Impact of SARS-CoV-2 on Progression of Glycemic and Cardiometabolic Variables and Changes in Insulin Indices: A Longitudinal Study.
Beta cell dysfunction
COVID-19
Diabetes
Obesity
SARS-CoV-2 infection
Journal
Diabetes therapy : research, treatment and education of diabetes and related disorders
ISSN: 1869-6953
Titre abrégé: Diabetes Ther
Pays: United States
ID NLM: 101539025
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
received:
17
08
2021
accepted:
17
09
2021
pubmed:
7
10
2021
medline:
7
10
2021
entrez:
6
10
2021
Statut:
ppublish
Résumé
We aimed to evaluate whether SARS-CoV-2 infection is associated with beta cell dysfunction and progression of glycemic and cardiometabolic variables in an established cohort. Study participants (n = 352, 46.9% men) underwent a detailed evaluation at two time points: (a) pre-COVID (2016-19) and (b) peri-COVID (2020-21). At the second visit, SARS-CoV-2 infection was determined on the basis of a quantitative S1/S2 IgG antibody test (DiaSorin Liaison) and/or a documented history of infection. A total of 159 (45.2%) participants were seropositive for SARS-CoV-2, of whom 122 (76.7%) had mild/asymptomatic infection. Progression in body mass index (BMI) category [34 (21.4%) vs. 22 (11.4%), p = 0.011] was seen in a significantly higher proportion of the participants in the infected group compared to the non-infected group. Progression in glycemic and insulin indices [homeostasis model assessment of insulin resistance (HOMA-IR), Matsuda index, and oral disposition index (oDI)] categories was also evident in a larger proportion of participants in the infected group; however, the difference was not statistically significant. On logistic regression analysis, the association between SARS-CoV-2 infection and BMI category progression was statistically significant [fully adjusted OR 2.14 (95% CI, 1.18-3.90; p = 0.013)]. In this longitudinal study, predominant mild/asymptomatic SARS-CoV-2 infection was associated with increase in BMI, but not with worsening of beta cell function and insulin resistance, nor glycemic progression.
Identifiants
pubmed: 34611859
doi: 10.1007/s13300-021-01158-z
pii: 10.1007/s13300-021-01158-z
pmc: PMC8491756
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3011-3023Informations de copyright
© 2021. The Author(s).
Références
WHO Coronavirus Disease (COVID-19) Dashboard. 2021. https://covid19.who.int/ . Accessed 15 Jul 2021.
Wang S, Ma P, Zhang S, et al. Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study. Diabetologia. 2020;63(10):2102–11.
doi: 10.1007/s00125-020-05209-1
Zhu L, She Z, Cheng X, et al. Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab. 2020;31:1–10.
doi: 10.1016/j.cmet.2020.04.021
Singh AK, Gillies CL, Singh R, et al. Prevalence of co-morbidities and their association with mortality in patients with COVID-19: a systematic review and meta-analysis. Diabetes Obes Metab. 2020;22(10):1915–24.
doi: 10.1111/dom.14124
Unsworth R, Wallace S, Oliver NS, et al. New-onset type 1 diabetes in children during COVID-19: multicenter regional findings in the U.K. Diabetes Care. 2020;43(11):e170–1.
Armeni E, Aziz U, Qamar S, et al. Protracted ketonaemia in hyperglycaemic emergencies in COVID-19: a retrospective case series. Lancet Diabetes Endocrinol. 2020;8(8):660–3. https://doi.org/10.1016/S2213-8587(20)30221-7 .
doi: 10.1016/S2213-8587(20)30221-7
pubmed: 32621809
pmcid: 7329282
Li J, Wang X, Chen J, Zuo X, Zhang H, Deng A. COVID-19 infection may cause ketosis and ketoacidosis. Diabetes Obes Metab. 2020;22(10):1935–41.
doi: 10.1111/dom.14057
Rubino F, Amiel SA, Zimmet P, et al. New-onset diabetes in Covid-19. N Engl J Med. 2020;383(8):789–90.
doi: 10.1056/NEJMc2018688
Ramachandran A, Ma RC, Snehalatha C. Diabetes in Asia. Lancet. 2010;375(9712):408–18.
doi: 10.1016/S0140-6736(09)60937-5
Staimez LR, Deepa M, Ali MK, Mohan V, Hanson RL, Narayan KMV. Tale of two Indians: heterogeneity in type 2 diabetes pathophysiology. Diabetes Metab Res Rev. 2019;35(8):e3192.
