Disciplines
Applied Statistics | Biostatistics | Categorical Data Analysis | Multivariate Analysis | Other Statistics and Probability | Probability | Statistical Models | Survival Analysis
Abstract (300 words maximum)
The purpose of this study is to characterize the clinical features and risk factors for COVID-19 mortality in Mexico. The information utilized in this study was made available by the SISVER of MoH (Ministry of Health) and includes COVID-19 patients diagnosed between January 29, 2020 and August 16, 2021. Chi-square tests, Kaplan-Meier curves, and multivariate logistic regression models using a generalized estimation equation were used to evaluate the COVID-19 mortality risk. We find that the risk of dying from COVID-19 is strongly linked with sex, age, and the three most frequently observed comorbidities (hypertension, diabetes, and obesity) (P < 0.0001, OR > 1.0). End-stage renal disease, chronic obstructive pulmonary disease, immunosuppression, and asthma are all found to be associated with COVID-19 patient deaths (P < 0.0001). Smoking use is also found to be a significant risk factor for mortality (P < 0.0001) in patients positive for COVID-19. ICU admission, patient intubation, and pneumonia diagnosis are all found to be associated with a significantly higher risk of mortality (P < 0.0001) in COVID-19 patients. Male patients over the age of 41 years who smoked were more susceptible to hospitalization and mortality as a result of COVID-19.
Academic department under which the project should be listed
CCSE - Data Science and Analytics
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Primary Investigator (PI) Name
Mohammed Chowdhury
Incidence, Prevalence and Deaths of COVID-19 in Mexico from January 2020 to August 2021.
The purpose of this study is to characterize the clinical features and risk factors for COVID-19 mortality in Mexico. The information utilized in this study was made available by the SISVER of MoH (Ministry of Health) and includes COVID-19 patients diagnosed between January 29, 2020 and August 16, 2021. Chi-square tests, Kaplan-Meier curves, and multivariate logistic regression models using a generalized estimation equation were used to evaluate the COVID-19 mortality risk. We find that the risk of dying from COVID-19 is strongly linked with sex, age, and the three most frequently observed comorbidities (hypertension, diabetes, and obesity) (P < 0.0001, OR > 1.0). End-stage renal disease, chronic obstructive pulmonary disease, immunosuppression, and asthma are all found to be associated with COVID-19 patient deaths (P < 0.0001). Smoking use is also found to be a significant risk factor for mortality (P < 0.0001) in patients positive for COVID-19. ICU admission, patient intubation, and pneumonia diagnosis are all found to be associated with a significantly higher risk of mortality (P < 0.0001) in COVID-19 patients. Male patients over the age of 41 years who smoked were more susceptible to hospitalization and mortality as a result of COVID-19.