Table 5 Logistic regression analysis for independent predictive factors of death and sequelae in methanol outbreak based on on-arrival sociodemographic variables.

From: A cross-sectional multicenter linkage study of hospital admissions and mortality due to methanol poisoning in Iranian adults during the COVID-19 pandemic

Variable

Beta

SE

OR (95% CI)

R#

P value

Death* (yes vs. no)

GCS <  = 9

4.57

0.66

100.00 (27.03–333.33)

0.622

 < 0.001

Age > 36

1.21

0.52

3.33 (1.21, 9.26)

Sequelae** (yes vs. no)

GCS <  = 9

1.30

0.48

3.31 (1.43, 9.33)

0.193

0.003

Age > 31

0.69

0.25

2.00 (1.22, 3.26)

Provinces other than East Azerbaijan

0.88

0.35

2.42 (1.22, 4.78)

  1. #Nagelkerke R Square.
  2. *All variables with p value less than 0.2 were entered in the model including: ingestion time to admission, age, province mortality rate (high vs. low), schooling categorization (more than 12 years; yes vs. no), Glasgow Coma Scale (GCS).
  3. **All variables with p value less than 0.2 were entered in the model including: ingestion time to admission, age, province sequelae rate (high vs. low), GCS.
Back to article page