Full-automatic sample treatment system and method for blood coagulation detection

Abstract

The invention belongs to the technical field of medical treatment, and provides a blood coagulation detection full-automatic sample processing system and method.The method comprises the steps that in a detection period, performance data of a sample is collected, and a coagulation state value of the sample is obtained based on processing and analysis of the performance data of the sample; the obtained solidification state value NG is compared with a solidification state threshold value ANG, the result comprises a detectable sample and a non-detectable sample, submission data of the non-detectable sample is obtained, the submission data and performance data are subjected to combined analysis and processing, and a submission influence value is obtained; judging whether the inspection time can influence the solidification state of the detection sample or not according to the inspection influence value, if so, generating an influence signal, generating a detection sample sorting table according to the inspection time of the detection sample based on the generated influence signal, and sequentially detecting the detection sample according to the detection sample sorting table, sorting the detection samples from large to small according to the submission time to obtain a detection sample sorting table;

Description

Technical Field

[0001] The invention belongs to the field of medical technology, and in particular relates to a fully automatic sample processing system and method for coagulation detection. Background Art

[0002] In the context of the development of clinical laboratory automation, an advanced technology has been developed to meet the accuracy and efficiency requirements of coagulation testing. Its application will help improve detection efficiency, reduce human errors, and promote the development of clinical laboratory automation.

[0003] A Chinese patent application with the publication number CN113848336A discloses: a fully automatic liquid sample processing system and processing method, which relates to the technical field of experimental instruments, and the processing device includes: a chassis, a three-axis motion module, a code scanning module, a shaking module, a clamping cover module, a capping module, a pipette gun and an electric clamping claw arranged in the chassis; the present invention adopts a pipette gun for sampling, which ensures the accuracy of pipetting, and at the same time, the blood collection tube cover is assembled and pulled out by the electric clamping claw and the capping and pulling out module to open the blood collection tube, which does not destroy the sealing of the cover, so it can well solve the error caused by the sealing. After the liquid is transferred to the headspace bottle, it is clamped by the clamping cover module, which can ensure the airtightness after pipetting and also reduce the operation of personnel, avoid infection to the operator, reduce the work intensity of the operator, improve production efficiency and reduce the error caused by the operation of personnel, and provide the accuracy of sampling and good sealing.

[0004] In the above-mentioned existing technology, there is a lack of analysis on the coagulation state of blood samples, which leads to errors in the test results of subsequent tests. There is a lack of analysis on the impact of the test time on the coagulation state of samples, which not only increases the test cost but also reduces the test accuracy. In addition, samples with long test time are not sorted, so that most samples are not tested in time due to the long test time, so that the samples coagulate and cannot be tested.

[0005] To this end, the present invention provides a fully automatic sample processing system and method for coagulation detection. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve its technical problem is: a fully automatic sample processing method for coagulation detection, comprising: collecting performance data of the sample within a detection period, wherein the performance data includes a coagulation state value, and obtaining the coagulation state value of the sample based on processing and analyzing the performance data of the sample;

[0008] The obtained coagulation state value NG is compared with the coagulation state threshold value aNG, and whether the coagulation state of the sample can be detected is determined according to the comparison result, and a result is obtained, which includes a detectable sample and an undetectable sample.

[0009] A fully automatic sample processing system for coagulation detection, comprising:

[0010] Coagulation analysis module: obtains the performance data of the sample within the detection cycle, obtains the coagulation state value of the sample based on the processing and analysis of the sample performance data, and determines whether the test can be performed based on the comparison result of the sample coagulation state value, where the results include detectable samples and undetectable samples.

[0011] Detection influence module: Based on the undetectable samples, the inspection data of the undetectable samples are obtained, and based on the combined analysis of the inspection data and the performance data, the inspection influence value is obtained. According to the inspection influence value, it is determined whether the inspection time will affect the coagulation state of the test sample. If so, an influence signal is generated.

[0012] Sorting detection module: Based on the generated impact signal, within the next detection cycle, a detection sample sorting table is generated according to the delivery time of the detection samples, and the detection samples are sequentially detected according to the detection sample sorting table.

