CN110491505A - The system for predicting the egg mother cell quantity obtained during subject's ovarian stimulation - Google Patents
The system for predicting the egg mother cell quantity obtained during subject's ovarian stimulation Download PDFInfo
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Abstract
If the present invention relates to one kind for predicting that subject receives standard GnRH antagonist scheme ovulation treatment, the system of the egg mother cell quantity obtained during its ovarian stimulation, comprising: which data acquisition module, is used to obtain anti-Miao Le Shi pipe hormone (AMH) level, basic follicle stimulating hormone (FSH) level, the data of antral follicle count (AFC) of subject；And the module of the egg mother cell quantity obtained during prediction ovarian stimulation, it is used to calculate the above- mentioned information of the acquisition in data acquisition module, to calculate the egg mother cell quantity (NROs) of the acquisition of subject.
Description
Technical field
The present invention relates to a kind of for predicting the subject for receiving standard GnRH antagonist scheme ovulation treatment in ovary
The system and method for the egg mother cell quantity obtained in stimulating course.
Background technique
For being subjected to Controlled ovarian stimulation (Controlled ovarian stimulation, COS) and IVF/ICSI
The egg mother cell quantity (The number of retrieved oocytes, NROs) of the women in period, acquisition are considered as into
The strong substitution prognostic marker of function pregnancy.Optimum N ROs helps to improve live birth rate (Live-birth-rate, LBR).
Predict that NROs is the unique method effectively and safely treated before carrying out Controlled ovarian stimulation (COS).
Multiple markers have been used for assessing ovary response, these markers include for example, age, basic follicle stimulating hormone (FSH), sinus
Ovarian follicle counts (AFC) and Anti-Mullerian hormone (AMH), these markers have been widely used in predicting ovary responsiveness.So far
Until, not single ovarian reserve marker can replace other indexs completely.Clinician is generally according to the previous ovum of women
Nest reacts the starting of the clinical experiences such as history, age, AMH, AFC, basis FSH, body mass index (BMI) selection reorganization FSH (rFSH)
Dosage.
Summary of the invention
In conclusion the necessity due to predicting NROs, the purpose of the present invention is to provide a kind of efficient systems, can
If with for predicting that a subject receives standard GnRH antagonist ovulation induction, the quantity of the egg mother cell of acquisition, future
It can carry out preferably to instruct the selection of inducing protocal and reorganization FSH dosage in conjunction with other systems.The present invention explores reliable system
System is to predict to receive the NROs in gonadotropin-releasing hormone (GRH) (GnRH) antagonist scheme.Further, due to GnRH antagonism
Hormonal readiness in agent scheme is actually anyone basic hormonal readiness, therefore system of the invention is right in general population
Assessing before COS may be of great significance with the clinical consultation during ovarian stimulation.Utilize system or method pair of the invention
NROs and the pregnancy outcome for receiving the women that assisted reproductive technology (ART) is treated are beneficial.
The quantity of egg mother cell (Number of retrieved oocytes, NROs) is predicted during ovarian stimulation is
The unique method effectively and safely treated.Logistic regression analysis be widely used in prediction ovary response it is bad whether.But
It is NROs to be divided to for two classes (i.e. low reaction whether) not specific enough and sufficiently for individual.Currently, for specific NROs is predicted
Research it is also considerably less, which hinders the development of individualized treatment in assisted reproductive technology.
To sum up, the present invention relates to following contents:
A kind of system of the egg mother cell quantity for predicting to obtain during subject's ovarian stimulation comprising: data
Acquisition module is used to obtain anti-Miao Le Shi pipe hormone (AMH) level, basic follicle stimulating hormone (FSH) level, sinus of subject
Ovarian follicle counts the data of (AFC)；And the module of the egg mother cell quantity obtained during prediction ovarian stimulation, it is used for logarithm
It is calculated according to the above-mentioned data of the acquisition in acquisition module, to calculate the egg mother cell quantity of the acquisition of subject
(NROs)。
In a specific embodiment of the invention, the subject is standard GnRH antagonist scheme to be received
The subject of ovulation treatment.
In another of the invention specific embodiment, the egg mother cell quantity that is obtained during predicting ovarian stimulation
Module in, be previously stored with based on receiving the anti-of standard GnRH antagonist scheme ovulation treatment patient in existing database
Miao's Le Shi pipe hormone (AMH) is horizontal, basic follicle stimulating hormone (FSH) is horizontal, antral follicle count (AFC) data conversion at point
For predicting that subject exists made of class data, and the classification data based on the patient prestored and negative binomial distribution fitting
When receiving standard GnRH antagonist scheme ovulation treatment, the egg mother cell quantity (NROs) that is obtained during ovarian stimulation
Formula.
Herein, patient, which refers to, receives standard GnRH antagonist scheme ovulation treatment, and over the course for the treatment of, right
Its anti-Miao Le Shi pipe hormone (AMH) is horizontal, basic follicle stimulating hormone (FSH) is horizontal, antral follicle count (AFC) data are adopted
Collection, for constructing the subject for calculating NROs model.
Herein, subject refers to that it will receive standard GnRH antagonist scheme ovulation treatment, by detecting it
Anti- Miao Le Shi pipe hormone (AMH) is horizontal, basic follicle stimulating hormone (FSH) is horizontal, antral follicle count (AFC) data, thus sharp
Its egg mother cell quantity (NROs) obtained during ovarian stimulation can be predicted with system and method for the invention.
In another specific embodiment of the invention, in data acquisition module, anti-Miao Le Shi pipe of collection
Hormone (AMH) level refers to anti-Miao Le Shi pipe hormone concentration of the female subjects in menstrual period any point-in-time venous blood, institute
State the horizontal follicular stimulating hormone concentration referred in the venous blood of female subjects menstruation 2-4 days of basic follicle stimulating hormone (FSH), institute
Stating diameter in two ovaries when antral follicle count (AFC) refers to both transvaginal ultrasonography counting female subjects menstruation 2-4 days is 2-10mm
All visible ovarian follicles number.
In another of the invention specific embodiment, the egg mother cell quantity that is obtained during predicting ovarian stimulation
Module in, when being calculated using the formula, utilize the anti-Miao Le Shi pipe hormone of the subject of data collecting module collected
(AMH) classification data of AMH made of level conversion is calculated,
The classification data of AMH is being by horizontal point of the anti-Miao Le Shi pipe hormone (AMH) of the subject of data collecting module collected
Be five groups, and as follows assign different classification data respectively obtained from,
When AMH is less than 0.5ng/ml, the classification data of AMH is 0；
For AMH in 0.5ng/ml and when more than and less than 1ng/ml, the classification data of AMH is 1；
For AMH in 1ng/ml and when more than and less than 2ng/ml, the classification data of AMH is 2；
For AMH in 2ng/ml and when more than and less than 4ng/ml, the classification data of AMH is 3；And
For AMH in 4ng/ml or more, the classification data of AMH is 4.
In another specific embodiment of the invention, the oocyte number that is obtained during predicting ovarian stimulation
In the module of amount, when being calculated using the formula, stimulated using the subject basis ovarian follicle of data collecting module collected
The classification data of basis FSH made of plain (FSH) level conversion is calculated,
The classification data of basic FSH is to be divided into subject's follicular stimulating hormone (FSH) level of data collecting module collected
Four groups, and as follows assign different classification data respectively obtained from,
When basic FSH is less than 3IU/L, the classification data of basic FSH is 0；
For basic FSH in 3IU/L and when more than and less than 5IU/L, the classification data of basic FSH is 1；
For basic FSH in 5IU/L and when more than and less than 8IU/L, the classification data of basic FSH is 2；
For basic FSH in 8IU/L or more, the classification data of basic FSH is 3.
