Literature DB >> 31978280

Heart failure disease management: a systematic review of effectiveness in heart failure with preserved ejection fraction.

Fotini Kalogirou1, Faye Forsyth1,2, Martha Kyriakou3,4, Rhys Mantle5, Christi Deaton1,2.   

Abstract

AIMS: Heart failure with preserved ejection fraction (HFpEF) poses a substantial challenge for clinicians, but there is little guidance for effective management. The aim of this systematic review was to determine if there was evidence that disease management programmes (DMPs) improved outcomes for patients with HFpEF. METHODS AND
RESULTS: A systematic review of controlled studies in English or Greek of DMPs including patients with HFpEF from 2008 to 2018 was conducted using CINAHL, Cochrane, MEDLINE, and Embase. Interventions were assessed using a DMP taxonomy and scored for complexity and intensity. Bias was assessed using the Cochrane Collaboration tool. Initial and updated searches found 6089 titles once duplicates were removed. The final analysis included 18 studies with 5435 HF patients: 1866 patients (34%, study ranges 18-100%) had potential HFpEF (limited by variable definitions). Significant heterogeneity in terms of the population, intervention, comparisons, and outcomes prohibited meta-analysis. Statistically significant or positive trends were found in mortality, hospitalization rates, self-care ability, quality of life, anxiety, depression, and sleep, but findings were not robust or consistent. Four studies reported results separately for study-defined HFpEF, with two finding less positive effect on outcomes.
CONCLUSIONS: Varying definitions of HFpEF used in studies are a substantial limitation in interpretation of findings. The reduced efficacy noted in contemporary HF DMP studies may not only be due to improvements in usual care but may also reflect inclusion of heterogeneous patients with HFpEF or HF with mid-range EF who may not respond in the same way as HFrEF to individual components. Given that patients with HFpEF are older and multi-morbid, DMPs targeting HFpEF should not rely on a single-disease focus but provide care that addresses predisposing and presentation phenotypes and draws on the principles of comprehensive geriatric assessment. Other components could also be more targeted to HFpEF such as modification of lifestyle factors for which there is emerging evidence, rather than simply continuing the model of care used in HFrEF. Based on current evidence, HF DMPs may improve mortality, hospitalization rates, self-care, and quality of life in patients with HFpEF; however, further research specifically tailored to appropriately defined HFpEF is required.
© 2020 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Disease management; Heart failure; Heart failure with preserved ejection fraction; Systematic review

Mesh:

Year:  2020        PMID: 31978280      PMCID: PMC7083420          DOI: 10.1002/ehf2.12559

Source DB:  PubMed          Journal:  ESC Heart Fail        ISSN: 2055-5822


Introduction

Heart failure with preserved ejection fraction (HFpEF) is an increasingly prevalent condition that poses a substantial challenge for clinicians. Despite composing half of all patients with heart failure (HF), it remains less well recognized and understood.1, 2 Patients with HFpEF are more likely to be older, female, and have multiple co‐morbid conditions, and no drugs have yet been shown to improve morbidity and mortality.3, 4 Symptom burden and adverse outcomes are similar to patients with HF with a reduced ejection fraction (HFrEF).5, 6 Analysis of a large cohort of hospitalized patients with HFpEF (n = 53 065) found a 30 day and 1 year all‐cause readmission rate of 22% and 67% respectively and a composite all‐cause readmission and mortality rate of 74.5% at 1 year.7 Current recommendations for management of HFpEF are to control cardiovascular and non‐cardiovascular co‐morbidities and use diuretics to manage fluid status.8 Although multi‐disciplinary team (MDT) disease management programmes to reduce the risk of hospitalization and mortality are recommended for patients with HF, there is little information about their effectiveness specifically in HFpEF.8 Disease management programmes (DMP) are designed to ‘improve outcomes through structured follow‐up with patient education, optimization of medical treatment, psychosocial support and improved access to care’.9 Most HF DMPs in the 1990s–early 2000s focused on patients with HFrEF10 usually after an HF hospitalization. Outcomes for patients with HFrEF were improved through multi‐component DMPs that included the following: optimization of evidence‐based treatment (emphasis on medications for HFrEF), education, behaviour change, supported self‐management, and clinician monitoring. In previous systematic reviews, HF DMPs were found to significantly reduce HF hospitalizations, and those with continued specialized follow‐up reduced all‐cause mortality and all‐cause hospitalization.10, 11 However, some reviews have found limited or no benefit, especially in studies after 2008, in studies with <3 months of follow‐up, or in patients without a recent hospitalization.12, 13 In HF DMPs, it can be challenging to ascertain if the sample included patients with HFpEF, given relatively recent use of the term and controversies over diagnostic criteria. HFrEF is a more tempting target because of robust evidence for specific pharmacological therapies in reducing mortality and morbidity. Thus, little is known about the use and effectiveness of HF DMPs in patients with HFpEF in improving outcomes. The aim of this analysis was to determine if there was evidence that HF DMPs improved outcomes specifically for patients with HFpEF. The review questions were as follows: Do MDT or nurse‐led DMPs for patients with HFpEF result in better outcomes for patients compared with usual care or another intervention? What are the components and processes of successful MDT or nurse‐led DMPs for patients with HFpEF?

Methods

The review protocol was registered on Prospero (http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42017067980). The systematic review was conducted and reported in accordance to the PRISMA guidelines (http://www.prisma-statement.org/). The years 2008 to 2018 were chosen to reflect contemporary management of HF, increasing attention to HFpEF, and recommendations for HF DMPs in guidelines for management of HF.14 Language was restricted to English or Greek. Studies of community‐dwelling adults with HFpEF were included, as were studies with a mixed HF population if the proportion of patients with HFpEF was discernible, and represented approximately 20% or greater of the total sample. The intervention had to be an MDT or nurse‐led outpatient DMP with a minimum of 3 months of follow‐up and a control group for comparison. Single interventions composed only of pharmacotherapy, exercise, invasive monitoring, end‐of‐life care, or telemonitoring alone were excluded. Interventions were assessed using a taxonomy of DMPs9 and scored for intensity and complexity.15 Final consensus on findings, interpretation, and text were agreed by all authors.

Information sources, search strategy, and study selection

The following databases were searched from January 2017 to May 2018: CINAHL through EBSCO, Cochrane, MEDLINE, and Embase through Ovid. References in included articles were hand searched. The following terms along with synonyms and relevant terms were applied: HF, primary care, randomized controlled trials, disease management, nurse, and multi‐disciplinary. Titles and abstracts were reviewed by two authors (F. K. and C. D.), and full‐text papers were reviewed by at least two of the authors.

Data process

The Cochrane data extraction form was revised to align with the aims of the current review and pilot tested. Data were abstracted and cross‐checked by at least two authors independently. Bias was assessed using the Cochrane Collaboration tool16 by at least two authors on the following fields: (i) random sequence generation, (ii) allocation concealment, (iii) blinding of participants and personnel, (iv) blinded outcome assessment, (v) selective outcome reporting, (vi) incomplete outcome data, and (vii) other bias.