[0013] The beneficial effects of the present invention are as follows:

[0014] 1. During the detection period, the performance data of the sample is collected, and the coagulation state value of the sample is obtained based on processing and analysis of the performance data of the sample. The coagulation state value NG is obtained by comparing the obtained coagulation state value with the coagulation state threshold value aNG, and whether the coagulation state of the sample is coagulated is determined according to the comparison result, and a result is obtained. The result includes an undetectable sample and a detectable sample. The present invention monitors and analyzes the coagulation state of the blood sample to determine whether the sample can be detected, which is conducive to identifying the undetectable sample.

[0015] 2. Based on the undetectable samples, the inspection data of the undetectable samples are obtained, and based on the combined analysis of the inspection data and the performance data, the inspection influence value is obtained through processing, and the inspection influence value YX is compared with the inspection influence threshold; if the inspection influence value YX is greater than the inspection influence threshold, it means that the inspection time has an impact on the coagulation state of the inspection sample, and an impact signal is generated; the present invention determines whether the inspection time will have an impact on the coagulation state of the inspection sample by analyzing the changing relationship between the inspection time and the coagulation state of the inspection sample, which is conducive to investigating and analyzing whether the reason why the undetectable samples are undetectable is caused by too long inspection time, so as to facilitate the subsequent priority inspection of the undetectable samples. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 It is a flowchart of the steps of a fully automatic sample processing method for coagulation detection described in Embodiment 1 and Embodiment 2 of the present invention;

[0018] Figure 2 This is a module diagram of a fully automatic sample processing system for coagulation detection described in Example 3 of the present invention. DETAILED DESCRIPTION

[0019] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0020] Example 1

[0021] like Figure 1 As shown, a fully automatic sample processing method for coagulation detection according to an embodiment of the present invention comprises:

[0022] Step 1: During the detection period, the performance data of the sample is collected, wherein the performance data includes a coagulation state value, and the coagulation state value of the sample is obtained based on processing and analyzing the performance data of the sample;

[0023] Exemplarily, the solidification state value is obtained in the following manner:

[0024] Counting the number of solidified particles in the sample and the volume of each solidified particle, summing and averaging the volumes of all solidified particles in the sample to obtain the volume mean of the solidified particles in the sample;

[0025] The number of solidified particles in all samples is summed up to obtain the total number of solidified particles, and the number of solidified particles in the sample is ratioed to the total number of solidified particles to obtain the percentage of the number of solidified particles in the sample, which is marked as SL;

[0026] The volume mean of the solidified particles in all samples is summed to obtain the total volume mean of the solidified particles. The volume mean of the solidified particles in the sample is ratioed to the total volume mean of the solidified particles to obtain the volume ratio of the solidified particles in the sample, which is marked as TJ.

[0027] The obtained solidified particle number ratio SL in the sample and the solidified particle volume ratio TJ in the sample are processed by the formula: The solidification state value NG is obtained, wherein s1 and s2 are both preset proportional coefficients;

[0028] It should be noted that the solidification state value NG means: the solidification state value NG is calculated by combining the solidification particle number ratio SL and the solidification particle volume ratio TJ, wherein the solidification particle number ratio SL reflects the ratio of the number of solidification particles in the sample to the total number of solidification particles, and the solidification particle volume ratio TJ represents the ratio of the mean volume of solidification particles in the sample to the total mean volume of solidification particles. In essence, it reflects the solidification state of the sample. If the solidification particle number ratio SL is higher and the solidification particle volume ratio TJ is higher, the solidification state value NG is higher. In this case, the solidification state of the sample is stronger. Conversely, if the solidification particle number ratio SL is lower and the solidification particle volume ratio TJ is lower, the solidification state value NG is lower. In this case, the solidification state of the sample is weaker.