In another specific embodiment of the invention, the oocyte number that is obtained during predicting ovarian stimulation
In the module of amount, when being calculated using the formula, subject's antral follicle count of data collecting module collected is utilized
(AFC) classification data of the AFC converted is calculated,
The classification data of AFC is that subject's antral follicle count (AFC) data of data collecting module collected are divided into four groups,
And as follows assign different classification data respectively obtained from,
When AFC is less than 4, the classification data of AFC is 0；
When AFC is for 4 and more than and less than 8, the classification data of AFC is 1；
When AFC is for 8 and more than and less than 12, the classification data of AFC is 2；
When AFC is 12 or more, the classification data of AFC is 3.
It is described for calculating the ovum obtained during ovarian stimulation in another specific embodiment of the invention
The formula of mother cell quantity (NROs) is the AMH determined using the AMH level of the subject of the data collecting module collected
The classification data for the AFC that the AFC of classification data, the FSH classification data that the basic FSH level of subject determines and subject is determined
To calculate the formula for obtaining egg mother cell quantity (NROs).
In another specific embodiment of the invention, above-mentioned formula is following formula one:
Log (NROs)=m+n*AMH classification data+j* basis FSH classification data+k*AFC classification data (formula one)；
Wherein n, j and k determine value based on the classification data of the AMH, basis FSH and AFC；Wherein m is selected from
Any number in 0.7435~1.2111, m are preferably 0.9733；
When carrying out the calculating, the module of the egg mother cell quantity obtained during prediction ovarian stimulation is based on the number
According to anti-Miao Le Shi pipe hormone (AMH) of the subject of acquisition module acquisition is horizontal, basic follicle stimulating hormone (FSH) is horizontal, sinus ovum
The data that bubble counts (AFC) are judged, the value of described n, j and k are confirmed according to following standard；
When the AMH level of the subject is less than 0.5ng/ml, n=0；
When the AMH level of the subject is in 0.5ng/ml and when more than and less than 1ng/ml, n is selected from 0.1994~
Any number in 0.5153；N is preferably 0.3574；
When the AMH level of the subject is in 1ng/ml and when more than and less than 2ng/ml, n is selected from 0.5007~0.7984
In any number；N is preferably 0.6496；
When the subject AMH level is in 2ng/ml and when more than and less than 4ng/ml, n is in 0.6883~0.9896
Any number；N is preferably 0.8390；
When the subject AMH level is in 4ng/ml or more, any number of the n in 0.8385~1.1557；n
Preferably 0.9971；
When the basic FSH of the subject is less than 3IU/L, any number of the j in 0.0443~0.4112；J is excellent
It is selected as 0.2278；
When the basic FSH of the subject is in 3IU/L and when more than and less than 5IU/L, j is selected from -0.0972~0.2526
In any number；J is preferably 0.0777；
When the basic FSH of the subject is in 5IU/L and when more than and less than 8IU/L, j is selected from -0.2618~0.0947
In any number；J is preferably -0.0835；
When the AFC of the subject is less than 4, k=0；
When the AFC of the subject is for 4 and more than and less than 8, arbitrary number of the k in 0.1599~0.4629
Value；K is preferably 0.3114；
When the AFC of the subject is for 8 and more than and less than 12, k is any in 0.3553~0.6735
Numerical value；K is preferably 0.5144；
When the AFC of the subject is 12 or more, any number of the k in 0.5027~0.8264；K is preferred
It is 0.6645.
The invention further relates to a kind of method of egg mother cell quantity for predicting to obtain during subject's ovarian stimulation,
Comprising: which data collection steps, obtain anti-Miao Le Shi pipe hormone (AMH) level, the basic follicle stimulating hormone (FSH) of subject
Horizontal, antral follicle count (AFC) data；And during prediction ovarian stimulation the step of the egg mother cell quantity of acquisition,
The above-mentioned data of acquisition in data acquisition module are calculated, to calculate the egg mother cell quantity of the acquisition of subject
(NROs)。
In the above-mentioned methods, the subject is the tested of standard GnRH antagonist scheme ovulation treatment to be received
Person.
In the above-mentioned methods, in the step of egg mother cell quantity obtained during predicting ovarian stimulation, using preparatory
It is stored with based on the anti-Miao Le Shi pipe hormone for receiving standard GnRH antagonist scheme ovulation treatment patient in existing database
(AMH) horizontal, basic follicle stimulating hormone (FSH) is horizontal, antral follicle count (AFC) data conversion at classification data, and
For predicting that subject is receiving standard made of classification data and negative binomial distribution fitting based on the patient prestored
When GnRH antagonist scheme ovulation treatment, the formula of the egg mother cell quantity (NROs) obtained during ovarian stimulation come into
Row calculates.
In the above-mentioned methods, in data collection steps, anti-Miao Le Shi pipe hormone (AMH) level of collection refers to female
Anti- Miao Le Shi pipe hormone concentration of the property subject in menstrual period any point-in-time venous blood, the basic follicle stimulating hormone
(FSH) the horizontal follicular stimulating hormone concentration referred in the venous blood of female subjects menstruation 2-4 days, the antral follicle count
(AFC) refer to all visible ovum that diameter is 2-10mm in two ovaries when both transvaginal ultrasonography counts female subjects menstruation 2-4 days
The number of bubble.
In the above-mentioned methods, in the step of egg mother cell quantity obtained during predicting ovarian stimulation, institute is being utilized
When stating formula and being calculated, formed using anti-Miao Le Shi pipe hormone (AMH) level conversion of the subject of data collecting module collected
The classification data of AMH calculated,
The classification data of AMH is being by horizontal point of the anti-Miao Le Shi pipe hormone (AMH) of the subject of data collecting module collected
Be five groups, and as follows assign different classification data respectively obtained from,
When AMH is less than 0.5ng/ml, the classification data of AMH is 0；
For AMH in 0.5ng/ml and when more than and less than 1ng/ml, the classification data of AMH is 1；
For AMH in 1ng/ml and when more than and less than 2ng/ml, the classification data of AMH is 2；
For AMH in 2ng/ml and when more than and less than 4ng/ml, the classification data of AMH is 3；And
For AMH in 4ng/ml or more, the classification data of AMH is 4.
In the above-mentioned methods, in the step of egg mother cell quantity obtained during predicting ovarian stimulation, institute is being utilized
When stating formula and being calculated, formed using subject's basic follicle stimulating hormone (FSH) level conversion of data collecting module collected
The classification data of basic FSH calculated,
The classification data of basic FSH is to be divided into subject's follicular stimulating hormone (FSH) level of data collecting module collected
Four groups, and as follows assign different classification data respectively obtained from,
When basic FSH is less than 3IU/L, the classification data of basic FSH is 0；
For basic FSH in 3IU/L and when more than and less than 5IU/L, the classification data of basic FSH is 1；
For basic FSH in 5IU/L and when more than and less than 8IU/L, the classification data of basic FSH is 2；
For basic FSH in 8IU/L or more, the classification data of basic FSH is 3.
In the above-mentioned methods, in the step of egg mother cell quantity obtained during predicting ovarian stimulation, institute is being utilized
When stating formula and being calculated, the classification number of the AFC of subject's antral follicle count (AFC) conversion of data collecting module collected is utilized
According to being calculated,
The classification data of AFC is that subject's antral follicle count (AFC) data of data collecting module collected are divided into four groups,
And as follows assign different classification data respectively obtained from,
When AFC is less than 4, the classification data of AFC is 0；
When AFC is for 4 and more than and less than 8, the classification data of AFC is 1；
When AFC is for 8 and more than and less than 12, the classification data of AFC is 2；
When AFC is 12 or more, the classification data of AFC is 3.
In the above-mentioned methods, described for calculating the public affairs of the egg mother cell quantity (NROs) obtained during ovarian stimulation
Formula is the basis of the classification data of the AMH determined using the AMH level of the subject of the data collecting module collected, subject
The classification data for the AFC that the AFC of FSH classification data and subject that FSH level determines is determined calculates acquisition oocyte number
Measure the formula of (NROs).
