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We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps, and developing ideal AF recording and processing technologies. Recording and processing techniques for assessment of electrical activity during AF essential for diagnosis and guiding ablative therapy including body surface electrocardiograms (ECG) and endo- or epicardial electrograms (EGM) are evaluated. Discussion of (i) differences in uni-, bi-, and multi-polar (omnipolar/Laplacian) recording modes, (ii) impact of recording technologies on EGM morphology, (iii) global or local mapping using various types of EGM involving signal processing techniques including isochronal-, voltage- fractionation-, dipole density-, and rotor mapping, enabling derivation of parameters like atrial rate, entropy, conduction velocity/direction, (iv) value of epicardial and optical mapping, (v) AF detection by cardiac implantable electronic devices containing various detection algorithms applicable to stored EGMs, (vi) contribution of machine learning (ML) to further improvement of signals processing technologies. Recording and processing of EGM (or ECG) are the cornerstones of (body surface) mapping of AF. Currently available AF recording and processing technologies are mainly restricted to specific applications or have technological limitations. Improvements in AF mapping by obtaining highest fidelity source signals (e.g. catheter-electrode combinations) for signal processing (e.g. filtering, digitization, and noise elimination) is of utmost importance. Novel acquisition instruments (multi-polar catheters combined with improved physical modelling and ML techniques) will enable enhanced and automated interpretation of EGM recordings in the near future. [ABSTRACT FROM AUTHOR]

Aims: Dehydration is one of the common complications of dysphagia and poses significant risks including hospitalization and mortality, but the relationship between dysphagia and dehydration has received little attention. This study aims to determine the prevalence and risk factors for dehydration of patients with dysphagia in eastern China, and to provide reference for early identification and prevention of dehydration. Methods: A descriptive, cross‐sectional design was conducted. Three hundred and thirty‐seven (n = 337) patients with dysphagia participated in the study between August and December 2022. Information relating to participants' demographic variables, nutrition, cognition, functional, hydration status and fluid intake was collected. Univariate analysis was used to examine related impact factors, and then binary logistic regression analysis was conducted to determine reliable impact factors. Results: Among 337 patients with dysphagia, the average age was 63.47 ± 16.96, most participants were male (72.1%) and married (91.7%). The prevalence of dehydration was calculated to be 43.9%, the mean plasma osmolality score was 293.53 mmol/L. Diseases with the highest prevalence were stroke (78.3%), followed by hypertension (63.5%). The risk for dehydration increased with older age, usage of more medicines such as diuretics and beta‐blockers, worse functional status and lower fluid intake. Conclusion: This study found a high percentage of dehydration in patients with dysphagia. Findings can provide a basis for targeted nursing interventions for clinical prevention and treatment of dehydration. Summary statement: What is already known about this topic? Dehydration is one of the adverse consequences of dysphagia, and it causes physical stress to sufferers and enormous costs to the health care system.Previous studies have identified that personal factors (age, gender, health condition etc.), living environment, and social support may affect dehydration What this paper adds? Results showed high percentages of dehydration among patients with dysphagia; older age, greater use of medicines such as diuretics and beta‐blockers, worse functional status and lower fluid intake played a crucial role in hospital patients with dysphagia, leading to dehydration. The implications of this paper: This paper reveals prevalence and risk factors associated with dehydration of patients with dysphagia in hospital.Findings could provide reference data for development of nursing preventive interventions, to reduce the incidence of dehydration and improve the health level of patients. [ABSTRACT FROM AUTHOR]

A health-related (HR) profile is a set of multiple health-related items recording the status of the patient at different follow-up times post-stroke. In order to support clinicians in designing rehabilitation treatment programs, we propose a novel multi-task learning (MTL) strategy for predicting post-stroke patient HR profiles. The HR profile in this study is measured by the Barthel index (BI) assessment or by the EQ-5D-3L questionnaire. Three datasets are used in this work and for each dataset six neural network architectures are developed and tested. Results indicate that an MTL architecture combining a pre-trained network for all tasks with a concatenation strategy conditioned by a task grouping method is a promising approach for predicting the HR profile of a patient with stroke at different phases of the patient journey. These models obtained a mean F1-score of 0.434 (standard deviation 0.022, confidence interval at 95% [0.428, 0.44]) calculated across all the items when predicting BI at 3 months after stroke (MaS), 0.388 (standard deviation 0.029, confidence interval at 95% [0.38, 0.397]) when predicting EQ-5D-3L at 6MaS, and 0.462 (standard deviation 0.029, confidence interval at 95% [0.454, 0.47]) when predicting the EQ-5D-3L at 18MaS. Furthermore, our MTL architecture outperforms the reference single-task learning models and the classic MTL of all tasks in 8 out of 10 tasks when predicting BI at 3MaS and has better prediction performance than the reference models on all tasks when predicting EQ-5D-3L at 6 and 18MaS. The models we present in this paper are the first models to predict the components of the BI or the EQ-5D-3L, and our results demonstrate the potential benefits of using MTL in a health context to predict patient profiles. [ABSTRACT FROM AUTHOR]

Accessible SummaryWhat is known on the subject?Functioning is one of the most affected areas in schizophrenia. Social, occupational and personal domains are affected, and these deficits are responsible for a major part of the disability associated with the disorder.There are several instruments to measure functioning, but the HoNOS provides a wide assessment of impairment in 12 areas of functioning.What does the paper add to existing knowledge?The Spanish version of the HoNOS shows good properties in terms of reliability and validity for use in schizophrenia patients.Although some authors divide the scale according to proposed underlying dimensions, in schizophrenia this division may not be appropriate.What are the implications for practice?A reliable and easy‐to‐use measure of impairment in different areas of functioning is useful for optimizing the treatment and rehabilitation of patients with schizophrenia. Introduction: The HoNOS scale was designed for the assessment of psychosocial impairment in various domains. While it is widely used in psychiatric settings, it has not been validated in Spanish for use in patients with schizophrenia. Aim: To examine the psychometric properties of the Spanish version of the HoNOS scale in a sample of schizophrenia patients. Method: A total of 194 individuals aged 18 to 65 with schizophrenia spectrum diagnoses were evaluated using the HoNOS. Illness severity and level of functioning were also assessed. Results: The HoNOS showed moderate internal consistency, good inter‐observer reliability and good test‐retest reliability. Factor analysis revealed an internal structure consisting of four factors, with item distribution differing from the theoretical dimensions proposed for the original scale. Discussion: The Spanish version of the HoNOS scale is a reliable and valid instrument for assessing psychosocial impairment in individuals diagnosed with schizophrenia spectrum disorders. However, further research is needed to determine its internal structure more accurately. Implications for Practice: The HoNOS scale provides researchers and clinicians with a valid measure of impairment in twelve different domains, which can facilitate and guide the treatment of schizophrenia patients. [ABSTRACT FROM AUTHOR]

Objectives: To assess the psychometric characteristics of the Spanish Post-COVID-19 Functional Status (PCFS) scale (web-based and paper-based forms) and the test-retest reliability of the web-based form. Study design and setting: Cross-sectional study of 125 COVID-19 survivors. The test-retest reliability of the web-based form was assessed at 7 days after the first evaluation. We collected symptoms, functional status (PCFS scale), health-related quality of life (EuroQol-5D questionnaire, EQ-5D-5L), activities of daily living limitations [Barthel Index and Global Activity Limitation Index, GALI] and psychological state (Hospital Anxiety and Depression Scale, HADS). Results: The paper- and web-based forms of the Spanish PCFS scale showed adequate construct validity, and the web-based form provided substantial test-retest reliability (kappa = 0.63). The percentage of agreement between the web-based and paper-based forms was high (88%). Functional status showed a high correlation with EQ-5D-5L (inverse) and GALI (direct) (both; Rho ≥.743), a moderate correlation with HADS (Rho ≥.409) and a low correlation with the Barthel Index (Rho <.30). The Kruskal–Wallis test showed statistically significant differences in EQ-5D-5L, GALI and HADS according to the degree of functional status. Conclusion: The Spanish version of the PCFS scale (web-based and paper-based forms) showed adequate construct validity, and the web-based form provided substantial test-retest reliability in COVID-19 survivors. [ABSTRACT FROM AUTHOR]

