JP6472965B2 - Automatic analyzer and abnormality determination method - Google Patents

Description

  The present invention relates to an automatic analyzer and an abnormality determination method for analyzing components contained in a specimen.

  As an automatic analyzer, a biochemical analyzer that analyzes various components contained in a specimen such as blood and urine is known. This biochemical analyzer creates a calibration curve from the measurement results of a standard sample (a sample having a known concentration), and calculates the concentration of the analysis target component contained in the patient sample using the calibration curve.

  By the way, when a patient sample is continuously measured, the measurement value of the measurement item is not abnormal (outside the normal range) in the continuous patient sample, but may be a higher or lower value. Possible causes include abnormalities in the biochemical analyzer (dispensing failure, parts failure, parts replacement, etc.) and reagent failures (reagent deterioration, liquid volume difference, insufficient washing, etc.). Due to such an apparatus abnormality or reagent failure (hereinafter collectively referred to as “apparatus abnormality etc.”), if a continuously high or low value of a measurement value of a measurement item of a consecutive patient sample occurs, depending on the value, an abnormality may occur. May be determined as a value. That is, the patient sample is determined to be an abnormal value even though there is no abnormality.

  Patent Document 1 discloses an automatic analyzer that can detect an abnormality in a measured value derived from a reaction process abnormality caused by bubbles or foreign matters without complicating the processing and functions of the apparatus. The automatic analyzer described in Patent Document 1 calculates the concentration of the sample from the detection value for the same sample of the photometric detector, calculates the fluctuation range from the average value of the calculated concentrations, and the calculated fluctuation range is predetermined. Judge whether it is within the allowable fluctuation range or not. Then, when the fluctuation range of the concentration calculated from the detection value of the light intensity detector is not within the allowable fluctuation range, the automatic analyzer displays on the display unit that the reaction process is abnormal.

JP2013-134139A

  The automatic analyzer described in Patent Literature 1 does not determine that the reaction process is abnormal when the fluctuation range of the measurement value is within the allowable fluctuation range when higher or lower measurement values are continuously generated. However, in this automatic analyzer, if the measured value continuously measured changes gradually to a higher or lower value within the allowable fluctuation range due to device abnormality or reagent failure, there is no abnormality in the sample. However, there is a possibility that the measured value is erroneously determined as an abnormal value when it finally deviates from the allowable fluctuation range.

  The present invention has been made in view of the above situation, and when a measurement value of a measurement item of a continuous sample is a high or low value, it is immediately determined that a specific measurement value in an individual sample is abnormal. Therefore, it is an object of the present invention to be able to determine an abnormality that is not caused by a specimen.

  An automatic analyzer according to an aspect of the present invention includes a measurement mechanism that continuously measures a plurality of samples and outputs measurement values of measurement items of each sample, a setting table that stores predetermined conditions and a predetermined number of times, Have Further, the control unit that compares the measurement value output from the measurement mechanism with a predetermined condition stored in the setting table, and determines that it is abnormal when the measurement value continuously matches the predetermined condition a predetermined number of times. Is provided.

  As described above, in one aspect of the present invention, a measurement value (for example, concentration) of a continuous specimen is compared with a predetermined condition (for example, an upper threshold value and a lower threshold value), and a continuous measurement value is obtained. When the predetermined condition is continuously met a predetermined number of times, it is determined that there is an abnormality. Therefore, it is possible to discover an abnormality (such as an apparatus abnormality or a reagent failure) that does not originate from the specimen without immediately determining that a specific measurement value in an individual specimen is abnormal.

It is explanatory drawing which shows typically the automatic analyzer which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the example of an internal structure of the computer which concerns on the 1st Embodiment of this invention. It is a flowchart which shows the determination process of the continuous measurement data. FIG. 4A is a diagram illustrating an example of a determination value setting table, and FIG. 4B is a diagram illustrating an example of a measurement result. FIG. 5A is a diagram illustrating another example of the determination value setting table, and FIG. 5B is a diagram illustrating another example of the measurement result. It is an example of the judgment value setting text. It is an example of a judgment value setting screen. It is a measurement result of the measurement item of 2 types of patient specimens, and is a figure which shows the relationship between a measurement point and a measured value. It is a flowchart which shows the determination process with respect to 2 types of patient samples. It is a flowchart which shows the determination process with respect to two types of patient samples with a patient type classification. It is a flowchart which shows the determination process with respect to the sample whose patient type is unknown.

  Hereinafter, an example of an embodiment for carrying out the present invention will be described with reference to the accompanying drawings. In addition, in each figure, about the component which has the substantially same function or structure, the same code | symbol is attached | subjected and the overlapping description is abbreviate | omitted.

<1. First Embodiment>
[Configuration of automatic analyzer]
The apparatus shown in FIG. 1 is a biochemical analyzer 1 applied as an example of the automatic analyzer of the present invention. The biochemical analyzer 1 is an apparatus that automatically measures the amount of a specific component contained in a biological sample such as blood or urine.

  As shown in FIG. 1, the biochemical analyzer 1 includes a measurement mechanism 1 </ b> A and a calculator 30. The measurement mechanism 1A includes a sample turntable 2, a dilution turntable 3, a first reagent turntable 4, a second reagent turntable 5, and a reaction turntable 6. The measurement mechanism 1A includes a sample dilution pipette 7, a sampling pipette 8, a dilution stirring device 9, a dilution washing device 11, a first reagent pipette 12, a second reagent pipette 13, and a first reaction stirring device 14. And a second reaction stirrer 15, a multi-wavelength photometer 16, a thermostatic chamber 17, and a reaction vessel cleaning device 18.

  The sample turntable 2 is formed in a substantially cylindrical shape with one end in the axial direction opened. The sample turntable 2 contains a plurality of specimen containers 21 and a plurality of diluent containers 22. The specimen container 21 contains a specimen (sample) made of blood, urine, or the like. The diluent container 22 stores special diluents other than normal saline, which is a normal diluent, standard specimens, management specimens, washing liquids, and the like.

  The plurality of sample containers 21 are arranged side by side with a predetermined interval in the circumferential direction of the sample turntable 2. Further, two rows of the specimen containers 21 arranged in the circumferential direction of the sample turntable 2 are set at a predetermined interval in the radial direction of the sample turntable 2.

  The plurality of diluent containers 22 are arranged on the inner side in the radial direction of the sample turntable 2 than the row of the plurality of sample containers 21. The plurality of diluent containers 22 are arranged side by side at a predetermined interval in the circumferential direction of the sample turntable 2, similarly to the plurality of sample containers 21. The rows of the diluent containers 22 arranged in the circumferential direction of the sample turntable 2 are set in two rows at predetermined intervals in the radial direction of the sample turntable 2.

