Richard M. de Jong

Long-term follow-up in optimally treated and stable heart failure patients: primary care vs. heart failure clinic. Results of the COACH-2 study.

It has been suggested that home‐based heart failure (HF) management in primary care may be an alternative to clinic‐based management in HF patients. However, little is known about adherence to HF guidelines and adherence to the medication regimen in these home‐based programmes. The aim of the current study was to determine whether long‐term follow‐up and treatment in primary care is equally effective as follow‐up at a specialized HF clinic in terms of guideline adherence and patient adherence, in HF patients initially managed and up‐titrated to optimal treatment at a specialized HF clinic.

Coronary vasomotion in patients with syndrome X : Evaluation with positron emission tomography and parametric myocardial perfusion imaging

The aim of this study was to elucidate further the causative mechanism of abnormal coronary vasomotion in patients with syndrome X. In patients with syndrome X, defined as angina pectoris and documented myocardial ischaemia during stress testing with normal findings at coronary angiography, abnormal coronary vasomotion of either the micro- or the macrocirculation has been suggested as the causative mechanism. Accordingly, we evaluated endothelial function, vasodilator reserve, and perfusion heterogeneity in these patients. Twenty-five patients with syndrome X (definitely normal coronary arteriogram, group A), 15 patients with minimal coronary artery disease (group B) and 21 healthy volunteers underwent [13N]ammonia positron emission tomography at rest, during cold pressor stimulation (endothelial function) and during dipyridamole stress testing (vasodilator reserve). Heterogeneity of myocardial perfusion was analysed by parametric polar mapping using a 480-segment model. In both patient groups, resting perfusion was increased compared to the normal subjects: group A, 127±31 ml·min−1·100 g−1; group B, 124±30 ml·min−1·100 g−1 normal subjects, 105±21 ml·min−1·100 g−1 (groups A and B vs normals,P<0.05). These differences were abolished after correction for rate-pressure product. During cold pressor stimulation, the perfusion responses (ratio of cold pressor perfusion to resting perfusion) were similar among the patients and the control subjects (group A, 1.20±0.23; group B, 1.24±0.22; normal subjects, 1.23±0.14). Likewise, during dipyridamole stress testing, perfusion responses were similar among the three groups (group A, 2.71±0.67; group B, 2.77±1.29; normal subjects, 2.91±1.04). In group A the heterogeneity of resting perfusion, expressed as coefficient of variation, was significantly different from the volunteers (20.1±4.5 vs 17.0±3.0,P<0.05). In group B (coefficient of variation 19.4±3.9) the difference from normal volunteers was not significant. In this study, patients with syndrome X and patients with minimal coronary artery disease showed normal perfusion responses during cold pressor stimulation and dipyridamole stress testing. Our findings therefore suggest that endothelial dysfunction and impaired vasodilator reserve are of no major pathophysiological relevance in patients with syndrome X. Rather, other mechanisms such as increased sympathetic tone and focal release of vasoactive substances may play a role in the pathogenesis of syndrome X.

Health Professionals' Expectations Versus Experiences of Internet-Based Telemonitoring: Survey Among Heart Failure Clinics

Background Although telemonitoring is increasingly used in heart failure care, data on expectations, experiences, and organizational implications concerning telemonitoring are rarely addressed, and the optimal profile of patients who can benefit from telemonitoring has yet to be defined. Objective To assess the actual status of use of telemonitoring and to describe the expectations, experiences, and organizational aspects involved in working with telemonitoring in heart failure in the Netherlands. Methods In collaboration with the Netherlands Organization for Applied Scientific Research (TNO), a 19-item survey was sent to all outpatient heart failure clinics in the Netherlands, addressed to cardiologists and heart failure nurses working in the clinics. Results Of the 109 heart failure clinics who received a survey, 86 clinics responded (79%). In total, 31 out of 86 (36%) heart failure clinics were using telemonitoring and 12 heart failure clinics (14%) planned to use telemonitoring within one year. The number of heart failure patients receiving telemonitoring generally varied between 10 and 50; although in two clinics more than 75 patients used telemonitoring. The main goals for using telemonitoring are “monitoring physical condition”, “monitoring signs of deterioration” (n=39, 91%), “monitoring treatment” (n=32, 74%), “adjusting medication” (n=24, 56%), and “educating patients” (n=33, 77%). Most patients using telemonitoring were in the New York Heart Association (NYHA) functional classes II (n=19, 61%) and III (n=27, 87%) and were offered the use of the telemonitoring system “as long as needed” or without a time limit. However, the expectations of the use of telemonitoring were not met after implementation. Eight of the 11 items about expectations versus experiences were significantly decreased (P<.001). Health care professionals experienced the most changes related to the use of telemonitoring in their work, in particular with respect to “keeping up with current development” (before 7.2, after 6.8, P=.15), “being innovative” (before 7.0, after 6.1, P=.003), and “better guideline adherence” (before 6.3, after 5.3, P=.005). Strikingly, 20 out of 31 heart failure clinics stated that they were considering using a different telemonitoring system than the system used at the time. Conclusions One third of all heart failure clinics surveyed were using telemonitoring as part of their care without any transparent, predefined criteria of user requirements. Prior expectations of telemonitoring were not reflected in actual experiences, possibly leading to disappointment.