Introduction: Informal caregivers are the backbone of dementia care. iSupport is a World Health Organization digital support program for caregivers of people with dementia (PwD) that has been culturally adapted in several countries. iSupport was previously assessed for its feasibility in Portugal, and this countryspecific version is now being utilized as a remote measurement tool (RMT). It constitutes the first internationally developed iSupport platform that is technically and scientifically enhanced to collect data on sociodemographic, clinical, and psychosocial variables of dementia care dyads. This paper characterizes the early adopters of iSupport-Portugal and discusses its exploration as a RMT. Methods: Cross-sectional data were collected between February and July 2023 from users registering on isupport-portugal.pt. To characterize caregivers and PwD, eligibility was limited to unpaid caregivers assisting community dwelling PwD (n = 173). Data were collected through self-administered instruments in users' accounts. Caregivers completed psychosocial measures on burden, anxiety, depression, quality of life, desire to institutionalize and usage of community services. Textual data on caregivers' needs underwent content analysis. Results: Among the early adopters of iSupport-Portugal (n = 365), 52.3% were informal caregivers, while 44.7% were health/social care professionals or others. Most caregivers were female (82.7%), middle-aged (M 51.7 years), highly educated (M 15.3 years) and supporting a parent (70.5%). Caregivers cared for a median of 24 h/week and 60.8% lived with the PwD. Neuropsychiatric symptoms were reported for 94.1% of PwD, who scored as moderately dependent (Barthel Index: M 14.0). Significant burden was reported by 88.4% of caregivers (=21 on ZBI-22). Among caregivers scoring borderline or abnormal (=8 on HADS) for anxiety, depression, or both (75.5%), 30.8% sought mental health counseling. Caregivers supporting a PwD not using community services scored higher on anxiety (p = 0.003), and depression (p = 0.009). Text data revealed unmet practical, emotional, and informational needs. Discussion: iSupport-Portugal has garnered fair initial interest from caregivers, particularly from those who are children, highly educated, and employed. Early adopters exhibited significant psychological distress, and both practical and emotional needs, which contrast with limited use of support services for themselves and the PwD. iSupport-Portugal shows promise for descriptive research on care dyads, particularly among newer generations of caregivers. [ABSTRACT FROM AUTHOR]

Aims: To assess the effects of COVID‐19 pandemic on clinical variables as part of the routine clinical monitoring of patients with chronic diseases in primary care. Design: A prospective longitudinal study was conducted in primary care centres of the Andalusian Health Service. Methods: Data were recorded before the pandemic (T1), during the declaration of the state of emergency (T2) and in the transition phase (T3). The Barthel index and the Short Portable Mental Status Questionnaire (SPMSQ) were used to analyse functional and cognitive changes at the three time points. HbA1c, systolic and diastolic blood pressure, heart rate, BMI and lipid levels were assessed as clinical variables. Descriptive statistics and non‐parametric chi‐square test were used for analysis. STROBE checklist was used for the preparation of this paper. Results: A total fo148 patients with chronic conditions were included in the analysis. Data analysis revealed in T2 only significant reductions in BMI, total levels of cholesterol and HDL during the onset of the pandemic. Barthel Index, SPMSQ, blood pressure and triglycerides and LDL levels worsened in T2, and the negative effects were maintained in T3. Compared to pre‐pandemic values, HbA1c levels improved in T3, but HDL levels worsened. Conclusions: COVID‐19 has drastically disrupted several functional, cognitive and biological variables. These results may be useful in identifying clinical parameters that deserve closer attention in the case of a new health crisis. Further studies are needed to assess the potential impacts of each specific chronic condition. Impact: Cognitive and functional status, blood pressure and triglycerides and LDL levels worsen in short term, maintaining the negative effects in medium‐term. [ABSTRACT FROM AUTHOR]

Introduction: This study aims to verify if older adults with mixed anxiety-depressive disorder are more prone to euthanasia and identify factors that interfere with their satisfaction with health and capacity for well-informed decisions. Material and Methods: The study applied a paper questionnaire composed of a sociodemographic section and a battery of scales (to assess depression, anxiety, cognitive performance, suicide risk, therapeutic adhesion, functionality, loneliness, attitude towards euthanasia, decision pattern, personality, empathy, and health status) in the Psychogeriatric Unity of Senhora da Oliveira Hospital in Portugal. The sample was collected by convenience to include patients and controls of the same age. Six months later, a reassessment was performed. Patients and controls were compared using descriptive statistics and a multiple-regression model. Results: A total of 114 patients and 25 controls were included. Eighty-one point six percent of patients had four or fewer years of schooling. Contrary to controls, they presented mild depressive and anxiety symptoms, loneliness feelings, worse cognitive performance, a more fragile personality, higher personal distress, and a poorer health state. No statistically significant differences were found between controls and patients regarding their attitudes towards euthanasia. Patients more favourable to euthanasia had higher empathic concern, conscientiousness, and fantasy, and lower personal distress. Discussion and Conclusion: When addressing euthanasia in these patients, it is crucial to ensure they are fully self-determinate and that all the necessary treatment and support are available. It may not be the case when the educational level is low and a mild disease persists, significantly affecting their well-being and cognitive performance. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to analyse the experience of two participating workplaces in introducing innovative robotically assisted rehabilitation in clinical practice and influencing the quality of life of patients. Methodology/Approach: Online questionnaires were distributed to the rehabilitation staff of the two workplaces, and the Functional independence Measurement (FiM) and Barthel index were measured before the start of rehabilitation and after the completion of rehabilitation. Results showed that the robots were highly effective, easy to use, and significant in achieving the therapeutic goal. Rehabilitation specialists who already have experience in robotic rehabilitation perceive the expected impacts with a higher efficiency of 10% compared to those who do not have experience with robot-assisted therapy. in a selected group of patients, a significant positive effect on the functional status of patients and their quality of life was demonstrated. Research Limitation/Implication: Robotically assisted rehabilitation has a positive effect on functional status and quality of life, motivating rehabilitation workers even when treating patients with severe disabilities. Originality/Value of paper: Data collected are beneficial for health, educational, and social fields. Category: Research paper [ABSTRACT FROM AUTHOR]

