ArticleFrontiers in neurology2026
A nomogram prediction model for 30-day mortality risk in severe cerebral infarction patients integrating inflammation-related indicators and APACHE II score.
Article in Frontiers in neurology, 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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Abstract
Objective: To explore independent risk factors for 30-day all-cause mortality in severe cerebral infarction and construct a nomogram prediction model incorporating inflammation-related indicators and APACHE II score. Methods: A total of 312 patients with severe cerebral infarction from Chongqing University Qianjiang Hospital and 134 external validation cases from the First Affiliated Hospital of Changsha Medical University were retrospectively analyzed. Demographic, comorbidity, laboratory, and APACHE II data were collected from all patients. The endpoint was 30-day all-cause mortality. Univariate and multivariate logistic regression were used to identify independent risk factors, and a nomogram was developed. Results: In this cohort, age distribution differed notably between the two subgroups: participants who did not survive had a higher mean age than those who survived. Regarding clinical and laboratory markers, non-survivors exhibited elevated NIHSS scores, NLR, hs-CRP, IL-6 levels, and APACHE II scores when compared with survivors, and the between-group differences were statistically significant ( Conclusion: NIHSS, NLR, hs-CRP, IL-6, and APACHE II are independent risk factors for 30-day mortality in patients with severe cerebral infarction. The integrated model offers excellent predictive performance, aiding early risk screening and personalizing treatment.
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