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Chest Computed Tomography (CT) and Clinical Findings Among COVID-19 Patients of Tertiary Hospital in Bangladesh

Tarek Shams, Jamil Haider Chowdhury, Hasna Hena Chowdhury, Qumrul Ahsan, Hrionmoy Dutta, Mohammad Ali Tareq, Lubna Shirin, Sanjida Akhter and Tania Islam

Pertanika Journal of Social Science and Humanities, Volume 31, Issue 5, August 2023

DOI: https://doi.org/10.47836/pjst.31.5.05

Keywords: COVID-19, CT scan, lung, radiological findings

Published on: 31 July 2023

Bangladesh has experienced a sharp rise in cases during the third wave of the COVID-19 pandemic. This study investigates chest computed tomography (CT) and clinical findings of COVID-19 patients in Bangladesh. It is a single-centred cross-sectional study conducted at Chittagong Ma O Shishu Hospital. In total, 242 COVID-19 patients were recruited between June 2020 and July 2021 from a tertiary hospital in Chittagong, Bangladesh—most patients had a fever (90%) and cough (74.7%). Only a few patients had dyspnoea (13.3%), body aches (3.6%), sore throat (0.4%), fatigue (0.8%), diarrhoea (1.2%), headache (2%), and anosmia (2%). Most (91.3%) patients had abnormal CT image findings. Findings revealed that 89.6% had bilateral lung patchy opacities, 84.3% had ground glass opacities and crazy paving appearance, 29.3% had consolidation, and 16.9% had traction bronchiectasis. Clinical features, i.e., fever (93.7%) and cough (78.3%), were significantly more common (P<0.05) among those with positive radiological findings compared to those with negative radiological findings. However, this found that patients with negative radiological findings were more likely to have body aches (4.8%) than those with positive radiological findings (P=0.012). Most patients had lung involvement. There was no statistically significant difference in the demographic and patient comorbidities between these two radiological groups. A Chest CT scan was the best radiological option for detecting the progression of COVID-19 in high-risk and low-risk groups to initiate early clinical management and prevent complications during the pandemic.

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ISSN 0128-7702

e-ISSN 2231-8534

Article ID

JST-3663-2022

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