  Note that the arrangement of the plurality of specimen containers 21 and the plurality of diluent containers 22 is not limited to two rows, but may be one row or may be arranged in three or more rows in the radial direction of the sample turntable 2. .

  The sample turntable 2 is supported so as to be rotatable along the circumferential direction by a drive mechanism (not shown). The sample turntable 2 is rotated at a predetermined speed in a predetermined angular range in the circumferential direction by a driving mechanism (not shown). A dilution turntable 3 is arranged around the sample turntable 2.

  Like the sample turntable 2, the dilution turntable 3, the first reagent turntable 4, the second reagent turntable 5, and the reaction turntable 6 are formed in a substantially cylindrical container shape having one axial end opened. ing. The dilution turntable 3 and the reaction turntable 6 are rotated at a predetermined speed by a predetermined angular range in the circumferential direction by a drive mechanism (not shown). Note that the reaction turntable 6 is set so as to rotate, for example, more than a half turn in one movement.

  A plurality of dilution containers 23 are accommodated in the dilution turntable 3 side by side in the circumferential direction of the dilution turntable 3. The dilution container 23 accommodates a diluted specimen (hereinafter referred to as “diluted specimen”) that is aspirated from the specimen container 21 disposed on the sample turntable 2.

  In the first reagent turntable 4, a plurality of first reagent containers 24 are accommodated in the circumferential direction of the first reagent turntable 4. A plurality of second reagent containers 25 are accommodated in the second reagent turntable 5 side by side in the circumferential direction of the second reagent turntable 5. The first reagent container 24 stores the concentrated first reagent, and the second reagent container 25 stores the second reagent.

  Furthermore, the first reagent turntable 4, the first reagent container 24, the second reagent turntable 5, and the second reagent container 25 are kept at a predetermined temperature by a cold insulation mechanism (not shown). Therefore, the first reagent stored in the first reagent container 24 and the second reagent stored in the second reagent container 25 are kept cold at a predetermined temperature.

  The reaction turntable 6 is arranged between the dilution turntable 3, the first reagent turntable 4 and the second reagent turntable 5. A plurality of reaction vessels 26 are accommodated in the reaction turntable 6 side by side in the circumferential direction of the reaction turntable 6. The reaction container 26 includes a diluted sample sampled from the dilution container 23 of the dilution turntable 3, a first reagent sampled from the first reagent container 24 of the first reagent turntable 4, and a second reagent of the second reagent turntable 5. The sampled second reagent is injected from the reagent container 25. In the reaction container 26, the diluted specimen, the first reagent, and the second reagent are agitated to perform the reaction.

  The sample dilution pipette 7 is arranged around the sample turntable 2 and the dilution turntable 3. The sample dilution pipette 7 is supported by an unillustrated dilution pipette drive mechanism so as to be movable in the axial direction (for example, up and down direction) of the sample turntable 2 and the dilution turntable 3. The sample dilution pipette 7 is supported by a dilution pipette driving mechanism so as to be rotatable along a horizontal direction substantially parallel to the openings of the sample turntable 2 and the dilution turntable 3. The sample dilution pipette 7 reciprocates between the sample turntable 2 and the dilution turntable 3 by rotating along the horizontal direction. When the sample dilution pipette 7 moves between the sample turntable 2 and the dilution turntable 3, the sample dilution pipette 7 passes through a cleaning device (not shown).

Here, the operation of the sample dilution pipette 7 will be described.
When the sample dilution pipette 7 moves to a predetermined position above the opening in the sample turntable 2, the sample dilution pipette 7 descends along the axial direction of the sample turntable 2, and the pipette provided at the tip thereof is moved to the specimen container 21. Insert inside. At this time, the sample dilution pipette 7 operates a sample pump (not shown) to suck a predetermined amount of the sample stored in the sample container 21. Next, the sample dilution pipette 7 rises along the axial direction of the sample turntable 2 and extracts the pipette from the specimen container 21. Then, the sample dilution pipette 7 rotates along the horizontal direction and moves to a predetermined position above the opening in the dilution turntable 3.

  Next, the sample dilution pipette 7 descends along the axial direction of the dilution turntable 3 and inserts the pipette into a predetermined dilution container 23. Then, the sample dilution pipette 7 discharges the aspirated specimen and a predetermined amount of diluent (for example, physiological saline) supplied from the sample dilution pipette 7 itself into the dilution container 23. As a result, the specimen is diluted to a predetermined multiple concentration in the dilution container 23. Thereafter, the sample dilution pipette 7 is washed by a washing device.

  The sampling pipette 8 is arranged between the dilution turntable 3 and the reaction turntable 6. The sampling pipette 8 is supported by a sampling pipette drive mechanism (not shown) so as to be movable and rotatable in the axial direction (vertical direction) and the horizontal direction of the dilution turntable 3, similarly to the sample dilution pipette 7. The sampling pipette 8 reciprocates between the dilution turntable 3 and the reaction turntable 6.

  The sampling pipette 8 inserts a pipette into the dilution container 23 of the dilution turntable 3 and sucks a predetermined amount of diluted specimen. Then, the sampling pipette 8 discharges the sucked diluted specimen into the reaction container 26 of the reaction turntable 6.

  The first reagent pipette 12 is disposed between the reaction turntable 6 and the first reagent turntable 4, and the second reagent pipette 13 is disposed between the reaction turntable 6 and the second reagent turntable 5. The first reagent pipette 12 is supported by an unillustrated first reagent pipette drive mechanism so as to be movable and rotatable in the axial direction (vertical direction) and horizontal direction of the reaction turntable 6. The first reagent pipette 12 reciprocates between the first reagent turntable 4 and the reaction turntable 6.

  The first reagent pipette 12 inserts a pipette into the first reagent container 24 of the first reagent turntable 4 and aspirates a predetermined amount of the first reagent. Then, the first reagent pipette 12 discharges the sucked first reagent into the reaction container 26 of the reaction turntable 6.

  Further, the second reagent pipette 13 can be moved and rotated in the axial direction (vertical direction) and the horizontal direction of the reaction turntable 6 by a second reagent pipette drive mechanism (not shown), similarly to the first reagent pipette 12. It is supported. The second reagent pipette 13 reciprocates between the second reagent turntable 5 and the reaction turntable 6.

  The second reagent pipette 13 inserts a pipette into the second reagent container 25 of the second reagent turntable 5 and sucks a predetermined amount of the second reagent. Then, the second reagent pipette 13 discharges the sucked second reagent into the reaction container 26 of the reaction turntable 6.

