ArticleFrontiers in medicine2026
Risk factors and prediction model for mortality risk in older adults septic patients.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Background: The early identification of septic patients at high risk of mortality is essential for improving clinical outcomes. This study aimed to investigate the risk factors associated with 28-day mortality among older adults septic patients admitted to the intensive care unit (ICU) and to develop a predictive model based on these factors. Methods: A total of 165 older adults septic patients admitted to the ICU of our hospital between April 2022 and March 2025 were included in this study. Multivariate logistic regression analysis was employed to identify independent risk factors associated with mortality. A prediction model was subsequently constructed and evaluated using receiver operating characteristic (ROC) curve analysis, with the area under the curve (AUC) used to assess its predictive accuracy. Results: Among the 165 septic patients, 59 experienced 28-day mortality. Multivariate logistic regression analysis indicated that higher hemoglobin levels were associated with a reduced risk of 28-day mortality (odds ratio [OR]: 0.961; 95% confidence interval [CI]: 0.938-0.985; Conclusion: This exploratory study identified hemoglobin as a potentially useful biomarker for risk stratification in older septic patients. A simplified risk estimation approach based on hemoglobin demonstrated good preliminary discriminatory performance, but these findings should be interpreted with caution and require external validation in larger cohorts before clinical application.
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