Symptom Monitoring Research Articles

Hybrid Machine Learning Approach for Early Stroke Prediction in Elderly People

Stroke represents a significant global health challenge, often leading to severe disability and mortality. The timely prediction and intervention of stroke are paramount in enhancing patient outcomes and reducing healthcare burdens. This project proposes a machine learning-based approach to predict stroke risk using multi-modal biosignals, specifically electrocardiogram (ECG) data. By leveraging advanced algorithms, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, the system aims to classify patient health data into critical risk categories such as Normal, Abnormal, Ischemic, and Hemorrhagic. The study utilizes a comprehensive dataset consisting of ECG signals and incorporates techniques for data preprocessing, class balancing, and feature extraction. The predictive model is trained and validated using robust evaluation metrics, including accuracy, precision, recall, and F1-score. The findings underscore the efficacy of the proposed system in providing real-time stroke risk assessments, offering a cost-effective alternative to traditional diagnostic methods. Furthermore, this research explores the integration of wearable technology with machine learning, highlighting its potential for continuous patient monitoring and early detection of stroke symptoms. By creating a user-friendly interface for healthcare professionals and patients, the system aims to facilitate prompt decision-making and intervention, ultimately improving the overall quality of care for individuals at risk of stroke

Prodromal symptoms of a first manic episode: a qualitative study to the perspectives of patients with bipolar disorder and their caregivers'.

Diagnosing bipolar disorder (BD) is challenging, and adequate treatment is of major importance to minimalize the consequences of the illness. Early recognition is one way to address this. Although in clinical research the prodromal phase of BD is gaining interest, the perspective of patients with BD and their caregivers on prodromal symptoms is still lacking. The aim of this study is to gain insights in prodromal symptoms of patients with BD and their caregivers before the onset of a first manic episode. A qualitative research method was used to investigate prodromal symptoms one year prior to a first manic episode. In-depth interviews were conducted with patients with BD type I and their caregivers. Only patients with a first manic episode in the previous five years were included. The prodromal symptoms from patients' and caregivers' perspectives could be clustered into seven themes, with underlying subthemes: behavior (increased activity, destructive behavior, disinhibited behavior, inadequate behavior, changes in appearance), physical changes (changes in sleep, physical signals, differences in facial expression), communication (reciprocity, process, changes in use of social media), thought (process and content), cognition (changes in attention and concentration, forgetfulness), emotions (positive emotions, more intense emotions, mood swings), and personality (more pronounced manifestation of existing personality traits). Patients with bipolar I disorder and their caregivers described subsyndromal manic features one year prior to a first manic episode. In addition, they recognized mood lability, physical changes and more pronounced manifestation of existing personality traits. The results of this study confirm the presence of a prodromal phase. In clinical practice, monitoring of prodromal symptoms of BD can be useful in patients with depression, especially those with a familial risk of BD.

Symptom Monitoring With Patient-Reported Outcomes During Pediatric Cancer Care.

Symptom Monitoring With Patient-Reported Outcomes During Pediatric Cancer Care.

Abstract 4136911: Daily Dyadic Symptom Appraisal Dynamics During Care Transitions in Persons with Heart Failure and Their Care Partners

Background: Symptom monitoring after heart failure (HF) hospitalization is a central aspect of patient education. However, appraising symptoms can be difficult for persons with HF (PWHFs), and studies suggest family care partners (CPs) play a key supportive role. The purpose of this study is to examine dyadic HF symptom appraisal dynamics in PWHF-CP dyads during hospital-to-home transitions. Methods: We conducted a daily diary study of dyadic symptom appraisal in which PWHFs and CPs were enrolled during a HF hospitalization. Over 5 weeks, both completed daily assessments of the PWHF’s symptoms (HF Somatic Perception Scale, PROMIS Fatigue 4a). Each dyad’s appraisal dynamics were quantified using a set of N of 1 dyadic autoregressive time series models examining total symptoms, hallmark symptoms (dyspnea, edema) and nonspecific symptoms (early/subtle cluster, fatigue). Models were examined for within-dyad dynamics (within-dyad associations on the same day or on a 1-day lag). Patterns in significant dynamics across dyads were narratively described. Results: This analysis includes n=14 cohabitating dyads, all partnered. On average, PWHFs and CPs were 69.6±5.4 and 67.4±8.0 years of age. The sample was relatively gender balanced (43% of PWHFs and 64% of CPs identified as female), and primarily identified as non-Hispanic (86% of PWHFs, 93% of CPs) and White (93% of PWHFs, 86% of CPs). Most PWHFs had non-ischemic cardiomyopathy (64%) and were NYHA Class III/IV (86%), with 57% HFrEF (mean EF 37%±17%). Symptom appraisals were highly variable within and across dyads (Fig 1). Most (n=11, 79%) had significant dyadic dynamics, but dynamics across dyads varied by symptom type and time structure (Fig 2). Conclusions: The types of symptoms that HF care dyads are able to appraise together and the time structure of appraisals are variable during care transitions. Precision approaches tailored to individual dyads are needed to optimize inclusion of CPs in symptom monitoring interventions.

