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BLUNT PULMONARY CONTUSION: ADMISSION COMPUTED TOMOGRAPHY SCAN PREDICTS MECHANICAL VENTILATION.
- Source :
- Journal of Universal College of Medical Sciences; May-Aug2023, Vol. 11 Issue 2, p3-5, 3p
- Publication Year :
- 2023
-
Abstract
- INTRODUCTION: Road traffic injury is one of the fastest growing health problems in Nepal with increasing number every year leading to morbidity and mortality. Blunt pulmonary contusion may not be seen in the initial plain radiographs as they evolve over 12-24 hours. Thus CT (Computed Tomography) scan can provide detailed information about the contusion and predict the need for mechanical ventilation. MATERIAL AND METHODS: This is a prospective, observational longitudinal study conducted at Universal College of Medical Sciences, Bhairahawa from 1st January 2020 to 31st December 2020. The predictors for requirement of mechanical ventilation like Abbreviated Injury Scale (AIS), Injury Severity Score (ISS), GCS score and number of fractured ribs at the time of admission were recorded. RESULTS: In this study, 100 cases with blunt pulmonary contusion were evaluated. Average age of patients with blunt pulmonary contusion was around 39.10±17.56 years with male predominance (82%). Total of 7 patients required mechanical ventilation among whom the AIS chest was 3.0±0.82, ISS score was 29.14±6.89, and GCS 9.14±3.13. The ROC curve showed that ISS score predicted significantly about the requirement of mechanical ventilation with sensitivity of 85.5% and specificity of 99.8 %. CONCLUSION: Initial CT done in patients can show the presence or absence of pulmonary contusion and associated thoracic injuries and along with AIS, ISS and GCS scores we can predict early the requirement of mechanical ventilation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20912846
- Volume :
- 11
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Universal College of Medical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 173582310
- Full Text :
- https://doi.org/10.3126/jucms.v11i02.57892