Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis. Issue 4 (July 2020)

• Record Type: Journal Article
• Authors: Ghosal, Samit; Sinha, Binayak; Majumder, Milan; Misra, Anoop
• Is Part Of: Diabetes & metabolic syndrome. Volume 14:Issue 4(2020)
• Page Start: 319
• Page End: 323
• Publication Date: 2020-07
• Subjects: Diabetes -- Lockdown -- Disaster -- Multivariate regression analysis -- Complications; Diabetes -- Periodicals; Metabolism -- Disorders -- Periodicals; Diabetes Mellitus -- Periodicals; Metabolic Diseases -- Periodicals; Diabète -- Périodiques; Métabolisme, Troubles du -- Périodiques; Endocrinologie -- Périodiques; Diabète -- Physiopathologie -- Périodiques; Diabetes; Metabolism -- Disorders; Electronic journals; Periodicals; 616.462
• DOI: 10.1016/j.dsx.2020.03.014
• Languages: English
• ISSNs: 1871-4021

Abstract

Abstract: Introduction: and aims: To prevent the spread of coronavirus disease (COVID19) total lockdown is in place in India from March 24, 2020 for 21 days. In this study, we aim to assess the impact of the duration of the lockdown on glycaemic control and diabetes-related complications. Materials and methods: A systematic search was conducted using Cochrane library. A simulation model was created using glycemic data from previous disasters (taken as similar in impact to current lockdown) taking baseline HBA1c and diabetes-related complications data from India-specific database. A multivariate regression analysis was conducted to analyse the relationship between the duration of lockdown and glycaemic targets & diabetes-related complications. Results: The predictive model was extremely robust (R2 = 0.99) and predicted outcomes for period of lockdown up to 90 days. The predicted increment in HBA1c from baseline at the end of 30 days and 45 days lockdown was projected as 2.26% & 3.68% respectively. Similarly, the annual predicted percentage increase in complication rates at the end of 30-day lockdown was 2.8% for non-proliferative diabetic retinopathy, 2.9% for proliferative diabetic retinopathy, 1.5% for retinal photocoagulation, 9.3% for microalbuminuria, 14.2% for proteinuria, 2.9% for peripheral neuropathy, 10.5% for lower extremity amputation, 0.9% for myocardial infarction, 0.5% for stroke and 0.5% for infections. Conclusion: The duration of lockdown is directly proportional to the worsening of glycaemic control and diabetes-related complications. Such increase in diabetes-related complications will put additional load on overburdened healthcare system, and also increase COVID19 infections in patients with such uncontrolled glycemia. Highlights: A lockdown of India in an attempt to preventing the spread of the virus may adversely impact both diabetes control and associated complications by putting a restriction on the available resources. This is probably the first study to highlight that there is an increment in both the HBA1c as well as diabetes-related complications with increasing duration of a lockdown. Annualized rates of HBA1c increment and diabete-related complication are projected to increase in proportion to the duration of lockdown (in days).