Attapon Cheepsattayakorn1,2*, Ruangrong Cheepsattayakorn3 and Porntep Siriwanarangsun1
1Faculty of Medicine, Western University, Pathumtani Province, Thailand 210th Zonal Tuberculosis and Chest Disease Center, Chiang Mai, Thailand 3Department of Pathology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
*Corresponding Author: Attapon Cheepsattayakorn, 10th Zonal Tuberculosis and Chest Disease Center, Chiang Mai, Thailand.
Received: March 23, 2022; Published: March 30, 2022
Hyperglycemia and diabetes are risk factors for critical COVID-19 clinical outcomes [1]. Disproportionately, COVID-19 pandemic has affected increased-risk-of-severe-COVID-19 individuals [2]. During the COVID-19 pandemic, increased in number of type 1 diabetes diagnosed [3,4] and increased frequency and severity of diabetic ketoacidosis (DKA) at the time of diagnosis of diabetes [5] have been demonstrated in European pediatric populations. Independent of diabetic status, pre-diabetes and undiagnosed type 2 diabetes revealed increased risk of severe COVID-19, whereas intrahospital or de novo hyperglycemia predicted critical COVID-19 clinical outcomes [1]. Among individuals aged < 18 years with COVID-19 infection, there was an increased risk for diabetes supported by independent studies in COVID-19 adults [2]. A recent study demonstrated that COVID-19 patients with diabetes presented with more hyperglycemia, whereas type-2-diabetes patients with COVID-19 infection presented with more intensive-care-unit (ICU) need [6]. Another recent study revealed that lower blood glucose concentration, higher inflammatory biomarkers, and ICU admission were associated with diabetes diagnosed at the time of COVID-19 presentation [7].
Citation: Attapon Cheepsattayakorn., et al. “Risk for Newly Diagnosed Diabetes and Impact of Pre-diabetes and Undiagnosed Diabetes on Severity and Mortality for SARS-CoV-2 Infection". Acta Scientific Microbiology 5.5 (2022): 01-02.
Copyright: © 2022 Attapon Cheepsattayakorn., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.