Reporting method and terminal for blood transfusion adverse reaction
By obtaining historical case data and generating standardized collection tables, combining standard symptom information and judgment standards for main factors, the problem of cumbersome reporting process and incorrect judgment of blood transfusion adverse reactions is solved, and more efficient and accurate reporting and identification is achieved.
Patent Information
- Application Number
- CN202411945830.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-04-15
AI Technical Summary
In the prior art, the reporting method of adverse reactions to blood transfusion is complicated, and it is easy to cause misreport or delayed reporting, and the lack of professional knowledge of medical staff leads to incorrect judgments.
By obtaining historical case data on adverse reactions during blood transfusion, the main factors affecting the occurrence of each blood transfusion adverse reaction are determined, and a standardized blood transfusion adverse reaction collection table is generated. Based on the standard symptom information and main factors, the blood transfusion patient data is obtained through the collection table and compared with the judgment criteria, and the report is carried out.
It improves the reporting rate and recognition rate of adverse blood transfusion reactions, avoids recording errors caused by paper reporting, ensures the accuracy and consistency of data, and accelerates the speed of data collection and processing.
Smart Images
Figure CN119833120A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical management technology, and in particular to a reporting method and terminal for adverse blood transfusion reactions. Background Art
[0002] The blood safety monitoring (haemodynamics, HV) system covers all aspects including collection, testing, preparation, inventory management, storage and distribution, clinical transfusion, etc. As one of the important contents of HV, transfusion reaction (TR) refers to symptoms or signs that are temporally related to transfusion. Therefore, accurate and standardized collection, investigation, identification, analysis and reporting of adverse transfusion reactions, regular audits and data analysis are the key to continuously improving blood safety practices.
[0003] At present, adverse reactions to blood transfusion are usually reported on paper and then manually entered into the computer to form the corresponding data. This reporting method is cumbersome and often leads to problems of underreporting or delayed reporting. In addition, for some medical staff who have not received professional training in blood transfusion knowledge, they are unable to associate some uncommon symptoms of adverse reactions to blood transfusion with adverse reactions, resulting in the problem that when adverse reactions to blood transfusion occur, related examinations are easily missed or not performed, and the type of adverse reaction cannot be accurately determined. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a method and a terminal for reporting adverse transfusion reactions, which can standardize the reporting method of adverse transfusion reactions and improve the reporting rate and recognition rate of adverse transfusion reactions.
[0005] In order to solve the above technical problems, a technical solution adopted by the present invention is: A method for reporting adverse reactions to blood transfusion, comprising: Obtain historical case data on adverse reactions during blood transfusion; Determine the main factors affecting the occurrence of each adverse transfusion reaction based on the historical case data; Generate a blood transfusion adverse reaction collection table according to the standard symptom information corresponding to each blood transfusion adverse reaction and the main factors, and determine the judgment standard of each blood transfusion adverse reaction; Acquiring transfusion patient data through the transfusion adverse reaction collection form; The blood transfusion patient data is compared with the judgment standard, and the blood transfusion patient data is reported and processed according to the comparison result.
[0006] In order to solve the above technical problems, another technical solution adopted by the present invention is: A reporting terminal for adverse transfusion reactions comprises a memory, a processor and a computer program stored in the memory and running on the processor. When the processor executes the computer program, each step of the above-mentioned method for reporting adverse transfusion reactions is implemented.
[0007] The beneficial effects of the present invention are as follows: first, the main factors that may affect the occurrence of adverse transfusion reactions are determined according to the historical case data of adverse reactions during transfusion. Then, a transfusion adverse reaction collection table is generated according to the standard symptom information and main factors corresponding to each adverse transfusion reaction, and the judgment criteria are determined based on the standard symptom information and main factors. Finally, the transfusion patient data is obtained through the transfusion adverse reaction collection table, and the transfusion patient data is compared with the judgment criteria to determine whether to report the transfusion patient data. The present invention obtains transfusion patient data based on a standardized transfusion adverse reaction collection table, avoids recording errors caused by paper filling due to negligence in input or differences in understanding, ensures the accuracy and consistency of data records, and uses an electronic information collection table to collect and upload data in real time, accelerates the speed of data collection and processing, and avoids the problem of underreporting or delayed reporting. At the same time, based on the judgment criteria, the transfusion patient data can be directly compared for reporting, assisting medical staff in making judgments and automatically screening the collection table, avoiding medical staff from making wrong judgments due to lack of professional knowledge, thereby improving the reporting rate and recognition rate of adverse transfusion reactions. BRIEF DESCRIPTION OF THE DRAWINGS
[0008] Figure 1 A flowchart of a method for reporting adverse reactions to blood transfusion provided by an embodiment of the present invention; Figure 2 A word cloud diagram of the probability of occurrence of adverse reactions to blood transfusion provided by an embodiment of the present invention; Figure 3 A Sankey diagram showing the effects of different blood components on the occurrence of adverse transfusion reactions provided by an embodiment of the present invention; Figure 4 A schematic diagram of an information check box provided by an embodiment of the present invention; Figure 5 A schematic diagram of a category discrimination standard provided by an embodiment of the present invention; Figure 6 A schematic diagram of a blood transfusion adverse reaction report provided by an embodiment of the present invention; Figure 7 A schematic diagram of the structure of a reporting terminal for adverse reactions to blood transfusion provided by an embodiment of the present invention; Description of labels: 100. A terminal for reporting adverse reactions to blood transfusion; 101. Memory; 102. Processor. DETAILED DESCRIPTION
[0009] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.
