Your browser doesn't support javascript.
loading
Preadmission predictors of severe COVID-19 in patients with diabetes mellitus.
Shukla, Alpana P; Tchang, Beverly G; Lam, Tiffany; Steller, Ian; Touhamy, Samir; Askin, Gulce; Mendelsohn Curanaj, Felicia A; Seley, Jane J; Lorber, Daniel; Safford, Monika M; Aronne, Louis J; Alonso, Laura C.
Affiliation
  • Shukla AP; Weill Cornell Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Comprehensive Weight Control Center, New York, NY 10065, USA. Electronic address: aps2004@med.cornell.edu.
  • Tchang BG; Weill Cornell Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Comprehensive Weight Control Center, New York, NY 10065, USA. Electronic address: bgt9001@med.cornell.edu.
  • Lam T; Weill Cornell Medical College, New York, NY 10065, USA. Electronic address: til4007@med.cornell.edu.
  • Steller I; Western University of Health Sciences, Lebanon, OR 97355, USA. Electronic address: ian.steller@westernu.edu.
  • Touhamy S; Weill Cornell Medical College, New York, NY 10065, USA. Electronic address: sat2032@med.cornell.edu.
  • Askin G; Weill Cornell Medicine, Department of Population Health Sciences, Division of Biostatistics, New York, NY 10065, USA.
  • Mendelsohn Curanaj FA; Weill Cornell Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY 10065, USA. Electronic address: fam9025@med.cornell.edu.
  • Seley JJ; Weill Cornell Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY 10065, USA. Electronic address: jas9067@med.cornell.edu.
  • Lorber D; Weill Cornell Medicine and New-York Presbyterian Hospital Queens, Department of Medicine, Division of Endocrinology, New York, NY 10065, USA. Electronic address: dll9004@nyp.org.
  • Safford MM; Weill Cornell Medicine, Department of Medicine, New York, NY 10065, USA. Electronic address: mms9024@med.cornell.edu.
  • Aronne LJ; Weill Cornell Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Comprehensive Weight Control Center, New York, NY 10065, USA. Electronic address: ljaronne@med.cornell.edu.
  • Alonso LC; Weill Cornell Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY 10065, USA. Electronic address: lca4001@med.cornell.edu.
J Diabetes Complications ; 35(8): 107967, 2021 08.
Article in En | MEDLINE | ID: mdl-34099384
ABSTRACT

OBJECTIVE:

To explore predictors of severe COVID-19 disease in patients with diabetes hospitalized for COVID-19.

METHODS:

This is a retrospective observational study of adults with diabetes admitted for COVID-19. Bivariate tests and multivariable Cox regression were used to identify risk factors for severe COVID-19, defined as a composite endpoint of intensive care unit admission/intubation or in-hospital death.

RESULTS:

In 1134 patients with diabetes admitted for COVID-19, more severe disease was associated with older age (HR 1.02, p<0.001), male sex (HR 1.28, p=0.017), Asian race (HR 1.34, p=0.029 [reference white]), and greater obesity (moderate obesity HR 1.59, p=0.015; severe obesity HR 2.07, p=0.002 [reference normal body mass index]). Outpatient diabetes medications were not associated with outcomes.

CONCLUSIONS:

Age, male sex, Asian race, and obesity were associated with increased risk of severe COVID-19 disease in adults with type 2 diabetes hospitalized for COVID-19.

SUMMARY:

In patients with type 2 diabetes hospitalized for COVID-19 disease, we observed that age, male sex, Asian race, and obesity predicted severe COVID-19 outcomes of intensive care unit admission, intubation, or in-hospital death. The risk conferred by obesity increased with worsening obesity. Outpatient diabetes medications were not observed to be significant predictors of study outcomes.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Admission / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: J Diabetes Complications Journal subject: ENDOCRINOLOGIA Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Admission / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: J Diabetes Complications Journal subject: ENDOCRINOLOGIA Year: 2021 Document type: Article
...