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Do Self-Management Interventions Work in Patients With Heart Failure? An Individual Patient Data Meta-Analysis.

ABSTRACT: Self-management interventions are widely implemented in the care for patients with heart failure (HF). However, trials show inconsistent results, and whether specific patient groups respond differently is unknown. This individual patient data meta-analysis assessed the effectiveness of self-management interventions in patients with HF and whether subgroups of patients respond differently.A systematic literature search identified randomized trials of self-management interventions. Data from 20 studies, representing 5624 patients, were included and analyzed with the use of mixed-effects models and Cox proportional-hazard models, including interaction terms. Self-management interventions reduced the risk of time to the combined end point of HF-related hospitalization or all-cause death (hazard ratio, 0.80; 95% confidence interval [CI], 0.71-0.89), time to HF-related hospitalization (hazard ratio, 0.80; 95% CI, 0.69-0.92), and improved 12-month HF-related quality of life (standardized mean difference, 0.15; 95% CI, 0.00-0.30). Subgroup analysis revealed a protective effect of self-management on the number of HF-related hospital days in patients <65 years of age (mean, 0.70 versus 5.35 days; interaction P=0.03). Patients without depression did not show an effect of self-management on survival (hazard ratio for all-cause mortality, 0.86; 95% CI, 0.69-1.06), whereas in patients with moderate/severe depression, self-management reduced survival (hazard ratio, 1.39; 95% CI, 1.06-1.83, interaction P=0.01).This study shows that self-management interventions had a beneficial effect on time to HF-related hospitalization or all-cause death and HF-related hospitalization alone and elicited a small increase in HF-related quality of life. The findings do not endorse limiting self-management interventions to subgroups of patients with HF, but increased mortality in depressed patients warrants caution in applying self-management strategies in these patients.

SUBMITTER: Jonkman NH

PROVIDER: S-EPMC5180429 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Project description:BackgroundCompared to subgroup analyses in a single study or in a traditional meta-analysis, an individual patient data meta-analysis (IPDMA) offers important potential advantages. We studied how many IPDMAs report on surgical interventions, how many of those surgical IPDMAs perform subgroup analyses, and whether these subgroup analyses have changed decision-making in clinical practice.MethodsSurgical IPDMAs were identified using a comprehensive literature search. The last search was conducted on 24 April 2012. For each IPDMA included, we obtained information using a standardized data extraction form, and the quality of reporting was assessed. We also checked whether results were implemented in clinical guidelines.ResultsOf all 583 identified IPDMAs, 22 (4%) reported on a surgical intervention. Eighteen (82%) of these IPDMAs presented subgroup analyses. Subgroups were mainly based on patient and disease characteristics. The median number of reported subgroup analyses was 3.5 (IQR 1.25-6.5). Statistical methods for subgroup analyses were mentioned in 11 (61%) surgical IPDMAs.Eleven (61%) of the 18 IPDMAs performing subgroup analyses reported a significant overall effect estimate, whereas six (33%) reported a non-significant one. Of the IPDMAs that reported non-significant overall results, three IPDMAs (50%) reported significant results in one or more subgroup analyses. Results remained significant in one or more subgroups in eight of the IPDMAs (73%) that reported a significant overall result.Eight (44%) of the 18 significant subgroups appeared to be implemented in clinical guidelines. The quality of reporting among surgical IPDMAs varied from low to high quality.ConclusionMany of the surgical IPDMAs performed subgroup analyses, but overall treatment effects were more often emphasized than subgroup effects. Although, most surgical IPDMAs included in the present study have only recently been published, about half of the significant subgroups were already implemented in treatment guidelines.

Project description:CKD is common in patients with heart failure, associated with high mortality and morbidity, which is even higher in people undergoing long-term dialysis. Despite increasing use of evidence-based drug and device therapy in patients with heart failure in the general population, patients with CKD have not benefitted. This review discusses prevalence and evidence of kidney replacement, device, and drug therapies for heart failure in CKD. Evidence for treatment with β-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, angiotensin receptor neprilysin inhibitors, and sodium-glucose cotransporter inhibitors in mild-to-moderate CKD has emerged from general population studies in patients with heart failure with reduced ejection fraction (HFrEF). β-Blockers have been shown to improve outcomes in patients with HFrEF in all stages of CKD, including patients on dialysis. However, studies of HFrEF selected patients with creatinine <2.5 mg/dl for ACE inhibitors, <3.0 mg/dl for angiotensin-receptor blockers, and <2.5 mg/dl for mineralocorticoid receptor antagonists, excluding patients with severe CKD. Angiotensin receptor neprilysin inhibitor therapy was successfully used in randomized trials in patients with eGFR as low as 20 ml/min per 1.73 m2 Hence, the benefits of renin-angiotensin-aldosterone axis inhibitor therapy in patients with mild-to-moderate CKD have been demonstrated, yet such therapy is not used in all suitable patients because of fear of hyperkalemia and worsening kidney function. Sodium-glucose cotransporter inhibitor therapy improved mortality and hospitalization in patients with HFrEF and CKD stages 3 and 4 (eGFR>20 ml/min per 1.73 m2). High-dose and combination diuretic therapy, often necessary, may be complicated with worsening kidney function and electrolyte imbalances, but has been used successfully in patients with CKD stages 3 and 4. Intravenous iron improved symptoms in patients with heart failure and CKD stage 3; and high-dose iron reduced heart failure hospitalizations by 44% in patients on dialysis. Cardiac resynchronization therapy reduced death and hospitalizations in patients with heart failure and CKD stage 3. Peritoneal dialysis in patients with symptomatic fluid overload improved symptoms and prevented hospital admissions. Evidence suggests that combined cardiology-nephrology clinics may help improve management of patients with HFrEF and CKD. A multidisciplinary approach may be necessary for implementation of evidence-based therapy.

Project description:BackgroundHigher body mass index (BMI) is associated with better outcome compared with normal weight in patients with HF and other chronic diseases. It remains uncertain whether the apparent protective role of obesity relates to the absence of comorbidities. Therefore, we investigated the effect of BMI on outcome in younger patients without co-morbidities as compared to older patients with co-morbidities in a large heart failure (HF) population.MethodsIn an individual patient data analysis from pooled cohorts, 5,819 patients with chronic HF and data available on BMI, co-morbidities and outcome were analysed. Patients were divided into four groups based on BMI (i.e. ≤ 18.5 kg/m2, 18.5-25.0 kg/m2; 25.0-30.0 kg/m2; 30.0 kg/m2). Primary endpoints included all-cause mortality and HF hospitalization-free survival.ResultsMean age was 65 ± 12 years, with a majority of males (78%), ischaemic HF and HF with reduced ejection fraction. Frequency of all-cause mortality or HF hospitalization was significantly worse in the lowest two BMI groups as compared to the other two groups; however, this effect was only seen in patients older than 75 years or having at least one relevant co-morbidity, and not in younger patients with HF only. After including medications and N-terminal pro-B-type natriuretic peptide and high-sensitivity cardiac troponin concentrations into the model, the prognostic impact of BMI was largely absent even in the elderly group with co-morbidity.ConclusionsThe present study suggests that obesity is a marker of less advanced disease, but does not have an independent protective effect in patients with chronic HF. Categories of BMI are only predictive of poor outcome in patients aged > 75 years or with at least one co-morbidity (bottom), but not in those aged < 75 years without co-morbidities (top). The prognostic effect largely disappears in multivariable analyses even for the former group. These findings question the protective effect of obesity in chronic heart failure (HF).

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Do Self-Management Interventions Work in Patients With Heart Failure? An Individual Patient Data Meta-Analysis.

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