Literature DB >> 31094284

Nurse-Led Heart Failure Clinics Are Associated With Reduced Mortality but Not Heart Failure Hospitalization.

Gianluigi Savarese1, Lars H Lund1,2, Ulf Dahlström3, Anna Strömberg3.   

Abstract

Background Follow-up in a nurse-led heart failure ( HF ) clinic is recommended in HF guidelines, but its association with outcomes remains controversial, with previous studies including few and highly selected patients. Thus, large analyses of "real-world" samples are needed. Aims were to assess: (1) independent predictors of and (2) prognosis associated with planned referral to nurse-led HF clinics. Methods and Results We analyzed data from the SwedeHF (Swedish HF Registry) using multivariable logistic regressions to identify independent predictors of planned referral to a nurse-led HF clinic and multivariable Cox regressions to test associations between planned referral and outcomes (all-cause death, HF hospitalization, and their composite). Of 40 992 patients, 39% were planned to be referred to a follow-up in a nurse-led HF clinic. Independent characteristics associated with planned referral were shorter duration of HF , clinical markers of more-severe HF, such as lower ejection fraction, higher New York Heart Association class and N-terminal pro-B-type natriuretic peptide, and lower blood pressure, as well as cohabitating versus living alone, male sex, fewer comorbidities, and more use of HF treatments. After adjustments, planned referral to a nurse-led HF clinic was associated with reduced mortality and mortality/ HF hospitalization, but not HF hospitalization alone. Conclusions In this nation-wide registry, 39% of our identified HF cohort was planned to be referred to a nurse-led HF clinic. Planned referral reflected more-severe HF , but also sex- and family-related factors, and it was independently associated with lower risk of death, but not of HF hospitalization.

Entities:  

Keywords:  follow‐up; heart failure; hospitalization; nurse‐led clinic; registry; survival

Mesh:

Year:  2019        PMID: 31094284      PMCID: PMC6585319          DOI: 10.1161/JAHA.118.011737

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

Previous analyses assessing prognosis associated with referral to nurse‐led heart failure (HF) clinics included few and highly selected patients, and large analyses of “real‐world” populations are missing. In our analysis of the Swedish HF registry, 39% of this HF cohort was planned to be referred to a nurse‐led HF clinic, and those patients who were planned for referral had more‐severe HF, higher use of HF treatments, and less comorbidities at referral. Planned referral was independently associated with lower risk of death, but not of HF hospitalization.

What Are Clinical Implications?

Referral to nurse‐led HF clinics is associated with improved survival. Closer monitoring may foster earlier identification of patients with worsening status, who may be subsequently hospitalized preventing death.

Introduction

Heart failure (HF) is a common condition with 2% prevalence in the general population and >10% among people aged >70 years.1, 2 Because of aging of the population and life‐prolonging cardiovascular treatments and care, prevalence of HF and HF‐related hospital admissions and, consequently, overall costs are increasing.1, 2, 3, 4 Additionally, despite the improvements in treatments and organization of care, prognosis still remains poor, with postdischarge mortality rates up to 15% and 20% to 30% readmission rates within the first 30 days after discharge.5 It is of greatest importance to improve the organization of care to provide evidence‐based care of high quality in the most cost‐effective way. Sweden has a long tradition of providing follow‐up in nurse‐led HF clinics, which is relatively uniform across the country. Clinics can be both primary care6 and hospital based,7 but have similar structure and content. Nurses provide education on self‐care and psychosocial support to patients and their family, and they independently perform physical examination and assess mental well‐being. They can uptitrate medications to optimized doses and occasionally prescribe new treatments with co‐signatures by the responsible physician. The number of follow‐up visits is individualized for each patient based on symptoms, disease severity, and time needed to reach optimized treatment and sufficient self‐care. Most patient come to the clinic for a series of visits, and more‐unstable patients are followed over a longer period of time.6, 7 Nurses have a specialized education based on content of the curriculum for HF nurses developed by the European Society of Cardiology HF Association.8 Although HF nurses do not make medical decisions or admit to the hospital, they work in close physical proximity to physicians who can assess patients and make decisions, if needed. Previous individual studies and meta‐analyses showed improved outcomes in patients referred to nurse‐led HF clinics.9 According to the 2013 American College of Cardiology Foundation/American Heart Association and the 2016 European Society of Cardiology guidelines on HF, follow‐up in a nurse‐led HF clinic, as part of multidisciplinary management and monitoring of patients with HF, has recommendation and level of evidence of IB and IA, respectively.2, 4 However, previous analyses assessing prognosis associated with referral to nurse‐led HF clinics included few and highly selected patients,9, 10, 11 and large analyses of “real‐world” populations are needed. Aims of this analysis were to assess: (1) independent predictors of and (2) prognosis associated with planned referral to a nurse‐led HF clinic in a large and unselected cohort of HF patients.