  The dilution stirring device 9 and the dilution cleaning device 11 are arranged around the dilution turntable 3. The dilution stirrer 9 inserts a stirring bar (not shown) into the dilution container 23 and stirs the specimen and the diluted solution.

  The dilution cleaning device 11 is a device for cleaning the dilution container 23 after the diluted specimen is aspirated by the sampling pipette 8. The dilution cleaning device 11 has a plurality of dilution container cleaning nozzles. The plurality of dilution container cleaning nozzles are connected to a waste liquid pump (not shown) and a detergent pump (not shown). The dilution cleaning device 11 inserts a dilution container cleaning nozzle into the dilution container 23 and drives the waste liquid pump to suck in the diluted specimen remaining in the dilution container 23 by the inserted dilution container cleaning nozzle. Then, the dilution cleaning device 11 discharges the sucked diluted specimen to a waste liquid tank (not shown).

  Thereafter, the dilution cleaning device 11 supplies the detergent from the detergent pump to the dilution container cleaning nozzle, and discharges the detergent into the dilution container 23 from the dilution container cleaning nozzle. The inside of the dilution container 23 is washed with this detergent. Thereafter, the dilution cleaning device 11 sucks the detergent through the dilution container cleaning nozzle and dries the inside of the dilution container 23.

  The first reaction stirring device 14, the second reaction stirring device 15, and the reaction vessel cleaning device 18 are arranged around the reaction turntable 6. The first reaction stirrer 14 inserts a stirring bar (not shown) into the reaction vessel 26 and stirs the diluted specimen and the first reagent. As a result, the reaction between the diluted specimen and the first reagent is performed uniformly and rapidly. In addition, since the structure of the 1st reaction stirring apparatus 14 is the same as the dilution stirring apparatus 9, the description is abbreviate | omitted here.

  The second reaction stirrer 15 inserts a stirring bar (not shown) into the reaction vessel 26 and stirs the diluted specimen, the first reagent, and the second reagent. As a result, the reaction between the diluted specimen, the first reagent, and the second reagent is performed uniformly and rapidly. In addition, since the structure of the 2nd reaction stirring apparatus 15 is the same as the dilution stirring apparatus 9, the description is abbreviate | omitted here.

  The reaction vessel cleaning device 18 is a device for cleaning the inside of the reaction vessel 26 that has been inspected. The reaction container cleaning device 18 has a plurality of reaction container cleaning nozzles. The plurality of reaction container cleaning nozzles are connected to a waste liquid pump (not shown) and a detergent pump (not shown), similarly to the dilution container cleaning nozzle. In addition, since the washing | cleaning process in the reaction container washing | cleaning apparatus 18 is the same as that of the dilution washing | cleaning apparatus 11 mentioned above, the description is abbreviate | omitted.

  The multiwavelength photometer 16 is disposed so as to face the outer wall of the reaction turntable 6 around the reaction turntable 6. The multi-wavelength photometer 16 is optically measured on diluted specimens (including standard specimens) that have been injected into the reaction container 26 and reacted with the first chemical liquid and the second chemical liquid, and various components in the specimen. The measurement result with the amount of the sample as numerical data called “absorbance” is output, and the reaction state of the diluted specimen is detected. A computer 30 is connected to the multiwavelength photometer 16.

  Furthermore, a constant temperature bath 17 is disposed around the reaction turntable 6. The thermostatic chamber 17 is configured to always keep the temperature of the reaction vessel 26 provided on the reaction turntable 6 constant.

[Example of computer configuration]
Next, a configuration example of the computer 30 will be described.
FIG. 2 is a block diagram illustrating an internal configuration example of the computer 30.
The computer 30 includes a control unit 31, a recording unit 32, an output unit 33, an input unit 34, and an interface unit 35 connected to the bus 36.

  The control unit 31 is configured by a CPU (Central Processing Unit) or the like, and controls the operation of each unit in the biochemical analyzer 1. The control unit 31 includes a concentration calculation unit 31a, an abnormal value determination unit 31b, a healthy value determination unit 31c, a continuous measurement value abnormality determination unit 31d, and an alarm unit 31e. The control unit 31 measures the measurement target component of the sample stored in the sample container 21 by the measurement mechanism 1 </ b> A according to the apparatus abnormality determination instruction input from the input unit 34, and outputs the measurement result to the computer 30.

  The concentration calculation unit 31a calculates the concentration of the measurement target component (measurement item) included in the sample based on the measurement result (measurement value) of the sample output from the measurement mechanism 1A. That is, the concentration calculation unit 31a acquires the absorbance of the sample (reaction vessel 26) from the multiwavelength photometer 16 of the measurement mechanism 1A, and converts the absorbance into a concentration using a calibration curve. Then, the concentration calculation unit 31a records the calculated concentration in the recording unit 32 for each specimen (for each measurement point). The density calculation unit 31a may have a function of correcting the calculated density under a certain condition, and the corrected density may be recorded in the recording unit 32.

  The abnormal value determination unit 31b determines whether or not the measured value (concentration) of each sample recorded in the recording unit 32 is an abnormal value, and records the determination result in the recording unit 32. The abnormal value determination unit 31b determines that the concentration is an abnormal value when the concentration is clearly an abnormal value.

  The healthy value determination unit 31 c determines whether or not the measured value (concentration) of each specimen recorded in the recording unit 32 is a healthy value, and records the determination result in the recording unit 32. For example, when the concentration is not abnormal but is a value requiring attention, the healthy value determination unit 31c determines that the concentration is a healthy value.

  The continuous measurement value abnormality determining unit 31d determines whether or not the biochemical analyzer 1 is abnormal (apparatus abnormality) from the measurement results of a plurality of samples measured continuously. The continuous measurement value abnormality determination unit 31d refers to a determination value setting table (an example of a setting table) in which a predetermined condition and a predetermined number of times described later are stored, and the measurement value of each specimen output from the measurement mechanism 1A and the measurement value Compare with predetermined conditions. The continuous measurement value abnormality determination unit 31d compares, for example, the measurement value (concentration) of each specimen recorded in the recording unit 32 or a numerical value (for example, moving average value) calculated based on the measurement value with a predetermined condition. Then, the continuous measurement value abnormality determination unit 31d determines that there is an abnormality (such as an apparatus abnormality) when the measurement values of each sample continuously match a predetermined condition a predetermined number of times. The continuous measurement value abnormality determination unit 31d adds a device abnormality flag (an example of information indicating abnormality) to measurement data including the measurement value of the sample determined to be abnormal. Details of the determination value setting table will be described later.