Background: Many caregivers are insufficiently prepared, and little is known about measures that can be employed to enhance their preparedness. Aim: The aim of this study was to explore the factors associated with caregiver preparedness and establish a predictive model including the relationship between preparedness, burden, resilience and anxiety. Design: A cross‐sectional design was used. Methods: The sample included 172 family caregivers who were selected from one private hospital and daytime nursing centres. Caregivers were recruited from 2018 to 2019; they completed assessments for caregiver preparedness, anxiety, resilience and burden. A multiple linear regression analysis was performed to identify the factors associated with preparedness. Results: Preparedness was significantly associated with high levels of resilience and a low level of burden, while it was not associated with anxiety. Caregivers' gender, experience and cohabitation status were the main predictors. Resilience is an explanatory factor for caregiver preparedness in the predictive model. Conclusion: The demographic variables related to preparedness can be used to guide efforts to meet the needs of vulnerable caregivers. A caregiver's preparedness depends on their level of burden and resilience. Nursing interventions focused on these aspects could make the caregiver's role easier and improve the quality of care provided. Summary statement: What is already known about this topic? Many caregivers are inadequately prepared for this role, and ensuring adequate preparedness is important for family caregivers.Preparedness and factors predictive of this in Spanish family caregivers have not been well‐documented.Resilience, burden and anxiety affect caregivers, but the degree to which they influence caregivers' preparation levels is unknown. What is the contribution of this paper? Specific factors influence the preparedness of family caregivers. Men and caregivers who do not cohabit in the same household with the care‐dependent person may present greater deficits in preparedness. Moreover, poor health and lack of experience in caring can result in inadequate caregiving performance.Readiness, resilience and burden are significantly related, and the best predictor of family caregivers' preparedness is resilience.Resilience leads to greater preparedness in caregivers, and better‐prepared caregivers experience a lighter burden. What are the implications of this paper? Knowing the factors associated with preparedness in advance will allow health‐care professionals to prevent deficits in vulnerable family caregivers.Resilience is a decisive factor which prevents negative consequences such as low preparedness. A resilient coping style can diminish the burden and promote successful adaptation in caregivers. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to disseminate the results of research aiming to identify the prevalence of dysphagia and related clinical factors in nursing home residents. Design/methodology/approach: A cross-sectional descriptive study was developed, including 99 residents in five nursing homes. A sociodemographic questionnaire and the Gugging Swallowing Screen for dysphagia screening were used for data collection. Findings: The prevalence of dysphagia was 59.59%. A significant correlation was found between dysphagia and worse scores for fall risk, pressure ulcer, level of independence for activities of daily living and cognitive functioning. Research limitations/implications: Results should be interpreted carefully due to sample size and specific country context. A larger sample must be achieved in further research. Practical implications: Nurses must receive proper training to perform systematic dysphagia screening, and it should be considered, given the high prevalence, the inclusion of professionals specially trained for rehabilitating dysphagic residents in nursing home teams. Social implications: The social and economic burden of dysphagia, in addition to all the implications on the person's quality of life, requires a differentiated focus on this issue by nursing home managers. Originality/value: Nursing homes have nurses providing health care; however, trained professionals for dysphagia treatment commonly are not. These results highlight the importance of systematic screening for dysphagia in all residents, thus promoting timely intervention to prevent respiratory and nutritional complications. [ABSTRACT FROM AUTHOR]

This paper explores the effect of precise rehabilitation strategies under the international classification of functioning, disability and health for children and youth (ICF-CY) on the motor function of children with cerebral palsy. Under the framework of ICF-CY, the observation team is designed and evaluated from physical functions, activities and participation, environmental factors, and develops individualized rehabilitation strategies that are tailored to individual characteristics. The control group was assessed by traditional methods and treatment plans and measures were formulated and guided. The course of treatment was 12 months. The scores of GMFM-88, Peabody Motor Development Scale-2concluding fine motor quotient (PDMS-FM), WeeFIM and the ability of daily living (ADL) scale (Barthel index, BI) score were compared before and after treatment. The research shows that precise rehabilitation strategy mode for children with cerebral palsy under the ICF-CY framework can effectively improve the motor function and the ability of daily living (ADL) in children with cerebral palsy. Rehabilitation evaluation and treatment mode of children with cerebral palsy under ICF-CY framework can effectively improve the gross motor function of children with cerebral palsy. Individualized evaluation and analysis and guidance of comprehensive rehabilitation treatment have certain advantages. The overall treatment effect is better than that of traditional rehabilitation evaluation. [ABSTRACT FROM AUTHOR]

Aims: To investigate the change and associated factors of care needs within 6 months post‐discharge in older people with hospital‐associated disability, and the relationship between time‐varying care needs and physical function. Background: Older people with hospital‐associated disability will have various care needs post‐discharge. Understanding their care needs will help to improve their health. However, studies on this population are still limited. Design: A longitudinal study. Methods: The older people who met the inclusion and exclusion criteria were selected in 2 tertiary hospitals in Zhejiang Province, China. The questionnaire survey method was used to collect data about socio‐demographic characteristics, physical function and care needs. The data of 375 older people who completed follow‐up were analysed using logistic regression analysis, generalised estimating equations and generalised additive mixed model. We followed STROBE checklist for reporting the study. Results: The care needs of the older people with hospital‐associated disability declined unevenly, it decreased rapidly in the first three months, and then flattening out. The percentage of people with care needs in each dimension decreased over time, but daily care and rehabilitation needs were consistently more important. Socio‐demographic factors and physical function had different effects on need at different time points, the physical function was the main factor among them. There were non‐linear relationships between the physical function and different care needs with different inflection points. Conclusion: This research revealed change patterns of the care needs of older people with hospital‐associated disability post‐discharge and the non‐linear relationship between physical function and care needs. These findings may help healthcare professionals and caregivers to provide accurate care. Relevance to clinical practice: The findings can be used to identify effective approaches to address the care needs of older people with hospital‐associated disability based on the time of discharge, in conjunction with age, education, and especially physical function, which will promote the justify allocation of nursing resources. What does this paper contribute to the wider global clinical community? [ABSTRACT FROM AUTHOR]

BACKGROUND: Currently, cerebral infarction (CI) is mainly treated by emergency craniotomy or conservative treatment. However, some studies have questioned the functional recovery of patients after hyperbaric oxygen therapy (HBOT)-specialized care. OBJECTIVE: This paper mainly explores the influence of HBOT-specialized care on limb motor function (LMF) and mental state of CI patients with hemiplegia. METHODS: The medical records of 113 CI patients with hemiplegia treated in our hospital from March 2020 to March 2022 were collected. Of these, 53 received routine care nursing (conventional group) and 60 cases were given HBOT-specialized care (research group). Patient general data, scores of Fugl-Meyer Assessment (FMA), National Institutes of Health Stroke Scale (NIHSS), Self-rating Anxiety/Depression Scale (SAS/SDS) and Barthel Index (BI), and nursing efficiency were comparatively analyzed. RESULTS: The two groups showed comparability in general data. FMA and BI scores were increased in the research group after rehabilitation treatment, higher than the baseline and those of the conventional group, while NIHSS, SAS, and SDS scores were reduced, lower compared with baseline and those of the conventional group. In addition, significantly higher nursing efficiency was determined in the research group. CONCLUSION: HBOT-specialized care has beneficial effects on LMF, mental state, negative emotions and self-care ability of CI patients with hemiplegia and can enhance nursing efficacy, which deserves clinical popularization. [ABSTRACT FROM AUTHOR]

Background: Stroke represents the second preventable cause of death after cardiovascular disease and the third global cause of disability. In countries where national registries of the clinical quality of stroke care have been established, the publication and sharing of the collected data have led to an improvement in the quality of care and survival of patients. However, information on rehabilitation processes and outcomes is often lacking, and predictors of functional outcomes remain poorly explored. This paper describes a multicenter study protocol to implement a Stroke rehabilitation Registry, mainly based on a multidimensional assessment proposed by the Italian Society of Physical and Rehabilitation Medicine (PMIC2020), in a pilot Italian cohort of stroke survivors undergoing post-acute inpatient rehabilitation, to provide a systematic assessment of processes and outcomes and develop data-driven prediction models of functional outcomes. Methods: All patients with a diagnosis of ischemic or haemorrhagic stroke confirmed by clinical assessment, admitted to intensive rehabilitation units within 30 days from the acute event, aged 18+, and providing informed consent will be enrolled. Measures will be taken at admission (T0), at discharge (T1), and at follow-up, 3 months (T2) and 6 months (T3) after the stroke. Assessment variables include anamnestic data, clinical and nursing complexity information and measures of body structures and function, activity and participation (PMIC2020), rehabilitation interventions, adverse events and discharge data. The modified Barthel Index will be our primary outcome. In addition to classical biostatistical analysis, learning algorithms will be cross-validated to achieve data-driven prognosis prediction models. Conclusions: This study will test the feasibility of a stroke rehabilitation registry in the Italian health context and provide a systematic assessment of processes and outcomes for quality assessment and benchmarking. By the development of data-driven prediction models in stroke rehabilitation, this study will pave the way for the development of decision support tools for patient-oriented therapy planning and rehabilitation outcomes maximization. [ABSTRACT FROM AUTHOR]