Perceived barriers of heart failure nurses and cardiologists in using clinical decision support systems in the treatment of heart failure patients

BackgroundClinical Decision Support Systems (CDSSs) can support guideline adherence in heart failure (HF) patients. However, the use of CDSSs is limited and barriers in working with CDSSs have been described as a major obstacle. It is unknown if barriers to CDSSs are present and differ between HF nurses and cardiologists. Therefore the aims of this study are; 1. Explore the type and number of perceived barriers of HF nurses and cardiologists to use a CDSS in the treatment of HF patients. 2. Explore possible differences in perceived barriers between two groups. 3. Assess the relevance and influence of knowledge management (KM) on Responsibility/Trust (R&T) and Barriers/Threats (B&T).MethodsA questionnaire was developed including; B&T, R&T, and KM. For analyses, descriptive techniques, 2-tailed Pearson correlation tests, and multiple regression analyses were performed.ResultsThe response- rate of 220 questionnaires was 74%. Barriers were found for cardiologists and HF nurses in all the constructs. Sixty-five percent did not want to be dependent on a CDSS. Nevertheless thirty-six percent of HF nurses and 50% of cardiologists stated that a CDSS can optimize HF medication. No relationship between constructs and age; gender; years of work experience; general computer experience and email/internet were observed. In the group of HF nurses a positive correlation (r .33, P<.01) between years of using the internet and R&T was found. In both groups KM was associated with the constructs B&T (B=.55, P=<.01) and R&T (B=.50, P=<.01).ConclusionsBoth cardiologists and HF-nurses perceived barriers in working with a CDSS in all of the examined constructs. KM has a strong positive correlation with perceived barriers, indicating that increasing knowledge about CDSSs can decrease their barriers.

Treating diastolic heart failure

In around half of patients diagnosed with heart failure, a relatively preserved systolic function (left ventricular ejection fraction (LVEF) >0.40–0.50) is found. These patients are generally diagnosed with diastolic heart failure or heart failure with preserved ejection fraction. Owing to an ageing population and an increased incidence of hypertension and diabetes, this percentage is expected to increase in the near future. The diagnosis of diastolic heart failure is challenging. In a consensus statement of the European Society of Cardiology, the definition of diastolic heart failure is based on signs and symptoms of heart failure, a relatively preserved left ventricular systolic function (LVEF >0.40–0.50), evidence of diastolic dysfunction on echocardiography and raised natriuretic peptides.1 Treatment of diastolic heart failure is hampered by the absence of evidence for a specific drug that can reduce mortality and morbidity in these patients. Theoretically, a number of treatments might benefit patients with diastolic heart failure. First, in symptomatic patients, diuretics will reduce fluid overload and symptoms. Second, heart rate lowering and negative inotropic agents, such as (some) calcium channel blockers and β blockers, will increase left ventricular filling time and might improve relaxation. Third, every agent that will decrease blood pressure is expected to reduce left ventricular hypertrophy and therefore improve relaxation. Of particular interest are blockers of the renin–angiotensin system, such as ACE inhibitors, angiotensin receptor blockers (ARBs) and aldosterone antagonists. Their potential benefit can be explained by a reduction in both pre- and afterload, a reduction in left ventricular hypertrophy, a reduction in interstitial collagen deposition and fibrosis and, possibly, a favourable effect …

Follow-up and treatment of an instable patient with heart failure using telemonitoring and a computerised disease management system: a case report.

In the last decades, the introduction of information and communication technology (ICT) in healthcare promised an improved quality of care while reducing workload and improving cost-effectiveness. This might be realised by the use of computer guided decision support systems and telemonitoring. This case study describes the process of care of a patient with chronic heart failure, who was treated with a computerised disease management system in combination with telemonitoring. With the help of these appliances, we think we were probably able to prevent at least two readmissions for heart failure in a period of 10 months. We also gained more insight into patient’s behaviour with regards to compliance with the heart failure regimen at home. Frequent contact at distance and the online availability of physiological measurements at home facilitated patient tailored education and helped the patient to react adequately to symptoms of deterioration. Additionally, up-titration of heart failure medication was performed without contacting the patient at the outpatient clinic.

Endothelial dysfunction and reduced myocardial perfusion reserve in heart failure secondary to coronary artery disease

Patients with left ventricular dysfunction and normal B-type atrial natriuretic peptide (BNP) have endothelial dysfunction and a reduction in myocardial perfusion reserve comparable to patients with elevated BNP. Thus, left ventricular dysfunction is accompanied by endothelial dysfunction and a reduced myocardial perfusion reserve early in the progression of left ventricular dysfunction to heart failure.

