coagulation blood stasis group, a heat toxin blood stasis group, a trauma blood stasis group and a healthy control group;
(2) purchasing experimental animals 1 week before the experiment, raising the animals in cages in a quiet environment, controlling the temperature to be (25 +/-1) DEG C and the relative humidity to be 60 percent, and freely ingesting water and food; feeding basal feed to a control group and a trauma blood stasis group, and feeding high-fat high-sugar feed to other groups;
(3) according to the revised blood stasis syndrome diagnosis standard in 1986, the model successfully meets the following indexes: (ii) a change in physical characteristics, with a slow weight gain compared to the control group; secondly, the tongue changes: dark purple tongue or ecchymosis; ③ change of bulbar conjunctiva microcirculation;
(4) detecting before molding, 1, 4 days per week after molding and before and after traditional Chinese medicine treatment, modifying a microcirculation instrument into a blood stasis syndrome symptom diagnostic instrument, starting blood stasis syndrome symptom diagnostic software, and inputting rabbit numbers, groups and weight information;
(5) the rabbit is placed in a specially-made rectangular fixing box at the lower side in a waking state in a lying position, so that two ears and the head of the rabbit are exposed, the head, the neck and the mouth of the rabbit are fixed by a rabbit head clamp and an iron ring, left eyelid eyelashes are cut off, upper and lower eyelids are opened by an ophthalmologic eyelid opener, blood vessels of a bulbar conjunctiva are exposed, then a high-pressure mercury spotlight is used for obliquely illuminating the bulbar conjunctiva at 45 degrees, an observation image can be synchronously displayed on a computer display by adjusting a camera, whether the synchronous display image is satisfactory or not is observed, the synchronous display image is respectively photographed by a ocular sign camera and a microcirculation microscope, the computer number is input, the image is filed, and the blood stasis syndrome is analyzed and scored;
(6) collecting rabbit ear vein blood, and dividing into 2 test tubes; collecting 1ml of blood by using a 1 st EDTA tube, and detecting CD62P by using a flow cytometry analyzer according to a conventional method; collecting 3ml blood in the 2 nd test tube, separating plasma, extracting by redistilled ethyl acetate, decompressing and draining, storing TXB2, 6-keto-PGF1a, TNF-alpha, vWF and ET-1 to be detected at the temperature of 20 ℃ below zero, adopting a double-antibody sandwich ELISA method, and strictly operating according to the instruction of the kit; measuring OD value at 450nm, and converting into concentration; blood is collected before and after the model is made and after the traditional Chinese medicine treatment.
Further, in step five, the diagnosis criteria include:
the qi deficiency and blood stasis syndrome is divided into groups, the total score is more than 17 points, the main symptoms are net deformity, and the secondary symptoms are blood vessel thickening, hemangioma and saccular dilatation;
secondly, the syndrome groups of qi stagnation and blood stasis, the total integral is more than 17 points, the symptoms are mainly net deformity, obviously increased CD62P and secondary symptoms of blood vessel distortion and hemangioma;
thirdly, the cold congealing and blood stasis syndrome is divided into groups, the total integral is more than 17 points, the main symptoms are net deformity and dark blood vessel color, and the secondary symptoms are blood vessel distortion and ischemic areas;
fourthly, the group of the syndrome of toxic heat and blood stasis, the total score is more than 17 points, the symptoms are mainly that the net deformity, the bleeding and the TNF-a are obviously increased, and the symptoms are that the blood vessel is distorted, the blood vessel is thickened and the blood vessel wall seeps blood;
the group of traumatic blood stasis syndrome, the total score is greater than 17 points, which is mainly manifested by net deformity, blood vessel distortion, ET1 and VWF increase, and is secondarily manifested by blood vessel congestion and blood vessel anger.
The diagnostic criteria were as follows: the total integral is more than 17 points + 1 is mainly expressed; 17 total points plus 2 secondary expressions, including 2; the above conditions are satisfied, and the blood stasis syndrome subtype can be diagnosed.
Further, the quantitative analysis method for identifying blood stasis syndrome subtypes further comprises the following steps:
according to the experimental result, the basic theory of traditional Chinese medicine and the diagnosis standard of blood stasis syndrome are combined, a combined weight method is introduced, and the diagnosis is compiled according to modern new concept diagnosis according to the traditional Chinese medicine diagnosis items of blood stasis syndrome, age, sex, disease species and the like, mainly aiming at the symptom of blood stasis syndrome, and the method comprises the following steps:
general conditions: requiring input of patient name \ age \ occupation \ disease diagnosis; ② the symptoms of the patient: the specific symptoms are all items in the diagnosis standard and are recorded without light, medium and heavy; the software is preset, and then selection is performed when each patient is examined; collecting pictures: eight pictures in four binocular directions are automatically numbered; two pictures of the skin around the binocular, the number, the picture of the tongue, number automatically; fourthly, the content analysis picture is observed according to the blood stasis syndrome eye sign, and man-machine conversation can be carried out; analyzing the result: automatically substituting variable values obtained by picture analysis into a discrimination equation established according to an experimental result for judgment; printing of a diagnostic report: the format is the patient's general condition, individual pictures and diagnostic results.
Another object of the present invention is to provide a quantitative analysis system for identifying a blood stasis subtype using the quantitative analysis method for identifying a blood stasis subtype, including:
the data acquisition and analysis module is used for acquiring and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
the software secondary development module is used for carrying out secondary development on the video card software package by adopting a computer digital image and a colorimetry principle so as to perfect the microcirculation symptom diagnosis software;
the system comprises a symptom diagnostic function equation establishing module, a symptom diagnosis function equation establishing module and a symptom image analyzing module, wherein the symptom diagnostic function equation establishing module is used for establishing a symptom diagnostic function equation by using computer image capturing and analyzing technology and carrying out quantization and statistical processing on a symptom image;
the quantitative analysis and comparison module is used for recording the change of the ocular characteristics before, during and after the molding by adopting a computer image acquisition technology after the molding and converting the change into a digital image for quantitative analysis and comparison;
and the operation specification and diagnosis standard specifying module is used for specifying the operation specification and the diagnosis standard of the blood stasis syndrome.
