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Predictors of Mortality in Methanol Poisoning: A Systematic Review and Meta-Analysis Publisher



Gheshlaghi F1 ; Rezaei MR2 ; Eizadimood N1 ; Fattahi F3 ; Nazarianpirdosti M4 ; Oskui AG5
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Authors Affiliations
  1. 1. Department of Clinical Toxicology, Isfahan Clinical Toxicology Research Center, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Emergency Medicine, School of Medicine, Taleghani Hospital, Imam Reza Hospital, Kermanshah University of Medical Science, Kermanshah, Iran
  3. 3. Department of Emergency Medicine, School of Medicine, Milad Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Department of Nursing, Rajaie Cardiovascular, Medical & Research Center, Iran University of Medical Science, Tehran, Iran
  5. 5. Department of Emergency Medicine, School of Medicine, Clinical Research Development Center of Taleghani Hospital, Clinical Research Development Center of Imam Reza Hospital, Kermanshah University of Medical Science, Kermanshah, Iran

Source: International Journal of Medical Toxicology and Forensic Medicine Published:2024


Abstract

Background: Today, methanol intoxication is increasing. Identifying mortality predictors has a significant correlation with poisoning progress. This meta-analysis study aimed to identify and evaluate mortality predictors for methanol poisoning. Methods: In this study, we searched electronic databases for case-control and cohort studies related to methanol poisoning. The quality of the studies was evaluated using the STROBE checklist. Comprehensive meta-analysis 3 was used to calculate the odds ratio (OR) and 95% CI of the factors present, as well as to perform heterogeneity, sensitivity, and publication bias assessments. Results: In this meta-analysis study, 14 out of 945 initial studies were included. The results identified 15 mortality predictors of methanol poisoning. The risk factors were ranked by the integrated OR values and included venous blood pH (OR=3.79, 95% CI, 2.42%, 5.19%), methanol concentration (OR=1.64, 95% CI, 1.05%, 2.55%), venous carbon dioxide pressure (PCO2) (OR=9.993, 95% CI, 5.80%, 17.18%), base deficit (OR=2.943, 95% CI, 1.20%, 7.165%), hemodialysis time (OR=2.69, 95% CI, 1.35%, 5.35%), blood sugar (OR=9.84, 95% CI=3.86, 25.09), venous bicarbonate (HCO3) (OR=2.97, 95% CI, 1.68%, 5.26%), creatinine (OR=13.10, 95% CI, 2.68%, 64.04%), potassium (K) (OR=3.51, 95% CI, 1.66%, 7.43%), alanine aminotransferase (OR=7.57, 95% CI, 1.03%, 55.57%), sodium (OR=6.69, 95% CI, 1.78%, 25.12%), white blood cells (OR=7.16, 95% CI, 1.42%, 36.16%), coma (OR=32.73, 95% CI, 18.59%, 56.70%), visual disturbances (OR=3.37, 95% CI, 1.59%, 7.16%), and gastrointestinal symptoms (OR=1.94, 95% CI, 1.16%, 3.22%). Conclusion: Identifying mortality predictors and disease progression in methanol intoxication patients can help doctors diagnose patients at risk better and faster to provide effective treatment interventions for them. © 2024 Shaheed Beheshti University of Medical Sciences and Health Services. All rights reserved.
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