Introduction: In the background of the aging population, an increase of geriatric patients with specific age-related co-morbidities has already been seen over the years for proximal femur fractures in orthopaedic surgery as well as other medical disciplines. However, the geriatric aspect has not been well recognized in periprosthetic joint infection (PJI) patients so far. Therefore, this paper seeks to provide an overview on the co-morbidities of PJI patients with respect to the definition of geriatric patients. Material and methods: In this single-center retrospective study, patients treated between 2007 and 2020 for PJI were included (n = 255). Patients were defined as geriatric according to the consensus definition criteria of the Federal Working Group of Clinical Geriatric Facilities e.V., the German Society for Geriatrics e.V. and the German Society for Gerontology and Geriatrics e.V. based on age (≤70 years), geriatric multimorbidity and the Barthel index (≤30). Results: Applying the criteria defined 184 of the 255 (72.2%) PJI patients as geriatric infection patients. Regarding geriatric comorbidity, incontinence was most prevalent (38.1%), followed by immobility (25.6%). Comparing the geriatric infection patients with those classified as non-geriatric (n = 71) revealed that geriatric patients had a longer hospital stay and spent more days in the intensive care unit (ICU). Also, the amputation rate and the 5-year mortality rate was significantly increased (n = 15, 8.2% vs n = 1, 1.4%, P =.007 and n = 24, 13.0% vs n = 5, 7.0%, P =.005). The Barthel index showed a significant correlation with mortality (r = −.22, P =.011). Discussion: We propose to use the term orthogeriatric infection patients in those cases in order to focus treatment not only on the orthopaedic infections but also on the important geriatric aspects. Conclusion: The inclusion of geriatric physicians into the multidisciplinary team approach for PJI patients might be beneficial. [ABSTRACT FROM AUTHOR]

Background and Objectives: Many residency programs provide alcohol and drug screening, brief intervention (BI), and referral to treatment (SBIRT) training, hoping to impact residents' future practice activities. Little is known about postresidency use of these skills. This study assesses postresidency impact of SBIRT training.Methods: Over 3 years, physicians who participated in SBIRT training in four residency programs were recruited for follow-up. Participants chose between a paper and online questionnaire 12-24 months after graduation; participants received $20 gift cards. We first analyzed postresidency responses only (n=74), then compared pre- and posttraining results of those completing both surveys (n=50).Results: Of 182 enrolled graduates, 74 (41%) completed questionnaires. In paired comparisons to their pretraining responses, graduates increased endorsement of statements that BIs can reduce risky use and reduced endorsement of statements that they do not have adequate training or time to address patients' alcohol use, or that discussing alcohol use with patients is uncomfortable. While most barriers to providing interventions were endorsed less frequently by SBIRT-trained clinicians in postresidency surveys, ongoing concerns included poor reimbursement, little time, low success rates, and some discomfort with interventions. Seventy percent of graduates felt motivational interviewing techniques created stronger doctor-patient relationships; 16% reported colleagues in their practices had increased SBIRT activities after they joined the practice.Conclusions: SBIRT trainees reported high levels of SBIRT activity 12-24 months after graduation and increased SBIRT activities by their colleagues. While some barriers remain, residency training appears to be a promising approach for disseminating SBIRT into clinical practice. [ABSTRACT FROM AUTHOR]

Purpose: Prescriptive and predictive analytics and artificial intelligence (AI) provide tools to analyze data with objectivity. In this paper, we provide an overview of how these techniques can improve nursing care, and we detail a quantitative model to afford managerial insights about care management in a Hospital in Colombia. Our main purpose is to provide tools to improve key performance indicators for the care management of inpatients which includes the nurse workload. Methods: The optimal nurse‐to‐patient assignment problem is addressed using analytics, lean health care, and AI. Also, we propose a new mathematical model to optimize the nurse‐to‐patient assignment decisions considering several variables about the patient state such as the Barthel index, their risks, the complexity of the care, and the mental state. Findings: Our results show that there are several processes inherent to compassionate nursing care that can be improved using technology. By using data analytics, we can also provide insights about the high variability of the care requirements and, by using models, find nurse‐to‐patient assignments that are nearly perfectly balanced. Conclusions: We illustrated this improvement with a pilot test that makes the equitable distribution of nursing workload the functionality of this strategy. The findings can be useful in highly complex hospitals in Latin America. Clinical Relevance: The proposed model presents an opportunity to make near perfectly balanced nurse‐to‐patient assignments according to the number of patients and their health conditions using technology. [ABSTRACT FROM AUTHOR]

The effective and efficient operation of public healthcare systems is more and more important as a consequence of the increasing amount of money spent on their operation. For this reason, accurate and science-based efficiency information is needed for managers and healthcare policy makers. The evaluation of the efficiency in this sector is particularly difficult because several measures and indicators are used. Data envelopment analysis (DEA) can provide aggregate and overall measures of efficiency. The purpose of this paper is the examination of the efficiency of in-patient rehabilitation units curing musculoskeletal disorders in Hungary. The research presented focuses on rehabilitation units which attend to patients recovering from stroke or other acquired brain injuries. Output-oriented, slack-based DEA models are applied for the evaluation of in-patient rehabilitation units using data of a national survey. The novelty of the method presented is the consideration of the change in patients' functional status when efficiency is evaluated using DEA. [ABSTRACT FROM AUTHOR]

Introduction: Hip fracture is particularly seen in elderly patients with frailty and osteoporosis and leads to diminished functional independence and quality of life. Despite the susceptibility of these patients to a second hip fracture (SHF), the literature insufficiently discussed its impact leading to poor outcomes. This study aims to directly assess the outcomes of elderly patients with initial hip fractures (IHF) vs those experiencing an SHF within a well-matched group with similar characteristics. Materials and Methods: This case–control study gathered data from the clinical hip fracture registry at a medical center from 2019 to 2022. Patients with SHF were matched with those with IHF in a 1:2 ratio according to the similarity of age, sex, and Charlson Comorbidity Index classification. Demographics at admission, baseline characteristics, and 1-year postoperative outcome were compared between the SHF and IHF groups. Results: Thirty-two SHF patients were matched with 64 IHF patients (81.25% of women, median age of 86 years). Anthropometric measurements and socioeconomic factors were not significantly different between the two groups. No differences in baseline characteristics were observed, except IHF patients had a significantly lower T-score than SHF patients (−3.98 vs. −3.31, P = 0.016). At one-year follow-up, despite a notable decrease in Barthel Index scores and an uptick in EQ-5D measures among the patients, the IHF and SHF groups demonstrated similar quality of life and a high level of activities of daily living. Discussions: In this case-control study, after matching for age, sex, and comorbidities, an SHF did not indicate poorer outcomes than an IHF, providing a more optimistic outlook for the patients and healthcare providers. Conclusion: Despite the significant challenges presented by hip fracture, the one-year postoperative outcomes did not differ between IHF and SHF patients, suggesting that SHF is not an independent predictor of poor outcomes following hip fracture in the elderly population. [ABSTRACT FROM AUTHOR]

The impact of non-motor symptoms is often overlooked in favour of the motor symptoms when managing Parkinson's disease resulting in suboptimal patient outcomes. This study aimed to characterise the non-motor symptoms of Parkinson's disease in a cohort of Sri Lankan patients with a special focus on the impulsive control disorders and other compulsive behaviours (ICDs-CB) that had not been previously studied in this population. All patients with idiopathic Parkinson's disease followed up at the National Hospital of Colombo, Sri Lanka were included. The presence or absence of non-motor symptoms and their perceived impact was recorded with an interviewer administered questionnaire. Symptoms of anxiety and depression were assessed with Hamilton Anxiety and Depression scales. Presence of ICDs-CB was assessed with the questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease. Of 192 patients 97% (186) reported at least 2 non-motor symptoms. About 83% (160/192) screened positive for anxiety, 40% (76/192) for depression, and 17% (32/192) for an ICDs-CB. A lower Barthel index, history of past psychiatric disorders and family history of alcohol abuse were independent predictors of ICDs-DB. Managing both motor and non-motor symptoms are important to preserve the quality of life of patients with Parkinson's disease. They should be screened for symptoms for anxiety and depression regularly during follow up and educated about the possibility of ICDs-CB soon after diagnosis. [ABSTRACT FROM AUTHOR]