[0010] An embodiment of the present invention provides a method for reporting adverse reactions to blood transfusion, comprising: Obtain historical case data on adverse reactions during blood transfusion; Determine the main factors affecting the occurrence of each adverse transfusion reaction based on the historical case data; Generate a collection table of adverse transfusion reactions according to the standard symptom information corresponding to each adverse transfusion reaction and the main factors, and determine the judgment criteria for each adverse transfusion reaction; Acquiring transfusion patient data through the transfusion adverse reaction collection form; The blood transfusion patient data is compared with the judgment standard, and the blood transfusion patient data is reported and processed according to the comparison result.
[0011] As can be seen from the above description, the beneficial effects of the present invention are: first, the main factors that may affect the occurrence of adverse transfusion reactions are determined based on the historical case data of adverse reactions during transfusion. Then, a transfusion adverse reaction collection table is generated according to the standard symptom information and main factors corresponding to each adverse transfusion reaction, and the judgment criteria are determined based on the standard symptom information and main factors. Finally, the transfusion patient data is obtained through the transfusion adverse reaction collection table, and the transfusion patient data is compared with the judgment criteria to determine whether to report the transfusion patient data. The present invention obtains transfusion patient data based on a standardized transfusion adverse reaction collection table, avoids recording errors caused by paper filling due to negligence in input or differences in understanding, ensures the accuracy and consistency of data records, and uses an electronic information collection table to collect and upload data in real time, accelerates the speed of data collection and processing, and avoids the problem of underreporting or delayed reporting. At the same time, based on the judgment criteria, the transfusion patient data can be directly compared for reporting, assisting medical staff in making judgments and automatically screening the collection table, avoiding medical staff from making wrong judgments due to lack of professional knowledge, thereby improving the reporting rate and recognition rate of adverse transfusion reactions.
[0012] Furthermore, according to the historical case data, the main factors affecting the occurrence of each adverse transfusion reaction are determined to include: Performing a normal distribution test on the historical case data; Different sample testing methods were used according to the test results to determine the difference in the impact of different factors on the occurrence of adverse transfusion reactions; Determining target factors that affect the occurrence of adverse transfusion reactions according to the difference value; Obtaining different components of the target factor, and analyzing the historical case data by statistical analysis methods to determine the degree of influence of the different components on different types of adverse transfusion reactions; The main factors affecting the occurrence of each adverse transfusion reaction in the different components are determined according to the degree of influence.
[0013] From the above description, it can be seen that the sample test method is used to compare whether there is a significant difference in the overall mean of two independent samples. If there are significant differences in the adverse reactions to transfusion that occur in the same transfusion patient under different factors, it means that the factor is the target factor that affects the adverse reactions to transfusion. The target factors determined by the sample test method are only the main categories, and the main factors are the components of the target factors. For example, by calculating the patient's gender and transfusion plasma through the sample test method, it can be determined that transfusion plasma is the target factor that affects the adverse reactions to transfusion, and specifically the blood components in transfusion plasma belong to different components of the target factor. In this way, the pertinence of data collection is improved, thereby facilitating the subsequent accurate analysis of adverse reactions to transfusion.
[0014] Further, generating a collection table of adverse transfusion reactions according to the standard symptom information corresponding to each adverse transfusion reaction and the main factors includes: Generate information checkboxes based on standard symptom information for all adverse reactions to transfusion; Generate an information filling column according to the target factor to which the main factor belongs; Generate a blood transfusion adverse reaction collection form based on the information check box and the information fill-in box.