PRO-P: evaluating the effect of electronic patient-reported outcome measures monitoring compared with standard care in prostate cancer patients undergoing surgery-study protocol for a randomized controlled trial.

With over 65,000 new cases per year in Germany, prostate cancer (PC) is the most common cancer in men in Germany. Localized PC is often treated by radical prostatectomy and has a very good prognosis. Postoperative quality of life (QoL) is significantly influenced by the side effects of surgery. One possible approach to improve QoL is postoperative symptom monitoring using ePROMs (electronic patient-reported outcome measures) to accurately identify any need for support. The PRO-P ("Influence of ePROMS in surgical therapy of PC on the postoperative course") study is a randomized controlled trial employing 1:1 randomization at 6weeks postoperatively, involving 260 patients with incontinence (≥ 1 pad/day) at six participating centers. Recruitment is planned for 1year with subsequent 1-year follow-up. PRO-monitoring using domains of EPIC-26, psychological burden, and QoL are assessed 6, 12, 18, 24, 36, and 52weeks postoperatively. Exceeding predefined PRO-score cutoffs triggers an alert at the center, prompting patient contact, medical consultation, and potential interventions. The primary endpoint is urinary continence. Secondary endpoints refer to EPIC-26 domains, psychological distress, and QoL. Aspects of feasibility, effect, and implementation of the intervention will be investigated within the framework of a qualitative process evaluation. PRO-P investigates the effect on postoperative symptom monitoring of a structured follow-up using ePROMs in the first year after prostatectomy. It is one of the first studies in cancer surgery investigating PRO-monitoring and its putative applicability to routine care. Patient experiences with intensified monitoring of postoperative symptoms and reflective counseling will be examined in order to improve primarily urinary continence, and secondly other burdens of physical and psychological symptoms, quality-of-life, and patient competence. The potential applicability of the intervention in clinical practice is facilitated by IT adaption to the certification standards of the German Cancer Society and the integration of the ePROMs survey via a joint patient portal. Positive outcomes could readily translate this complex intervention into routine clinical care. PRO-P might improve urinary incontinence and QoL in patients with radical prostatectomy through the structured use of ePROMs. ClinicalTrials.gov NCT05644821. Registered on 09 December 2022.

Abstract 4141453: The Pandemic influenced the Self-care of African Immigrants with Diabetes and Hypertension

Background: Self-Care is essential for chronic illness management. Self-Care comprises three domains: Self-Care maintenance (daily behaviors to maintain health [e.g., medication adherence]), Self-Care monitoring (surveillance for changes), and (3) Self-Care management (prompt response to symptoms). The COVID-19 pandemic challenged self-care in some populations, but little is known about how it influenced the self-care of African immigrants living in the US with chronic illnesses such as hypertension and diabetes. Methods: Using a qualitative descriptive design, we enrolled a purposeful sample of 24 sub-Saharan African immigrant adults with self-reported symptomatic hypertension or diabetes. Participants who spoke English were enrolled between March 2020 and September 2021. Individual audio-taped interviews were transcribed and analyzed. Inductive and deductive thematic analysis was guided by the Theory of Self-Care of Chronic Illness. Results: Participants were mean=59 years (range 40-72). Most were Nigerian (n=16), male (n=16), married (n=17), living with family (n=21), highly educated (n=21), and reporting enough income to meet their needs (n=21). Five major themes were identified: (1) Being especially careful in following COVID-19 precautions (e.g., use of facemasks). (2) A focus on self-care maintenance (e.g., healthy diet, staying active while at home). Fear of COVID-19 increased medication adherence. Participants were diligent in taking medications as prescribed due to fear of COVID-19. (3) Close monitoring for symptoms. (4) Trouble reaching providers to discuss symptoms. (5) Access to resources. Participants reported loss of health insurance/jobs and lack of provider access, which impacted their ability to perform self-care. Conclusions: COVID-19 increased focused attention on self-care but also created barriers for sub-Saharan African Immigrants. Most impacted was self-care maintenance. Interventions to promote self-care in this population should leverage heightened vigilance to self-care and address challenges around access to resources.