Further, the computer configuration of the quantitative analysis system for identifying blood stasis syndrome subtypes comprises:
hardware configuration: associating a commercial computer, p 42G/256M/80G/64M display card; a weather sensitive SDK-2000 video card; a 400-line CCD camera; sony500 ten thousand pixel digital camera;
software configuration: adobe photoshop6.0 image software; the sps statistical software; flash mx software; windows98 operating system and office xp applications, digital camera drivers and accompanying image processing systems;
thirdly, configuring a diagnostic apparatus: consists of a 586 computer, an space sensitive SDK-200 video card and an 800-line CCD camera.
Another object of the present invention is to provide a quantitative analysis system for identifying blood stasis subtype, which is applied to an information data processing terminal, and comprises:
the data acquisition module is used for acquiring and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
the video card software optimization module is used for carrying out secondary development on a video card software package by adopting a computer digital image and a colorimetry principle so as to perfect the microcirculation symptom diagnosis software;
the characteristic diagnostic function building module is used for establishing a characteristic diagnostic function equation by using computer image capturing and analyzing technology and carrying out quantization and statistical processing on the characteristic image;
the digital image quantitative analysis module is used for recording the change of the ocular characteristics before, during and after the model building by adopting a computer image acquisition technology, and converting the change into a digital image for quantitative analysis and comparison.
Another object of the present invention is to provide an information data processing terminal including a memory and a processor, the memory storing a computer program, the computer program, when executed by the processor, causing the processor to execute the quantitative analysis method for discriminating a blood stasis syndrome subtype.
It is another object of the present invention to provide a computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the quantitative analysis method for discriminating a blood stasis subtype.
By combining all the technical schemes, the invention has the advantages and positive effects that: the quantitative analysis method for identifying the blood stasis syndrome subtype provided by the invention has no defect by observing the change of the bulbar conjunctiva microvasculature. The bulbar conjunctiva microvasculature is an important content of human microcirculation, is also a modern medical foundation for blood stasis syndrome and eye sign, and is more objective than tongue sign. More importantly, the abnormal physical signs of the bulbar conjunctiva vessels are clearly defined, an objective scoring method is provided, quantitative diagnosis software of the ocular characteristics is compiled, and a ocular characteristic diagnosis instrument is equipped to carry out systematic multi-center clinical research in a plurality of hospitals. Compared with the traditional blood stasis syndrome diagnosis standard, the method has more advantages because the method can quantitatively diagnose the degree of blood stasis. The invention also has the following advantages:
(1) the method initiates a new method for diagnosing the blood stasis syndrome by the ocular characteristics and establishes a mature ocular characteristic operation specification text. Compared with the existing blood stasis syndrome diagnosis, the invention has the unique advantages of no interference from external environment, high specificity and sensitivity, good repeatability, capability of quantitatively diagnosing the severity of the blood stasis syndrome, prediction of the disease detection curative effect, wide application range and the like, is simple and convenient to operate and convenient to popularize; the observation can be directly carried out by naked eyes, and the computer diagnostic instrument can also be used for interpretation; has wide application range, and has been successfully applied to the internal diseases such as systemic lupus erythematosus, connective tissue disease pulmonary hypertension, coronary heart disease, hypertension, chronic liver disease and the like.
(2) Firstly, modern computer technology is adopted, and quantitative diagnosis software and diagnosis instruments for the syndrome of blood stasis are researched and developed, so that misjudgment rate caused by subjective judgment is reduced, the accuracy of diagnosis of the syndrome of blood stasis is further improved, and the computer digitization and informatization of diagnosis of the syndrome of blood stasis are realized.
(3) Deepens the differential diagnosis effect of the ocular symptoms on different subtypes of the blood stasis syndrome, defines the ocular symptom expressions of different subtypes of the blood stasis syndrome, and fills the blank of quantitative diagnosis of the subtypes of the blood stasis syndrome.
The achievement of the invention is identified by experts organized by science and technology halls of Jiangxi province, and is consistently considered to reach the domestic leading level; and is evaluated as a breakthrough in the fields of blood stasis syndrome and blood circulation promoting and blood stasis removing by the well-known professor of the Chinese medical diagnostics of Wang Tian Fang and the Chinese and Western medicine combination expert of Niuhuxin professor, and has remarkable social value.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a quantitative analysis method for identifying blood stasis syndrome subtypes according to an embodiment of the present invention.
Fig. 2 is a schematic view of the observation of the blood stasis syndrome provided by the embodiment of the present invention.
FIG. 3 shows the total integral change of syndrome of blood stasis syndrome provided by the embodiment of the present invention (A)
Figure BDA0003067272590000101
n-13-16).
FIG. 4 is a schematic diagram of variations of rabbit groups TXB2/6-keto-PGF1a provided by an embodiment of the present invention.
Fig. 5 is a schematic diagram of the variations of CD62P before and after molding and before and after treatment for each set according to an embodiment of the present invention.
FIG. 6 is a schematic representation of the expression of ET-1 and vWF from various groups of rabbits provided by the examples of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a quantitative analysis method and a system for identifying blood stasis syndrome subtypes, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the quantitative analysis method for identifying blood stasis syndrome subtypes provided by the embodiment of the present invention is applied to an information data processing terminal, and includes the following steps:
s101, collecting and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
s102, carrying out secondary development on a video card software package by adopting a computer digital image and a colorimetry principle, and perfecting a microcirculation syndrome diagnosis software;
s103, using a computer image capturing and analyzing technology, carrying out quantization and statistical processing on the symptom image, and establishing a symptom diagnostic function equation;
s104, molding; adopting computer image acquisition technology to record the change of the ocular characteristics before, during and after the molding, and converting the change into digital images for quantitative analysis and comparison;
and S105, establishing an operation specification and a diagnosis standard of the blood stasis syndrome.
