• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2022, Volume: 15, Issue: 17, Pages: 806-810

Original Article

Evaluation of Covid Severity in Diabetic vs Non-Diabetic Individuals using CT Severity Score

Received Date:31 December 2021, Accepted Date:13 March 2022, Published Date:12 May 2022

Abstract

Background/Objectives: The Corona virus disease 2019 (Covid 19) pandemic has emerged as a great challenge to healthcare system with high rate of hospitalization and deaths. People with co morbidities such as diabetes are at increased risk of complications and Covid 19 associated deaths. The present study was done to evaluate Covid 19 severity among diabetic and nondiabetic patients using Chest CT severity score. Methods: A total of 106 Patients were subjected to standardized High Resolution Computed Tomography (HRCT) chest imaging. The analyzed images and Computed Tomography (CT) severity score was grouped into mild, moderate, severe and no lung involvement in both diabetic and nondiabetic group. Findings: Among the diabetic patients 39.47% showed CT severity score of 15-25 compared to 8.82% in nondiabetic patients. Lung involvement was observed in 89.47% diabetic compared to 88.24% nondiabetic patients. Novelty: Diffuse ground glass opacity involving all the lobes was observed among poorly controlled diabetic patients whereas patch ground glass opacity was observed among nondiabetic group. By chest CT severity scoring, the severity of lung involvement due to Covid 19 in Diabetes mellitus patients was found to be greater (39.47%) when compared to nondiabetic individual (8.82%).

Keywords: Computed Tomography chest imaging; Computed Tomography severity score; Diabetes mellitus; Lung involvement; Covid 19 severity

References

  1. Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity. 2020;109:102433. Available from: https://dx.doi.org/10.1016/j.jaut.2020.102433
  2. Walls AC, Park YJ, Tortorici MA, Wall A, McGuire AT, Veesler D. Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein. Cell. 2020;181(2):281–292.e6. Available from: https://dx.doi.org/10.1016/j.cell.2020.02.058
  3. Han Q, Guo M, Zheng Y, Zhang Y, De Y, Xu C, et al. Current Evidence of Interleukin-6 Signaling Inhibitors in Patients With COVID-19: A Systematic Review and Meta-Analysis. Frontiers in Pharmacology. 2020;11:615972. Available from: https://dx.doi.org/10.3389/fphar.2020.615972
  4. Katulanda P, Dissanayake HA, Ranathunga I, Ratnasamy V, Wijewickrama PSA, Yogendranathan N, et al. Prevention and management of COVID-19 among patients with diabetes: an appraisal of the literature. Diabetologia. 2020;63:1440–1452. Available from: https://dx.doi.org/10.1007/s00125-020-05164-x
  5. Chee YJ, Ng SJH, Yeoh E. Diabetic ketoacidosis precipitated by Covid-19 in a patient with newly diagnosed diabetes mellitus. Diabetes Research and Clinical Practice. 2020;164:108166. Available from: https://dx.doi.org/10.1016/j.diabres.2020.108166
  6. Sardu C, D’Onofrio N, Balestrieri ML, Barbieri M, Rizzo MR, Messina V, et al. Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control? . Diabetes Care. 2020;43:1408–1415. Available from: https://doi.org/10.2337/dc20-0723
  7. Sardu C, Gargiulo G, Esposito G, Paolisso G, Marfella R. Impact of diabetes mellitus on clinical outcomes in patients affected by Covid-19. Cardiovascular Diabetology. 2020;19(1):76. Available from: https://dx.doi.org/10.1186/s12933-020-01047-y
  8. Randeria SN, Thomson GJA, Nell TA, Roberts T, Pretorius E. Inflammatory cytokines in type 2 diabetes mellitus as facilitators of hypercoagulation and abnormal clot formation. Cardiovascular Diabetology. 2019;18:72. Available from: https://doi.org/10.1186/s12933-019-0870-9
  9. Marfella R, Paolisso P, Sardu C, Bergamaschi L, D’Angelo EC, Barbieri M, et al. Negative impact of hyperglycaemia on tocilizumab therapy in Covid-19 patients. Diabetes & Metabolism. 2020;46(5):403–405. Available from: https://dx.doi.org/10.1016/j.diabet.2020.05.005
  10. Carey IM, Critchley JA, Dewilde S, Harris T, Hosking FJ, Cook DG. Risk of infection in type1 and type2 diabetes compared with the general population: a matched cohort study. Diabetes Care. 2018;41(3):513–521. doi: 10.2337/dc17-2131
  11. Guo W, Li M, Dong Y. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metabolism Research and Reviews. 2020;p. e3319. Available from: https//doi:10.1002/dmrr.3319
  12. Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. Journal of Thrombosis and Haemostasis. 2020;18(4):844–847. Available from: https://dx.doi.org/10.1111/jth.14768
  13. Mrigpuri P, Sonal S, Spalgais S, Goel N, Menon B, Kumar R. Uncontrolled diabetes mellitus: A risk factor for post COVID fibrosis. Monaldi Archives for Chest Disease. 2021;91(1). Available from: https://dx.doi.org/10.4081/monaldi.2021.1607
  14. Guan Wj, Ni Zy, Hu Y, Liang Wh, Ou Cq, He Jx, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. New England Journal of Medicine. 2020;382(18):1708–1720. Available from: https://dx.doi.org/10.1056/nejmoa2002032
  15. Hu L, Chen S, Fu Y, Gao Z, Long H, Wang JM, et al. Risk factors associated with clinical outcomes in 323 COVID-19 hospitalized patients in Wuhan, China. Clinical Infectious Diseases. 2020. Available from: https//doi:10.1093/cid/ciaa539
  16. Huang R, Zhu L, Xue L, Liu L, Yan X, Wang J, et al. Clinical findings of patients with coronavirus disease 2019 in Jiangsu province, China: A retrospective, multi-center study. PLOS Neglected Tropical Diseases. 2020;14(5):e0008280. Available from: https://dx.doi.org/10.1371/journal.pntd.0008280
  17. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China. JAMA. 2020;323(11):1061. Available from: https://dx.doi.org/10.1001/jama.2020.1585
  18. Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: Clinical Insights and Vascular Mechanisms. Canadian Journal of Cardiology. 2018;34(5):575–584. Available from: https://dx.doi.org/10.1016/j.cjca.2017.12.005
  19. Rangankar V, Koganti DV, Lamghare P, Prabhu A, Dhulipala S, Patil P, et al. Correlation Between CT Severity Scoring and Diabetes Mellitus in Patients With COVID-19 Infection. Cureus. 2021;13(12):20199. Available from: https://dx.doi.org/10.7759/cureus.20199
  20. Al Argan R, Alkhafaji D, Al Elq A, Albaker W, Alqatari S, Alzaki A, et al. The Impact of Diabetes Mellitus and Hyperglycemia on the Severity and Outcome of Patients with COVID-19 Disease: A Single-Center Experience. International Journal of General Medicine. 2021;Volume 14:9445–9457. doi: 10.2147/ijgm.s338800
  21. Wang G, Wu C, Zhang Q, Wu F, Yu B, Lv J, et al. Epidemiological and Clinical Features of Corona Virus Disease 2019 (COVID-19) in Changsha, China. SSRN Electronic Journal. 2020. Available from: https://dx.doi.org/10.2139/ssrn.3548770

Copyright

© 2022 Raghavendra 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.

Published By Indian Society for Education and Environment (iSee)

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