Heart failure patients with atrial fibrillation benefit from remote patient management: insights from the TIM-HF2 trial

The rise of Telecardiology in developing countries

Telecardiology, the remote diagnosis and treatment of cardiac conditions, is experiencing a significant increase in developing nations. This article explores the driving forces behind this trend and its implications. Limited access to healthcare facilities, especially in rural, isolated, and underdeveloped regions, has propelled the adoption of telecardiology as a cost-effective solution to bridge the gap in cardiac care provision. Technological advancements, such as portable diagnostic devices and improvements in telecommunication infrastructure, have facilitated the expansion of telecardiology services. Moreover, the COVID-19 pandemic has accelerated the acceptance and deployment of telehealth solutions worldwide. Nevertheless, challenges persist, including regulatory hurdles, data privacy concerns, and disparities in digital literacy. Despite these obstacles, the rise of telecardiology in developing countries presents a promising opportunity to enhance access to cardiac care and improve health outcomes among underserved populations.

Atrial fibrillation: epidemiology, screening and digital health

Atrial fibrillation (AF) is highly prevalent with a lifetime risk of about 1 in 3-5 individuals after the age of 45 years. Between 2010 and 2019, the global prevalence of AF has risen markedly from 33.5 million to 59 million individuals living with AF. Early detection of AF and implementation of appropriate treatment could reduce the frequency of complications associated with AF. International AF management guidelines recommend opportunistic and systematic screening for AF, but additional data are needed. Digital approaches and pathways have been proposed for early detection and for the transition to early AF management. Mobile health (mHealth) devices provide an opportunity for digital screening and should be part of novel models of care delivery based on integrated AF care pathways. For a broad implementation of mHealth-based, integrated care for patients with chronic diseases as AF, further high quality evidence is necessary. In this review, we present an overview of the present data on epidemiology, screening techniques, and the contribution of digital health solutions to the integrated management of AF. We also provide a systemic review on current data of digital and integrated AF management.

Virtual healthcare solutions in heart failure: a literature review

The widespread adoption of mobile technologies offers an opportunity for a new approach to post-discharge care for patients with heart failure (HF). By enabling non-invasive remote monitoring and two-way, real-time communication between the clinic and home-based patients, as well as a host of other capabilities, mobile technologies have a potential to significantly improve remote patient care. This literature review summarizes clinical evidence related to virtual healthcare (VHC), defined as a care team + connected devices + a digital solution in post-release care of patients with HF. Searches were conducted on Embase (06/12/2020). A total of 171 studies were included for data extraction and evidence synthesis: 96 studies related to VHC efficacy, and 75 studies related to AI in HF. In addition, 15 publications were included from the search on studies scaling up VHC solutions in HF within the real-world setting. The most successful VHC interventions, as measured by the number of reported significant results, were those targeting reduction in rehospitalization rates. In terms of relative success rate, the two most effective interventions targeted patient self-care and all-cause hospital visits in their primary endpoint. Among the three categories of VHC identified in this review (telemonitoring, remote patient management, and patient self-empowerment) the integrated approach in remote patient management solutions performs the best in decreasing HF patients' re-admission rates and overall hospital visits. Given the increased amount of data generated by VHC technologies, artificial intelligence (AI) is being investigated as a tool to aid decision making in the context of primary diagnostics, identifying disease phenotypes, and predicting treatment outcomes. Currently, most AI algorithms are developed using data gathered in clinic and only a few studies deploy AI in the context of VHC. Most successes have been reported in predicting HF outcomes. Since the field of VHC in HF is relatively new and still in flux, this is not a typical systematic review capturing all published studies within this domain. Although the standard methodology for this type of reviews was followed, the nature of this review is qualitative. The main objective was to summarize the most promising results and identify potential research directions.

Remote patient management of heart failure across the ejection fraction spectrum: A pre-specified analysis of the TIM-HF2 trial

AIMS

The benefit of non-invasive remote patient management (RPM) for patients with heart failure (HF) has been demonstrated. We evaluated the effect of left ventricular ejection fraction (LVEF) on treatment outcomes in the TIM-HF2 (Telemedical Interventional Management in Heart Failure II; NCT01878630) randomized trial.

