Literature DB >> 20031864

Representativeness of a national heart failure quality-of-care registry: comparison of OPTIMIZE-HF and non-OPTIMIZE-HF Medicare patients.

Lesley H Curtis1, Melissa A Greiner, Bradley G Hammill, Lisa D DiMartino, Alisa M Shea, Adrian F Hernandez, Gregg C Fonarow.   

Abstract

BACKGROUND: Participation in clinical registries is nonrandom, so participants may differ in important ways from nonparticipants. The extent to which findings from clinical registries can be generalized to broader populations is unclear. METHODS AND
RESULTS: We linked data from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure (OPTIMIZE-HF) registry with 100% inpatient Medicare fee-for-service claims to identify matched and unmatched patients with heart failure. We evaluated differences in baseline characteristics and mortality, all-cause readmission, and cardiovascular readmission rates. We used Cox proportional hazards models to examine relationships between registry enrollment and outcomes, controlling for baseline characteristics. There were 25,245 OPTIMIZE-HF patients in the Medicare claims data and 929,161 Medicare beneficiaries with heart failure who were not enrolled in OPTIMIZE-HF. Although hospital characteristics differed, patient demographic characteristics and comorbid conditions were similar. In-hospital mortality for OPTIMIZE-HF and non-OPTIMIZE-HF patients was not significantly different (4.7% versus 4.5%; P=0.37); however, OPTIMIZE-HF patients had slightly higher 30-day (11.9% versus 11.2%; P<0.001) and 1-year unadjusted mortality (37.2% versus 35.7%; P<0.001). Controlling for other variables, OPTIMIZE-HF patients were similar to non-OPTIMIZE-HF patients for the hazard of mortality (hazard ratio, 1.02; 95% confidence interval, 0.98 to 1.06). There were small but significant decreases in all-cause (hazard ratio, 0.94; 95% CI, 0.92 to 0.97) and cardiovascular readmission (hazard ratio, 0.94; 95% CI, 0.91 to 0.98).
CONCLUSIONS: Characteristics and outcomes of Medicare beneficiaries enrolled in OPTIMIZE-HF are similar to the broader Medicare population with heart failure, suggesting that findings from this clinical registry may be generalized.

Entities:  

Mesh:

Year:  2009        PMID: 20031864      PMCID: PMC2801895          DOI: 10.1161/CIRCOUTCOMES.108.822692

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  15 in total

Review 1.  The potential role of community-based registries to complement the limited applicability of clinical trial results to the community setting: heart failure as an example.

Authors:  Joseph A Franciosa
Journal:  Am J Manag Care       Date:  2004-07       Impact factor: 2.229

2.  Carvedilol use at discharge in patients hospitalized for heart failure is associated with improved survival: an analysis from Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF).

Authors:  Gregg C Fonarow; William T Abraham; Nancy M Albert; Wendy Gattis Stough; Mihai Gheorghiade; Barry H Greenberg; Christopher M O'Connor; Jie Lena Sun; Clyde Yancy; James B Young
Journal:  Am Heart J       Date:  2007-01       Impact factor: 4.749

3.  [How to read and understand Registries for Evaluating Patient Outcomes: A User's Guide (2nd Edition)].

Authors:  Wei Yang; Yan-Ming Xie
Journal:  Zhongguo Zhong Yao Za Zhi       Date:  2013-09

4.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

5.  Relationship between admission serum sodium concentration and clinical outcomes in patients hospitalized for heart failure: an analysis from the OPTIMIZE-HF registry.

Authors:  Mihai Gheorghiade; William T Abraham; Nancy M Albert; Wendy Gattis Stough; Barry H Greenberg; Christopher M O'Connor; Lilin She; Clyde W Yancy; James Young; Gregg C Fonarow
Journal:  Eur Heart J       Date:  2007-02-19       Impact factor: 29.983

6.  Are registry hospitals different? A comparison of patients admitted to hospitals of a commercial heart failure registry with those from national and community cohorts.

Authors:  Paul A Heidenreich; Gregg C Fonarow
Journal:  Am Heart J       Date:  2006-11       Impact factor: 4.749

7.  Potential for cancer related health services research using a linked Medicare-tumor registry database.

Authors:  A L Potosky; G F Riley; J D Lubitz; R M Mentnech; L G Kessler
Journal:  Med Care       Date:  1993-08       Impact factor: 2.983

8.  Characteristics, treatments, and outcomes of patients with preserved systolic function hospitalized for heart failure: a report from the OPTIMIZE-HF Registry.

