Children sepsis possibility discrimination method and device

Abstract

The invention relates to a children sepsis possibility discrimination method and device. The method comprises the following steps: acquiring clinical detection data of a patient for judging the possibility of a disease; establishing an automatic processing program for judging the possibility of the disease according to the clinical detection data of the patient; and according to the clinical detection data of the patient and the automatic processing program, judging the children sepsis possibility ratio of the disease possibility judgment. According to the application, the possibility of sepsis in children can be quickly judged in the early stage, so that the survival rate of children suffering from sepsis is increased.

Description

Technical Field

[0001] The present invention relates to the field of medical and health technology, and more specifically, to a method and device for determining the possibility of sepsis in children. Background Art

[0002] Children's immune systems are not yet fully developed, and infectious diseases account for the majority of cases. Sepsis refers to life-threatening organ dysfunction caused by a dysregulated host response to infection. Severe sepsis accounts for more than 8% of all pediatric intensive care unit (PICU) admissions.

[0003] Sepsis in children requires early diagnosis and active treatment to reduce mortality. Improving prognosis requires comprehensive and targeted treatment methods, including fluid resuscitation, mechanical ventilation, anti-infection, and organ function protection. Summary of the invention

[0004] The embodiments of the present application provide a method and device for determining the possibility of sepsis in children. In order to have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary is not a general review, nor is it intended to identify key / important components or describe the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0005] In a first aspect, the present application provides a method for determining the possibility of sepsis in children, the method comprising:

[0006] Obtain clinical test data of patients to determine the possibility of disease;

[0007] Establishing an automated processing procedure for determining the possibility of the disease based on the patient's clinical test data;

[0008] The probability ratio of pediatric sepsis is determined based on the clinical test data of the patient and the automated processing program.

[0009] According to a preferred embodiment, the acquisition of clinical test data of patients for disease possibility determination includes:

[0010] Obtain the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactate to determine the likelihood of disease;

[0011] The patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid are used as clinical test data of the patient to determine the possibility of the disease.

[0012] According to a preferred embodiment, the automated processing procedure for disease possibility discrimination comprises: calculating a total score of pediatric sepsis possibility for the disease possibility discrimination based on the clinical test data of the patient, and performing calculations based on the total score of pediatric sepsis possibility to obtain a pediatric sepsis possibility ratio for the disease possibility discrimination.

[0013] According to a preferred embodiment, the total score of pediatric sepsis possibility for disease possibility discrimination is calculated based on the clinical test data of the patient, including:

[0014] Determine the patient's age discrimination score, respiratory rate discrimination score, immature granulocyte percentage discrimination score, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score for the disease possibility discrimination according to the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score;

[0015] The patient's age discrimination score, the respiratory rate discrimination score, the immature granulocyte percentage discrimination score, the procalcitonin discrimination score, the platelet discrimination score, the fibrinogen discrimination score, the body temperature discrimination score and / or the lactate discrimination score are added together to calculate the total score of pediatric sepsis possibility for the disease possibility discrimination.

[0016] According to a preferred embodiment, when the patient's age is <12 months, and 30 times / minute ≤ the respiratory rate ≤60 times / minute, the respiratory rate discrimination score is 0; when the patient's age is <12 months, and the respiratory rate is <30 times / minute, the respiratory rate discrimination score is 19.1; when the patient's age is <12 months, and the respiratory rate is >60 times / minute, the respiratory rate discrimination score is 36.3; when 12 months ≤ the patient's age ≤36 months, and 24 times / minute ≤ the respiratory rate ≤40 times / minute, the respiratory rate discrimination score is 0; when 12 months ≤ the patient's age ≤36 months , and the respiratory rate is <24 times / min, the respiratory rate discrimination score is 19.1; when 12 months ≤ the patient's age ≤ 36 months, and the respiratory rate is >40 times / min, the respiratory rate discrimination score is 36.3; when the patient's age is >36 months, and 18 times / min ≤ the respiratory rate ≤35 times / min, the respiratory rate discrimination score is 0; when the patient's age is >36 months, and the respiratory rate is <18 times / min, the respiratory rate discrimination score is 19.1; when the patient's age is >36 months, and the respiratory rate is >35 times / min, the respiratory rate discrimination score is 36.3;

[0017] When the immature granulocyte percentage is greater than 16%, the immature granulocyte percentage discrimination score is 100; when the immature granulocyte percentage is less than or equal to 16%, the immature granulocyte percentage discrimination score is 625;

[0018] When the procalcitonin is <0.5 ng / ml, the procalcitonin discrimination score is 0; when 0.5≤the procalcitonin≤2.0 ng / ml, the procalcitonin discrimination score is 16.3; when 2.0<the procalcitonin≤10.0 ng / ml, the procalcitonin discrimination score is 28.6; when the procalcitonin is >10.0 ng / ml, the procalcitonin discrimination score is 54.8;

