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Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature.
Sachdeva, Sonali; Desai, Rupak; Gupta, Udita; Prakash, Anupam; Jain, Abhinav; Aggarwal, Ankita.
Afiliación
  • Sachdeva S; Department of Anesthesiology and Critical Care Medicine, Maulana Azad Medical College, New Delhi, India.
  • Desai R; Division of Cardiology, Atlanta VA Medical Center, 1670 Clairmont Rd, Decatur, GA USA.
  • Gupta U; Division of General Medicine, Lady Hardinge Medical College, New Delhi, India.
  • Prakash A; Division of General Medicine, Lady Hardinge Medical College, New Delhi, India.
  • Jain A; Department of Cardiology, Ascension Genesys Hospital, Grand Blanc, MI USA.
  • Aggarwal A; Department of Internal Medicine, Wayne State University, Detroit, MI USA.
SN Compr Clin Med ; 2(11): 2161-2166, 2020.
Article en En | MEDLINE | ID: mdl-33073173
ABSTRACT
In the latter part of 2019, a cluster of unexplained pneumonia cases were reported in Wuhan, China. In less than a year, SARS-CoV-2 has infected over 27 million people and claimed more than 800,000 deaths worldwide. Diabetes is a highly prevalent chronic metabolic disease, and recent reports have suggested a possible existence of COVID-19 related new-onset diabetes. Hyperglycemia induces an inflammatory state in the body, which coupled with coronavirus associated immune response is a possible explanation for clinical worsening of patients. We present a summary and pooled analysis of available evidence to ascertain the relationship between hyperglycemia in undiagnosed diabetics and outcomes of COVID-19 disease. Our results showed that hyperglycemia in non-diabetics was associated with higher risk of severe/critical illness (OR 1.837 (95% CI 1.368-2.465, P < 0.001) and mortality (2.822, 95% CI 1.587-5.019, P < 0.001) compared with those with normal values of blood glucose. The management of hyperglycemia in COVID-19 poses significant challenges in clinical practice, and the need to develop strategies for optimal glucose control in these patients cannot be overlooked.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: SN Compr Clin Med Año: 2020 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: SN Compr Clin Med Año: 2020 Tipo del documento: Article País de afiliación: India