[0029] Step 2: Compare the obtained coagulation state value NG with the coagulation state threshold aNG, determine whether the state of the sample to be detected is coagulated according to the comparison result, and obtain the result, which includes the sample that cannot be detected and the sample that can be detected;

[0030] Specifically, the threshold value of the coagulation state is aNG;

[0031] If the coagulation state value NG is greater than the coagulation state threshold aNG, the detected sample is marked as an undetectable sample;

[0032] If the coagulation state value NG is less than or equal to the coagulation state threshold aNG, the detected sample is marked as a detectable sample;

[0033] The technical solution of the embodiment of the present invention is: obtaining performance data of the sample collected within the detection period, obtaining the coagulation state value of the sample based on processing and analysis of the performance data of the sample, comparing the obtained coagulation state value NG with the coagulation state threshold aNG, judging whether the coagulation state of the sample is coagulated according to the comparison result, and obtaining the result, which includes the undetectable sample and the detectable sample. The present invention monitors and analyzes the coagulation state of the blood sample to judge whether the sample can be detected, which is conducive to identifying the sample that cannot be detected at the beginning.

[0034] Example 2

[0035] like Figure 1 As shown, based on Example 1, a fully automatic sample processing method for coagulation detection according to an embodiment of the present invention includes:

[0036] Step 3: Based on the undetectable sample, obtaining the inspection data of the undetectable sample, wherein the inspection data includes the inspection time value, and processing the inspection impact value based on the combined analysis of the inspection data and the performance data, and judging whether the inspection time will affect the coagulation state of the inspection sample according to the inspection impact value, and if so, generating an impact signal;

[0037] In some instances, the test submission time value of the untestable sample is compared with a preset test submission time value;

[0038] If the inspection time value is greater than the preset inspection time value, the undetectable sample will be marked as a target sample;

[0039] If the inspection time value is less than or equal to the preset inspection time value, the sample that cannot be detected will be marked as a non-target sample;

[0040] Count the number of target samples in the undetectable samples and compare them with the total number of undetectable samples to obtain the target sample value, which is marked as MZ;

[0041] The target sample's inspection time value is subtracted from the preset inspection time value to obtain the target sample's inspection excess value;

[0042] With the target sample's excess value as the X-axis and the target sample's coagulation state value as the Y-axis, an XY two-dimensional rectangular coordinate system is constructed, the target sample's coagulation state value is marked in the XY two-dimensional rectangular coordinate system, and the marked data points are connected to obtain a coagulation change curve;

[0043] The coagulation change curve is divided into a plurality of coagulation sub-curves with equal horizontal lengths, the two end points of the coagulation sub-curves are connected by straight lines to obtain a connecting line of the coagulation sub-curves, and the slope of the connecting line of the coagulation sub-curves is measured to obtain a slope value of the coagulation sub-curves;

[0044] Obtain the slope value of the coagulation sub-curve, divide the coagulation sub-curve according to the slope value of the coagulation sub-curve, and divide the coagulation sub-curve into a growth sub-curve and a non-growth sub-curve. Specifically:

[0045] If the slope value of the coagulation subcurve is positive, the coagulation subcurve is marked as a growth subcurve;

[0046] If the slope value of the coagulation subcurve is not positive, the coagulation subcurve is marked as a non-growth subcurve;

[0047] The number of growth sub-curves is counted and the ratio is processed with the total number of solidification sub-curves to obtain the first impact value, which is marked as DY;

[0048] It should be noted that the first influence value means: the first influence value reflects the proportion of the number of growth sub-curves in the coagulation sub-curve, wherein, if the proportion of the number of growth sub-curves is higher, it means that as the inspection time exceeds the preset inspection time, the coagulation state of the test sample is stronger, which means that the inspection time has an impact on the coagulation state of the test sample;

[0049] Obtain the slope values ​​of all growth sub-curves and integrate them into a slope data group, obtain the variance value of the slope data group, which is the second impact value and is marked as FC;

[0050] It should be noted that the second influence value means: the second influence value reflects the slope value of each growth sub-curve obtained by the variance value formula. When the variance value is larger, the coagulation state value of the target is higher. On the contrary, when the variance value is smaller, the coagulation state value of the target sample is lower.