The invention also provides a quantitative analysis system for identifying blood stasis syndrome subtypes, which is applied to an information data processing terminal and comprises the following components:
the data acquisition module is used for acquiring and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
the video card software optimization module is used for carrying out secondary development on a video card software package by adopting a computer digital image and a colorimetry principle so as to perfect the microcirculation symptom diagnosis software;
the characteristic diagnostic function building module is used for establishing a characteristic diagnostic function equation by using computer image capturing and analyzing technology and carrying out quantization and statistical processing on the characteristic image;
the digital image quantitative analysis module is used for recording the change of the ocular characteristics before, during and after the model building by adopting a computer image acquisition technology, and converting the change into a digital image for quantitative analysis and comparison.
The present invention will be further described with reference to the following examples.
Example 1
The invention provides a technique for treating syndrome of blood stasis, which does not have the defect by observing the change of bulbar conjunctiva microvessels. The bulbar conjunctiva microvasculature is an important content of human microcirculation, is also a modern medical foundation for blood stasis syndrome and eye sign, and is more objective than tongue sign. More importantly, the abnormal physical signs of the bulbar conjunctiva vessels are clearly defined, an objective scoring method is provided, quantitative diagnosis software of the ocular characteristics is compiled, and a ocular characteristic diagnosis instrument is equipped to carry out systematic multi-center clinical research in a plurality of hospitals. Compared with the traditional blood stasis syndrome diagnosis standard, the method has more advantages because the method can quantitatively diagnose the degree of blood stasis.
The eye sign of the blood stasis syndrome is that the blood stasis syndrome and the severity of the blood stasis syndrome are judged by observing the change of blood vessels of the bulbar conjunctiva, so that a quantitative diagnosis technology is formed, and the quantitative diagnosis technology comprises 7 factors and 11 items, and is acquired and analyzed by blood stasis syndrome eye sign diagnosis software: items of periocular skin (tone), bulbar conjunctiva microvascular bleeding (number, tone), reticular malformation (area), vascular tortuosity (number, tortuosity factor, tone), vascular thickening (diameter, tone), hemangioma pattern (number), and reporting of wound points (number) (see fig. 2). And simultaneously, a computer digital image and colorimetry principle are adopted to carry out secondary development on a video card software package, a computer image capturing and analyzing technology is applied, quantification and statistical processing (a Terfel method, logistic regression, attribution analysis and the like) are adopted for a target feature image, a target feature diagnostic function equation is established, and the operation specification and the diagnostic standard of the blood stasis syndrome target feature are formulated.
Meanwhile, the invention divides the common blood stasis syndrome subtypes into 5 subtypes: the diagnosis software for the eye syndrome of qi deficiency and blood stasis, qi stagnation and blood stasis, congealing cold and blood stasis, heat toxin and blood stasis and trauma and blood stasis is further perfected by adopting a computer image acquisition technology, the change of the eye syndrome before, during and after the model building is recorded and converted into digital images for quantitative analysis and comparison, and the diagnosis standard (trial) of the eye syndrome is drawn up as shown in table 1.
TABLE 1 discrimination method for differential diagnosis of different blood stasis syndrome subtypes (trial)
Figure BDA0003067272590000121
Example 2
Comparison of ocular signs of blood stasis syndrome with diagnostic criteria of blood stasis syndrome
(1) Data and method
781 patients who were out-patients and in-patients in the first subsidiary hospital of Nanchang university were randomly selected clinically and classified into groups of blood stasis syndrome and non-blood stasis syndrome according to the international standard of blood stasis syndrome. The diagnosis standards of international and domestic blood stasis syndrome are respectively used for diagnosis, the positive rate of the blood stasis syndrome diagnosis of each standard is respectively calculated, the disease condition of patients diagnosed with the blood stasis syndrome is graded by using the ocular standard, the Japanese standard and the international standard, then the statistical multi-group pairing analysis and regression analysis are respectively carried out on the weight, the middle and the light of each standard, and the sensitivity and the specificity of the six standards are judged.
(2) Results
According to the experimental research steps and methods, the results are shown in table 2, and compared with the existing blood stasis syndrome standard, the target characteristic standard has higher compliance rate and sensitivity.
TABLE 2 comparison of the eye characteristics with the current diagnostic criteria for blood stasis syndrome
Figure BDA0003067272590000131
Second, blood stasis syndrome symptom computer discriminant equation formulation and software compilation
(1) Data and method
1.1 general data
In 624 cases of medical colleges affiliated hospitals of traditional Chinese medicine of Jiangxi province, people hospitals of Jiangxi province, outpatients and inpatients of the first affiliated hospital of Nanchang university and healthy students of medical college of Nanchang university in 9-2007 6 months, 544 cases are total after 80 cases of picture damage are removed. 261 cases of non-blood stasis group, 283 cases of blood stasis group; the age is 18-75 years old, the disease types are wide, but the observation of diabetes, chronic liver disease, liver cirrhosis, cerebrovascular disease, coronary heart disease and other diseases is emphasized.
1.2 observational case criteria
1.2.1 inclusion criteria
The blood-incorporating group simultaneously meets the main standard of blood stasis syndrome diagnosis in Guangzhou conference and the standard of Beijing conference; the patients who do not meet the blood stasis diagnosis main standard of Guangzhou conference and the Beijing conference standard are brought into a non-blood stasis group. ② the age is 18-75 years old, and the male and female are not limited.
1.2.2 exclusion criteria
The patients with ocular inflammation and ocular trauma, and the cases with high fever, insufficient sleep or alcoholism are excluded.
