Evidence map›Paper›PMID 24555428›Full record

ArticleBMC health services research2014

Outcomes associated with comorbid atrial fibrillation and heart failure in Medicare beneficiaries with acute coronary syndrome.

Shih-Yin Chen, Concetta Crivera, Michael Stokes, Luke Boulanger, Jeff Schein

Abstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Review of the Relationship of Atrial Fibrillation and Acute Coronary Syndrome.Current emergency and hospital medicine reports · 2016
    Article
  6. Observational
  7. Article
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

5 authors.

Shih-Yin ChenEvidera, 430 Bedford Street Suite 300, Lexington, MA 02420, USA. Shih-Yin.Chen@evidera.com.
Concetta Crivera
Michael Stokes
Luke Boulanger
Jeff Schein

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) and heart failure (HF) are both common comorbid conditions of elderly patients with acute coronary syndrome (ACS), but published data on their associated clinical and economic outcomes are limited.

methodsOur study included patients from the Medicare Current Beneficiary Survey with an incident hospitalization for ACS between 03/01/2002 and 12/31/2006. Applying population weights, we identified 795 incident ACS patients, representing more than 2.5 million Medicare beneficiaries. Of this population, 13.1% had comorbid AF, and 22.9% had HF, which were identified from Medicare claims during the 6 months prior to the first ACS event (index date) Subsequent cardiovascular (CV) hospitalizations and mortality were compared using Kaplan-Meier curves. Cox proportional hazards regressions were used to estimate the relative risk of AF and HF on CV events and mortality. Healthcare costs were summarized for the calendar year in which the incident ACS event occurred.

resultsHF was associated with a 41% higher risk of mortality (HR = 1.41; 95% confidence interval [CI] 1.05-1.89). Both AF (HR = 1.46; 95% CI 1.14-1.87) and HF (HR = 1.61; 95% CI 1.26-2.06) were associated with higher risks of subsequent CV events. During the year of the incident ACS event, ACS patients with comorbid AF or HF had approximately $18,000 higher total healthcare costs than those without these comorbidities.

conclusionUsing a nationally representative sample of Medicare beneficiaries, we observed a significantly higher clinical and economic burden of patients hospitalized for ACS with comorbid AF and HF compared with those without these conditions.

Indexed as

Acute Coronary SyndromeAgedAtrial FibrillationComorbidityFemaleHealth Care CostsHeart FailureHospitalizationHumansKaplan-Meier EstimateMaleMedicarePatient Outcome AssessmentProportional Hazards ModelsRetrospective StudiesRisk

Identifiers

PMID24555428
PMCPMC3944778

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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.