[0051] The target sample value MZ, the first impact value DY and the second impact value FC are processed by the formula: The inspection impact value YX is obtained, where a1, a2 and a3 are all preset proportional coefficients;

[0052] It should be noted that the meaning of the inspection influence value YX is: the inspection influence value YX is calculated by the target sample value MZ, the first influence value DY and the second influence value FC. The target sample value MZ reflects the number of target samples in the undetectable samples. The first influence value DY represents the number of growth sub-curves in the coagulation change curve and the second influence value FC reflects the slope value of all growth sub-curves. The variance value after integration into the slope data group actually represents whether the inspection time of the sample can affect the coagulation state. If the target sample value MZ and the first influence value DY are larger and the second influence value FC is smaller, the inspection influence value YX is larger, and the inspection time will affect the coagulation state. If the target sample value MZ and the first influence value DY are smaller and the second influence value FC is larger, the inspection influence value YX is smaller.

[0053] In some embodiments, the inspection impact value YX is compared with the inspection impact threshold, which is specifically expressed as:

[0054] If the inspection impact value YX is greater than the inspection impact threshold, it means that the inspection time has an impact on the coagulation state of the inspection sample, and an impact signal is generated;

[0055] If the inspection impact value YX is less than or equal to the inspection impact threshold, it means that the inspection time has no effect on the coagulation state of the test sample;

[0056] Step 4: Based on the generated influence signal, in the next detection cycle, a detection sample ranking table is generated according to the detection sample submission time, and the detection samples are sequentially detected according to the detection sample ranking table;

[0057] Specifically, the test samples are sorted from largest to smallest according to the time of submission for testing, and a test sample sorting table is obtained;

[0058] The technical solution of the embodiment of the present invention is: based on the undetectable sample, the inspection data of the undetectable sample is obtained, based on the combined analysis of the inspection data and the performance data, the inspection influence value is obtained by processing, and the inspection influence value YX is compared with the inspection influence threshold; if the inspection influence value YX is greater than the inspection influence threshold, it means that the inspection time has an impact on the coagulation state of the inspection sample, and an impact signal is generated; the present invention determines whether the inspection time will have an impact on the coagulation state of the inspection sample by analyzing the changing relationship between the inspection time and the coagulation state of the inspection sample, which is conducive to the investigation and analysis of whether the reason why the undetectable sample cannot be detected is caused by too long inspection time, so as to facilitate the subsequent priority sorting and detection of the undetectable samples.

[0059] Example 3

[0060] like Figure 2 As shown, a fully automatic sample processing system for coagulation detection according to an embodiment of the present invention includes:

[0061] Coagulation analysis module: obtains the performance data of the sample within the detection period, processes and analyzes the performance data of the sample, obtains the coagulation state value of the sample, and determines whether the test can be performed based on the comparison result of the coagulation state value of the sample, where the results include no coagulation and undetectable;

[0062] Detection influence module: based on the undetectable samples, the inspection data of the undetectable samples are obtained, and the inspection influence value is obtained by combining and analyzing the inspection data and the performance data. According to the inspection influence value, it is determined whether the inspection time will affect the coagulation state of the test sample. If so, an influence signal is generated;

[0063] Sorting detection module: Based on the generated impact signal, within the next detection cycle, a detection sample sorting table is generated according to the delivery time of the detection samples, and the detection samples are sequentially detected according to the detection sample sorting table.

[0064] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A fully automatic sample processing method for coagulation detection, characterized in that: include: During the detection period, performance data of the sample is collected, wherein the performance data includes a coagulation state value, and the coagulation state value of the sample is obtained based on processing and analyzing the performance data of the sample; The obtained coagulation state value NG is compared with the coagulation state threshold value aNG, and whether the sample can be detected is determined according to the comparison result, and a result is obtained, which includes a detectable sample and an undetectable sample; Based on the undetectable sample, the inspection data of the undetectable sample is obtained, and based on the combined analysis of the inspection data and the performance data, the inspection impact value is obtained, and it is determined whether the inspection time will affect the coagulation state of the inspection sample according to the inspection impact value, and if so, an impact signal is generated; Based on the generated influencing signal, in the next detection cycle, a detection sample ranking table is generated according to the detection sample submission time, and the detection samples are sequentially detected according to the detection sample ranking table.