METHODS AND RESULTS

TIM-HF2 was a prospective, randomized, multicentre trial investigating the effect of a structured RPM intervention versus usual care in patients who had been hospitalized for HF within 12 months before randomization. The primary endpoint was the percentage of days lost due to all-cause death or unplanned cardiovascular hospitalization. Key secondary endpoints were all-cause and cardiovascular mortality. Outcomes were assessed by LVEF in guideline-defined subgroups of ≤40% (HF with reduced EF [HFrEF]), 41-49% (HF with mildly reduced EF [HFmrEF]), and ≥50% (HF with preserved EF [HFpEF]). Out of 1538 participants, 818 (53%) had HFrEF, 224 (15%) had HFmrEF, and 496 (32%) had HFpEF. Within each LVEF subgroup, the primary endpoint was lower in the treatment group, i.e. the incidence rate ratio [IRR] remained below 1.0. Comparing intervention and control group, the percentage of days lost was 5.4% versus 7.6% for HFrEF (IRR 0.72, 95% confidence interval [CI] 0.54-0.97), 3.3% versus 5.9% for HFmrEF (IRR 0.85, 95% CI 0.48-1.50) and 4.7% versus 5.4% for HFpEF (IRR 0.93, 95% CI 0.64-1.36). No interaction between LVEF and the randomized group became apparent. All-cause and cardiovascular mortality were also reduced by RPM in each subgroup with hazard ratios <1.0 across the LVEF spectrum for both endpoints.

CONCLUSION

In the clinical set-up deployed in the TIM-HF2 trial, RPM appeared effective irrespective of the LVEF-based HF phenotype.

Assessment of atrial fibrillation in European emergency departments: insights from a prospective observational multicenter study

BACKGROUND

The diagnosis and management of atrial fibrillation (AF) in emergency departments (EDs) have not been well described in France, with limited EU research. This study aimed to describe the diagnosis, management, and prognosis of AF patients in French EDs.

METHODS

A prospective, observational 2-month study in adults diagnosed with AF was conducted at 32 French EDs. Data regarding patient characteristics, diagnosis, and treatment at EDs were collected, with 12-month follow-up.

RESULTS

The study included a total of 1369 patients diagnosed with AF at an ED: 279 patients (20.4%) with idiopathic AF (no identified cause of the AF) and 1090 (79.6%) with secondary AF (with a principal diagnosis identified as the cause of AF). Patients were aged 84 years (median) and 51.3% were female. Significantly more idiopathic AF patients than secondary AF patients underwent CHA<inf>2</inf>DS<inf>2</inf>-VASc assessment (67.8% vs. 52.1%,) or echocardiography (21.2% vs. 8.3%), or received an oral anticoagulant and/or antiarrhythmic (62.0% vs. 12.9%). Idiopathic AF patients also had significantly higher rates of discharge to home (36.4% vs. 20.4%) and 3-month cardiologist follow-up (67.0% vs. 41.1%). At 12 months, 96% of patients with follow-up achieved sinus rhythm. The estimated Kaplan-Meier 12-month mortality rate was significantly lower with idiopathic AF than secondary AF (11.9% vs. 34.5%).

CONCLUSIONS

Patients diagnosed with idiopathic or secondary AF at the ED presented heterogeneous characteristics and prognoses, with those with secondary AF having worse outcomes. Further studies are warranted to optimize patients' initial evaluation in EDs and provide appropriate follow-up.

The Role of Daily Implant-Based Multiparametric Telemonitoring in Patients with a Ventricular Assist Device

