Tumor patient gram-negative bacillus blood flow infection prognosis model and construction method

Abstract

The invention discloses a prognosis model for gram-negative bacillus blood flow infection of a tumor patient. The prognosis model comprises a plurality of optimal prognosis factors, evaluation scores corresponding to the optimal prognosis factors in different states and a survival probability corresponding to a total score obtained by adding the evaluation scores, wherein the prognosis factors mainly comprise platelet counting, lymphocyte counting, ICU (Intensive Care Unit), pulmonary infection and shock; wherein the optimal prognosis factors in different states include different counts of platelets before death of a gram-negative bacillus blood flow infected tumor patient, different counts of lymphocytes before death of the gram-negative bacillus blood flow infected tumor patient, different counts of the platelets before death of the gram-negative bacillus blood flow infected tumor patient, whether a gram-negative bacillus bloodstream infected tumor patient enters the ICU prior to death, whether a gram-negative bacillus bloodstream infected tumor patient has the shock prior to death, and whether a tumor patient has the pulmonary infection prior to being infected with gram-negative bacillus bloodstream infection. By means of the method, the death risk of the patient can be quickly, timely and accurately predicted.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a prognostic model and construction method of Gram-negative bacillus bloodstream infection in tumor patients. Background technique [0002] Blood stream infection (BSI) is a serious, systemic infectious disease that can cause systemic infection, poisoning, and systemic inflammatory response. Further lead to systemic multiple organ dysfunction syndrome (MultipleOrgan Dysfunction Syndrome, MODS) and even death. Compared with patients with other diseases, cancer patients are more prone to bloodstream infection due to the low immunity caused by the tumor itself and the treatment method. The main pathogenic bacteria of BSI in tumor patients are Gram-negative bacteria, among which Escherichia coli and Klebsiella pneumoniae are the main ones. Bloodstream infection in tumor patients progresses rapidly, which can easily lead to further progression to sepsis, severe sepsis, septic shock...

AI Technical Summary

Problems solved by technology

[0004] After careful analysis of the above scoring tools, it was found that, first, the calculation of SIRS, SOFA, qPitt, and APACHE II scores was complicated, and the scores could not be obtained in a timely and rapid manner. The study found that the sensitivity of qSOFA score was 46.7%, and the specificity was 81.3% %, it can be seen that the qSOFA score cannot predict the death risk of patients in time; second, studies in recent years have found that the above-mentioned scoring tools have limitations in predicting the death risk of bloodstream infection, resulting in poor adaptability and accuracy

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