doi: 10.1002/dmrr.3192
Goyal A, Gupta Y, Kalaivani M, et al. Long term (>1 year) postpartum glucose tolerance status among Indian women with history of gestational diabetes mellitus (GDM) diagnosed by IADPSG criteria. Diabetes Res Clin Pract. 2018;142:154–61.
doi: 10.1016/j.diabres.2018.05.027
Goyal A, Gupta Y, Kalaivani M, et al. Concordance of glycaemic and cardiometabolic traits between Indian women with history of gestational diabetes mellitus and their spouses: an opportunity to target the household. Diabetologia. 2019;62(8):1357–65.
doi: 10.1007/s00125-019-4903-4
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.
doi: 10.1007/BF00280883
Phillips DIW, Clark PM, Hales CN, Osmond C. Understanding oral glucose tolerance: comparison of glucose or insulin measurements during the oral glucose tolerance test with specific measurements of insulin resistance and secretion. Diabet Med. 1994;11(3):286–92.
doi: 10.1111/j.1464-5491.1994.tb00273.x
Utzschneider KM, Prigeon RL, Faulenbach MV, et al. Oral disposition index predicts the development of future diabetes above and beyond fasting and two hour glucose levels. Diabet Care. 2009;32(2):335–41.
doi: 10.2337/dc08-1478
EB Calculator for Matsuda Index. 2021. http://mmatsuda.diabetes-smc.jp/MIndex.html . Accessed 10 Apr 2021.
Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999;22:1462–70.
doi: 10.2337/diacare.22.9.1462
The Hindu. COVID-19 vaccines for seniors and 45-plus with comorbidities from March. 2021. https://www.thehindu.com/news/national/covid-19-vaccination-for-senior-citizens-from-march-1/article33922897.ece . Accessed 10 Apr 2021.
American Diabetes Association. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes‐2020. Diabetes Care. 2020;43(Suppl 1):S14–31.
WHO. Obesity and overweight. 2021. https://www.who.int/news‐room/fact‐sheets/detail/obesity‐and‐overweight . Accessed 10 Apr 2021.
Chobanian AV, Bakris GL, Black HR, et al. The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289(19):2560–72.
doi: 10.1001/jama.289.19.2560
Bonelli F, Sarasini A, Zierold C, et al. Clinical and analytical performance of an automated serological test that identifies S1/S2-neutralizing IgG in COVID-19 patients semiquantitatively. J Clin Microbiol. 2020;58(9):e01224-e1320.
doi: 10.1128/JCM.01224-20
Sharma N, Sharma P, Basu S, et al. The seroprevalence and trends of SARS-CoV-2 in Delhi, India: a repeated population-based seroepidemiological study. medRxiv. 2020. https://doi.org/10.1101/2020.12.13.20248123 .
doi: 10.1101/2020.12.13.20248123
pubmed: 32935117
pmcid: 7491532
Wu CT, Lidsky PV, Xiao Y, et al. SARS-CoV-2 infects human pancreatic β cells and elicits β cell impairment. Cell Metab. 2021;33(8):1565–1576.e5.
Tang X, Uhl S, Zhang T, et al. SARS-CoV-2 infection induces beta cell transdifferentiation. Cell Metab. 2021;33(8):1577–1591.e7.
Petersen E, Koopmans M, Go U, et al. Comparing SARS-CoV-2 with SARS-CoV and influenza pandemics. Lancet Infect Dis. 2020;20(9):e238–44.
doi: 10.1016/S1473-3099(20)30484-9
Di Filippo L, De Lorenzo R, D'Amico M, et al. COVID-19 is associated with clinically significant weight loss and risk of malnutrition, independent of hospitalisation: a post-hoc analysis of a prospective cohort study. Clin Nutr. 2021;40(4):2420–6.
Logue JK, Franko NM, McCulloch DJ, et al. Sequelae in adults at 6 months after COVID-19 infection. JAMA Netw Open. 2021;4(2):e210830.
doi: 10.1001/jamanetworkopen.2021.0830
Pradhan A, Olsson PE. Sex differences in severity and mortality from COVID-19: are males more vulnerable? Biol Sex Differ. 2020;11(1):53.
doi: 10.1186/s13293-020-00330-7
Islam MR, Hoque MN, Rahman MS, et al. Genome-wide analysis of SARS-CoV-2 virus strains circulating worldwide implicates heterogeneity. Sci Rep. 2020;10(1):14004.
doi: 10.1038/s41598-020-70812-6