Methods

Study Protocol and Setting

The data that support the findings of this study are available from the corresponding author, provided that data sharing is permitted by European Union General Data Protection Regulation regulations and appropriate ethics committees. The SwedeHF (Swedish Heart Failure Registry) (www.swedeHF.se) has been previously described.12 The only inclusion criterion is clinician‐diagnosed HF. Approximately 80 variables are recorded at discharge from hospital or after outpatient clinic visit on a web‐based case report form and entered into a database managed by the Uppsala Clinical Research Center (www.ucr.uu.se). The Swedish Board of Health and Welfare (www.socialstyrelsen.se) administers the Population Registry and the Patient Registry. The Population Registry provided date of death. From the Patient Registry, we obtained additional baseline comorbidities and HF hospitalization outcome, defined according to International Classification of Diseases, Tenth Revision (ICD‐10) codes in the first position. Statistics Sweden (www.scb.se) provided socioeconomic characteristics. All Swedish citizens have unique personal identification numbers that enable linking of disease‐specific health registries and governmental health and statistical registries. Establishment of the HF registry and this analysis with linking of the above registries were approved by a multisite ethics committee. Individual patient consent is not required, but patients in Sweden are informed of entry into national registries and allowed to opt out.

Patients

In the current study, patients were selected if they were registered in the SwedeHF as outpatients or discharged alive from the hospital between May 11, 2000 (the start of the registry) and December 31, 2012, they had no missing data for planned follow‐up in nurse‐led HF clinic and ejection fraction (EF), and had follow‐up ≥0 days (ie, follow‐up=0 days may be attributed to in‐hospital death during the hospitalization that prompted the registration in the SwedeHF; follow‐up <0 may be explained by the registration in the SwedeHF after death). When a patient reported more than 1 registration, the first 1 was selected. The index date was defined as the date of the outpatient clinic visit for HF or hospital discharge. End of follow‐up was December 31, 2012.

Statistical Analysis

Baseline characteristics

Baseline characteristics were compared in patients planned to be versus not be referred to follow‐up in a nurse‐led HF clinic by t test or Wilcoxon–Mann–Whitney tests for continuous variables and by chi‐squared for categorical variables. Missing data were handled by chained equations multiple imputation (10 data sets generated) in multivariable models. Variables included in the multiple imputation models are labeled with an asterisk (“*”) in Table.
Table 1

Baseline Characteristics

VariablesPlanned Referral to Nurse‐Led HF Clinic Fup 16 180 Pts (39%)No Planned Referral to Nurse‐Led HF Clinic Fup 24 812 Pts (61%) P Value
Demographics
Sex*
Male11 130 (69%)14 762 (60%)<0.001
Female5050 (31%)10 050 (40%)
Age, mean (SD), y*70 (12)76 (12)<0.001
Year of registration*
2000–20062233 (14%)5801 (23%)<0.001
2007–201213 947 (86%)19 011 (77%)
Location when entered in the Swedish HF Registry at baseline*
Inpatient7379 (46%)15 618 (63%)<0.001
Outpatient8801 (54%)9194 (37%)
Specialty when entered in the Swedish HF Registry at baseline*
Cardiology8335 (54%)12 799 (55%)0.07
Internal medicine or geriatrics7126 (46%)10 534 (45%)
Follow‐up referral specialty* (physician specialty; not same as the HF nurse Fup)
Primary care or other care1665 (10%)13 841 (56%)<0.001
Cardiology or internal medicine14 246 (90%)10 888 (44%)
Clinical
Duration of heart failure, mo*
<69420 (59%)10 793 (44%)<0.001
≥66643 (41%)13 870 (56%)
NYHA*
I to II7768 (59%)9879 (59%)0.98
III to IV5372 (41%)6836 (41%)
EF, %*
≥502388 (15%)6958 (28%)<0.001
40 to 493207 (20%)5619 (23%)
<40%10 585 (65%)12 235 (49%)
Body mass index, mean (SD), kg/m2*27.1 (5.4)26.7 (5.5)<0.001
Blood pressure, mean (SD), mm Hg
Systolic126 (21)129 (21)<0.001
Diastolic74 (12)73 (12)0.005
Mean arterial blood pressure, mean (SD), mm Hg*91 (13)92 (13)<0.001
Heart rate, mean (SD), bpm*74 (15)74 (15)0.12
Laboratory values
eGFR, median (IQR), mL/min per 1.73 m2*a 65 (49–80)58 (43–74)<0.001
Hemoglobin, mean (SD), g/L135 (17)131 (17)<0.001
NT‐proBNP, median (IQR), pg/mL*2500 (1112–5740)2689 (1132–6161)0.001
Concomitant medications
ACE‐I or ARB*14 808 (92%)19 907 (81%)<0.001
Mineralocorticoid receptor blockers*4908 (30%)7083 (29%)<0.001
Digoxin*2632 (16%)4433 (18%)<0.001
Diuretic*12 370 (77%)20 193 (82%)<0.001
Nitrate*1976 (12%)4795 (19%)<0.001
Platelet inhibitor*7906 (49%)12 846 (52%)<0.001
Oral anticoagulant*6768 (42%)9204 (37%)<0.001
Statin*8051 (50%)10 767 (44%)<0.001
Beta‐blocker*14 626 (91%)20 842 (84%)<0.001
Device therapy*
No15 301 (95%)23 584 (96%)<0.001
CRT‐P190 (1%)320 (1%)
CRT‐D238 (2%)215 (1%)
ICD339 (2%)413 (2%)
History and comorbidity
Smoking*
Never5526 (40%)8472 (46%)<0.001
Previous6160 (45%)7899 (42%)
Current2069 (15%)2230 (12%)
Hypertension*9297 (57%)15 270 (62%)<0.001
Diabetes mellitus*4126 (25%)7016 (28%)<0.001
Ischemic heart disease*8198 (53%)13 623 (57%)<0.001
Coronary revascularization*5163 (32%)7192 (29%)<0.001
Atrial fibrillation/flutter*8307 (51%)14 448 (58%)<0.001
Peripheral artery disease*1415 (9%)2671 (11%)<0.001
Stroke or transient ischemic attack including intracranial bleed*2203 (14%)4695 (19%)<0.001
Severe bleeding*2857 (18%)5315 (21%)<0.001
Valve disease*3616 (23%)6886 (29%)<0.001
Anemia*4813 (30%)9204 (37%)<0.001
Lung disease*3718 (23%)6635 (27%)<0.001
Socioeconomic variables
Family type*
Living alone7569 (47%)13 356 (54%)<0.001
Married/cohabitating8556 (53%)11 426 (46%)
Education*
Compulsory school7248 (45%)12 708 (52%)<0.001
Secondary school6287 (39%)8544 (35%)
University2479 (16%)3261 (13)
Income*
≤Median6970 (43%)13 445 (54%)<0.001
>Median9093 (57%)11 291 (46%)
No. of children, mean (SD)*2 (1)2 (1)0.41

