Personal Decision Support System for Heart Failure Management
Personal Decision Support System for Heart Failure Management
Despite the availability of evidence-based guidelines for disease management in patients with
 congestive heart failure (CHF), the uptake of these guidelines in clinical practice is
 sub-optimal and adherence rates are disappointing. Within the HeartMan project, a personal
 e-health system was developed to help CHF patients manage their disease, with the ultimate
 goal to improve health-related quality of life (HRQoL). The system uses wrist-band sensors to
 monitor patients' physical activity and physiological parameters. These data are connected to
 a decision support system, providing medical advice to patients concerning physical exercise,
 nutrition, medication intake, clinical measurements, environment management, and mental
 support. The decision support system is based on predictive models, clinical care guidelines
 and expert knowledge. The advice will be personalized according to each individual patient's
 medical and psychological profile, and will be presented to the patient through the user
 interface of a mobile application on a smartphone. A proof of concept trial with a 1:2
 (control:intervention) randomization protocol was designed. The sample size calculation was
 based on primary outcome data from the previous CHIRON project, showing that 90 patients are
 needed to show at least -5.8 (± 6 to 8 s.d.) beats/min difference in average daily awake
 heart rate difference - as a fundamental parameter correlating with patient reported HRQoL -
 with 90% power between the two groups. Data collection will include an estimation of exercise
 capacity based on a six-minute walking test, and questionnaire assessments using standardized
 instruments. The trial will be initiated in two countries. In order to account for possible
 dropouts, 60 patients will be enrolled in Italy and 60 in Belgium (20 control and 40
 intervention patients in each country). Target patients are stable ambulatory CHF patients
 (NYHA class 2-3; reduced left ventricular ejection fraction ≤40%). Eligible patients will be
 recruited by their treating physician from collaborating medical centers in both countries;
 they will be enrolled in the trial after giving informed consent for participation. After
 baseline assessment, patients will be randomized into either the intervention (duration of 6
 months) or control (usual care) condition. Data collection will be repeated at the end of the
 trial.
Background:

 1-2% of people in the developed world suffer from heart failure (HF), which costs the society
 around 100 billion USD per year. Although the improvements in treatment have lately decreased
 the number of hospitalizations and deaths due to HF, the burden still remains high with
 around half of the HF patients being expected to die within five years and HF being the most
 frequent cause of hospitalization in people aged over 65.

 Since there is no cure available at present, a better management of HF is crucial. A proper
 disease management may not only relieve symptoms, prevent hospitalization or improve
 survival, but may also affect the patient's health-related quality of life (HRQoL). The
 European Society of Cardiology (ESC) Task Force produced evidence-based guidelines for the
 diagnosis and management of HF, intended to be used by clinical practitioners. Despite the
 availability of these guidelines, registry data consistently show an insufficient uptake in
 clinical practice. Of particular concern is the poor implementation of exercise guidelines,
 even though regular physical activity and structured exercise in CHF patients are strongly
 recommended. Nonetheless, participation rates of CHF patients in cardiac rehabilitation are
 generally below 20% in Europe. This calls for more specific recommendations on how to give
 lifestyle advice to patients in a personalized fashion.

 A promising technology for improving disease management in HF may be mobile health (mHealth),
 which encompasses the use of mobile devices as a support for the practice of medicine.
 mHealth has already been implemented to provide regular follow-up and physiological
 monitoring, to ensure safety and detect complications in order to prevent subsequent health
 care utilization. In addition, it may also be a tool to deliver education and to support
 patients regarding self-monitoring and self-management. However, evidence on the
 effectiveness of this approach in HF patients has been mixed. Several meta-analyses suggest
 clinical benefits, but large clinical trials did not show any effect on readmission or death.
 Nevertheless, the recent BEAT-HF trial found that remote patient management did not reduce
 rehospitalization or mortality but reported instead an improvement in quality of life.

 Patient-reported outcomes (PROs), such as HRQoL or perceived health status, have increasingly
 been recognized as outcomes of interest in HF and coronary patients in general. PROs are not
 surrogates for harder endpoints such as mortality, but rather represent independent outcomes
 with harder endpoints not necessarily reflecting of how a disease and its symptoms are
 experienced by the patient. Furthermore, HRQoL and health status have been shown to be
 predictive of clinical events in patients with HF. These findings show that patients'
 perceptions of worsening symptoms carry vital prognostic information, and should be
 implemented in trials evaluating disease management.

 An aspect that has been largely ignored in these types of trials concerning mHealth
 technology, is the psychological aspect that is necessary to start changing behavior and to
 cope with the symptoms of HF. Psychological interventions such as cognitive behavioral
 therapy and mindfulness exercises have already been shown to be successful in changing
 behavior and to significantly reduce anxiety, depression and symptoms which are common in HF
 patients. Therefore, implementing psychological interventions into mHealth technology may
 offer an added value to this tool.

