Radiological and Clinical Correlation of Chest X-Ray as a First Tool of Imaging in COVID-19 Patients

Authors

  • Talha Khalid, Farah Bano, Noreen Saleem

DOI:

https://doi.org/10.53350/pjmhs221651287

Keywords:

COVID-19, Patients, CXR, Health, Pneumonia

Abstract

Introduction: COVID-19 began to appear and spread from the city of Wuhan, China, in December 2019 around the world very quickly. Objectives: The main objective of the study is to find the radiological and clinical correlation of chest x-ray as a first tool of imaging in COVID-19 patients.

Material and methods: This retrospective study was conducted in Jinnah Hospital Lahore During 2021. The data was collected from 100 COVID-19 patients. All the patients are confirmed for COVID-19 through chest X-ray (CXR). The data include all the demographic and disease profile (CBC, LFT’s, RFT’s, CXR).

Results: The data was collected from 100 confirmed COVID-19 patients. There were 56 males and 44 females. The mean age was 34.56 ± 5.67 years. 46 patients were symptomatic and 54 patients were asymptomatic. Cough and fever were the most frequent symptoms. The most common co-morbidities among the patients were hypertension (15.9%) and diabetes (10.2%).

Conclusion: It is concluded that chest radiograph can be used as an adjunctive prognostic indicator, in addition to other clinical information and laboratory tests, in guiding further treatment and resource allocation.

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How to Cite

Talha Khalid, Farah Bano, Noreen Saleem. (2022). Radiological and Clinical Correlation of Chest X-Ray as a First Tool of Imaging in COVID-19 Patients. Pakistan Journal of Medical & Health Sciences, 16(05), 1287. https://doi.org/10.53350/pjmhs221651287

Issue

Vol. 16 No. 05 (2022): Pakistan Journal of Medical & Health Sciences

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open-access journal and all the published articles / items are 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.