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Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study

AIM: This study’s objective was to assess the risk of severe in-hospital complications of patients admitted for COVID-19 and diabetes mellitus (DM). DESIGN: This was a cross-sectional study. SETTINGS: We used pseudonymised medical record data provided by six general hospitals from the HM Hospitales...

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Autores principales: Ortega, Emilio, Corcoy, Rosa, Gratacòs, Mònica, Cos Claramunt, Francesc Xavier, Mata-Cases, Manel, Puig-Treserra, Ramon, Real, Jordi, Vlacho, Bogdan, Castelblanco, Esmeralda, Domingo, Pere, Khunti, Kamlesh, Franch-Nadal, Josep, Mauricio, Didac
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300551/
https://www.ncbi.nlm.nih.gov/pubmed/34301668
http://dx.doi.org/10.1136/bmjopen-2021-051237
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author Ortega, Emilio
Corcoy, Rosa
Gratacòs, Mònica
Cos Claramunt, Francesc Xavier
Mata-Cases, Manel
Puig-Treserra, Ramon
Real, Jordi
Vlacho, Bogdan
Castelblanco, Esmeralda
Domingo, Pere
Khunti, Kamlesh
Franch-Nadal, Josep
Mauricio, Didac
author_facet Ortega, Emilio
Corcoy, Rosa
Gratacòs, Mònica
Cos Claramunt, Francesc Xavier
Mata-Cases, Manel
Puig-Treserra, Ramon
Real, Jordi
Vlacho, Bogdan
Castelblanco, Esmeralda
Domingo, Pere
Khunti, Kamlesh
Franch-Nadal, Josep
Mauricio, Didac
author_sort Ortega, Emilio
collection PubMed
description AIM: This study’s objective was to assess the risk of severe in-hospital complications of patients admitted for COVID-19 and diabetes mellitus (DM). DESIGN: This was a cross-sectional study. SETTINGS: We used pseudonymised medical record data provided by six general hospitals from the HM Hospitales group in Spain. OUTCOME MEASURES: Multiple logistic regression analyses were used to identify variables associated with mortality and the composite of mortality or invasive mechanical ventilation (IMV) in the overall population, and stratified for the presence or absence of DM. Spline analysis was conducted on the entire population to investigate the relationship between glucose levels at admission and outcomes. RESULTS: Overall, 1621 individuals without DM and 448 with DM were identified in the database. Patients with DM were on average 5.1 years older than those without. The overall in-hospital mortality was 18.6% (N=301), and was higher among patients with DM than those without (26.3% vs 11.3%; p<0.001). DM was independently associated with death, and death or IMV (OR=2.33, 95% CI: 1.7 to 3.1 and OR=2.11, 95% CI: 1.6 to 2.8, respectively; p<0.001). In subjects with DM, the only variables independently associated with both outcomes were age >65 years, male sex and pre-existing chronic kidney disease. We observed a non-linear relationship between blood glucose levels at admission and risk of in-hospital mortality and death or IMV. The highest probability for each outcome (around 50%) was at random glucose of around 550 mg/dL (30.6 mmol/L), and the risks flattened above this value. CONCLUSION: The results confirm the high burden associated with DM in patients hospitalised with COVID-19 infection, particularly among men, the elderly and those with impaired kidney function. Moreover, hyperglycaemia on admission was strongly associated with poor outcomes, suggesting that personalised optimisation could help to improve outcome during the hospital stay.
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spelling pubmed-83005512021-07-23 Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study Ortega, Emilio Corcoy, Rosa Gratacòs, Mònica Cos Claramunt, Francesc Xavier Mata-Cases, Manel Puig-Treserra, Ramon Real, Jordi Vlacho, Bogdan Castelblanco, Esmeralda Domingo, Pere Khunti, Kamlesh Franch-Nadal, Josep Mauricio, Didac BMJ Open Diabetes and Endocrinology AIM: This study’s objective was to assess the risk of severe in-hospital complications of patients admitted for COVID-19 and diabetes mellitus (DM). DESIGN: This was a cross-sectional study. SETTINGS: We used pseudonymised medical record data provided by six general hospitals from the HM Hospitales group in Spain. OUTCOME MEASURES: Multiple logistic regression analyses were used to identify variables associated with mortality and the composite of mortality or invasive mechanical ventilation (IMV) in the overall population, and stratified for the presence or absence of DM. Spline analysis was conducted on the entire population to investigate the relationship between glucose levels at admission and outcomes. RESULTS: Overall, 1621 individuals without DM and 448 with DM were identified in the database. Patients with DM were on average 5.1 years older than those without. The overall in-hospital mortality was 18.6% (N=301), and was higher among patients with DM than those without (26.3% vs 11.3%; p<0.001). DM was independently associated with death, and death or IMV (OR=2.33, 95% CI: 1.7 to 3.1 and OR=2.11, 95% CI: 1.6 to 2.8, respectively; p<0.001). In subjects with DM, the only variables independently associated with both outcomes were age >65 years, male sex and pre-existing chronic kidney disease. We observed a non-linear relationship between blood glucose levels at admission and risk of in-hospital mortality and death or IMV. The highest probability for each outcome (around 50%) was at random glucose of around 550 mg/dL (30.6 mmol/L), and the risks flattened above this value. CONCLUSION: The results confirm the high burden associated with DM in patients hospitalised with COVID-19 infection, particularly among men, the elderly and those with impaired kidney function. Moreover, hyperglycaemia on admission was strongly associated with poor outcomes, suggesting that personalised optimisation could help to improve outcome during the hospital stay. BMJ Publishing Group 2021-07-22 /pmc/articles/PMC8300551/ /pubmed/34301668 http://dx.doi.org/10.1136/bmjopen-2021-051237 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Diabetes and Endocrinology
Ortega, Emilio
Corcoy, Rosa
Gratacòs, Mònica
Cos Claramunt, Francesc Xavier
Mata-Cases, Manel
Puig-Treserra, Ramon
Real, Jordi
Vlacho, Bogdan
Castelblanco, Esmeralda
Domingo, Pere
Khunti, Kamlesh
Franch-Nadal, Josep
Mauricio, Didac
Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study
title Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study
title_full Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study
title_fullStr Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study
title_full_unstemmed Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study
title_short Risk factors for severe outcomes in people with diabetes hospitalised for COVID-19: a cross-sectional database study
title_sort risk factors for severe outcomes in people with diabetes hospitalised for covid-19: a cross-sectional database study
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300551/
https://www.ncbi.nlm.nih.gov/pubmed/34301668
http://dx.doi.org/10.1136/bmjopen-2021-051237
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