[0019] When the platelet count is ≥100X10 9 / L, the platelet discrimination score is 0; when the platelet <100X10 9 / L, the platelet discrimination score is 45.8;

[0020] When the fibrinogen is ≥100 mg / dl, the fibrinogen discrimination score is 0; when the fibrinogen is <100 mg / dl, the fibrinogen discrimination score is 27.5;

[0021] When the body temperature is ≤36°C, the body temperature discrimination score is 19.8; when 36°C<the body temperature≤37.3°C, the body temperature discrimination score is 0; when 37.3°C<the body temperature≤38.5°C, the body temperature discrimination score is 16.3; when the body temperature is >38.5°C, the body temperature discrimination score is 19.7;

[0022] When the lactic acid level is <5mmol / L, the lactic acid discrimination score is 0; when 5mmol / L≤the lactic acid level is <11mmol / L, the lactic acid discrimination score is 12; when the lactic acid level is ≥11mmol / L, the lactic acid discrimination score is 96.2.

[0023] According to a preferred embodiment, the calculating according to the total score of the possibility of childhood sepsis to obtain the possibility ratio of childhood sepsis for disease possibility discrimination includes:

[0024] When F<60, PF<10%; when 60≤F<71, PF=(F-60) / 110+10%; when 71≤F<78, PF=(F-71) / 70+20%; when 78≤F<84, PF=(F-78) / 60+30%; when 84≤F<89, PF=(F-84) / 60+40%; when 89≤F<94.5, PF=(F-89) / 55+50 %; when 94.5≤F<100, PF=(F-94.5) / 55+60%; when 100≤F<107, PF=(F-100) / 70+70%; when 107≤F<117.5, PF=(F-107) / 105+80%; when F≥117.5, PF≥90%; wherein F represents the total score of the possibility of sepsis in children, and PF represents the possibility ratio of sepsis in children.

[0025] In a second aspect, the present application provides a device for determining the possibility of sepsis in children, the device comprising:

[0026] An acquisition module is used to obtain clinical test data of patients for disease possibility determination;

[0027] A program establishment module, used to establish an automated processing program for determining the possibility of the disease based on the clinical test data of the patient;

[0028] A discrimination module is used to discriminate the probability ratio of pediatric sepsis according to the clinical test data of the patient and the automated processing program.

[0029] According to a preferred embodiment, the acquisition module is specifically used for:

[0030] Obtain the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactate to determine the likelihood of disease;

[0031] The patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid are used as clinical test data of the patient to determine the possibility of the disease.

[0032] According to a preferred embodiment, the automated processing procedure for disease possibility discrimination comprises: calculating a total score of pediatric sepsis possibility for the disease possibility discrimination based on the clinical test data of the patient, and performing calculations based on the total score of pediatric sepsis possibility to obtain a pediatric sepsis possibility ratio for the disease possibility discrimination.

[0033] In a third aspect, the present application provides a computer storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the above-mentioned method steps.

[0034] In a fourth aspect, the present application provides a terminal, which may include: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0035] The technical solution provided by this application may have the following beneficial effects:

[0036] In the present application, the method for determining the possibility of sepsis in children obtains clinical test data of patients for disease possibility determination; establishes an automated processing procedure for disease possibility determination based on the clinical test data of patients; and determines the probability ratio of sepsis in children for disease possibility determination based on the clinical test data of patients and the automated processing procedure. The present application can quickly determine the possibility of sepsis in children at an early stage, thereby increasing the survival rate of children with sepsis.

[0037] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0039] Figure 1 It is a flow chart of a method for determining the possibility of sepsis in children provided in an embodiment of the present application;

[0040] Figure 2 It is a schematic diagram of the structure of a device for determining the possibility of sepsis in children provided in an embodiment of the present application;

[0041] Figure 3 It is a structural diagram of a terminal provided in an embodiment of the present application.

[0042] Reference numerals:

[0043] 10000, acquisition module, 20000, program establishment module, 30000, identification module;

[0044] 1001. Processor, 1002. Communication bus, 1003. User interface, 1004. Network interface, 1005. Memory. DETAILED DESCRIPTION

[0045] The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.

[0046] It should be clear that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are only examples of systems and methods consistent with some aspects of the present invention as detailed in the attached claims.

[0048] In the description of the present invention, it should be understood that the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In addition, in the description of the present invention, unless otherwise specified, "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previously associated objects are in an "or" relationship.

[0049] The following will be combined with the attached Figure 1 , a method for determining the possibility of sepsis in children provided in an embodiment of the present application is introduced in detail.