The Role of Nursing in Managing Chronic Illness: A Review of Patient Outcomes and Quality of Life

The management of chronic illness is a growing priority in healthcare, with nursing playing a critical role in improving patient outcomes and quality of life. This review explores the various nursing interventions that support chronic illness management, including patient education, symptom monitoring, and emotional support. By providing personalized care and fostering self-management skills, nurses contribute to reduced hospital readmissions, improved medication adherence, and enhanced physical and mental health outcomes. Additionally, nursing care significantly influences patients' quality of life, offering emotional support that positively impacts their mental well-being and overall satisfaction. Despite the benefits, challenges such as limited resources, time constraints, and nursing burnout remain barriers to effective care. This review emphasizes the need for continued support for nursing roles in chronic illness management, policy adjustments to address resource limitations, and integration of technology to enhance care delivery. Overall, a strengthened nursing role in chronic illness management not only benefits patient outcomes but also enhances patients' quality of life, underscoring the importance of investment in nursing care to meet the demands of chronic illness in healthcare.

A brief report: Lessons learned using wearable technology to collect data from adults receiving medications for opioid use disorder

ABSTRACT Background Incorporating wearable technology into substance use disorder research enables continuous, objective, and remote data collection, facilitating symptom monitoring to prevent relapse. However, implementation challenges may hinder data collection. This paper aims to assess adherence patterns to a wrist-worn wearable device, and to share lessons learned from incorporating wearable technology to collect physiological data from adults with opioid use disorder. Methods Employing a prospective observational design, we used convenience sampling to recruit adults receiving medications for opioid use disorder in outpatient settings. Wearable adherence was measured by days and nights worn over eight weeks, acceptability by a visual analog scale, and anecdotal notes tracked study activities and challenges. Results Twenty-three participants completed baseline, and 16 (70.0%) completed the study. Daytime and nighttime wearable adherence averaged 60.1% and 47.7%, respectively. Wearable adherence was highest at the earlier phase of the study (67.7%) and plateaued after overtime. User-related and technical challenges included digital illiteracy, protocol nonadherence, low motivation, measurement errors, and short battery life. Unique challenges included wearable design concerns and sleep problems. Conclusions This study demonstrates the feasibility of wearable use and highlights the potential to overcome challenges. Proactively sharing insights can facilitate wearable technology adoption for both participants and researchers.

Examining the clinical role and educational preparation of heart failure nurses across Europe. A survey of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP) of the ESC.

To describe the clinical practice and educational preparation of heart failure (HF) nurses across Europe and determine the key differences between countries. A survey tool was developed, in English, by the Heart Failure Association Patient Care committee of the European Society of Cardiology (ESC). It was translated into eight languages, before electronically disseminated by nurse ambassadors, presidents of HF national societies and through social media. A total of 837 nurses involved in the daily care of patients with HF from 15 countries completed the survey. Most nurses, 78% (n = 395) worked within a hospital outpatient setting, and 51% (n = 431) had access to a specialized HF multidisciplinary team. Nurses performed a range of activities including patient education to promote self-care, virtual and in-person symptom monitoring. A third had more than 5-year experience in cardiac care and 22% (n = 182) prescribed HF medications. There was a significant correlation between HF nurses that prescribed HF medications and access to a specialist multidisciplinary team (p = 0.04). A small number of nurses, mainly from Belgium, supported invasive monitoring (n = 68, 8%) with 14% (n = 120) of mostly Danish nurses supporting exercise programmes. The majority of nurses surveyed were committed to further academic professional development, with 41% (n = 343) having completed a HF course. The role of the HF nurse varies across Europe, however involvement in patient education, symptom monitoring and follow-up remain core to their practice. In specific activities including the prescribing of HF medications and involvement in invasive monitoring, practice has advanced with collaboration in the multidisciplinary team. Consequently, harmonization of education, training and career pathways are required to standardize HF care aligned with expert guidelines across Europe.

