AIM: This study aims to evaluate the incremental value of plasma biomarkers to traditional clinical variables for risk stratification of 30-day and one-year mortality in acutely decompensated heart failure (ADHF). METHODS AND RESULTS: Through an international collaborative network, individual patient data on 5306 patients hospitalized for ADHF were collected. The all-cause mortality rate was 11.7% at 30 days and 32.9% at one year. The clinical prediction model (age, gender, blood pressure on admission, estimated glomerular filtration rate <60 mL/min/1.73 m(2), sodium and hemoglobin levels, and heart rate) had a c-statistic of 0.74 for 30-day mortality and 0.73 for one-year mortality. Several biomarkers measured at presentation improved risk stratification when added to the clinical model. At 30 days, the net reclassification improvement (NRI) was 28.7% for mid-regional adrenomedullin (MR-proADM; p<0.001) and 25.5% for soluble (s)ST2 (p<0.001). At one year, sST2 (NRI 10.3%), MR-proADM (NRI 9.1%), amino-terminal pro-B-type natriuretic peptide (NT-proBNP; NRI 9.1%), mid-regional proatrial natriuretic peptide (MR-proANP; NRI 7.4%), B-type natriuretic peptide (NRI 5.5%) and C-reactive protein (CRP; NRI 5.3%) reclassified patients with ADHF (p<0.05 for all). CRP also markedly improved risk stratification of patients with ADHF as a dual biomarker combination with MR-proADM (NRI 36.8% [p<0.001] for death at 30 days) or with sST2 (NRI 20.3%; [p<0.001] for one-year mortality). CONCLUSION: In this study, biomarkers provided incremental value for risk stratification of ADHF patients. Biomarkers such as sST2, MR-proADM, natriuretic peptides and CRP, reflecting different pathophysiologic pathways, add prognostic value to clinical risk factors for predicting both short-term and one-year mortality in ADHF.
AIM: This study aims to evaluate the incremental value of plasma biomarkers to traditional clinical variables for risk stratification of 30-day and one-year mortality in acutely decompensated heart failure (ADHF). METHODS AND RESULTS: Through an international collaborative network, individual patient data on 5306 patients hospitalized for ADHF were collected. The all-cause mortality rate was 11.7% at 30 days and 32.9% at one year. The clinical prediction model (age, gender, blood pressure on admission, estimated glomerular filtration rate <60 mL/min/1.73 m(2), sodium and hemoglobin levels, and heart rate) had a c-statistic of 0.74 for 30-day mortality and 0.73 for one-year mortality. Several biomarkers measured at presentation improved risk stratification when added to the clinical model. At 30 days, the net reclassification improvement (NRI) was 28.7% for mid-regional adrenomedullin (MR-proADM; p<0.001) and 25.5% for soluble (s)ST2 (p<0.001). At one year, sST2 (NRI 10.3%), MR-proADM (NRI 9.1%), amino-terminal pro-B-type natriuretic peptide (NT-proBNP; NRI 9.1%), mid-regional proatrial natriuretic peptide (MR-proANP; NRI 7.4%), B-type natriuretic peptide (NRI 5.5%) and C-reactive protein (CRP; NRI 5.3%) reclassified patients with ADHF (p<0.05 for all). CRP also markedly improved risk stratification of patients with ADHF as a dual biomarker combination with MR-proADM (NRI 36.8% [p<0.001] for death at 30 days) or with sST2 (NRI 20.3%; [p<0.001] for one-year mortality). CONCLUSION: In this study, biomarkers provided incremental value for risk stratification of ADHFpatients. Biomarkers such as sST2, MR-proADM, natriuretic peptides and CRP, reflecting different pathophysiologic pathways, add prognostic value to clinical risk factors for predicting both short-term and one-year mortality in ADHF.
Authors: Fernando Friões; Patrícia Lourenço; Olga Laszczynska; Pedro-Bernardo Almeida; João-Tiago Guimarães; James L Januzzi; Ana Azevedo; Paulo Bettencourt Journal: Clin Res Cardiol Date: 2015-01-14 Impact factor: 5.460
Authors: A Mebazaa; H Tolppanen; C Mueller; J Lassus; S DiSomma; G Baksyte; M Cecconi; D J Choi; A Cohen Solal; M Christ; J Masip; M Arrigo; S Nouira; D Ojji; F Peacock; M Richards; N Sato; K Sliwa; J Spinar; H Thiele; M B Yilmaz; J Januzzi Journal: Intensive Care Med Date: 2015-09-14 Impact factor: 17.440
Authors: Sean Collins; Alan B Storrow; Nancy M Albert; Javed Butler; Justin Ezekowitz; G Michael Felker; Gregory J Fermann; Gregg C Fonarow; Michael M Givertz; Brian Hiestand; Judd E Hollander; David E Lanfear; Phillip D Levy; Peter S Pang; W Frank Peacock; Douglas B Sawyer; John R Teerlink; Daniel J Lenihan Journal: J Card Fail Date: 2014-07-18 Impact factor: 5.712
Authors: James A Iwaz; Elizabeth Lee; Hermineh Aramin; Danilo Romero; Navaid Iqbal; Matt Kawahara; Fatima Khusro; Brian Knight; Minal V Patel; Sumita Sharma; Alan S Maisel Journal: Drugs Date: 2016-02 Impact factor: 9.546