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

ABSTRACT: 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.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).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.

SUBMITTER: Curtis LH

PROVIDER: S-EPMC2801895 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature

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

Curtis Lesley H LH Greiner Melissa A MA Hammill Bradley G BG DiMartino Lisa D LD Shea Alisa M AM Hernandez Adrian F AF Fonarow Gregg C GC

Circulation. Cardiovascular quality and outcomes 20090609 4

<h4>Background</h4>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.<h4>Methods and results</h4>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 ...[more]

PMID: 20031864

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Project description:ObjectivesThis study sought to determine the degree to which U.S. patients enrolled in a heart failure (HF) trial represent patients in routine U.S. clinical practice according to race and sex.BackgroundBlack patients and women are frequently under-represented in HF clinical trials. However, the degree to which black patients and women enrolled in trials represent such patients in routine practice is unclear.MethodsThe ASCEND-HF (Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure) trial randomized patients hospitalized for HF to receive nesiritide or placebo from May 2007 to August 2010 and was neutral for clinical endpoints. This analysis compared non-Hispanic white (n = 1,494) and black (n = 1,012) patients enrolled in ASCEND-HF from the U.S. versus non-Hispanic white and black patients included in a U.S. hospitalized HF registry (i.e., Get With The Guidelines-Heart Failure [GWTG-HF]) during the ASCEND-HF enrollment period and meeting trial eligibility criteria.ResultsAmong 79,291 white and black registry patients, 49,063 (62%) met trial eligibility criteria (white, n = 37,883 [77.2%]; black, n = 11,180 [22.8%]). Women represented 35% and 49% of the ASCEND-HF and trial-eligible GWTG-HF cohorts, respectively. Compared with trial-enrolled patients, trial-eligible GWTG-HF patients tended to be older with higher blood pressure and higher ejection fraction. Trial-eligible patients had higher in-hospital mortality (2.3% vs. 1.3%), 30-day readmission (20.2% vs. 16.8%), and 180-day mortality (21.2% vs. 18.6%) than those enrolled in the trial (all p < 0.02), with consistent mortality findings by race and sex. After propensity score matching, mortality rates were similar; however, trial-eligible patients continued to have higher rates of 30-day readmission (23.1% vs. 17.3%; p < 0.01), driven by differences among black patients and women (all p for interaction ≤0.02).ConclusionsPatients with HF seen in U.S. practice and eligible for the ASCEND-HF trial had worse clinical outcomes than those enrolled in the trial. After accounting for clinical characteristics, trial-eligible real-world patients continued to have higher rates of 30-day readmission, driven by differences among black patients and women. Social, behavioral, and other unmeasured factors may impair representativeness of patients enrolled in HF trials, particularly among racial/ethnic minorities and women. (Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure [ASCEND-HF]; NCT00475852).

Project description:BackgroundThe frequency of heart failure (HF) in Tunisia is on the rise and has now become a public health concern. This is mainly due to an aging Tunisian population (Tunisia has one of the oldest populations in Africa as well as the highest life expectancy in the continent) and an increase in coronary artery disease and hypertension. However, no extensive data are available on demographic characteristics, prognosis, and quality of care of patients with HF in Tunisia (nor in North Africa).ObjectiveThe aim of this study was to analyze, follow, and evaluate patients with HF in a large nation-wide multicenter trial.MethodsA total of 1700 patients with HF diagnosed by the investigator will be included in the National Tunisian Registry of Heart Failure study (NATURE-HF). Patients must visit the cardiology clinic 1, 3, and 12 months after study inclusion. This follow-up is provided by the investigator. All data are collected via the DACIMA Clinical Suite web interface.ResultsAt the end of the study, we will note the occurrence of cardiovascular death (sudden death, coronary artery disease, refractory HF, stroke), death from any cause (cardiovascular and noncardiovascular), and the occurrence of a rehospitalization episode for an HF relapse during the follow-up period. Based on these data, we will evaluate the demographic characteristics of the study patients, the characteristics of pathological antecedents, and symptomatic and clinical features of HF. In addition, we will report the paraclinical examination findings such as the laboratory standard parameters and brain natriuretic peptides, electrocardiogram or 24-hour Holter monitoring, echocardiography, and coronarography. We will also provide a description of the therapeutic environment and therapeutic changes that occur during the 1-year follow-up of patients, adverse events following medical treatment and intervention during the 3- and 12-month follow-up, the evaluation of left ventricular ejection fraction during the 3- and 12-month follow-up, the overall rate of rehospitalization over the 1-year follow-up for an HF relapse, and the rate of rehospitalization during the first 3 months after inclusion into the study.ConclusionsThe NATURE-HF study will fill a significant gap in the dynamic landscape of HF care and research. It will provide unique and necessary data on the management and outcomes of patients with HF. This study will yield the largest contemporary longitudinal cohort of patients with HF in Tunisia.Trial registrationClinicalTrials.gov NCT03262675; https://clinicaltrials.gov/ct2/show/NCT03262675.International registered report identifier (irrid)DERR1-10.2196/12262.

