The Health Diary Telemonitoring and Hospital-Based Home Care Improve Quality of Life Among Elderly Multimorbid COPD and Chronic Heart Failure Subjects

Applying the Rome Proposal on Exacerbations of Chronic Obstructive Pulmonary Disease: Does Comorbid Chronic Heart Failure Matter?

Background

Chronic heart failure (CHF) is a common comorbidity among patients with chronic obstructive pulmonary disease (COPD). Both exacerbations of COPD (ECOPDs) and exacerbations of CHF (ECHFs) display worsening of breathlessness at rest (BaR) and breathlessness at physical activity (BaPA). Comorbid CHF may have an impact on the vital signs assessed, when the Rome proposal (adopted by GOLD 2023) is applied on ECOPDs. Thus, the aim of the present study was to investigate the impact of comorbid CHF on ECOPDs severity, particularly focusing on the influence of comorbid CHF on BaR and BaPA.

Methods

We analysed data on COPD symptoms collected from the telehealth study The eHealth Diary. Patients with COPD (n = 43) and patients with CHF (n = 41) were asked to daily monitor BaR and BaPA, employing a digital pen and scales for BaR and BaPA (from 0 to 10). Twenty-eight patients of the COPD patients presented with comorbid CHF. Totally, 125 exacerbations were analysed.

Results

Exacerbations in the group with COPD patients and comorbid CHF were compared to the group with COPD patients without comorbid CHF and the group with CHF patients. Compared with GOLD 2022, the GOLD 2023 (the Rome proposal) significantly downgraded the ECOPD severity. Comorbid CHF did not interfere significantly on the observed difference. Comorbid CHF did not worsen BaR scores, assessed at inclusion and at the symptom peak of the exacerbations.

Conclusion

In the present study, we find no evidence that comorbid CHF would interfere significantly with the parameters included in the Rome proposal (GOLD 2023). We conclude that the Rome proposal can be safely applied even on COPD patients with very advanced comorbid CHF.

Are older adults considered in asthma and chronic obstructive pulmonary disease mobile health research? A scoping review

BACKGROUND

The use of mobile health (mHealth) for asthma and chronic obstructive pulmonary disease (COPD) is rapidly growing and may help address the complex respiratory care needs of our ageing population. However, little is currently known about how airways mHealth is developed and used among older adults (≥65 years).

OBJECTIVE

To identify if and how older adults with asthma and COPD have been incorporated across the mHealth research cycle.

METHODS

We searched Ovid MEDLINE, EMBASE, CINAHL and the Cochrane Central Registry of Controlled Trials for studies pertaining to the development or evaluation of asthma and COPD mHealth for adults published after 2010. Study, participant and mHealth details, including any considerations of older age, were extracted, synthesised and charted.

RESULTS

A total of 334 studies of 191 mHealth tools were identified. Adults ≥65 years old were included in 33.3% of asthma mHealth studies and 85.3% of COPD studies. Discussions of older age focused on barriers to technology use. Methodologic and/or analytic considerations of older age were mostly absent throughout the research cycle. Among the 28 instances quantitative age-related analyses were detailed, 12 described positive mHealth use and satisfaction outcomes in older adults versus negative or equivocal outcomes.

CONCLUSION

We identified an overall lack of consideration for older age throughout the airways mHealth research cycle, even among COPD mHealth studies that predominantly included older adults. We also found a contrast between the perceptions of how older age might negatively influence mHealth use and available quantitative evaluations. Future airways mHealth research must better integrate the needs and concerns of older adults.

The Exacerbation of Chronic Obstructive Pulmonary Disease: Which Symptom is Most Important to Monitor?

Background

GOLD 2023 defines an exacerbation of COPD (ECOPD) by a deterioration of breathlessness at rest (BaR), mucus and cough. The severity of an ECOPD is determined by the degree of BaR, ranging from 0 to 10. However, it is not known which symptom is the most important one to detect early of an ECOPD, and which symptom that predicts future ECOPDs best. Thus, the purpose of the present study was to find out which symptom is the most important one to monitor.

Methods

We analysed data on COPD symptoms from the telehealth study The eHealth Diary. Frequent exacerbators (n = 27) were asked to daily monitor BaR and breathlessness at physical activity (BaPA), mucus and cough, employing a digital pen and symptom scales (0-10). Twenty-seven patients with 105 ECOPDs were analysed. The association between symptom development and the occurrence of exacerbations was evaluated using the Andersen-Gill formulation of the Cox proportional hazards model for the analysis of recurrent time-to-event data with time-varying predictors.