Developing a clinical decision support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure.

The healthcare industry increasingly values high-quality and personalized care. Patients with heart failure (HF) receiving home health care (HHC) often experience hospitalizations due to worsening symptoms and comorbidities. Therefore, close symptom monitoring and timely intervention based on risk prediction could help HHC clinicians prevent emergency department (ED) visits and hospitalizations. This study aims to (1) describe important variables associated with a higher risk of ED visits and hospitalizations in HF patients receiving HHC; (2) map data requirements of a clinical decision support (CDS) tool to the exchangeable data standard for integrating a CDS tool into the care of patients with HF; (3) outline a pipeline for developing a real-time artificial intelligence (AI)-based CDS tool. We used patient data from a large HHC organization in the Northeastern US to determine the factors that can predict ED visits and hospitalizations among patients with HF in HHC (9362 patients in 12,223 care episodes). We examined vital signs, HHC visit details (e.g., the purpose of the visit), and clinical note-derived variables. The study identified critical factors that can predict ED visits and hospitalizations and used these findings to suggest a practical CDS tool for nurses. The tool's proposed design includes a system that can analyze data quickly to offer timely advice to healthcare clinicians. Our research showed that the length of time since a patient was admitted to HHC and how recently they have shown symptoms of HF were significant factors predicting an adverse event. Additionally, we found this information from the last few HHC visits before the occurrence of an ED visit or hospitalization were particularly important in the prediction. One hundred percent of clinical demographic profiles from the Outcome and Assessment Information Set variables were mapped to the exchangeable data standard, while natural language processing-driven variables couldn't be mapped due to their nature, as they are generated from unstructured data. The suggested CDS tool alerts nurses about newly emerging or rising risks, helping them make informed decisions. This study discusses the creation of a time-series risk prediction model and its potential CDS applications within HHC, aiming to enhance patient outcomes, streamline resource utilization, and improve the quality of care for individuals with HF. This study provides a detailed plan for a CDS tool that uses the latest AI technology designed to aid nurses in their day-to-day HHC service. Our proposed CDS tool includes an alert system that serves as a guard rail to prevent ED visits and hospitalizations. This tool can potentially improve how nurses make decisions and improve patient outcomes by providing early warnings about ED visits and hospitalizations.

Trajectories of depressive symptoms in Korean adults with diabetes: Individual differences and associations with life satisfaction and mortality.

We examined trajectories of depressive symptoms and their predictors in adults with diabetes. We assessed whether these trajectories were related to life satisfaction and mortality. Longitudinal, prospective observational study. We analysed data from 1217 adults with diabetes (aged ≥45 years) in the Korean Longitudinal Study of Aging (2006-2018). Three trajectories of depressive symptomology were identified in growth mixture models: low/stable (i.e., low and stable levels of symptoms; 85.56%), high/decreasing (i.e., high levels of symptoms with a decreasing trajectory; 7.47%), and moderate/increasing (i.e., moderate levels of symptoms with an increasing trajectory; 6.98%). Participants with poor perceived health status at baseline were more likely to be in the moderate/increasing or high/decreasing classes than in the low/stable class. The moderate/increasing class had the lowest satisfaction with quality of life, followed by the high/decreasing and low/stable classes. The moderate/increasing and the high/decreasing classes had lower satisfaction with relationships with spouse and children than the low/stable class. The high/decreasing class had a higher mortality risk than the low/stable class. Long-term monitoring of depressive symptoms in adults with diabetes is warranted given their potential adverse impact on life satisfaction and mortality.

Patient and clinician perspectives of an eHealth intervention for supporting cancer treatment in the UK: mixed methods evaluation of the eRAPID randomised controlled trial

ObjectivesDuring 2015–2018, a randomised controlled trial (RCT) evaluated eRAPID, an eHealth intervention designed to capture patient-reported symptoms online during cancer treatment. eRAPID provides patients with advice on when to self-manage...

