Affiliation:
1. Department of Internal Medicine, Jalalabad Ragib Rabeya Medical College and Hospital, Sylhet, Bangladesh
2. Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
3. Department of Microbiology, Sylhet Woman’s Medical College, Sylhet, Bangladesh
Abstract
<b>Background:</b> In Bangladesh, fighting with the delta sub variety of SARS-CoV-2 was most difficult than its previous and following waves. The aim of this study is to shed light upon different risk factors of COVID-19 and their influences across age-groups inpatients in North-Eastern Districts.<br />
<b>Methods:</b> In this case control study, we included 75 positive and 24 negative patients admitted to Jalalabad Ragib Rabeya Medical College and Hospital, Sylhet, Bangladesh from 1<sup>st</sup> August to 30<sup>th </sup>September 2021. Different demographic, clinical and radiographic data were collected, analyzed, and compared between/among patients to assess diseases severity.<br />
<b>Results:</b> On average patients with COVID-19 were more likely to display remarkably 4, 1.3, and 1.5 times higher serum D-dimer, C-reactive protein, and ferritin level compared to non-COVID-19 people. Higher number of elderly inpatients from the age of 40; specially 60 years and older accounted for the abnormal rise of the aforesaid biochemical risk factors. This age range was also concerning for intensive care unit admission and multiple biomarker elevation. Nevertheless, the percentage of hospitalized COVID-19 patients with hypertension and diabetes is calculated 45% and 30.3%. Alarmingly, 96% of our patients showed COVID-19 assisted lung abnormalities diagnosed by computerized tomography scan and hither the order for degree of damage was bilateral consolidation>ground-glass opacity>pulmonary lesion>chronic obstructive pulmonary disease>cardiomegaly.<br />
<b>Conclusions: </b>Age is the principle demographic risk factor of COVID-19, and it has positive correlation with different hospital outcomes, biochemical risk factors, abnormal radiographic manifestations and comorbidities.
Reference44 articles.
1. WHO. World Health Organization coronavirus (COVID-19) dashboard: WHO coronavirus (COVID-19) dashboard with vaccination data. Available at: https://covid19.who.int/?mapFilter=deaths (Accessed: 23 January 2023).
2. Linkins LA, Takach Lapner S. Review of D-dimer testing: Good, bad, and ugly. Int J Lab Hematol. 2017;39(Suppl 1):98-103. doi:10.1111/ijlh.12665
3. Starke KR, Reissig D, Petereit-Haack G, Schmauder S, Nienhaus A, Seidler A. The isolated effect of age on the risk of COVID-19 severe outcomes: A systematic review with meta-analysis. BMJ Glob Health. 2021;6(12):e006434. doi:10.1136/bmjgh-2021-006434
4. Singh AK, Gupta R, Ghosh A, Misra A. Diabetes in COVID-19: Prevalence, pathophysiology, prognosis and practical considerations. Diabetes Metab Syndr. 2020;14(4):303-10. doi:10.1016/j.dsx.2020.04.004
5. Muhamad S-A, Ugusman A, Kumar J, Skiba D, Hamid AA, Aminuddin A. COVID-19 and hypertension: The what, the why, and the how. Front Physiol. 2021;12:665064. doi:10.3389/fphys.2021.665064