The telemonitoring of heart failure (HF) patients is becoming increasingly important. This study aimed to evaluate the benefit of telemonitoring in end-stage HF patients with a ventricular-assistance device (VAD). A total of 26 HF-patients (66 ± 11 years, 88% male) on VAD therapy with an implantable cardioverter-defibrillator (ICD) or a cardiac resynchronization defibrillator (CRT-D) including telemonitoring function were enrolled. The long-term follow-up data (4.10 ± 2.58 years) were assessed. All the patients (n = 26, 100%) received daily ICD/CRT-D telemonitoring. In most of the patients (73%, n = 19), the telemedical center had to take action for a mean of three times. An acute alert due to sustained ventricular arrhythmias (VAs) occurred in 12 patients (63%) with 50% of them (n = 6) requiring ICD shock delivery. Eight patients (67%) were hospitalized due to symptomatic VAs. In 11 patients (92%), immediate medication adjustments were recommended. Relevant lead issues were revealed in thirteen patients (50%), with six patients (46%) undergoing consecutive lead revisions. Most of the events (83%) were detected within 24 h. Daily telemonitoring significantly reduced the number of in-hospital device controls by 44% (p < 0.01). The telemonitoring ensured that cardiac arrhythmias and device/lead problems were identified early, allowing pre-emptive and prompt interventions. In addition, the telemonitoring significantly reduced the number of in-hospital device controls in this cohort of HF patients.

Remote Patient Management May Reduce All-Cause Mortality in Patients With Heart-Failure and Renal Impairment

Background

Remote patient management (RPM) in heart failure (HF) patients has been investigated in several prospective randomized trials. The Telemedical Interventional Management in Heart Failure II (TIM-HF2)-trial showed reduced all-cause mortality and hospitalizations in heart failure (HF) patients using remote patient management (RPM) vs. usual care (UC). We report the trial's results for prespecified eGFR-subgroups.

Methods

TIM-HF2 was a prospective, randomized, controlled, parallel-group, unmasked (with randomization concealment), multicenter trial. A total of 1,538 patients with stable HF were enrolled in Germany from 2013 to 2017 and randomized to RPM (+UC) or UC. Using CKD-EPI-formula at baseline, prespecified subgroups were defined. In RPM, patients transmitted their vital parameters daily. The telemedical center reviewed and co-operated with the patient's General Practitioner (GP) and cardiologist. In UC, patients were treated by their GPs or cardiologist applying the current guidelines for HF management and treatment. The primary endpoint was the percentage of days lost due to unplanned cardiovascular hospitalizations or death, secondary outcomes included hospitalizations, all-cause, and cardiovascular mortality.

Results

Our sub analysis showed no difference between RPM and UC in both eGFR-subgroups for the primary endpoint (&lt;60 ml/min/1.73 m2: 40.9% vs. 43.6%, p = 0.1, ≥60 ml/min/1.73 m2 26.5 vs. 29.3%, p = 0.36). In patients with eGFR &lt; 60 ml/min/1.73 m2, 1-year-survival was higher in RPM than UC (89.4 vs. 84.6%, p = 0.02) with an incident rate ratio (IRR) 0.67 (p = 0.03). In the recurrent event analysis, HF hospitalizations and all-cause death were lower in RPM than UC in both eGFR-subgroups (&lt;60 ml/min/1.73 m2: IRR 0.70, p = 0.02; ≥60 ml/min/1.73 m2: IRR 0.64, p = 0.04). In a cox regression analysis, age, NT-pro BNP, eGFR, and BMI were associated with all-cause mortality.

Conclusion

RPM may reduce all-cause mortality and HF hospitalizations in patients with HF and eGFR &lt; 60 ml/min/1.73 m2. HF hospitalizations and all-cause death were lower in RPM in both eGFR-subgroups in the recurrent event analysis. Further studies are needed to investigate and confirm this finding.

Early detection of atrial fibrillation in patients with heart failure reduces the risk of subsequent hospitalization: a subanalysis of the randomized TIM-HF2 trial

Aims

To evaluate the rate of new-onset atrial fibrillation (AF) and the potential improved outcome in heart failure (HF) patients using non-invasive remote patient management (RPM) compared with usual care (UC).

