Digital health in older adults for the prevention and management of cardiovascular diseases and frailty. A clinical consensus statement from the ESC Council for Cardiology Practice/Taskforce on Geriatric Cardiology, the ESC Digital Health Committee and the ESC Working Group on e-Cardiology

Multimodal Machine Learning for Prediction of 30-Day Readmission Risk in Elderly Population

BACKGROUND

Readmission within 30 days is a prevalent issue among elderly patients, linked to unfavorable health outcomes. Our objective was to develop and validate multimodal machine learning models for predicting 30-day readmission risk in elderly patients discharged from internal medicine departments.

METHODS

This was a retrospective cohort study which included elderly patients aged 75 or older, who were hospitalized at the Hadassah Medical Center internal medicine departments between 2014 and 2020. Three machine learning algorithms were developed and employed to predict 30-day readmission risk. The primary measures were predictive model performance scores, specifically area under the receiver operator curve (AUROC), and average precision.

RESULTS

This study included 19,569 admissions. Of them, 3258 (16.65%) resulted in 30-day readmission. Our 3 proposed models demonstrated high accuracy and precision on an unseen test set, with AUROC values of 0.87, 0.89, and 0.93, respectively, and average precision values of 0.76, 0.78, and 0.81. Feature importance analysis revealed that the number of admissions in the past year, history of 30-day readmission, Charlson score, and admission length were the most influential variables. Notably, the natural language processing score, representing the probability of readmission according to a textual-based model trained on social workers' assessment letters during hospitalization, ranked among the top 10 contributing factors.

CONCLUSIONS

Leveraging multimodal machine learning offers a promising strategy for identifying elderly patients who are at high risk for 30-day readmission. By identifying these patients, machine learning models may facilitate the effective execution of preventive actions to reduce avoidable readmission incidents.

Digital Solutions to Optimize Guideline-Directed Medical Therapy Prescriptions in Heart Failure Patients: Current Applications and Future Directions

PURPOSEOF REVIEW

Guideline-directed medical therapy (GDMT) underuse is common in heart failure (HF) patients. Digital solutions have the potential to support medical professionals to optimize GDMT prescriptions in a growing HF population. We aimed to review current literature on the effectiveness of digital solutions on optimization of GDMT prescriptions in patients with HF.

RECENT FINDINGS

We report on the efficacy, characteristics of the study, and population of published digital solutions for GDMT optimization. The following digital solutions are discussed: teleconsultation, telemonitoring, cardiac implantable electronic devices, clinical decision support embedded within electronic health records, and multifaceted interventions. Effect of digital solutions is reported in dedicated studies, retrospective studies, or larger studies with another focus that also commented on GDMT use. Overall, we see more studies on digital solutions that report a significant increase in GDMT use. However, there is a large heterogeneity in study design, outcomes used, and populations studied, which hampers comparison of the different digital solutions. Barriers, facilitators, study designs, and future directions are discussed. There remains a need for well-designed evaluation studies to determine safety and effectiveness of digital solutions for GDMT optimization in patients with HF. Based on this review, measuring and controlling vital signs in telemedicine studies should be encouraged, professionals should be actively alerted about suboptimal GDMT, the researchers should consider employing multifaceted digital solutions to optimize effectiveness, and use study designs that fit the unique sociotechnical aspects of digital solutions. Future directions are expected to include artificial intelligence solutions to handle larger datasets and relieve medical professional's workload.

Treatment patterns and trajectories in patients after acute heart failure hospitalization

AIMS

The trajectories of systolic function after admission for acute heart failure (HF) and their effect on clinical outcomes have not been fully elucidated. We aimed to assess changes in left ventricular ejection fraction (LVEF) between the index and 1 year after discharge and to examine their prognostic implications.