The lack of preparation among carers in providing care for survivors of stroke leads to increased caregiver burden and depression. Studies on trajectory-based support addressing phase-specific needs for essential knowledge and skills to support caregiving preparedness are limited. This randomized controlled trial involved eighty participants from a Chinese tertiary hospital, randomly assigned to an experimental or control group (n = 40 each). The experimental participants received the 9-weeks of five sessions that included informational, emotional, instrumental, and appraisal support combined with trajectory-based support conducted via the WeChat platform. The control group received only usual care. Caregiver burden and depression were assessed at pre-test before the intervention and post-test at the end of the program. Instruments used to collect the data were a demographic questionnaire, the Chinese version of the Zarit Burden Interview, and the Chinese version of the Patient Health Questionnaire-9. Data were analyzed using descriptive statistics, paired and independent t-tests, Mann-Whitney U test, and Wilcoxon Signed Ranks Test. The results indicated that after the program, the experimental group had significantly lower mean scores of caregiver burden and depression compared to before the program and the control group. However, no statistical differences were observed in the control group between pre- and post-test depression scores. These findings suggest that enhancing care preparedness through the trajectory-based support program reduces caregiver burden and depression among carers of people with stroke in China. Therefore, nurses can utilize trajectory-based support via WeChat to alleviate caregiver burden and depression in this population. However, further testing in other settings is necessary before widespread implementation. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study is to explore the feasibility of using machine learning approaches to objectively differentiate the mobilization patterns, measured via accelerometer sensors, of patients pre- and post-intervention. Methods: The intervention tested the implementation of a Frailty Care Bundle to improve mobilization, nutrition and cognition in older orthopedic patients. The study recruited 120 participants, a sub-group analysis was undertaken on 113 patients with accelerometer data (57 pre-intervention and 56 post-intervention), the median age was 78 years and the majority were female. Physical activity data from an ankle-worn accelerometer (StepWatch 4) was collected for each patient during their hospital stay. These data contained daily aggregated gait variables. Data preprocessing included the standardization of step counts and feature computation. Subsequently, a binary classification model was trained. A systematic hyperparameter optimization approach was applied, and feature selection was performed. Two classifier models, logistic regression and Random Forest, were investigated and Shapley values were used to explain model predictions. Results: The Random Forest classifier demonstrated an average balanced accuracy of 82.3% (± 1.7%) during training and 74.7% (± 8.2%) for the test set. In comparison, the logistic regression classifier achieved a training accuracy of 79.7% (± 1.9%) and a test accuracy of 77.6% (± 5.5%). The logistic regression model demonstrated less overfitting compared to the Random Forest model and better performance on the hold-out test set. Stride length was consistently chosen as a key feature in all iterations for both models, along with features related to stride velocity, gait speed, and Lyapunov exponent, indicating their significance in the classification. Conclusion: The best performing classifier was able to distinguish between patients pre- and post-intervention with greater than 75% accuracy. The intervention showed a correlation with higher gait speed and reduced stride length. However, the question of whether these alterations are part of an adaptive process that leads to improved outcomes over time remains. [ABSTRACT FROM AUTHOR]

Background: For patients with sepsis receiving non-invasive ventilation (NIV), early rehabilitation is crucial. The Sitting Baduanjin (SBE) is an efficient early rehabilitation exercise suitable for bed patients. There is no consensus about the effect of SBE on the early rehabilitation of septic patients with NIV. This study focused on how the SBE affected the early rehabilitation of sepsis patients with NIV. Methods: 96 sepsis patients with NIV were randomly assigned to either an Baduanjin group that received the SBE based on the routine rehabilitation exercise (n = 48) or a control group (n = 48) that received routine rehabilitation exercise. The primary outcome was the Medical Research Council(MRC)score, and the Barthel Index score, the duration of NIV, length of ICU stay, length of total stay, hospitalization expense as secondary outcomes. Results: A total of 245 sepsis patients were screened, with 96 randomly assigned. The study was completed by 90 patients out of the 96 participants.Results revealed that the MRC score increased in both groups, but the improvement of muscle strength in Baduanjin group was more obvious, with statistical significance (p < 0.001).There was statistically significantly difference between the two groups in Barthel Index at the day of transfer out of ICU(P = 0.028).The patients in the Baduanjin group had an average reduction of 24.09 h in the duration of NIV and 3.35 days in total length of hospital stay compared with the control group (p < 0.05).Of note, the Baduanjin group had significantly reduction the total hospitalization expense. No serious adverse events occurred during the intervention period. Conclusions: In patients with sepsis, the SBE appears to improve muscle strength and activities of daily living (ADL), and lowed the duration of NIV, the length of the total stay, and the hospitalization expense. Trial registration: The study registered on the Chinese Clinical Trial Registry (www.chictr.org.cn), Clinical Trials identifier ChiCTR1800015011 (28/02/2018). [ABSTRACT FROM AUTHOR]

Heart transplantation is the gold-standard treatment for terminal heart failure. Despite being successful, pre- and post-transplant limitations interfere with patients' functional capacity, self-care, and quality of life post-surgery. Rehabilitation is necessary to address these limitations, prevent complications, and promote a safe return home. This study analyzes the safety of a phase 1 cardiac rehabilitation protocol (RN4HTx) in heart transplant patients and its effects on self-care capacity. A quantitative, descriptive study was conducted with 19 heart transplant recipients. The protocol was implemented in collaboration with a rehabilitation professional, who monitored adverse events, hemodynamic variables, self-care capacity (Barthel) pre- and post-transplant, and functional capacity at discharge (6 min walk test). The results showed that 68.42% of recipients were men, with an average age of 50.21 years and 15 days of hospitalization post-transplant. Approximately 73.68% of recipients were transferred from other wards with changes in functional capacity. All patients progressed to the final stage of the program without adverse events. There was a notable improvement in self-care capacity before and after transplantation, with a measure of functional status of 310.035 m (6MWT). The study found that RN4HTx is a feasible cardiac rehabilitation program without adverse events in the immediate postoperative period following heart transplantation, positively impacting functional recovery and therapeutic self-care capacity, thus increasing the safety of returning home. This study was retrospectively registered on Clinical Trials—NCT06552390. [ABSTRACT FROM AUTHOR]

Background:With the high consumption of medications due to multimorbidity, understanding the quality of drug use for vulnerable nursing home residents is essential. The paper's aim is to investigate the association of potentially inappropriate medication use based on Beers criteria and specific potentially inappropriate medication groups with unplanned hospitalization in nursing home residents. Methods: This retrospective cohort study consisted of 234 newly admitted consecutive residents aged 65 years and older to one highly accredited nursing home. Cox proportionally hazards regression using stepwise forward method was used to compute hazard ratios and 95% confidence intervals for the association between medication use and time to first hospitalization. Results: Out of a total of 234 subjects, 56% of the residents had been hospitalized at least once within one year of nursing home admission. Sixty-four percent of the residents were taking at least one potentially inappropriatemedication. When accounting for both polypharmacy and potentially inappropriate medication factors, use of two or more potentially inappropriate medications was significantly associated with an increase in hospitalization (HR 2.110, 95% CI 1.358-3.278, p = 0.001). Several combinations of potentially inappropriate medications involving anticholinergic agent were associated with a higher risk of hospitalization in certain subgroups. Further study with a larger representative study sample is warranted to confirm these findings. Conclusion: Routine medication review for potentially inappropriate medications should be performed for all nursing home resident at admission. Special attention should be paid to residents with use of two or more potentially inappropriate medications due to association with higher hospitalization risk. [ABSTRACT FROM AUTHOR]