The value of INnovative ICT guided disease management combined with Telemonitoring in OUtpatient clinics for Chronic Heart failure patients. Design and methodology of the IN TOUCH study: a multicenter randomised trial.

BackgroundAlthough the value of telemonitoring in heart failure patients is increasingly studied, little is known about the value of the separate components of telehealth: ICT guided disease management and telemonitoring. The aim of this study is to investigate the value of telemonitoring added to ICT guided disease management (DM) on the quality and efficiency of care in patients with chronic heart failure (CHF) after a hospitalisation.Methods/DesignThe study is divided in two arms; a control arm (DM) and an intervention arm (DM+TM) in 10 hospitals in the Netherlands. In total 220 patients will be included after worsening of CHF (DM: N = 90, DM+TM: N = 130). Total follow-up will be 9 months. Data will be collected at inclusion and then after 2 weeks, 4.5 and 9 months. The primary endpoint of this study is a composite score of: 1: death from any cause during the follow-up of the study, 2: first readmission for HF and 3: change in quality of life compared to baseline, assessed by the Minnesota Living with Heart failure Questionnaire. The study has started in December 2009 and results are expected in 2012.ConclusionsThe IN TOUCH study is the first to investigate the effect of telemonitoring on top of ICT guided DM on the quality and efficiency of care in patients with worsening HF and will use a composite score as its primary endpoint.Trial registrationNetherlands Trial Register (NTR): NTR1898

The value of INnovative ICT guided disease management combined with Telemonitoring in OUtpatient clinics for Chronic Heart failure patients. Design and methodology of the IN TOUCH study

BackgroundAlthough the value of telemonitoring in heart failure patients is increasingly studied, little is known about the value of the separate components of telehealth: ICT guided disease management and telemonitoring. The aim of this study is to investigate the value of telemonitoring added to ICT guided disease management (DM) on the quality and efficiency of care in patients with chronic heart failure (CHF) after a hospitalisation.Methods/DesignThe study is divided in two arms; a control arm (DM) and an intervention arm (DM+TM) in 10 hospitals in the Netherlands. In total 220 patients will be included after worsening of CHF (DM: N = 90, DM+TM: N = 130). Total follow-up will be 9 months. Data will be collected at inclusion and then after 2 weeks, 4.5 and 9 months. The primary endpoint of this study is a composite score of: 1: death from any cause during the follow-up of the study, 2: first readmission for HF and 3: change in quality of life compared to baseline, assessed by the Minnesota Living with Heart failure Questionnaire. The study has started in December 2009 and results are expected in 2012.ConclusionsThe IN TOUCH study is the first to investigate the effect of telemonitoring on top of ICT guided DM on the quality and efficiency of care in patients with worsening HF and will use a composite score as its primary endpoint.Trial registrationNetherlands Trial Register (NTR): NTR1898

The value of telemonitoring and ICT-guided disease management in heart failure : Results from the IN TOUCH study

AIM It is still unclear whether telemonitoring reduces hospitalization and mortality in heart failure (HF) patients and whether adding an Information and Computing Technology-guided-disease-management-system (ICT-guided-DMS) improves clinical and patient reported outcomes or reduces healthcare costs. METHODS A multicenter randomized controlled trial was performed testing the effects of INnovative ICT-guided-DMS combined with Telemonitoring in OUtpatient clinics for Chronic HF patients (IN TOUCH) with in total 179 patients (mean age 69 years; 72% male; 77% in New York Heart Association Classification (NYHA) III-IV; mean left ventricular ejection fraction was 28%). Patients were randomized to ICT-guided-DMS or to ICT-guided-DMS+telemonitoring with a follow-up of nine months. The composite endpoint included mortality, HF-readmission and change in health-related quality of life (HR-QoL). RESULTS In total 177 patients were eligible for analyses. The mean score of the primary composite endpoint was -0.63 in ICT-guided-DMS vs. -0.73 in ICT-guided-DMS+telemonitoring (mean difference 0.1, 95% CI: -0.67 +0.82, p=0.39). All-cause mortality in ICT-guided-DMS was 12% versus 15% in ICT-guided-DMS+telemonitoring (p=0.27); HF-readmission 28% vs. 27% p=0.87; all-cause readmission was 49% vs. 51% (p=0.78). HR-QoL improved in most patients and was equal in both groups. Incremental costs were €1360 in favor of ICT-guided-DMS. ICT-guided-DMS+telemonitoring had significantly fewer HF-outpatient-clinic visits (p<0.01). CONCLUSION ICT-guided-DMS+telemonitoring for the management of HF patients did not affect the primary and secondary endpoints. However, we did find a reduction in visits to the HF-outpatient clinic in this group suggesting that telemonitoring might be safe to use in reorganizing HF-care with relatively low costs.