Variables labeled with an asterisk (“*”) were included in multiple imputation models together with “Planned nurse‐led HF clinic follow‐up” and the outcome all‐cause mortality/HF hospitalization, and in all the multivariable models. Variables were included in the models as reported in Figures 1 and 2 (except for year of registration included as continuous variable). ACE‐I indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CRT‐D, cardiac resynchronization therapy defibrillator; CRT‐P, cardiac resynchronization therapy pacemaker; EF, ejection fraction; eGFR, estimated glomerular filtration rate; Fup, follow‐up; HF heart failure; ICD, implantable cardioverter defibrillator; IQR, interquartile range; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association.

Calculated by the Modification of Diet in Renal Disease (MDRD) formula.

Baseline Characteristics Variables labeled with an asterisk (“*”) were included in multiple imputation models together with “Planned nurse‐led HF clinic follow‐up” and the outcome all‐cause mortality/HF hospitalization, and in all the multivariable models. Variables were included in the models as reported in Figures 1 and 2 (except for year of registration included as continuous variable). ACE‐I indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CRT‐D, cardiac resynchronization therapy defibrillator; CRT‐P, cardiac resynchronization therapy pacemaker; EF, ejection fraction; eGFR, estimated glomerular filtration rate; Fup, follow‐up; HF heart failure; ICD, implantable cardioverter defibrillator; IQR, interquartile range; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association.
Figure 1

Variables independently associated with planned follow‐up in nurse‐led heart failure clinic. ACE‐I indicates angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; CRT‐D, cardiac resynchronization therapy defibrillator; CRT‐P, cardiac resynchronization therapy pacemaker; HF, heart failure; HFmrEF, heart failure with mid‐range ejection fraction; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; ICD, implantable cardioverter defibrillator; MAP, mean arterial pressure; MRA, mineralocorticoid receptor antagonist; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York heart association; OR, odds ratio; TIA, transient ischemic attack.

Figure 2

Variables not independently associated with planned follow‐up in nurse‐led heart failure clinic. BMI indicates body mass index; eGFR, estimated glomerular filtration rate; HF, heart failure; OR, odds ratio.

Calculated by the Modification of Diet in Renal Disease (MDRD) formula.

Determinants of planned follow‐up in a nurse‐led HF clinic

Multivariable logistic regressions, using planned follow‐up in a nurse‐led HF clinic as a dependent variable and 39 variables labeled with an asterisk (“*”) in Table as covariates, were run to detect independent predictors of planned referral to a nurse‐led HF clinic.

Prognosis in planned versus non‐planned follow‐up in a nurse‐led HF clinic

Outcomes of our analysis were time to all‐cause death, time to first HF hospitalization (with censoring at death), and time to all‐cause death or first HF hospitalization (composite outcome). Unadjusted survivor functions were estimated using the Kaplan–Meier method. Multivariable Cox regression models were fitted in order to calculate the adjusted proportional hazard ratios (HRs) with 95% CIs. They included the same variables as in the logistic regression models as covariates. In order to assess the association between planned follow‐up in a nurse‐led HF clinic and prognosis in prespecified subgroups of patients, Cox regression models were performed including an interaction term between planned follow‐up in a nurse‐led HF clinic and relevant variables.

