| Autor: |
Neema Agarwal, Payal Jain, Tooba N Khan, Rakesh Gupta |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Family Medicine and Primary Care, Vol 11, Iss 2, Pp 559-566 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2249-4863 |
| DOI: |
10.4103/jfmpc.jfmpc_398_21 |
| Popis: |
Introduction: The present study was undertaken to describe and quantify the spectrum of radiographic findings on coronavirus disease 2019 (COVID-19) patients. The study also aimed to analyse the changes in chest X-ray (CXR) with disease progression. Methods: COVID-19 patients admitted between the period of 15 March 2020 and 1 July 2020 were retrospectively enrolled. CXR images were assessed and reported as 'Normal' or 'Abnormal'. A severity score was calculated using Warren et al.'s Radiographic Assessment of Lung Edema scoring. Correlations of the severity score thus calculated were sought with age, sex, clinical manifestations and presence of comorbidities. Results: Five hundred patients (342 males, 158 females) were enrolled, median age being 35 years. Fever and cough were the most common symptoms but significant correlation of an abnormal CXR was found with dyspnoea. CXRs were normal in 67% and abnormal in 33% patients. The commonest comorbidities were diabetes mellitus and cardiovascular disease including hypertension, coronary artery disease and congestive heart failure. Predominant pattern was ground glass opacities, reticular alteration and consolidation peaking in the second week from symptom onset. The most frequent distribution was bilateral, peripheral with middle/lower predominance. Increasing age, male sex, presence of dyspnoea and comorbidities correlated with abnormal findings on CXR. Critical illness and mortality correlated strongly with increasing age, male sex and presence of dyspnoea, less so with presence of comorbidities. Conclusion: In the current scenario with clinicians and radiologists working in tandem, CXR seems to be a promising tool in providing relevant information in a simplified way. |
| Databáze: |
Directory of Open Access Journals |
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