The Use of Telehealth Technology in the Medical Management of Adults with Intellectual Disability: A Scoping Review.

Background: Individuals with intellectual disability (ID) experience substantial inequalities and barriers accessing health care despite requiring constant accessibility to healthcare providers as they are more likely to die from avoidable causes of death than those without ID. Telehealth technologies have the capacity to improve access to health providers and health information and could greatly reduce morbidity and mortality rates in people with ID. This study aims to explore the use of mobile health technology in the medical management of adults with intellectual disability. Methodology: PubMed, IEEE Explore, ACM, and Scopus databases were examined to extract peer-reviewed articles published from January 2000 to January 2022. Original research, published in English and focused on the use of telehealth technologies in the medical management of intellectual disability were deemed eligible. A narrative synthesis of the results was completed, structured around the characteristics of telehealth technologies used and the outcomes of the studies. Results: Thirteen of 1008 reviewed articles were considered eligible for inclusion. Most of the studies used videoconferencing platforms for real-time telehealth, while others focused on symptom or medication monitoring applications. The evidence supports the feasibility, potential effectiveness and satisfaction of using telehealth to manage intellectual disability among adults despite accessibility issues including poor internet connectivity and poor knowledge of technology which may limit its use. Conclusion: The use of telehealth was feasible, acceptable and potentially effective for the management of ID among adults though the varied methodology of included studies maybe inadequate. A more structured methodology will be useful in future studies.

Survey of Post-Prophylaxis Delayed-Onset Cytomegalovirus Management Strategies Among Transplant Providers.

Preventive strategies for cytomegalovirus (CMV) in the posttransplant period have changed the pattern of CMV infections, now more commonly manifesting as late-onset occurrences known as post-prophylaxis delayed-onset CMV disease (PPDOC). We conducted a survey to investigate provider practices in managing PPDOC. A web-based provider survey on the management of PPDOC was developed using Research Electronic Data Capture (REDCap). It was distributed to the online forums of the American Society of Transplantation communities of practice (COP) for Infectious Diseases (IDCOP), Kidney and Pancreas (KPCOP), Liver and Intestinal (LICOP), and Thoracic and Critical Care (TCCOP). The survey was posted twice within a span of a month. Fifty-six respondents, comprising 50 (89%) transplant physicians and 6 (11%) transplant pharmacists, from 46 distinct transplant centers, completed the survey. Universal antiviral prophylaxis (UAP) was the predominant preventive approach for both high-risk (85%) and moderate-risk (85%) transplant recipients. Out of 56, 51 respondents completed the questions regarding management of PPDOC. Regular surveillance with nucleic acid amplification tests (NAAT) (88%) was the most commonly used approach in high-risk recipients, while symptom monitoring (73%) was the most common strategy in moderate-risk recipients. Immunologic monitoring was used only by a few respondents who found it moderately useful in high-risk recipients. Management of PPDOC was highly variable among providers and strategies differed based on patient risk profile. These findings could help shape future studies and guidelines to harmonize CMV management.

An electronic patient-reported outcome symptom monitor: the Chinese experience with rapid development of a ready-to-go symptom monitor