The economy of contemporary society is developing rapidly and the society is making continuous progress. The population is aging and diet structure is also adjusted. Acute cerebral infarction(ACI) in the elderly has become a common disease that seriously threatens the health of the elderly. Therefore, research on nursing of senile ACI is of great significance. Nursing is essential in the thrombolytic therapy of cerebral infarction. This article aims to study the process design of intravenous thrombolytic nursing for elderly patients with ACI and the conclusions are as follows: the nursing process has a good nursing effect. This increased the Barthel index of elderly patients with ACI after intravenous thrombolysis care by 15.8 compared with that before care. Compared with the traditional nursing mode, the nursing course and cost are significantly reduced. [ABSTRACT FROM AUTHOR]

Objective. To develop a deep learning-assisted recovery and nursing system after total hip arthroplasty and to conduct clinical trials in order to verify its accuracy. Methods. In our study, based on manual labeling, the human hip X-ray image library was established, and the deep neural network based on Mask R-CNN was built. The labeled medical images were used to train the model, providing reference for nursing decision after hip replacement. A total of 80 patients with hip injury from 2016 to 2019 were selected for the study. In our paper, the patients were divided into experimental group and control group. The pertinence and effectiveness of the model for postoperative care were evaluated by comparing the hip pain (VAS index), recovery (Harris score), self-care ability (Barthel index), and postoperative complication rate between the two groups. Results. The pain and complications in the experimental group were significantly lower than those in the control group, the difference being statistically significant (P < 0.05); the recovery of hip joint and self-care ability were higher than those in the control group, the difference being statistically significant (P < 0.05); the other differences were not statistically significant (P > 0.05). Conclusion. The application of deep learning method in the rapid nursing after total hip replacement can significantly improve the nursing ability. Compared with the traditional method, it has stronger pertinence, faster postoperative recovery, lower incidence of complications, and greatly improves the postoperative quality of life of patients with hip injury. [ABSTRACT FROM AUTHOR]

Introduction: Post-stroke depression (PSD) is an emotional disease characterized by loss of interest and depression after a stroke. Acupuncture, one of the most critical non-drug therapies for the treatment of PSD, has significant clinical efficacy, but the mechanism is not fully understood. Previous study has shown that acupuncture can reduce the level of proinflammatory cytokines and increase the level of anti-inflammatory cytokines, suggesting that regulating the dynamic balance of inflammatory cytokines may be the basis for acupuncture to improve PSD symptoms. Methods and analysis: A total of 84 patients with PSD will be recruited and randomly assigned to one of two groups at a 1:1 ratio. Based on the conventional stroke treatment, the control group will receive XingnaoKaiqiao (XNKQ) acupuncture, and the experimental group will receive antidepressant acupuncture at the same time as XNKQ acupuncture. The intervention will last four weeks, and data will be collected before and after treatment. The Hamilton depression scale (HAMD-17) is the primary outcome measure, and the secondary outcome measures include the Self-rating Depression Scale (SDS), the National Institute of Health stroke scale (NIHSS), and the Modified Barthel Index (MBI). Serum IL-1β, IL-4, 5-HT, and BDNF will be used as laboratory indicators. The scales will be assessed at baseline, two weeks, and four weeks, and serum items will be measured at baseline and four weeks after treatment. This study will observe the clinical effect of acupuncture on PSD and the changes in serum-related inflammatory cytokines and explore the possible mechanism of acupuncture against depression from the perspective of inflammatory response. Ethics and dissemination: This study protocol was approved by the Medical Ethics Committee of the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (item number: TYLL2023[Z]004). Findings of the trial will be disseminated through peer-reviewed journals and scientific conferences. [ABSTRACT FROM AUTHOR]

Background: Occupational therapy (OT) is an effective evidence-based intervention that positively influences stroke patients'independence recovery, leading to new opportunities for better quality of life outcomes. Objectives: To explore the effectiveness of an early OT intervention program (EOTIPS) in the process of hospital to home discharge after stroke in Spain. Material and methods: We conducted a prospective, randomized controlled clinical trial that included 60 adults who suffered a stroke and were discharged home. Participants assigned to the experimental group (n = 30) were included in EOTIPS and compared with a control group (n = 30). Evaluations assessed quality of life (Stroke and Aphasia Quality of Life Scale [SAQOL-39]), functional independence (Modified Rankin Scale [mRS], Barthel Index [BI] and Stroke Impact Scale-16 [SIS-16]), perceptual-cognitive skills (Montreal Cognitive Assessment [MoCA]), upper limb function (Fugl Meyer Assessment [FMA]), mobility (Berg Balance Scale [BBS] and Timed Up & Go [TUG]), communication skills (Communicative Activity Log [CAL]) and mood disorders (Beck Depression Inventory–II [BDI-II] and Hamilton Anxiety Scale [HAM-A]); they were completed within two weeks post-stroke and after three months follow-up. Statistical analysis included intent-to-treat analysis, considering all participants (dropouts as failures), and efficacy analysis, considering only end-of-treatment participants. Results: Participants in the intervention group showed a significant better evolution in the main outcome measure of quality of life (SAQOL-39 p =.029), as well as for independence (mRSp =.004), perceptual-cognitive skills (MoCA p =.012)and symptoms of depression (BDI-II p =.011) compared to the control group. Conclusions: EOTIPS was effective in improving quality of life, as well as enhancing perceptual-cognitive skills, independence and reducing levels of depression for patients who suffered a stroke in a Spanish cohort and could be considered as an applicable non-pharmacologic therapeutic tool that can lead to patients' positive outcomes after stroke. This study was registered on ClinicalTrials.gov with the identifier NCT04835363. [ABSTRACT FROM AUTHOR]

Background: Delirium is a prevalent yet underdiagnosed disorder characterized by acute cognitive impairment. Various screening tools are available, including the Confusion Assessment Method (CAM) and 4 A's test (4AT). However, the results of these assessments may vary among raters. Therefore, we investigated the objective use of electroencephalography (EEG) in delirium and its clinical associations and predictive value. Method: This cross-sectional observational study was conducted at Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan, Malaysia, from April 2021 to April 2023. This study included patients aged ≥18 years with a preliminary diagnosis of delirium. Demographic and clinical data were collected along with EEG recordings evaluated by certified neurologists to classify abnormalities and compare the associated factors between patients with delirium with or without EEG abnormalities. Results: One hundred and twenty patients were recruited, with 80.0% displaying EEG abnormalities, mostly generalized slowing (moderate to severe) and primarily generalized slowing (mild to severe), and were characterized by theta activity. Age was significantly associated with EEG abnormalities, with patients aged 75 and older demonstrating the highest incidence (88.2%). The CAM scores were strongly correlated with EEG abnormalities (r = 0.639, P < 0.001) and was a predictor of EEG abnormalities (P < 0.012), indicating that EEG can complement clinical assessments for delirium. The Richmond Agitation and Sedation Scale (RASS) scores (r = −0.452, P < 0.001) and Barthel index (BI) (r = −0.582, P < 0.001) were negatively correlated with EEG abnormalities. Additionally, a longer hospitalization duration was associated with EEG abnormalities (r = 0.250, P = 0.006) and emerged as a predictor of such changes (P = 0.030). Conclusion: EEG abnormalities are prevalent in patients with delirium, particularly in elderly patients. CAM scores and the duration of hospitalization are valuable predictors of EEG abnormalities. EEG can be an objective tool for enhancing delirium diagnosis and prognosis, thereby facilitating timely interventions. Plain Language Summary: Why was the study done? Confusion is frequently observed among patients presenting with various medical issues. There are several tests available to assist in assessment of these patients to see if the symptoms present constitute delirium. However, there may be occasions where identifying delirium is difficult despite the tools available. Electroencephalography (EEG) may be another option to assist medical personnel in diagnosing delirium. In this study, we examine the use of EEG in identification of delirium and its clinical associations. What did the researchers do? Our team studied the use of EEG in patients admitted for various medical issues with symptoms suggestive of delirium over a 2-year period. We collected relevant clinical data and performed EEG for each participant. What did the researchers find? A total of 120 participants were involved in the study. We observe abnormal EEG findings in 80% of patients with the majority showing generalized slowing. The factors associated with EEG abnormalities are advancing age, positive Confusion Assessment Method (CAM), and duration of hospitalization. What do the findings mean? As the service is not widely available, it would not be practical to substitute existing clinical assessment tools with EEG. However, we cannot discount the importance of identifying delirium due to its association with poor clinical outcomes. Therefore, for centers that may perform EEG, it may be used as an adjunct in diagnosing delirium should any doubts arise. [ABSTRACT FROM AUTHOR]

