CN103197051A - Optimized platelet aggregation function detection analysis method suitable for automated instrument - Google Patents

Optimized platelet aggregation function detection analysis method suitable for automated instrument Download PDF

Info

Publication number
CN103197051A
CN103197051A CN2012100067816A CN201210006781A CN103197051A CN 103197051 A CN103197051 A CN 103197051A CN 2012100067816 A CN2012100067816 A CN 2012100067816A CN 201210006781 A CN201210006781 A CN 201210006781A CN 103197051 A CN103197051 A CN 103197051A
Authority
CN
China
Prior art keywords
platelet
blood
value
detection
platelet aggregation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2012100067816A
Other languages
Chinese (zh)
Inventor
徐新
董自权
曹宁
周强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sinnowa Medical Science and Technology Co Ltd
Original Assignee
Sinnowa Medical Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sinnowa Medical Science and Technology Co Ltd filed Critical Sinnowa Medical Science and Technology Co Ltd
Priority to CN2012100067816A priority Critical patent/CN103197051A/en
Publication of CN103197051A publication Critical patent/CN103197051A/en
Pending legal-status Critical Current

Links

Landscapes

  • Investigating Or Analysing Biological Materials (AREA)

Abstract

An optimized platelet aggregation function detection analysis method suitable for automated instrument belongs to the field of clinical laboratory medicine. The method is an improvement and optimization of an automatic counting detection method for detection analysis of platelet aggregation function. The process is applicable to platelet aggregation function automated analytical instrument employing a counting method. The method detects and records the amount of platelet and calculates aggregation rate. Test results by the laboratory show that the repeatability of the platelet aggregation rate result obtained by the method is superior to that of a prior maximum aggregation rate method.