1.3 Observation of blood stasis syndrome
The observation place is selected from natural light or under a fluorescent lamp, the observed person takes the seat, and the lens is adjusted to enable the required observation object to face the camera. Starting the diagnosis software for blood stasis syndrome and entering an image acquisition interface, wherein images can synchronously appear on a computer display. The aperture and the focal length of the camera are adjusted and fixed, and the luminosity, the contrast, the saturation and the chromaticity of the camera are adjusted and fixed in a computer. The surgeon uses the left thumb or index finger to gently separate the right eyelid of the patient's eye and orders the patient's eyeball to rotate upward, downward, leftward and rightward, respectively, to fully expose the desired viewing area. The left eye was observed in this manner. According to the determined observation items of the blood stasis syndrome ocular characteristics, six ocular characteristics image contents (synchronously displayed in a computer) of the eyes in four different directions are rapidly and respectively observed: bulbar conjunctiva hemorrhage, reticular malformation, distorted blood vessels, angry or tumor-like blood vessels, wound spots, and skin around eyes, and pictures were taken. A control card image was taken. And selecting clear images for storage, and automatically archiving by software. The general data of the patient, such as age, sex, disease diagnosis, symptoms and physical signs related to blood stasis syndrome, and index values of blood rheology, are recorded into a computer for storage in time. And carrying out image diagnosis and analysis.
1.4 Observation indicator and integration method
The blood stasis syndrome diagnosis score standard (including symptom score and hemorheology score) is scored according to the blood stasis syndrome diagnosis score standard provided by western aster hospital of Chinese traditional medicine research institute.
1.5 Observation items: 11 entries for 7 factors: periocular skin (tone), bulbar conjunctival microvascular hemorrhage (number, tone), reticular deformity (area), vascular tortuosity (number, tortuosity factor, tone), vascular thickening (diameter, tone), hemangioma pattern (number), and wound site (number) reporting terms.
Eye mark scoring method: the color tone of the skin around the eyes is dark red or bluish purple (dark red marks 5 points, bluish purple marks 10 points); ② the bulbar conjunctiva microvessels are distorted or are in wave deformity (more than 3 vessels are marked by 5 minutes, more than 6 vessels are marked by 10 minutes or the deformity is marked by 10 minutes); ③ the bulbar conjunctiva vessels are angry or nodular (more than 3 vessels mark 5 minutes, more than 6 vessels or microvessels obviously angry or nodular mark 10 minutes); fourthly, the microvascular bulboconjunctival is reticular and malformed (the range exceeds 1/8 or 1/4 bulbar conjunctiva, respectively divided into 5 or 10 points); the color tone of the bulbar conjunctiva microvessels is 5 minutes for dark red marks, and 10 minutes for bluish purple marks; sixthly, bleeding spots or bleeding spots exist in the bulbar conjunctiva (5 points are counted for 1 or 2 bleeding spots, and 10 points are counted for more than 3 bleeding spots or bleeding spots); seventhly, there are injury reporting points on the bulbar conjunctiva (namely there are blood stasis points on the end of the microvascular, the shape is like the size of a needle point, the color is dark purple or black, 5 points are marked for 1 or 2 injury reporting points, and 10 points are marked for 3 more than 10 points).
(2) Results
2.1 comparison of Observation indicators
By adopting covariance analysis and taking age and gender factors as covariates, the blood stasis group has very significant difference (P <0.000) in vascular distortion, vascular thickening, reticular malformation, fresh bleeding, vascular tone, old bleeding, hemangioma and skin tone and the non-blood stasis group, but has no significant difference (P >0.05) in the reported injury point.
2.2 correlation of diagnosis of blood stasis syndrome with Observation of ocular signs
And analyzing the correlation between each observation content and the diagnosis of the blood stasis syndrome by using bivariate of the sps software correlate, wherein each observation index has positive correlation with the blood stasis syndrome.
2.3 discrimination rate of syndrome of blood stasis by symptom of eye syndrome
The software line logistic regression analysis is adopted in the spss, and the model is tested and shown2When the result is 497.254 and P is 0.000, the model is meaningful to establish, and the blood stasis syndrome discrimination coincidence rate is 82.5%.
2.4 establishment of computer discrimination method
2.4.1 regression coefficients for each observation index
And establishing a linear regression equation by taking the blood stasis syndrome integral as a dependent variable to obtain a regression coefficient.
2.4.2 comprehensive coefficient operation
Referring to the results of 3 expert opinions, correlation analysis and regression coefficient of "Terfh method", the comprehensive coefficient was obtained after normalization processing by 100 digits (see Table 3).
TABLE 3 comprehensive coefficient operation table for each index
Figure BDA0003067272590000151
2.4.3 setting up weights according to the comprehensive coefficients
Skin around the eyes, hemangioma, reticular deformity (16-17 points) - - -4 points
Distortion, old bleeding, vessel thickening, vessel tone (10-11 points) -3 points
Fresh bleeding (5 points) - - -2 points
1 point of injury reporting
2.4.4 points
The integral of blood stasis syndrome is taken as a dependent variable, the light and medium severity of each item is taken as an independent variable, and a regression coefficient is obtained by linear regression analysis. Taking regression coefficients of all items as weight proportion reference, and normalizing the light, medium and heavy items according to the proportion of 1, 3 and 5 by 3 scores to obtain scores of all items: 0.3; 0.9; 1.8. taking the minimum value of 0.1 according to the damage reporting points scored by the number; hemangiomas were given a median of 0.9.
2.5 comparison of two sets of ocular characteristics observed integrals
544 cases of patient data are used for calculation to obtain computer target characteristic scores, multiple comparisons are adopted, and the eye target characteristic scores and the computer target characteristic scores are found to have extremely significant differences (P is 0.000) in the blood stasis group, the light, medium, heavy and non-blood stasis group, so that the two integration methods can be used as effective judgment methods for blood stasis syndromes. The visual integration was found to be a positive linear correlation with the computer integration method (r 0.876, P0.000) using a linear correlation analysis of the sps, indicating that the two scoring methods are clinically similar.