[0050] See also Figure 1 The method of the embodiment of the present application may include the following steps:

[0051] There were no clear diagnostic criteria for early childhood sepsis until the release of the "Surviving Sepsis Campaign International Guidelines: Management of Septic Shock and Related Organ Dysfunction in Children" in 2020. The guidelines stated that for patients with infection or suspected infection, the diagnosis can be made when the Pediatric Sequential Organ Failure Assessment (PSOFA) score is ≥2.

[0052] The occurrence and development of sepsis requires a certain amount of time and changes. Children with sepsis do not show typical sepsis from the beginning and fully meet the diagnostic criteria. More children gradually develop sepsis during the treatment process. Therefore, the PSOFA score is not suitable for early prediction. In addition, the PSOFA score has certain limitations. The formulation of the standard is based on the PSOFA score of adults, but children are not a smaller version of adults. Simply applying adult standards to assess children's organ dysfunction is not accurate enough. Secondly, the clinical data for the formulation of the PSOFA score almost all come from adults in some countries, and it is difficult to determine whether it is applicable to children. In some areas, medical resources are limited, and doctors have insufficient understanding of sepsis. PSOFA involves evaluation of various systems, with many and complex items. Doctors have different levels of understanding and different scores, so it is difficult to promote it in primary hospitals.

[0053] The research institute observed 834 patients with severe infections in the pediatric intensive care unit (PICU) and found that 212 of them eventually developed sepsis, while 622 infected patients improved after treatment and did not develop sepsis. The researchers found that the mortality rate of sepsis was significantly higher than that of non-sepsis patients. Therefore, early diagnosis and symptomatic treatment of childhood sepsis play a very important role in the cure of childhood sepsis. This method for diagnosing the possibility of childhood sepsis is based on early examinations of hundreds of childhood sepsis diagnosis cases. The diagnosis model of childhood sepsis is established through the LASSO-logistic regression equation, and an early diagnosis method for the possibility of childhood sepsis is proposed, which can quickly determine the possibility of childhood sepsis, thereby increasing the survival rate of children with sepsis.

[0054] The diagnostic technology for the possibility of childhood sepsis provided in this application uses the LASSO-logistic regression equation to establish a diagnostic model for childhood sepsis, discriminates and scores early clinical test information, i.e., the clinical test data of the following patients, and obtains a total score for the possibility of childhood sepsis based on the comprehensive scoring information, and calculates the possibility ratio of childhood sepsis, which can quickly determine the possibility of childhood sepsis. The details are as follows:

[0055] S100, obtain clinical test data of patients for disease possibility determination, including:

[0056] Seven most commonly used clinical variables were screened out through LASSO-logistic regression, including vital signs and the most easily available laboratory tests, namely the patient's age (Age), respiratory rate (Rospiratory Rate), immature granulocyte percentage (IM%), procalcitonin (PCT), platelets (PLT), fibrinogen (Fib), body temperature (Temperature) and / or lactic acid (Lac) for disease possibility judgment; the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid were used as the patient's clinical test data for disease possibility judgment.

[0057] S200, establishing an automated processing procedure for determining the likelihood of the disease based on the patient's clinical test data.

[0058] All statistical analyses in this application were performed using R software version 4.4.0, using specific packages such as “glmnet” for LASSO regression, “pROC” for ROC curve analysis, and “rms” for calibration plots, which improved the accuracy of the study results. Statistical significance was determined when the p value was less than 0.05.

[0059] The distribution of continuous variables was assessed using the Shapiro–Wilk test. Normally distributed continuous variables were presented as mean ± SD, while categorical variables were presented as percentages and tested using Pearson chi-square or Fisher's test.

[0060] To minimize potential multicollinearity and overfitting, the least absolute shrinkage and selection operator algorithm LASSO regression analysis method was used to screen variables. Specifically, LASSO regression shrinks the coefficients of irrelevant variables to zero, while variables with non-zero coefficients are retained as candidate predictors, thereby reducing the data dimension. 43 initial variables were entered into the LASSO model. The optimal shrinkage parameter lambda was determined by 10-fold cross validation using the built-in function ‘cv.glmnet’ in ‘glmnet’. In this study, lambda.1se (within one standard error of the minimum lambda) was selected as the optimal lambda because it was able to select the fewest variables with good predictive performance.

[0061] The candidate predictors obtained by LASSO regression were included in multivariate logistic regression analysis to determine the independent risk factors associated with sepsis and their corresponding regression coefficients b and intercept values. The R package "rms" was used to generate a nomogram based on the results of multivariate logistic regression analysis. Then, the patients in the development dataset were randomly divided into 70% as a training set and 30% as an internal validation set using the "caret" package. The nomogram performance of the training set and validation set was evaluated using "pROC", "rms" and "rmda", respectively, to evaluate the clinical effectiveness of the prediction model.