Sensitivity Analysis

Given that the time frame considered for this analysis (2000–2012) spanned different periods of HF care (ie, post–renin‐angiotensin‐system inhibitors and beta‐blocker introduction, but before mineralocorticoid receptor antagonists and cardiac resynchronization therapy introduction, and post–mineralocorticoid receptor antagonist and –cardiac resynchronization therapy introduction) and we enrolled also patients with very short follow‐up given that both the enrollment and the follow‐up ended in 2012, we performed a sensitivity analysis including only patients registered between January 1, 2006 and December 31, 2011. A value of P<0.05 was considered as statistically significant for all the analyses. Statistical analyses were performed by Stata software (version 14.2; StataCorp LLC, College Station, TX).

Results

Between May 11, 2000 and December 31, 2012, 80 772 registrations were recorded from 51 060 unique patients. Of cases, 40 992 patients had no missing data for planned follow‐up in a nurse‐led HF clinic or EF, or follow‐up ≤0 days, and 16 180 (39%) were planned to be followed up in a nurse‐led HF clinic.

Baseline Characteristics

Baseline characteristics are reported in Table. There were several differences between groups. Patients with planned follow‐up in nurse‐led HF clinics were more likely male, younger, registered as outpatients in the SwedeHF, followed up in specialty physician care, married or cohabitating, and with higher education and income. They were also more likely to have a shorter HF duration, HF with reduced EF, lower blood pressure and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) levels, and higher body mass index, estimated glomerular filtration rate, and hemoglobin levels. Finally, they were less likely to suffer from comorbidities and more likely to receive evidence‐based HF therapy.

Predictors of Planned Referral to a Nurse‐Led HF Clinic

We assessed independent associations of numerous characteristics with planned follow‐up in a nurse‐led HF clinic. We displayed the adjusted odds ratios in descending order of magnitude in forest plots (Figures 1 and 2). Variables independently associated with planned follow‐up in nurse‐led heart failure clinic. ACE‐I indicates angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; CRT‐D, cardiac resynchronization therapy defibrillator; CRT‐P, cardiac resynchronization therapy pacemaker; HF, heart failure; HFmrEF, heart failure with mid‐range ejection fraction; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; ICD, implantable cardioverter defibrillator; MAP, mean arterial pressure; MRA, mineralocorticoid receptor antagonist; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York heart association; OR, odds ratio; TIA, transient ischemic attack. Variables not independently associated with planned follow‐up in nurse‐led heart failure clinic. BMI indicates body mass index; eGFR, estimated glomerular filtration rate; HF, heart failure; OR, odds ratio. Among the demographic/organizational variables, follow‐up referral in specialist care, being registered in the SwedeHF as an outpatient, male sex, and being married or cohabitating were associated with planned referral to a nurse‐led HF clinic in unadjusted and adjusted analyses, whereas education, age, and income were no longer significant after adjustments. Conversely, in both study arms, patients were more likely to be registered in the SwedeHF in cardiology departments, but after adjustments, those registered in internal medicine/geriatric departments were more likely planned to be referred to nurse‐led HF clinics. Among the clinical/comorbidity variables, HF with reduced EF and HF with mid‐range EF subtypes, shorter HF duration, higher NT‐proBNP levels, and absence of comorbidities, such as anemia, atrial fibrillation, valvular disease, peripheral artery disease, history of stroke, lung disease, lower blood pressure, and current or previous smoking, were confirmed as independent predictors of planned follow‐up in a nurse‐led HF clinic after adjustments. In adjusted analyses, higher New York Heart Association (NYHA) class and higher heart rate were also independently associated with likelihood of receiving follow‐up in a nurse‐led HF clinic. Conversely, other comorbidities, such as body mass index, hypertension, diabetes mellitus, history of severe bleeding, renal function, history of ischemic heart disease, and coronary revascularization, were not independently associated with planned referral to a nurse‐led HF clinic after adjustments. We also investigated the different use of treatments in patients planned to be versus not to be referred to a nurse‐led HF clinic. Being prescribed angiotensin‐converting enzyme inhibitors or angiotensin receptor blockers, beta‐blockers, mineralocorticoid receptor antagonists, and diuretics was associated with higher likelihood of planned referral, whereas receiving cardiac resynchronization therapy or an implantable cardioverter defibrillator or nitrates was associated with less likelihood of planned referral to a nurse‐led HF clinic.

Outcome Analysis

Figure 3A shows the Kaplan–Meier curves for time to all‐cause mortality, time to HF hospitalization, and time to all‐cause mortality/HF hospitalization in patients planned to be versus not to be referred to a nurse‐led HF clinic. In unadjusted analyses, planned follow‐up in a nurse‐led HF clinic was associated with a significant reduction of risk of all‐cause death (HR, 0.61; 95% CI, 0.59–0.63), HF hospitalization (HR, 0.92; 95% CI, 0.89–0.95), and composite of all‐cause death and HF hospitalization (HR, 0.77; 95% CI, 0.75–0.79). Median time (interquartile range) to event was 2.2 (0.9–4.1) years for all‐cause death and 1.4 (0.4–3.3) years for HF hospitalization/all‐cause death. After adjustments, risk of mortality (HR, 0.90; 95% CI, 0.86–0.93) and of the composite outcome (HR, 0.96; 95% CI, 0.93–0.99) remained significantly reduced, whereas risk of HF hospitalization was not significantly associated with planned referral to a nurse‐led HF clinic (HR, 1.03; 95% CI, 0.99–1.07).
Figure 3

Outcome analysis (A) in the overall population and (B) in patients enrolled between 2006 and 2011 (sensitivity analysis). In each graph, the number of events, as % of the number of patients, and the event rates, as patient‐years, are reported for each study arm. adj indicates adjusted; HF, heart failure; HR, hazard ratio; pt‐yrs, patient‐years; unadj, unadjusted.