2.6 calculating the reference value of non-blood stasis syndrome
The upper and lower limits of the two groups of non-blood stasis syndrome and blood stasis syndrome are calculated according to P90 and P10 by adopting a percentile method. The total integral is the non-blood stasis syndrome P90 value is 32; syndrome of blood stasis P5 is 21; the nominal integral is 30 and 14 respectively; the visual integration method was 25 and 10. Several normal reference values were assumed and tested for specificity, sensitivity, and the best result was selected as the normal reference value. As shown in table 4, the total integral non-blood stasis reference value was set at 29 points or less; the symptom integral is 26 points; the visual integration was under 15 points.
TABLE 4 comparison of specificity and sensitivity of different reference values for each integration method
Figure BDA0003067272590000161
Figure BDA0003067272590000171
(3) Blood stasis syndrome software compiling and diagnostic instrument configuration
According to experimental results, basic theories of 'holism concept' and 'treatment based on syndrome differentiation' of the traditional Chinese medicine and the diagnosis standard of the blood stasis syndrome are combined, a combined weight method is introduced, and the modern new concept diagnosis is compiled according to the traditional diagnosis items of the blood stasis syndrome of the traditional Chinese medicine, age, sex, disease species and the like, and the blood stasis syndrome symptom is taken as the main part. The software comprises: general conditions: the patient name \ age \ occupation \ disease diagnosis is required to be input. ② the symptoms of the patient: the specific symptoms are all items in the diagnosis standard and are recorded without light, medium and heavy. The software is preset and then selected at the time of examination of each patient. Collecting pictures: eight pictures in four binocular directions are automatically numbered; two pictures of the skin around the two eyes, the number, the picture of the tongue, the automatic number. And fourthly, analyzing the picture according to the observation content of the blood stasis syndrome eye sign, and carrying out man-machine conversation. Analyzing the result: and automatically substituting the variable values obtained by picture analysis into a discrimination equation established according to the experimental result for judgment. Printing of a diagnostic report: the format is the patient's general condition, individual picture (optional), diagnostic results.
Computer hardware configuration: associating a commercial computer (p 42G/256M/80G/64M display card); a weather sensitive SDK-2000 video card; a 400-line CCD camera; sony500 ten thousand pixel digital camera. Software configuration: adobe photoshop6.0 image software; the sps statistical software; flash mx software; windows98 operating system and office xp applications, digital camera drivers and accompanying image processing systems. The configuration of the diagnostic instrument: consists of a 586 computer, a space sensitive SDK-200 video card and an 800-line CCD camera.
The configuration of the diagnosis technology and the diagnosis instrument is completed, and the diagnosis technology and the diagnosis instrument are used for clinic and are respectively popularized and applied in a plurality of hospitals such as the first affiliated hospital of Nanchang university, the traditional Chinese medical hospital of Jiangxi province, the people hospital of Jiangxi province and the like.
Third, the diagnosis effect of ocular characteristics on blood stasis syndrome subtype and molecular mechanism
(1) Data and method
96 healthy New Zealand white rabbits (female rabbit is not pregnant) with half female and half male, 5 months old, and 2kg body weight; grade I qualified animals. The blood stasis group is divided into 6 groups according to sex, weight and the like according to a random numerical table, 16 groups are respectively subjected to qi deficiency and blood stasis group, qi stagnation and blood stasis group, congealing cold and blood stasis group, heat toxin and blood stasis group, trauma and blood stasis group and healthy control group for molding. The experimental animals are purchased 1 week before the experiment, and are raised in cages in a quiet environment, the temperature is controlled at (25 +/-1) DEG C, the relative humidity is 60 percent, and water and food are freely taken in. The control group and the group with traumatic blood stasis are fed with basal feed, and the other groups are fed with high-fat high-sugar feed.
According to the revised blood stasis syndrome diagnosis standard in 1986, the model successfully meets the following indexes:
(ii) changes in physical characteristics: such as reduced activity, decreased food intake, yellow and lusterless hair, loose stools or dry, foul stools, and a slower weight gain compared to the control group. Secondly, the tongue changes: the tongue is purple dark or has ecchymosis. ③ change of bulbar conjunctiva microcirculation.
Before and after the model is made, 1, 4 days per week after the model is made and before and after the traditional Chinese medicine treatment, a microcirculation instrument is modified into a blood stasis syndrome symptom diagnostic instrument, blood stasis syndrome symptom diagnostic software is started, and rabbit numbers, groups, weight and other information are input. The rabbit is placed in a special rectangular fixing box at the lower side of a clear-headed state in a lying position, two ears and the head of the rabbit are exposed, the head, the neck and the mouth of the rabbit are fixed by a rabbit head clamp and an iron ring, left eyelid eyelashes are cut off, upper and lower eyelids are opened by an ophthalmological eyelid retractor to expose blood vessels of a bulbar conjunctiva, then a high-pressure mercury spotlight is used for obliquely illuminating the bulbar conjunctiva at 45 degrees, observation images can synchronously appear on a computer display by adjusting a camera, whether the synchronous display images are satisfactory or not is observed, the synchronous display images are shot by a symptom camera and a microcirculation microscope respectively, and the images are stored after being input into a computer number. The ocular signs of blood stasis syndrome were analyzed and scored.
The rabbit ear vein blood was collected and divided into 2 tubes. A1 st EDTA tube was used to collect 1ml of blood, and CD62P was detected by a flow cytometer in accordance with a conventional method. Collecting 3ml blood in the 2 nd test tube, separating plasma, extracting by redistilled ethyl acetate, decompressing and draining, storing TXB2, 6-keto-PGF1a, TNF-alpha, vWF and ET-1 to be detected at the temperature of 20 ℃ below zero, adopting a double-antibody sandwich ELISA method, and strictly operating according to the instruction of the kit. OD was measured at 450nm and converted to concentration. Blood is collected before and after the model is made and after the traditional Chinese medicine treatment.
