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◆ BMC Nutrition2025-11-27· Medicine

Association between prognostic nutritional index and 90-day mortality in septic patients: a retrospective cohort study

Mingjie Xie, Liuyun Huang, Ling Li, Yuanyuan Qin, Baofu Feng, Qingqing Cai, Debin Huang

原始摘要(英文原文)· Original abstract
This study aimed to investigate the association between the Prognostic Nutritional Index (PNI) and 90-day mortality among patients with sepsis. We conducted a retrospective cohort study utilizing data from the MIMIC-IV database for patients diagnosed with sepsis. Covariates were selected using Cox regression models. The association between PNI and 90-day mortality was assessed using multivariable Cox proportional hazards models. We further examined the potential nonlinear relationship using restricted cubic spline(RCS) analysis. Kaplan-Meier survival curves were plotted for these groups, and the differences in 90-day survival rates were compared using the log-rank test. A total of 5,786 septic patients were included in the final analysis. The overall 90-day mortality rate after ICU admission was 35.0% ( n = 2,027). In the fully adjusted Cox model, a higher PNI was associated with a reduced risk of 90-day mortality. Specifically, for each one-unit increase in PNI, the risk of 90-day mortality decreased by 1% (adjusted HR = 0.99, 95% CI: 0.98 ~ 1.00, P = 0.004). The RCS analysis revealed a significant nonlinear relationship between PNI and 90-day mortality ( P nonlinearity < 0.001). The log-rank test confirmed a statistically significant difference in survival curves between the low and high PNI groups ( P < 0.0001). PNI demonstrates a significant nonlinear inverse association with 90-day mortality in patients with sepsis. These findings suggest that PNI could serve as a valuable prognostic tool. Clinicians may use PNI to identify high-risk patients and implement targeted interventions to potentially improve clinical outcomes.
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Association between prognostic nutritional index and 90-day mortality in septic patients: a retrospective cohort study — 科研速览 Science Skim