Methods and results

This analysis assessed a subgroup of 1538 patients of the TIM-HF2 trial with chronic HF, New York Heart Association Class II or III, admission to hospital for HF within 12 months before randomization, and a left ventricular ejection fraction (LVEF) of 45% or lower. Patients with AF in the baseline electrocardiogram (ECG), with an implanted cardiac device, a history of ablation therapy, and recent anticoagulation were excluded, leaving 347 patients for final analysis (RPM = 175; UC = 172). The percentage of days lost due to unplanned cardiovascular hospitalization or death of any cause (primary endpoint of TIM-HF2), the rate of newly detected AF, and the hospitalization rate due to AF were analysed. For patients with new AF, there was a significant reduction for the primary endpoint in the RPM group [5.5%, 95% confidence interval (CI) 0-11.6 vs. UC: 14.6%, 95% CI 8.0-21.2; P < 0.001]. Within the first 3 months, the detection rate of new AF was significantly higher in the RPM group (5.1%) compared with UC (1.2%), P = 0.035. After 1 year, 23 patients (13.1%) assigned to RPM and 12 patients (7.0%) assigned to UC had newly detected AF, P = 0.056. Unplanned hospitalizations related to AF were significantly lower in the RPM group (2 out of 23 patients vs. UC: 10 out of 12 patients; P < 0.001).

Conclusion

In this subgroup of HF patients in the TIM-HF2 trial, non-invasive daily ECG transmission leads to a four times higher detection rate of new AF compared with UC. This was associated with a significant reduction of days lost due to unplanned cardiovascular hospitalizations, especially hospitalizations related to AF.

Mobile health technology in atrial fibrillation

INTRODUCTION

Mobile health (mHealth) solutions in atrial fibrillation (AF) are becoming widespread, thanks to everyday life devices such as smartphones. Their use is validated both in monitoring and in screening scenarios. In the published literature, the diagnostic accuracy of mHealth solutions wide differs, and their current clinical use is not well established in principal guidelines.

AREAS COVERED

mHealth solutions have progressively built an AF-detection chain to guide patients from the device's alert signal to the health care practitioners' (HCPs) attention. This review aims to critically evaluate the latest evidence regarding mHealth devices and the future possible patient's uses in everyday life.

EXPERT OPINION

The patients are the first to be informed of the rhythm anomaly, leading to the urgency of increasing the patients' AF self-management. Furthermore, HCPs need to update themselves about mHealth devices use in clinical practice. Nevertheless, these are promising instruments in specific populations, such as post-stroke patients, to promote an early arrhythmia diagnosis in the post-ablation/cardioversion period, allowing checks on the efficacy of the treatment or intervention.

[Telemedicine in chronic heart failure-From clinical studies to standard care]

Telemedicine has the potential to solve many current and especially future challenges in medical care. Using the example of heart failure (HF), the transition of telemedicine from clinical studies to standard care is presented. In patients with chronic HF, randomized controlled trials have shown that telemedicine-based care leads to a reduction in mortality and cardiovascular morbidity. Based on these data, the Federal Joint Committee (G-BA) decided that for the first time a digital method should be introduced into standard care for high-risk patients with reduced left ventricular ejection fraction. In the future, this group of patients will be entitled to telemedical care using active rhythm devices or noninvasive measuring devices. The indications are assessed by the primary treating physician (PBA), who works together with a telemedicine center (TMZ) managed through cardiology that receives daily telemetric data and notifies the PBA of abnormal findings. Alternatively, a cardiologist PBA with an associated TMZ infrastructure can also provide telemedical care. In the future, advanced technologies such as artificial intelligence or mobile communication standard 5G will help to make telemedicine both widely available and usable for alternative sensor technology.

Telemedizin bei Herzinsuffizienz – Translation von klinischen Studien in die Regelversorgung

Für telemedizinische Mitbetreuung von Patient*innen mit chronischer Herzinsuffizienz besteht Evidenz bezüglich der Senkung von Letalität und kardiovaskulärer Morbidität. Nach aktuellem Beschluss des Gemeinsamen Bundesausschusses (G-BA) wird erstmals eine digitale Methode in die Regelversorgung überführt. Hochrisikopatient*innen mit reduzierter linksventrikulärer Ejektionsfraktion haben künftig einen Leistungsanspruch, entweder mittels aktiver Implantate (ICD, CRT-P und CRT-D) oder mittels telemedizinischer Heimmessgeräte betreut zu werden. Die Indikation zum Telemonitoring stellt der/die primär behandelnde Arzt/Ärztin (PBA). Der tägliche Vitaldatentransfer erfolgt an ein kardiologisch geführtes Telemedizinzentrum (TMZ), welches den/die PBA bei auffälligen Befunden zeitnah benachrichtigt. Der/die PBA entscheidet im Einzelfall über den Bedarf einer telemedizinischen 24/7-Mitbetreuung. Ein/e kardiologische/r PBA mit einer TMZ-Infrastruktur kann die telemedizinische Mitbetreuung der eigenen Patient*innen übernehmen.