(2) Results
2.1 Change in ocular characteristic score of post-modeling blood stasis syndrome
After the model is made, the permeability of the bulbar conjunctiva microvessels is increased and the blood vessel edges are blurred in each model group. The total score of each blood stasis syndrome symptom changes at 1 week, 3 week and 5 week of molding. At the 1 st week of molding, the ocular signs of blood stasis of each group have no significant difference (P > 0.05): in the 3 rd week of modeling, the difference between each subtype group of blood stasis syndrome and the healthy control group and each model before modeling is statistically significant (P < 0.05): after treatment, the differences between the blood stasis syndrome subtypes and the blood stasis syndrome subtypes after respective modeling are statistically significant (P <0.05), as shown in FIG. 3.
2.2 modification of different blood stasis subtypes of thromboxane B2(TXB2), 6-keto-prostaglandin (6-keto-PGF1a), TNF-alpha, CD62P (vWF), endothelin (ET-1)
The observation indexes of each group before the model making are not obviously different (P is more than 0.05), the observation values of each group after the model making are obviously improved, the subtype group is obviously improved (P is less than 0.001), and the observation values of each group after the traditional Chinese medicine treatment are obviously improved (compared with the observation values before the treatment, P is less than 0.01). The TXB2/6-keto-PGF1a ratio has no significant difference among groups (P >0.05, see figure 4), after modeling, the TNF-a is obviously higher in the group with toxic heat and blood stasis than other subgroups, the difference has statistical significance (P <0.05), the CD62P is obviously higher in the group with qi stagnation and blood stasis than other subgroups, the difference has statistical significance (P <0.05, see figure 5), and the change of von Willebrand factor (vWF) and endothelin (ET-1) is higher in the group with traumatic blood stasis than other subgroups (P <0.05, see figure 6).
2.3 blood stasis syndrome of laboratory animal (rabbit) and various subtype diagnosis standards (trial)
According to the total points of the blood stasis syndrome and the comparison of the specific items of the bulbar conjunctiva blood vessels, the diagnosis standards of the blood stasis syndrome of each subtype are obtained, and the specific contents are shown in table 5.
TABLE 5 diagnostic criteria for subtypes of blood stasis syndrome in laboratory animals (rabbits) (trial)
Figure BDA0003067272590000191
The diagnostic criteria were as follows: the total integral is more than 17 points + 1 is mainly expressed; 17 total points plus 2 secondary expressions (including 2); the above conditions are satisfied, and the blood stasis syndrome subtype can be diagnosed.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. The quantitative analysis system for identifying blood stasis syndrome subtypes is characterized by being applied to an information data processing terminal and comprising:
the data acquisition module is used for acquiring and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
the video card software optimization module is used for carrying out secondary development on a video card software package by adopting a computer digital image and a colorimetry principle so as to perfect the microcirculation symptom diagnosis software;
the characteristic diagnostic function building module is used for establishing a characteristic diagnostic function equation by using computer image capturing and analyzing technology and carrying out quantization and statistical processing on the characteristic image;
the digital image quantitative analysis module is used for recording the change of the ocular characteristics before, during and after the model building by adopting a computer image acquisition technology, and converting the change into a digital image for quantitative analysis and comparison.
2. A quantitative analysis method for identifying blood stasis syndrome subtypes is characterized by being applied to an information data processing terminal and comprising the following steps:
collecting and analyzing blood stasis syndrome factors and item data through blood stasis syndrome symptom diagnosis software;
the video card software package is developed for the second time by adopting the computer digital image and the colorimetry principle, and the microcirculation symptom diagnosis software is perfected;
using computer image capture analysis technology, adopting quantization and statistical processing to the symptom image, and establishing a symptom diagnostic function equation;
the change of the ocular characteristics before, during and after the model building is recorded by adopting a computer image acquisition technology, and the change is converted into a digital image for quantitative analysis and comparison.
3. The quantitative analysis method for discriminating blood stasis subtype according to claim 2 wherein the blood stasis subtype is divided into 5 subtypes including: qi deficiency and blood stasis, qi stagnation and blood stasis, cold accumulation and blood stasis, heat toxin and blood stasis, and traumatic blood stasis.
4. The quantitative analysis method for discriminating blood stasis subtype according to claim 2 wherein the blood stasis factors and entry data include:
blood stasis syndrome factors: periocular skin, bulbar conjunctival microvascular hemorrhage, reticular malformation, vascular tortuosity, vascular thickening, hemangioma-like and wound site reporting terms;
entry of blood stasis syndrome: the skin tone around the eyes, the bleeding number of the bulbar conjunctiva microvessels, the bleeding tone of the bulbar conjunctiva microvessels, the net-shaped malformed area, the twisting number of the blood vessels, the twisting coefficient of the blood vessels, the twisting tone of the blood vessels, the thickening diameter of the blood vessels, the thickening tone of the blood vessels, the number of hemangioma samples and the number of items of reported injury points.
5. The quantitative analysis method for discriminating blood stasis subtype according to claim 2 characterized by that the statistical treatment includes: the tesfel method, logistic regression and attribution analysis;
the establishing of the target diagnosis function equation comprises the following steps:
(1) the standard of the observed cases: 1) inclusion criteria were: the blood-bringing group which accords with the main standard of blood stasis syndrome diagnosis; bringing the blood stasis which does not accord with the main standard of blood stasis diagnosis into a non-blood stasis group; ② the age is 18-75 years old, male and female are not limited; 2) exclusion criteria: excluding cases with ocular inflammation and ocular trauma, and cases with hyperpyrexia, insufficient sleep or alcoholism;
(2) observing the blood stasis syndrome eye signs;
(3) observation index and integration method: scoring according to the blood stasis syndrome diagnosis integral standard; wherein the blood stasis diagnostic score comprises a symptom score and a hemorheology score;
(4) item characterization observation: comprises 7 factors and 11 items; observing the symptom by utilizing a symptom naked eye scoring method;
(5) the method comprises the following steps of comparison of ocular sign observation indexes, determination of correlation between blood stasis syndrome diagnosis and ocular sign observation items, calculation of discrimination rate of ocular signs on blood stasis syndromes, establishment of a computer discrimination method, ocular sign observation integral comparison and calculation of non-blood stasis syndrome ocular sign reference values.