[0062] The automated processing program is also called the above-mentioned LASSO model, prediction model and pediatric sepsis diagnosis model. The automated processing program for disease possibility discrimination in the embodiment of the present application includes: calculating the total score of pediatric sepsis possibility for the disease possibility discrimination according to the clinical test data of the patient, and calculating according to the total score of pediatric sepsis possibility to obtain the pediatric sepsis possibility ratio for the disease possibility discrimination.

[0063] Specifically, the total score of pediatric sepsis possibility for disease possibility discrimination is calculated based on the clinical test data of the patient, including:

[0064] According to the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid, the patient's age discrimination score, respiratory rate discrimination score, immature granulocyte percentage discrimination score, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score for the disease possibility discrimination are determined; the patient's age discrimination score, respiratory rate discrimination score, immature granulocyte percentage discrimination score, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score are added together to calculate the total score of pediatric sepsis possibility for the disease possibility discrimination.

[0065] The respiratory rate is scored in combination with the patient's age: when the patient is <12 months old and the respiratory rate is 30 times / min≤60 times / min, the respiratory rate is scored as 0; when the patient is <12 months old and the respiratory rate is <30 times / min, the respiratory rate is scored as 19.1; when the patient is <12 months old and the respiratory rate is >60 times / min, the respiratory rate is scored as 36.3; when 12 months ≤ the patient's age ≤36 months and the respiratory rate is 24 times / min≤40 times / min, the respiratory rate is scored as 0; when 12 months ≤ the patient's age ≤36 months and the respiratory rate is 24 times / min≤40 times / min, the respiratory rate is scored as 0 When the age is ≤36 months and the respiratory rate is <24 times / min, the respiratory rate discrimination score is 19.1; when 12 months ≤ the patient's age ≤36 months and the respiratory rate is >40 times / min, the respiratory rate discrimination score is 36.3; when the patient's age is >36 months and 18 times / min ≤ the respiratory rate ≤35 times / min, the respiratory rate discrimination score is 0; when the patient's age is >36 months and the respiratory rate is <18 times / min, the respiratory rate discrimination score is 19.1; when the patient's age is >36 months and the respiratory rate is >35 times / min, the respiratory rate discrimination score is 36.3.

[0066] The immature granulocyte percentage was discriminated and scored. Specifically, when the immature granulocyte percentage was >16%, the immature granulocyte percentage discrimination score was 100; when the immature granulocyte percentage was ≤16%, the immature granulocyte percentage discrimination score was 625.

[0067] Procalcitonin was discriminated and scored, and the specific scores were: when the procalcitonin <0.5ng / ml, the procalcitonin discrimination score was 0; when 0.5≤the procalcitonin≤2.0ng / ml, the procalcitonin discrimination score was 16.3; when 2.0<the procalcitonin≤10.0ng / ml, the procalcitonin discrimination score was 28.6; when the procalcitonin>10.0ng / ml, the procalcitonin discrimination score was 54.8.

[0068] Platelets were scored: when the platelets were ≥100×10 9 / L, the platelet discrimination score is 0; when the platelet <100X10 9 / L, the platelet discrimination score was 45.8.

[0069] The fibrinogen was discriminated and scored. Specifically, when the fibrinogen was ≥100 mg / dl, the fibrinogen discrimination score was 0; when the fibrinogen was <100 mg / dl, the fibrinogen discrimination score was 27.5.

[0070] The body temperature is judged and scored, and the specific scoring is: when the body temperature is ≤36°C, the body temperature judgment score is 19.8; when 36°C<the body temperature≤37.3°C, the body temperature judgment score is 0; when 37.3°C<the body temperature≤38.5°C, the body temperature judgment score is 16.3; when the body temperature is >38.5°C, the body temperature judgment score is 19.7.

[0071] Lactic acid was discriminated and scored, and the specific scores were: when the lactic acid <5mmol / L, the lactic acid discrimination score was 0; when 5mmol / L≤the lactic acid<11mmol / L, the lactic acid discrimination score was 12; when the lactic acid ≥11mmol / L, the lactic acid discrimination score was 96.2.

