Elevated glycohemoglobin is linked to critical illness in CoVID-19: a retrospective analysis.
COVID-19
diabetes
hemoglobin A1c
intensive care unit
mechanical ventilation
Journal
Therapeutic advances in infectious disease
ISSN: 2049-9361
Titre abrégé: Ther Adv Infect Dis
Pays: England
ID NLM: 101606715
Informations de publication
Date de publication:
Historique:
received:
27
02
2021
accepted:
04
06
2021
entrez:
12
7
2021
pubmed:
13
7
2021
medline:
13
7
2021
Statut:
epublish
Résumé
Several studies have explored hospitalization risk factors with the novel coronavirus disease 2019 (COVID-19) infection. Our goal was to identify clinical characteristics outside of laboratory or radiologic data associated with intubation or death within 7 days of admission. The first 436 patients admitted to the University of Colorado Hospital (Denver metropolitan area) with confirmed COVID-19 were included. Demographics, comorbidities, and select medications were collected by chart abstraction. Missing height for calculating body mass index (BMI) was imputed using the median height for patients' sex and race/ethnicity. Adjusted odds ratios (aOR) were estimated using multivariable logistic regression and a minimax concave penalty (MCP) regularized logistic regression explored prediction. Participants had a mean [standard deviation (SD)] age 55 (17), BMI 30.9 (8.2), 55% were male and 80% were ethnic/racial minorities. Increasing age [aOR: 1.24 (1.07, 1.45) per 10 years], higher BMI (aOR 1.03 (1.00, 1.06), and poorly controlled diabetes [hemoglobin A1C (HbA1c) ⩾ 8] (aOR 2.26 (1.24, 4.12) were significantly ( In a hospitalized patient cohort with COVID-19, worsening control of diabetes as evidenced by higher HbA1c was associated with increased risk of intubation or death within 7 days of admission. These results complement and help clarify previous associations found between diabetes and acute disease in COVID-19. Importantly, our analysis is missing some known predictors of severity in COVID-19. Our predictive model had limited success, suggesting unmeasured factors contribute to disease severity differences.
Sections du résumé
BACKGROUND
BACKGROUND
Several studies have explored hospitalization risk factors with the novel coronavirus disease 2019 (COVID-19) infection. Our goal was to identify clinical characteristics outside of laboratory or radiologic data associated with intubation or death within 7 days of admission.
METHODS
METHODS
The first 436 patients admitted to the University of Colorado Hospital (Denver metropolitan area) with confirmed COVID-19 were included. Demographics, comorbidities, and select medications were collected by chart abstraction. Missing height for calculating body mass index (BMI) was imputed using the median height for patients' sex and race/ethnicity. Adjusted odds ratios (aOR) were estimated using multivariable logistic regression and a minimax concave penalty (MCP) regularized logistic regression explored prediction.
RESULTS
RESULTS
Participants had a mean [standard deviation (SD)] age 55 (17), BMI 30.9 (8.2), 55% were male and 80% were ethnic/racial minorities. Increasing age [aOR: 1.24 (1.07, 1.45) per 10 years], higher BMI (aOR 1.03 (1.00, 1.06), and poorly controlled diabetes [hemoglobin A1C (HbA1c) ⩾ 8] (aOR 2.26 (1.24, 4.12) were significantly (
CONCLUSION
CONCLUSIONS
In a hospitalized patient cohort with COVID-19, worsening control of diabetes as evidenced by higher HbA1c was associated with increased risk of intubation or death within 7 days of admission. These results complement and help clarify previous associations found between diabetes and acute disease in COVID-19. Importantly, our analysis is missing some known predictors of severity in COVID-19. Our predictive model had limited success, suggesting unmeasured factors contribute to disease severity differences.
Identifiants
pubmed: 34249357
doi: 10.1177/20499361211027390
pii: 10.1177_20499361211027390
pmc: PMC8239973
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20499361211027390Subventions
Organisme : NIA NIH HHS
ID : R01 AG054366
Pays : United States
Informations de copyright
© The Author(s), 2021.
Déclaration de conflit d'intérêts
Conflict of interest statement: The authors declare that there is no conflict of interest.
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