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Real-time prognostic biomarkers for predicting in-hospital mortality and cardiac complications in COVID-19 patients

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  • Rawan Omar
  • Sooyun Caroline Tavolacci
  • Lathan Liou
  • Dillan F Villavisanis
  • Yoav Y Broza
  • Hossam Haick

Abstract

Hospitalized patients with Coronavirus disease 2019 (COVID-19) are highly susceptible to in-hospital mortality and cardiac complications such as atrial arrhythmias (AA). However, the utilization of biomarkers such as potassium, B-type natriuretic peptide, albumin, and others for diagnosis or the prediction of in-hospital mortality and cardiac complications has not been well established. The study aims to investigate whether biomarkers can be utilized to predict mortality and cardiac complications among hospitalized COVID-19 patients. Data were collected from 6,927 hospitalized COVID-19 patients from March 1, 2020, to March 31, 2021 at one quaternary (Henry Ford Health) and five community hospital registries (Trinity Health Systems). A multivariable logistic regression prediction model was derived using a random sample of 70% for derivation and 30% for validation. Serum values, demographic variables, and comorbidities were used as input predictors. The primary outcome was in-hospital mortality, and the secondary outcome was onset of AA. The associations between predictor variables and outcomes are presented as odds ratio (OR) with 95% confidence intervals (CIs). Discrimination was assessed using area under ROC curve (AUC). Calibration was assessed using Brier score. The model predicted in-hospital mortality with an AUC of 90% [95% CI: 88%, 92%]. In addition, potassium showed promise as an independent prognostic biomarker that predicted both in-hospital mortality, with an AUC of 71.51% [95% Cl: 69.51%, 73.50%], and AA with AUC of 63.6% [95% Cl: 58.86%, 68.34%]. Within the test cohort, an increase of 1 mEq/L potassium was associated with an in-hospital mortality risk of 1.40 [95% CI: 1.14, 1.73] and a risk of new onset of AA of 1.55 [95% CI: 1.25, 1.93]. This cross-sectional study suggests that biomarkers can be used as prognostic variables for in-hospital mortality and onset of AA among hospitalized COVID-19 patients.

Suggested Citation

  • Rawan Omar & Sooyun Caroline Tavolacci & Lathan Liou & Dillan F Villavisanis & Yoav Y Broza & Hossam Haick, 2024. "Real-time prognostic biomarkers for predicting in-hospital mortality and cardiac complications in COVID-19 patients," PLOS Global Public Health, Public Library of Science, vol. 4(3), pages 1-17, March.
    • Handle: RePEc:plo:pgph00:0002836
    DOI: 10.1371/journal.pgph.0002836
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