In the above-mentioned methods, above-mentioned formula is following formula one:
Log (NROs)=m+n*AMH classification data+j* basis FSH classification data+k*AFC classification data (formula one)；
Wherein n, j and k determine value based on the classification data of the AMH, basis FSH and AFC；
Wherein any number of the m in 0.7435~1.2111, m are preferably 0.9733；
When carrying out the calculating, the step of the egg mother cell quantity obtained during predicting ovarian stimulation in, be based on
Anti- Miao Le Shi pipe hormone (AMH) level of the subject of the data collecting module collected, basic follicle stimulating hormone (FSH) water
Flat, antral follicle count (AFC) data are judged, the value of described n, j and k are confirmed according to following standard；
When the AMH level of the subject is less than 0.5ng/ml, n=0；
When the AMH level of the subject is in 0.5ng/ml and when more than and less than 1ng/ml, n is selected from 0.1994~
Any number in 0.5153；N is preferably 0.3574；
When the AMH level of the subject is in 1ng/ml and when more than and less than 2ng/ml, n is selected from 0.5007~0.7984
In any number；N is preferably 0.6496；
When the subject AMH level is in 2ng/ml and when more than and less than 4ng/ml, n is in 0.6883~0.9896
Any number；N is preferably 0.8390；
When the subject AMH level is in 4ng/ml or more, any number of the n in 0.8385~1.1557；n
Preferably 0.9971；
When the basic FSH of the subject is less than 3IU/L, any number of the j in 0.0443~0.4112；J is excellent
It is selected as 0.2278；
When the basic FSH of the subject is in 3IU/L and when more than and less than 5IU/L, j is selected from -0.0972~0.2526
In any number；J is preferably 0.0777；
When the basic FSH of the subject is in 5IU/L and when more than and less than 8IU/L, j is selected from -0.2618~0.0947
In any number；J is preferably -0.0835；
When the AFC of the subject is less than 4, k=0；
When the AFC of the subject is for 4 and more than and less than 8, arbitrary number of the k in 0.1599~0.4629
Value；K is preferably 0.3114；
When the AFC of the subject is for 8 and more than and less than 12, k is any in 0.3553~0.6735
Numerical value；K is preferably 0.5144；
When the AFC of the subject is 12 or more, any number of the k in 0.5027~0.8264；K is preferred
It is 0.6645.
The effect of invention
In general if when can accurately predict that subject obtains ovum number, obtain that ovum number is more, and ovulation induction is controlled when prediction
The promoting sexual gland hormone usage amount needed during treating is lower, conversely, the promoting sexual gland hormone usage amount then needed in ovulation induction
It is more.It can be more precisely predicted using system and method for the invention if subject receives standard GnRH antagonist scheme
Ovulation treatment, the egg mother cell quantity that ovarian stimulation obtains in the process.Also, it can come better in conjunction with other systems
The selection of inducing protocal and reorganization FSH dosage is instructed, preferably to realize individualized treatment.
Detailed description of the invention
By reading the detailed description in hereafter preferred embodiment, the application various other advantages and benefits
It will become apparent to those of ordinary skill in the art.Figure of description only for the purpose of illustrating preferred embodiments,
And it is not considered as the limitation to the application.It should be evident that drawings discussed below is only some embodiments of the present application,
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Other attached drawings.And throughout the drawings, identical component is presented with like reference characters.
Fig. 1 respectively illustrates the egg mother cell quantity situation that Poisson distribution and the fitting of negative binomial distribution obtain.
Fig. 2 shows the Variable Selection process of the progressive method of trimming.
The prediction effect that Fig. 3 prediction model is concentrated in training set and verifying.
The residual distribution figure that Fig. 4 prediction model is concentrated in training set and verifying.
Specific embodiment
The specific embodiment that the present invention will be described in more detail below with reference to accompanying drawings.Although being shown in attached drawing of the invention
Specific embodiment, it being understood, however, that may be realized in various forms the present invention without that should be limited by embodiments set forth here
System.It is to be able to thoroughly understand the present invention on the contrary, providing these embodiments, and can be complete by the scope of the present invention
Be communicated to those skilled in the art.
It should be noted that having used some vocabulary in the specification and claims to censure specific components.Ability
Field technique personnel it would be appreciated that, technical staff may call the same component with different nouns.This specification and right
It is required that not in such a way that the difference of noun is as component is distinguished, but with the difference of component functionally as differentiation
Criterion."comprising" or " comprising " as mentioned throughout the specification and claims are an open language, therefore should be solved
It is interpreted into " including but not limited to ".Specification subsequent descriptions are to implement better embodiment of the invention, so the description be with
For the purpose of the rule of specification, the range that is not intended to limit the invention.Protection scope of the present invention is when the appended right of view
It is required that subject to institute's defender.
Several infertile factor definitions being related in this application are as follows.The first reason or first of infertility herein
Factor is male factor；Second reason or the second factor are mullerianosis；Third reason or third factor are fallopian tubals
Factor；4th reason or the 4th factor are other factors.
Male factor refer to it is all due to male caused by it is infertile.
Mullerianosis refers to the position that active endo cell is planted in other than endometrium and the one kind formed
Women Common Gynecologic Diseases.Endo cell should be grown in uterine cavity, but since uterine cavity is communicated with pelvic cavity by fallopian tubal,
So that endo cell can enter pelvic cavity ectopic growth via fallopian tubal.The main pathological change of mullerianosis is dystopy
Inner membrance cyclic hemorrhage and its surrounding tissue fibrosis form dystopy tubercle, dysmenorrhea, chronic pelvic pain, menoxenia and infertile
It is its cardinal symptom.Lesion can involve all pelvic tissue and organ, with ovary, douglas cul-de-sac, uterosacral ligament etc.
Position is most common, can also betide abdominal cavity, thoracic cavity, four limbs etc..
Tubal factor refers to, transports sperm since fallopian tubal has, picks up ovum and fertilized eggs are transported to uterine cavity
Important function, the main reason for fallopian tube obstruction or dysfunction become female infertility.Cause fallopian tube obstruction or function
The reason of obstacle is acute and chronic salpingitis tubal.
In this application, other factors include excluding male factor, endometrium factor, Tubal factor and not being
Other Infertile factors of the above three classes cause of disease.
Types of variables: in statistics, types of variables can be divided into quantitative variable and qualitative variable (also referred to as classified variable) two
Kind.
Quantitative variable is the variable for describing things quantity and number, and can be divided into continuous type and discrete type.Continuous type
Variable refer in certain section can any value variable, numerical value is that continuously, can there is decimal point.For example,
Pressure value, blood glucose value, somatometric height, weight, bust etc. are continuous variable, and numerical value can only use the side of measurement or metering
Method obtains.Discrete variable refers to that its value can only be the variable of natural number or graduation of whole numbers of units.For example, pain scores, lesion turns
Number is moved, ovum number etc. is obtained, can only be positive number, decimal point cannot be taken, the numerical value of this variable is generally obtained with method of counting.
Classified variable is the variable for describing things classification.Classified variable can be divided into unordered classified variable and orderly divide
Class variable two major classes.Wherein, unordered classified variable (unordered categorical variable) refer to institute it is sub-category or
Difference between attribute without degree and sequence.It can be divided into 1. binomial classification again, such as gender (male, female), drug response (it is negative and
It is positive) etc.；2. multinomial classification, such as blood group (O, A, B, AB), professional (work, agriculture, quotient, soldier) etc..And ordered categorization variable
There is the difference of degree between (ordinal categorical variable) is of all categories.As glucose in urine result of laboratory test by-, ± ,+,
++, +++ classification；Curative effect is by healing, effective, improvement, invalid classifications.For ordered categorization variable, should be first grouped by hierarchal order,
Observation unit's number of each group is checked, the frequency table of ordered set (each grade) is worked out, gained data is known as ranked data.
Types of variables be not it is unalterable, according to the needs of research purpose, can be converted between each class variable.Example
If hemoglobin content (g/L) belongs to numerical variable originally, if by hemoglobin normally with it is relatively low be divided into two classes when, can by binomial classify provide
Material analysis；If increasing when being divided into five grades by anemia, anemia, anemia, normal, hemoglobin, can by etc.