[0015] It can be seen from the above description that in the traditional paper reporting method, standard symptom information is usually filled in manually. For some medical staff who have not received professional blood transfusion knowledge training, they may not be able to accurately express or ignore certain symptom information, resulting in reporting errors. The present invention generates standard symptom information in the form of an information checkbox, so that medical staff who have not received professional blood transfusion knowledge training can more clearly understand the symptom information, which is less likely to cause omissions or errors in expression, thereby improving the accuracy of information reporting. At the same time, the main factors are mainly filled in with information to ensure the integrity and flexibility of data records.
[0016] Further, the transfusion patient data includes real-time symptom information and transfusion data of the transfusion patient; The data of transfusion patients obtained through the adverse transfusion reaction collection form include: Obtain real-time symptom information of the transfusion patient during the transfusion process by checking the information box; The blood transfusion data related to the target factor during the blood transfusion process of the blood transfusion patient is obtained through the information filling column.
[0017] From the above description, it can be seen that since the judgment criteria are determined based on standard symptom information and main factors, when collecting data on transfusion patients, corresponding data are collected separately according to two dimensions to facilitate subsequent data analysis and processing.
[0018] Furthermore, the criteria for determining each adverse reaction to blood transfusion include: Generating a type discrimination standard according to the standard symptom information corresponding to each adverse transfusion reaction, wherein the type discrimination standard is used to determine the type of adverse transfusion reaction occurring in the transfusion patient; Generate a correlation judgment standard based on the main factors, and the correlation judgment standard is used to determine whether the symptom information of the blood transfusion patient is related to the blood transfusion; A judgment criterion is generated according to the type judgment criterion and the relevance judgment criterion.
[0019] From the above description, it can be seen that adverse reactions to blood transfusion are mainly manifested through symptom information. Therefore, the type discrimination standard can be determined based on the standard symptom information of each adverse reaction to blood transfusion, so as to avoid the problem of incorrect reporting and handling due to the lack of diagnostic knowledge of a certain type of adverse reaction to blood transfusion by medical staff. Since patients may have adverse reactions caused by other problems, the relevance of blood transfusion to the patient is determined through the main factors, so as to avoid the incorrect recording of symptom information unrelated to blood transfusion and ensure the validity of data reporting.
[0020] Further, comparing the blood transfusion patient data with the judgment standard, and reporting the blood transfusion patient data according to the comparison result includes: Detecting whether the blood transfusion data contains major factors that affect the type of adverse reaction to blood transfusion; If yes, then comparing the real-time symptom information with the type discrimination criteria for each type of adverse transfusion reaction; If the comparison result meets the preset conditions, the type of adverse transfusion reaction occurred in the transfusion patient is determined to be the type of adverse transfusion reaction corresponding to the type discrimination standard, and a transfusion adverse reaction report is generated according to the type of adverse transfusion reaction and the transfusion patient data; The reporting process is carried out based on the adverse blood transfusion reaction report form.
[0021] From the above description, it can be seen that if the main factors affecting the type of adverse reaction to blood transfusion are included, it means that the transfusion patient may have an adverse reaction caused by blood transfusion. Therefore, by further comparing the symptom information to confirm the type of adverse reaction, and then conducting the next step of inspection and treatment for different adverse reaction types, the accuracy of reporting of adverse reactions to blood transfusion is improved.
[0022] Furthermore, it also includes: generating a Sankey diagram according to the degree of influence of the different components on different types of adverse transfusion reactions; The correlation determination criteria generated according to the main factors include: A correlation criterion is generated according to the main factors and the Sankey diagram.
[0023] From the above description, we can see that the Sankey diagram can intuitively show the flow relationship and proportion distribution between different components or factors. Since the occurrence of adverse transfusion reactions is caused by many factors, the Sankey diagram can intuitively show the influence of different factors on the occurrence of adverse transfusion reactions, which is convenient for correlation analysis of transfusion data.
[0024] Furthermore, it also includes: Determine the probability of occurrence of each adverse transfusion reaction based on the historical case data; Comparing the real-time symptom information with the type discrimination criteria for each type of adverse transfusion reaction includes: The real-time symptom information is compared with the type discrimination criteria of each type of adverse transfusion reaction in turn according to the occurrence probability.
[0025] From the above description, it can be seen that common types of adverse reactions to blood transfusion are prioritized for comparison, thereby improving the efficiency of determining the types of adverse reactions to blood transfusion.
[0026] Furthermore, it also includes: Obtaining a manual report sheet corresponding to the blood transfusion patient data, wherein the manual report sheet is a manually filled-in blood transfusion adverse reaction report sheet; Comparing the manual report form with the adverse blood transfusion reaction report form to obtain difference information between the manual report form and the adverse blood transfusion reaction report form; The adverse transfusion reaction report form is updated according to the difference information.
[0027] From the above description, it can be seen that the adverse transfusion reaction collection form is continuously updated and optimized through manually filled-in report forms, the integrity of data collection is improved, and the reported information of the report forms is gradually optimized, thereby ensuring the validity of the reported information.
