High Resolution Computed Tomography of Thorax- Is it an Early Predictor of Hypoxaemia in COVID-19 Patients?
Autor: | Ajay Sharawat, Kamal Kumar Sen, Sangram Panda, Sudhansu Sekhar Mohanty, Darsana Bhuyan, Akshat Agrawal, Humsheer Sethi, Sunny Swaraj |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Journal of Clinical and Diagnostic Research, Vol 15, Iss 2, Pp TC01-TC04 (2021) |
Druh dokumentu: | article |
ISSN: | 2249-782X 0973-709X |
DOI: | 10.7860/JCDR/2021/47072.14497 |
Popis: | Introduction: Novel Coronavirus-2019 (nCoV-2019) is capable of human-to-human transmission and can lead to acute respiratory distress syndrome similar to Middle East Respiratory Syndrome (MERS) due to lung parenchyma destruction. Some patients with COVID-19 consistently demonstrated no hypoxaemia, however, some patients develop sense of difficulty in breathing due to increased airway resistance. Aim: To assess the potential of High Resolution Computed Tomography (HRCT) thorax as an early predictor of hypoxaemia in COVID-19 patients. Materials and Methods: A prospective longitudinal cohort study of 1000 Reverse Transcription Polymerase Chain Reaction (RTPCR) confirmed COVID-19 and HRCT thorax positive patients, who were monitored simultaneously for SpO2 levels, were undertaken. HRCT findings were graded into Computerised Tomography Severity Index (CTSI) and correlated with patient’s SpO2 levels, at the time of scan on admission. Patients, who had normal SpO2 levels (≥95%) at the time of initial scan, were monitored upto five days. Pearson’s correlation test was used to find correlation between CTSI and SpO2 levels. Results: In present study group there was male predominance (4:1). Fever was the most common clinical presentation followed by cough. HRCT thorax features were categorised as Typical 769 (76.9%), Indeterminate 176 (17.6%) and atypical 55 (5.5%). 371 (82.8%) patients with SpO2 >95% were having CTSI between 0-7, similarly 189 (54.4%) patients with SpO2 90-94% were having CTSI between 8-15 and 133 (64.8%) patients with SpO2 |
Databáze: | Directory of Open Access Journals |
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