Authors:  Gregg C Fonarow; Wendy Gattis Stough; William T Abraham; Nancy M Albert; Mihai Gheorghiade; Barry H Greenberg; Christopher M O'Connor; Jie Lena Sun; Clyde W Yancy; James B Young
Journal:  J Am Coll Cardiol       Date:  2007-08-06       Impact factor: 24.094

9.  Registries: what level of evidence do they provide?

Authors:  Jan-Paul W R Roovers
Journal:  Int Urogynecol J Pelvic Floor Dysfunct       Date:  2007-08-03

10.  Risk adjustment of Medicare capitation payments using the CMS-HCC model.

Authors:  Gregory C Pope; John Kautter; Randall P Ellis; Arlene S Ash; John Z Ayanian; Lisa I Lezzoni; Melvin J Ingber; Jesse M Levy; John Robst
Journal:  Health Care Financ Rev       Date:  2004
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  31 in total

1.  Cognitive impairment in older adults with heart failure: prevalence, documentation, and impact on outcomes.

Authors:  John A Dodson; Tuyet-Trinh N Truong; Virginia R Towle; Gerard Kerins; Sarwat I Chaudhry
Journal:  Am J Med       Date:  2013-02       Impact factor: 4.965

2.  Comparative Effectiveness of Implantable Cardioverter Defibrillators for Primary Prevention in Women.

Authors:  Emily P Zeitler; Anne S Hellkamp; Phillip J Schulte; Gregg C Fonarow; Adrian F Hernandez; Eric D Peterson; Gillian D Sanders; Clyde W Yancy; Sana M Al-Khatib
Journal:  Circ Heart Fail       Date:  2016-01       Impact factor: 8.790

3.  Associations between worsening renal function and 30-day outcomes among Medicare beneficiaries hospitalized with heart failure.

Authors:  Uptal D Patel; Melissa A Greiner; Gregg C Fonarow; Hemant Phatak; Adrian F Hernandez; Lesley H Curtis
Journal:  Am Heart J       Date:  2010-07       Impact factor: 4.749

4.  Linkage of a Population-Based Cohort With Primary Data Collection to Medicare Claims: The Reasons for Geographic and Racial Differences in Stroke Study.

Authors:  Fenglong Xie; Lisandro D Colantonio; Jeffrey R Curtis; Monika M Safford; Emily B Levitan; George Howard; Paul Muntner
Journal:  Am J Epidemiol       Date:  2016-09-19       Impact factor: 4.897

5.  Discharge to a skilled nursing facility and subsequent clinical outcomes among older patients hospitalized for heart failure.

Authors:  Larry A Allen; Adrian F Hernandez; Eric D Peterson; Lesley H Curtis; David Dai; Frederick A Masoudi; Deepak L Bhatt; Paul A Heidenreich; Gregg C Fonarow
Journal:  Circ Heart Fail       Date:  2011-03-29       Impact factor: 8.790

6.  Association of the Hospital Readmissions Reduction Program Implementation With Readmission and Mortality Outcomes in Heart Failure.

Authors:  Ankur Gupta; Larry A Allen; Deepak L Bhatt; Margueritte Cox; Adam D DeVore; Paul A Heidenreich; Adrian F Hernandez; Eric D Peterson; Roland A Matsouaka; Clyde W Yancy; Gregg C Fonarow
Journal:  JAMA Cardiol       Date:  2018-01-01       Impact factor: 14.676

7.  Utility of socioeconomic status in predicting 30-day outcomes after heart failure hospitalization.

Authors:  Zubin J Eapen; Lisa A McCoy; Gregg C Fonarow; Clyde W Yancy; Marie Lynn Miranda; Eric D Peterson; Robert M Califf; Adrian F Hernandez
Journal:  Circ Heart Fail       Date:  2015-03-06       Impact factor: 8.790

8.  Relationships between emerging measures of heart failure processes of care and clinical outcomes.

Authors:  Adrian F Hernandez; Bradley G Hammill; Eric D Peterson; Clyde W Yancy; Kevin A Schulman; Lesley H Curtis; Gregg C Fonarow
Journal:  Am Heart J       Date:  2010-03       Impact factor: 4.749

9.  Design and rationale of studies of neurohormonal blockade and outcomes in diastolic heart failure using OPTIMIZE-HF registry linked to Medicare data.

Authors:  Yan Zhang; Meredith L Kilgore; Tarun Arora; Marjan Mujib; O James Ekundayo; Inmaculada B Aban; Margaret A Feller; Ravi V Desai; Thomas E Love; Richard M Allman; Gregg C Fonarow; Ali Ahmed
Journal:  Int J Cardiol       Date:  2011-11-25       Impact factor: 4.164

10.  Use of Oral Anticoagulation in Eligible Patients Discharged With Heart Failure and Atrial Fibrillation.

Authors:  Nancy Luo; Haolin Xu; Hani Jneid; Gregg C Fonarow; Renato D Lopes; Jonathan P Piccini; Anne B Curtis; Andrea M Russo; William R Lewis; Roland A Matsouaka; Christopher B Granger; Robert J Mentz; Sana M Al-Khatib
Journal:  Circ Heart Fail       Date:  2018-10       Impact factor: 8.790

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