[0072] Based on the above content, an automated processing program is established using a computer, and the scores are accumulated according to the above steps to calculate the total score of the possibility of sepsis in the child:

[0073] F=Fr+Fi+Fc+Fl+Ff+Ft+Fa;

[0074] Among them, F is the total score of the possibility of childhood sepsis, and Fr, Fi, Fc, Fl, Ff, Ft and Fa are the respiratory rate discrimination score, immature granulocyte percentage discrimination score, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and lactate discrimination score calculated according to the above steps. The total scores of the possibility of childhood sepsis are then compared by computer, and the possibility ratio of childhood sepsis is calculated according to the following content:

[0075] The calculating according to the total score of the possibility of childhood sepsis to obtain the possibility ratio of childhood sepsis for the disease possibility discrimination comprises:

[0076] When F<60, PF<10%; when 60≤F<71, PF=(F-60) / 110+10%; when 71≤F<78, PF=(F-71) / 70+20%; when 78≤F<84, PF=(F-78) / 60+30%; when 84≤F<89, PF=(F-84) / 60+40%; when 89≤F<94.5, PF=(F-89) / 55+50 %; when 94.5≤F<100, PF=(F-94.5) / 55+60%; when 100≤F<107, PF=(F-100) / 70+70%; when 107≤F<117.5, PF=(F-107) / 105+80%; when F≥117.5, PF≥90%; wherein F represents the total score of the possibility of sepsis in children, and PF represents the possibility ratio of sepsis in children.

[0077] S300, determining the probability ratio of childhood sepsis according to the disease probability determination based on the patient's clinical test data and the automated processing program.

[0078] In the embodiment of the present application, the clinical test data of the patient can be the variable values ​​measured for the first time after an 8-month-old baby is admitted to the hospital, specifically: respiratory rate is 55 times / min, body temperature is 39°C, immature granulocyte percentage is 3.8%, procalcitonin is 6ng / ml, platelets are 105X109 / L, fibrinogen is 90mg / dL, and lactic acid is 6mmol / L. This information is input into the automatic processing program, and within the automatic processing program, the respiratory rate discrimination score is analyzed to be 0 points, the body temperature discrimination score is 19.7 points, the immature granulocyte percentage discrimination score is 23.75 points, the procalcitonin discrimination score is 28.6 points, the platelet discrimination score is 0 points, the fibrinogen discrimination score is 27.5 points, and the lactic acid discrimination score is 12 points, and the total score of the possibility of childhood sepsis is determined to be 111.5, and the corresponding sepsis prediction risk, that is, the possibility ratio of childhood sepsis is 84%. Based on the predicted high probability of childhood sepsis, the child received early and active treatment, and was eventually discharged from the hospital after recovery.

[0079] In the present application, the method for determining the possibility of sepsis in children obtains clinical test data of patients for determining the possibility of the disease; an automated processing procedure for determining the possibility of the disease is established based on the clinical test data of the patients; and the probability ratio of sepsis in children for determining the possibility of the disease is determined based on the clinical test data of the patients and the automated processing procedure. The present application can quickly determine the possibility of sepsis in children at an early stage, thereby increasing the survival rate of children with sepsis. The present application predicts the probability of occurrence of sepsis in children through clinical test data of patients, and can directly obtain the score of the probability ratio of sepsis in children by inputting the corresponding variable values ​​into a computer. The operation is simple, the prediction is accurate, and it can be extended to all pediatricians. The corresponding variable values ​​are the clinical test data of the patients.

[0080] The following are embodiments of the device of the present invention, which can be used to implement the method embodiments of the present invention. For details not disclosed in the device embodiments of the present invention, please refer to the method embodiments of the present invention.

[0081] See also Figure 2 , which shows a schematic diagram of a structure of a device for determining the possibility of sepsis in children provided by an exemplary embodiment of the present invention. The device comprises: an acquisition module 10000, a program establishment module 20000 and a determination module 30000.

[0082] The acquisition module 10000 is used to obtain clinical test data of patients for disease possibility determination;

[0083] A program establishment module 20000 is used to establish an automated processing program for determining the possibility of the disease based on the clinical test data of the patient;

[0084] The discrimination module 30000 is used to discriminate the probability ratio of pediatric sepsis according to the clinical test data of the patient and the automated processing program.

[0085] According to a preferred embodiment, the acquisition module 10000 is specifically used for:

[0086] Obtain the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactate to determine the likelihood of disease;

[0087] The patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid are used as clinical test data of the patient to determine the possibility of the disease.

[0088] According to a preferred embodiment, the automated processing procedure for disease possibility discrimination comprises: calculating a total score of pediatric sepsis possibility for the disease possibility discrimination based on the clinical test data of the patient, and performing calculations based on the total score of pediatric sepsis possibility to obtain a pediatric sepsis possibility ratio for the disease possibility discrimination.

[0089] It should be noted that the device for determining the possibility of sepsis in children provided in the above embodiment only uses the division of the above functional modules as an example when executing the method for determining the possibility of sepsis in children. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device for determining the possibility of sepsis in children provided in the above embodiment and the method for determining the possibility of sepsis in children are of the same concept, and the implementation process thereof is detailed in the method embodiment, which will not be repeated here.

