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Glucovigilance in COVID-19.
Lamptey, Roberta; Ahomagnon, Sédrick; Acheampong, Franklin; Kalra, Sanjay.
  • Lamptey R; Department of Family Medicine, Korle Bu Teaching Hospital, Accra, Ghana.
  • Ahomagnon S; Association Béninoise de Lutte contre l'Obésité, le Diabète et les Endocrinopathies (ABLODE), Republic of Benin.
  • Acheampong F; Research Unit, Korle Bu Teaching Hospital, Ghana.
  • Kalra S; Department of Endocrinology, Bharti Hospital, Karnal, India.
J Pak Med Assoc ; 70(Suppl 3)(5): S80-S82, 2020 May.
Article in English | MEDLINE | ID: covidwho-609371
ABSTRACT
The coronavirus disease (COVID-19) pandemic has influenced clinical care in unprecedented ways. There is an urgent need to share best practice in providing diabetes care services in areas affected by COVID. This is a brief review for clinicians managing diabetes in low-income countries based on currently available data. The data is rapidly evolving; however, people with diabetes and its related comorbidities have increased risk for severe disease, and prolonged recovery and mortality. This review is also informed by data from severe acute respiratory syndrome (SARS) caused by SARS coronavirus (SARS-CoV) and Middle East respiratory syndrome (MERS), caused by MERS coronavirus (MERS-CoV). These two viruses share similarities with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus with causes COVID-19. SARS-CoV-2 was also known as 2019-nCOV. We discuss glucovigilance in COVID-19, the challenges and the opportunities. We put a spotlight on investigational new drugs for treatment of COVID medications and virtual care. Diabetologists and clinicians handling high-volume diabetes clinics are at increased risk for contracting COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Diabetes Complications / Diabetes Mellitus / Pandemics / Betacoronavirus Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: J Pak Med Assoc Year: 2020 Document Type: Article Affiliation country: JPMA.15

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Diabetes Complications / Diabetes Mellitus / Pandemics / Betacoronavirus Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: J Pak Med Assoc Year: 2020 Document Type: Article Affiliation country: JPMA.15