  The alarm unit 31e displays a warning message (alarm information) on the output unit 33 in order to notify the measurement target component (measurement item) of the sample that is determined to be abnormal by the continuous measurement value abnormality determination unit 31d. In addition, the alarm unit 31e may display the sample (measurement point) itself determined to be abnormal by the continuous measurement value abnormality determination unit 31d on the output unit 33 as a warning message.

  The recording unit 32 is configured by a large-capacity recording device such as an HDD (Hard disk drive). The recording unit 32 records the concentration of the measurement item of each specimen calculated by the concentration calculation unit 31a or a numerical value calculated based on the concentration. The recording unit 32 also records the program of the control unit 31, parameters, determination results of abnormalities (such as device abnormalities), input operations performed by the input unit 34, and the like.

  The output unit 33 displays the measurement result of the sample and a warning message output from the alarm unit 31e. As the output unit 33, for example, a liquid crystal display device or the like is used.

  The input unit 34 receives an operation input to the biochemical analyzer 1 performed by the user and outputs an input signal to the control unit 31. For the input unit 34, for example, a mouse, a keyboard, a touch panel, or the like is used.

  When the measurement result of the absorbance of the reaction container 26 measured by the multiwavelength photometer 16 is input, the interface unit 35 passes the measurement result to the control unit 31. FIG. 2 shows an example in which only the multi-wavelength photometer 16 is connected to the interface unit 35, but each unit in the biochemical analyzer 1 is also connected to the interface unit 35 in the same manner and controlled by the computer 30. Done.

[Operation of biochemical analyzer]
Next, operation | movement of the control part 31 of the biochemical analyzer 1 is demonstrated with reference to FIG. FIG. 3 is a flowchart showing the determination process of continuous measurement data.
As shown in FIG. 3, the concentration calculation unit 31a of the control unit 31 acquires the absorbance of the measurement target component of the specimen as measurement data from the multi-wavelength photometer 16 of the measurement mechanism 1A (step S1).

  Next, the concentration calculation unit 31a calculates the concentration of the component to be measured of the specimen that is continuously measured based on the acquired absorbance (step S2). The density calculation unit 31 a records the calculated density in the recording unit 32.

  Next, the density calculation unit 31a corrects the calculated density under certain conditions (step S3). For example, when the deviation amount of the calibration curve is known, the concentration calculation unit 31a corrects the calculated concentration by the deviation amount. Note that the correction processing in step S3 may be omitted if density correction is not necessary.

  Next, the abnormal value determination unit 31b determines whether or not the concentration of each sample recorded in the recording unit 32 is an abnormal value (step S4). The abnormal value determination unit 31 b records the determination result in the recording unit 32.

  Next, the healthy value determination unit 31c determines whether or not the concentration of each specimen recorded in the recording unit 32 is a healthy value (step S5). The healthy value determination unit 31 c records the determination result in the recording unit 32.

  Next, the continuous measurement value abnormality determination unit 31d compares the measurement result of the sample measured continuously with a predetermined condition, and how many times the measurement value of the measurement item of each sample matches the predetermined condition. It is determined whether it has occurred (step S6).

  Next, the continuous measurement value abnormality determination unit 31d compares the predetermined number of times with the measurement value of the measurement item of each sample that matches the predetermined condition after executing the determination process of step S6, and the continuous measurement value is abnormal. It is determined whether or not there is (step S7). When there is no abnormality in the continuous measurement values (NO in step S7), the continuous measurement value abnormality determination unit 31d ends the series of processes in FIG. 3 (step S8). Hereinafter, an abnormality existing in continuous measurement values is referred to as “abnormality of continuous measurement values”.

  On the other hand, if there is an abnormality in the continuous measurement value (YES in step S7), the alarm unit 31e determines that the apparatus is abnormal and gives a warning (step S9).

When it is determined that the continuous measurement value is abnormal, the control unit 31 performs the following processing.
(A) The alarm unit 31e issues a warning. For example, a warning message such as device abnormality or reagent failure is displayed on the output unit 33 (a mark or the like is not added to the determination result).
(B) The alarm unit 31e displays a warning message on the output unit 33, and adds a mark (for example, “*”) to the corresponding part of the analysis result.
(C) A warning is given periodically unless the user resolves the warning content.
(D) Disable the selection of the item for which the warning has occurred and do not analyze the item.
(E) When a warning occurs, dispensing of a new sample is stopped, and the biochemical analyzer 1 shifts to a stop mode.

  As described above, the continuous measurement value abnormality determination unit 31d compares the measurement value of the measurement item of each sample with a predetermined condition, and the measurement value of the measurement item of each sample matches the predetermined condition a predetermined number of times. If it is continuous, it is determined that the continuous measurement value is abnormal. If the cause of the abnormality in the measured value is an abnormality in the sample itself, the abnormality in the measured value is a single occurrence, but if the apparatus is abnormal or the reagent is defective, higher or lower measured values may be detected continuously. Therefore, when abnormal measurement values occur continuously, it is considered that there is a high possibility of an apparatus abnormality or a reagent failure. Therefore, the abnormality determination method using the continuous measurement values described in the flowchart is effective for detecting an apparatus abnormality or a reagent failure.

  Note that the condition (threshold value) used for the abnormal value determination in step S4 may be the same as or different from the condition (threshold value) used for the abnormality determination of the continuous measurement values in steps S5 and S6. Hereinafter, a specific example of the abnormality determination method using continuous measurement values will be described with reference to FIGS. 4 and 5.

[Example of judgment value setting table and measurement results]
FIG. 4 is a diagram for explaining determination of abnormality of continuous measurement values according to the first embodiment. 4A is a diagram illustrating an example of a determination value setting table, and FIG. 4B is a diagram illustrating an example of a measurement result.

  4A includes a “high value” field, a “low value” field, and a “continuous number of times” field. The “high value” is an upper limit threshold value (an example of a predetermined condition) of the measurement item of the specimen. The “low value” is a lower limit threshold (an example of a predetermined condition) of the concentration of the measurement item of the specimen. The “continuous number of times” is the number of times that the continuous measurement value abnormality determining unit 31d determines that there is an abnormality in the continuous measurement value when the concentrations of the measurement items of a plurality of specimens are continuously higher than the upper threshold or lower than the lower threshold. It is a threshold value. In the determination value setting table 40, as an example, the high value of the density of the item A is set to 100, the low value is set to 10, and the continuous count is set to 3. Further, the high value of the density of item B is set to 35, the low value is set to 20, and the number of consecutive times is set to 5. Further, the high value of the density of item C is set to 7, the low value is set to 3, and the number of consecutive times is set to 5.