[0090] In the present application, the device for determining the possibility of sepsis in children obtains clinical test data of patients for disease possibility determination; establishes an automated processing procedure for disease possibility determination based on the clinical test data of patients; and determines the probability ratio of sepsis in children for disease possibility determination based on the clinical test data of patients and the automated processing procedure. The present application can quickly determine the possibility of sepsis in children at an early stage, thereby increasing the survival rate of children with sepsis.

[0091] The present invention also provides a computer-readable medium having program instructions stored thereon, and when the program instructions are executed by a processor, the method for determining the possibility of sepsis in children provided by the above-mentioned various method embodiments is implemented.

[0092] The present invention also provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the method for determining the possibility of sepsis in children in the above-mentioned various method embodiments.

[0093] See also Figure 3 , which is a schematic diagram of the structure of a terminal according to an embodiment of the present application. The terminal may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0094] The communication bus 1002 is used to realize the connection and communication between these components.

[0095] The user interface 1003 may include a display screen (Display) and a camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.

[0096] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0097] Among them, the processor 1001 may include one or more processing cores. The processor 1001 uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Optionally, the processor 1001 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 1001 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001, and it can be implemented separately through a chip.

[0098] Among them, the memory 1005 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally be at least one storage device located away from the aforementioned processor 1001. As Figure 3 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a possibility determination application for children's sepsis.

[0099] exist Figure 3 In the terminal shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1001 can be used to call the possibility determination application for childhood sepsis stored in the memory 1005, and specifically perform the following operations:

[0100] Obtain clinical test data of patients to determine the possibility of disease;

[0101] Establishing an automated processing procedure for determining the possibility of the disease based on the clinical test data of the patient;

[0102] The probability ratio of pediatric sepsis is determined based on the clinical test data of the patient and the automated processing program.

[0103] In one embodiment, when the processor 1001 executes the method of obtaining the clinical test data of the patient for disease possibility determination, the processor 1001 specifically performs the following operations:

[0104] Obtain the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactate to determine the likelihood of disease;

[0105] The patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid are used as clinical test data of the patient to determine the possibility of the disease.

[0106] In one embodiment, when the processor 1001 executes the automated processing procedure for disease possibility determination, the following operations are specifically performed:

[0107] The total probability score of pediatric sepsis for the disease possibility discrimination is calculated based on the clinical test data of the patient, and the probability ratio of pediatric sepsis for the disease possibility discrimination is obtained by calculation based on the total probability score of pediatric sepsis.

[0108] In one embodiment, when the processor 1001 calculates the total probability score of pediatric sepsis according to the disease probability discrimination based on the clinical test data of the patient, the processor 1001 specifically performs the following operations:

[0109] Determine the patient's age discrimination score, respiratory rate discrimination score, immature granulocyte percentage discrimination score, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score for the disease possibility discrimination according to the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score;

[0110] The patient's age discrimination score, the respiratory rate discrimination score, the immature granulocyte percentage discrimination score, the procalcitonin discrimination score, the platelet discrimination score, the fibrinogen discrimination score, the body temperature discrimination score and / or the lactate discrimination score are added together to calculate the total score of the possibility of childhood sepsis in the disease possibility discrimination;

[0111] Among them, when the patient's age is <12 months, and 30 times / min≤the respiratory rate≤60 times / min, the respiratory rate discrimination score is 0; when the patient's age is <12 months, and the respiratory rate is <30 times / min, the respiratory rate discrimination score is 19.1; when the patient's age is <12 months, and the respiratory rate>60 times / min, the respiratory rate discrimination score is 36.3; when 12 months≤the patient's age≤36 months, and 24 times / min≤the respiratory rate≤40 times / min, the respiratory rate discrimination score is 0; when 12 months≤the patient's age≤36 months, and the When the respiratory rate is <24 times / min, the respiratory rate discrimination score is 19.1; when 12 months ≤ the patient's age ≤ 36 months, and the respiratory rate is >40 times / min, the respiratory rate discrimination score is 36.3; when the patient's age is >36 months, and 18 times / min ≤ the respiratory rate ≤35 times / min, the respiratory rate discrimination score is 0; when the patient's age is >36 months, and the respiratory rate is <18 times / min, the respiratory rate discrimination score is 19.1; when the patient's age is >36 months, and the respiratory rate is >35 times / min, the respiratory rate discrimination score is 36.3;

[0112] When the immature granulocyte percentage is greater than 16%, the immature granulocyte percentage discrimination score is 100; when the immature granulocyte percentage is less than or equal to 16%, the immature granulocyte percentage discrimination score is 625;