Grade analysis.Sometimes also can the nausea reaction of patient can such as be indicated with 0,1,2,3, then can pressed by grouped data quantification
Numerical variable data (quantitative data) analysis.
Poisson distribution (Poisson distribution) is a kind of counts and the common discrete probabilistic arrived point in Probability
Cloth (discrete probability distribution).Poisson distribution be suitable for describe unit time (or space) in
The number that machine event occurs.Such as a certain fixed space and the disease number of cases occurred in the time, the number of certain palindromia, certain lesion
The number positional of transfer, certain patient's vomiting number, etc..
Negative binomial distribution is statistically a kind of discrete probability distribution.Meet the following conditions is known as negative binomial distribution: real
Test comprising a series of independent experiments, each experiment have successfully, two kinds of failure is as a result, successfully probability is constant, experiment
Continue to r success, r is positive integer.Negative binomial distribution is similar with Poisson distribution, it can also be used to describe certain unit time, sky
The relative frequency of certain interior rare events.It is distributed with Poisson the difference is that, Poisson distribution is only used for describing
Independence event, and negative binomial distribution is usually used in describing aggregation event, such as oncomelania distribution in the soil, point of certain infectious disease
Cloth etc..If usually enumeration data finds the phenomenon that its mean value is greater than variance, often fitting effect is not or not Poisson distribution at this time
It is good, it is contemplated that negative binomial distribution.
In this application, anti-Miao Le Shi pipe hormone (AMH) refers to secreted by a kind of Granulosa cells as the small ovarian follicle of ovary
Hormone, the treasure for woman treasured of fetal period just start manufacture AMH, entovarial small ovarian follicle quantity is more, and the concentration of AMH is just got over
It is high；Conversely, when ovarian follicle as age and various factors gradually use up, AMH concentration can also be decreased, closer to climacteric, AMH
Just gradually in 0.
In this application, follicular stimulating hormone (FSH) refers to that a kind of hormone of anterior pituitary basophil cell secretion, ingredient are
Glycoprotein, main function are to promote follicle maturity.FSH can promote stratum granulosum of ovarian follicle hyperplasia differentiation, and promote entire ovary
It grows up.And it acts on convoluted tubule of testis then can promote spermiogenesis tail.FSH is in pulsatile secretion in human body, and women is with the moon
Change through the period.It measures FSH in serum and understands functional status, the assessment ovum of ovary indirectly to pituitary endocrine function is understood
Infertile and endocrine system disease the diagnoses and treatment such as nest deposit and ovary responsiveness, formulation ovulation induction dosage has important meaning
Justice.
In this application, antral follicle count (AFC) refers to that diameter is that all of 2-10mm can in 2-4 days two ovaries of menstruation
See the number of ovarian follicle.AFC can be measured and be counted to ovarian follicle by ultrasonic wave.
Basic E2 level refers to that estradiol level, estradiol are a kind of Estrogens.There are α, β two types, α type physiology
Effect is strong.It has very strong sex hormone function, it is believed that the most important property that it or it ester is actually ovarian secretion swashs
Element.The basic estradiol level of detection in this application is female two in female subjects menstruation 2-4 days venous blood serum samples
Determining alcohol.
BMI be commonly measure in the world body fat degree and whether Jian Kang major criterion, be mainly used for statistical
Analysis.The judgement of obese degree cannot use the absolute value of weight, it is naturally related with height.Therefore, BMI by body weight and
Height two values obtain relatively objective parameter, and the range locating for this parameter measures body quality.BMI=weight/body
High square (international unit kg/ ㎡)
A kind of glycoprotein promoting sexual gland hormone that interstitialcellstimulating hormone (ICSH) (LH) is secreted by adenopituicyte, can promote cholesterol
Sex hormone is converted into gonadal cell.For women, promote follicle maturity with follicle-stimulating hormone (FSH) (FSH) collective effect,
Estrogen, ovulation and the generation and maintenance of corpus luteum are secreted, progestational hormone and estrogen are secreted.For male, it is raw to promote corpus luteum
Producing element facilitates interstitial glands to synthesize and discharge testosterone.LH level refers to female subjects menstruation 2-4 days venous blood serum
LH concentration in sample.
Herein, rFSH refers to Gonal-F.Wherein the initial dose of rFSH refers to for any decorporation
Ovum scheme, the dosage of reorganization FSH when injecting first time.
In this application, anti-Miao Le Shi pipe hormone (AMH) level refers to any point-in-time in the female subjects menstrual cycle
Venous blood serum sample in anti-Miao Le Shi pipe hormone concentration, follicular stimulating hormone (FSH) level refers to female subjects menstruation
Follicular stimulating hormone concentration in 2-4 days venous blood serum samples, antral follicle count (AFC) refer to both transvaginal ultrasonography count women by
Diameter is the number of all visible ovarian follicles of 2-10mm in two ovaries at examination person's menstruation 2-4 days.
Standard GnRH antagonist ovarian stimulation protocols described herein carry out as follows: people's reorganization FSH (people rFSH) (example
Such as, Gonal-F alfa [Merck Serono, Germany], Puregon beta [MSD, USA], Urofollitropin
[Livzon Pharmaceutical Group Inc., China] or Menotrophins [Livzon Pharmaceutical]
Group Inc., China]) started to be administered at the menstrual cycle the 2nd day.Based on the age, AMH is horizontal, basis FSH is horizontal, AFC water
Flat and BMI etc. selects the initial dose of people rFSH.According to the size and number for the growing follicle that ultrasound observation arrives
And the serum E during monitoring ovarian stimulation2The adjustment of horizontal further progress rFSH dosage.When the follicular diameter of growth reaches
When 10-12mm, start GnRH antagonist for treating.When being more than 18mm at least two dominant follicle diameters by ultrasound observation,
Injecting hCG (Choriogonadotropin alfa, Merck Serono) dosage is 5000-10000IU to trigger final ovum
Mother cell is mature.The progress egg mother cell recycling in 36-38 hours after hCG application.It transplants one or two embryo or progress embryo is cold
Freeze and saves.Backward subject provide luteal phase progesterone support (progesterone vaginal jellies, Merck Serono).
In the specific embodiment of the application, this application involves system and method be for subject be to receive such as
The subject of the upper standard GnRH antagonist scheme ovulation treatment.
This application involves a kind of system of egg mother cell quantity for predicting to obtain during subject's ovarian stimulation,
Include: data acquisition module, is used to obtain anti-Miao Le Shi pipe hormone (AMH) level, the basic follicle stimulating hormone of subject
(FSH) horizontal, antral follicle count (AFC) data；And the mould of the egg mother cell quantity obtained during prediction ovarian stimulation
Block is used to calculate the above-mentioned data of the acquisition in data acquisition module, to calculate the ovum of the acquisition of subject
Mother cell quantity (NROs).
Those skilled in the art will know that many because being known as of the egg mother cell quantity that subject obtains usually are influenced, such as
BMI index, infertility duration, previous in vitro fertilization/intracytoplasmic sperm injection-embryo transfer (IVF/ICSI-ET)
Number of attempt, serum basis E2Horizontal, FSH is horizontal and LH level, serum AMH level, left and right ovary AFCs, infertility the
One, second, third, the 4th and the 5th reason, tradition or slight ovarian stimulation cycles, ovarian stimulation type/COS scheme, recombination
The initial dose and accumulated dose of rFSH, the duration (day) of rFSH treatment, the title of rFSH, human chorionic gonadotrophin
(hCG) endometrium thickness etc. of day is triggered, but in this application, present inventor is final true by further investigation
The anti-Miao Le Shi pipe hormone (AMH) accepted is horizontal, basic follicle stimulating hormone (FSH) is horizontal, antral follicle count (AFC) data this three
A important parameter, to confirm the NROs of subject.