Project description:Background Randomized clinical trials in populations with heart failure with reduced ejection fraction may not be reflective of the general population with heart failure with reduced ejection fraction. Our study assessed the representativeness of the GALACTIC-HF (Global Approach to Lowering Adverse Cardiac Outcomes Through Improving Contractility in Heart Failure) patient population in Kaiser Permanente Southern California. Methods and Results We identified 9770 patients with a diagnosis of heart failure with reduced ejection fraction from 2014 to 2018 using electronic health records. Four mutually exclusive cohorts were created, including GALACTIC-HF-ineligible cohorts: (1) not taking guideline-directed medical therapy (GDMT) and (2) taking GDMT; and GALACTIC-HF-eligible cohorts with: (3) ejection fraction (EF) ≤28% and (4) EF 29% to 35%. Patients were followed for 30-day and 1-year mortality and 30-day, 180-day, and 1-year hospitalization. Overall, 3626 (37.1%) met GALACTIC-HF inclusion criteria with EF ≤35%, and 2367 (65.3%) of those individuals had EF ≤28%. The risk of 1-year mortality was lower among all cohorts versus the GALACTIC-HF-ineligible cohort not taking GDMT (hazard ratio, 0.80 [95% CI, 0.70-0.91], 0.84 [95% CI, 0.72-0.98], and 0.62 [95% CI, 0.51-0.75] for the GALACTIC-HF-ineligible cohort taking GDMT and GALACTIC-HF-eligible cohorts with EF ≤28% and 29%-35%, respectively). Compared with the GALACTIC-HF-ineligible cohort not taking GDMT, the short-term hospitalization risk at 30 and 180 days were similar for both GALACTIC-HF-eligible cohorts and the hospitalization risk at 1 year was similar for the GALACTIC-HF-eligible cohort with EF ≤28%. Conclusions A large portion of patients with heart failure with reduced ejection fraction with low EF met inclusion criteria for the GALACTIC-HF trial and, despite being on GDMT, had hospitalization rates similar to those not taking GDMT, suggesting potential benefits from other innovative treatments.

Project description:Background QRS duration (QRSd) is a marker of electrical remodeling in heart failure. Anthropometrics and left ventricular size may influence QRSd and, in turn, may influence the association between QRSd and heart failure outcomes. Methods and Results Using the prospective, multicenter, multinational ASIAN-HF (Asian Sudden Cardiac Death in Heart Failure) registry, this study evaluated whether electroanatomic ratios (QRSd indexed for height or left ventricular end-diastole volume) are associated with 1-year mortality in individuals with heart failure with reduced ejection fraction. The study included 4899 individuals (aged 60±19 years, 78% male, mean left ventricular ejection fraction: 27.3±7.1%). In the overall cohort, QRSd was not associated with all-cause mortality (hazard ratio [HR], 1.003; 95% CI, 0.999-1.006, P=0.142) or sudden cardiac death (HR, 1.006; 95% CI, 1.000-1.013, P=0.059). QRS/height was associated with all-cause mortality (HR, 1.165; 95% CI, 1.046-1.296, P=0.005 with interaction by sex pinteraction=0.020) and sudden cardiac death (HR, 1.270; 95% CI, 1.021-1.580, P=0.032). QRS/left ventricular end-diastole volume was associated with all-cause mortality (HR, 1.22; 95% CI, 1.05-1.43, P=0.011) and sudden cardiac death (HR, 1.461; 95% CI, 1.090-1.957, P=0.011) in patients with nonischemic cardiomyopathy but not in patients with ischemic cardiomyopathy (all-cause mortality: HR, 0.94; 95% CI, 0.79-1.11, P=0.467; sudden cardiac death: HR, 0.734; 95% CI, 0.477-1.132, P=0.162). Conclusions Electroanatomic ratios of QRSd indexed for body size or left ventricular size are associated with mortality in individuals with heart failure with reduced ejection fraction. In particular, increased QRS/height may be a marker of high risk in individuals with heart failure with reduced ejection fraction, and QRS/left ventricular end-diastole volume may further risk stratify individuals with nonischemic heart failure with reduced ejection fraction. Registration URL: https://Clinicaltrials.gov. Unique identifier: NCT01633398.

Dataset Information

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

Publications

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

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