METHODS AND RESULTS

We extracted data from a prospective multicentre registry of patients hospitalized for acute HF and identified 1636 patients with LVEF data at admission and 1 year after discharge. We categorized them into five groups based on LVEF changes: HF with unchanged-preserved EF [HFunc-pEF (EF ≥ 50%); N = 527, 32.2%], unchanged-mildly reduced EF [HFunc-mrEF (EF 41-49%); N = 86, 5.3%], unchanged-reduced EF [HFunc-rEF (EF ≤ 40%); N = 377, 23.0%], worsened EF (HFworEF; N = 83, 5.1%), and improved EF (HFimpEF; N = 563, 34.4%). We then evaluated the subsequent composite outcome of cardiovascular death and HF readmission. During 1 year after discharge, 53% of patients with HF with reduced EF and 67% of those with HF with mildly reduced EF (HFmrEF) transitioned to other categories, whereas 92% of those with HF with preserved EF (HFpEF) remained within the same category. Patients with HFimpEF were more likely to be younger and had relatively preserved renal function, whereas those with HFworEF were the oldest and had more comorbidities among the five groups. After multivariable adjustment, patients with HFimpEF and HFunc-pEF had a lower risk for composite outcomes when referenced to patients with HFunc-rEF [hazard ratio (95% confidence interval), P-value: 0.28 (0.16-0.49), P < 0.001, and 0.40 (0.25-0.63), P < 0.001, respectively]. Conversely, patients with HFunc-mrEF and HFworEF had a comparable risk [0.44 (0.18-1.07), P = 0.07, and 0.63 (0.29-1.39), P = 0.26, respectively].

CONCLUSIONS

A substantial number of patients with HF experienced transitions to other categories after discharge. Notably, patients with decreased EF experienced a worse prognosis, even with slight decreases (e.g. HFpEF transitioning to HFmrEF). These findings emphasize the significance of longitudinal assessments of systolic function to better manage patients following acute decompensation.

Prevalence, factors and early outcomes of frailty among hospitalized older patients with valvular heart disease: A prospective observational cohort study

AIM

The aim was to investigate the prevalence of, and factors related to frailty, together with early clinical outcomes, in hospitalized older patients with valvular heart disease (VHD) in China.

DESIGN

A prospective observational cohort study was conducted.

METHODS

A validated prospective survey was conducted to assess the prevalence of frailty, factors associated with it, and early clinical outcomes in hospitalized older patients with VHD, utilizing Fried's criterion. A total of 207 consecutive participants aged 65 years and older who underwent cardiac surgery were included in the study, spanning from September 2021 to December 2021.

RESULTS

Frailty was detected in 78 patients (37.7%). Patients with multimorbidity, a New York Heart Association (NYHA) class of III/IV, or masticatory dysfunction had a greater incidence of frailty (p < 0.05). Patients with a normal albumin level and a higher frequency of exercise had a lower incidence of frailty (p < 0.05). Patients with frailty had longer hospital and intensive care unit stays and greater hospitalization costs than did those without frailty (p < 0.05). The 30-day adverse event rate of the frail group was also greater (11.5% vs. 3.1%). Therefore, early screening for conditions such as multimorbidity, cardiac dysfunction, and hypoalbuminemia is urgently needed to effectively address frailty, as it has been linked to unfavourable early outcomes. Moreover, promoting exercise and improving masticatory function and nutrition are crucial for preventing and managing frailty in older patients with VHD.

Digital consults to optimize guideline-directed therapy: design of a pragmatic multicenter randomized controlled trial

AIMS

Many heart failure (HF) patients do not receive optimal guideline-directed medical therapy (GDMT) despite clear benefit on morbidity and mortality outcomes. Digital consults (DCs) have the potential to improve efficiency on GDMT optimization to serve the growing HF population. The investigator-initiated ADMINISTER trial was designed as a pragmatic multicenter randomized controlled open-label trial to evaluate efficacy and safety of DC in patients on HF treatment.

METHODS AND RESULTS

Patients (n = 150) diagnosed with HF with a reduced ejection fraction will be randomized to DC or standard care (1:1). The intervention group receives multifaceted DCs including (i) digital data sharing (e.g. exchange of pharmacotherapy use and home-measured vital signs), (ii) patient education via an e-learning, and (iii) digital guideline recommendations to treating clinicians. The consults are performed remotely unless there is an indication to perform the consult physically. The primary outcome is the GDMT prescription rate score, and secondary outcomes include time till full GDMT optimization, patient and clinician satisfaction, time spent on healthcare, and Kansas City Cardiomyopathy Questionnaire. Results will be reported in accordance to the CONSORT statement.

CONCLUSIONS

The ADMINISTER trial will offer the first randomized controlled data on GDMT prescription rates, time till full GDMT optimization, time spent on healthcare, quality of life, and patient and clinician satisfaction of the multifaceted patient- and clinician-targeted DC for GDMT optimization.

Digital Health Interventions for Heart Failure Management in Underserved Rural Areas of the United States: A Systematic Review of Randomized Trials

BACKGROUND

Heart failure disproportionately affects individuals residing in rural areas, leading to worse health outcomes. Digital health interventions have been proposed as a promising approach for improving heart failure management. This systematic review aims to identify randomized trials of digital health interventions for individuals living in underserved rural areas with heart failure.

