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
{"title":"肥胖社区是covid -19相关死亡的最佳预测指标之一。","authors":"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","doi":"10.1097/XCE.0000000000000218","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>BMI per country proved to be the second best predictor of death rate with an <i>R</i> value of 0.43, and GDP being the best predictor with <i>R</i> = 0.65.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000218","citationCount":"21","resultStr":"{\"title\":\"Obese communities among the best predictors of COVID-19-related deaths.\",\"authors\":\"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\",\"doi\":\"10.1097/XCE.0000000000000218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>BMI per country proved to be the second best predictor of death rate with an <i>R</i> value of 0.43, and GDP being the best predictor with <i>R</i> = 0.65.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":43231,\"journal\":{\"name\":\"Cardiovascular Endocrinology & Metabolism\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2020-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1097/XCE.0000000000000218\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cardiovascular Endocrinology & Metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/XCE.0000000000000218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/9/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular Endocrinology & Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/XCE.0000000000000218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Obese communities among the best predictors of COVID-19-related deaths.
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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