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November 11, 2010ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)257 citations

Factors Associated With Outcome in Heart Failure With Preserved Ejection Fraction

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MKMichel KomajdaPCPeter E. CarsonSHScott Hetzel

Key Result

Multivariable risk models using clinical and biological variables, including log NT-proBNP, age, and diabetes, accurately stratified the 3-year rate of primary outcomes from 8.1% to 59.9%.

Key Points

  • This research aims to identify factors influencing outcomes in patients with heart failure and preserved ejection fraction (HF-PEF).
  • Data from 4128 patients in the I-PRESERVE trial was analyzed.
  • Multivariable Cox regression models evaluated 58 baseline demographic, clinical, and biological variables.
  • Primary outcomes included all-cause mortality and cardiovascular hospitalization.
  • Primary outcome event rates varied from 8.1% to 59.9% across predicted risk septiles.
  • Significant factors for all-cause mortality included log N-terminal pro–B-type natriuretic peptide, age, diabetes mellitus, and left ventricular EF.
  • Other independent poor outcome factors included quality of life, chronic obstructive lung disease history, log neutrophil count, heart rate, and estimated glomerular filtration rate.

Study Design

Type

Cohort (n=4,128)

Structured PICO

P
Population
4128 elderly patients with heart failure and preserved ejection fraction (HF-PEF) enrolled in the I-PRESERVE trial
O
Outcome
All-cause mortality or cardiovascular hospitalizationcomposite

Simple clinical and biological variables, notably NT-proBNP, age, diabetes, and prior HF hospitalization, strongly predict outcomes and can accurately risk-stratify patients with HFpEF.

Abstract

Background— The determinants of prognosis in patients with heart failure and preserved ejection fraction (HF-PEF) are poorly documented. Methods and Results— We evaluated data from 4128 patients in the I-PRESERVE trial (Irbesartan in Heart Failure with Preserved Ejection Fraction Study). Multivariable Cox regression models were developed using 58 baseline demographic, clinical, and biological variables to model the primary outcome of all-cause mortality or cardiovascular hospitalization (1505 events), all-cause mortality (881 events), and HF death or hospitalization (716 events). Log N-terminal pro–B-type natriuretic peptide, age, diabetes mellitus, and previous hospitalization for HF were the most powerful factors associated with the primary outcome and with the HF composite. For all-cause mortality, log N-terminal pro–B-type natriuretic peptide, age, diabetes mellitus, and left ventricular EF were the strongest independent factors. Other independent factors associated with poor outcome included quality of life, a history of chronic obstructive lung disease, log neutrophil count, heart rate, and estimated glomerular filtration rate. The models accurately stratified the actual 3-year rate of outcomes from 8.1% to 59.9% (primary outcome) 2.7% to 36.5% (all-cause mortality), and 2.1% to 38.9% (HF composite) for the lowest to highest septiles of predicted risks. Conclusions— In a large sample of elderly patients with HF and preserved EF enrolled in I-Preserve, simple clinical, demographic, and biological variables were associated with outcome and identified subgroups at very high and very low risk of events. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT00095238.

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Cite This Study

Komajda et al. (2010) conducted a cohort in Heart failure with preserved ejection fraction (n=4,128). Prognostic risk stratification models was evaluated on All-cause mortality or cardiovascular hospitalization. Multivariable risk models using clinical and biological variables, including log NT-proBNP, age, and diabetes, accurately stratified the 3-year rate of primary outcomes from 8.1% to 59.9%.

synapsesocial.com/papers/6a0b98d05f2af8d200c1fcfehttps://doi.org/10.1161/circheartfailure.109.932996
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