An easy-to-use prehospital severity scoring tool to triage COVID-19 positive adults in a resource-limited setting

Danish Ali, Mustafa Zubairi, Maaha Ayub, Safia Awan, Akbar Shoukat Ali, Ali Bin Sarwar Zubairi

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To develop an easy-to-use severity scoring tool for prehospital triage of patients infected by the coronavirus disease-2019 in resource-limited settings. Method: 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. Results: 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). Conclusion: The severity scoring tool could effectively help classify coronavirus disease-2019 patients into mild, moderate and severe cases.

Original languageEnglish
Pages (from-to)1959-1964
Number of pages6
JournalJournal of the Pakistan Medical Association
Volume73
Issue number10
DOIs
Publication statusPublished - Oct 2023

Keywords

  • COVID-19 management
  • Low- and middle-income countries
  • Pre-hospital triage
  • Resource-limited setting
  • Severity scoring tool

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