Herein, there is no any restriction for data acquisition module, as long as can be used for obtaining the anti-Miao Le of subject
Family name Guan Jisu (AMH) is horizontal, basic follicle stimulating hormone (FSH) is horizontal, antral follicle count (AFC) data, wherein specific next
It says, anti-Miao Le Shi pipe hormone (AMH) level that data acquisition module obtains refers to female subjects in menstrual period any point-in-time
Anti- Miao Le Shi pipe hormone concentration in venous blood, the basic follicle stimulating hormone (FSH) level that data acquisition module obtains are
Refer to the follicular stimulating hormone concentration in the venous blood of female subjects menstruation 2-4 days, the sinus ovarian follicle that data acquisition module obtains
Counting diameter in two ovaries when (AFC) refers to both transvaginal ultrasonography counting female subjects menstruation 2-4 days is that all of 2-10mm can
See the number of ovarian follicle.Based on the subject for the egg mother cell quantity for needing to predict to obtain during ovarian stimulation, it can be taken
Data in time limit given herein above, to carry out obtaining the prediction of ovum number based on the present processes and system.
It herein, is the module using the egg mother cell quantity obtained during prediction ovarian stimulation to data acquisition module
The above-mentioned data of acquisition in block are calculated, to calculate the egg mother cell quantity (NROs) of the acquisition of subject.Firstly,
It is controlled it should be appreciated that being previously stored in the module based on receiving standard GnRH antagonist scheme ovulation induction in existing database
Treat anti-Miao Le Shi pipe hormone (AMH) level, basic follicle stimulating hormone (FSH) level, the data of antral follicle count (AFC) of patient
For pre- made of the classification data being converted into, and the classification data based on the patient prestored and negative binomial distribution fitting
Subject is surveyed when receiving standard GnRH antagonist scheme ovulation treatment, the oocyte number obtained during ovarian stimulation
Measure the formula of (NROs).Using the formula pre-stored in this way, can be calculated for any subject.
Specifically, this formula prestored is using being previously stored with based on receiving standard GnRH in existing database
Anti- Miao Le Shi pipe hormone (AMH) of antagonist scheme ovulation treatment patient is horizontal, basic follicle stimulating hormone (FSH) is horizontal, sinus
Ovarian follicle count (AFC) data conversion at classification data fitting made of.
When calculating, this formula prestored is horizontal really using the AMH of the subject of the data collecting module collected
Classification data, the FSH classification data that the basic FSH level of subject determines and the AFC that the AFC of subject is determined of fixed AMH
Classification data come calculate obtain egg mother cell quantity (NROs) formula.
As described above, those skilled in the art have different transformation sides when continuous variable is transformed into classified variable
Formula, but present inventor pass through further investigation, it is thus identified that following transition regime.The classification data of AMH is being that will count
It is divided into five groups according to anti-Miao Le Shi pipe hormone (AMH) level of subject that acquisition module acquires, and assigns different points respectively as follows
Obtained from class data, when AMH is less than 0.5ng/ml, the classification data of AMH is 0；AMH 0.5ng/ml and more than and less than
When 1ng/ml, the classification data of AMH is 1；For AMH in 1ng/ml and when more than and less than 2ng/ml, the classification data of AMH is 2；
For AMH in 2ng/ml and when more than and less than 4ng/ml, the classification data of AMH is 3；And AMH is in 4ng/ml or more, AMH
Classification data be 4.
The classification data of basic FSH is to be divided into subject's follicular stimulating hormone (FSH) level of data collecting module collected
Four groups, and as follows assign different classification data respectively obtained from, basic FSH be less than 3IU/L when, the classification number of basic FSH
According to being 0；For basic FSH in 3IU/L and when more than and less than 5IU/L, the classification data of basic FSH is 1；Basic FSH in 5IU/L and
When more than and less than 8IU/L, the classification data of basic FSH is 2；Basic FSH is in 8IU/L or more, the classification number of basic FSH
According to being 3.
The classification data of AFC is that subject's antral follicle count (AFC) data of data collecting module collected are divided into four groups,
And as follows assign different classification data respectively obtained from, when AFC is less than 4, the classification data of AFC is 0；AFC be 4 and
When more than and less than 8, the classification data of AFC is 1；When AFC is for 8 and more than and less than 12, the classification data of AFC is 2；
When AFC is 12 or more, the classification data of AFC is 3.
Further, present inventor constructs the specific formula for predicting NROs, is following formula one: Log
(NROs)=m+n*AMH classification data+j* basis FSH classification data+k*AFC classification data (formula one)；
Wherein n, j and k determine value based on the classification data of the AMH, basis FSH and AFC；Wherein m is selected from
Any number in 0.7435~1.2111, m are preferably 0.9733；When carrying out the calculating, during prediction ovarian stimulation
Anti- Miao Le Shi pipe hormone (AMH) of the module of the egg mother cell quantity of the acquisition subject that acquisition module acquires based on the data
Horizontal, basic follicle stimulating hormone (FSH) level, the data of antral follicle count (AFC) are judged, are confirmed according to following standard
The value of described n, j and k；When the AMH level of the subject is less than 0.5ng/ml, n=0；When the AMH water of the subject
It puts down in 0.5ng/ml and when more than and less than 1ng/ml, any number of the n in 0.1994~0.5153；N is preferably
0.3574；When the AMH level of the subject is in 1ng/ml and when more than and less than 2ng/ml, n is selected from 0.5007~0.7984
In any number；N is preferably 0.6496；When the subject AMH level is in 2ng/ml and when more than and less than 4ng/ml, n
Any number in 0.6883~0.9896；N is preferably 0.8390；When the subject AMH level 4ng/ml and with
When upper, any number of the n in 0.8385~1.1557；N is preferably 0.9971；When the basic FSH of the subject is less than
When 3IU/L, any number of the j in 0.0443~0.4112；J is preferably 0.2278；When the basic FSH of the subject exists
3IU/L and when more than and less than 5IU/L, any number of the j in -0.0972~0.2526；J is preferably 0.0777；Work as institute
The basic FSH of subject is stated in 5IU/L and when more than and less than 8IU/L, any number of the j in -0.2618~0.0947；
J is preferably -0.0835；When the AFC of the subject is less than 4, k=0；When the subject AFC be 4 or more and
When less than 8, any number of the k in 0.1599~0.4629；K is preferably 0.3114；When the AFC of the subject is 8
It is a and when more than and less than 12, any number of the k in 0.3553~0.6735；K is preferably 0.5144；When described tested
When the AFC of person is 12 or more, any number of the k in 0.5027~0.8264；K is preferably 0.6645.
Embodiment
Embodiment 1 chooses the subject for being used preliminarily for building model
Based in January, 2017 to the number obtained between in December, 2017 in The Third Affiliated Hospital of Peking University patient receiving treatment
According to, tentatively progress model construction.For the patient for tentatively carrying out model construction, the basic and clinic for collecting the patient is special
Sign, including surname, medical record number, sequence number, age, BMI index, infertility duration, the previous in vitro fertilization/interior list of ooecium slurry
Sperm injection-embryo transfer (IVF/ICSI-ET) number of attempt, serum basis E2Horizontal, FSH level and LH level, serum AMH
Level, left and right ovary AFCs, the first, second, third, fourth and fifth reason of infertility, tradition or slight ovarian stimulation week
Phase, ovarian stimulation type/COS scheme, recombinate rFSH initial dose and accumulated dose, rFSH treatment duration (day),
Date that the title of rFSH, the endometrium thickness of human chorionic gonadotrophin (hCG) triggering day, egg mother cell take out and
NROs.In in January, 2017 to the preliminary data for having collected 17380 patients between in December, 2017 in total, and based on subscript
Standard come select suitable for rudimentary model building patient, confirm the PATIENT POPULATION for constructing model.
It is included in the standard of model construction are as follows:
1) women of the age between 20 to 45 years old；
2)BMI≤30；
3) treatment cycle≤2 previously attempted；
4) in all hormonal readinesses of endocrine laboratory test of The Third Affiliated Hospital of Peking University；
5) patient receives standard GnRH antagonist ovarian stimulation protocols.
The data for meeting the patient of above-mentioned 5 standards are included in the PATIENT POPULATION for being used to construct model to be used for subsequent mould
Type building.