Rationale and design of the AMULET study: A new Model of telemedical care in patients with heart failure

Aims

Heart failure (HF) is characterized by high mortality and hospital readmission rates. Limited access to cardiologists restricts the application of guideline‐directed, patient‐tailored medical therapy. Some telemedicine solutions and novel non‐invasive diagnostic tools may facilitate real‐time detection of early HF decompensation symptoms, prompt initiation of appropriate treatment, and optimal management of medical resources. We describe the rationale and design of the AMULET trial, which investigates the effect of comprehensive outpatient intervention, based on individualized haemodynamic assessment and teleconsultations, on cardiovascular mortality and unplanned hospitalizations in HF patients.

Methods and results

The AMULET trial is a multicentre, prospective, randomized, open‐label, and controlled parallel group trial (ClinicalTrials.gov Identifier: NCT03476590). Six hundred and five eligible patients with HF (left ventricular ejection fraction ≤49%, at least one hospitalization due to acute HF decompensation within 6 months prior to enrolment) were randomly assigned in a 1:1 ratio to either an intervention group or a standard care group. The planned follow‐up is 12 months. The AMULET interventions are performed in ambulatory care points operated by nurses, with the remote support of cardiologists. The comprehensive clinical evaluation comprises measurements of heart rate, blood pressure, body mass, thoracic fluid content, and total body water. A recommendation support module based on these objective parameters is implemented in remote therapeutic decision‐making. The primary complex endpoints are cardiovascular mortality and unplanned HF hospitalization.

Conclusions

The AMULET trial will provide a prospective assessment of the effect of comprehensive ambulatory intervention, based on telemedicine and haemodynamically guided therapy, on mortality and readmissions in HF patients.

Heart failure patients with atrial fibrillation benefit from remote patient management: insights from the TIM-HF2 trial

Aims

Atrial fibrillation (AF) is a frequent comorbidity in patients with heart failure (HF). HF patients with AF are characterized by high morbidity and increased risk of hospitalizations. We assessed the effects of remote patient management (RPM) in HF patients with AF compared with usual care (UC) in the TIM‐HF2 trial.

Methods and results

For this post‐hoc analysis, AF status at randomization was assessed in 1537 patients with HF. The primary outcome was the percentage of days lost due to unplanned cardiovascular hospital admissions or death of any cause.

Around 966 patients had sinus rhythm (SR) and 571 had AF. The analysis showed a significant interaction between heart rhythm and all‐cause mortality (P for interaction = 0.001). AF patients had more days lost due to unplanned cardiovascular hospitalization than SR patients (7.53%, CI 6.01–9.05 vs. 4.90%, CI 3.98–5.82, ratio 1.54, P = 0.004) and higher all‐cause mortality (11.9%, CI 9.4–14.9 vs. 8.5%, CI 6.8–10.4, HR 0.66, CI 0.47–0.94, P = 0.029). Patients with AF randomized to RPM had significantly less days lost due to unplanned cardiovascular hospital admissions or all‐cause death (5.64%, CI 3.81–7.48) than patients with AF randomized to UC (9.37%, CI 6.98–11.76, ratio 0.60, P = 0.015). No difference was seen in SR patients (UC: 5.25%, CI 3.93–6.58, RPM: 4.55%, CI 3.27–5.83, ratio 0.87, P = 0.452). All‐cause mortality in AF patients was reduced with 9.2% (CI 6.1–13.2) in the RPM group compared with 14.5% (CI 10.7–18.1) in the UC group (HR 0.60, CI 0.36–1.00, P = 0.050).

Conclusions

For patients with atrial fibrillation at study entry, RPM was associated with increased days alive out of hospital. Our results identify HF patients with atrial fibrillation as a promising target population for RPM.