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Central Asian journal of global health · 2020

Clinical Data, Comorbidities, and Mortality of COVID-19 in the State of Guanajuato, Mexico until May 20, 2020.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Padilla-Raygoza Nicolás, Navarro-Olivos Efraín, de Jesús Gallardo-Luna María, Magos-Vázquez Francisco J, Alberto Díaz-Martínez Daniel, Sandoval-Salazar Cuauhtémoc, Antonio Díaz-Becerril Luis

Аннотация

INTRODUCTION: In December 2019, cases of pneumonia of unknown cause arose in Wuhan, China. The causative agent was subsequently identified as 2019-nCoV and later called SARS-CoV-2. In Mexico, since January 2020 when the first cases were reported, the spread of the infection has occurred throughout the country. The state of Guanajuato, which is located in the center of the country, has taken isolation measures and closed public places in March 2020. The objective of this study was to analyze the evolution, symptoms, co-morbidities and deaths due to confirmed cases of COVID-19.

METHODS: An ecological study was designed from the database of confirmed cases of COVID-19 in the state of Guanajuato. Odds ratios and 95% confidence intervals were calculated for symptoms and co-morbidities in deaths of confirmed cases. Logistic regression models were generated adjusting for age group and gender.

RESULTS: Among the 838 confirmed cases in the state, cases with dyspnea and cyanosis showed more significant effect on death. Age group and gender had little involvement as confounders. For practically all comorbidities (including diabetes, hypertension, cardiovascular disease, chronic kidney disease, and immunosuppression), there was a significant effect (odds ratio greater than 2) on mortality from COVID-19. Age group showed a confounding effect on comorbidities and death, but not gender.

CONCLUSIONS: The confirmed cases had more than twice the possibility of having comorbidities, compared with those who did not die.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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