Introduction:

The COVID-19 disease has had a great impact on our country; Although various variables that contribute to the prognosis of mortality and/or serious illness in patients have been documented, it is necessary to generate information that accounts for state specificities to contribute to decision-making in the face of imminent hospital saturation.

Objective:

To identify the comorbidities and clinical characteristics associated with mortality from COVID-19, in hospitalized patients in the state of Hidalgo, Mexico.

Material and method:

A descriptive and retrospective study was carried out. As a source of information, the COVID-19 open database of the General Directorate of Epidemiology of the Mexican Ministry of Health was used to perform three types of regression: probit, logit and Gaussian. The Gaussian model was the one with the best fit.

Results:

3,880 cases (1,696 deaths and 2,184 recovered) were analyzed and 4 comorbidities associated with mortality from COVID-19 were identified: obesity, hypertension, diabetes, and chronic kidney failure (CRF), as well as 2 clinical characteristics: sex and age.

Conclusions:

Hypertension, obesity, diabetes and CRF increase the probability of death. Among the comorbidities, CRF is the one with the greatest weight. Of the clinical characteristics analyzed, an association was found with sex and age, where age is the variable with the greatest weight in the model.