[0113] When the procalcitonin is <0.5 ng / ml, the procalcitonin discrimination score is 0; when 0.5≤the procalcitonin≤2.0 ng / ml, the procalcitonin discrimination score is 16.3; when 2.0<the procalcitonin≤10.0 ng / ml, the procalcitonin discrimination score is 28.6; when the procalcitonin is >10.0 ng / ml, the procalcitonin discrimination score is 54.8;

[0114] When the platelet count is ≥100X10 9 / L, the platelet discrimination score is 0; when the platelet <100X10 9 / L, the platelet discrimination score is 45.8;

[0115] When the fibrinogen is ≥100 mg / dl, the fibrinogen discrimination score is 0; when the fibrinogen is <100 mg / dl, the fibrinogen discrimination score is 27.5;

[0116] When the body temperature is ≤36°C, the body temperature discrimination score is 19.8; when 36°C<the body temperature≤37.3°C, the body temperature discrimination score is 0; when 37.3°C<the body temperature≤38.5°C, the body temperature discrimination score is 16.3; when the body temperature is >38.5°C, the body temperature discrimination score is 19.7;

[0117] When the lactic acid level is <5mmol / L, the lactic acid discrimination score is 0; when 5mmol / L≤the lactic acid level is <11mmol / L, the lactic acid discrimination score is 12; when the lactic acid level is ≥11mmol / L, the lactic acid discrimination score is 96.2.

[0118] In one embodiment, when the processor 1001 performs the calculation according to the total score of the possibility of childhood sepsis to obtain the possibility ratio of childhood sepsis for disease possibility discrimination, the processor 1001 specifically performs the following operations:

[0119] When F<60, PF<10%; when 60≤F<71, PF=(F-60) / 110+10%; when 71≤F<78, PF=(F-71) / 70+20%; when 78≤F<84, PF=(F-78) / 60+30%; when 84≤F<89, PF=(F-84) / 60+40%; when 89≤F<94.5, PF=(F-89) / 55+50 %; when 94.5≤F<100, PF=(F-94.5) / 55+60%; when 100≤F<107, PF=(F-100) / 70+70%; when 107≤F<117.5, PF=(F-107) / 105+80%; when F≥117.5, PF≥90%; wherein F represents the total score of the possibility of sepsis in children, and PF represents the possibility ratio of sepsis in children.

[0120] In the present application, the method and device for determining the possibility of sepsis in children obtains the clinical test data of patients for determining the possibility of the disease; an automated processing procedure for determining the possibility of the disease is established based on the clinical test data of the patients; and the probability ratio of sepsis in children for determining the possibility of the disease is determined based on the clinical test data of the patients and the automated processing procedure. The present application can quickly determine the possibility of sepsis in children at an early stage, thereby increasing the survival rate of children with sepsis.

[0121] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0122] The above disclosure is only the preferred embodiment of the present application, which certainly cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A method for determining the possibility of sepsis in children, characterized in that: The following steps are involved: Obtain clinical test data of patients to determine the possibility of disease; Establishing an automated processing procedure for determining the possibility of the disease based on the patient's clinical test data; The probability ratio of pediatric sepsis is determined based on the clinical test data of the patient and the automated processing program.

2. The method for diagnosing sepsis in children according to claim 1, characterized in that: The clinical test data of the patient for disease possibility determination is obtained, including: Obtain the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactate to determine the likelihood of disease; The patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid are used as clinical test data of the patient to determine the possibility of the disease.

3. The method for diagnosing sepsis in children according to claim 2, characterized in that: The automated processing procedure for disease possibility discrimination comprises: calculating the total probability score of pediatric sepsis for disease possibility discrimination according to the clinical test data of the patient, and performing calculation according to the total probability score of pediatric sepsis to obtain the probability ratio of pediatric sepsis for disease possibility discrimination.

4. The method for diagnosing sepsis in children according to claim 3, characterized in that: The method of calculating the total probability score of pediatric sepsis according to the clinical test data of the patient comprises: Determine the patient's age discrimination score, respiratory rate discrimination score, immature granulocyte percentage discrimination score, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score for the disease possibility discrimination according to the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin discrimination score, platelet discrimination score, fibrinogen discrimination score, body temperature discrimination score and / or lactic acid discrimination score; The patient's age discrimination score, the respiratory rate discrimination score, the immature granulocyte percentage discrimination score, the procalcitonin discrimination score, the platelet discrimination score, the fibrinogen discrimination score, the body temperature discrimination score and / or the lactate discrimination score are added together to calculate the total score of pediatric sepsis possibility for the disease possibility discrimination.