Description

A kind of platelet aggregation of suitable self-reacting device of optimization detects analytical approach
One, technical field
The present invention relates to a kind of be suitable for self-reacting device pass through measure blood sample platelet counts before and after assembling automatically and change, and carry out analytical calculation automatically according to this delta data and obtain flow process and analytical approach that a kind of platelet aggregation that tested blood sample platelet aggregation is estimated is detected, belong to the clinical laboratory medicine field.
Two, background technology
Platelet aggregation (or aggregation rate) is a hematoblastic critical function in the blood, is an important indicator of evaluating blood coagulation function.Existing platelet aggregation function detecting method mainly is that optical density (or light transmittance energy) changes in the blood plasma (whole blood) by detecting in blood plasma or the whole blood before and after the platelet aggregation (to be called for short: optical method), or electrode is put into whole blood to be checked observe blood sample and add and lure after the poly-agent blood platelet to be adsorbed on the electrode resistance that causes on the electrode to change and (be called for short: electric method).These methods are owing to all respectively have certain defective, detect as optical method, electric method that operation is more loaded down with trivial details, resultant error is bigger.Also add the variation that lures platelet counts after the poly-agent relevant for using blood analyser to detect whole blood before, carry out the method that platelet aggregation detects.But because existing comparatively simple about adopting blood analyser to carry out the method that platelet aggregation detects, it does not also reach higher detection repeatability level.Therefore, this method is that counting method is detected improvement and the optimization of analyzing platelet aggregation.This flow and method is applicable to adopting the platelet aggregation automated analysis instrument of method of counting.
Three, summary of the invention
Optimization method of the present invention is according to a kind of special foundation of this method design the instrument that platelet counts detects the platelet function of estimating blood sample to be finished automatically.All detection only needs to adopt the constantly abundant mixing of a fresh citric acid anti-freezing blood sample, not disconnection is continuous to be detected platelet count in the blood sample, comprise blood sample is added the detection lure after the poly-agent, the platelet aggregation level of this blood sample is judged in the variation before and after adding lures poly-agent according to platelet counts in the blood sample.The concrete testing process of this method is: get a fresh continuous mixing of citric acid anti-freezing blood sample 500ul and continuous detecting secondary platelet Counting quantity, the record platelet counts, and gather agent thromboblast reference value as adding not lure with this secondary platelet count result is average, instrument lures poly-agent to adding in the blood sample automatically subsequently, instrument is also automatically to the blood sample mixing, constant temperature is hatched, after adding lures poly-agent 120 seconds, instrument begins counting to blood sample, continuous several times is carried out blood platelet detection counting subsequently, instrument will add the platelet count value (being no less than 3 times) that lures the blood examination after the poly-agent to obtain automatically and average, and this mean value is detected the blood platelet reference value that obtains before the poly-agent and relatively calculates acquisition to this blood sample average platelet aggregation rate value with adding to lure.Because existing often have certain deviation to platelet count instrument testing result, adopt the single count results to be difficult to obtain to stablize satisfactory detection result.And the platelet aggregation rate result who adopts this detection and computing method to obtain is more stable, also just can reflect the platelet aggregation of blood sample better.Calculating formula with this method testing result (average platelet aggregation rate) is as follows:
Figure BSA00000655585400021
Four, embodiment
The detection analysis process of the inventive method is: with ready anti-freezing blood sample constant temperature to be checked and abundant mixing, then detect platelet counts in the secondary blood sample, as the average back of secondary platelet counts result is compared with mean value and two detection data, if two data differences all are no more than 10% of mean value, then this mean value is just as the reference value of the blood platelet numerical value of this detection.But if two data differences are greater than 10% of another value, then should carry out one-time detection to blood sample again, if any one approaches in two data of the result who detects and detection before again, namely and the difference between one of them result be no more than 10%, then the mean value of these two data is just as the reference value of this detection.Subsequently, blood sample is lured poly-agent by 9: 1 (blood: lure poly-agent) adding, abundant mixing, and timing lures after the poly-agent platelet counts 120 seconds beginning continuous detecting blood samples from adding, to add lure detect after the poly-agent platelet count that obtains according to average as the representative of assembling the back platelet counts, then account form can calculate the platelet aggregation rate value (also can claim average aggregation rate) of this sample designed according to this invention.
We have developed one in the laboratory according to above-mentioned flow scheme design is that the blood platelet automatic analysis of agglomeration instrument of principle carries out a collection of pattern detection according to the inventive method with the counting method, has obtained satisfactory detection result.Concrete experimental implementation: randomly draw 20 parts of fresh blood samples, every part is divided into four parts of blood samples, and detects and record platelet counts automatically and calculate aggregation rate according to this method flow process.Simultaneously, other adopts 20 parts of fresh blood samples to adopt same amount citric acid anti-coagulants, carries out the detection record platelet counts with same automatic platelet aggregation analyser, and according to existing platelet function detection method record MA.Two groups of data are compared, and the result of two kinds of method acquisitions is better with result's repeatability that this method (average aggregation rate method) is obtained as can be seen.
Table 1. obtains platelet aggregation rate repeatability with this method detection computations and observes table
Figure BSA00000655585400031
Figure BSA00000655585400041
* explanation: " A ", " B ", " C ", " D " then represent same sample and are divided into after 4 duplicate samples test result separately in the table, wherein handle for ease of data, data behind each time platelet count mean value radix point 4 are given up 5 go into.
Table 2. is observed table with direct count method detection computations blood platelet MA
Figure BSA00000655585400042
* explanation: " A ", " B ", " C ", " D " then represent same sample and are divided into 4 duplicate samples test result respective value separately in the table.Handle for ease of data, 4 houses 5 of data behind each time platelet count mean value radix point are gone into.
Data analysis and conclusion: adopt the inventive method that 20 samples are detected for 4 times respectively, cumulative errors are 75.49; The mean value of maximum error value is: 3.77 (%).And the platelet aggregation rate cumulative errors that adopt MA detection computations method to obtain are: 122.12, and maximum error mean value is: 6.11 (%).The two difference is fairly obvious.Illustrate and adopt this method to carry out the platelet aggregation rate testing result than better with MA method repeatability.