[0028] Another embodiment of the present invention provides a reporting terminal for adverse transfusion reactions, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, it implements the various steps of the above-mentioned method for reporting adverse transfusion reactions.
[0029] From the above description, it can be seen that the beneficial effects of the present invention are: based on the standardized adverse transfusion reaction collection form, the data of transfusion patients are obtained, and the recording errors caused by negligence in input or differences in understanding in paper reporting are avoided, and the accuracy and consistency of data records are ensured. In addition, the electronic information collection form can be used to collect and upload data in real time, which speeds up the speed of data collection and processing and avoids the problem of underreporting or delayed reporting. At the same time, based on the judgment criteria, the data of transfusion patients can be directly compared and reported, which assists medical staff in making judgments and can automatically screen the collection form, avoiding wrong judgments caused by medical staff due to lack of professional knowledge, thereby improving the reporting rate and recognition rate of adverse transfusion reactions.
[0030] The above-mentioned method and terminal for reporting adverse transfusion reactions of the present invention can be applied to the real-time collection of patient data during the transfusion process, can standardize the reporting method of adverse transfusion reactions, and improve the reporting rate and recognition rate of adverse transfusion reactions. The following is an explanation through specific implementation methods: Please refer to Figure 1 , Embodiment 1 of the present invention is: A method for reporting adverse reactions to blood transfusion, specifically comprising: S1. Obtain historical case data on adverse reactions occurring during blood transfusion.
[0031] In some embodiments, historical case data may include patient gender, blood information, transfusion dose, transfusion plasma information, patient medical history, and patient medication use, and other relevant data that may affect adverse transfusion reactions.
[0032] S2. Determine the main factors affecting the occurrence of each adverse transfusion reaction based on the historical case data.
[0033] Specifically, step S2 includes: S21. Perform a normal distribution test on the historical case data.
[0034] S22. Use different sample testing methods based on the test results to determine the difference in the impact of different factors on the occurrence of adverse transfusion reactions.
[0035] In some embodiments, an independent sample t-test is used for historical case data that conforms to a normal distribution, and a Mann-Whitney test is used for historical case data that does not conform to a normal distribution. Both the independent sample t-test and the Mann-Whitney test belong to sample test methods, and these two methods are used to compare the difference values between two independent samples.
[0036] S23. Determine the target factor that affects the occurrence of adverse transfusion reactions based on the difference value.
[0037] In some embodiments, in statistics, if the difference value is less than 0.05, it means that there is a significant difference between the two independent samples. For example, one independent sample is all case data of male patients with a certain symptom, and the other independent sample is all case data of female patients with a certain symptom, and the comparison condition between the two independent samples is the patient's gender. If the difference value between the two samples detected by the sample test method is greater than 0.05, it means that the patient's gender will not affect the occurrence of a certain symptom. On the contrary, if the difference value between the two samples is less than 0.05, it means that the patient's gender will affect the occurrence of a certain symptom.
[0038] S24. Obtain different components of the target factor, and analyze the historical case data by statistical analysis methods to determine the degree of influence of the different components on different types of adverse transfusion reactions.
[0039] In some embodiments, the statistical analysis method is specifically a regression analysis method or a correlation analysis method.
[0040] S25. Determine the main factors affecting the occurrence of each adverse transfusion reaction among the different components based on the degree of influence.
[0041] In some embodiments, the above step S2 can be implemented by statistical analysis software, such as SPSS or R software.
[0042] S3. Generate a blood transfusion adverse reaction collection table according to the standard symptom information corresponding to each blood transfusion adverse reaction and the main factors, and determine the judgment criteria for each blood transfusion adverse reaction.
[0043] Among them, the standard symptom information corresponding to each adverse transfusion reaction can be directly obtained in the "Guidelines for Blood Safety Monitoring" (T / CSBT 001-2019) and the "Classification of Transfusion Reactions" (WS / T624-2018).
[0044] Specifically, in step S3, generating a collection table of adverse transfusion reactions according to the standard symptom information corresponding to each adverse transfusion reaction and the main factors includes: S31. Generate information checkboxes based on standard symptom information for all adverse reactions to transfusion.
[0045] Since temperature changes, chills, rash and itching are common during blood transfusion, medical staff who have not received relevant knowledge training can easily identify the above symptom information as adverse reactions to blood transfusion. However, if symptoms such as dyspnea, hypertension, hypotension, jaundice, hemoglobin drop, diarrhea and abnormal liver function occur during blood transfusion, they are relatively rare, and medical staff who have not received relevant knowledge training cannot directly associate the above symptom information with adverse reactions to blood transfusion. In the present invention, the standard symptom information obtained includes common and uncommon symptom information during blood transfusion, so that medical staff can better collect relevant information.
