Procalcitonin as a predictive marker in COVID-19: A systematic review and meta-analysis

Amit Kumar, Era Karn, Kiran Trivedi, Pramod Kumar, Ganesh Chauhan, Aradhana Kumari, Pragya Pant, Murali Munisamy, Jay Prakash, Prattay Guha Sarkar, Kameshwar Prasad and Anupa Prasad

PLOS ONE, 2022, vol. 17, issue 9, 1-22

Abstract: Background: Coronavirus disease 2019 has emerged as a global pandemic causing millions of critical cases and deaths. Early identification of at-risk patients is crucial for planning triage and treatment strategies. Methods and findings: We performed this systematic review and meta-analysis to determine the pooled prognostic significance of procalcitonin in predicting mortality and severity in patients with COVID-19 using a robust methodology and clear clinical implications. Design: We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Cochrane Handbook for Systematic Reviews of Interventions guidelines. We included thirty-two prospective and retrospective cohort studies involving 13,154 patients. Results: The diagnostic odds ratio of procalcitonin for predicting mortality were estimated to be 11 (95% CI: 7 to 17) with sensitivity, specificity, and summary area under the curveof 0.83 (95% CI: 0.70 to 0.91), 0.69 (95% CI: 0.58 to 0.79), and 0.83 (95% CI: 0.79 to 0.86) respectively. While for identifying severe cases of COVID-19, the odds ratio was 8.0 (95% CI 5.0 to 12.0) with sensitivity, specificity, and summary area under the curve of 0.73 (95% CI 0.67 to 0.78), 0.74 (0.66 to 0.81), and 0.78 (95% CI 0.74 to 0.82) respectively. Conclusion: Procalcitonin has good discriminatory power for predicting mortality and disease severity in COVID-19 patients. Therefore, procalcitonin measurement may help identify potentially severe cases and thus decrease mortality by offering early aggressive treatment.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0272840

DOI: 10.1371/journal.pone.0272840

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