Claims (5)

1. the platelet aggregation of the suitable self-reacting device of an optimization detects analytical approach, it is characterized in that: this method is carried out this analytic process to platelet count for the analyser on basis by means of a kind of custom-designed robotization, and this method only needs a citric acid anti-freezing fresh whole blood namely can finish this analytic process.Namely will not add earlier and lure the preceding blood sample of poly-agent to carry out secondary or the above detection of secondary, and with the testing result difference that obtains less than 10% platelet count mean value as the blood platelet reference value, lure poly-agent to handle to same blood sample adding subsequently and began in back 120 seconds the spacing frequency continuous several times of this sample with 40 seconds-90 seconds to be detected in the time range by 480 seconds, and platelet count value mean value represents as assembling back platelet count value after the gathering that should obtain in the stage.Adopt blood platelet reference value and ratio or the percent value of the difference of assembling back blood platelet mean value and blood platelet reference value to detect the horizontal index of platelet aggregation that obtains as this method at last, this method began in 480 second time the sample blood platelet to be no less than 2 times after luring poly-agent adding to assembling back blood examination counting in 120 seconds, each being spaced apart of count detection is not less than 30 seconds, and all testing results all participate in assembling back blood platelet mean value calculation during this period;
2. the platelet aggregation according to the suitable self-reacting device of right 1 described a kind of optimization detects analytical approach, it is characterized in that: this method adopts self-reacting device that platelet aggregation is calculated in the data analysis that the direct count detection of platelet counts obtains.The calculating formula of this method can be following A or two kinds of account forms of B stated.This result of calculation also can be represented with number percent;
A:?
Figure FSA00000655585300013
B:?
Figure FSA00000655585300014
3. the blood platelet aggregation according to the suitable self-reacting device of right 1 described a kind of optimization detects analytical approach, it is characterized in that: this method takes suitable control to guarantee data rationally and accurately to detecting data.Namely this method to do not add lure poly-agent before blood sample be no less than secondary detection, its result's mean value is as reference value, be that the data of reference value should derive from and are no less than secondary detection data mean value, this secondary detection result is if difference is kept as the original value before the platelet aggregation less than 10% result mutually, but current secondary detection as a result difference greater than 10% o'clock, instrument should append automatically and lure the original blood platelet numerical value of poly-agent blood sample to detect to not adding, the new testing result that obtains and before any testing result difference less than 10% give keep and with behind two digital averages as gathering thromboblast numerical value (reference value), and the big numerical value of deletion difference, and the testing result of this deletion is not joined gathering thromboblast numerical value (being the blood platelet reference value) calculating yet.For assembling the blood platelet numerical value that the back repeated detection obtains, this method is also removed the irrational or misleading data of part, as the progressively downtrending of platelet counts that detects after assembling, but wherein then deletion automatically of indivedual high jump data, namely this abnormal data does not participate in assembling the average computation of back blood platelet amount detection yet;
4. the platelet aggregation of the suitable self-reacting device of a kind of optimization according to claim 1 detects analytical approach, it is characterized in that: this method to do not add lure poly-agent blood sample to detect and obtain satisfactory blood platelet reference value result according to above-mentioned condition after, instrument can calculate residue blood volume (deduction before each detect blood using amount) automatically and according to the ratio of 9: 1 (blood sample with lure poly-agent) the residue blood sample be added and lure poly-agent, then instrument is automatically to the abundant mixing of blood sample and according to the setting-up time interval, the time interval that namely is no less than 30 seconds is proceeded the platelet count detection to blood sample, the blood platelet numerical value after the mean value representative of this testing result is assembled.This method is applicable to and adopts method of counting blood platelet to be carried out the instrument of aggregation capability automated analysis;
5. the platelet aggregation of the suitable self-reacting device of a kind of optimization according to claim 1 detects analytical approach, it is characterized in that: this method awards before the machine testing on to blood sample and reaches 37 ℃ or the temperature that approaches when 37 ℃ of pre-temperature are guaranteed machine on the sample, and in testing process sample is kept 37 ℃ of constant temperature.
CN2012100067816A 2012-01-10 2012-01-10 Optimized platelet aggregation function detection analysis method suitable for automated instrument Pending CN103197051A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2012100067816A CN103197051A (en) 2012-01-10 2012-01-10 Optimized platelet aggregation function detection analysis method suitable for automated instrument

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2012100067816A CN103197051A (en) 2012-01-10 2012-01-10 Optimized platelet aggregation function detection analysis method suitable for automated instrument