6. The quantitative analysis method for identifying a subtype of blood stasis syndrome according to claim 5 wherein the observation of the symptom of blood stasis syndrome in step (2) includes:
1) the observation place is selected from natural light or under a fluorescent lamp, the observed person takes an end seat, and the lens is adjusted to enable the required observation object to face the camera; starting diagnosis software for blood stasis syndrome and entering an image acquisition interface, wherein images can synchronously appear on a computer display;
2) adjusting and fixing the aperture and the focal length of the camera, and adjusting and fixing the luminosity, the contrast, the saturation and the chromaticity of the camera in a computer; slightly separating the right eyelid of the patient by using the thumb or the index finger of the left hand of the operator, advising the eyeball of the patient to rotate upwards, downwards, leftwards and rightwards respectively to fully expose the required observation range, and observing the left eye by the method;
3) according to the determined observation items of the blood stasis syndrome ocular signs, the contents of six ocular signs images of the two eyes in four different directions are rapidly and respectively observed, and are synchronously displayed in a computer: bleedings of bulbar conjunctiva, reticular malformation, distorted blood vessels, angry or tumor-like blood vessels, wound points and skin around eyes are reported, pictures are taken, and contrast card images are taken;
4) selecting clear images for storage, and automatically archiving the images by software; recording the data of the patient, including the age, sex, disease diagnosis, symptoms and physical signs related to blood stasis syndrome and various index values of blood rheology into a computer for storage in time, and carrying out image diagnosis and analysis;
in the step (4), the observing of the symptom by utilizing a naked eye grading method comprises the following steps:
the color tone of the skin around the eyes is dark red or bluish purple, the dark red marks are 5 minutes, and the bluish purple marks are 10 minutes; the bulbar conjunctiva microvessels are distorted or are in wave deformity, more than 3 blood vessels are marked for 5 minutes, more than 6 blood vessels or deformity is marked for 10 minutes; ③ the bulbar conjunctiva vessels are angry or warty, more than 3 vessels are marked for 5 minutes, more than 6 vessels or microvessels are obviously angry or warty for 10 minutes; fourthly, the microvascular bulboconjunctival is in net-shaped malformation, the range of the microvascular bulboconjunctival exceeds 1/8 or 1/4, and the anomaly is respectively counted for 5 minutes or 10 minutes; the color tone of the bulbar conjunctiva microvessels is 5 minutes for dark red marks, and 10 minutes for bluish purple marks; sixthly, bleeding points or bleeding spots exist in the bulbar conjunctiva, 5 points are marked for 1 or 2 bleeding points, and 10 points are marked for more than 3 bleeding points or bleeding spots; seventhly, there are injury reporting points on the bulbar conjunctiva, namely there are blood stasis points on the end of the microvascular, the shape is like the size of a needle point, and the color is dark purple or black; 1 or 2 reported injury points are marked for 5 minutes, and more than 3 reported injury points are marked for 10 minutes;
in the step (5), the comparison of the symptom observation indexes comprises:
by adopting covariance analysis and taking age and gender factors as covariates, the blood stasis group has very significant difference in vascular distortion, vascular thickening, reticular malformation, fresh bleeding, vascular tone, old bleeding, hemangioma and skin tone with the non-blood stasis group, P is less than 0.000, but no significant difference is found in the reported injury point, and P is more than 0.05.
7. The quantitative analysis method for identifying a blood stasis subtype according to claim 5, wherein the determination of the association of the blood stasis diagnosis with the symptom observation item in step (5) includes:
analyzing the correlation between each observation content and the diagnosis of the blood stasis syndrome by using bivariate of the sps software correlate, wherein each observation index has positive correlation with the blood stasis syndrome;
in the step (5), the calculating of the discrimination rate of the syndrome of blood stasis by the symptom comprises:
the software line logistic regression analysis is adopted in the spss, and the model is tested and shown2=497.254,P=0.000;
The establishment of the computer discrimination method comprises the following steps:
1) regression coefficient of each observation index: establishing a linear regression equation by taking the blood stasis syndrome integral as a dependent variable to obtain a regression coefficient;
2) and (3) comprehensive coefficient operation: according to the 3 results of expert scoring opinions, correlation analysis and regression coefficient of the 'Terfh method', after normalization processing according to 100 digits, obtaining a comprehensive coefficient;
3) setting a weight according to the comprehensive coefficient: skin around the eyes, hemangioma and reticular deformity, 16-17 points: 4, dividing; distortion, old bleeding, thickening of blood vessels, blood vessel tone, 10-11 points: 3 min; ③ fresh bleeding, 5 points: 2 min; fourthly, reporting the injury points: 1 minute;
4) and (4) score: taking the blood stasis syndrome integral as a dependent variable, taking the light and medium severity of each item as an independent variable, and obtaining a regression coefficient by adopting linear regression analysis; taking regression coefficients of all items as weight proportion reference, and normalizing the light, medium and heavy items according to the proportion of 1, 3 and 5 by 3 scores to obtain scores of all items: 0.3; 0.9; 1.8; taking the minimum value of 0.1 according to the damage reporting points scored by the number; taking the median value of hemangioma to be 0.9;
the symptom observation integral comparison comprises:
1) calculating according to the data of the patient to obtain a computer target characteristic score, and finding that the score of the eye flesh target characteristic and the score of the computer target characteristic have extremely significant differences in the groups with blood stasis, such as the group with light blood stasis, the group with medium blood stasis, the group with heavy blood stasis and the group with non-blood stasis by adopting multiple comparisons, wherein P is 0.000, which indicates that the two integration methods can be used as effective judgment methods for the blood stasis syndrome;
2) by adopting the linear correlation analysis of the sps, the naked eye integration and the computer integration method are found to have positive linear correlation, wherein r is 0.876, and P is 0.000, which indicates that the two scoring methods have similar clinical meanings;
in the step (5), the calculation of the non-blood stasis syndrome symptom reference value comprises:
1) calculating the upper and lower limits of the two groups of non-blood stasis syndrome and blood stasis syndrome according to P90 and P10 by adopting a percentile method;
2) the total integral is the non-blood stasis syndrome P90 value is 32; syndrome of blood stasis P5 is 21; the nominal integral is 30 and 14 respectively; visual integration methods are 25 and 10;
3) assuming a normal reference value, testing the specificity and the sensitivity of the reference value, and selecting the best result as the normal reference value; the total integral non-blood stasis reference value is set below 29 points; the symptom integral is 26 points; the visual integration was under 15 points.