Results

According to the criteria proposed by GOLD 2023, 42% ECOPDs were mild, 48% were moderate and 5% were severe, while 6% were undefinable. Mucus and cough improved over study time, while BaR and BaPA deteriorated. Mucus appeared earliest, which was the most prominent feature of the average exacerbation, and worsening of mucus increased the risk for a future ECOPD. There was a 58% increase in the risk of exacerbation per unit increase in mucus score.

Conclusion

This study suggests that mucus worsening is the most important COPD symptom to monitor to detect ECOPDs early and to predict future risk för ECOPDs. In the present study, we also noticed a pronounced difference between GOLD 2022 and 2023. Hence, GOLD 2023 defined the ECOPD severity much lower than GOLD 2022 did.

Unleashing the Power of Very Small Data to Predict Acute Exacerbations of Chronic Obstructive Pulmonary Disease

Introduction

In this article, we explore to what extent it is possible to leverage on very small data to build machine learning (ML) models that predict acute exacerbations of chronic obstructive pulmonary disease (AECOPD).

Methods

We build ML models using the small data collected during the eHealth Diary telemonitoring study between 2013 and 2017 in Sweden. This data refers to a group of multimorbid patients, namely 18 patients with chronic obstructive pulmonary disease (COPD) as the major reason behind previous hospitalisations. The telemonitoring was supervised by a specialised hospital-based home care (HBHC) unit, which also was responsible for the medical actions needed.

Results

We implement two different ML approaches, one based on time-dependent covariates and the other one based on time-independent covariates. We compare the first approach with standard COX Proportional Hazards (CPH). For the second one, we use different proportions of synthetic data to build models and then evaluate the best model against authentic data.

Discussion

To the best of our knowledge, the present ML study shows for the first time that the most important variable for an increased risk of future AECOPDs is "maintenance medication changes by HBHC". This finding is clinically relevant since a sub-optimal maintenance treatment, requiring medication changes, puts the patient in risk for future AECOPDs.

Conclusion

The experiments return useful insights about the use of small data for ML.

Technologies for frailty, comorbidity, and multimorbidity in older adults: a systematic review of research designs

BACKGROUND

Frailty, neurodegeneration and geriatric syndromes cause a significant impact at the clinical, social, and economic level, mainly in the context of the aging world. Recently, Information and Communication Technologies (ICTs), virtual reality tools, and machine learning models have been increasingly applied to the care of older patients to improve diagnosis, prognosis, and interventions. However, so far, the methodological limitations of studies in this field have prevented to generalize data to real-word. This review systematically overviews the research designs used by studies applying technologies for the assessment and treatment of aging-related syndromes in older people.

METHODS

Following the PRISMA guidelines, records from PubMed, EMBASE, and Web of Science were systematically screened to select original articles in which interventional or observational designs were used to study technologies' applications in samples of frail, comorbid, or multimorbid patients.

RESULTS

Thirty-four articles met the inclusion criteria. Most of the studies used diagnostic accuracy designs to test assessment procedures or retrospective cohort designs to build predictive models. A minority were randomized or non-randomized interventional studies. Quality evaluation revealed a high risk of bias for observational studies, while a low risk of bias for interventional studies.

CONCLUSIONS

The majority of the reviewed articles use an observational design mainly to study diagnostic procedures and suffer from a high risk of bias. The scarce presence of methodologically robust interventional studies may suggest that the field is in its infancy. Methodological considerations will be presented on how to standardize procedures and research quality in this field.

Effect of telemonitoring and telerehabilitation on physical activity, exercise capacity, health-related quality of life and healthcare use in patients with chronic lung diseases or COVID-19: A scoping review

BACKGROUND

Telemonitoring and telerehabilitation can support home-based pulmonary rehabilitation (PR) and benefit patients with lung diseases or COVID-19. This study aimed to (1) identify which telemonitoring and telerehabilitation interventions (e.g. videoconferencing) are used to provide telehealth care for people with chronic respiratory conditions or COVID-19, and (2) provide an overview of the effects of telemonitoring and telerehabilitation on exercise capacity, physical activity, health-related QoL (HRQoL), and healthcare use in patients with lung diseases or COVID-19.

