A STUDY IN TO THE DISEASE SEVERITY AND THE CLINICO-RADIOLOGICAL FINDING IN COVID-19 CASES

Author:

SINGH RAVENDRA,JAIN SWAPNIL,DIWAN SHISH,SARRAF SHIVMOHAN,JULKA ARTI

Abstract

Objective: To study the disease severity and the clinical-radiological finding in COVID-19 patients. Methods: The study was carried out in the Department of Respiratory Medicine of R. D. Gardi Medical College, a tertiary care centre as well a Dedicated Covid Centre in the Ujjain district of MP. Results: A total of 107 patients with COVID-19 disease were assessed; the patients had a median age of 52 y and a mean age of 50.79±16.81 y. The most common clinical presentation were fever which was seen in 80(74.8%) cases, breathlessness (SOB) in 84(78.5%), cough in 71(66.4%), weakness in 29(27.1%), loss of smell in 34(31.8%) and loss of taste in 32(29.9%). The most common co-morbidity present in the study group was diabetes mellitus, which was present in 51(47.7%) cases. The chest radiograph of the patients revealed consolidation in 51(47.7%), GGOs in 29(27.1%), GGO with consolidation in 3(2.8%), reticular pattern in one case and 23(21.5%) cases had the normal pattern. Severity of disease was significantly associated with age of the patient. The typical findings of chest CT in the case of COVID-19 pneumonia include “bilateral, peripheral, and basal predominant ground-glass opacities with or without consolidation and broncho-vascular thickening, In addition, atypical findings are “cavitations, central upper lobe predominance, nodules, masses, tree-in bud sign, and lymphadenopathy A significant statistical correlation was found between CT severity score. Conclusion: The radiology played a very important part in the diagnosis and management of covid patients during the pandemic. The typical presentation of chest radiographs and HRCT thorax helped in diagnosing cases even when the RTPCR, RAT were negative or not available and chest CT severity score of patients positively correlated with clinical severity, inflammatory laboratory markers, especially the CRP, LDH, D-dimer and S. Ferritin and hence was very useful as an predictor of disease severity.

Publisher

Innovare Academic Sciences Pvt Ltd

Subject

General Medicine

Reference10 articles.

1. WHO. Novel corona virus–thailand (Ex-China). Geneva: World Health Organization; 2020. Available from: https://www.who.int/csr/don/14-january2020-novel-coronavirus-thailand/en/. [Last accessed on 23 Jan 2020]

2. Transmission of SARS-CoV-2: Implications for Infection Prevention Precautions. World Health Organization; 2020. Available from: https://www.who.int/news- room/commentaries/detail/transmission-of-sars-cov-2-implications-for-infection-prevention-precautions. [Last accessed on 27 Jun 2023]

3. World Health Organization website. Novel coronavirus: China. www.who.int/csr/don/12-january2020-novel-coronavirus-china/en/. [Last accessed 19 Jan 2020]

4. Stokes EK, Zambrano LD, Anderson KN, Marder EP, Raz KM, El Burai Felix S. Coronavirus disease 2019 case surveillance–United States. MMWR Morb Mortal Wkly Rep. 2020 Jun 19;69(24):759-65. doi: 10.15585/mmwr.mm6924e2, PMID 32555134.

5. Bhandari S, Rankawat G, Bagarhatta M, Singh A, Singh A, Gupta V. Clinico-radiological evaluation and correlation of CT chest images with progress of disease in covid-19 patients. J Assoc Physicians India. 2020;68(7):34-42. PMID 32602679.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3