Background: Cancer is a leading cause of morbidity and mortality globally. Dyspnea, affecting up to 60% of cancer patients, exacerbates physical and psychological distress, reducing quality of life. This study aims to explore the relationship between dyspnea and factors such as age, sex, clinical diagnosis, and treatment lines in cancer patients, with the goal of improving understanding and management of this debilitating symptom to enhance patient care and quality of life. Methods: This study employed an observational, cross-sectional, and descriptive approach to investigate patients with oncological disease at the University Hospital of Salamanca between March 2021 and April 2024. A convenience sample was selected, including patients over 18 years old with a pathological diagnosis of cancer, experiencing any degree of dyspnea, and who consented to participate by signing the informed consent. Exclusion criteria included lack of consent and clinical conditions that prevented an interview. The studied variables encompass sociodemographic (age, gender, diagnosis, tumor stage, number of treatment lines) and clinical aspects (daily activities, degree of dyspnea, functional capacity, physical performance), evaluated using the Barthel Index, the mMRC Dyspnea Scale, the ECOG Scale, and the Short Physical Performance Battery (SPPB). Data were collected through semistructured interviews and medical records, and analyzed using specialized software. This research has ethical approval CEiM Code 2023 12 1472, Reference 2024/01. Results: The mean age was 66.82 years. Lung cancer was predominant (60.2%), with most patients in stage 3 (65.7%) and receiving three treatment lines (68.7%). Higher age, advanced disease stage, and more treatment lines correlated with lower Barthel and SPPB scores, and higher ECOG and mMRC scores, indicating worse functionality, physical performance, and greater dyspnea. No significant correlations were found between gender or pathological diagnosis and the studied variables. Conclusions: Advanced age, higher disease stage, and more treatment lines are associated with decreased functionality, poorer physical performance, and increased dyspnea in cancer patients. Gender and specific cancer diagnosis do not significantly affect these relationships. Addressing dyspnea is crucial to improving the quality of life and physical performance in this population. Future studies should explore additional factors like treatment types and nutritional status. [ABSTRACT FROM AUTHOR]

Background: Traditional meta-analysis offers only direct comparative evidence. The optimal cognitive training for poststroke cognitive impairment (PSCI) remains largely undetermined. Objectives: This study aims to assess and compare the effectiveness of selected cognitive training methods for PSCI patients and to identify and rank the most effective intervention programs. Methods: Searches were conducted in PubMed, Embase, Cochrane Library, Web of science, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Database, and China Biomedical Database for randomized controlled trials up to September 30, 2023. Two researchers independently performed literature screening, data extraction, and quality assessment. Network meta-analysis was utilized to synthesize the main findings. The primary outcome focused on the intervention's impact on subjective cognitive function, with secondary outcomes including effects on activities of daily living, motor function, and functional independence. This study is registered with PROSPERO (CRD42023463282). Results: Fifty eligible randomized controlled trials were identified, revealing eight distinct interventions. These interventions collectively demonstrate efficacy in enhancing cognition. Traditional cognitive training significantly improves overall cognitive function, daily living function, motor function, and functional independence. In Loewenstein Occupational Therapy Cognitive Assessment, Barthel Index, Fugl-Meyer Assessment, and Functional Independence Measure scales, a combination of computer-based and traditional cognitive training outperformed the conventional control group MD = 29.97 (95%CI: 16.3, 44.2), MD = 18.67 (95%CI: 9.78, 27.45), MD = 28.76 (95%CI: 5.46, 51.79) and MD = 42.2 (95%CI: 5.25, 78.99). In the MMSE scale, virtual reality cognitive training combined with traditional training was most effective MD = 8.01 (95%CI: 3.6, 12.4). On the MoCA scale, the combination of exercise and cognitive training showed superior results MD = 6.68 (95%CI: 2.55, 10.78). Only the combined computer-based and traditional cognitive training, as well as traditional cognitive training alone, significantly enhanced functional independence, with no notable differences in other pairwise interventions. Conclusion: The network meta-analysis suggests that augmenting traditional training with other modalities may enhance overall effectiveness. Specifically, interventions incorporating computer-based cognitive training appear to surpass other methods in improving cognition, daily living function, motor skills, and functional independence. The findings of this network meta-analysis provide evidence-based guidance for clinical decision-making. [ABSTRACT FROM AUTHOR]

Motor impairment is a common issue in stroke patients, often affecting the upper limbs. To this standpoint, robotic neurorehabilitation has shown to be highly effective for motor function recovery. Notably, Machine learning (ML) may be a powerful technique able to identify the optimal kind and intensity of rehabilitation treatments to maximize the outcomes. This retrospective observational research aims to assess the efficacy of robotic devices in facilitating the functional rehabilitation of upper limbs in stroke patients through ML models. Specifically, clinical scales, such as the Fugl-Meyer Assessment (A-D) (FMA), the Frenchay Arm Test (FAT), and the Barthel Index (BI), were used to assess the patients' condition before and after robotic therapy. The values of these scales were predicted based on the patients' clinical and demographic data obtained before the treatment. The findings showed that ML models have high accuracy in predicting the FMA, FAT, and BI, with R-squared (R2) values of 0.79, 0.57, and 0.74, respectively. The findings of this study suggest that integrating ML into robotic therapy may have the capacity to establish a personalized and streamlined clinical practice, leading to significant improvements in patients' quality of life and the long-term sustainability of the healthcare system. [ABSTRACT FROM AUTHOR]

Background/aim: Efficient discharge for stroke patients is crucial but challenging. The study aimed to develop early predictive models to explore which patient characteristics and variables significantly influence the discharge planning of patients, based on the data available within 24 h of admission. Design: Prospective observational study. Methods: A prospective cohort was conducted at a university hospital with 523 patients hospitalised for stroke. We built and trained six different machine learning (ML) models, followed by testing and tuning those models to find the best‐suited predictor for discharge disposition, dichotomized into home and non‐home. To evaluate the accuracy, reliability and interpretability of the best‐performing models, we identified and analysed the features that had the greatest impact on the predictions. Results: In total, 523 patients met the inclusion criteria, with a mean age of 61 years. Of the patients with stroke, 30.01% had non‐home discharge. Our model predicting non‐home discharge achieved an area under the receiver operating characteristic curve of 0.95 and a precision of 0.776. After threshold was moved, the model had a recall of 0.809. Top 10 variables by importance were National Institutes of Health Stroke Scale (NIHSS) score, family income, Barthel index (BI) score, FRAIL score, fall risk, pressure injury risk, feeding method, depression, age and dysphagia. Conclusion: The ML model identified higher NIHSS, BI, and FRAIL, family income, higher fall risk, pressure injury risk, older age, tube feeding, depression and dysphagia as the top 10 strongest risk predictors in identifying patients who required non‐home discharge to higher levels of care. Modern ML techniques can support timely and appropriate clinical decision‐making. Relevance to Clinical Practice: This study illustrates the characteristics and risk factors of non‐home discharge in patients with stroke, potentially contributing to the improvement of the discharge process. Reporting Method: STROBE guidelines. [ABSTRACT FROM AUTHOR]