Outcome analysis (A) in the overall population and (B) in patients enrolled between 2006 and 2011 (sensitivity analysis). In each graph, the number of events, as % of the number of patients, and the event rates, as patient‐years, are reported for each study arm. adj indicates adjusted; HF, heart failure; HR, hazard ratio; pt‐yrs, patient‐years; unadj, unadjusted. The association between planned follow‐up in a nurse‐led HF clinic and outcomes was consistent in most subgroups explored (Figure 4). However, in some of them, such as NYHA class I to II, HF duration <6 months, higher estimated glomerular filtration rate, and absence of concomitant diabetes mellitus and ischemic heart disease, planned referral to a nurse‐led HF clinic was associated with even greater benefit in terms of mortality reduction. Planned follow‐up in a nurse‐led HF clinic was associated with higher risk of HF hospitalization in age ≤75 years, HF with reduced EF and HF with preserved EF, HF duration ≥6 months, and lower NT‐proBNP. Risk of the composite outcome was lower in patients planned to be referred to a nurse‐led HF clinic with age >75 years, NYHA class I to II, and HF duration <6 months and in patients who did not have diabetes mellitus.
Figure 4

Forest plot reporting hazard ratios for planned follow‐up in nurse‐led heart failure clinic in prespecified subgroups. ACE‐I indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; HF, heart failure; HFmrEF, heart failure with mid‐range ejection fraction; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; HR, hazard ratio; MAP, mean arterial pressure; MRA, mineralocorticoid receptor antagonist; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association.

Forest plot reporting hazard ratios for planned follow‐up in nurse‐led heart failure clinic in prespecified subgroups. ACE‐I indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; HF, heart failure; HFmrEF, heart failure with mid‐range ejection fraction; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; HR, hazard ratio; MAP, mean arterial pressure; MRA, mineralocorticoid receptor antagonist; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association. Between January 1, 2006 and December 31, 2011, 31 938 patients fulfilled the inclusion/exclusion criteria of our study. Consistently with the main analysis, 38% (12 273 patients) of our population was planned for referral to a nurse‐led HF clinic. Distribution of the baseline characteristics of the population considered at the sensitivity analysis was similar to the main analysis (Table S1). After adjustments, planned follow‐up in a nurse‐led HF clinic was associated with a statistically significant reduction of the risk of all‐cause mortality (HR, 0.90; 95% CI, 0.86–0.95) and of the composite outcome (HR, 0.96; 95% CI, 0.93–0.99), but not of HF hospitalization (HR, 1.02; 95% CI, 0.98–1.07; Figure 3B).

Discussion

In this large and comprehensive analysis from the SwedeHF, we observed that patients with more‐severe HF were more likely to be planned for referral to nurse‐led HF clinics. Indeed, sicker patients may have more need for this type of intervention because of expected poorer prognosis. On the contrary, patients with comorbidities were less likely to be planned for referral to a nurse‐led HF clinic, although they had an even larger need for a structured and comprehensive follow‐up. We also reported lower likelihood of being referred to a nurse‐led HF clinic in patients living alone and women. Our results are concerning given that they show that there is an unjustified limited referral to this type of follow‐up. Indeed, as observed for many other treatments in HF,13, 14 referral to a nurse‐led clinic was limited, although it was associated with reduced mortality.

