1.Dynamic changes and time-dependent analysis of mortality risk factors in severe pneumonia patients
Wenkao ZHOU ; Lide SU ; Lingyan HUANG ; Ailin GUO ; Yimei PAN ; Zonghong LIU ; Yaben YAO
Chinese Journal of Emergency Medicine 2025;34(8):1071-1077
Objective:To analyze mortality risk factors in patients with severe pneumonia and investigate their varying influences across different time periods.Methods:A total of 134 patients with severe pneumonia admitted to the Emergency Department of Xiang’an Hospital, Xiamen University, between June 2019 and February 2020 were enrolled. All patients were treated in the EICU and followed up for four years. Based on outcomes, they were categorized into a death group ( n=77) and a survival group ( n=57). COX regression analysis was employed to identify mortality risk factors at different time points, while logistic regression analysis was used to assess risk factors influencing mortality during hospitalization, ICU stay, 1-month, and 1-year follow-up periods. Results:Mortality rates were 11.9% ( n=16) during ICU admission, 20.8% ( n=28) during hospitalization, 16.4% ( n=22) within 1 month, and 31.3% ( n=42) within 1 year. By the end of the follow-up, 57.4% ( n=77) of patients had died. Ten mortality risk factors were identified, with the number increasing over time. During ICU admission and hospitalization, significant risk factors included total bilirubin levels, APACHE-II score, invasive ventilation, ARDS, and vasopressor use in the ICU. One-month mortality risk additionally involved bacterial infection. One-year mortality risk further incorporated advanced age and chronic heart failure. By the end of follow-up, acute kidney injury (AKI) during ICU admission also emerged as a contributing factor, while higher body weight was identified as a protective factor. Conclusions:The number of mortality risk factors in severe pneumonia patients increases progressively over time. Early-stage factors during hospitalization and ICU admission exert a stronger impact on short-term mortality, whereas bacterial infection, advanced age, and chronic heart failure become increasingly significant in later stages. These findings highlight the dynamic nature of risk factors and underscore the importance of tailored monitoring and intervention strategies at different disease phases.
2.Screening effects of Montreal Cognitive Assessment for sepsis associated encephalopathy
Jiaquan LIU ; Zili ZHANG ; Dequan KONG ; Chengbin YANG ; Yuzhen WU ; Yaben YAO ; Weicheng WU ; Mandong PAN ; Jiyan LIN
Chinese Journal of General Practitioners 2012;11(9):680-682
A total of 192 patients with sepsis were tested by Montreal Cognitive Assessment (MoCA) for a preliminary diagnosis of whether or not there was sepsis associated encephalopathy (SAE) according to their test results.SAE was diagnosed or excluded after consultations and comprehensive analysis on the basis of clinical manifestations and auxiliary examination results.The scores of the patients in this group were (25.7 ± 3.3) points.The sensitivity of MoCA for screening SAE was 0.776 and its specificity 0.963.The rate of diagnostic coincidence between MoCA and comprehensive analysis for SAE was 0.880.The diagnostic concordance between two diagnostic methods of SAE was excellent (kappa value =0.753 ± 0.048,P =0.000).The area under the receiver operating characteristic (ROC) curve of MoCA for screening SAE was 0.929 ± 0.019 (P =0.000) ; the optimal cutoff value was 25.5 points; and its sensitivity was 0.779 and specificity 0.962.And negative correlations existed between score of MoCA and age,disease course and co-existing shock or multiple organ dysfunction syndrome (P < 0.05).

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