Results

Initial and updated searches found 7617 titles, with 6089 titles once duplicates were removed. The majority (5791) were excluded following title review. Abstracts (192) were screened in detail for eligibility, and 95 full‐text papers were reviewed. Reasons for exclusion of papers can be found in Figure . An additional 20 papers from references were reviewed. The final analysis included 18 studies in 18 papers with 5435 patients with HF, 1866 of whom were considered by the study to have HFpEF (34%).
Figure 1

Results of the systematic search strategy and study selection process. DMP, disease management programme; HF, heart failure; HFpEF, heart failure with preserved ejection fraction; LVSD, left ventricular systolic dysfunction.

Results of the systematic search strategy and study selection process. DMP, disease management programme; HF, heart failure; HFpEF, heart failure with preserved ejection fraction; LVSD, left ventricular systolic dysfunction.

Inclusion of patients with heart failure with preserved ejection fraction

Only one study focused exclusively on patients with HFpEF; 17 other studies included and documented numbers of patients characterized as HFpEF based on study criteria. When studies stated that they included patients with HFpEF without documenting percentage or number, authors were contacted for information. The proportion of patients with HFpEF varied from 18% to 100% and was variably defined in the studies (Table 1). No studies defined HFpEF in line with the current European Society of Cardiology (ESC) guidelines, which include the following criteria: signs and symptoms of HF, a left ventricular EF ≥ 50%, elevated levels of natriuretic peptides and either relevant structural heart disease (left ventricular hypertrophy and/or left atrial enlargement), and/or diastolic dysfunction on echocardiogram.8 Four studies included some analysis specific to patients with HFpEF, with three of these in comparison with HFrEF. Five studies had samples that were predominantly patients with HFpEF (64–84%) as defined by the study, although only one included discussion of issues specific to HFpEF.
Table 1

Identification of HF and HFpEF in selected studies

StudyCountrySample sizeIdentification of patients with HFHFpEF definition/criteriaProportion HFpEF (%)Separate results given for HFpEF
Andryukhin et al. (2010)Russia N = 100Patients included if had signs and symptoms of HF, EF ≥ 50%, and echo evidence of DD, LV stiffness, or abnormal LV relaxationSigns and symptoms of HF, EF ≥ 50%, and echo evidence of DD, LV stiffness, or abnormal LV relaxation100%Yes
Bekelman et al. (2015)USA N = 392Inpatient or outpatient diagnosis of HF, any typeEF ≥ 50%47% (163 of 348 patients with EF measured)No
Bekelman et al. (2018)USA N = 314Symptomatic outpatients with HF, used dx + data on meds, EF, and BNPEF ≥ 50%40% (n = 121)Intervention effect on KCCQ differed by EF, with less effect in HFpEF
Brotons et al. (2009)Spain N = 283Hospitalized for suspected HF, with HF as primary or second discharge diagnosisEF ≥ 50%41% (n = 117)No
Chang et al. (2016)Taiwan N = 84Recruited from cardiology outpatient department, with cardiology confirmed dx of HFEF ≥ 50%55% (n = 46)No
Dracup et al. (2014)USA N = 602Recruited from clinics and hospitals, needed hospitalization for HF within last 6 monthsEF ≥ 40%49% (n = 295)HF group (by EF < 40% or ≥40%) added as a covariate; no difference between HFpEF and HFrEF
Freedland et al. (2015)USA N = 158Recruited from single medical centre, dx with HF within last 3 monthsEF ≥ 45%46% (n = 73)No
Gonzalez‐Guerrero et al. (2015)Spain N = 117Hospitalized with acute HF (ESC criteria) in a single centreNot specifically defined67% (n = 77)No
Jaarsma et al. (2008)The Netherlands N = 1023Recruited during hospital admission for HF (signs and symptoms of HF, plus evidence of structural underlying heart disease on imaging)Not specified in original paper, but secondary analysis used EF ≥ 40% for HFpEFA secondary analysis of 661 patients found 33% with HFpEF (n = 218)No
Kalter‐Leibovici et al. (2017)Israel N = 1360Recruited from public hospitals, primary care, and community cardiologists within 2 months after HF hospitalization; dx based on signs and symptoms, echo evidenceEF ≥ 50%18% (n = 247)Yes, less effect of DMP and very wide CI for HFpEF compared with HFrEF; no significant difference by composite outcome, HF hospitalization, or all‐cause mortality
Kwok et al. (2008)China N = 105Recruited during hospital admission for HFDifferentiated between those with and without EF ≥ 40%77% (n = 81)No
Leventhal et al. (2011)Switzerland N = 42Recruited based on hospitalization for decompensated HFEF ≥ 45%49% (n = 20)No
Masterson Creber et al. (2016)USA N = 100Recruited during HF hospitalization at 1 urban hospitalDefined as ‘diastolic HF’ with no EF specified25% (17 of the 67 who completed)No
Shao et al. (2013)Taiwan N = 108Patients attending heart clinics with dx HFEF > 40%22% (n = 24)No
Srisuk et al. (2015)Thailand N = 100 dyadsPrimary dx HF confirmed by MD with objective evidence by echo if possibleNot specifically defined; mean EF was 50–51% ± 13UnclearNo
Stewart et al. (2014)Australia N = 280Cardiologist confirmed dx HFEF > 45%27% (n = 76)Yes, no difference in % with HFpEF by survived or died
Tsuchihashi‐Makaya et al. (2013)Japan N = 168Recruited from 3 cardiology hospitalsEF > 40%64% (n = 107)No
Young et al. (2016)USA N = 100Hospitalized with HF (HF discharge diagnosis)EF ≥ 50%84% (n = 84)No

CI, confidence interval; DD, diastolic dysfunction; DMP, disease management programme; EF, ejection fraction; ESC, European Society of Cardiology; HF, heart failure; HFpEF, heart failure with preserved ejection fraction; KCCQ, Kansas City Cardiomyopathy Questionnaire; LV, left ventricle.

Identification of HF and HFpEF in selected studies CI, confidence interval; DD, diastolic dysfunction; DMP, disease management programme; EF, ejection fraction; ESC, European Society of Cardiology; HF, heart failure; HFpEF, heart failure with preserved ejection fraction; KCCQ, Kansas City Cardiomyopathy Questionnaire; LV, left ventricle.

