Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation
We used a publicly available data of 44,672 patients reported by China’s centre for disease control to study the role of age, sex, co-morbidities and health-care related occupation on COVID-19 mortality. The data is in the form of absolute numbers and proportions. Using the percentages, retrospecti...
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doaj-09c14ab6cf824d26bb1c889cba000ac02020-11-25T03:17:14ZengPAGEPress PublicationsMonaldi Archives for Chest Disease1122-06432532-52642020-05-0190210.4081/monaldi.2020.1325Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupationShahir Asfahan0Kunal Deokar1Naveen Dutt2Ram Niwas3Priyank Jain4Mehul Agarwal5Department of Pulmonary Medicine, All India Institute of Medical Sciences, JodhpurDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, JodhpurDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, JodhpurDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, JodhpurDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, JodhpurDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, Jodhpur We used a publicly available data of 44,672 patients reported by China’s centre for disease control to study the role of age, sex, co-morbidities and health-care related occupation on COVID-19 mortality. The data is in the form of absolute numbers and proportions. Using the percentages, retrospective synthetic data of 100 survivors and 100 deaths were generated using random number libraries so that proportions of ages, genders, co-morbidities, and occupations were constant as in the original data. Logistic regression of the four predictor factors of age, sex, co-morbidities and occupation revealed that only age and comorbidities significantly affected mortality. Sex and occupation when adjusted for other factors in the equation were not significant predictors of mortality. Age and presence of co-morbidities correlated negatively with survival with co-efficient of -1.23 and -2.33 respectively. Odds ratio (OR) for dying from COVID-19 for every 10-year increase in age was 3.4 compared to the previous band of 10 years. OR for dying of COVID-19 was 10.3 for the presence of any of the co-morbidities. Our findings could help in triaging the patients in the emergency room and emphasize the need to protect the elderly and those with comorbidities from getting exposed. https://monaldi-archives.org/index.php/macd/article/view/1325COVID-19mortalitydeterminants |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shahir Asfahan Kunal Deokar Naveen Dutt Ram Niwas Priyank Jain Mehul Agarwal |
spellingShingle |
Shahir Asfahan Kunal Deokar Naveen Dutt Ram Niwas Priyank Jain Mehul Agarwal Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation Monaldi Archives for Chest Disease COVID-19 mortality determinants |
author_facet |
Shahir Asfahan Kunal Deokar Naveen Dutt Ram Niwas Priyank Jain Mehul Agarwal |
author_sort |
Shahir Asfahan |
title |
Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation |
title_short |
Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation |
title_full |
Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation |
title_fullStr |
Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation |
title_full_unstemmed |
Extrapolation of mortality in COVID-19: Exploring the role of age, sex, co-morbidities and health-care related occupation |
title_sort |
extrapolation of mortality in covid-19: exploring the role of age, sex, co-morbidities and health-care related occupation |
publisher |
PAGEPress Publications |
series |
Monaldi Archives for Chest Disease |
issn |
1122-0643 2532-5264 |
publishDate |
2020-05-01 |
description |
We used a publicly available data of 44,672 patients reported by China’s centre for disease control to study the role of age, sex, co-morbidities and health-care related occupation on COVID-19 mortality. The data is in the form of absolute numbers and proportions. Using the percentages, retrospective synthetic data of 100 survivors and 100 deaths were generated using random number libraries so that proportions of ages, genders, co-morbidities, and occupations were constant as in the original data. Logistic regression of the four predictor factors of age, sex, co-morbidities and occupation revealed that only age and comorbidities significantly affected mortality. Sex and occupation when adjusted for other factors in the equation were not significant predictors of mortality. Age and presence of co-morbidities correlated negatively with survival with co-efficient of -1.23 and -2.33 respectively. Odds ratio (OR) for dying from COVID-19 for every 10-year increase in age was 3.4 compared to the previous band of 10 years. OR for dying of COVID-19 was 10.3 for the presence of any of the co-morbidities. Our findings could help in triaging the patients in the emergency room and emphasize the need to protect the elderly and those with comorbidities from getting exposed.
|
topic |
COVID-19 mortality determinants |
url |
https://monaldi-archives.org/index.php/macd/article/view/1325 |
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