[0046] S32. Generate an information filling column according to the target factor to which the main factor belongs.
[0047] S33. Generate a blood transfusion adverse reaction collection form according to the information check box and the information fill-in box.
[0048] In some embodiments, a symptom collection subtable and an information recording subtable can be generated based on the information check box and the information filling box, respectively, so as to perform step-by-step recording and collection at different stages of the blood transfusion process, thereby improving the convenience and timeliness of data collection.
[0049] Specifically, in step S3, determining the judgment criteria for each adverse reaction to blood transfusion includes: S34. Generate a type discrimination standard based on the standard symptom information corresponding to each adverse transfusion reaction, and the type discrimination standard is used to determine the type of adverse transfusion reaction occurring in the transfusion patient.
[0050] For example, for a febrile non-hemolytic transfusion reaction, at least one of the following symptom information is required: fever (body temperature ≥38°C or the difference between the increased body temperature after transfusion and the body temperature before transfusion is ≥1°C; if the body temperature before transfusion has reached 38°C, the temperature difference before and after transfusion must be ≥1°C); chills / shivering.
[0051] S35. Generate a correlation judgment standard based on the main factors, and the correlation judgment standard is used to determine whether the symptom information occurring in the transfusion patient is related to the transfusion.
[0052] For example, symptoms of adverse reactions to blood transfusion should occur within 24 hours of the transfusion process. If the symptoms of adverse reactions to blood transfusion do not occur within 24 hours of the transfusion process, it means that the symptoms are not highly correlated with the transfusion.
[0053] Specifically, the method further includes: generating a Sankey diagram according to the degree of influence of the different components on different types of adverse transfusion reactions, and step S35 includes: generating a correlation discrimination standard according to the main factors and the Sankey diagram. In this way, the Sankey diagram is a visual diagram, and in some practical applications, medical staff can manually discriminate transfusion correlation through the Sankey diagram.
[0054] S36: Generate a judgment standard according to the type judgment standard and the relevance judgment standard.
[0055] S4. Obtaining transfusion patient data through the blood transfusion adverse reaction collection form.
[0056] The transfusion patient data includes real-time symptom information and transfusion data of the transfusion patient.
[0057] Specifically, step S4 includes: S41, obtaining the real-time symptom information of the transfused patient during the transfusion process through the information check box. In this way, the medical staff directly checks the real-time symptom information of the transfused patient, which is convenient for the medical staff to quickly and accurately record the symptom information, and can effectively improve the recognition accuracy of adverse reactions to transfusion.
[0058] S42, obtaining the blood transfusion data related to the target factor during the blood transfusion process of the blood transfusion patient through the information filling column. In this way, medical staff can be reminded which relevant blood transfusion data should be recorded.
[0059] S5. Compare the blood transfusion patient data with the judgment standard, and report the blood transfusion patient data according to the comparison result.
[0060] Specifically, step S5 includes: S51, detecting whether the blood transfusion data contains major factors that affect the type of adverse reaction to blood transfusion.
[0061] S52: If yes, then the real-time symptom information is compared with the type discrimination criteria of each type of adverse transfusion reaction.
[0062] Specifically, the method further includes: determining the probability of occurrence of each adverse transfusion reaction according to the historical case data, and step S53 includes: comparing the real-time symptom information with the type discrimination criteria of each type of adverse transfusion reaction according to the probability of occurrence.
[0063] S53. If the comparison result meets the preset conditions, the type of adverse transfusion reaction occurring in the transfusion patient is determined to be the type of adverse transfusion reaction corresponding to the type discrimination standard, and a transfusion adverse reaction report is generated according to the type of adverse transfusion reaction and the transfusion patient data.
[0064] For example, the body temperature of the transfusion patient before transfusion was 37.2℃, and the body temperature after transfusion was 38.1℃. Therefore, it was determined that the transfusion patient had fever symptoms during the transfusion process, which was consistent with the type of febrile non-hemolytic transfusion reaction.
[0065] S54. Perform reporting based on the adverse blood transfusion reaction report form.
[0066] Embodiment 2 of the present invention is: A method for reporting adverse reactions to blood transfusion, which differs from the first embodiment in that it also includes: S6. Obtaining a manual report form corresponding to the blood transfusion patient data, wherein the manual report form is a manually filled-in blood transfusion adverse reaction report form.
[0067] S7. Compare the manual report form with the adverse blood transfusion reaction report form to obtain difference information between the manual report form and the adverse blood transfusion reaction report form.