5. The method for diagnosing sepsis in children according to claim 4, characterized in that: When the patient's age is <12 months, and the respiratory rate is 30 times / min≤the respiratory rate≤60 times / min, the respiratory rate discrimination score is 0; when the patient's age is <12 months, and the respiratory rate is <30 times / min, the respiratory rate discrimination score is 19.1; when the patient's age is <12 months, and the respiratory rate is >60 times / min, the respiratory rate discrimination score is 36.3; when 12 months ≤ the patient's age ≤36 months, and the respiratory rate is 24 times / min≤the respiratory rate≤40 times / min, the respiratory rate discrimination score is 0; when 12 months ≤ the patient's age ≤36 months, and the respiratory rate is When the frequency is <24 times / min, the respiratory frequency discrimination score is 19.1; when 12 months ≤ the patient's age ≤ 36 months, and the respiratory frequency is >40 times / min, the respiratory frequency discrimination score is 36.3; when the patient's age is >36 months, and 18 times / min ≤ the respiratory frequency ≤35 times / min, the respiratory frequency discrimination score is 0; when the patient's age is >36 months, and the respiratory frequency is <18 times / min, the respiratory frequency discrimination score is 19.1; when the patient's age is >36 months, and the respiratory frequency is >35 times / min, the respiratory frequency discrimination score is 36.3; When the immature granulocyte percentage is greater than 16%, the immature granulocyte percentage discrimination score is 100; when the immature granulocyte percentage is less than or equal to 16%, the immature granulocyte percentage discrimination score is 625; When the procalcitonin is <0.5 ng / ml, the procalcitonin discrimination score is 0; when 0.5≤the procalcitonin≤2.0 ng / ml, the procalcitonin discrimination score is 16.3; when 2.0<the procalcitonin≤10.0 ng / ml, the procalcitonin discrimination score is 28.6; when the procalcitonin is >10.0 ng / ml, the procalcitonin discrimination score is 54.8; When the platelet count is ≥100X10 9 / L, the platelet discrimination score is 0; when the platelet <100X10 9 / L, the platelet discrimination score is 45.8; When the fibrinogen is ≥100 mg / dl, the fibrinogen discrimination score is 0; when the fibrinogen is <100 mg / dl, the fibrinogen discrimination score is 27.5; When the body temperature is ≤36°C, the body temperature discrimination score is 19.8; when 36°C<the body temperature≤37.3°C, the body temperature discrimination score is 0; when 37.3°C<the body temperature≤38.5°C, the body temperature discrimination score is 16.3; when the body temperature is >38.5°C, the body temperature discrimination score is 19.7; When the lactic acid level is <5mmol / L, the lactic acid discrimination score is 0; when 5mmol / L≤the lactic acid level is <11mmol / L, the lactic acid discrimination score is 12; when the lactic acid level is ≥11mmol / L, the lactic acid discrimination score is 96.

2.

6. The method for diagnosing sepsis in children according to claim 3, characterized in that: The calculating according to the total score of the possibility of childhood sepsis to obtain the possibility ratio of childhood sepsis for disease possibility discrimination includes: When F<60, PF<10%; when 60≤F<71, PF=(F-60) / 110+10%; when 71≤F<78, PF=(F-71) / 70+20%; when 78≤F<84, PF=(F-78) / 60+30%; when 84≤F<89, PF=(F-84) / 60+40%; when 89≤F<94.5, PF=(F-89) / 55+50 %; when 94.5≤F<100, PF=(F-94.5) / 55+60%; when 100≤F<107, PF=(F-100) / 70+70%; when 107≤F<117.5, PF=(F-107) / 105+80%; when F≥117.5, PF≥90%; wherein F represents the total score of the possibility of sepsis in children, and PF represents the possibility ratio of sepsis in children.

7. A device for determining the possibility of sepsis in children, characterized in that: include: An acquisition module is used to obtain clinical test data of patients for disease possibility determination; A program establishment module, used to establish an automated processing program for determining the possibility of the disease based on the clinical test data of the patient; A discrimination module is used to discriminate the probability ratio of childhood sepsis according to the clinical test data of the patient and the automated processing program.

8. The diagnostic device for pediatric sepsis according to claim 7, characterized in that: The acquisition module is specifically used for: Obtain the patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactate to determine the likelihood of disease; The patient's age, respiratory rate, immature granulocyte percentage, procalcitonin, platelets, fibrinogen, body temperature and / or lactic acid are used as clinical test data of the patient to determine the possibility of the disease.

9. The diagnostic device for pediatric sepsis according to claim 8, characterized in that: The automated processing procedure for disease possibility discrimination comprises: calculating the total probability score of pediatric sepsis for disease possibility discrimination according to the clinical test data of the patient, and performing calculation according to the total probability score of pediatric sepsis to obtain the probability ratio of pediatric sepsis for disease possibility discrimination.

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