8. The quantitative analysis method for discriminating blood stasis syndrome subtypes according to claim 2, wherein the modeling comprises:
(1) selecting healthy New Zealand white rabbits, which are half female and half male, 5 months old, 2kg in weight and qualified I-level animals; randomly dividing into 6 groups according to sex, weight, etc. according to a random numerical table, and respectively molding for a qi deficiency blood stasis group, a qi stagnation blood stasis group, a cold coagulation blood stasis group, a heat toxin blood stasis group, a trauma blood stasis group and a healthy control group;
(2) purchasing experimental animals 1 week before the experiment, raising the animals in cages in a quiet environment, controlling the temperature to be (25 +/-1) DEG C and the relative humidity to be 60 percent, and freely ingesting water and food; feeding basal feed to a control group and a trauma blood stasis group, and feeding high-fat high-sugar feed to other groups;
(3) according to the revised blood stasis syndrome diagnosis standard in 1986, the model successfully meets the following indexes: (ii) a change in physical characteristics, with a slow weight gain compared to the control group; secondly, the tongue changes: dark purple tongue or ecchymosis; ③ change of bulbar conjunctiva microcirculation;
(4) detecting before molding, 1, 4 days per week after molding and before and after traditional Chinese medicine treatment, modifying a microcirculation instrument into a blood stasis syndrome symptom diagnostic instrument, starting blood stasis syndrome symptom diagnostic software, and inputting rabbit numbers, groups and weight information;
(5) the rabbit is placed in a specially-made rectangular fixing box at the lower side in a waking state in a lying position, so that two ears and the head of the rabbit are exposed, the head, the neck and the mouth of the rabbit are fixed by a rabbit head clamp and an iron ring, left eyelid eyelashes are cut off, upper and lower eyelids are opened by an ophthalmologic eyelid opener, blood vessels of a bulbar conjunctiva are exposed, then a high-pressure mercury spotlight is used for obliquely illuminating the bulbar conjunctiva at 45 degrees, an observation image can be synchronously displayed on a computer display by adjusting a camera, whether the synchronous display image is satisfactory or not is observed, the synchronous display image is respectively photographed by a ocular sign camera and a microcirculation microscope, the computer number is input, the image is filed, and the blood stasis syndrome is analyzed and scored;
(6) collecting rabbit ear vein blood, and dividing into 2 test tubes; collecting 1ml of blood by using a 1 st EDTA tube, and detecting CD62P by using a flow cytometry analyzer according to a conventional method; collecting 3ml blood in the 2 nd test tube, separating plasma, extracting by redistilled ethyl acetate, decompressing and draining, storing TXB2, 6-keto-PGF1a, TNF-alpha, vWF and ET-1 to be detected at the temperature of 20 ℃ below zero, adopting a double-antibody sandwich ELISA method, and strictly operating according to the instruction of the kit; measuring OD value at 450nm, and converting into concentration; blood is collected before and after the model is made and after the traditional Chinese medicine treatment.
9. An information data processing terminal, characterized in that the information data processing terminal comprises a memory and a processor, the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the quantitative analysis method for identifying blood stasis syndrome subtypes according to any one of claims 2 to 8.
10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the quantitative analysis method for discriminating a blood stasis subtype according to any one of claims 2 to 8.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117224231A (en) * 2023-11-16 2023-12-15 四川大学华西医院 Vascular exposure analysis device for hepatectomy dissection

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110218817A1 (en) * 2008-11-12 2011-09-08 Spiegel Rene Method for carrying out clinical studies and method for establishing a prognosis model for clinical studies
CN106483125A (en) * 2015-08-26 2017-03-08 上海依达医疗器械有限公司 A kind of intelligent blood stasis diagnostic apparatuses and its diagnostic method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110218817A1 (en) * 2008-11-12 2011-09-08 Spiegel Rene Method for carrying out clinical studies and method for establishing a prognosis model for clinical studies
CN106483125A (en) * 2015-08-26 2017-03-08 上海依达医疗器械有限公司 A kind of intelligent blood stasis diagnostic apparatuses and its diagnostic method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
余淑娇 等: "热毒血瘀证与寒凝血瘀证家兔模型的血瘀证目征比较及分子机制研究", 《第十次全国中西医结合血瘀证及活血化瘀研究学术大会》 *
吴锐 等: "五种血瘀证亚型实验家兔模型的比较研究", 《河南中医》 *
吴锐 等: "血瘀证目征的现代化研究", 《江西省中西医结合学会第九次活血化瘀学术研讨会活血化瘀临床应用新进展培训班论文集》 *
胡文娟 等: "气虚血瘀证与气滞血瘀证家兔模型的球结膜微循环改变比较", 《新中医》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117224231A (en) * 2023-11-16 2023-12-15 四川大学华西医院 Vascular exposure analysis device for hepatectomy dissection
CN117224231B (en) * 2023-11-16 2024-02-13 四川大学华西医院 Vascular exposure analysis device for hepatectomy dissection

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