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353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis

BACKGROUND: Diabetes is emerging as one of the complications of coronavirus disease 2019 (COVID-19), but this is hard to be revealed with cross-sectional studies since it is also known as the major predisposing factor for high-risk COVID-19. Therefore, this study aimed to estimate the risk of new-on...

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Autores principales: Hong, Kwan, Kim, Jeehyun, Yum, Sujin, Gómez, Raquel Elizabeth Gómez, Chun, Byung Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644348/
http://dx.doi.org/10.1093/ofid/ofab466.554
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author Hong, Kwan
Kim, Jeehyun
Yum, Sujin
Gómez, Raquel Elizabeth Gómez
Chun, Byung Chul
author_facet Hong, Kwan
Kim, Jeehyun
Yum, Sujin
Gómez, Raquel Elizabeth Gómez
Chun, Byung Chul
author_sort Hong, Kwan
collection PubMed
description BACKGROUND: Diabetes is emerging as one of the complications of coronavirus disease 2019 (COVID-19), but this is hard to be revealed with cross-sectional studies since it is also known as the major predisposing factor for high-risk COVID-19. Therefore, this study aimed to estimate the risk of new-onset diabetes after COVID-19 through a population follow-up study. METHODS: All COVID-19 confirmed cases in Korea from January 20 to June 4, 2020, were matched with national health insurance data and their health screening data, both provided by the National Health Insurance Service of Korea. Controls were selected as the people who received the PCR test for COVID-19 and showed negative results in the same period and followed up until July 19, 2020. We selected the outcome as the diagnosis of diabetes according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10, E10 – E14). People who were diagnosed with diabetes in the past five years were excluded from both groups. After performing a log-rank test between groups, adjusted incidence rate and hazard ratio were estimated using Cox proportional hazard modeling. Demographic characteristics (age, sex, region, family histories of hypertension/diabetes, and income) and underlying health conditions such as hypertension, dyslipidemia, heart disease, alcohol consumption, cigarette smoking, and BMI were adjusted. Proportional assumptions were tested by the zph test and the sensitivity analysis by excluding each factor in turn and comparing results. RESULTS: A total of 6,247 COVID-19 patients and 143,594 controls without diabetes in the past were included for the analysis. The number of new-onset diabetes were 759 (12.15%) in COVID-19 patients and 3,465 (2.41%) in controls (P < 0.01). The adjusted incidence of diabetes was 15.34 (95% confidence interval, CI: 14.10 – 16.66) and 11.18 (95% CI: 10.67 – 11.72) per 100 person-year, respectively, with the mean follow-up time as 46.31 (standard deviation: 16.37) days. The adjusted hazard ratio of diabetes in COVID-19 cases was 2.97 (95% CI: 2.44 – 3.63). CONCLUSION: Since COVID-19 patients showed a higher incidence of new-onset diabetes in a short-time follow-up, we should consider diabetes as one of the possible complications of COVID-19. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-86443482021-12-06 353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis Hong, Kwan Kim, Jeehyun Yum, Sujin Gómez, Raquel Elizabeth Gómez Chun, Byung Chul Open Forum Infect Dis Poster Abstracts BACKGROUND: Diabetes is emerging as one of the complications of coronavirus disease 2019 (COVID-19), but this is hard to be revealed with cross-sectional studies since it is also known as the major predisposing factor for high-risk COVID-19. Therefore, this study aimed to estimate the risk of new-onset diabetes after COVID-19 through a population follow-up study. METHODS: All COVID-19 confirmed cases in Korea from January 20 to June 4, 2020, were matched with national health insurance data and their health screening data, both provided by the National Health Insurance Service of Korea. Controls were selected as the people who received the PCR test for COVID-19 and showed negative results in the same period and followed up until July 19, 2020. We selected the outcome as the diagnosis of diabetes according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10, E10 – E14). People who were diagnosed with diabetes in the past five years were excluded from both groups. After performing a log-rank test between groups, adjusted incidence rate and hazard ratio were estimated using Cox proportional hazard modeling. Demographic characteristics (age, sex, region, family histories of hypertension/diabetes, and income) and underlying health conditions such as hypertension, dyslipidemia, heart disease, alcohol consumption, cigarette smoking, and BMI were adjusted. Proportional assumptions were tested by the zph test and the sensitivity analysis by excluding each factor in turn and comparing results. RESULTS: A total of 6,247 COVID-19 patients and 143,594 controls without diabetes in the past were included for the analysis. The number of new-onset diabetes were 759 (12.15%) in COVID-19 patients and 3,465 (2.41%) in controls (P < 0.01). The adjusted incidence of diabetes was 15.34 (95% confidence interval, CI: 14.10 – 16.66) and 11.18 (95% CI: 10.67 – 11.72) per 100 person-year, respectively, with the mean follow-up time as 46.31 (standard deviation: 16.37) days. The adjusted hazard ratio of diabetes in COVID-19 cases was 2.97 (95% CI: 2.44 – 3.63). CONCLUSION: Since COVID-19 patients showed a higher incidence of new-onset diabetes in a short-time follow-up, we should consider diabetes as one of the possible complications of COVID-19. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2021-12-04 /pmc/articles/PMC8644348/ http://dx.doi.org/10.1093/ofid/ofab466.554 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Hong, Kwan
Kim, Jeehyun
Yum, Sujin
Gómez, Raquel Elizabeth Gómez
Chun, Byung Chul
353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
title 353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
title_full 353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
title_fullStr 353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
title_full_unstemmed 353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
title_short 353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
title_sort 353. new-onset diabetes as an acute complication of covid-19: a national population cohort analysis
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644348/
http://dx.doi.org/10.1093/ofid/ofab466.554
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