Obese communities among the best predictors of COVID-19-related deaths

Autor: Mariam Khaled-Ibn-El-Walid, Sara Senoussy, Hend Hesham, Aya Kamel, Odette Bahnan, Sherry Ghaly, Abeer Amin, Amr Gaballah, Rafeef Hozaien, Menna Habib, Antoine Fakhry AbdelMassih, Nada Hafez, Mai Moursi, Habiba-Allah Ismail, Kirollos Eshak, Mariam Khaled, Josephine Attallah, Mayan Mohy-El-Din, Esraa Menshawey, Ramy Ghaly, Marwa Tawfik, Bassant Heikal, Veronia Adel, Sousanna Farah, Mario Tarek, Passant Ismail
Rok vydání: 2020
Předmět:
Zdroj: Cardiovascular Endocrinology & Metabolism
ISSN: 2574-0954
DOI: 10.1097/xce.0000000000000218
Popis: Supplemental Digital Content is available in the text.
Introduction Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world since the Spanish flu in 1918. Visual examination of the world map shows a wide variation of death tolls between countries. The main goal of our series is to determine the best predictors of such discrepancy. Methods This is a retrospective study in which the rate of COVID-19 deaths was correlated with each of the following independent variables: total tests per 1 million population, gross domestic product (GDP), average temperatures per country, ultraviolet index, median age, average BMI per country, food supply, Bacille Calmette-Guerin compulsory status, and passenger traffic. Results BMI per country proved to be the second best predictor of death rate with an R value of 0.43, and GDP being the best predictor with R = 0.65. Conclusion This article shows a tight correlation between average BMI, food supply per country, and COVID-19-related deaths. Such predisposing factors might operate by upregulating the inflammation pathway in heavily struck countries, leading to easier triggering of the infamous cytokine storm syndrome. Obesity also increases cardiovascular and respiratory morbidities, which are coupled to increased ICU demand and deaths among infected cases. Video abstract: http://links.lww.com/CAEN/A25.
Databáze: OpenAIRE