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Pre-Discharge Evaluation in Heart Failure – Additive Predictive Value of the 6-Minute Walking Test to Clinical Scores.

Circulation journal : official journal of the Japanese Circulation Society
January 1, 2015
Maria Teresa La Rovere et al. (7 authors)
Clinical TrialJournal ArticleHuman StudyClinical
Study Details

Study Goal

The researchers aimed to determine if adding a 6-minute walking test (6MWT) to clinical scores improves the prediction of 12-month mortality in heart failure (HF) patients.

Results Summary

The study found that the 6MWT significantly improved predictive discrimination and risk classification when combined with clinical scores (3C-HF and MAGGIC). Mortality rates differed based on whether patients walked < or ≥376 meters in intermediate and high-risk strata.

Population

466 consecutive HF patients

Effective Dosage

Not specified

Duration

Pre-discharge assessment (single test)

Interactions

None mentioned

Extracted Claims (9)
InterventionDirectionEndpointPopulationDosageImpactClaim #
3C-HF score
increase
all-cause mortality
HF patients
hazard ratio of 2.650 [95%CI 1.879-3.737] for each one SD increase
predicted
#1
MAGGIC score
increase
all-cause mortality
HF patients
hazard ratio of 2.754 [95%CI 1.870-4.056] for each one SD increase
predicted
#2
6-minute walking test (6MWT)
decrease
all-cause mortality
HF patients
hazard ratio of 2.080 [95% CI 1.619-2.671] for each one SD decrease in the meters walked
predicted
#3
addition of a 6MWT to the 3C-HF score
increase
predictive discrimination
HF patients
c-index 0.793 [95% CI 0.722-0.864]
significantly improved
#4
addition of a 6MWT to the 3C-HF score
increase
risk classification
HF patients
integrated discrimination improvement, IDI 0.052 [95% CI 0.024-0.101]
improved
#5
addition of a 6MWT to the MAGGIC score
increase
predictive discrimination
HF patients
c-index 0.802 [95% CI 0.733-0.871]
significantly improved
#6
addition of a 6MWT to the MAGGIC score
increase
risk classification
HF patients
integrated discrimination improvement, IDI 0.046 [95% CI 0.020-0.102]
improved
#7
distance walked <376 m
increase
mortality rates
HF patients in intermediate and high risk strata
-
significantly differed
#8
pre-discharge evaluation combining the 6MWT to clinical scores
increase
prediction of 12-month mortality
HF patients
-
improves
#9
Abstract

BACKGROUND: We aimed to investigate whether the assessment of functional capacity by the 6-minute walking test (6MWT) might improve the predictive ability of 2 validated clinical scores for risk stratification in heart failure (HF). METHODS AND RESULTS: The Cardiac and Comorbid Conditions HF (3C-HF) and the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) scores were evaluated in 466 consecutive HF patients who completed a pre-discharge 6MWT. The 12-month event rate was 7.7%. Both the 2 scores and the 6MWT predicted all-cause mortality (all P<0.0001), with a hazard ratio of 2.650 [95%CI 1.879-3.737], 2.754 [95%CI 1.870-4.056] for each one SD increase in the 3C-HF and MAGGIC, respectively, and of 2.080 [95% CI 1.619-2.671] for each one SD decrease in the meters walked. The addition of a 6MWT to both the 3C-HF and MAGGIC scores significantly improved predictive discrimination (c-index 0.793 [95% CI 0.722-0.864] and 0.802 [95% CI 0.733-0.871], respectively) and risk classification (integrated discrimination improvement, IDI 0.052 [95% CI 0.024-0.101] and 0.046 [95% CI 0.020-0.102], respectively). In the intermediate and high risk strata identified on the basis of both the 3C-HF and MAGGIC scores, mortality rates significantly differed according to a distance walked < or ≥376 m. CONCLUSIONS: In HF patients, a pre-discharge evaluation combining the 6MWT to clinical scores improves prediction of 12-month mortality.

Medical Subject Headings (MeSH)
AgedDisease-Free SurvivalExercise TestFemaleHeart FailureHumansMaleMiddle AgedPatient DischargePredictive Value of TestsProspective StudiesRetrospective StudiesSurvival RateWalking
Study Links
Quality Scores
SafetyNot Assessed
Efficacy85/10
Quality80/10
Citation Metrics
Total Citations8
Citations/Year0.8
Relative Citation Ratio0.28
NIH Percentile14.9%
Research Impact Scores
APT Score0.50
Weight Score1.63
Normalized Score0.70
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