Heart failure with preserved ejection fraction definition

The EF cut‐off point for defining HFpEF ranged between ≥40% and ≥50%. It is noticeable that the ESC recommended cut‐off point of EF ≥ 50% was used only in seven studies.17, 18, 19, 20, 21, 22, 23 Three studies included patients labelled as HFpEF but without explicitly defining this population.24, 25, 26 The remaining nine studies used either >45%27, 28, 29 or 40%30, 31, 32, 33, 34 as EF criterion to differentiate patients with HFpEF. The percentage of patients with HFpEF defined by the studies ranged between 22% and 77%. By ESC criteria, these would be samples of patients with both HF with mid‐range EF (HFmrEF, EF 40–49%) and HFpEF, which are considered two distinct clinical entities in the guidelines.8

Interventions and study characteristics

Interventions varied by components, duration, methods of delivery, intensity, complexity, and outcomes (Tables 2 and 3). All of the interventions were directed to patients, with three including carers. Eleven of the study interventions were delivered primarily by nurses with relevant experience or additional training,17, 20, 21, 25, 26, 28, 29, 30, 31, 33, 34 six were multi‐disciplinary,18, 19, 22, 27, 32, 35 and in one, it was unclear.23 All studies included some component of education, behavioural or psychosocial support, and self‐management support. Only one study included an exercise component delivered as part of the study,17 although advice or referral for increasing physical activity was frequently a component in other studies. Telemonitoring was included in the intervention in two studies,18, 22 and five provided medication adjustment by nurses or via general practitioners.18, 19, 20, 24, 28 Patient assessment was included in all but two studies,17, 18 although the extent, frequency, and type of assessment varied.
Table 2

Intervention characteristics of selected studies

StudyComponentsMode of deliveryComplexity, duration, intensity
AssessmentEducation/>behavioural/>SMExerciseTelemonitoringClinician >reviewMedication >adjustmentEducation/>assessment/>DC planHome >visitsTelephoneOutpatient >or clinic >sessionMulti‐>media >resourcesComplexityDurationFrequency of contact
Andryukhin et al. (2010)High6 monthsWeekly F2F education/skills sessions × 4; weekly exercise × 4; weekly phone calls, Months 2–6
Bekelman et al. (2015)High12 monthsMonthly × 12
Bekelman et al. (2018)High3 months1–2 phone calls per month planned; mean calls by RN 13 (5.7), SW 10 (4)
Brotons et al. (2009)High12 months+Home 1× per month × 12; phone 2× per month × 12
Chang et al. (2016)Mod12 weeks×1 monthly face to face and ×6 biweekly phone calls
Dracup et al. (2014)Mod1 month then PRN

LITE: 2 phone calls biweekly

PLUS: biweekly 1 phone call

Freedland et al. (2015)Not >specifiedHigh12 monthsWeekly 1 h sessions for 6 months, then biweekly and after monthly
Gonzalez‐Guerrero et al. (2015)High12 monthsComprehensive hospital DC planning and close follow‐up at a geriatric day hospital (GDH), from a multidisciplinary team; phone contacts and face‐to‐face visits at the GDH
Jaarsma et al. (2008)High18 monthsBasic support group received UC + 9 HFSN clinic visits. Intensive support was UC + 18 HFSN clinic visits, phone calls weekly first month, MDT support, 2 home visits
Kalter‐Leibovici et al. (2017)HighMean = 2.7 yearsInitial remote contact 1× per week, adjusted based on need. Clinic every 6 months or more if needed
Kwok et al. (2008)High6 monthsWeekly × 4 first month and then monthly for 6 months
Leventhal et al. (2011)High12 monthsInitially home visit, followed by 17 structured telephone calls (weekly × 4, bimonthly × 4, monthly × 6) plus additional calls when needed
Masterson Creber et al. (2016)Not >specifiedModerate3 months1 F2F contact and 3–4 phone calls over 90 days
Shao et al. (2013)Moderate12 weeksHome visit within 3 days and then telephone follow‐up at 1, 3, 7, and 11 weeks
Srisuk et al. (2017)Moderate6 months1 F2F education/counselling session. Phone calls 15 min/week in first month, per fortnight in the second month and once a month in Months 3–6
Stewart et al. (2014)High6 monthsMDT comprehensive care by clinic or home visits
Tsuchihashi et al. (2013)High6 monthsHome visits by nurse within 14 days post‐DC, then q 2 weeks for 2 months. Then monthly telephone until 6 months
Young et al. (2016)High3 monthsTelephone contact twice a week, Weeks 1–2; once weekly, Weeks 3–6; every other week, Weeks 7–12
Table 3