METHODS

A search was performed in the electronic databases of Ovid MEDLINE, EMBASE, and Cinahl through 15 June 2021. Subject heading and keywords were used to reflect the concepts of telemonitoring, telerehabilitation, chronic lung diseases, and COVID-19. Studies that explored the effect of a telerehabilitation and/or telemonitoring intervention, in patients with a chronic lung disease such as asthma, chronic obstructive pulmonary diseases (COPD), or COVID-19, and reported the effect of the intervention in one or more of our outcomes of interest were included. Excluding criteria included evaluation of new technological components, teleconsultation or one-time patient assessment.

RESULTS

This scoping review included 44 publications reporting the effect of telemonitoring (25 studies), telerehabilitation (8 studies) or both (11 studies) on patients with COPD (35 studies), asthma (5 studies), COPD and asthma (1 study), and COVID-19 (2 studies). Patients who received telemonitoring and/or telerehabilitation had improvements in exercise capacity in 9 out of 11 (82%) articles, better HRQoL in 21 out of 25 (84%), and fewer health care use in 3 out of 3 (100%) articles compared to pre-intervention. Compared to controls, no statistically significant differences were found in the intervention groups' exercise capacity in 5 out 6 (83%) articles, physical activity in 3 out of 3 (100%) articles, HRQoL in 21 out of 25 (84%) articles, and healthcare use in 15 out of 20 (75%) articles. The main limitation of the study was the high variability between the characteristics of the studies, such as the number and age of the patients, the outcome measures, the duration of the intervention, the technological components involved, and the additional elements included in the interventions that may influence the generalization of the results.

CONCLUSION

Telemonitoring and telerehabilitation interventions had a positive effect on patient outcomes and appeared to be as effective as standard care. Therefore, they are promising alternatives to support remote home-based rehabilitation in patients with chronic lung diseases or COVID-19.

Usefulness of telemedicine-based heart failure monitoring according to 'eHealth literacy' domains: Insights from the iCOR randomized controlled trial

BACKGROUND

The potential positive effect of electronic health (eHealth)-based heart failure (HF) monitoring remains uncertain mainly in the 'low literacy' or 'computer or digital illiterate' patients. The aim of this study was to determine the effectiveness of a telemedicine (TM)-based managed care solution across literacy levels and information and communications technology (ICT) skills.

METHODS

We performed a sub-analysis on the basis of two literacy domains encompassed in the definition of 'eHealth literacy' to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomized study comparing TM vs. usual care (UC) in HF-patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The event rates of primary and secondary study endpoints were calculated for each literacy domains and its combination. Cox proportional-hazards regression models were used to evaluate the effect of 'eHealth literacy' dimensions, treatment group and the interaction term 'eHealth literacy' domains by treatment group on study endpoints.

RESULTS

The beneficial effect of TM compared to UC strategy was consistent across all literacy domains (p-value for interaction 0.207 and 0.117 respectively). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC in both clustered in the 'lower literacy' (p-value=0.001) and those allocated to the 'lower ICT skills' (p-value=0.001) subgroup.

CONCLUSIONS

Non-invasive eHealth-based HF monitoring tools are effective compared to UC in preventing HF events in the early post-discharge period, regardless of two 'eHealth literacy' domains ('traditional and computer literacy').

Ambient assisted living technology-mediated interventions for older people and their informal carers in the context of healthy ageing: A scoping review

BACKGROUND AND AIMS

There is a growing demand for health and social care services to provide technology-mediated interventions that promote the health and well-being of older people with health or care needs and of their informal carers. The objectives of this study were to scope and review the nature and extent of prior intervention studies involving ambient assisted living technology-mediated interventions for older people and their informal carers, and how and in what ways (if any) the goals and aims of these interventions reflected the domains of the World Health Organization framework for healthy ageing.

METHODS

We conducted a scoping review. Data were collected between June and October 2018 with an updated search in October 2020. A total of 85 articles were eligible for inclusion.

RESULTS

Nine categories described the aims and content of the included studies. The healthy ageing domain "Ability to meet basic needs" was mirrored in four categories, whereas "Ability to contribute to society" was not addressed at all.

CONCLUSION

The ways in which domains of healthy ageing are mirrored suggest that there is an emphasis on individual factors and individual responsibility, and a lack of attention given to broader, environmental factors affecting healthy ageing. Only a few of the studies used a dyadic approach when assessing health outcomes concerning older people and their informal carers.