Construction of a predictive model for the severity of sepsis based on APACHE Ⅱ score, IL-6, and T lymphocyte subsets
Journal Title: Chinese Journal of Clinical Research - Year 2024, Vol 37, Issue 11
Abstract
Objective To construct a predictive model for the severity of sepsis using the Acute Physiology and Chronic Health EvaluationⅡ (APACHEⅡ) score, interleukin-6 (IL-6), and T lymphocyte subsets, and to evaluate the model's effectiveness. Methods A total of 225 patients with sepsis admitted to the Anqing Municipal Hospital from January 2021 to September 2023 were selected as the study subjects. IL-6, T lymphocyte subsets (CD4+, CD8+, CD4+/CD8+), C-reactive protein (CRP), procalcitonin (PCT), and APACHEⅡ scores were measured within 24 hours after diagnosis. Based on the Sepsis-3.0 diagnostic criteria, patients were divided into the sepsis group (109 cases) and the septic shock group (116 cases). Logistic regression analysis was used to select variables and construct a predictive model for the severity of sepsis. Calibration plots and decision curve analysis were employed to evaluate the model's fit and clinical value. Results The levels of CD4+ and CD4+/CD8+ in the septic shock group were lower than those in the sepsis group, while CRP, PCT, IL-6, and APACHEⅡ scores were higher in the septic shock group than in the sepsis group (P＜0.05). The constructed predictive model was as follows: ln［P/(1-P)］=0.999+0.054×APACHEⅡ score-0.054×CD4+-0.18×CD4+/CD8++0.001×IL-6. Calibration plots and decision curve analyses indicated that the model had good fit and clinical value. Conclusion The predictive model composed of CD4+, CD4+/CD8+, IL-6, and APACHEⅡ score can be used for early assessment of the severity of sepsis, providing assistance for clinical diagnosis and treatment.
Authors and Affiliations
LU Xing, FANG Changtai, LI Xiaoqian, CHEN Yuanyuan, ZHA Jiaan *Intensive Care Unit, Anqing Municipal Hospital, Anqing, Anhui 246003, China
Keywords
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- EP ID EP751743
- DOI 10.13429/j.cnki.cjcr.2024.11.012
- Views 40
- Downloads 0
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