o:2865 Performance of a cardiac lipid panel compared to four prognostic scores in chronic heart failure en The cardiac lipid panel (CLP) is a novel panel of metabolomic biomarkers that has previously shown to improve the diagnostic and prognostic value for CHF patients. Several prognostic scores have been developed for cardiovascular disease risk, but their use is limited to specifc populations and precision is still inadequate. We compared a risk score using the CLP plus NT-proBNP to four commonly used risk scores: The Seattle Heart Failure Model (SHFM), Framingham risk score (FRS), Barcelona bio-HF (BCN Bio-HF) and Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score. We included 280 elderly CHF patients from the Cardiac Insufciency Bisoprolol Study in Elderly trial. Cox Regression and hierarchical cluster analysis was performed. Integrated area under the curves (IAUC) was used as criterium for comparison. The mean (SD) follow-up period was 81 (33) months, and 95 (34%) subjects met the primary endpoint. The IAUC for FRS was 0.53, SHFM 0.61, BCN Bio-HF 0.72, MAGGIC 0.68, and CLP 0.78. Subjects were partitioned into three risk clusters: low, moderate, high with the CLP score showing the best ability to group patients into their respective risk cluster. A risk score composed of a novel panel of metabolite biomarkers plus NT-proBNP outperformed other common prognostic scores in predicting 10-year cardiovascular death in elderly ambulatory CHF patients. This approach could improve the clinical risk assessment of CHF patients. 91552100 125945353 1552101 2045-2322 1552099 10.1038/s41598-021-87776-w 2023-09-29T11:21:37.606Z 44 yes 46 Peter McGranaghan 105155593 2021 46 Anshul Saxena 46 Hans‑Dirk Düngen 46 Muni Rubens 46 Sandeep Appunni 46 Joseph Salami 46 Emir Veledar 46 Philipp Lacour 46 Florian Blaschke 46 Danilo Obradović 104887305 0000-0002-0171-0448 46 Goran Lončar 29116519 0000-0001-8553-683X 46 Elvis Tahirović 46 Frank Elelmann 46 Burkert Pieske 46 Tobias Daniel Trippel application/pdf 1481614 https://unilib.phaidrabg.rs/o:2865 no yes 16 70 92000001 71A11 Scientific Reports 11 1 12 2021