The standard excluded from model construction group be meet following any situation will the patient exclude: 1) treatment or not
The ovarian cyst for the treatment of；2) operation on ovary was carried out before；3) it Stein-Leventhal syndrome (PCOS) or was used within past 3 months
Oral contraception；4) metabolism or endocrine system disease were suffered from before；5) the past tuberculosis；6) the pregnant history in 3 months；7) it previously puts
Treatment or chemotherapy；8) received the PGD (husband of science of heredity screening/PGS (preimplantation genetic diagnosis technology) before embryo implantation
Woman.
Based on excluding and being included in standard above, the data of 1523 patients are finally selected from the data of 17380 patients
It is constructed for system model of the invention.It is wherein since male's factor induces including 539 patients in 1523 patients
Infertility, 16 patients are the infertility due to endometriosis induction, and 454 patients are since the fallopian tubal factor induces not
Educate and 514 patients there are unknown cause or mixing or other kinds of infertility.The following table 1 lists the middle position of essential characteristic
Several and quartile and NVI.
COS treatment
The GnRH antagonist ovarian stimulation protocols of standard carry out as follows: people rFSH is (for example, Gonal-F alfa [Merck
Serono, Germany], Puregon beta [MSD, USA], Urofollitropin [Livzon Pharmaceutical
Group Inc., China] or Menotrophins [Livzon Pharmaceutical] Group Inc., China]) in the moon
Started to be administered through the period the 2nd day.People rFSH is risen based on age, AMH level, basis FSH level, AFC level and BMI etc.
Beginning dosage is selected.The size and number of the growing follicle arrived according to ultrasound observation and the blood during monitoring ovarian stimulation
Clear E2The adjustment of horizontal further progress rFSH dosage.When the follicular diameter of growth reaches 10-12mm, start GnRH antagonist
Treatment.
When being more than 18mm at least two dominant follicle diameters by ultrasound observation, hCG is injected
(Choriogonadotropin alfa, Merck Serono) dosage is 5000-10000IU to trigger final egg mother cell
It is mature.The progress egg mother cell recycling in 36-38 hours after hCG application.It transplants one or two embryo or carries out Embryo freezing preservation.
Backward patient or subject provide luteal phase progesterone support (progesterone vaginal jellies, Merck Serono).
Antral follicle count measurement, sampling and endocrine measurement
The ovarian follicle that diameter in two ovaries is 2-10mm was measured at the menstrual cycle the 2nd day by Transvaginal Ultrasound scanning, with
Calculate AFC.Venous samples on the same day, are being collected to determine FSH, LH and E2Concentration in serum.In any of menstrual cycle
It extracts blood for detecting AMH.The blood sample of collection is inverted five times immediately, then after being centrifuged and being incubated for 30 minutes,
Assess the serum-concentration of these markers.
FSH, LH and E2Serum measurement use 2000 immunoassay system of Siemens Immulite
(SiemensHealthcare Diagnostics, Shanghai, PR China) is carried out.FSH, LH and E2Three-level quality control
System provided by the laboratory Bio-RAD (Lyphochek Immunoassay Plus Control, Trilevel, catalog number (Cat.No.) 370,
Lot number 40340).Use hypersensitive ELISA (Ansh Labs, USA) kits serum AMH concentration.The variation of quality control
Coefficient for AMH, FSH and LH less than 6%, for E2Less than 10%.
The clinic for 1523 patients that table 1 is chosen and the median of essential characteristic
| 25% quantile | Median | 75% quantile | |
| Age | 29 | 33 | 37 |
| BMI(kg/m2) | 20.2 | 22 | 24.2 |
| Basic FSH (IU/L) | 5.5 | 6.9 | 8.8 |
| Basic LH (IU/L) | 2.4 | 3.5 | 4.9 |
| Basic E2(pmol/L) | 134.0 | 168.0 | 210.0 |
| AMH(ng/ml) | 1.1 | 2.2 | 4.0 |
| AFC | 6 | 9 | 13 |
| HCG triggers day endometrium thickness (mm) | 9 | 10 | 12 |
| RFSH initial dose (IU) | 150 | 225 | 300 |
| The egg mother cell quantity (NROs) of acquisition | 5 | 9 | 12 |
The selection of 2 model construction factor of embodiment
Regression model selection
For the data of above-mentioned 1523 patients, it is first determined the distribution situation of the egg mother cell quantity of acquisition.Due to obtaining
The egg mother cell quantity taken is enumeration data (count data), usually it is contemplated that Poisson distribution or negative binomial distribution.This reality
Apply in example that v.14 software carries out Poisson distribution and the goodness of fit of negative binomial distribution to data respectively and examines using JMP Pro
It tests, as the result is shown as shown in Figure 1, data, which deviate Poisson, is distributed (χ2=7026.46, P < 0.001) obey negative binomial distribution (χ2
=1660.35, P=0.77).Fig. 1 respectively illustrates fit solution when being utilized respectively Poisson distribution and negative binomial distribution,
It can be seen that the egg mother cell quantity (NROs) that acquisition can be preferably fitted using negative binomial distribution from the result of Fig. 1.Due to
The data of the egg mother cell quantity of acquisition obey negative binomial distribution, therefore following be all made of is divided based on negative binomial in the present embodiment
The negative binomial of cloth returns to handle data.
The classification of influence factor
In view of following reason, the continuous variable analysis indexes that will test in the present embodiment are converted to classification data,
This is because due to, there are apparent correlation, will lead to synteny between many indexes in building model and reducing model
Prediction efficiency, the relationship of egg mother cell quantity of each index and acquisition can preferably be shown by carrying out classifying and dividing；(2) classification number
According to being easier to explain in practice, it is also easier to apply.The assignment situation of each index is as shown in table 2, and according to 2 assignment situation of table
Influence factor in following table is divided into 4 groups or 5 groups accordingly.Wherein, the age is grouped into four groups, is less than respectively 30 years old, this
The classification data of Shi Nianling is 0；More than and less than 35 years old, the classification data at age was 1 at this time within 30 years old；35 years old more than and less than 40
In year, the classification data at age is 2 at this time；40 years old or more, the classification data at age was 3 at this time.BMI index is divided into four groups, respectively
18.5 are less than, the classification data of BMI is 0 at this time；18.5 more than and less than 24, and the classification data of BMI is 1 at this time；24 or more
And less than 27, the classification data of BMI is 2 at this time；And 27 or more, the classification data of BMI is 3 at this time.AMH points are 5 groups, respectively
It is that AMH is less than 0.5ng/ml, the classification data of AMH is 0 at this time；AMH is 0.5 more than and less than 1ng/ml, the at this time classification of AMH
Data are 1；AMH is 1 more than and less than 2ng/ml, and the classification data of AMH is 2 at this time；AMH 2 more than and less than 4ng/ml, this
When AMH classification data be 3；And AMH, in 4ng/ml or more, the classification data of AMH is 4 at this time.AFC points are 4 groups, are respectively
AFC is less than 4, and the classification data of AFC is 0 at this time；AFC is 4 more than and less than 8, and the classification data of AFC is 1 at this time；
AFC is 8 more than and less than 12, and the classification data of AFC is 2 at this time；AFC is 12 or more, and the classification data of AFC is at this time
3.Basic FSH level is divided into 4 groups, is that basic FSH is less than 3IU/L respectively, the classification data of basis FSH is 0 at this time；Basic FSH
In 3IU/L more than and less than 5IU/L, the classification data of basis FSH is 1 at this time；Basic FSH is in 5IU/L more than and less than 8IU/
L, the classification data of basis FSH is 2 at this time；Basic FSH is in 8IU/L or more, and the classification data of basis FSH is 3 at this time.Basic LH
Level is divided into 4 groups, is that basic LH level is less than 2IU/L respectively, the classification data of basis LH level is 0 at this time；Basic LH exists
2IU/L is more than and less than 5IU/L, and the classification data of basis LH level is 1 at this time；Basic LH level 5IU/L more than and less than
8IU/L, the classification data of basis LH level is 2 at this time；And basis LH level is in 8IU/L or more, basis LH is horizontal at this time
Classification data is 3.Basic E2Level is divided into 4 groups, is basic E respectively2Level is less than 150pmol/L, at this time basis E2Horizontal point
Class data are 0；Basic E2Level 150 more than and less than 200pmol/L, basis E at this time2Horizontal classification data is 1；Basis
E2Level 200 more than and less than 250pmol/L, basis E at this time2Horizontal classification data is 2；Basic E2Level exists
250pmol/L or more, at this time basis E2Horizontal classification data is 3.RFSH initial dose is divided into 4 groups, is rFSH starting respectively
Dosage is less than 150IU, and the classification data of rFSH initial dose is 0 at this time；RFSH initial dose 150IU more than and less than
250IU, the classification data of rFSH initial dose is 1 at this time；RFSH initial dose in 250IU more than and less than 300IU, at this time
The classification data of rFSH initial dose is 2；And rFSH initial dose is in 300IU or more, the at this time classification of rFSH initial dose
Data are 3.
