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

IF 1.3 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Cardiovascular Endocrinology & Metabolism Pub Date : 2020-06-11 eCollection Date: 2020-09-01 DOI:10.1097/XCE.0000000000000218

Antoine Fakhry AbdelMassih, Ramy Ghaly, Abeer Amin, Amr Gaballah, Aya Kamel, Bassant Heikal, Esraa Menshawey, Habiba-Allah Ismail, Hend Hesham, Josephine Attallah, Kirollos Eshak, Mai Moursi, Mariam Khaled-Ibn-ElWalid, Marwa Tawfik, Mario Tarek, Mayan Mohy-El-Din, Menna Habib, Nada Hafez, Odette Bahnan, Passant Ismail, Sara Senoussy, Sherry Ghaly, Sousanna Farah, Rafeef Hozaien, Veronia Adel, Mariam Khaled

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引用次数: 21

Abstract

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.

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肥胖社区是covid -19相关死亡的最佳预测指标之一。

2019冠状病毒病(COVID-19)是自1918年西班牙流感以来全球爆发的最大规模疫情。从世界地图上看，各国之间的死亡人数差别很大。本系列的主要目标是确定这种差异的最佳预测因子。方法:这是一项回顾性研究，其中COVID-19死亡率与以下每个自变量相关:每100万人的总检测次数、国内生产总值(GDP)、各国的平均气温、紫外线指数、年龄中位数、各国的平均BMI、食品供应、Bacille calmetet - guerin强制状态和客流量。结果:每个国家的BMI被证明是死亡率的第二最佳预测指标，R值为0.43,GDP是最佳预测指标，R = 0.65。结论:本文显示，平均体重指数、每个国家的食物供应与covid -19相关死亡之间存在密切相关性。在疫情严重的国家，这些易感因素可能通过上调炎症通路起作用，导致更容易触发臭名昭著的细胞因子风暴综合征。肥胖还会增加心血管和呼吸系统的发病率，这与ICU需求的增加和感染病例的死亡有关。视频摘要:http://links.lww.com/CAEN/A25。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cardiovascular Endocrinology & Metabolism CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

5.60

自引率

0.00%

发文量