 The HeartMan project aims to develop a personal health system to help HF patients managing
 their disease with the ultimate goal to improve HRQoL. In this system, HF patients are
 monitored not only focusing on their physical condition but also on the patient's
 psychological state. This information is integrated into a decision support system, using
 this information to both compute prognostic information based on predictive models, clinical
 care guidelines and expert knowledge and also to suggest the most appropriate intervention to
 modify and manage their lifestyle. Furthermore, these interventions are presented in a way
 adapted to the patient's psychological profile in order to increase the adherence to the
 medical device.

 Study design:

 HeartMan is a proof-of-concept randomized controlled 1:2 trial (RCT), being conducted at four
 hospitals in two countries (Belgium and Italy) to compare usual care in HF patients with the
 addition of a personal mHealth system on top of standard care. Sixty patients are enrolled in
 Italy and 60 in Belgium for a participation during six months, resulting in 40 patients in
 total in the control group and 80 in the intervention group.

 Ethical approval:

 This study has been approved by the ethical committees of the participating hospitals in both
 countries, with the ethical committee of the University Hospital in Ghent and Rieti General
 Hospital as the central ethical committees. Written informed consent is obtained from all
 participants prior to enrollment in the study. In addition, the HeartMan device which is used
 during the trial has been approved by the Federal Agency for Medicine and Health products in
 Belgium (FAGG: Federaal Agentschap voor Geneesmiddelen en Gezondheidsproducten) and Italy
 (AIFA: Agenzia Italiana del Farmaco).

 Sample size calculation:

 The sample size calculation was based on primary outcome data from the previous CHIRON
 project (Mlakar et al., 2018) showing that 90 patients are needed to show at least 5.8 beats
 per min in average daily awake heart rate difference - as a fundamental parameter correlating
 with patient-reported HRQoL - with 90% power between the two groups. Thus in order to account
 for possible dropouts, the trial is executed enrolling 60 patients in each of the two
 participating countries based on a 1:2 randomization protocol.

 Statistical analysis:

 The main analysis of the primary and secondary endpoints is based on the Intention To Treat
 principle, i.e. including all patients in the analysis who did not drop out within the first
 4 weeks of the trial since these patients are replaced. In order to assess the clinical
 effect of the HeartMan intervention on the different outcomes (except for mortality and
 hospitalization), an additional per-protocol analysis is performed in patients who adhere to
 the treatment plan for at least 50%. Based on these results, a dose-response analysis is
 conducted to verify the relation between the level of adherence and intervention effects.

 Prior to each analysis, distribution of the variables is checked in order to choose the
 correct statistical test and outliers are identified. In all analyses, p values <0.05 are
 considered to be statistically significant.

 Effects of the proof-of-concept trial are assessed by analyzing baseline and end of
 investigation data between and among treatment groups. The primary endpoint of the HeartMan
 project is the self-reported improvement in HRQoL which is analyzed using T-tests or it's non
 parametric variant and chi square tests to compare the characteristics between the groups. If
 necessary, a multiple linear regression approach is chosen to adjust for confounding
 variables. In order to assess the effect of the intervention among the different groups a
 repeated measures design with time*group interaction effect is chosen. A similar statistical
 approach is also performed for the secondary analyses. Secondary objectives within the
 HeartMan intervention are the effects on behavioral outcomes, illness perception and clinical
 outcomes which may ultimately have an impact on disease management and HRQoL.

 An objective parallel to the effect on HRQoL, is the impact of the HeartMan system on a
 combined endpoint of mortality and hospitalization. This objective is assessed by making a
 comparison of patient characteristics and the use of the HeartMan intervention between
 event-free patients and those who had an event during the 6 months trial. Furthermore, a
 Kaplan Meier analysis is performed to investigate event-free survival.

 A great effort is made to have complete data on outcome measures and to use all obtained
 information. Early drop-out within 4 weeks after starting the intervention is treated as
 actual drop-out and replacement by novel candidates is foreseen. During the trial, the level
 of adherence is assessed and in case a low adherence is noticed (<50%), patients are actively
 contacted by a member of the research team in order to avoid drop-out.

 For those who eventually drop out in a later phase, efforts will be made to perform the end
 of study examination and if this is not feasible, these will be considered as missing data.
 In the case of missing data, some of the outcome measures (e.g. heart rate or blood pressure)
 can be retrieved through data from the HeartMan system, using the Last Observation Carried
 Forward (LOCF) principle.
Inclusion Criteria:

 -  Willing and able to make use of a smartphone and to give informed consent for
 participation to the study

 -  Ischemic or non-ischemic heart failure disease

 -  Functional New York Heart Association (NYHA) class 2-3

 -  Reduced left ventricular ejection fraction ≤40%

 -  Ambulatory heart failure patients in stable condition: at least one hospitalization
 due to their heart failure once, but no hospitalization during the month before start
 of the trial and no planned surgery

 -  Good cognitive function, if cognitive impairment is suspected the patient will be
 evaluated by using the Mini Mental State Examination (MMSE)

 -  Sufficient knowledge of the native language (Dutch in Belgium, Italian in Italy)

 Exclusion Criteria:

 -  Heart failure patients who fulfill the above mentioned criteria, but suffer from a
 concomitant end-stage chronic kidney disease necessitating haemodialysis

 -  Heart failure patients who fulfill the above mentioned criteria, but are already
 participating in a disease management program, influencing the HeartMan intervention