2. A fully automatic sample processing method for coagulation detection according to claim 1, characterized in that: The method for obtaining the solidification state value NG is as follows: The obtained solidified particle number ratio SL in the sample and the solidified particle volume ratio TJ in the sample are processed to obtain the solidification state value NG.

3. A fully automatic sample processing method for coagulation detection according to claim 2, characterized in that: The method of obtaining the percentage of solidified particles SL is as follows: The number of solidified particles in all samples is summed to obtain the total number of solidified particles, and the number of solidified particles in the sample is ratioed to the total number of solidified particles to obtain the percentage of the number of solidified particles in the sample, which is marked as SL.

4. A fully automatic sample processing method for coagulation detection according to claim 3, characterized in that: The solidified particle volume fraction TJ is obtained as follows: The volume mean of the solidified particles in all samples is summed to obtain the total volume mean of the solidified particles. The volume mean of the solidified particles in the sample is ratioed to the total volume mean of the solidified particles to obtain the volume ratio of the solidified particles in the sample, which is marked as TJ.

5. A fully automatic sample processing method for coagulation detection according to claim 4, characterized in that: The method for obtaining the undetectable sample is as follows: If the coagulation state value NG is greater than the coagulation state threshold aNG, the detected sample is marked as an undetectable sample; If the coagulation state value NG is less than or equal to the coagulation state threshold aNG, the detected sample is marked as a detectable sample.

6. A fully automatic sample processing method for coagulation detection according to claim 1, characterized in that: The method for obtaining the inspection impact value YX is as follows: The target sample value MZ, the first influence value DY and the second influence value FC are processed and the inspection influence value YX is obtained by calculation.

7. A fully automatic sample processing method for coagulation detection according to claim 6, characterized in that: The inspection time value of the undetectable sample is compared with the preset inspection time value. If the inspection time value is greater than the preset inspection time value, the undetectable sample is marked as a target sample; If the inspection time value is less than or equal to the preset inspection time value, the sample that cannot be detected will be marked as a non-target sample; The number of target samples in the undetectable samples is counted and compared with the total number of undetectable samples to obtain the target sample value MZ.

8. The fully automatic sample processing method for coagulation detection according to claim 1, characterized in that: The acquisition method of the generation influence signal is: If the inspection impact value YX is greater than the inspection impact threshold, it means that the inspection time has an impact on the coagulation state of the inspection sample, and an impact signal is generated; If the inspection submission influence value YX is less than or equal to the inspection submission influence threshold, it means that the inspection submission time has no influence on the coagulation state of the inspection sample.

9. The fully automatic sample processing method for coagulation detection according to claim 1, characterized in that: The sample sorting table is obtained in the following manner: Based on the generated influence signal, a test sample sorting table is generated according to the test sample submission time. The test sample sorting table is sorted from large to small according to the test sample submission time. The test samples are sequentially tested according to the test sample sorting table.

10. A fully automatic sample processing system for coagulation detection, the system realizing the fully automatic sample processing application method for coagulation detection according to any one of claims 1 to 9, characterized in that: include: Coagulation analysis module: obtains the performance data of the sample within the detection period, processes and analyzes the performance data of the sample, obtains the coagulation state value of the sample, and determines whether the test can be performed based on the comparison result of the coagulation state value of the sample, wherein the result includes the sample that can be detected and the sample that cannot be detected; Detection influence module: based on the undetectable samples, the inspection data of the undetectable samples are obtained, and the inspection influence value is obtained by combining and analyzing the inspection data and the performance data. According to the inspection influence value, it is determined whether the inspection time will affect the coagulation state of the test sample. If so, an influence signal is generated; Sorting detection module: Based on the generated impact signal, within the next detection cycle, a detection sample sorting table is generated according to the delivery time of the detection samples, and the detection samples are sequentially detected according to the detection sample sorting table.

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