Circulating Mid-regional Proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis

Author:

Wang Na1,Liu Lushan1,He Wei1,Shang Na1,Li Junyu1,Qin Zhou1,Du Xiaoxia1

Affiliation:

1. Capital Medical University

Abstract

Abstract Background Although there is increasing understanding of the changes in the laboratory parameters of coronavirus disease 2019 (COVID-19), the correlation between circulating Mid-regional Proadrenomedullin (MR-proADM) and clinical outcomes of patients with COVID-19 is not fully understood. In this study, we aimed to evaluate the prognostic value of MR-proADM in patients with COVID-19. Methods The PubMed, Embase, Web of Science, Cochrane Library, Wanfang, SinoMed and Chinese National Knowledge Infrastructure (CNKI) databases were searched from 1 January 2020 to 20 March 2022 for relevant literature. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess quality bias, STATA was employed to pool the effect size by a random effects model, and potential publication bias and sensitivity analyses were performed. Results 14 studies comprising 1822 patients with COVID-19 met the inclusion criteria, there were 1145 males and 677 females, and the mean age was 64.8 years. The concentration of MR- proADM was compared between the survivors and nonsurvivors in 9 studies and the difference was significant (P < 0.01), I2 = 46%. The combined sensitivity was 0.88 [0.81–0.93], and the combined specificity was 0.77 [0.65–0.86]. We drew the SROC curve and calculated the AUC = 0.90 [0.87–0.93]. An increase of 1 nmol/L of MR-proADM was independently associated with a more than threefold increase in mortality (odds ratio 3.03, 95% confidence interval 2.26–4.06, I2 = 0.0%, P = 0.633). The predictive value of MR-proADM for death was better than many other biomarkers. Conclusion MR- proADM had a very good predictive value for the poor prognosis of COVID-19 patients. Increased levels of MR-proADM were independently associated with mortality in COVID-19 patients and may allow a better risk stratification.

Publisher

Research Square Platform LLC

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