Table 3.
Predictors of hospital admission according to logistic regression models.
| Model | ORa (95% CI) | P value | |||
| Model 1 | |||||
|
|
TeleCOVID-MG group | 0.73 (0.64-0.83) | <.001 | ||
| Model 2 | |||||
|
|
TeleCOVID-MG group | 0.64 (0.56-0.73) | <.001 | ||
|
|
City of flu syndrome notification (Teófilo Otoni) | 1.58 (1.44-1.73) | <.001 | ||
| Model 3 | |||||
|
|
TeleCOVID-MG group | 0.85 (0.74-0.97) | .02 | ||
|
|
City of flu syndrome notification (Teófilo Otoni) | 1.42 (1.29-1.56) | <.001 | ||
|
|
Male sex | 1.75 (1.59-1.92) | <.001 | ||
|
|
Age | 1.07 (1.07-1.08) | <.001 | ||
| Model 4 | |||||
|
|
TeleCOVID-MG group | 0.82 (0.71-0.94) | .005 | ||
|
|
City of flu syndrome notification (Teófilo Otoni) | 1.50 (1.36-1.65) | <.001 | ||
|
|
Male sex | 1.77 (1.61-1.95) | <.001 | ||
|
|
Age | 1.07 (1.07-1.07) | <.001 | ||
|
|
Chronic respiratory diseases | 1.14 (0.85-1.52) | .37 | ||
|
|
Chronic cardiovascular diseases | 1.35 (1.15-1.58) | <.001 | ||
|
|
Diabetes | 1.83 (1.54-2.17) | <.001 | ||
|
|
Chronic kidney disease | 2.18 (1.34-3.43) | .001 | ||
|
|
Immunosuppression | 1.87 (1.25-2.73) | .002 | ||
|
|
High-risk pregnancy | 3.32 (1.29-6.96) | .005 | ||
|
|
Chromosomal diseases | 1.33 (0.63-2.54) | .42 | ||
aOR: odds ratio.