PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
September 14, 2026BMC Emergency MedicineOpen Access

Predictors of mortality in patients with acute methanol intoxication: a retrospective analysis of clinical, laboratory, and radiological findings

View Full Paper
Ask AI
Bookmark
Share

Authors

HAHatice Zeynep AtlıZMZaur MehdiyevAKAyşe Müge Karcıoğlu

Discussion

Loading...

Member takes

Overview

Retrospective study demonstrates composite physiological severity scores predict mortality in acute methanol intoxication, indicating whole-body dysfunction outperforms single metabolic markers.

Key Points

  • To evaluate clinical, laboratory, and radiological predictors of in-hospital mortality among intensive care unit patients with acute methanol intoxication.
  • Retrospective analysis of 57 adult patients with acute methanol intoxication admitted to a tertiary ICU between December 2024 and March 2025.
  • Assessed predictive accuracy using receiver operating characteristic (ROC) curves with 1,000 bootstrap resamples, DeLong's test, and multivariable logistic regression restricted to two predictors.
  • In-hospital mortality was 50.9% (29/57); APACHE II achieved an AUC of 0.950 (95% CI 0.890–0.991; optimal cutoff > 23) and SOFA achieved an AUC of 0.895, with no significant difference between them (DeLong p = 0.201).
  • Composite severity scores significantly outperformed individual biomarkers in mortality discrimination, exceeding arterial pH (ΔAUC = 0.155, p = 0.011) and serum methanol (ΔAUC = 0.281, p < 0.001).
  • In multivariable logistic regression, APACHE II remained the sole significant predictor of death (OR = 1.346, 95% CI 1.152–1.572, p < 0.001; arterial pH: OR = 0.038, p = 0.134), while severe brain involvement carried 90.9% mortality in an exploratory subgroup (p = 0.005).

Cite This Study

Atlı et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b3580926e14a848b2363https://doi.org/10.1186/s12873-026-01775-6
View Full Paper
Ask AI
Bookmark
Share