Outcomes

STUDYTPsOMMorbidity and MortalityPsychologicalPhysicalOtherRESULTS (impact of intervention on outcome measure)
MORT.HOSP.HF‐QOLGENERIC QOLANX / DEPR.SELF‐CAREACTIV.BIOCHEMECHOOTHER
1. Brotons et al. 2009Monthly for 12 monthsUSEDYES – AC*YES – HF*YESNRNRYESNRNRNRYESPositiveNeutral/ Negative
DETAILSAssessed by review of hospital discharge recordsAssessed by review of hospital discharge recordsMLHFQNRNRMMAS‐8NRNRNRNYHA Class, weight, HR, oedema, clinical warning signs, lifestyle change complianceThe aggregate of all‐cause mortality and HF hospital readmissions improved (but not significantly) in the intervention arm. There was a significant improvement in QoL between the control and intervention group at 1 year.At 12 months, 86.1% of patients in the intervention group and 75.5% of the control group were adhering to prescribed pharmacological treatments, not significant.
2. Chang et al. 2016BL, 4wks, 8wks, 12wksUSEDNRNRNRNRYESNRNRNRNRYES*PositiveNeutral/ Negative
DETAILSNRNRNRNRHADSNRNRNRNRSleep quality measured by: Pittsburgh Sleep Quality Index, Epworth Sleepiness ScaleSignificant improvement in level of sleep quality and significant decreases in levels of daytime sleepiness in the intervention group, no improvement or decrease observed in the control arm.Anxiety and depression scores unchanged, when compared with controls, the intervention arm had a significantly greater improvement in both anxiety and depression.
3. Dracup et al. 2014BL, 3, 12, 24 mobnthsUSEDYES – CV*YES – HF*NRNRNRYESNRNRNRYESPositiveNeutral/ Negative
DETAILSAssessed by medical record review, family /physician interview, death certificate and Social Security Death Index checkAssessed by questioning patients and physicians and medical record reviewNRNRNREHFSCBQNRNRNRHeart Failure Knowledge Scale, Short Test of Functional Health Literacy in AdultsNo significant difference in the combined clinical outcome of cardiac death and HF hospitalization across groups. At 3 and 12 months both intervention groups had significantly lower (better) self‐care scores than the control group with no difference between the intervention groups.At 24 months self‐care improvement observed in the intervention groups were no longer significantly different from the control group.
4. Freedland et al. 2015BL, 3, 6, 9, 12 mtsUSEDYES‐ACYES‐ACYESYESYES*YESYESNRNRYESPositiveNeutral/ Negative
DETAILSNot definedNot definedKCCQSF‐12BDI‐II, BAI, Depression Interview, Structured Hamilton Rating ScaleSCHFI6MWT, average daily activity level on Actigraphy (1wk wear)NRNRNIH PROMIS MeasuresSix‐month depression scores were lower in the CBT than the usual care arm on the BDI‐II. Six‐month outcomes were superior in the CBT relative to the usual care arm on secondary measures of depression, anxiety, HF‐related quality of life, mental health‐related quality of life, fatigue and social functioning.The groups did not differ on the Self‐Care Maintenance or Confidence subscales. The groups did not differ on any of the physical functioning measures. There was no statistically significant difference in the time to the first all‐cause hospitalization or death between the usual care and CBT groups
5. Gonzalez‐Guerrero et al. 2014BL,, 12mtsUSEDYES‐AC*YES‐AC*YESYESNRNRNRYESNRYESPositiveNeutral/ Negative
DETAILSAssessed by discussion with patients /relatives, hospital record and the National Death Index reviewAssessed by discussion with patients /relatives, hospital record and the National Death Index reviewMLHFQEQ‐5DNRNRNRHb, urea, creatinine, uric acid, Na+, K+, albumin, TC, troponin T, CRP, NT‐proBNPNRGlobal Deterioration ScaleIn the intervention group, the probability of having an event (either hospitalisation or mortality) between BL and 1 year was significantly lower. Those receiving the intervention had a significant reduction in mortality risk.Those receiving the intervention had a non‐significant reduction in HF readmissions but an increase in non‐HF related hospitalisations.
9. Jaarsma e t al. 2008BL, 18 mtsUSEDYES – AC*YES – HF*NRNRNRNRNRNRNRYES*PositiveNeutral/ Negative
DETAILSAssessed by medical record review and patient interview. Cause was adjudicated by a central ‘endpoint committee’Assessed by medical record review and patient interview. Cause was adjudicated by a central ‘endpoint committee’NRNRNRNRNRNRNRNumber of days lost due to death or hospitalisationA non‐significant 15% reduction in mortality, and shorter hospitalizations were observed in both intervention groups.Neither the moderate nor intensive intervention reduced the combined end points of HF related death and hospitalization compared with standard follow‐up.
10. Kalter‐Leibovici1 et al. 2017BL, 6, 12, 18, 24 mtsUSEDYES – AC*YES – HF*NRYESYESYESYESYESNRYESPositiveNeutral/ Negative
DETAILSAssessed by review of discharge summaries. Adjudicated by two independent investigators blinded to assignment.Assessed by review of discharge summaries. Adjudicated by two independent investigators blinded to assignment.NRSF‐36PHQ‐9Purchase of recommended medications6MWTBNPNRTotal number of hospital admissions and in‐hospital days for heart failure and for all causesThe intervention arm was associated with prolonged time to first hospital admission for HF, especially among patients enrolled after recent hospitalization or with ischemia. Non‐significant trend towards lower total hospital admissions and LOS. Clinically important improvements in QoL and depression observed.Based on primary endpoint, time to first hospital admission for heart failure or death from any cause, the intervention was not superior to usual care.
11. Kwok et al. 2007BL, 6 mtsUSEDNRYES – AC*NRNRYESNRYESNRNRYESPositiveNeutral/ Negative
DETAILSNRElectronic database review; readmission reason assessed by geriatrician or cardiologist and categorizedNRNRGeneral Health QuestionnaireNR6MWTNRNRLHS, Abbreviated Mental TestThe median number of unplanned admission was significantly lower in the intervention group. Intervention group significantly less limited in independence as assessed by LHS compared to control group.No significant difference in six month readmission rates between intervention and control group. No change in functional status as assessed by 6MWT.
12. Leventhal et al. 2011BL, 3, 6, 9, 12 mtsUSEDYES AC*YES HF & AC*YESYESYESNRNRNRNRYESPositiveNeutral/ Negative
DETAILSAssessed by collection of death certificates.Assessed by review of medical records by blinded researcherMLHFQEQ‐5DGeriatric Depression ScaleNRNRNRNRSpecific Activity ScaleQoL improved in the intervention group compared to the control group.No statistically significant difference in mortality rates between control and intervention group. Hospitalisations more frequent in the intervention group.
13. Masterson‐Creber et al. 2015BL, 90 daysUSEDNRNRYESNRNRYES*NRNRNRYESPositiveNeutral/ Negative
DETAILSNRNRKCCQNRNRSCHFINRNRNRHF Symptoms via Heart Failure Somatic Perception ScaleAlthough not statistically significant, the improvement in self‐care maintenance was numerically greater in the intervention group and a statistical and clinically significant 8.7‐point increase in SCHFI was observed when adjusting for confounding factors.There were no statistically significant differences in improvement in self‐care confidence, HF symptoms or QoL between the groups.
14. Shao et al. 2013BL, 4, 12 wksUSEDNRYES ACNRNRNRYES*NRNRNRYESPositiveNeutral/ Negative
DETAILSNRAssessed by review of medical records.NRNRNRSelf‐Efficacy for Salt & Fluid Control & modified EHFSCBSNRNRNRHeart Failure Symptom Distress ScaleParticipants in the intervention group were significantly more likely to perform self‐management behaviours including controlling salt and fluid intake, and had a significant decrease in HF symptom distress.There was no reduction in health service use between the groups.
15. Srisuk et al. 2014BL, 3, 6 mthUSEDNRNRYESNRNRYESNRNRNRYES*PositiveNeutral/ Negative
DETAILSNRNRPatients: MLHFQNRNRSCHFINRNRNRPatients: HF Knowledge assessed by DHFKS.Patients and carers in the family‐based intervention group had higher (better) scores than those in the control group on HF knowledge. Patient in the intervention had significantly better self‐care maintenance and self‐care confidence scores. Carers in the intervention had significantly better perceived HF management control.Negative or neutral results not reported.
Carers: SF12Carers: Perceived control and knowledge assessed via CAS & DHFKS
16. Stewart et al. 2014BL, 12 ‐ 18 mth, 3‐4 yrsUSEDYES AC*YES AC*YESYESNRYESNRNRNRYESPositiveNeutral/ Negative
DETAILSA blinded endpoint committee adjudicated on the type and cause of mortalityA blinded endpoint committee adjudicated on the type and cause of hospitalizationMLHFQEQ‐5DNRSCHFINRNRNRLength of hospital stay; uptake of gold‐standard pharmacotherapyHome‐based intervention was associated with significantly fewer all‐cause deaths and significantly fewer days of hospital stay. Favourable trends towards home‐based intervention were strengthened in the long‐term (16% fewer deaths and ⅓ reduction in AC mortality.)Home‐based intervention group had a higher non‐significant number of all cause admission. Relative to clinic‐based intervention, home‐based intervention was not associated with prolonged event‐free survival
17. Tsuchihashi‐Makaya et al. 2013BL, 2, 6, 12 mthsUSEDYES ACYES HFNRYESYES*NRNRNRNRNRPositiveNeutral/ Negative
DETAILSNot definedNot definedNRSF‐8HADSNRNRNRNRNRThe home based intervention significantly improved both anxiety and depression compared to usual care group. The physical and mental health QOL score significantly increased from baseline at all follow‐up time points in the intervention but not in the control. HF hospitalizations were reduced in the intervention group.There was no difference in AC mortality between the groups.
18. Young et al. 2016BL, 3 and 6 mthsUSEDNRYES ‐ ACNRNRNRYES*YESYESNRYESPositiveNeutral/ Negative
DETAILSNRAll‐cause readmission and emergency department visits at 30, 90 and 180 days assessed by both self‐report and primary care provider record reviewNRNRNRSelf‐reported adherence to daily weights, low Na diet, medication, exercise and appointments7 day accelerometer wear at BL, 3 and 6 months to establish: average daily activity, expended energy, estimated energy expenditure, average activity intensity assessed byBNP and urine sodium/creatinine ratioNRAtlanta HF Knowledge TestThe intervention group showed significantly greater improvement compared to usual care in patient‐reported SM adherence at 3 and 6 months after discharge. On average, the intervention group had a significantly greater increase in self‐efficacy for heart failure self‐management, self‐management strategies and patient activation.No significant differences were observed between groups in the pattern of change across time on any of the actigraphy variables collected. There was no significant difference in clinical biomarkers. The 30‐day readmission rate was significantly higher in the intervention group than in the control group with no difference between groups at 90 and 180 days. No group differences were found for self‐management knowledge.
2 x Medication Adherence Scales
SCHFI
Patient Activation Measure
Modified EHFSCBS

