LETTER
Increased Severity of COVID-19 in Patients with Newly Diagnosed Diabetes: A Public Health Priority
Thirunavukkarasu Sathish1, *
Article Information
Identifiers and Pagination:
Year: 2023Volume: 16
E-location ID: e187494452306210
Publisher ID: e187494452306210
DOI: 10.2174/18749445-v16-e230727-2023-2
Article History:
Received Date: 03/01/2023Revision Received Date: 16/05/2023
Acceptance Date: 31/05/2023
Electronic publication date: 07/08/2023
Collection year: 2023
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dear Editor,
The recently published article by Maheshwari A et al. [1] adds to the existing body of evidence that coronavirus disease-2019 (COVID-19) patients with newly diagnosed diabetes (NDD) experience more severe illness than those with preexisting diabetes (PD) [2-5]. However, the mechanisms explaining this surprising observation have not yet been completely identified ever since it was first reported by Li H et al. [6] during the pandemic's very early phase (Jan to Mar 2020).
In the study by Maheshwari A et al. of 1630 adults (≥18 years), 958 (58.8%) had PD, 224 (13.7%) had NDD, and 448 (27.5%) had no diabetes. Compared with patients with NDD, those with PD had significantly higher levels of parameters that contribute to the increased severity of COVID-19: mean random blood glucose (240.4 mg/dl vs. 309.5 mg/dl), HbA1c (6.7% vs. 8.1%), and age (50.8 vs. 52.7 years), and males (59.8% vs. 63.6%) and ≥4 comorbidities (0.9% vs. 21.1%). On the contrary, patients with NDD were significantly more likely to be hospitalized for COVID-19 treatment (82.6% vs. 45.4%), have a high chest computed tomography severity score (47.6% vs. 15.1%), and require oxygen support (74.0% vs. 42.7%) and steroids (85.3% vs. 74.4%) compared to those with PD. The authors, however, did not provide data on inflammatory markers, coagulation indices, and the use of anti-diabetes medications during hospitalization. Guidelines recommend using dipeptidyl peptidase-4 (DPP4) inhibitors and glucagon-like peptide 1 (GLP1) analogues (although with caution of avoiding dehydration) [7], as these drugs may reduce COVID-19 severity by their anti-inflammatory actions [8].
Possible mechanisms explaining the increased risk of severe COVID-19 in NDD patients include stress hyperglycemia, modulation of immune and inflammatory responses by acute hyperglycemia, lack of protective effect from metformin (as in PD patients), upregulation of angiotensin-converting enzyme 2 (ACE2) receptors on cells due to acute hyperglycemia (thereby facilitating virus entry into the cells), and occult or masked multi-organ damage due to the undiagnosed nature of NDD [4-6, 9-14].
An estimated 240 million people live with undiagnosed diabetes globally, which translates to almost one-in-two adults with diabetes being unaware of their condition [15]. More worryingly, nearly 90% of people with undiagnosed diabetes live in low- and middle-income countries such as India. Undiagnosed diabetes, in addition, to causing several diabetes-related complications [15], results in increased severity and mortality from COVID-19. Thus, detecting people with undiagnosed diabetes and treating them early is now a public health priority more than ever.
LIST OF ABBREVIATIONS
| NDD | = Newly Diagnosed Diabetes |
| COVID-19 | = Coronavirus Disease-2019 |
| PD | = Preexisting Diabetes |
| DPP4 | = Dipeptidyl Peptidase-4 |
| GLP1 | = Glucagon-like Peptide 1 |
| ACE2 | = Angiotensin-converting Enzyme 2 |
CONFLICT OF INTEREST
The author declares no conflict of interest financial or otherwise.
ACKNOWLEDGMENTS
Declared none.
