Literature DB >> 21743005

Admission, discharge, or change in B-type natriuretic peptide and long-term outcomes: data from Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) linked to Medicare claims.

Robb D Kociol1, John R Horton, Gregg C Fonarow, Eric M Reyes, Linda K Shaw, Christopher M O'Connor, G Michael Felker, Adrian F Hernandez.   

Abstract

BACKGROUND: B-type natriuretic peptide (BNP) has been associated with short- and long-term postdischarge prognosis among hospitalized patients with heart failure. It is unknown if admission, discharge, or change from admission to discharge BNP measure is the most important predictor of long-term outcomes. METHODS AND
RESULTS: We linked patients ≥65 years of age from hospitals in Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) to Medicare claims. Among patients with recorded admission and discharge BNP, we compared Cox models predicting 1-year mortality and/or rehospitalization, including clinical variables and clinical variables plus BNP. We calculated the net reclassification improvement (NRI) and integrated discrimination improvement (IDI) for the best-fit model for each outcome versus the model with clinical variables alone. Among 7039 patients in 220 hospitals, median (25th, 75th) admission and discharge BNP were 832 pg/mL (451, 1660) and 534 pg/mL (281, 1111). Observed 1-year mortality and 1-year mortality or rehospitalization rates were 35.2% and 79.4%. The discharge BNP model had the best performance and was the most important characteristic for predicting 1-year mortality (hazard ratio for log transformation, 1.34; 95% confidence interval, 1.28 to 1.40) and 1-year death or rehospitalization (hazard ratio, 1.15; 95% confidence interval, 1.12 to 1.18). Compared with a clinical variables only model, the discharge BNP model improved risk reclassification and discrimination in predicting each outcome (1-year mortality: NRI, 5.5%, P<0.0001; IDI, 0.023, P<0.0001; 1-year mortality or rehospitalization: NRI, 4.2%, P<0.0001; IDI, 0.010, P<0.0001).
CONCLUSIONS: Discharge BNP best predicts 1-year mortality and/or rehospitalization among older patients hospitalized with heart failure. Discharge BNP plus clinical variables modestly improves risk classification and model discrimination for long-term outcomes.

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Year:  2011        PMID: 21743005      PMCID: PMC3465672          DOI: 10.1161/CIRCHEARTFAILURE.111.962290

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  29 in total

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Authors:  W Li; D R Nyholt
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2.  A rapid bedside test for B-type peptide predicts treatment outcomes in patients admitted for decompensated heart failure: a pilot study.

Authors:  V Cheng; R Kazanagra; A Garcia; L Lenert; P Krishnaswamy; N Gardetto; P Clopton; A Maisel
Journal:  J Am Coll Cardiol       Date:  2001-02       Impact factor: 24.094

3.  Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure.

Authors:  Alan S Maisel; Padma Krishnaswamy; Richard M Nowak; James McCord; Judd E Hollander; Philippe Duc; Torbjørn Omland; Alan B Storrow; William T Abraham; Alan H B Wu; Paul Clopton; Philippe G Steg; Arne Westheim; Catherine Wold Knudsen; Alberto Perez; Radmila Kazanegra; Howard C Herrmann; Peter A McCullough
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4.  Preliminary data on the potential usefulness of B-type natriuretic peptide levels in predicting outcome after hospital discharge in patients with heart failure.

Authors:  Paulo Bettencourt; Susana Ferreira; Ana Azevedo; António Ferreira
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5.  Predischarge B-type natriuretic peptide assay for identifying patients at high risk of re-admission after decompensated heart failure.

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Review 6.  Multidisciplinary strategies for the management of heart failure patients at high risk for admission: a systematic review of randomized trials.

Authors:  Finlay A McAlister; Simon Stewart; Stefania Ferrua; John J J V McMurray
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7.  B-type natriuretic peptide and clinical judgment in emergency diagnosis of heart failure: analysis from Breathing Not Properly (BNP) Multinational Study.