BackgroundMonitoring symptoms is crucial for the early detection of disease progression and timely intervention, which is essential for reducing severe cases and mortality rates in rapidly spreading pandemics, such as COVID-19. Therefore, during infectious disease pandemics, the rapid development of real-time symptom monitoring platforms is essential. This study aimed to explore the urgent development process of an electronic system for patient-reported outcome monitoring in emergency situations.MethodsThe development of the electronic patient-reported outcome COVID-19 symptom monitoring platform (ePRO-CoV-SM) included the following steps: (1) modifying an electronic patient-reported outcome symptom-reporting platform to assess patients with COVID-19 and validating its feasibility and sensitivity for longitudinal symptom measurement; (2) updating the system to accommodate the newly emerged severe acute respiratory syndrome coronavirus 2 BA.2.2 variant; and (3) applying it in real-world settings. Literature review, expert consultation, and subject-group discussions were used to develop symptom items. Response rate and missing item rate were used as validation indicators for ePRO-CoV-SM.ResultsThe ePRO-CoV-SM (2.0) consists of a core set of symptom items, a WeChat mini program, an online project design backend, a management and communication front, and a database. During the 2020 verification, the response rate of ePRO symptom monitoring reached 89.47% and the item missing rate was 0.33%, the monitoring revealed that a considerable number of asymptomatic patients were experiencing undesirable symptoms during the isolation period. In its real-world application in 2022, the response rate was 85.93% and the item missing rate was 4.84%, the monitoring found the symptom burden was higher in the younger group (18–40 years old) than in the older group (40–67 years old), and over 30% of patients reported symptoms such as cough (36.08%), dry mouth (35.67%), sleep disorders (32.27%), appetite loss (32.17%), and sputum (30.79%) during the isolation period.ConclusionsElectronic patient-reported outcome measurement was demonstrated to be sensitive and feasible for monitoring symptoms in patients with COVID-19. By integrating smartphone-based data collection with real-time online data transmission and secure data storage using Secure Sockets Layer encryption, an electronic platform for monitoring critical symptoms can be rapidly established in emergency situations.

A novel nurse-led, multidisciplinary, and guideline-directed disease intensive management program improves long-term survival of pulmonary hypertension patients

Abstract Background Although the overall survival of pulmonary hypertension (PH) patients improved in the current era, better management strategy for PH patients still needs further exploration. Here, we proposed a novel nurse-led, multidisciplinary, and guideline-directed disease intensive management program and hypothesized this strategy would improve the overall survival of PH patients. Methods Patients were prospectively enrolled and divided into the intensive management group (IDM) and the conventional disease care (CDC) group voluntarily. Intensive management was nurse-led and delivered by multidisciplinary teams, including patient education, symptoms monitoring, and patient adherence improvement with careful outpatient or inpatient assessment every 3 months and medicine prescription whenever needed. Patients with conventional care were treated by primary cardiologists’ consultants and telephone follow-ups every year. Results Overall, 413 PH patients were finally included. Both total survival (p<0.001) and event-free survival (p=0.008) of the IDM group were significantly higher than the CDC group. After adjustment of age and sex, intensive management was also an independent protective predictor for both primary [all-cause mortality, HR 0.378, 95% CI (0.214-0.668), p<0.001] and composite endpoints [all-cause mortality and re-hospitalization, HR 0.648, 95% CI (0.454-0.927), p=0.017]. In subgroup analysis, IDM was beneficial in prolonging the overall survival of patients in high-risk situations (HR 0.283, 95% CI 0.125-0.641, p=0.002) and with advanced RV dysfunction (HR 0.250, 95% CI 0.123-0.510, p<0.001). Conclusion Nurse-led, multidisciplinary, and guideline-directed disease intensive management program represented an ideal method to strengthen the overall and event-free survival of PH patients, especially for those in advanced stages of PH.Novel management program

Association between self-care behaviour and multiple frailty domains in older patients with heart failure

Abstract Background/Introduction Heart failure (HF) self-care is important for the effective management of HF, reducing clinical events such as all-cause mortality and hospitalizations. HF self-care behaviours encompass comply with a regimen involving medication, diet, and exercise, symptom monitoring, and seeking assistance when symptoms occur. Frailty, prevalent among older patients with HF, involves physical, social, and cognitive domains. Identified factors influencing self-care behaviours in patients with HF include age, social support, and knowledge of the condition. Despite research on the association between self-care behaviours and frailty, there is a notable gap in studies that explore the relationship between self-care behaviour and multiple domains of frailty, particularly with adjustments for clinical characteristics. Purpose The aim of this study was to assess the association between self-care behaviour and multiple domains of frailty in older patients with HF. Methods The study included 182 patients with HF who were aged 65 years or older. Self-care behaviour was assessed 5 months after their discharge using the European Heart Failure Self-Care Behaviour Scale (EHFScBS), a self-report questionnaire. Frailty was assessed using the revised Japanese version of the Cardiovascular Health Study criteria (J-CHS) for physical frailty, and using Makizako’s five items for social frailty, and using Mini-Cog for cognitive decline. We used multiple regression analysis to assess the association between self-care score and multiple frailty domains and the number of frailty domains. The adjusted model was constructed based on age, gender, body mass index, New York Heart Association Classification, left ventricular ejection fraction, log-transformed B-type natriuretic peptide, estimated glomerular filtration rate and history of HF. In addition, we used multiple regression analysis to assess the association between the EHFScBS subitems score complying with regimen, asking for help, and adapting activities and multiple frailty domains and the number of frailty domains. Results According to the results of a multiple regression analysis, poor self-care behaviour was significantly associated with physical and social frailty and the number of frailty domains (all p < 0.05), even after adjusting for clinical characteristics. Poor complying with regimen was also significantly associated with physical and social frailty and the number of frailty domains (all p < 0.05). Poor asking for help was significantly associated with social frailty and the number of frailty domains (all p < 0.05). Conclusion The study indicates that poor self-care behaviour is linked to physical and social frailty, in addition to the cumulative number of frailty domains in older patients with HF, even when clinical characteristics are taken into consideration. This underscores the importance of factoring in the frailty status when guiding patients with HF in disease management.