Abbreviations: NR = Not reported, CV = Cardiovascular, AC= All cause, HF = heart Failure, MLHFQ = Minnesota Living with Heart Failure Questionnaire, KCCQ = Kansas City Cardiomyopathy Questionnaire, PHQ‐9 = Patient Health Questionnaire 9‐item, GAD‐7 = Generalised Anxiety and Depression Scale 7‐item, HDAS = Hospital Anxiety and Depression Scale, 6MWT = Six Minute Walk Test, TC = Total Cholesterol, LDL = Low Density Lipoprotein, HS‐CRP = High Specificity CRP, NTproBNP = N‐terminal pro b‐type natriuretic peptide, LA = Left Atrium, LVEDV = Left ventricular end‐diastolic volume, LV = Left ventricle, Hb = Haemaglobin, K+ = potassium, Na+ = Sodium, NYHA = New York Heart Association, BMI = Body Mass Index, WC = waist circumference, SF = Short Form, MMAS‐8 Moriskey Medication Adherence Scale, EHFSCBQ = European Heart Failure Self‐Care Behaviour Questionnaire, Hr = Heart rate, BDI = Beck Depression Inventory, BAI = Brief Anxiety Index, LHS = London Handicap Scale, SCHFI = Self Care of Heart Failure Index

Intervention characteristics of selected studies LITE: 2 phone calls biweekly PLUS: biweekly 1 phone call Outcomes Abbreviations: NR = Not reported, CV = Cardiovascular, AC= All cause, HF = heart Failure, MLHFQ = Minnesota Living with Heart Failure Questionnaire, KCCQ = Kansas City Cardiomyopathy Questionnaire, PHQ‐9 = Patient Health Questionnaire 9‐item, GAD‐7 = Generalised Anxiety and Depression Scale 7‐item, HDAS = Hospital Anxiety and Depression Scale, 6MWT = Six Minute Walk Test, TC = Total Cholesterol, LDL = Low Density Lipoprotein, HS‐CRP = High Specificity CRP, NTproBNP = N‐terminal pro b‐type natriuretic peptide, LA = Left Atrium, LVEDV = Left ventricular end‐diastolic volume, LV = Left ventricle, Hb = Haemaglobin, K+ = potassium, Na+ = Sodium, NYHA = New York Heart Association, BMI = Body Mass Index, WC = waist circumference, SF = Short Form, MMAS‐8 Moriskey Medication Adherence Scale, EHFSCBQ = European Heart Failure Self‐Care Behaviour Questionnaire, Hr = Heart rate, BDI = Beck Depression Inventory, BAI = Brief Anxiety Index, LHS = London Handicap Scale, SCHFI = Self Care of Heart Failure Index The duration of the interventions ranged from 3 months to over 2 years, and interventions in seven of the studies were ≥12 months.18, 20, 22, 24, 27, 29, 32 All studies included at least one face‐to‐face encounter with patients, but telephone contact was used in all to deliver some of the intervention. Home visits were used in 11 studies.20, 21, 23, 25, 28, 29, 30, 31, 32, 33, 34 Outpatient or clinical visits were included in all but two studies.26, 27 The majority of studies were judged to be high in intensity and complexity based on delivery of multiple components using different methods of delivery and high frequency of contact, and five were judged to be moderate.

Comparison

Seventeen of the 18 studies compared an intervention with usual care, although two of these also included two intervention arms varying by intensity and complexity.30, 32 Usual care was variably described across studies, and efforts to standardize usual care were made in only four studies.25, 26, 29, 33 Controlling for patient contact as a confounding variable was only described in one study.26 Stewart et al.28 tested multi‐disciplinary comprehensive care delivered by either outpatient clinic or home visits.

Outcomes

The effect of disease management programmes on mortality

The most common primary outcome measure employed was a composite of mortality and hospitalization, either all‐cause/all‐cause (n = 4), all‐cause/HF (n = 3), cardiovascular/cardiovascular (n = 1), or cardiovascular/HF (n = 1). All‐cause mortality and/or all‐cause hospitalizations were secondary outcome measures in four studies respectively, and one study employed an all‐cause/HF composite as a secondary objective. In the studies measuring mortality, three reported a significant improvement.18, 24, 28, 35 The proportion of HFpEF patients in these studies was 67%,35 47%,18 and 27%,28 respectively. Of these studies, only Stewart et al.28 reported separate HFpEF statistics (HFpEF defined as those with EF > 45%) and found no difference in percentage with HFpEF by survived or died. Nine studies reported no significant difference of their respective interventions on mortality between either intervention groups or intervention and usual care.17, 19, 20, 22, 27, 29, 30, 32, 34 Kalter‐Leibovici and colleagues22 dichotomized findings by HF group and found no significant difference by composite outcome (all‐cause mortality/HF hospitalization), or all‐cause mortality alone, and much wider confidence intervals in those with EF ≥ 50%. Four of these nine studies without statistical significance did report positive trends in mortality in favour of the intervention.17, 20, 30, 32 Dracup et al.30 added HF group (by EF < 40% or >40%) as a covariate and found no difference in outcomes between groups.

The effect of disease management programmes on hospitalizations

Most studies (88%) employed hospitalization(s) as an outcome measure; the most common was all‐cause hospitalizations (n = 8), HF‐only hospitalizations (n = 5), HF and all‐cause (n = 2), or cardiovascular (n = 1). Only three reported a statistically significant result.24, 34, 35 The remainder reported either no impact17, 18, 19, 20, 27, 30, 33; positive trends in favour of the intervention such as shorter hospital stays, prolonged time to hospitalization, and lower total numbers hospitalized22, 32; or trends towards higher hospitalizations in intervention groups.23, 28, 29

The effect of disease management programmes on self‐care

Nine studies evaluated the effect of the intervention on self‐care. There was significant variability in the self‐care outcome measures employed: the most frequently employed (n = 5) was the Self‐Care of Heart Failure Index15 followed by the European Heart Failure Self‐Care Behaviours Questionnaire (n = 3).36 Of the studies assessing effect on self‐care (n = 9), four reported a statistically significant positive effect,23, 26, 33 two reported improvements that were not significant,20, 25, 30 and one reported no impact,27 and in two studies, the effect could not be ascertained from the publication.22, 28

The effect of disease management programmes on condition‐specific quality of life

