Growth differentiation factor-15 significantly improves prognostication of short-term mortality in acute settings. (25th November 2020)

• Record Type: Journal Article
• Authors: Cerlinskaite, K; Mebazaa, A; Sadoune, M; Motiejunaite, J; Juknevicius, V; Balciunas, M; Bagdonaite, L; Kavoliuniene, A; Celutkiene, J
• Is Part Of: European heart journal. Volume 41:(2020)Supplement 2
• Publication Date: 2020-11-25
• Subjects: Acute Heart Failure: Biomarkers; Cardiology -- Periodicals; Heart -- Diseases -- Periodicals; 616.12005
• DOI: 10.1093/ehjci/ehaa946.1204
• Languages: English
• ISSNs: 0195-668X

Abstract

Abstract: Introduction: Acute dyspnoea is one of the most common complaints in the emergency department with a diverse range of diagnoses and a vastly different prognosis. There is still a need for a reliable biomarker for prognostication in acute settings. Purpose: To evaluate and compare the role of three biomarkers, which represent different pathophysiological pathways, in stratifying short-term mortality risk in patients admitted to the emergency department with acute dyspnoea. Methods: Prospective observational cohort enrolled 1455 acute dyspnoea patients admitted to emergency departments of two university centres from 2015 to 2017. The present study included 867 (71 [62–79] years, 40% female) patients who had N-terminal pro–B-type natriuretic peptide (NT-proBNP), high-sensitive troponin T (hsTnT) and growth differentiation factor 15 (GDF-15) measured at admission. Clinical variables known to affect prognosis (age, gender, use of beta blockers, angiotensin-converting-enzyme inhibitors/angiotensin II receptor blockers at admission, history of chronic heart failure, diabetes and coronary artery disease, systolic blood pressure, heart rate, creatinine, sodium, haemoglobin and C-reactive protein levels) were used to build a baseline model for all-cause 3-month mortality risk prediction in acute dyspnoea ["Clinical score"]. The ability of each biomarker to improve risk prediction on top of the Clinical score was evaluated by area under the curve (AUC), comparing AUC of the model with the biomarker to the AUC of the clinical model alone using the DeLong test. The clinical benefit in risk prediction of adding a biomarker was further assessed by reclassification analysis, including the net reclassification improvement (NRI) and the integrated discrimination index (IDI). The statistical analyses were performed using R statistical software. P value of <0.05 was considered statistically significant. Results: Mortality at 3 months was 16% (143 patients). The AUC of the Clinical score was 0.787 [95% confidence interval (CI) 0.735 - 0.836]. GDF-15 was the only biomarker that significantly improved risk prediction on top of the Clinical score. The results of the individual biomarkers are displayed in Figure 1A. GDF-15 significantly reclassified 3-month mortality risk with an NRI of 32% [13%-51%] and an IDI of 0.026 [0.011–0.042]; other biomarkers had lower reclassification rates (Figure 1B). Conclusions: This study demonstrates that the cellular stress biomarker GDF-15 taken at admission provides a substantial additive value to conventional clinical parameters for risk stratification in patients with acute dyspnoea. Funding Acknowledgement: Type of funding source: Public grant(s) – National budget only. Main funding source(s): The work was supported by the Research Council of Lithuania (Lietuvos mokslo taryba), grant Nr. MIP-049/2015 and approved by Lithuanian Bioethics Committee, no. L-15-01. Roche Diagnostics supported the research with measurement of NT-proBNP, high-sensitivity troponin T and growth differentiation factor-15