Evidence map›Paper›PMID 29532056›Full record

Observational studyJAMA cardiology2018

Association of Hospital Performance Based on 30-Day Risk-Standardized Mortality Rate With Long-term Survival After Heart Failure Hospitalization: An Analysis of the Get With The Guidelines-Heart Failure Registry.

Ambarish Pandey, Kershaw V Patel, Li Liang, Adam D DeVore, Roland Matsouaka, Deepak L Bhatt, Clyde W Yancy, Adrian F Hernandez, Paul A Heidenreich, James A de Lemos and 1 more

Abstract readObservational Study
In one paragraph

Observational study in JAMA cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
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  6. The significance of historical troponin elevation in acute heart failure: Not as reassuring as previously assumed.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ambarish PandeyDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas.
Kershaw V PatelDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas.
Li LiangDuke Clinical Research Institute, Durham, North Carolina.
Adam D DeVoreDuke Clinical Research Institute, Durham, North Carolina.
Roland MatsouakaDuke Clinical Research Institute, Durham, North Carolina.
Deepak L BhattBrigham and Women's Hospital Heart & Vascular Center and Harvard Medical School, Boston, Massachusetts.
Clyde W YancyDivision of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Adrian F HernandezDuke Clinical Research Institute, Durham, North Carolina.
Paul A HeidenreichDivision of Cardiology, Stanford University, Palo Alto, California.
James A de LemosDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas.
Gregg C FonarowAhmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, University of California, Los Angeles.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Among patients hospitalized with heart failure (HF), the long-term clinical implications of hospitalization at hospitals based on 30-day risk-standardized mortality rates (RSMRs) is not known. Objective: To evaluate the association of hospital-specific 30-day RSMR with long-term survival among patients hospitalized with HF in the American Heart Association Get With The Guidelines-HF registry. Design, Setting, and Participants: The longitudinal observational study included 106 304 patients with HF who were admitted to 317 centers participating in the Get With The Guidelines-HF registry from January 1, 2005, to December 31, 2013, and had Medicare-linked follow-up data. Hospital-specific 30-day RSMR was calculated using a hierarchical logistic regression model. In the model, 30-day mortality rate was a binary outcome, patient baseline characteristics were included as covariates, and the hospitals were treated as random effects. The association of 30-day RSMR-based hospital groups (low to high 30-day RSMR: quartile 1 [Q1] to Q4) with long-term (1-year, 3-year, and 5-year) mortality was assessed using adjusted Cox models. Data analysis took place from June 29, 2017, to February 19, 2018. Exposures: Thirty-day RSMR for participating hospitals. Main Outcomes and Measures: One-year, 3-year, and 5-year mortality rates. Results: Of the 106 304 patients included in the analysis, 57 552 (54.1%) were women and 84 595 (79.6%) were white, and the median (interquartile range) age was 81 (74-87) years. The 30-day RSMR ranged from 8.6% (Q1) to 10.7% (Q4). Hospitals in the low 30-day RSMR group had greater availability of advanced HF therapies, cardiac surgery, and percutaneous coronary interventions. In the primary landmarked analyses among 30-day survivors, there was a graded inverse association between 30-day RSMR and long-term mortality (Q1 vs Q4: 5-year mortality, 73.7% vs 76.8%). In adjusted analysis, patients admitted to hospitals in the high 30-day RSMR group had 14% (95% CI, 10-18) higher relative hazards of 5-year mortality compared with those admitted to hospitals in the low 30-day RSMR group. Similar findings were observed in analyses of survival from admission, with 22% (95% CI, 18-26) higher relative hazards of 5-year mortality for patients admitted to Q4 vs Q1 hospitals. Conclusions and Relevance: Lower hospital-level 30-day RSMR is associated with greater 1-year, 3-year, and 5-year survival for patients with HF. These differences in 30-day survival continued to accrue beyond 30 days and persisted long term, suggesting that 30-day RSMR may be a useful HF performance metric to incentivize quality care and improve long-term outcomes.

Indexed as

HospitalizationQuality of Health CareRegistriesAgedAged, 80 and overAmerican Heart AssociationFemaleGuideline AdherenceHeart FailureHospital MortalityHumansLogistic ModelsLongitudinal StudiesMalePractice Guidelines as TopicSurvival Rate

Identifiers

PMID29532056
PMCPMC5875302

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.