Recent Advances in the Wearable Devices for Monitoring and Management of Heart Failure.

Heart failure (HF) is an acute and degenerative condition with high morbidity and mortality rates. Early diagnosis and treatment of HF can significantly enhance patient outcomes through admission and readmission reduction and improve quality of life. Being a progressive condition, the continuous monitoring of vital signs and symptoms of HF patients to identify any deterioration and to customize treatment regimens can be beneficial to the management of this disease. Recent breakthroughs in wearable technology have revolutionized the landscape of HF management. Despite the potential benefits, the integration of wearable devices into HF management requires careful consideration of technical, clinical, and ethical challenges, such as performance, regulatory requirements and data privacy. This review summarizes the current evidence on the role of wearable devices in heart failure monitoring and management, and discusses the challenges and opportunities in the field.

An Agent-Based "Virtual Clinical Trial" for the Analysis and Evaluation of COPD Patients Cohorts Behavior

Chronic Obstructive Pulmonary Disease (COPD) is a chronic respiratory condition characterized by inflammation and narrowing of the airways, leading to symptoms such as shortness of breath, coughing, and chest tightness. Treatment typically involves lifestyle adjustments, medication, and pulmonary rehabilitation to improve lung function and quality of life. This study presents a model examining COPD patient behavior within cohort-based strategies, focusing on how environmental factors impact vital signs across the entire cohort. We developed a comprehensive virtual clinical trial model that encompasses study protocol design, participant recruitment, virtual data collection, outcome analysis, and conclusions. This includes remote symptom monitoring, virtual healthcare consultations, treatment adherence assessments, and research data collection. Additionally, we explore the influence of external variables such as environmental conditions, comorbidities, and lifestyle factors on chronic disease symptoms and disease stability. We used an Agent-Based Model(ABM) to incorporate these factors to assess COPD progression and treatment efficacy. Individual agents represent COPD patients, each characterized by attributes such as age, smoking history, lung function, comorbidities, and treatment plans.

Posttraumatic Stress Disorder and Substance Use Disorder Screening, Assessment, and Treatment.

We review prevalence, etiology, impact on treatment, and best practices for treatment of posttraumatic stress disorder (PTSD) in a substance use disorder (SUD) treatment setting. Recommendations are given related to screening, assessment, and symptom monitoring. PTSD and SUDs are highly comorbid. This comorbidity is associated with higher acuity, more difficulty completing treatment, and worse prognosis. Integrated treatment is recommended, and trauma-focused psychotherapies combined with pharmacotherapy show particular promise. PTSD is highly prevalent in substance using samples, negatively impacting treatment course and worsening prognosis. This comorbidity has been explained by a variety of models, with self-medication having garnered the most support. Trauma-focused psychotherapies combined with pharmacotherapy demonstrate the most efficacy and are recommended when treating co-occurring SUDs and PTSD. Specifically, prolonged exposure (PE), concurrent treatment of PTSD and SUDs using PE (COPE), and cognitive processing therapy (CPT) have been seen as promising trauma-focused treatments. Investigations into ways to best augment therapy are also underway, both through treatment format and neuromodulation. Several recommendations are given.