Utilization of Nurse‐Led HF Clinics

In HF, a well‐structured follow‐up should be provided during the disease trajectory. Indeed, early follow‐up during the vulnerable phase after hospitalization is vital to prevent readmissions and death.10 Based on American and European HF guidelines, multidisciplinary care is recommended, and a nurse‐led HF clinic is 1 established model of this type of care.2, 4 Despite guidelines recommendations and several meta‐analyses that provided evidence of improved survival/morbidity,2, 4, 9, 10, 11, 15 multidisciplinary approaches and referral to nurse‐led HF clinics have not been fully implemented in HF care in many countries.16 In Sweden, follow‐up in nurse‐led HF clinics has been implemented in almost all hospitals7, 17 and, to some extent, also in primary care.6 Nevertheless, we showed that less than half of the population enrolled in our study was planned for referral to a nurse‐led HF clinic. Major gains could be made referring patients to this type of follow‐up, especially in terms of improving event‐free survival, as suggested by our and previous studies.17, 18 In Sweden19 as well as in many other countries worldwide,20 healthcare legislation provides equal access to care to all citizens. In this report, we found less likelihood of being planned for a follow‐up in an HF clinic based on female sex and living alone, which is consistent with previous studies.13, 21 However, in Sweden, there are no financial or organizational hurdles to implement hospital‐ and primary‐care–based, nurse‐led HF clinics, and most patients state that they prefer this type of follow‐up.6 One proposed reason for a lack of structured nurse‐led HF referral is that many healthcare providers neglect the importance of monitoring symptoms, optimizing treatment and providing education and psychosocial support to patients with HF.22 Furthermore, we showed that having comorbidities and suffering from HF with preserved EF/HF with mid‐range EF and of less‐severe HF (ie, lower NYHA class and NT‐proBNP levels and high mean arterial blood pressure) were associated with less likelihood of being planned for referral to HF clinics. A potential explanation for this finding might be that physicians expect more benefit of referral to a nurse‐led HF clinic in patients with more‐severe HF and less comorbidities. However, this proposed hypothesis is not supported by our data. Indeed, we showed similar benefits in terms of mortality/morbidity in patients with different EF, high versus low NT‐proBNP, and lower HR for mortality in those with NYHA I to II and overall reduced risk of outcomes regardless of comorbidities. Additionally, presence of comorbidities in HF is associated with poorer survival and quality of life.23 As a consequence, a stricter and more‐comprehensive follow‐up in an HF nurse‐led clinic might be even more effective in these patients. Interestingly, we showed that patients registered at baseline in medicine/geriatrics rather than cardiology departments were more likely to be planned for referral, suggesting that referral may have been considered more needed. Patients with planned referral to specialty versus primary‐care follow‐up care were also more likely to be planned for referral to a nurse‐led clinic, suggesting that specialists and HF nurses work in synergy to determine initiation and titration of HF medications and devices during follow‐up.24 There are 2 potential explanations for the association between planned referral to a nurse‐led HF clinic and optimized use of HF treatments shown in our analysis. First, patients reported as planned for referral at the index date had been previously referred to an HF nurse‐led clinic, which may explain the optimized use of HF therapies. Second, patients who were better treated were also more likely to be planned for referral to nurse‐led HF clinic as part of the treatment plan. We also found that patients with HF diagnosed within the past 6 months were more likely to be planned for referral, which may be interpreted by higher expected benefit of intensive HF therapy initiation and titration in the early stages of the condition, as confirmed by our subgroup analysis.

Prognosis Associated With Planned Referral to a Nurse‐Led HF Clinic

In previous meta‐analyses,9, 10, 11, 15 follow‐up in a nurse‐led clinic was associated with improved survival and reduced risk of hospital readmission. However, several individual studies have been inconclusive and have shown inconsistent results.25, 26 Most trials compared an intervention with “usual care,” but whether usual care in trials published during the early 1990s is comparable to current practice is not clear.9, 10, 11, 15 Additional issues of published trials were low power, inclusion of highly selected cohort, and use of different control arms, which ranged from intensive follow‐up by cardiologists25 to almost no follow‐up at all.18 Therefore, it is not clear whether previous studies are comparable with current practice and whether their findings may be generalized to real‐world setting. The current analysis, including more than 40 000 patients from the large and unselected HF population of the SwedeHF, showed reduced mortality associated with planned referral to a nurse‐led HF clinic, which is consistent with previous evidences.9, 10, 11, 15 However, similar risk of HF hospitalization was observed in patients who were versus those who were not planned for referral. As previously hypothesized,27, 28 referral to nurse‐led HF clinics could impact on survival by several mechanisms. It could foster treatment optimization and improve patients’ understanding of HF and self‐care. It could also promote involvement of other people in patient’s self‐care, psychosocial support, and well‐being. Finally, it could provide an easier access to health professionals and continuity of care with stricter and longer follow‐up. Referral to HF clinics has been associated with reduced risk of hospitalization in some studies,18, 29 but not in others25, 26 and in ours. Inconsistent findings may be explained by differences in content of the interventions, settings, and patient populations.18, 25, 26, 29 Some hospital admissions may be necessary and beneficial in terms of improving symptoms, health‐related quality of life, and survival. Finally, closer monitoring may foster earlier identification of patients with worsening status, who were subsequently hospitalized.

Limitations

Our observational study is subject to confounding and selection bias. Indeed, although we performed extensive adjustments, we cannot rule out potential residual confounding. Exposure in the current analysis was planned referral to a nurse‐led HF clinic, so similarly to what happens in trials where treatment is considered according to an intention‐to‐treat protocol, we cannot exclude that some patients may not have undergone or completed follow‐up although suggested at the time of registration in the SwedeHF. Notably, each nurse‐led HF clinic may vary, based on nurses’ experience, knowledge base in HF, time spent communicating with patients, techniques used in communication (ie, motivational interviewing), teach‐back and shared decision making, and, also, based on expectations of physician providers of each practice. Additionally, HF nurse‐led clinics may have changed in scope of work over time, as HF therapies advanced. A propensity‐matched study design based on temporal trends would consider changes in practice over time and increase comparability between study arms, but limit sample size and generalizability of findings. We do not know the value of nurse‐led clinics based on contemporary management; they could be more or less valuable now compared with 2000. Another limitation is the time frame of this report (2000–2012) given that treatments have advanced over time. Our study population was enrolled over 12 years characterized by important changes in HF care (ie, introduction of mineralocorticoid receptor antagonists and cardiac resynchronization therapy). Although we adjusted our analysis for the year of enrollment and baseline therapy, we cannot exclude residual confounding effect of time of enrollment on our findings.

