{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T12:47:14Z","timestamp":1770295634686,"version":"3.49.0"},"reference-count":25,"publisher":"Scientific Scholar","content-domain":{"domain":["clinicalimagingscience.org"],"crossmark-restriction":true},"short-container-title":["JCIS"],"abstract":"\nObjectives<\/jats:title>\nThis study aimed to find out the association of CT severity score with demographic and clinical characteristics as well as mortality in the patients who were confirmed to have COVID-19 disease in the second wave.<\/jats:p>\n<\/jats:sec>\n\nMaterial and Methods<\/jats:title>\nThis retrospective study included collection and assessment of the demographic, clinical, laboratory data, and mortality of the patients, suspected with COVID-19 infection who underwent chest HRCT scan during March to April 2021. The findings of the chest HRCT were retrieved manually from the Medical Records section. Determination of the severity was done by the scoring system that involved the visual evaluation of the affected lobes.<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nCT severity score was mild, moderate, and severe in 21.94%, 41.60%, and 30.48% patients, respectively. Mortality rate was 5.70%. Age of the patients with mild, moderate, and severe CT severity score was significantly more than those with normal severity score (50 vs. 50 vs. 50 vs. 31, P<\/jats:italic>=0.0009). When compared to patients with normal score, those with mild, moderate, and severe CT severity score had significantly higher dyspnoea (10.39% vs. 67.81% vs. 97.20% vs. 0%), significantly more cases with diabetes mellitus (16.88% vs. 25.34% vs. 31.78% vs. 9.52%, P<\/jats:italic>=0.044), hypertension (27.27% vs. 21.23% vs. 32.71% vs. 4.76%, P<\/jats:italic>=0.026), and obesity (6.49% vs. 8.90% vs. 23.36% vs. 0%, P<\/jats:italic>=0.0005). Total leucocyte counts, absolute neutrophil counts, creatinine, serum glutamic pyruvic transaminase (SGPT), lactate dehydrogenase (LDH), ferritin, and D-dimer were deranged in significantly more patients of severe score (53.27%, 62.62%, 60.75%, 85.05%, 90.65%, 97.20%, and 95.35%, respectively). Interleukin-6 (IL-6) and C-reactive protein were deranged in significantly more patients with moderate disease (98.18% and 98.63%, respectively). Increasing severity scores were associated with increased mortality (mild vs. moderate vs. severe: 1.30% vs. 1.37 vs. 15.89%, P<\/jats:italic><.0001). Oxygen saturation (SpO2<\/jats:sub>) was significantly lowest in severe score followed by moderate, mild and normal scores (87 vs. 90 vs. 96 vs. 97, P<\/jats:italic><.0001). Duration of non-rebreather mask (NRBM), noninvasive ventilation (NIV), high-flow nasal cannula (HFNC), Venture\/face mask, and intubation was also associated with increasing severity scores (P<\/jats:italic><0.0001).<\/jats:p>\n<\/jats:sec>\n\nConclusion<\/jats:title>\nCT scans play an important role in guiding physicians with their management plans and can serve as a predictor of disease severity and outcomes.<\/jats:p>\n<\/jats:sec>","DOI":"10.25259\/jcis_11_2022","type":"journal-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T12:55:01Z","timestamp":1651064101000},"page":"17","update-policy":"https:\/\/doi.org\/10.25259\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A retrospective study of association of CT severity with clinical profile and outcomes of patients with COVID-19 in the second wave"],"prefix":"10.25259","volume":"12","author":[{"given":"Neema","family":"Agarwal","sequence":"first","affiliation":[{"name":"Department of Radio Diagnosis, Government Institute of Medical Sciences, Kasna, Greater Noida, Uttar Pradesh, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Payal","family":"Jain","sequence":"additional","affiliation":[{"name":"Department of Medicine, Government Institute of Medical Sciences, Kasna, Greater Noida, Uttar Pradesh, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tooba Naved","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Radio Diagnosis, Government Institute of Medical Sciences, Kasna, Greater Noida, Uttar Pradesh, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aakash","family":"Raja","sequence":"additional","affiliation":[{"name":"Department of Radio Diagnosis, Government Institute of Medical Sciences, Kasna, Greater Noida, Uttar Pradesh, 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