GDF-15 Levels and Other Laboratory Findings as Predictors of COVID-19 Severity and Mortality: A Pilot Study.
Luka ŠvitekDubravka LišnjićBarbara GrubišićMihaela ZlosaEma SchönbergerNika Vlahović VlašićPetra SmajićDario SabadiTara RolićKristina KralikSanja MandićPublished in: Biomedicines (2024)
Growth differentiation factor 15 (GDF-15) is a stress-induced cytokine associated with acute and chronic inflammatory states. This prospective observational study aimed to investigate the prognostic roles of GDF-15 and routine clinical laboratory parameters in COVID-19 patients. Upon the admission of 95 adult hospitalized COVID-19 patients in Croatia, blood analysis was performed, and medical data were collected. The patients were categorized based on survival, ICU admission, and hospitalization duration. Logistic regression and ROC curve methods were employed for the statistical analysis. Logistic regression revealed two independent predictors of negative outcomes: CURB-65 score (OR = 2.55) and LDH (OR = 1.005); one predictor of ICU admission: LDH (OR = 1.004); and one predictor of prolonged hospitalization: the need for a high-flow nasal cannula (HFNC) upon admission (OR = 4.75). The ROC curve showed diagnostic indicators of negative outcomes: age, CURB-65 score, LDH, and GDF-15. The largest area under the curve (AUC = 0.767, specificity = 65.6, sensitivity = 83.9) was represented by GDF-15, with a cutoff value of 3528 pg/mL. For ICU admission, significant diagnostic indicators were LDH, CRP, and IL-6. Significant diagnostic indicators of prolonged hospitalization were CK, GGT, and oxygenation with an HFNC upon admission. This study reaffirms the significance of the commonly used laboratory parameters and clinical scores in evaluating COVID-19. Additionally, it introduces the potential for a new diagnostic approach and research concerning GDF-15 levels in this widespread disease.
Keyphrases
- emergency department
- sars cov
- stress induced
- intensive care unit
- coronavirus disease
- end stage renal disease
- mechanical ventilation
- healthcare
- chronic kidney disease
- newly diagnosed
- type diabetes
- metabolic syndrome
- extracorporeal membrane oxygenation
- respiratory failure
- risk factors
- liver failure
- cardiovascular events
- cardiovascular disease
- machine learning
- coronary artery disease
- climate change
- patient reported
- respiratory syndrome coronavirus
- hepatitis b virus
- artificial intelligence
- electronic health record
- protein kinase
- chronic rhinosinusitis
- structural basis