Publications (1)

Publication Number Publication Date
CN103197051A true CN103197051A (en) 2013-07-10

Family

ID=48719742

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2012100067816A Pending CN103197051A (en) 2012-01-10 2012-01-10 Optimized platelet aggregation function detection analysis method suitable for automated instrument

Country Status (1)

Country Link
CN (1) CN103197051A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105938096A (en) * 2015-03-02 2016-09-14 山东泰利信医疗科技有限公司 Method for determination of platelet aggregation rate

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101881737A (en) * 2009-05-06 2010-11-10 北京普利生仪器有限公司 Method and device for testing platelet aggregation

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101881737A (en) * 2009-05-06 2010-11-10 北京普利生仪器有限公司 Method and device for testing platelet aggregation

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
P.M.MANNUCCI ET.AL: "Platelet Volume and Shape in Relation to Aggregation and Adhesion", 《BRIT.J.HAEMAT.》, vol. 13, no. 1, 30 April 1967 (1967-04-30), pages 604 - 617 *
丛玉隆等: "流式细胞术测定血小板聚集探讨", 《临床检验杂志》, vol. 21, no. 5, 31 May 2003 (2003-05-31), pages 279 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105938096A (en) * 2015-03-02 2016-09-14 山东泰利信医疗科技有限公司 Method for determination of platelet aggregation rate

Similar Documents

Publication Publication Date Title
CN202710548U (en) Detecting and analyzing meter for platelet aggregation function
CN102662048B (en) Method and device for analyzing urine
CN102253230B (en) Automatic analyzer and analysis method of blood platelets
WO2021179957A1 (en) Method and device for determining product use quality or performance
CN110379459B (en) Method and system for discovering molecular marker based on transcriptome time sequence dynamic change and gene function association
CN104539471A (en) Bandwidth metering method and device and computer equipment
CN103675022A (en) TDS detection method, detection device and detection system
CN101246113B (en) Monitoring method for hemoglobin test result
CN103163288A (en) Optimized automation-adaptable platelet aggregation function inspection and analysis method
CN110161133A (en) A kind of method that external standard method tests and analyzes component in lithium ion function electrolyte
Wang et al. Analytical comparison between two hematological analyzer systems: Mindray BC‐5180 vs Sysmex XN‐1000
CN104181313B (en) Factor IX quality-control product preparation method
CN109872813A (en) Detection system positive rate appraisal procedure and device, computer readable storage medium
CN103743878A (en) Water quality monitoring data processing method and device
CN105093163A (en) Error debugging method for electronic electric energy meter
CN104182377A (en) Parameter estimation method based on beta likelihood function
CN202126438U (en) Automatic analyzer for platelets
CN103197051A (en) Optimized platelet aggregation function detection analysis method suitable for automated instrument
CN110496799A (en) High efficiency is at the method for differentiating abnormal battery core
CN106682383A (en) Accurate statistical processing method for collected meter code values in metering system
CN104515728B (en) Blood cell analyzer and reticulocyte count device and data correction method
CN108565029A (en) A kind of adverse drug reaction data shadowing effect removing method based on Stratified Strategy
CN209247678U (en) Battery electrolyte condition checkout gear
Kim et al. Erythrocyte sedimentation rate measured using microhemagglutination is not elevated in monoclonal gammopathy compared with other diseases
WO2019000324A1 (en) Blood detection method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C53 Correction of patent of invention or patent application
CB02 Change of applicant information

Address after: 211135 Nanjing, Jiangning, Qilin street, Po Shan Road, No. 7

Applicant after: SINNOWA MEDICAL SCIENCE & TECHNOLOGY CO., LTD.

Address before: 211135 Nanjing, Jiangning, Qilin street, Po Shan Road, No. 7

Applicant before: Nanjing Sinnowa Medical Science & Technology Co., Ltd.

COR Change of bibliographic data

Free format text: CORRECT: APPLICANT; FROM: NANJING SINNOWA MEDICAL SCIENCE + TECHNOLOGY CO., LTD. TO: JIANGSU SINNOWA MEDICAL SCIENCE + TECHNOLOGY CO., LTD.

C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20130710