Conclusions

In this nation‐wide registry, 39% of our identified HF cohort was planned to be referred to a nurse‐led HF clinic. Patients who were planned for referral had more‐severe HF, higher use of HF treatments, and less comorbidities at referral. Planned referral was independently associated with lower risk of death, but not of HF hospitalization.

Source of Funding

This study was supported, in part, by grants from the Swedish Research Council (grants 2013‐23897‐104604‐23 and 523‐2014‐2336) and the Swedish Heart Lung Foundation (grants 20120321 and 20150557). No funding agency had any role in the design and conduct of the study, collection, management, analysis, or interpretation of the data or in the preparation or approval of the manuscript.

Disclosures

Savarese has no conflict of interest related to the current work. Outside the current work, he received research grants from Boehringer Ingelheim and Merck Sharp & Dohme and honoraria from Vifor, Servier, Roche, AstraZeneca, and SPA. Dahlström has no conflict of interest related to the present work. Unrelated to the present work, he received research grants from AstraZeneca and consultancies/honorarias from AstraZeneca and Novartis. Lund has no conflict of interest related to present work. Unrelated to the present work, he received grants and consulting from AstraZeneca, Novartis, and Boehringer Ingelheim, consulting from Sanofi, and consulting from Vifor Pharma. Strömberg has no conflict of interest related to the present work. Unrelated to the present work, she got consultancies/honorarias from Novartis. Table S1. Baseline Characteristics in Patients Enrolled Between 2006 and 2011 (sensitivity analysis) Click here for additional data file.
  29 in total

1.  Association between demographic, organizational, clinical, and socio-economic characteristics and underutilization of cardiac resynchronization therapy: results from the Swedish Heart Failure Registry.

Authors:  Lars H Lund; Frieder Braunschweig; Lina Benson; Marcus Ståhlberg; Ulf Dahlström; Cecilia Linde
Journal:  Eur J Heart Fail       Date:  2017-02-07       Impact factor: 15.534

2.  Effects of a multidisciplinary, home-based intervention on unplanned readmissions and survival among patients with chronic congestive heart failure: a randomised controlled study.

Authors:  S Stewart; J E Marley; J D Horowitz
Journal:  Lancet       Date:  1999-09-25       Impact factor: 79.321

3.  Global Public Health Burden of Heart Failure.

Authors:  Gianluigi Savarese; Lars H Lund
Journal:  Card Fail Rev       Date:  2017-04

4.  Heart failure registry: a valuable tool for improving the management of patients with heart failure.

Authors:  Asa Jonsson; Magnus Edner; Urban Alehagen; Ulf Dahlström
Journal:  Eur J Heart Fail       Date:  2010-01       Impact factor: 15.534

5.  Cardiology participation improves outcomes in patients with new-onset heart failure in the outpatient setting.

Authors:  Maria Ansari; Mark Alexander; Ali Tutar; David Bello; Barry M Massie
Journal:  J Am Coll Cardiol       Date:  2003-01-01       Impact factor: 24.094

6.  Nurse-led heart failure clinics in Sweden.

Authors:  A Strömberg; J Mårtensson; B Fridlund; U Dahlström
Journal:  Eur J Heart Fail       Date:  2001-01       Impact factor: 15.534

Review 7.  What Are Effective Program Characteristics of Self-Management Interventions in Patients With Heart Failure? An Individual Patient Data Meta-analysis.

Authors:  Nini H Jonkman; Heleen Westland; Rolf H H Groenwold; Susanna Ågren; Manuel Anguita; Lynda Blue; Pieta W F Bruggink-André de la Porte; Darren A DeWalt; Paul L Hebert; Michele Heisler; Tiny Jaarsma; Gertrudis I J M Kempen; Marcia E Leventhal; Dirk J A Lok; Jan Mårtensson; Javier Muñiz; Haruka Otsu; Frank Peters-Klimm; Michael W Rich; Barbara Riegel; Anna Strömberg; Ross T Tsuyuki; Jaap C A Trappenburg; Marieke J Schuurmans; Arno W Hoes
Journal:  J Card Fail       Date:  2016-06-30       Impact factor: 5.712

8.  Organization of heart failure management in European Society of Cardiology member countries: survey of the Heart Failure Association of the European Society of Cardiology in collaboration with the Heart Failure National Societies/Working Groups.