[0068] S8. Update the adverse transfusion reaction report form according to the difference information.
[0069] In some embodiments, the above steps S6 to S8 can be implemented based on the PDCA tool. The PDCA tool is a PDCA cycle, in which P stands for Plan, D stands for Do, C stands for Check, and A stands for Act. Plan: Determine the preliminary content of the adverse transfusion reaction collection form. Do: Start collecting data of transfusion patients in actual operation based on the preliminary designed adverse transfusion reaction collection form. During the execution process, in order to ensure the accuracy and feasibility of the content filling, while using the software system for electronic filling, send trained medical staff to the patient's bedside to inquire about the relevant medical history in detail and manually fill in the adverse transfusion reaction report form. Check: Regularly evaluate the use of the adverse transfusion reaction report form of the software system, compare the consistency of the results of the two methods of filling, analyze which information is incomplete or difficult to fill in, and identify problems in the reporting process. Act: Continuously modify the adverse transfusion reaction report form based on feedback information, add necessary details or simplify complex parts. In this way, the purpose of improving operational efficiency and reporting rate is achieved. The above PDCA process is cycled in actual applications to gradually improve the design of the collection form and ensure the effectiveness of the reporting system.
[0070] In some embodiments, the difference between the manual report form and the initial adverse transfusion reaction report form is that the manual report form identifies the possibility of distinguishing the type of adverse transfusion reaction that occurred to the transfused patient and the severity of the adverse transfusion reaction that occurred. Therefore, the possibility of distinguishing the type of adverse transfusion reaction and the severity of the adverse transfusion reaction can be added to the updated adverse transfusion reaction report form.
[0071] In some embodiments, the possibility of distinguishing the type of adverse transfusion reaction that occurred in the transfusion patient can be identified based on the different preset conditions that the comparison results meet. For example, the body temperature of the transfusion patient before transfusion is 37.2°C, and the body temperature after transfusion is 38.1°C. Therefore, it is determined that the transfusion patient has fever symptoms during the transfusion process, which meets the type of febrile non-hemolytic transfusion reaction, but the transfusion patient does not have chills / shivering symptoms, that is, the transfusion patient only meets one symptom information, then the transfusion patient can be identified as a possible febrile non-hemolytic transfusion reaction. If the transfusion patient has fever symptoms and chills / shivering symptoms, that is, the transfusion patient meets two symptom information, then the transfusion patient can be identified as a very likely febrile non-hemolytic transfusion reaction.
[0072] In some embodiments, after determining the type of adverse transfusion reaction in a transfusion patient, the adverse transfusion reaction collection form and the type of adverse transfusion reaction may be fed back to the doctor system, which then determines the severity of the adverse transfusion reaction in the transfusion patient.
[0073] In some embodiments, a transfusion adverse reaction report is generated based on the transfusion patient data, the determined transfusion adverse reaction type, the determined possibility of the transfusion adverse reaction type, and the severity of the transfusion adverse reaction type obtained from the above-mentioned transfusion adverse reaction collection form.
[0074] Please refer to Figures 2 to 6 , Embodiment 3 of the present invention is: The reporting method for adverse reactions to blood transfusion in Example 1 is applied to a practical scenario.
[0075] Step 1: Obtain historical case data on adverse reactions that occurred during blood transfusion. The historical case data include the gender, blood type, blood composition, number of blood transfusion bags, blood transfusion dose, etc. of the transfusion patient.
[0076] Step 2: Use R software to perform sample tests on historical case data to obtain the difference value P of different factors affecting the occurrence of adverse reactions to blood transfusion. As shown in Table 1, the factors tested include gender, blood components, number of blood transfusion bags, blood transfusion dose, blood transfusion costs, and blood transfusion times, among which the unit of blood transfusion dose is U, 100ml=1U. The difference values P of these factors affecting the occurrence of adverse reactions are 0.2, 0.75, 0.27, 0.43, 0.17 and 0.64, respectively. Since the P values are all greater than 0.05, the above factors are not target factors. In the final test difference value, the target factor is determined to be the blood component of blood transfusion.