Each index assignment of table 2
Single factor analysis
V.14 using software JMP Pro, it is returned using negative binomial, analysis single factors (obtain ovum number, i.e., to final result variable
NROs influence).As can be seen that age, AMH, FSH, rFSH, AFC, BMI, LH, Infertile factors have in single factor analysis
Statistical significance.Basic E2It is horizontal then not statistically significant, and its RR value very close 1, therefore in subsequent analysis, first
By basic E2Level is rejected from model construction.
3 the results of univariate logistic analysis of table
Embodiment 3 constructs prediction model
As described above, selecting negative binomial to return to construct statistical model, the selection of prediction index is using the progressive method trimmed
It is verified with holdback, v.14 using software JMP Pro, establishes prediction model, the data set that above-mentioned 1523 patients are formed
Two parts are randomly divided into, a part is used as training set (1066 data, 70%), and another part is as verifying collection (457 numbers
According to 30%).
Firstly, constructing modeling in training set, and verifying modelling effect is concentrated in verifying.The main root of the selection of prediction model
According to the negative log-likelihood that verifying is concentrated, the negative log-likelihood for verifying concentration is lower, and hints model is more excellent.
Fig. 2 shows the Variable Selection process of the progressive method of trimming, specifically, in addition to the E of rejecting2Except, on remaining
It states single factor test and is included in multifactor negative binomial regression model, progressive method and holdback verifying by trimming obtain Fig. 2's
Model, from figure 2 it can be seen that the negative log-likelihood for verifying concentration at this time is minimum, therefore when third step at this time
Model as optimal models.The variable for including in model at this time is tri- variables of AMH, FSH, AFC.At this time in the prediction model
The parameter estimation result of each variable is as shown in table 4, and 95% confidence interval of each parameter is shown further in table 4.
The parameter estimation result of 4 prediction model of table
Based on the above method, it confirmed following formula one in the present embodiment.
Log (NROs)=m+n*AMH classification data+j* basis FSH classification data+k*AFC classification data (formula one)
Wherein n, j and k determine value based on the classification data of the AMH, basis FSH and AFC；Wherein m is selected from
Any number in 0.7435~1.2111, m are preferably 0.9733；
When carrying out the calculating, the module of the egg mother cell quantity obtained during prediction ovarian stimulation is based on the number
According to anti-Miao Le Shi pipe hormone (AMH) of the subject of acquisition module acquisition is horizontal, basic follicle stimulating hormone (FSH) is horizontal, sinus ovum
The data that bubble counts (AFC) are judged, the value of described n, j and k are confirmed according to following standard；
When the AMH level of the subject is less than 0.5ng/ml, n=0；
When the AMH level of the subject is in 0.5ng/ml and when more than and less than 1ng/ml, n is selected from 0.1994~
Any number in 0.5153；N is preferably 0.3574；
When the AMH level of the subject is in 1ng/ml and when more than and less than 2ng/ml, n is selected from 0.5007~0.7984
In any number；N is preferably 0.6496；
When the subject AMH level is in 2ng/ml and when more than and less than 4ng/ml, n is in 0.6883~0.9896
Any number；N is preferably 0.8390；
When the subject AMH level is in 4ng/ml or more, any number of the n in 0.8385~1.1557；n
Preferably 0.9971；
When the basic FSH of the subject is less than 3IU/L, any number of the j in 0.0443~0.4112；J is excellent
It is selected as 0.2278；
When the basic FSH of the subject is in 3IU/L and when more than and less than 5IU/L, j is selected from -0.0972~0.2526
In any number；J is preferably 0.0777；
When the basic FSH of the subject is in 5IU/L and when more than and less than 8IU/L, j is selected from -0.2618~0.0947
In any number；J is preferably -0.0835；
When the AFC of the subject is less than 4, k=0；
When the AFC of the subject is for 4 and more than and less than 8, arbitrary number of the k in 0.1599~0.4629
Value；K is preferably 0.3114；
When the AFC of the subject is for 8 and more than and less than 12, k is any in 0.3553~0.6735
Numerical value；K is preferably 0.5144；
When the AFC of the subject is 12 or more, any number of the k in 0.5027~0.8264；K is preferred
It is 0.6645.
It is as shown in Figure 3 for the prediction effect of training set and the model of verifying collection building using the above method.It is horizontal in Fig. 3
Coordinate shows the NROs using model prediction, that is, the subject predicted carries out standard antagonist scheme ovulation induction, obtains
Egg mother cell quantity, ordinate show the egg mother cell quantity of the actually detected acquisition arrived of the subject, it is seen that such as Fig. 3 institute
Show, the model of above-mentioned building is concentrated in training set and verifying and obtains good prediction effect, the data of prediction with it is actually detected
The number goodness of fit it is high.Further, the residual distribution of training set and verifying collection is as shown in Figure 4, it can be seen that residual error is in normal state point
Cloth.It can be seen that ovum mother's quantity that the system of the present embodiment building can be used for the acquisition to subject carries out good prediction.
Although embodiment of the present invention is described in conjunction with attached drawing above, the invention is not limited to above-mentioned
Specific embodiments and applications field, above-mentioned specific embodiment are only schematical, directiveness, rather than restricted
's.Those skilled in the art are under the enlightenment of this specification and in the range for not departing from the claims in the present invention and being protected
In the case where, a variety of forms can also be made, these belong to the column of protection of the invention.
Claims (9)
1. a kind of system of the egg mother cell quantity for predicting to obtain during subject's ovarian stimulation comprising:
Data acquisition module is used to obtain anti-Miao Le Shi pipe hormone (AMH) level, the basic follicle stimulating hormone of subject
(FSH) horizontal, antral follicle count (AFC) data；And
The module for predicting the egg mother cell quantity obtained during ovarian stimulation, is used for the acquisition in data acquisition module
Above-mentioned data are calculated, to calculate the egg mother cell quantity (NROs) of the acquisition of subject.
2. system according to claim 1, wherein
The subject is the subject of standard GnRH antagonist scheme ovulation treatment to be received.
3. system according to claim 1 or 2, wherein
In the module of the egg mother cell quantity obtained during predicting ovarian stimulation, it is previously stored with based in existing database
Horizontal, the basic ovarian follicle of anti-Miao Le Shi pipe hormone (AMH) for receiving standard GnRH antagonist scheme ovulation treatment patient stimulates
Plain (FSH) horizontal, antral follicle count (AFC) data conversion at classification data, and point based on the patient prestored
For predicting that subject is receiving standard GnRH antagonist scheme ovulation treatment made of class data and negative binomial distribution fitting
When, the formula of the egg mother cell quantity (NROs) obtained during ovarian stimulation.