METHODS AND RESULTS

We conducted a systematic review by searching 6 databases (CINAHL, EMBASE, MEDLINE, Web of Science, Scopus, and PubMed; 2000-2023). A total of 30 426 articles were identified and screened. Inclusion criteria consisted of digital health randomized trials that were conducted in underserved rural areas of the United States based on the US Census Bureau's classification. Two independent reviewers screened the studies using the National Heart, Lung, and Blood Institute tool to evaluate the risk of bias. The review included 5 trials from 6 US states, involving 870 participants (42.9% female). Each of the 5 studies employed telemedicine, 2 studies used remote monitoring, and 1 study used mobile health technology. The studies reported improvement in self-care behaviors in 4 trials, increased knowledge in 2, and decreased cardiovascular mortality in 1 study. However, 3 trials revealed no change or an increase in health care resource use, 2 showed no change in cardiac biomarkers, and 2 demonstrated an increase in anxiety.

CONCLUSIONS

The results suggest that digital health interventions have the potential to enhance self-care and knowledge of patients with heart failure living in underserved rural areas. However, further research is necessary to evaluate their impact on clinical outcomes, biomarkers, and health care resource use.

REGISTRATION

URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42022366923.

Mobile applications to prescribe physical exercise in frail older adults: review of the available tools in app stores

INTRODUCTION

Different remote interventions, such as applications (apps), have been used to continue promoting healthy ageing and preventing disability during the COVID-19 pandemic. The growing trend of apps in health is exponential and may facilitate scaling up physical activity prescription. Numerous tools are available, but little is known regarding their appropriateness, validation and recommendation, especially for frail older adults.

METHODS

In-house, we developed an application that makes both the Apple app Store and the Google Play Store searchable using topic-related keywords and facilitates the extraction of basic app-information of the search results. The study was aimed at apps available to an English-speaking market. The resulting apps were filtered using various inclusion and exclusion criteria. The resultant apps underwent a more in-depth characterisation and searches for scientific publications on each app website and PubMed.

RESULTS

From an initial search result of >2,800 apps, 459 met the initial inclusion criteria. After a more in-depth review of their features, 39 apps remained for possible app in older frail patients. After testing them, 22 apps were excluded. Seventeen apps fit the inclusion and exclusion criteria and were deemed appropriate after peer review. Of these, only one app, Vivifrail, had any type of publication/published evidence.

CONCLUSION

Apps can be valuable tool in prescribing exercise for frail older adults living in the community. However, few apps seem useful on a large scale, and there is limited evidence to support their effectiveness. It is important to invest in adapting Information and Communication Technologies to this population group.

Older adults in the digital health era: insights on the digital health related knowledge, habits and attitudes of the 65 year and older population

BACKGROUND

The COVID-19 pandemic has increased internet use by older age groups to an unprecedented level in Hungary mirroring the general tendency in the total population. Nevertheless, international trends indicate that this group is less likely to use digital health technologies than younger ones. The aging population raises the question of successfully integrating elderly people into the digital health ecosystem. Our research aim is to investigate the digital health usage patterns and attitudes of the population aged 65 and over through a representative sample.

METHODS

A national representative questionnaire survey was conducted by telephone (CATI), interviewing 1723 respondents. Within this sample we examined 428 people in the over-65 age group, 246 in the 65-74 age group and 182 in the over-75 age group. Predictors of demand for digital solutions were tested using binary logistic regression model.

RESULTS

50.8% of people aged 65-74 and 37.1. % of people aged 75 + use the internet for health-related purposes, mostly to access websites. 85% of respondents in 65-74 and 74% in 75 + age group have used more than one digital health device and around 70% of both age groups have a need for more than one digital solution. 90.2% (64-75 age group) and 85.7% (75 + age group) of respondents are familiar with e-prescription, 86.4% and 81.4% of them use it. 77.1% of 65-74-year-olds have heard of and nearly half 45.5% have used online appointment. More than half (52.7%) of the respondents in this age group have heard of and used electronic transmission of medical records and data. A similar proportion has heard about and used apps: 54.3% has heard of them, but only 17.3% has used them. The multivariate analyses emphasized that the need for digital solutions increases with the level of education and the more benefits one perceives in using digital solutions.

CONCLUSION

Our research has shown that the senior age group has measurable needs in the field of digital health, so helping them on this journey is in the interest of the whole health ecosystem. Their high level of interest is indicated by the fact that more than a fifth of older adults would like to have access to between 7 and 10 of the maximum number of digital devices available. The differences between the two age groups - with younger people being more open to digital solutions and using them more - and the fact that the under 65s are better adapted digitally in all respects, raises the possibility that the specific trends in digital health for older people may virtually disappear in 10 years' time (when the under 65s now enter this age group).

