Table 4.
Predictors of mortality according to logistic regression models.
| Model | ORa (95% CI) | P value | |||
| Model 1 | |||||
|
|
TeleCOVID-MG group | 0.83 (0.73-0.94) | .003 | ||
| Model 2 | |||||
|
|
TeleCOVID-MG group | 0.79 (0.69-0.89) | <.001 | ||
|
|
City of flu syndrome notification (Teófilo Otoni) | 1.2 (1.09-1.32) | <.001 | ||
| Model 3 | |||||
|
|
TeleCOVID-MG group | 1.01 (0.89-1.15) | .85 | ||
|
|
City of flu syndrome notification (Teófilo Otoni) | 1.07 (0.97-1.18) | .16 | ||
|
|
Male sex | 1.5 (1.37-1.65) | <.001 | ||
|
|
Age | 1.07 (1.06-1.07) | <.001 | ||
| Model 4 | |||||
|
|
TeleCOVID-MG group | 0.99 (0.86-1.12) | .83 | ||
|
|
City of flu syndrome notification (Teófilo Otoni) | 1.12 (1.02-1.24) | .02 | ||
|
|
Male sex | 1.52 (1.38-1.66) | <.001 | ||
|
|
Age | 1.06 (1.06-1.07) | <.001 | ||
|
|
Chronic respiratory diseases | 1.28 (0.96-1.67) | .08 | ||
|
|
Chronic cardiovascular diseases | 1.34 (1.14-1.57) | <.001 | ||
|
|
Diabetes | 1.51 (1.26-1.8) | <.001 | ||
|
|
Chronic kidney disease | 2.28 (1.41-3.54) | <.001 | ||
|
|
Immunosuppression | 2.37 (1.63-3.34) | <.001 | ||
|
|
High-risk pregnancy | 2.02 (0.71-4.45) | .13 | ||
|
|
Chromosomal diseases | 2.37 (1.28-4.1) | .004 | ||
aOR: odds ratio.