Academic Journal
Real-time prognostic biomarkers for predicting in-hospital mortality and cardiac complications in COVID-19 patients
| العنوان: | Real-time prognostic biomarkers for predicting in-hospital mortality and cardiac complications in COVID-19 patients |
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| المؤلفون: | Omar, Rawan, Tavolacci, Sooyun Caroline, Liou, Lathan, Villavisanis, Dillan F., Broza, Yoav Y., Haick, Hossam |
| المساهمون: | Shey, Muki S. |
| المصدر: | PLOS Global Public Health ; volume 4, issue 3, page e0002836 ; ISSN 2767-3375 |
| بيانات النشر: | Public Library of Science (PLoS) |
| سنة النشر: | 2024 |
| المجموعة: | PLOS Publications (via CrossRef) |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1371/journal.pgph.0002836 |
| الاتاحة: | http://dx.doi.org/10.1371/journal.pgph.0002836 https://dx.plos.org/10.1371/journal.pgph.0002836 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.56A7CFA8 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1371/journal.pgph.0002836 |
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