  In the measurement result 41 shown in FIG. 4B, the measurement item A was measured for Sample 1 to Sample 3 and Sample 6 to Sample 8. The measured concentration of the measurement item A of each sample corresponds to the high value “100” or more shown in FIG. That is, it is determined that the measurement item A is abnormal in the continuous measurement value in the sample 6.

  In addition, measurement item B was measured for Sample 1 to Sample 8. The measured concentration of the measurement item B of each sample corresponds to “20” or less shown in FIG. That is, the measurement item B is determined to be an abnormality in the continuous measurement value in the sample 8.

  Measurement item C was measured for Sample 1 to Sample 4 and Sample 6 to Sample 8. The concentration of the measurement item C was continuously high from Sample 1 to Sample 6, but was not determined as an abnormality in the continuous measurement value because it was a value between the high value and the low value in Sample 7.

  In the first embodiment described above, the continuous measurement value abnormality determination unit 31d compares the measurement value (concentration) of the measurement item of the continuous specimen with the predetermined condition (high value, low value), It is determined whether or not the concentration of the measurement item is continuously higher than the lower value or lower than the lower value a predetermined number of times. Then, it is determined that the continuous measurement value is abnormal when the concentration of the measurement item of each sample is higher than or lower than the low value for a predetermined number of times.

  Therefore, according to the first embodiment, it is possible to determine an abnormality in the continuous measurement value, that is, an apparatus abnormality or the like when the concentration of the measurement items of the continuous specimen is a high or low value. As a result, an apparatus abnormality or the like can be detected at an early stage, and erroneous measurement by the biochemical analyzer 1 in an abnormal state can be prevented. In addition, since the first embodiment determines the presence / absence of an abnormality from continuous measurement values, a specific measurement value in an individual sample other than a healthy person is not immediately determined to be abnormal, and the measurement value of an individual sample It is possible to distinguish between abnormalities and device abnormalities.

<2. Second Embodiment>
In the second embodiment, an allowable range from a predetermined value within the healthy range is used as the predetermined condition. For example, a standard deviation (SD) from an average value is used as the allowable width. That is, an average value, a standard deviation from the average value, and a predetermined number of times are stored in a determination value setting table (not shown).

As a determination method using the standard deviation according to the present embodiment, there are the following methods.
(A) As a first determination method, the continuous measurement value abnormality determination unit 31d determines that there is an abnormality in the continuous measurement value when the measurement value separated by ± 3SD or more from the set average value continues for a predetermined number of times. In this case, + 3SD corresponds to the upper threshold in the first embodiment, and −3SD corresponds to the lower threshold in the first embodiment.
(B) As a second determination method, the continuous measurement value abnormality determination unit 31d determines that there is an abnormality in the continuous measurement value when the measurement value separated by ± 2SD or more from the set average value continues for a predetermined number of times.
(C) As another method, the continuous measurement value abnormality determination unit 31d first extracts a measurement value that is more than ± 2SD from the average value, and then is more than ± 3SD from the average value among the extracted measurement values. When the measurement value continues for a predetermined number of times, it may be determined that the continuous measurement value is abnormal. In such a case, the measured value is first roughly shaken using ± 2SD as a predetermined condition, and then the presence or absence of abnormality of the continuous measured value can be determined in detail using ± 3SD.

  According to the second embodiment described above, the standard deviation is used as the predetermined condition, and the measurement value (concentration) of the measurement items of the consecutive specimens is compared with the predetermined condition (standard deviation). Therefore, in the second embodiment, as in the first embodiment, the abnormality in the continuous measurement value when the concentration of the measurement item of the continuous specimen is high or low, that is, the device abnormality is detected. Can be determined.

<3. Third Embodiment>
In the third embodiment, the moving average of the concentration of the measurement item of the measured specimen is used as the predetermined condition. The moving average is an average of a plurality of latest concentrations.

[Example of judgment value setting table and measurement results]
FIG. 5 is a diagram for explaining determination of abnormality of continuous measurement values according to the third embodiment. 5A is a diagram illustrating another example of the determination value setting table, and FIG. 5B is a diagram illustrating another example of the measurement result.

  The determination value setting table 50 in FIG. 5A includes a “high value” field, a “low value” field, a “designated sample number” field, and a “continuous number of times” field. The “high value”, “low value”, and “number of consecutive times” are the same as those in FIG. 4A. The “designated number of samples” is the number of samples used for calculating the moving average value, that is, the number of measured values. In the determination value setting table 50, for example, the high value of the concentration of the item A is set to 100, the low value is set to 10, the number of designated samples is set to 5, and the number of consecutive times is set to 3.

As a determination method using the moving average according to the present embodiment, there are the following methods.
(B) Calculate the moving average value of the concentration of the measurement item of the specified number of samples closest to the continuously measured sample, and if the moving average value is greater than or equal to the set high or low value, Judge that the measured value is abnormal.
(B) When the moving average value of the concentration of the measurement item of the specified number of samples closest to the consecutively measured sample is calculated, and the moving average value that is greater than or equal to the set high value or less than the set value continues for a predetermined number of times In addition, it is determined that the continuous measurement value is abnormal.

  In the measurement result 51 shown in FIG. 5B, the measurement item A was measured on the samples 1 to 10. Since the designated number of samples is 5, the moving average value is calculated using the most recent concentrations of Sample 1 to Sample 5 after measuring Sample 5. Similarly, the moving average value is calculated using the concentrations of the measurement items A of the five latest samples in the samples 6 to 10.

In the case of the method (a) above, since the five moving average values of the measurement item A in the sample 6 and the sample 7 that are immediately above the high value are continuous twice, the measurement items of the sample 6 and the sample 7 The concentration of A is determined as an abnormality in the continuous measurement value.
In the method (b) above, the five moving average values in the sample 9 that are the closest to the measurement item A are single and high or higher, but the concentration of the measurement item A in the sample 9 is determined to be abnormal in the continuous measurement value. The

  In the third embodiment described above, the continuous measurement value abnormality determination unit 31d compares the moving average value of the measurement values (concentration) of the measurement items of the continuous specimen with the predetermined condition (high value, low value). Then, it is determined whether or not the moving average value of the concentration of the measurement item of each specimen is continuously higher than the lower value or lower than the lower value for a predetermined number of times. Then, when the moving average value of the concentration of the measurement item of each specimen is a high value or a low value or less continuously for a predetermined number of times, it is determined that the continuous measurement value is abnormal.

