Abstract
To develop an easy-to-use severity scoring tool for prehospital triage of patients infected by the coronavirus disease-2019 in resource-limited settings. The cohort study was conducted at a tertiary care hospital in Karachi, from August to September 2020, and comprised adult patients of either gender who tested positive for coronavirus disease-2019 on real-time polymerase chain reaction. The scoring system and categorisation were based on validated scales for the detection of pneumonia and opinions from pulmonologists. Data was analysed using SPSS 19. Of the 206 participants, 100(48.5%) were in-patients and 106(51.5%) were out-patients. There were 144(69.9%) males and 62(30.1%) females with an overall mean age of 48.4±16.2 years. After categorisation based on severity, significantly higher number of in-patients were found to be in categories III and IV (p<0.05). The severity scoring tool could effectively help classify coronavirus disease-2019 patients into mild, moderate and severe cases.
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