Construction of a nomogram prediction model for cognitive dysfunction in sepsis
10.3969/j.issn.1671-8348.2025.05.009
- VernacularTitle:脓毒症认知功能障碍列线图预测模型的构建
- Author:
Fengli HUANG
1
;
Peipei WANG
;
Qing LIU
;
Tao FENG
Author Information
1. 宁夏回族自治区中西医结合医院,银川 750000
- Keywords:
sepsis;
cognitive dysfunction;
risk factors;
nomogram;
mini-mental state examination
- From:
Chongqing Medicine
2025;54(5):1101-1106
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the risk factors of cognitive dysfunction in patients with sepsis and constructing a predictive model.Methods A total of 102 patients treated in the Department of this hospital from April 2021 to April 2024 were selected as the research subjects.According to the scores of the Mini-Men-tal State Examination(MMSE)three months after discharge,the patients were divided into the cognitive im-pairment group and the non-cognitive impairment group.Demographic data,critical illness-related scores and laboratory indicators of the patients were collected.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for cognitive impairment in patients with sepsis.A nomogram model was constructed and its performance was verified through internal data.Results According to the MMSE scores,there were 60 patients were divided into the cognitive impairment group and 42 patients into the non-cognitive impairment group.The results of logistic regression analysis showed that age,educational level,the time of hospital stay,total hospitalization cost,chronic diseases,APACHEⅡ score,SOFA score,WBC,use of vasoac-tive drugs,indwelling urinary catheter,opening of artificial airway,medical devices,and clinical conditions were influencing factors for the occurrence of cognitive impairment(P＜0.05).The area under the receiver operating characteristic curve of the nomogram model for predicting the occurrence of cognitive dysfunction was 0.883.The predicted probability of the occurrence of cognitive impairment was highly similar to the actu-al situation,indicating that the predictive model had good discrimination and accuracy.Conclusion The nomo-gram risk model can predict the incidence of cognitive impairment in sepsis patients relatively well,which is beneficial to the early identification,early evaluation,early intervention and treatment of high-risk groups.