Heart failure quality of life was measured by either the Minnesota Living with Heart Failure Questionnaire37 (n = 5) or the Kansas City Cardiomyopathy Questionnaire (KCCQ)38 (n = 4). Three studies failed to demonstrate significant improvement18, 25, 28; one study19 did not reach statistical significance but demonstrated a clinically meaningful improvement in quality of life as measured by KCCQ; and five studies reported a statistically significant improvement in the intervention arm.17, 20, 27, 29, 35

The effect of disease management programmes on anxiety, depression, and sleep quality

Anxiety and depression were commonly measured and featured in nine of the 18 studies, and these were the primary outcome in two studies.27, 34 Freedland et al.27 demonstrated that cognitive behavioural therapy plus an HF education programme was superior to usual care plus an HF education programme only, and this improvement was sustained over time. Tsuchihashi‐Makaya et al.34 similarly found that their home‐based DMP significantly improved psychological status compared with usual care and was also sustained over time. Of the seven studies examining anxiety or depression as a secondary outcome measure, impact of the intervention on either variable, anxiety or depression, was undeterminable in two publications29, 31 and improved either significantly or clinically in the intervention arm in five studies.17, 18, 19, 21, 22 One study specifically focussed on improving sleep in HF patients21 and found both sleep quality and day‐time sleepiness levels significantly improved in the intervention arm.

Outcomes by heart failure with preserved ejection fraction with ejection fraction ≥50%

If we use the ESC criterion that HFpEF includes an EF ≥ 50%, then seven studies are of interest. The outcomes of mortality and/or hospitalization were measured in six studies.17, 18, 19, 20, 22, 23 Of these, only one had significantly fewer events in the intervention group, specifically in all‐cause mortality.18 Kalter‐Leibovici et al.22 did not find a significant difference in outcomes for DMP vs. control, and as noted previously, the confidence intervals around the hazard ratios for HF hospitalization and all‐cause mortality were much wider for patients with HFpEF. The single study that assessed self‐care reported significant improvement favouring the intervention group. The intervention was efficacious in terms of health‐related quality of life (HRQoL) in two studies.17, 20 In two studies, there was no significant difference between intervention and control groups in 3 and 6 months of HRQoL measured by the KCCQ.18, 19 Additionally, Bekelman et al.19 reported a lower effect size of the intervention on the KCCQ for HFpEF compared with HFrEF (−0.03 vs. 0.28). All five studies measuring the outcomes of anxiety and/or depression demonstrated significant improvement in favour of the intervention arm.17, 18, 19, 21, 22

Outcomes by intervention provider

Six of the 11 studies with mainly nurse‐led interventions had outcomes related to mortality and/or hospitalization; one of them demonstrated significant improvement in all‐cause mortality28 and another one in HF hospitalizations.34 Half of the six nurse‐led studies that assessed HRQoL reported improved HRQoL in the intervention group as compared with control.17, 26, 29 The majority of the nurse‐led studies evaluating self‐care changes achieved a significantly positive result at least once during follow‐up (including adjusted results) when comparing the intervention to the control group.25, 26, 30, 33 Among the nurse‐led studies, the intervention group yielded superior results in relation to anxiety and/or depression in three out of five studies.17, 21, 34 Five studies employed a multidisciplinary approach in their intervention: two reduced mortality and/or hospitalization18, 35 in the intervention group vs. control group, one improved HRQoL35 in comparison with control group, and all three studies measuring depression and/or anxiety had better results in the intervention group in this regard.18, 19, 22 None of the multidisciplinary studies assessed self‐care. In the study of Freedland et al.,27 the intervention was delivered by behavioural therapists and was effective in improving HF quality of life, anxiety, and depression. One study did not specify the provider of the intervention.23

Assessment of bias

Most studies were rated as low risk in terms of random sequence generation. However, bias varied considerably across other aspects with most studies being unable to conceal allocation to intervention or usual care arms after randomization from research team and patients. Almost all studies had blinded outcome assessment, and most reported complete outcome results (Table 4).
Table 4

Bias

First author and yearRandom sequence generationAllocation concealmentBlinded investigators/patientsBlinded outcome assessmentSelective outcome reportingIncomplete outcome dataOther bias
Andryukhin (2010)UnclearLowHighLowHighHighHigha
Bekelman (2015)LowLowHighLowb LowLowLow
Bekelman (2018)LowLowHighLowLowHighLow
Brotons (2009)LowLowHighLowLowLowLow
Chang (2016)UnclearLowHighLowLowLowHigh
Dracup (2014)LowLowLowLowLowLowLow
Freedland (2015)UnclearLowHighLowLowLowLow
González‐Guerrero (2014)LowLowHighLowc LowLowLow
Jaarsma (2008)LowUnclearHighLowLowLowLow
Kalter‐Leibovici (2017)LowUnclearHighHighLowLowHigh
Kwok (2008)LowLowHighLowLowLowLow
Leventhal (2011)LowLowHighLowLowLowHigh
Masterson Creber (2016)UnclearUnclearHighLowLowHighLow
Shao (2013)LowLowHighLowLowLowHigh
Srisuk (2015)LowLowHighLowLowLowLow
Stewart (2014)LowUnclearHighLowLowLowLow
Tsuchihashi‐Makaya (2014)UnclearUnclearUnclearUnclearLowLowLow
Young (2016)LowLowHighLowLowLowHigh

Positive change included no change from baseline.

Positive change included improvement for 3 and 6 months.

Positive change included improvement for primary outcome.

Bias Positive change included no change from baseline. Positive change included improvement for 3 and 6 months. Positive change included improvement for primary outcome.

Discussion

In this systematic review, we found a limited number of contemporary studies of DMPs in HF that included or sufficiently described patients with HFpEF and only one that was specifically designed for this group. Across the studies, there was significant heterogeneity in terms of the population, intervention, comparisons, and outcomes that prohibited meta‐analysis. Definitions for HFpEF were variable with only seven of the 18 studies employing an EF of ≥50%. This reflects the lack of a universal approach in defining HFpEF even among recent trials,39 despite the guidance provided by the ESC. Interventions were similarly heterogeneous with extensive variability in the components included, mode of delivery, complexity, and duration. Comparison groups received scant attention; few studies sufficiently described attempts to standardize or account for potential confounding in ‘usual care’ control arms. In terms of outcomes, the most commonly measured were hospitalizations (83%) and mortality (66%), and a minority demonstrated that the DMP had a statistically significant impact on either outcome. Four studies with both HFrEF and HFpEF reported results separately for patients identified as HFpEF in the study, but only two defined HFpEF using the recommended ESC criterion of EF > 50%.19, 22 Bekelman et al.19 (40% HFpEF, n = 121) found that the intervention had less effect on quality of life in those with HFpEF compared with HFrEF. Kalter‐Leibovici et al.22 (18% HFpEF, n = 247) also found less effect of the DMP and wide confidence intervals for HFpEF compared with HFrEF; however, overall, there was no significant difference by composite outcome, HF hospitalization, or all‐cause mortality by HF group. In the study exclusively HFpEF (using EF ≥ 50%),15 the intervention group had improvement or no deterioration in several cardiovascular risk factors, quality of life, depression, and left ventricular end‐diastolic volume index compared with control. There was no statistically significant difference between intervention and control on cardiovascular events or mortality at 6 and 18 months. This trial was innovative in including exercise sessions and measuring specific echocardiographic parameters but nonetheless included recommendations for HFrEF medications that have not been shown to improve event‐free survival in patients with HFpEF. Bias was also assessed as high on some components (Table 4). Programme components offer a useful framework to explore reasons for variable impact on outcomes assessed in included studies.