  Therefore, in the third embodiment, as in the first embodiment, when the moving average value of the concentration of the measurement items of the continuous specimen is a higher or lower value, the abnormality of the continuous measurement value, That is, an apparatus abnormality can be determined. Further, in addition to the effects of the first embodiment, the third embodiment uses the moving average value of the concentration of the measurement item of the most recent designated sample number, so that the measurement item of the most recent designated sample number Since changes in concentration are reflected, it is possible to cope with changes in parts in the apparatus and differences in reagent lots.

<4. Judgment value setting example>
[Example of judgment value setting text]
FIG. 6 is an example of the determination value setting text.
The determination value setting text 60 shown in FIG. 6 includes, for example, “item No.”, “sample type A-Low value”, “sample type A-High value”, “sample type A consecutive number”, and “sample type B-”. “Low value”, “Sample type B-High value”, and “Sample type B consecutive number” can be set. By inputting a determination item and a determination value in the determination value setting text 60, a determination value setting table as shown in FIG. 4A is created. That is, by directly inputting the determination value setting text 60 displayed on the output unit 33, as shown in FIG. 4A, the items, the high and low threshold values of the sample type A, the number of consecutive samples of the sample type A (predetermined number of times) ), Threshold values for high and low values of specimen type B, and the number of consecutive specimens (predetermined number of times) of specimen type B are set. The continuous measurement value abnormality determination unit 31 d performs determination based on the content input to the determination value setting text 60.

  As described above, by using the determination value setting text 60, it is possible to easily specify a determination value of an arbitrary item for each specimen type without preparing a special setting screen. The sample type A and the sample type B may be the same setting.

[Example of judgment value setting screen]
FIG. 7 is an example of a determination value setting screen.
The user can use the determination value setting screen 70 to set, for example, the low value, high value, and number of consecutive samples of serum, and the low value, high value, and number of samples of urine for each of the item names A to C. it can. For example, the serum in the determination value setting screen 70 corresponds to the sample type A in the determination value setting text 60 shown in FIG. 6, and the urine in the determination value setting screen 70 corresponds to the sample type B in the determination value setting text 60. Correspond. On the determination value setting screen 70, numerical value input fields are displayed only for the item names A to C, and the user can input numerical values by operating the input unit 34. The control unit 31 creates a determination value setting table as shown in FIG. 4A based on the contents input to the determination value setting screen 70 and records the determination value setting table in the recording unit 32. In the judgment value setting screen 70, the default value of each input field is set to “0”. The continuous measurement value abnormality determination unit 31d does not perform determination when both the high value and the low value of the determination value setting screen 70 are “0” or the number of continuous samples is “0”.

  Note that a parameter for setting how many samples are generated when the measured value is higher than the set high value or lower than the set low value is generated, and the parameter is set to the determination value setting text 60 or the determination value setting screen 70. You may enable it to input using.

<5. Fourth Embodiment>
In the fourth embodiment, determination processing for two types of patient specimens is performed.
When measuring patient samples of multiple conditions (for example, sex / age, etc.) at the same time, by setting a range corresponding to the conditions in advance, a plurality of patient samples mixed using the set range It is possible to correctly determine abnormalities in measurement data. In addition, since the average value of the measurement value of the measurement item of the sample of each patient type (for example, sex / age) is not fixed but varies depending on conditions such as the reagent lot, the moving average value is used to set the center value.

  FIG. 8 shows the measurement results of the measurement items of two types of patient specimens, and shows the relationship between measurement points and measurement values. Patient A is male and patient B is female. The measurement item is, for example, γ-GTP. FIG. 8 shows six consecutive measurement points at which the patient B type specimen was measured, and then seven consecutive measurement points at which the patient A type specimen was measured. The specimen measurement normal range 80 (between the low value L and the high value H) includes the measurement values of most measurement points of the patient A type and the patient B type.

  The measurement values of most measurement points of the patient A type are included in the normal data range 81m of the patient A type, but there is a measurement value (abnormal value) deviating from the normal data range 81m by one point. The normal data range 81m of the patient A type is a range of 3σ (σ: standard deviation) with the moving average value 82m of the measurement values of the latest designated number of specimens as the center value. The upper boundary indicated by the one-dot chain line of the normal data range 81m of the patient A type corresponds to the high threshold value (upper limit threshold value) of the patient A type, and the lower boundary indicated by the short dashed line indicates the low threshold value of the patient A type ( Corresponds to the lower threshold).

  Similarly, the measurement values at most measurement points of the patient B type are included in the normal data range 81f of the patient B type, but there is a measurement value (abnormal value) deviating from the normal data range 81f by one point. The normal data range 81f of the patient B type is a range of 3σ (σ: standard deviation) centered on the moving average value 82f of the measured values of the most recent specified number of specimens. The upper boundary indicated by a short dashed line in the normal data range 81f of the patient B type is the high threshold value (upper limit threshold) of the patient B type, and the lower boundary indicated by the alternate long and short dash line is the low threshold value (lower limit) of the patient B type Threshold).

FIG. 9 is a flowchart showing determination processing for two types of patient specimens.
First, when the determination process is started, the control unit 31 (FIG. 2) generates a determination value setting table (not shown) in which the determination conditions for the patient A type are stored according to the user's input operation, and the recording unit 32. (Step S11). For example, a table having a form as shown in FIG. 4A is created as a determination value setting table storing determination conditions for the patient A type.

  Further, the control unit 31 generates a determination value setting table (not shown) storing the determination conditions for the patient B type according to the user's input operation, and saves it in the recording unit 32 (step S12). For example, a table having a form as shown in FIG. 4A is created as a determination value setting table storing determination types for patient B.

  Next, the control unit 31 starts measuring a plurality of specimens in which the patient A type and the patient B type are mixed (step S13). The specimen stored in the specimen container 21 is associated with the patient name and type in advance. That is, it is possible to identify whether the sample stored in the sample container 21 is the patient A type or the patient B type. Information indicating the correspondence between the sample and the patient is recorded as sample information in the recording unit 32, for example.

  Next, each block in the control unit 31 acquires measurement data (step S14), concentration calculation (step S15), abnormal value determination (step S16), and normal values for both patient A type and patient B type. Determination (step S17) is performed. The processes in steps S14 to S17 correspond to the processes in steps S1, S2, S4, and S5 in FIG. Note that the density correction processing in step S3 in FIG. 3 may be added after the density calculation in step S15.