4. system described in any one of claim 1 to 3, wherein
In data acquisition module, anti-Miao Le Shi pipe hormone (AMH) level of collection refers to female subjects in the menstrual period
Anti- Miao Le Shi pipe hormone concentration in any point-in-time venous blood, basic follicle stimulating hormone (FSH) level refer to women by
Follicular stimulating hormone concentration in the venous blood of examination person's menstruation 2-4 days, the antral follicle count (AFC) refer to that both transvaginal ultrasonography counts female
Property subject menstruation 2-4 days when two ovaries in diameter be 2-10mm all visible ovarian follicles number.
5. system according to claim 4, wherein
In the module of the egg mother cell quantity obtained during predicting ovarian stimulation, when being calculated using the formula,
Using the classification data of AMH made of anti-Miao Le Shi pipe hormone (AMH) level conversion of the subject of data collecting module collected come
It is calculated,
The classification data of AMH is being that anti-Miao Le Shi pipe hormone (AMH) level of the subject of data collecting module collected is divided into five
Group, and as follows assign different classification data respectively obtained from,
When AMH is less than 0.5ng/ml, the classification data of AMH is 0；
For AMH in 0.5ng/ml and when more than and less than 1ng/ml, the classification data of AMH is 1；
For AMH in 1ng/ml and when more than and less than 2ng/ml, the classification data of AMH is 2；
For AMH in 2ng/ml and when more than and less than 4ng/ml, the classification data of AMH is 3；And
For AMH in 4ng/ml or more, the classification data of AMH is 4.
6. system according to claim 4, wherein
In the module of the egg mother cell quantity obtained during predicting ovarian stimulation, when being calculated using the formula,
The classification number of basis FSH made of subject's basic follicle stimulating hormone (FSH) level conversion using data collecting module collected
According to being calculated,
The classification data of basic FSH is that subject's follicular stimulating hormone (FSH) level of data collecting module collected is divided into four groups,
And as follows assign different classification data respectively obtained from,
When basic FSH is less than 3IU/L, the classification data of basic FSH is 0；
For basic FSH in 3IU/L and when more than and less than 5IU/L, the classification data of basic FSH is 1；
For basic FSH in 5IU/L and when more than and less than 8IU/L, the classification data of basic FSH is 2；
For basic FSH in 8IU/L or more, the classification data of basic FSH is 3.
7. system according to claim 4, wherein
In the module of the egg mother cell quantity obtained during predicting ovarian stimulation, when being calculated using the formula,
It is calculated using the classification data of the AFC of subject's antral follicle count (AFC) conversion of data collecting module collected,
The classification data of AFC is that subject's antral follicle count (AFC) data of data collecting module collected are divided into four groups, and such as
It is lower assign different classification data respectively obtained from,
When AFC is less than 4, the classification data of AFC is 0；
When AFC is for 4 and more than and less than 8, the classification data of AFC is 1；
When AFC is for 8 and more than and less than 12, the classification data of AFC is 2；
When AFC is 12 or more, the classification data of AFC is 3.
8. the system according to any one of claim 3~7, wherein
The formula for calculating the egg mother cell quantity (NROs) obtained during ovarian stimulation is to utilize the data
The FSH that classification data, the basic FSH level of subject for the AMH that the AMH level of the subject of acquisition module acquisition determines determine
The classification data for the AFC that the AFC of classification data and subject are determined obtains the formula of egg mother cell quantity (NROs) to calculate.
9. system according to claim 8, wherein
The formula is following formula one:
Log (NROs)=m+n*AMH classification data+j* basis FSH classification data+k*AFC classification data (formula one)；
Wherein n, j and k determine value based on the classification data of the AMH, basis FSH and AFC；
Wherein any number of the m in 0.7435~1.2111, m are preferably 0.9733；
When carrying out the calculating, the module of the egg mother cell quantity obtained during prediction ovarian stimulation is adopted based on the data
Collect anti-Miao Le Shi pipe hormone (AMH) level, basic follicle stimulating hormone (FSH) level, sinus ovarian follicle meter of the subject of module acquisition
The data of number (AFC) are judged, the value of described n, j and k are confirmed according to following standard；
When the AMH level of the subject is less than 0.5ng/ml, n=0；
When the AMH level of the subject is in 0.5ng/ml and when more than and less than 1ng/ml, n is in 0.1994~0.5153
Any number；N is preferably 0.3574；
When the AMH level of the subject is in 1ng/ml and when more than and less than 2ng/ml, n is in 0.5007~0.7984
Any number；N is preferably 0.6496；
When the subject AMH level is in 2ng/ml and when more than and less than 4ng/ml, n appointing in 0.6883~0.9896
Meaning numerical value；N is preferably 0.8390；
When the subject AMH level is in 4ng/ml or more, any number of the n in 0.8385~1.1557；N is preferred
It is 0.9971；
When the basic FSH of the subject is less than 3IU/L, any number of the j in 0.0443~0.4112；J is preferably
0.2278；
When the basic FSH of the subject is in 3IU/L and when more than and less than 5IU/L, j is in -0.0972~0.2526
Any number；J is preferably 0.0777；
When the basic FSH of the subject is in 5IU/L and when more than and less than 8IU/L, j is in -0.2618~0.0947
Any number；J is preferably -0.0835；
When the AFC of the subject is less than 4, k=0；
When the AFC of the subject is for 4 and more than and less than 8, any number of the k in 0.1599~0.4629；k
Preferably 0.3114；
When the AFC of the subject is for 8 and more than and less than 12, any number of the k in 0.3553~0.6735；
K is preferably 0.5144；
When the AFC of the subject is 12 or more, any number of the k in 0.5027~0.8264；K is preferably
0.6645。
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| PCT/CN2020/087232 WO2021031605A1 (en) | 2019-08-22 | 2020-04-27 | System for predicting number of retrieved oocytes during ovarian stimulation of subject |
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| Publication number | Priority date | Publication date | Assignee | Title |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1346281A (en) * | 1999-03-31 | 2002-04-24 | 赞塔里斯股份公司 | Method for a programmed controlled overain simulation protocol |
| US20170227554A1 (en) * | 2016-02-04 | 2017-08-10 | American Infertility Of New York, P.C. | Diagnosis, and anti-mullerian hormone (amh) administration for treatment, of infertility for good-, intermediate- and poor-prognosis patients for in vitro fertilization in view of logistic regression models |
| CN107257690A (en) * | 2015-02-26 | 2017-10-17 | 辉凌公司 | The method for treating infertility |
| CN109602394A (en) * | 2018-12-12 | 2019-04-12 | 北京大学第三医院 | The system for assessing subject's Ovary reserve |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0161063B1 (en) * | 1984-04-03 | 1991-07-24 | Serono Laboratories, Inc. | Method of inducing ovulation |
| US20080215353A1 (en) * | 2006-08-31 | 2008-09-04 | Akin James W | Method of Frozen Donor Egg Banking |
| EP2821502A1 (en) * | 2013-07-05 | 2015-01-07 | Centre National de la Recherche Scientifique (CNRS) | Method for evaluating developmental competence of an oocyte |
| CN110491505B (en) * | 2019-08-22 | 2021-06-01 | 北京大学第三医院（北京大学第三临床医学院） | System for predicting the number of oocytes obtained during ovarian stimulation of a subject |
-
2019
- 2019-08-22 CN CN201910780793.6A patent/CN110491505B/en active Active
-
2020
- 2020-04-27 WO PCT/CN2020/087232 patent/WO2021031605A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1346281A (en) * | 1999-03-31 | 2002-04-24 | 赞塔里斯股份公司 | Method for a programmed controlled overain simulation protocol |
| CN107257690A (en) * | 2015-02-26 | 2017-10-17 | 辉凌公司 | The method for treating infertility |
| US20170227554A1 (en) * | 2016-02-04 | 2017-08-10 | American Infertility Of New York, P.C. | Diagnosis, and anti-mullerian hormone (amh) administration for treatment, of infertility for good-, intermediate- and poor-prognosis patients for in vitro fertilization in view of logistic regression models |
| CN109602394A (en) * | 2018-12-12 | 2019-04-12 | 北京大学第三医院 | The system for assessing subject's Ovary reserve |
Cited By (20)
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|---|---|---|---|---|
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