Authors:  Petar M Seferovic; Stefan Stoerk; Gerasimos Filippatos; Viacheslav Mareev; Ausra Kavoliuniene; Arsen D Ristic; Piotr Ponikowski; John McMurray; Aldo Maggioni; Frank Ruschitzka; Dirk J van Veldhuisen; Andrew Coats; Massimo Piepoli; Theresa McDonagh; Jillian Riley; Arno Hoes; Burkert Pieske; Milan Dobric; Zoltan Papp; Alexandre Mebazaa; John Parissis; Tuvia Ben Gal; Dragos Vinereanu; Dulce Brito; Johann Altenberger; Plamen Gatzov; Ivan Milinkovic; Jaromír Hradec; Jean-Noel Trochu; Offer Amir; Brenda Moura; Mitja Lainscak; Josep Comin; Gerhard Wikström; Stefan Anker
Journal:  Eur J Heart Fail       Date:  2013-06-19       Impact factor: 15.534

9.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur Heart J       Date:  2016-05-20       Impact factor: 29.983

10.  Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry.

Authors:  Claire A Lawson; Ivonne Solis-Trapala; Ulf Dahlstrom; Mamas Mamas; Tiny Jaarsma; Umesh T Kadam; Anna Stromberg
Journal:  PLoS Med       Date:  2018-03-27       Impact factor: 11.069

View more
  11 in total

1.  Validation of the ELAN-HF Score and self-care behaviour on the nurse-led heart failure clinic after admission for heart failure.

Authors:  T A M Vinck; R Deneer; Ccag Verstappen; W E Kok; K Salah; V Scharnhorst; L C Otterspoor
Journal:  BMC Nurs       Date:  2022-06-21

2.  Strategic Recommendations to Bridge the Gaps in Awareness, Diagnosis and Prevention of Heart Failure in the Middle East Region and Africa.

Authors:  Ahmed Bennis; Elijah N Ogola; Eric Klug; Hadi N Skouri; Hilal Bahjet Al Saffar; Hany Ragy; Kamal Waheeb AlGhalayini; Khaldoon A Alhumood; Magdy Abdelhamid; Mehmet Birhan Yilmaz; Ramzi Tabbalat; Yüksel Çavuşoğlu
Journal:  J Saudi Heart Assoc       Date:  2022-04-15

3.  Therapeutic inertia in the pharmacological management of heart failure with reduced ejection fraction.

Authors:  Nicolas Girerd; Jean-Jacques Von Hunolstein; Pierpaolo Pellicori; Antoni Bayés-Genís; Tiny Jaarsma; Lars H Lund; Pascal Bilbault; Jean-Marc Boivin; Tahar Chouihed; Jérôme Costa; Jean-Christophe Eicher; Estelle Fall; David Kenizou; Bruno Maillier; Pierre Nazeyrollas; Gérald Roul; Noura Zannad; Patrick Rossignol; Marie-France Seronde
Journal:  ESC Heart Fail       Date:  2022-04-15

4.  Nurse-Led Heart Failure Clinics Are Associated With Reduced Mortality but Not Heart Failure Hospitalization.

Authors:  Gianluigi Savarese; Lars H Lund; Ulf Dahlström; Anna Strömberg
Journal:  J Am Heart Assoc       Date:  2019-05-21       Impact factor: 5.501

5.  Tools to Support Self-Care Monitoring at Home: Perspectives of Patients with Heart Failure.

Authors:  Ina Thon Aamodt; Anna Strömberg; Ragnhild Hellesø; Tiny Jaarsma; Irene Lie
Journal:  Int J Environ Res Public Health       Date:  2020-11-30       Impact factor: 3.390

6.  Meaningful use of a digital platform and structured telephone support to facilitate remote person-centred care - a mixed-method study on patient perspectives.

Authors:  Emmelie Barenfeld; Joanne M Fuller; Sara Wallström; Andreas Fors; Lilas Ali; Inger Ekman
Journal:  BMC Health Serv Res       Date:  2022-04-04       Impact factor: 2.655

7.  Patient profile and outcomes associated with follow-up in specialty vs. primary care in heart failure.

Authors:  Felix Lindberg; Lars H Lund; Lina Benson; Benedikt Schrage; Magnus Edner; Ulf Dahlström; Cecilia Linde; Giuseppe Rosano; Gianluigi Savarese
Journal:  ESC Heart Fail       Date:  2022-02-15

8.  Inequalities in heart failure care in a tax-financed universal healthcare system: a nationwide population-based cohort study.

Authors:  Inge Schjødt; Søren P Johnsen; Anna Strömberg; Jan B Valentin; Brian B Løgstrup
Journal:  ESC Heart Fail       Date:  2020-08-07

Review 9.  Roles of Nursing in the Management of Geriatric Cardiovascular Diseases.

Authors:  Chunzhi Zhang; Congling Xiang; Xin Tian; Jun Xue; Gengxu He; Xueliang Wu; Zubing Mei; Tian Li
Journal:  Front Med (Lausanne)       Date:  2021-09-08

10.  Evidence-Based Process Performance Measures and Clinical Outcomes in Patients With Incident Heart Failure With Reduced Ejection Fraction: A Danish Nationwide Cohort Study.

Authors:  Inge Schjødt; Søren P Johnsen; Anna Strömberg; Adam D DeVore; Jan B Valentin; Brian B Løgstrup
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2022-03-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.