[0077] Table 1 Difference values of different factors in historical case data
[0078] Step 3: Count the types of adverse reactions to blood transfusion that occurred in the historical case data in R software, and call ggplot2 (an R language package for data visualization) and ggwordcloud (an R language package that provides word cloud layers for ggplot2) in R software to generate a word cloud diagram based on the counting results. Figure 2 As shown in the word cloud, the font size reflects the number of occurrences of different types of adverse transfusion reactions, and different types of adverse transfusion reactions are represented by different colors (in Figure 2 The corresponding colors are not shown in the figure). Among them, FNHTR, ATR, TACO, DHTR, TAD and OTHER represent different types of adverse transfusion reactions, FNHTR is non-hemolytic febrile reaction; ATR is allergic reaction; TACO is transfusion-related circulatory overload; DHTR is delayed hemolytic transfusion reaction; TAD is transfusion-related dyspnea; OTHER is other or unknown transfusion reaction. Based on the word cloud diagram, it can be seen that the probability of adverse transfusion reactions is ATR allergic reaction, FNHTR non-hemolytic febrile reaction, OTHER other or unknown transfusion reaction, DHTR delayed hemolytic transfusion reaction, TAD transfusion-related dyspnea, and TACO transfusion-related circulatory overload.
[0079] Step 4: Use statistical analysis in R software to determine the degree of influence of different blood components on each type of adverse transfusion reaction, and call ggplot2 and ggalluvia (an R language package that provides sankey layers for ggplot2) in R software to generate sankey diagrams based on the degree of influence. Figure 3As shown in the figure, in the Sankey diagram, the horizontal axis represents different variables, the vertical axis represents the components corresponding to each variable, and the width of the strip connecting different variables corresponds to the number of data times. Based on the Sankey diagram, it can be seen that blood transfusion components containing plasma (fresh frozen plasma and de-leukized fresh frozen plasma) are prone to ATR allergic reactions, and blood transfusion components containing red blood cells (suspended de-leukized red blood cells and suspended red blood cells) are prone to FNHTR non-hemolytic febrile reactions. That is, the main factor affecting ATR allergic reactions is plasma, the main factor affecting FNHTR non-hemolytic febrile reactions is red blood cells, the main factors affecting OTHER other or unknown transfusion reactions are platelets and de-leukized fresh frozen plasma, the main factor affecting TAD transfusion-related dyspnea is suspended red blood cells, the main factor affecting DHTR delayed hemolytic transfusion reactions is suspended red blood cells, and the main factor affecting TACO transfusion-related circulatory overload is de-leukized fresh frozen plasma.
[0080] Step 5: Generate information check boxes based on the standard symptom information corresponding to each type of adverse transfusion reaction, such as Figure 4 Generate information filling columns based on the target factors to which the main factors belong, such as Figure 6 Fill in the blood components of the transfused patient as shown. Generate a transfusion adverse reaction collection form based on the information checkbox and information fill-in columns.
[0081] Step 6: Generate type discrimination criteria based on the standard symptom information corresponding to each type of adverse transfusion reaction, such as Figure 5 As shown in Figure 2. Generate correlation criteria based on the main factors.
[0082] Step 7: Record the transfusion patient data using the adverse transfusion reaction collection form generated in step 5.
[0083] Step 8. Determine the type of adverse transfusion reaction through the type discrimination criteria and correlation discrimination criteria of step 6, and identify the possibility of the type of adverse transfusion reaction occurring in the transfused patient.
[0084] Step 9: Generate a transfusion adverse reaction report based on the transfusion patient data collected on the transfusion adverse reaction collection form, the type of transfusion adverse reaction and its possibility, transfusion relevance, and the severity of the transfusion adverse reaction reported by the doctor system, such as Figure 6 The collection of patient personal information in this invention has obtained individual consent and is only used for legal purposes.
[0085] Please refer to Figure 7 , Embodiment 2 of the present invention is: A terminal 100 for reporting adverse transfusion reactions includes a memory 101, a processor 102, and a computer program stored in the memory 101 and running on the processor 102. When the processor 102 executes the computer program, each step of a method for reporting adverse transfusion reactions in the above-mentioned embodiments 1 to 3 is implemented.
[0086] In summary, the present invention provides a reporting method and terminal for adverse transfusion reactions. First, the main factors that may affect the occurrence of adverse transfusion reactions are determined based on the historical case data of adverse reactions during the transfusion process. Then, a transfusion adverse reaction collection table is generated based on the standard symptom information and main factors corresponding to each adverse transfusion reaction, and the type discrimination standard and transfusion correlation discrimination standard of each type of adverse transfusion reaction are determined based on the standard symptom information and main factors. Finally, the transfusion patient data is obtained through the transfusion adverse reaction collection table, and the transfusion patient data is compared with the type discrimination standard and the transfusion correlation discrimination standard respectively to determine whether to report the transfusion patient data. The present invention obtains transfusion patient data based on a standardized transfusion adverse reaction collection table, avoids recording errors caused by paper reporting due to negligence in input or differences in understanding, ensures the accuracy and consistency of data records, and uses an electronic information collection table to collect and upload data in real time, speeds up data collection and processing, and avoids the problem of underreporting or delayed reporting. At the same time, based on the judgment criteria, the data of transfusion patients can be directly compared and reported, assisting medical staff in making judgments and automatically screening the collection forms to avoid wrong judgments made by medical staff due to lack of professional knowledge, thereby improving the reporting rate and recognition rate of adverse reactions to transfusion.