  Next, the continuous measurement value abnormality determination unit 31d determines whether or not the measurement values of the measurement items of the patient A type and the patient B type are within the normal data range (step S18). The continuous measurement value abnormality determination unit 31d refers to the determination value setting table created in step S11 and determines whether or not the measurement value of the patient A type is within the normal data range 81m. The continuous measurement value abnormality determination unit 31d determines whether or not the measurement value of the patient B type is within the normal data range 81f with reference to the determination value setting table created in Step S12. The process in step S18 corresponds to steps S5 and S6 in FIG.

  When the measurement values of the measurement items of patient A type and patient B type are within the respective normal data ranges in the determination process of step S18 (YES in step S18), the continuous measurement value abnormality determination unit 31d performs normal measurement. Is completed (step S19).

  On the other hand, when the measurement values of the measurement items of the patient A type and the patient B type are not within the normal data ranges in the determination process of step S18 (NO in step S18), the continuous measurement value abnormality determination unit 31d performs the continuous measurement. It is determined that the value is abnormal, that is, the device is abnormal (step S20). When the alarm unit 31e determines that an apparatus abnormality or the like has occurred, the alarm unit 31e displays, for example, a warning message on the output unit 33.

  In the above-described fourth embodiment, the determination condition (determination value setting table) is set for each of the two types of patient specimens, and the determination process is performed using the respective determination conditions for the two types of patient specimens that are mixed. Do. For example, the measurement value of a specific measurement item differs greatly between the sample of a healthy person (patient A type) and the sample of a patient (patient B type) who has conditions such as medication, but the determination conditions suitable for each sample are different. By using it, specimens under different conditions can be measured.

  In the example of FIG. 8, the normal data ranges 81m and 81f of the patient A type and the patient B type are used with the moving average value (FIG. 5A) according to the third embodiment and the standard deviation according to the second embodiment. However, the present invention is not limited to this example. For example, the normal data ranges of the patient A type and the patient B type may be set by using the standard deviation according to the second embodiment and the moving average value according to the third embodiment alone. .

  In the example shown in FIG. 9, the determination process for two types of patient samples is performed, but the determination process for three or more types of patient samples may be performed according to three or more determination conditions.

<6. Fifth embodiment>
FIG. 10 is a flowchart showing a determination process for two types of patient specimens with patient type classification.
The processing in steps S31 to S39 and S42 shown in FIG. 10 corresponds to the processing in steps S11 to S20 in FIG. After the process of step S39 is completed, the control unit 31 obtains the measurement data (results of each determination, etc.) of a plurality of samples in which the patient A type and the patient B type are mixed based on the sample information of the measured sample. Each is classified (step S40).

  Next, the control unit 31 outputs measurement data to the classified patient types (step S41). The control unit 31 displays, for example, measurement data classified into patient types on the output unit 33 or records it in the recording unit 32.

  In the fifth embodiment described above, a determination condition (determination value setting table) is set for each of the two types of patient samples, and the determination process is performed using the respective determination conditions for the two types of patient samples that are mixed. Since this is done, the same effect as in the fourth embodiment can be obtained. In addition, since the measurement data is classified and output for each patient type, there is an effect that the user can easily confirm the measurement data for each patient type.

<7. Sixth Embodiment>
FIG. 11 is a flowchart showing a determination process for a sample whose patient type is unknown.
In the sixth embodiment, when a sample whose patient type is unknown is measured, the patient type of the sample is specified by applying different conditions to the measurement result.

  First, the control unit 31 starts measuring a sample whose patient type is unknown (step S51). Next, each block in the control unit 31 performs measurement data acquisition (step S52) and concentration calculation (step S53). The processes in steps S52 and S53 correspond to the processes in steps S14 and S15 in FIG.

  Next, the continuous measurement value abnormality determination unit 31d determines whether or not the measurement value of the measurement item of the sample whose patient type is unknown is within the sample measurement normal range (see FIG. 8) (step S54). Here, when the measurement value of the measurement item of the sample whose patient type is unknown is not within the normal range of the sample measurement (NO in step S54), the continuous measurement value abnormality determination unit 31d determines that the continuous measurement value is abnormal, that is, the apparatus is abnormal. (Step S60).

  Next, when the measurement value of the measurement item of the sample whose patient type is unknown is within the sample measurement normal range (YES in step S54), the continuous measurement value abnormality determination unit 31d determines the measurement item of the sample whose patient type is unknown. It is determined whether or not the measured value is within the determination condition (normal data range) for patient A (step S55). Here, when the measurement value of the measurement item of the sample whose patient type is unknown is within the normal data range of the patient A type (YES in step S55), the continuous measurement value abnormality determination unit 31d determines that the measurement value is the patient It is recognized as being of type A (step S56).

  Next, when the measurement value of the measurement item of the sample whose patient type is unknown is not within the normal data range of the patient A type (NO in step S55), the continuous measurement value abnormality determination unit 31d determines that the sample type of the sample whose patient type is unknown It is determined whether or not the measurement value of the measurement item is within the determination condition (normal data range) for patient B (step S57). Here, when the measurement value of the measurement item of the sample whose patient type is unknown is within the normal data range of patient B type (YES in step S57), the continuous measurement value abnormality determination unit 31d determines that the measurement value is the patient It is recognized as being of type B (step S58).

  If the measurement value of the measurement item of the sample whose patient type is unknown is not within the normal data range of the patient B type (NO in step S57), the continuous measurement value abnormality determination unit 31d determines that the continuous measurement value abnormality, It is determined that the apparatus is abnormal (step S59).

  In the above-described sixth embodiment, the determination process is performed by applying different determination conditions (normal data range) to the measurement result of the sample whose patient type is unknown, so that the patient type of the sample is determined based on the determination result. Can be identified and classified.

<8. Modification>
In addition to the biochemical analyzer 1, various analyzers such as an immune analyzer and a urine analyzer can be used as the automatic analyzer.

  In addition, for items such as Na, K, Cl, etc., where high values and low values (variation) are likely to occur continuously due to electrode abnormalities, it is preferable to add parameters so that customers can set arbitrary values. . In this case, the control unit 31 can manage the reagent accuracy and the determination result for each reagent lot.

  In addition, a parameter may be added that determines whether or not to use a function (continuous measurement value abnormality determination method) for determining whether a continuous measurement value is greater than or equal to a set high value or less than a low value. For example, this parameter can be set using a determination value setting text (FIG. 6) or a determination value setting screen (FIG. 7). When the variation in measured values is large, it is often determined that there is an abnormality in continuous measurement values. Therefore, it may be considered that the continuous measurement value abnormality determination method in each embodiment is not used.

  Further, in this specification, the processing steps describing time-series processing are not limited to processing performed in time series according to the described order, but are not necessarily performed in time series, either in parallel or individually. The processing (for example, parallel processing or object processing) is also included.

