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

A technology for gram-negative bacilli and tumor patients, applied in the medical field, can solve problems such as poor adaptability and accuracy, inability to predict the risk of patient death in time, and inability to score in time, so as to achieve the effect of accuracy

Inactive Publication Date: 2021-12-03
SICHUAN CANCER HOSPITAL
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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 specif

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

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Embodiment 1

[0038] A prognostic model for Gram-negative bacillary bloodstream infection in tumor patients, including several optimal prognostic factors with prognostic ability selected from all risk factors, the corresponding evaluation scores of each optimal prognostic factor in different states, and The survival probability corresponding to the total score obtained after the addition of each evaluation score; wherein, the prognostic factors are mainly composed of platelet count, lymphocyte count, ICU, lung infection and shock; Prognostic factors include differential counts of platelets prior to death in tumor patients with Gram-negative bacilli bloodstream infection, differential counts of lymphocytes prior to death in tumor patients infected with Gram-negative bacilli, Gram-negative bacilli Whether the tumor patients with bloodstream infection entered the ICU before death, whether the tumor patients with Gram-negative bacillus bloodstream infection had the shock before death, and whethe...

Embodiment 2

[0053] Such as Figure 1 to Figure 2 As shown, a method for constructing a prognostic model of Gram-negative bacillus bloodstream infection in tumor patients comprises the following steps:

[0054] a. Construct a database of tumor patients with Gram-negative bacillus bloodstream infection;

[0055] b. According to the survival status of patients with Gram-negative bacilli bloodstream infection within 30 days, patients in the Gram-negative bacilli patient database were divided into death group and non-death group;

[0056] c. Compare the laboratory and clinical data of the death group and the non-death group, and screen out the risk factors between the death group and the non-death group from the laboratory and clinical data;

[0057] d. Incorporate the risk factors screened out in the death group and non-death group into the Cox regression model, obtain the contribution, remove the risk factors with a p value greater than 0.05, and include the remaining risk factors with a p ...

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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...

Claims

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Application Information

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IPC IPC(8): G16H10/60G16H50/20G16H50/30G16H50/50G16H50/70
CPCG16H10/60G16H50/20G16H50/30G16H50/50G16H50/70
Inventor 祖瑞铃倪苏娇胥萍瑶罗怀超李玉苹刘畅
Owner SICHUAN CANCER HOSPITAL
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