[0087] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A method for reporting adverse reactions to blood transfusion, characterized in that: include: Obtain historical case data on adverse reactions during blood transfusion; Determine the main factors affecting the occurrence of each adverse transfusion reaction based on the historical case data; Generate a blood transfusion adverse reaction collection table according to the standard symptom information corresponding to each blood transfusion adverse reaction and the main factors, and determine the judgment standard of each blood transfusion adverse reaction; Acquiring transfusion patient data through the transfusion adverse reaction collection form; The blood transfusion patient data is compared with the judgment standard, and the blood transfusion patient data is reported and processed according to the comparison result.
2. The method according to claim 1, characterized in that According to the historical case data, the main factors affecting the occurrence of each adverse transfusion reaction include: Performing a normal distribution test on the historical case data; Different sample testing methods were used according to the test results to determine the difference in the impact of different factors on the occurrence of adverse transfusion reactions; Determining target factors that affect the occurrence of adverse transfusion reactions according to the difference value; Obtaining different components of the target factor, and analyzing the historical case data by statistical analysis methods to determine the degree of influence of the different components on different types of adverse transfusion reactions; The main factors affecting the occurrence of each adverse transfusion reaction in the different components are determined according to the degree of influence.
3. The method according to claim 2, characterized in that Generating a collection table of adverse transfusion reactions according to the standard symptom information corresponding to each adverse transfusion reaction and the main factors includes: Generate information checkboxes based on standard symptom information for all adverse reactions to transfusion; Generate an information filling column according to the target factor to which the main factor belongs; Generate a blood transfusion adverse reaction collection form based on the information check box and the information fill-in box.
4. The method according to claim 3, characterized in that: The transfusion patient data includes real-time symptom information and transfusion data of the transfusion patient; The data of transfusion patients obtained through the adverse transfusion reaction collection form include: Obtain real-time symptom information of the transfusion patient during the transfusion process by checking the information box; The blood transfusion data related to the target factor during the blood transfusion process of the blood transfusion patient is obtained through the information filling column.
5. The method according to claim 4, characterized in that The criteria for determining each adverse transfusion reaction include: Generating a type discrimination standard according to the standard symptom information corresponding to each adverse transfusion reaction, wherein the type discrimination standard is used to determine the type of adverse transfusion reaction occurring in the transfusion patient; Generate a correlation judgment standard based on the main factors, and the correlation judgment standard is used to determine whether the symptom information of the blood transfusion patient is related to the blood transfusion; A judgment criterion is generated according to the type judgment criterion and the relevance judgment criterion.
6. The method according to claim 5, characterized in that Comparing the blood transfusion patient data with the judgment standard, and reporting the blood transfusion patient data according to the comparison result includes: Detecting whether the blood transfusion data contains major factors that affect the type of adverse reaction to blood transfusion; If yes, then comparing the real-time symptom information with the type discrimination criteria for each type of adverse transfusion reaction; If the comparison result meets the preset conditions, the type of adverse transfusion reaction occurred in the transfusion patient is determined to be the type of adverse transfusion reaction corresponding to the type discrimination standard, and a transfusion adverse reaction report is generated according to the type of adverse transfusion reaction and the transfusion patient data; The reporting process is carried out based on the adverse blood transfusion reaction report form.
7. The method according to claim 5, characterized in that Also includes: generating a Sankey diagram according to the degree of influence of the different components on different types of adverse transfusion reactions; The correlation determination criteria generated according to the main factors include: A correlation criterion is generated according to the main factors and the Sankey diagram.
8. The method according to claim 6, characterized in that Also includes: Determine the probability of occurrence of each adverse transfusion reaction based on the historical case data; Comparing the real-time symptom information with the type discrimination criteria for each type of adverse transfusion reaction includes: The real-time symptom information is compared with the type discrimination criteria of each type of adverse transfusion reaction in turn according to the occurrence probability.
9. The method according to claim 1, characterized in that: Also includes: Obtaining a manual report sheet corresponding to the blood transfusion patient data, wherein the manual report sheet is a manually filled-in blood transfusion adverse reaction report sheet; Comparing the manual report form with the adverse blood transfusion reaction report form to obtain difference information between the manual report form and the adverse blood transfusion reaction report form; The adverse transfusion reaction report form is updated according to the difference information.
10. A reporting terminal for adverse transfusion reactions, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the processor implements the various steps in the method for reporting adverse transfusion reactions as described in any one of claims 1-9.