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Clinical characteristics and risk factors for mortality of patients with COVID-19 in a large data set from Mexico
PURPOSE: The purpose of this study was to assess clinical characteristics and risk factors for mortality of patients with coronavirus disease 2019 (COVID-19) from Mexico, given that it currently is in active community transmission. METHODS: Multivariate logistic regression model and Kaplan–Meier sur...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426229/ https://www.ncbi.nlm.nih.gov/pubmed/32798701 http://dx.doi.org/10.1016/j.annepidem.2020.08.005 |
Sumario: | PURPOSE: The purpose of this study was to assess clinical characteristics and risk factors for mortality of patients with coronavirus disease 2019 (COVID-19) from Mexico, given that it currently is in active community transmission. METHODS: Multivariate logistic regression model and Kaplan–Meier survival curves were fitted to study odds of death of characteristics and comorbidities in patients with COVID-19 in Mexico. RESULTS: Age, sex, and the most frequent comorbidities diabetes, obesity, and hypertension were significantly associated to the risk of death by COVID-19 (P < .0001). Smoking habit was not identified as a risk factor for death. Less-frequent comorbidities such as chronic obstructive pulmonary disease, chronic kidney disease, and patients with immunosuppressed conditions also showed a significant risk for death (P < .0001). Hospitalized patients and those with pneumonia had serious risks for mortality (P < .0001), and more attention to specific conditions might be considered during clinical admission. CONCLUSIONS: A more vulnerable positive patient is depicted by a male patient, older than 41 years, which increases their risk with more prevalent comorbidities such as diabetes, hypertension, and obesity. Some implications on outcomes are discussed. |
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