RESUMEN
Natriuretic peptides are biomarkers of myocardial stress and are frequently elevated among patients with severe respiratory illnesses, typically in the absence of elevated cardiac-filling pressures or clinical heart failure. Elevation of brain natriuretic peptide (BNP) or NT-proBNP is associated with worse outcomes among patients with Acute Respiratory Distress Syndrome (ARDS). We conducted a retrospective cohort study based on a comprehensive review of Electronic Medical Records (EMRs) of patients with Coronavirus Disease 2019 (COVID-19) to evaluate whether BNP on admission has prognostic value on mortality and hospital length of stay (LOS) among patients admitted with confirmed COVID-19 along with the inclusion of additional prognostic variables. Overall, 146 patients were included after analyzing 230 patients' EMR and excluding potential confounding factors for abnormal BNP. Our statistical analysis did not show a statistically significant association between BNP level and mortality rate (P = 0.722) or ICU LOS ( P = 0.741). A remarkable secondary outcome to our study was that impaired renal function (GFR<60) on admission was significantly associated with an increased mortality rate (P = 0.026) and an increased ICU LOS (P = 0.022). Although various studies have presented the predictive role of pro-BNP among patients with respiratory distress in the past years, our study did not find BNP to be an accurate predictive and prognostic factor among patients with COVID-19 in our study population. Renal impairment and high Acute Physiology and Chronic Health Evaluation (APACHE) II scores on admission, on the other hand, have demonstrated to be strong predictors for COVID-19 morbidity and mortality. This study could represent an introduction to more prominent multicenter studies to evaluate additional prognostic factors and minimize the ordering of nonspecific testing.
RESUMEN
As SARS-CoV-2 continues to spread across the globe and significantly impacts health-care systems and strains resources, identifying prognostic factors to predict clinical outcome remains essential. We conducted a retrospective cohort study to further explore the prognostic value of serum hypoalbuminemia and other factors in hospitalized COVID-19 patients. The primary endpoint was defined as the risk of in-hospital mortality. 300 patients were included in the analysis, with 56% being male and a mean (±SD) age of 61.5 ± 15.3 years. The mean (±SD) albumin was 2.86 ± 0.5 g/dL. Our analysis showed that patients with in-hospital mortality had lower albumin levels than patients without in-hospital mortality (2.6 ± 0.49 vs. 2.9 ± 0.48 g/dL, respectively, with P value = <0.001). A multivariant logistic regression analysis was subsequently conducted, and after adjustment, the serum albumin level remained a strong predictor of the primary outcome. Based on the data gathered, we were able to create a model predictive of mortality in this patient group based on the serum albumin level and other pertinent factors. In this model, with all other variables remaining constant, each one-unit increase in albumin is estimated to reduce the odds of mortality by 73%. Our results strengthen the current available data on the prognostic value of serum albumin in COVID-19 patients and provide a model to predict in-hospital mortality.