Clinical assessment

Sixteen studies included either MDT or nurse‐led clinical assessment that then formed the basis of individualized HF‐specific treatment plans. None detailed exploration of co‐morbidity, clinical phenotyping, or comprehensive geriatric assessment, although one DMP was delivered through a geriatric day‐care hospital.35 Data from clinical trials have clearly demonstrated the high incidence of co‐morbidities in HFpEF and effects of this has on outcome. The CHARM trial found that demographic risk factors (age and sex) and non‐cardiac risk factors contributed more to mortality and morbidity outcomes in patients with HFpEF (n = 1086 defined as EF > 40%), while cardiac disease burden contributed more to outcomes in those with HFrEF.40 If co‐morbidities drive the development of HFpEF through a systemic pro‐inflammatory state as currently postulated,41 then the focus on appropriate control of cardiovascular and non‐cardiovascular co‐morbid conditions is essential.3, 8, 42 The ARISE‐HF investigators recently presented a pragmatic framework that includes profiling to determine concurrent co‐morbidities, identifying individualized priorities and patient‐centred goals, supporting multi‐professional home‐based case management, coordinating care, and emphasizing self‐care.43 Shah et al.3 devised an HFpEF treatment grid organized by predisposition phenotype (e.g. hypertension and metabolic syndromes) and clinical presentation phenotype (e.g. lung congestion and atrial fibrillation) to determine management based on the patient's phenotypic features and co‐morbid conditions. Upadhya et al.44 have called for HFpEF to be recognized as a true geriatric condition and suggested that geriatric principles should be used in the treatment of HFpEF.

Educational/behavioural/self‐management interventions

Self‐management interventions have previously been found to reduce risk of the composite endpoint of HF‐related hospitalization and all‐cause death, HF‐related hospitalization alone, and result in a small improvement in HRQoL compared with usual care.45 In this review, all studies incorporated educational, behavioural, or self‐care components designed to improve self‐management. Only three of nine studies measuring self‐care as an outcome demonstrated a statistically significant improvement in self‐care. Programme characteristics, mechanisms of effect, and evidence for efficacy may explain this finding. In an individual patient data meta‐analysis of 20 trials of self‐management support in patients with HF (n = 5624), no specific programme characteristics were identified that consistently had a positive effect on multiple outcomes. A 2016 systematic review and realist synthesis of the main mechanisms of HF DMPs found that to be effective, programmes should contain components that increase patient understanding of HF, self‐care, self‐efficacy, family/caregiver involvement, psychosocial well‐being, health professional support, and technology use.46 Although many studies encompassed components that harnessed one or more of these mechanisms, no single programme comprehensively covered all. Finally, our knowledge of optimal life‐style behaviours and self‐care in HFpEF is limited, and self‐care interventions for patients with HFpEF lack evidence of effectiveness.

Exercise

Being physically active was advocated in most studies, but only one study delivered an exercise intervention.17 Other studies encouraged exercise as part of self‐management education and support, referred to formal exercise programmes (although uptake not reported), and one23 measured activity as part of a primarily telephone‐delivered self‐management intervention. No significant difference between the groups was found in activity, which was low in both groups.23 Exercise is a promising but underutilized intervention in patients with HFpEF. While data are limited, a meta‐analysis of six trials (n = 276 patients) showed that cardiorespiratory fitness and quality of life were significantly improved with exercise compared with control. Clinical outcomes were not reported, and the studies were of short duration (12–24 weeks).47 A small study tested the effect of a calorie restricted diet, aerobic exercise training (primarily walking), a combination of diet and exercise, or an attention control on 100 obese patients with HFpEF. At 24 weeks, the diet, exercise, and diet + exercise groups had significant improvements in exercise capacity by peak VO2 (greatest increase in diet + exercise) but no significant improvement on quality of life measured by the MLHFQ. Diet significantly improved KCCQ scores, and diet and exercise decreased body weight and improved New York Heart Association class.48

Telemonitoring

Two studies in this review included telemonitoring as a component of a DMP.18, 22 Multiple studies of non‐invasive telemonitoring as the primary intervention in HF have been conducted with inconsistent results. The latest guidelines on management of HF have no recommendations for non‐invasive telemonitoring in management.8 A recent paper tested a holistic and structured remote management intervention involving a multi‐disciplinary team (nurses, primary care physicians, cardiologists, other providers, and the patient), telemonitoring, risk assessment, and tailored support and management available 24 h or 7 days/week. The intervention resulted in fewer days lost to unplanned cardiovascular hospitalizations and all‐cause mortality compared with usual care over 1 year. However, the sub‐group analysis of patients with EF > 45% (n = 537) showed no benefit between intervention and usual care.49

Limitations

This systematic review has a number of limitations. Importantly, the varying and inconsistent definitions of HFpEF (some samples included HFmrEF), heterogeneity of studies with significant variation in the aims, interventions and outcomes measured, ascertainment of the condition, and proportion of patients with HFpEF limited our ability to compare the studies directly, employ a meta‐analysis, and draw clear conclusions for this group of patients. In only six studies, the percentage of patients with HFpEF exceeded 50%, and just four studies reported separate results for patients with HFpEF (including patients not meeting ESC guideline criteria for HFpEF). The search strategy may have failed to retrieve relevant studies, as grey literature or reports in languages other than English and Greek were not included. Time restrictions were applied, and the search was not extended to all available databases. In DMPs, blinding of the research team and participants is not feasible, which may bias results in favour of the intervention group. Caution should be used in the interpretation of findings and the results of the current review especially given the lack of data for appropriately defined HFpEF.

Conclusions

Varying definitions of HFpEF (including patients with HFmrEF) used in studies are a substantial limitation in interpretation of findings, which may not reflect the effect of DMPs in HFpEF patients. Although statistically significant or positive trends in the primary outcomes were found in mortality, hospitalization rates, self‐care ability, HF knowledge, quality of life, anxiety, depression, and sleep, the evidence is not sufficiently robust or consistent to draw substantive conclusions. We have used programme components as a way of exploring how impact may have been attenuated. Given that patients with HFpEF are older and multi‐morbid, DMPs targeting HFpEF should not rely on a single‐disease focus but provide care that addresses predisposing and presentation phenotypes of well‐defined HFpEF and draws on the principles of comprehensive geriatric assessment. Other components could also be more targeted to HFpEF such as modification of lifestyle factors for which there is emerging evidence, rather than simply continuing the model of care used in HFrEF. The reduced efficacy noted in contemporary HF DMP studies may not only be due to improvements in usual care but may reflect inclusion of heterogeneous patients with HFmrEF and HFpEF who may not respond in the same way as HFrEF to individual components. Based on current evidence, HF DMPs may improve mortality, hospitalization rates, self‐care, and quality of life in patients with HFpEF; however, further research specifically tailored to appropriately defined HFpEF is required.