Authors:  Peter A McCullough; Richard M Nowak; James McCord; Judd E Hollander; Howard C Herrmann; Philippe G Steg; Philippe Duc; Arne Westheim; Torbjørn Omland; Cathrine Wold Knudsen; Alan B Storrow; William T Abraham; Sumant Lamba; Alan H B Wu; Alberto Perez; Paul Clopton; Padma Krishnaswamy; Radmila Kazanegra; Alan S Maisel
Journal:  Circulation       Date:  2002-07-23       Impact factor: 29.690

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Authors:  Paulo Bettencourt; Ana Azevedo; Joana Pimenta; Fernando Friões; Susana Ferreira; António Ferreira
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9.  B-type natriuretic peptide strongly reflects diastolic wall stress in patients with chronic heart failure: comparison between systolic and diastolic heart failure.

Authors:  Yoshitaka Iwanaga; Isao Nishi; Shinichi Furuichi; Teruo Noguchi; Kazuhiro Sase; Yasuki Kihara; Yoichi Goto; Hiroshi Nonogi
Journal:  J Am Coll Cardiol       Date:  2006-01-26       Impact factor: 24.094

10.  Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF): rationale and design.

Authors:  Gregg C Fonarow; William T Abraham; Nancy M Albert; Wendy A Gattis; Mihai Gheorghiade; Barry Greenberg; Chris M O'Connor; Clyde W Yancy; James Young
Journal:  Am Heart J       Date:  2004-07       Impact factor: 4.749

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Journal:  Clin Res Cardiol       Date:  2012-03-10       Impact factor: 5.460

2.  Length of hospital stay and its impact on subsequent early readmission in patients with acute heart failure: a report from the WET-HF Registry.

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Journal:  Heart Vessels       Date:  2019-05-27       Impact factor: 2.037

Review 3.  De novo acute heart failure and acutely decompensated chronic heart failure.

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4.  Palliative Care in Heart Failure: The PAL-HF Randomized, Controlled Clinical Trial.

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Journal:  J Am Coll Cardiol       Date:  2017-07-18       Impact factor: 24.094

5.  Prognostic value of estimated plasma volume in acute heart failure in three cohort studies.

Authors:  Masatake Kobayashi; Patrick Rossignol; João Pedro Ferreira; Irene Aragão; Yuki Paku; Yoichi Iwasaki; Masataka Watanabe; Marat Fudim; Kevin Duarte; Faiez Zannad; Nicolas Girerd
Journal:  Clin Res Cardiol       Date:  2018-10-19       Impact factor: 5.460

6.  Prognostic value of sST2 added to BNP in acute heart failure with preserved or reduced ejection fraction.

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

Review 7.  Updates in heart failure 30-day readmission prevention.

Authors:  David Goldgrab; Kathir Balakumaran; Min Jung Kim; Sara R Tabtabai
Journal:  Heart Fail Rev       Date:  2019-03       Impact factor: 4.214

8.  Prognostic significance of biomarkers in predicting outcome in patients with coronary artery disease and left ventricular dysfunction: results of the biomarker substudy of the Surgical Treatment for Ischemic Heart Failure trials.

Authors:  Arthur M Feldman; Douglas L Mann; Lilin She; Michael R Bristow; Alan S Maisel; Dennis M McNamara; Ryan Walsh; Dorellyn L Lee; Stanislaw Wos; Irene Lang; Gretchen Wells; Mark H Drazner; John F Schmedtje; Daniel F Pauly; Carla A Sueta; Michael Di Maio; Irving L Kron; Eric J Velazquez; Kerry L Lee
Journal:  Circ Heart Fail       Date:  2013-04-12       Impact factor: 8.790

9.  Risk factors for rehospitalization in heart failure with preserved ejection fraction compared with reduced ejection fraction.

Authors:  Masahiko Setoguchi; Yuji Hashimoto; Taro Sasaoka; Takashi Ashikaga; Mitsuaki Isobe
Journal:  Heart Vessels       Date:  2014-06-17       Impact factor: 2.037

10.  Timing and Causes of Readmission After Acute Heart Failure Hospitalization-Insights From the Heart Failure Network Trials.

Authors:  Justin M Vader; Shane J LaRue; Susanna R Stevens; Robert J Mentz; Adam D DeVore; Anuradha Lala; John D Groarke; Omar F AbouEzzeddine; Shannon M Dunlay; Justin L Grodin; Victor G Dávila-Román; Lisa de Las Fuentes
Journal:  J Card Fail       Date:  2016-04-28       Impact factor: 5.712

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