The use of digital health in heart rhythm care

INTRODUCTION

Digital health is a broad term that includes telecommunication technologies to collect, share and manipulate health information to improve patient health and health care services. With the growing use of wearables, artificial intelligence, machine learning, and other novel technologies, digital health is particularly relevant to the field of cardiac arrhythmias, with roles pertinent to education, prevention, diagnosis, management, prognosis, and surveillance.

AREAS COVERED

This review summarizes information on the clinical use of digital health technology in arrhythmia care and discusses its opportunities and challenges.

EXPERT OPINION

Digital health has begun to play an essential role in arrhythmia care regarding diagnostics, long-term monitoring, patient education and shared decision making, management, medication adherence, and research. Despite remarkable advances, integrating digital health technologies into healthcare faces challenges, including patient usability, privacy, system interoperability, physician liability, analysis and incorporation of the huge amount of real-time information from wearables, and reimbursement. Successful implementation of digital health technologies requires clear objectives and deep changes to existing workflows and responsibilities.

Integrated health system to assess and manage frailty in community dwelling: Co-design and usability evaluation

Objective

We aimed to co-create and evaluate an integrated system to follow-up frailty in a community dwelling environment and provide a multi-modal tailored intervention. Frailty and dependency among the older population are a major challenge to the sustainability of healthcare systems. Special attention must be paid to the needs and particularities of frail older persons as a vulnerable group.

Methods

To ensure the solution fits all the stakeholders' needs, we performed several participatory design activities with them, such as pluralistic usability walkthroughs, design workshops, usability tests and a pre-pilot. The participants in the activities were older people; their informal carers; and specialized and community care professionals. In total, 48 stakeholders participated.

Results

We created and evaluated an integrated system consisting of four mobile applications and a cloud server, which has been evaluated through a 6-months clinical trial, where secondary endpoints were both usability and user experience evaluation. In total, 10 older adults and 12 healthcare professionals participated in the intervention group using the technological system. Both patients and professionals have positively evaluated their applications.

Conclusion

Both older adults and healthcare professionals have considered the resulted system easy to use and learn, consistent and secure. In general terms, they also would like to keep using it in the future.

DIGItal Health Literacy after COVID-19 Outbreak among Frail and Non-Frail Cardiology Patients: The DIGI-COVID Study

BACKGROUND

Telemedicine requires either the use of digital tools or a minimum technological knowledge of the patients. Digital health literacy may influence the use of telemedicine in most patients, particularly those with frailty. We aimed to explore the association between frailty, the use of digital tools, and patients' digital health literacy.

METHODS

We prospectively enrolled patients referred to arrhythmia outpatient clinics of our cardiology department from March to September 2022. Patients were divided according to frailty status as defined by the Edmonton Frail Scale (EFS) into robust, pre-frail, and frail. The degree of digital health literacy was assessed through the Digital Health Literacy Instrument (DHLI), which explores seven digital skill categories measured by 21 self-report questions.

RESULTS

A total of 300 patients were enrolled (36.3% females, median age 75 (66-84)) and stratified according to frailty status as robust (EFS ≤ 5; 70.7%), pre-frail (EFS 6-7; 15.7%), and frail (EFS ≥ 8; 13.7%). Frail and pre-frail patients used digital tools less frequently and accessed the Internet less frequently compared to robust patients. In the logistic regression analysis, frail patients were significantly associated with the non-use of the Internet (adjusted odds ratio 2.58, 95% CI 1.92-5.61) compared to robust and pre-frail patients. Digital health literacy decreased as the level of frailty increased in all the digital domains examined.

CONCLUSIONS

Frail patients are characterized by lower use of digital tools compared to robust patients, even though these patients would benefit the most from telemedicine. Digital skills were strongly influenced by frailty.

Management of Hypertension in the Elderly and Frail Patient

Hypertension is a frequent finding in elderly patients. Hypertension in older age can be both associated with frailty and represent a risk factor for frailty. Hypertension is recognized as a main risk factor for cardiovascular diseases such as heart failure, atrial fibrillation, and stroke and the occurrence of these diseases may provoke a decline in health status and/or worsen the degree of frailty. Blood pressure targets in hypertensive older and frail patients are not completely defined. However, specific evaluations of individual patients and their co-morbidities and assessment of domains and components of frailty, together with weighted consideration of drug use, may help in finding the appropriate therapy.