جستجوی مقالات مرتبط با کلیدواژه "wood alcohol" در نشریات گروه "پزشکی"

 Methanol-poisoning can be a challenging cause of mortality. Identifying the epidemiological, clinical, and para-clinical determinants of outcome in methanol-poisoning patients could be a step forward to its management.

 In this hospital-based cohort study, 123 methanol-poisoning patients were included. Data on background variables, details of methanol consumption, and laboratory assessments were recorded for each patient. Patients underwent brain CT scans without contrast. We evaluated the association of all gathered clinical and para-clinical data with patients’ outcome and length of hospital stay (LOS). Independent association of potential determinants of death, and LOS were modeled applying multivariable logistic, and Ordinary Least Square regressions, respectively. Odds ratio (OR), and regression coefficient (RC), and their 95% confidence intervals (CIs) were estimated.

 Most of the study population were male (n=107/123). The mean age of the participants was 30.3±9.1 years. Ninety patients (73.2%) were reported as being conscious on admission, and 34.3% of patients were identified with at least one abnormality in their CT scan. Level of consciousness (LOC) (OR: 42.2; 95% CI: 2.35-756.50), and blood pH (OR: 0.37; 95% CI: 0.22-0.65) were associated with death. Supratentorial edema (RC: 17.55; 95% CI: 16.95-18.16) were associated with LOS.

 Besides LOC, patients with any abnormality in their brain CT scan on admission were found to be at higher risk of death, and patients with supratentorial edema were at risk of longer LOS. Brain CT-scan on admission should be considered as a part of the routine procedure during the management of methanol-poisoning.

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.

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.

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%).

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.