Conflict of interest

None declared.

Funding

They acknowledge funding from the National Institute of Health Research School for Primary Care Research and European Society of Cardiology Nursing Training Grant.
  49 in total

Review 1.  Exercise training in patients with heart failure and preserved ejection fraction: meta-analysis of randomized control trials.

Authors:  Ambarish Pandey; Akhil Parashar; Dharam Kumbhani; Sunil Agarwal; Jalaj Garg; Dalane Kitzman; Benjamin Levine; Mark Drazner; Jarett Berry
Journal:  Circ Heart Fail       Date:  2014-11-16       Impact factor: 8.790

2.  Heart failure with preserved ejection fraction: treat now by treating comorbidities.

Authors:  Sanjiv J Shah; Mihai Gheorghiade
Journal:  JAMA       Date:  2008-07-23       Impact factor: 56.272

3.  Development and testing of the European Heart Failure Self-Care Behaviour Scale.

Authors:  T Jaarsma; A Strömberg; J Mårtensson; K Dracup
Journal:  Eur J Heart Fail       Date:  2003-06       Impact factor: 15.534

Review 4.  Phenotype-Specific Treatment of Heart Failure With Preserved Ejection Fraction: A Multiorgan Roadmap.

Authors:  Sanjiv J Shah; Dalane W Kitzman; Barry A Borlaug; Loek van Heerebeek; Michael R Zile; David A Kass; Walter J Paulus
Journal:  Circulation       Date:  2016-07-05       Impact factor: 29.690

Review 5.  The pathophysiology of heart failure with preserved ejection fraction.

Authors:  Barry A Borlaug
Journal:  Nat Rev Cardiol       Date:  2014-06-24       Impact factor: 32.419

6.  Swiss Interdisciplinary Management Programme for Heart Failure (SWIM-HF): a randomised controlled trial study of an outpatient inter-professional management programme for heart failure patients in Switzerland.

Authors:  Marcia E Leventhal; Kris Denhaerynck; Hans-Peter Brunner-La Rocca; Bernard Burnand; Antoinette Conca-Zeller; Arlette T Bernasconi; Romy Mahrer-Imhof; Erika Sivarajan Froelicher; Sabina De Geest
Journal:  Swiss Med Wkly       Date:  2011-03-08       Impact factor: 2.193

7.  A randomized controlled trial of self-management programme improves health-related outcomes of older people with heart failure.

Authors:  Jung-Hua Shao; Anne M Chang; Helen Edwards; Yea-Ing Lotus Shyu; Su-Hui Chen
Journal:  J Adv Nurs       Date:  2013-03-12       Impact factor: 3.187

Review 8.  Multidisciplinary strategies for the management of heart failure patients at high risk for admission: a systematic review of randomized trials.

Authors:  Finlay A McAlister; Simon Stewart; Stefania Ferrua; John J J V McMurray
Journal:  J Am Coll Cardiol       Date:  2004-08-18       Impact factor: 24.094

9.  Comprehensive discharge planning with postdischarge support for older patients with congestive heart failure: a meta-analysis.

Authors:  Christopher O Phillips; Scott M Wright; David E Kern; Ramesh M Singa; Sasha Shepperd; Haya R Rubin
Journal:  JAMA       Date:  2004-03-17       Impact factor: 56.272

10.  The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.

Authors:  Julian P T Higgins; Douglas G Altman; Peter C Gøtzsche; Peter Jüni; David Moher; Andrew D Oxman; Jelena Savovic; Kenneth F Schulz; Laura Weeks; Jonathan A C Sterne
Journal:  BMJ       Date:  2011-10-18
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  8 in total

1.  Understanding the management of heart failure with preserved ejection fraction: a qualitative multiperspective study.

Authors:  Emma Sowden; Muhammad Hossain; Carolyn Chew-Graham; Tom Blakeman; Stephanie Tierney; Ian Wellwood; Francesca Rosa; Christi Deaton
Journal:  Br J Gen Pract       Date:  2020-11-26       Impact factor: 5.386

2.  Sleep Characteristics, Mood, Somatic Symptoms, and Self-Care Among People With Heart Failure and Insomnia.

Authors:  Stephen Breazeale; Sangchoon Jeon; Youri Hwang; Meghan O'Connell; Uzoji Nwanaji-Enwerem; Sarah Linsky; H Klar Yaggi; Daniel L Jacoby; Samantha Conley; Nancy S Redeker
Journal:  Nurs Res       Date:  2022 May-Jun 01       Impact factor: 2.364

3.  Characterizing Pain Leading to Emergency Medical Services Activation in Heart Failure.

Authors:  Asa B Smith; Miyeon Jung; Christopher Lee; Susan J Pressler
Journal:  J Cardiovasc Nurs       Date:  2021-12-28       Impact factor: 2.468

Review 4.  Heart Failure with Preserved Ejection Fraction-a Concise Review.

Authors:  Daria M Adamczak; Mary-Tiffany Oduah; Thomas Kiebalo; Sonia Nartowicz; Marcin Bęben; Mateusz Pochylski; Aleksandra Ciepłucha; Adrian Gwizdała; Maciej Lesiak; Ewa Straburzyńska-Migaj
Journal:  Curr Cardiol Rep       Date:  2020-07-09       Impact factor: 2.931

5.  Mortality trends in an ambulatory multidisciplinary heart failure unit from 2001 to 2018.

Authors:  Giosafat Spitaleri; Josep Lupón; Mar Domingo; Evelyn Santiago-Vacas; Pau Codina; Elisabet Zamora; Germán Cediel; Javier Santesmases; Crisanto Diez-Quevedo; Maria Isabel Troya; Maria Boldo; Salvador Altmir; Nuria Alonso; Beatriz González; Julio Núñez; Antoni Bayes-Genis
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

6.  The impact of a community-based heart failure multidisciplinary team clinic on healthcare utilization and costs.

Authors:  Jean Marc Weinstein; Dan Greenberg; Amir Sharf; Tzahit Simon-Tuval
Journal:  ESC Heart Fail       Date:  2021-11-07

Review 7.  Trends and complications associated with acute new-onset heart failure: a National Readmissions Database-based cohort study.

Authors:  Tanveer Mir; Mohammed Uddin; Waqas T Qureshi; Layla Shanah; Ayman Soubani; Ghulam Saydain; Luis Afonso; Sheikh Mujeeb
Journal:  Heart Fail Rev       Date:  2021-07-28       Impact factor: 4.214

8.  Heart failure disease management: a systematic review of effectiveness in heart failure with preserved ejection fraction.

Authors:  Fotini Kalogirou; Faye Forsyth; Martha Kyriakou; Rhys Mantle; Christi Deaton
Journal:  ESC Heart Fail       Date:  2020-01-24
  8 in total

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