  The present invention is not limited to the above-described embodiments, and various other modifications and application examples can be taken without departing from the gist described in the claims. .

For example, the above-described embodiments are detailed and specific descriptions of the configuration of the apparatus and the system in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Absent. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Moreover, it is also possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

  DESCRIPTION OF SYMBOLS 1 ... Biochemical analyzer 1A ... Measurement mechanism 30 ... Computer, 31 ... Control part, 31a ... Concentration calculation part, 31d ... Continuous measurement value abnormality determination part, 31e ... Alarm part, 32 ... Recording part, 33 ... Output part 34 ... Input unit, 40 ... Determination value setting table, 41 ... Measurement result, 50 ... Determination value setting table, 51 ... Measurement result, 60 ... Determination value setting text, 70 ... Determination value setting screen, 80 ... Sample measurement normal range 81f ... Normal data range, 81m ... Normal data range, 82f ... Moving average value, 82m ... Moving average value, H ... High value, L ... Low value

Claims (7)

A measurement mechanism that continuously measures multiple specimens and outputs measurement values of the measurement items of each specimen;
A first abnormality data range and a predetermined number of times used for detecting an abnormality in the measurement item of the first type specimen , and a second abnormality data range and a predetermined number of times used for detection of an abnormality in the measurement item of the second type specimen. A settings table that stores
Each of the measurement value of the measurement item of the first type specimen output from the measurement mechanism and the measurement value of the measurement item of the second type specimen and the corresponding first value stored in the setting table . The abnormal data range or the second abnormal data range is compared, and the measured value of the first type specimen or the measured value of the second type specimen corresponds to the first abnormal data range or the second abnormal data range. A controller configured to determine that there is an abnormality when the abnormal data range continuously matches the predetermined number of times, and
Furthermore the setting table, the first and the normal data range as a first condition for use in determining the first type of sample, the first condition is different from the second to be used for determination of the second type of analyte Storing the second normal data range as a condition;
Wherein, when the type of the specimen is unknown, said analyte measured value match if the first condition is determined to be the first type of sample, the measured value is the second automatic analyzer specimen match if the condition is determined to be the second type of analyte. The measurement mechanism measures a plurality of samples in which the first type sample and the second type sample are mixed as the sample, and outputs a measurement value of a measurement item of each sample,
The control unit compares the measurement value of the first type of sample output from the measurement mechanism with the first abnormal data range when the type of each sample is identified in advance , and the measurement mechanism compared to the second abnormality data ranges the measurement value of the second type of analyte to be outputted from the measurement value of the measurement value or the second type of specimens of said first type of analyte corresponding the number that matches the first abnormality data range or the second abnormality data range, wherein the predetermined number of times the automatic analysis apparatus according to claim 1 determines that is abnormal when continuous. The setting table stores at least one of an upper threshold value and a lower threshold value with respect to the concentration of the measurement item of each sample as each of the first abnormal data range and the second abnormal data range ,
The controller is
Based on the measurement value output from the measurement mechanism, a concentration calculation unit that calculates the concentration of the measurement item of each sample measured continuously,
The concentration of the measurement item of each sample calculated by the concentration calculation unit is compared with the corresponding upper threshold or the lower threshold stored in the setting table, and the concentration of the measurement item of each sample is equal to or higher than the upper threshold or The automatic analyzer according to claim 1, further comprising: a continuous measurement value abnormality determining unit that determines that an abnormality occurs when the number of times equal to or less than the lower limit threshold continues for the predetermined number of times. The setting table is a threshold for the concentration of the measurement item of each specimen as each of the first abnormal data range and the second abnormal data range, and stores a value of an allowable width from a predetermined value within the healthy range. And
The controller is
Based on the measurement value output from the measurement mechanism, a concentration calculation unit that calculates the concentration of the measurement item of each sample measured continuously,
Based on the concentration of the measurement item of each sample calculated by the concentration calculation unit and the corresponding allowable width stored in the setting table, the concentration of the measurement item of each sample adds the allowable width to the predetermined value. The continuous measurement value abnormality determination unit that determines that the number of times that is greater than or equal to a value or less than a value obtained by subtracting the allowable width from the predetermined value is abnormal when the predetermined number of times continues is provided. Automatic analyzer. The setting table is calculated based on the concentration of the measurement item of each sample as each of the first abnormal data range and the second abnormal data range. Store at least one of the upper threshold value or the lower threshold value for
The controller is
Based on the measurement value output from the measurement mechanism, a concentration calculation unit that calculates the concentration of the measurement item of each sample measured continuously,
Based on the concentration of the measurement item of each sample calculated by the concentration calculation unit, a moving average value of the concentration of the nearest specified number of samples is calculated, and the moving average value and the corresponding stored in the setting table A continuous measurement value abnormality determination unit that compares an upper limit threshold value or the lower limit threshold value and determines that the moving average value is abnormal when the number of times that the moving average value is equal to or greater than the upper limit threshold value or less than the lower limit threshold value continues for the predetermined number of times; The automatic analyzer according to claim 1. An input unit that generates an input signal according to a user operation;
Output for displaying a setting screen for setting the first abnormal data range and the second abnormal data range stored in the setting table or the predetermined number of times based on the input signal generated by the input unit An automatic analyzer according to any one of claims 1 to 5. A measurement mechanism that continuously measures a plurality of specimens and outputs a measurement value of a measurement item of each specimen; a first abnormality data range and a predetermined number of times used to detect abnormality in the measurement item of the first type specimen ; And a setting table storing a second abnormal data range and a predetermined number of times used for detecting an abnormality for the measurement item of the second type specimen, and the measurement item of the first type specimen output from the measurement mechanism comparing the measured values and the second type of the respective said first abnormality data range or the second abnormal range of data corresponding the stored in the setting table of measured values of the measurement item of the specimen, the a If the measured value of the measured value or the second type of sample of the first type of analyte is met by the predetermined number of times consecutively in the first abnormality data range or the second abnormal data range corresponding abnormal It is determined so that there is A abnormality determination method for an automatic analyzer and a configured controlled unit,
Furthermore the setting table, the first and the normal data range as a first condition for use in determining the first type of sample, the first condition is different from the second to be used for determination of the second type of analyte Storing the second normal data range as a condition;
When the type of the specimen is unknown, the control unit compares the measurement value output from the measurement mechanism with the first condition and the second condition stored in the setting table, respectively. Processing to
By the control unit, said sample measured value match if the first condition is determined to be the first type of sample, the said sample measured value match if the second condition the second And a process for determining that the sample is a sample.

Images