Background: Hip fracture (HF) in older adults is strongly associated with a greater decline in their activities of daily living (ADLs) and health-related (HRQoL). The present study aimed to evaluate the effects of a family-based care transition program (FBCTP) on ADLs, HRQoL and social support in this age group after HF surgery. Methods: A quasi-experimental design was conducted on 100 older adults who had undergone HFS and were selected by convenience sampling and allocated to the IG (n = 50) and the CG (n = 50). Data were collected utilizing the Barthel Index, the 12-item Short Form Health Survey (SF-12), and the Multidimensional Scale of Perceived Social Support. The FBCTP was delivered in-hospital education sessions, home visit, and a follow-up and telephone counselling session. The data were collected at three stages, including the baseline, four weeks after discharge, and eight weeks later. The level of statistical significance was set at 0.05. Results: The results of the study indicated that the effects of time and group on the increase in ADLs were 15.2 and 36.69 (p < 0.000), respectively, following the completion of the FBCTP. Furthermore, time and group were found to have a positive effect on HRQoL, with an increase of 2.82 and 5.60 units, respectively (p < 0.000). In this context, time and group also interacted in the IG compared to the CG, with scores increasing by 1.86 units over time (p < 0.000). Although the study results indicated that social support improved by 1.98 units over time (p < 0.000), the effects of group alone and the time × group interaction were not statistically significant. This indicates that the program was not effective in accelerating social support. Conclusion: Consequently, nurses, policymakers, and planners engaged in geriatric healthcare may utilize these results to enhance the health status of this age group following HFS. [ABSTRACT FROM AUTHOR]

Stroke survivors often face diverse unmet needs highlighting the significance of identifying and addressing these needs to enhance rehabilitation outcomes and overall quality of life. This study aimed to validate the modified Needs Assessment Questionnaire (mNAQ) as a reliable and valid tool for assessing the needs of stroke patients in the Greek context. Additionally the research sought to identify potential differences in the assessment of stroke patients' needs based on their stroke phase and National Institutes of Health Stroke Scale (NIHSS) scores. A sample of 71 adult stroke survivors adhering to World Health Organization guidelines and providing autonomous consent participated in the study. The mNAQ comprising 141 items across 12 domains was utilized to evaluate stroke patients' needs. The NIHSS and Barthel Index (BI) were employed for functional independence and mobility assessment. Data analysis incorporated confirmatory factor analysis, exploratory factor analysis and Cronbach's reliability analysis to establish construct validity and internal consistency. Concurrent and known-groups validity analyses were conducted; and Spearman's rho correlation explored the relationship between mNAQ and BI scores. Non-parametric analyses were applied to identify differences based on stroke phase and NIHSS scores. The study revealed that the mNAQ initially lacked satisfactory psychometric properties in the Greek context. Subsequent modifications guided by confirmatory and exploratory factor analyses resulted in a refined three-factor scale encompassing 31 items in the domains of communication, mobility, and social functioning needs. This adapted measure effectively differentiated between acute and chronic stroke patients and those with minor and moderate strokes. In conclusion, the validated 31-item Greek mNAQ emerges as a crucial tool for comprehensively assessing the needs of stroke patients. Its application holds promise for optimizing post-stroke care improving functional outcomes and ultimately enhancing the overall well-being and quality of life for stroke survivors. [ABSTRACT FROM AUTHOR]

Background: Ischemic stroke is a serious and sudden cerebrovascular condition that significantly affects individual’s health and imposes a substantial economic burden on medical management. Despite its widespread use in China, there is still a lack of reliable evidence regarding the efficacy of Shenmai injection (SMI) in acute ischemic stroke (AIS). We aimed to comprehensively assess the effectiveness and safety of SMI in treating AIS through a systematic review and meta-analysis. Methods: Randomized controlled studies (RCTs) investigating the efficacy of SMI in treating AIS were searched for in eight databases from the inception of each database till January 2024. We utilized the ROB 2.0 to assess the risk of bias. A meta-analysis was conducted using Review Manager 5.4, while sensitivity analyses and publication bias assessments were conducted using Stata 16.1. Results: A total of 17 studies involving 1,603 AIS patients were included in our meta-analysis. Our results showed that SMI plus conventional treatments (CTs) was more effective than CTs alone in improving the total effective rate (RR 1.22, 95% CI: 1.14 to 1.30, p < 0.00001), the Barthel index (BI) (MD 12.18, 95% CI: 10.30 to 14.06, p < 0.00001), and reducing the National Institute of Health Stroke Scale Score (NIHSS) score (MD -3.05, 95% CI: 3.85 to −2.24, p < 0.00001) and Modified Rankin Scale (mRS) (MD -0.68, 95% CI: 0.86 to-0.49, p < 0.00001). In addition, SMI combination therapy was better than CTs alone in decreasing the levels of IL-6, IL-18, and hs-CRP. SMI therapy also enhanced the cerebral hemorheology of patients by reducing levels of fibrinogen and plasma viscosity. However, there was no significant difference in the incidence of adverse events, including elevated transaminase, rash, nausea, bleeding, urticaria, headache, vomiting, chest tightness, and facial flushes. Moreover, no serious adverse effects or life-threatening events were reported. Conclusion: Our study shows that combining SMI with CTs effectively enhances the neurological function of patients with acute cerebral infarction. However, our findings should be interpreted considering the significant heterogeneity and suboptimal quality of the analyzed trials. [ABSTRACT FROM AUTHOR]

The estimation of the Barthel Index scale (BI) is a significant method for measuring the performance of Activities Daily Living (ADL), where the prediction of ADL is crucial for providing rehabilitation care management and recovery for patients after stroke, therefore in this paper, nine various Machine Learning (ML) algorithms were implemented in a medical dataset contains 776 records from 313 patients 208 of them are men: 208 and 150 are women with multiple features collected from them for predicting and classifying the BI status as clinical decision support for determining the ADL of post-stroke patients. Meanwhile, we have applied feature selection using the chi-squared test to reduce the number of features in the dataset. The results showed that the Decision Tree (DT), XGBoost (XGB), and AdaBoost (ADB) classifiers performed the highest performance achieved with 100% correctness in terms of accuracy, sensitivity, specificity, error, and Area Under Curve (AUC) on both the full and reduced features datasets. [ABSTRACT FROM AUTHOR]

Background: The Nursing Care Continuity Report (NCCR) is a tool for evaluating the quality of nursing care during hospital admission. Aim: To explore the role of the NCCR in predicting longer length of stay (LOS) in older adults (≥65 years) admitted to a tertiary hospital and determine possible clinical differences at discharge between patients who had a short LOS (≤7 days) and a prolonged LOS (>7 days). Research Design and Setting: A retrospective cohort study was conducted including all patients with a completed NCCR admitted to the hospital between 2015 and 2019. Sociodemographic data, risk of pressure injuries, level of dependence, presence and intensity of pain, and presence and type of pressure injury were the variables registered in the NCCR. Results: A total of 41,354 patients were included in this study, with a mean age of 78 years, of whom 47% were female. At admission, 21% of patients were at potential risk of developing pressure ulcers. Age, admission to the internal or respiratory medicine unit, and having at least medium risk of developing pressure ulcers were the predictors of prolonged LOS using a random sample of 950 patients. At discharge, patients with prolonged LOS presented higher risk of pressure ulcers and a higher level of dependency and were more likely to present hospital‐acquired pressure ulcers. Conclusions: Older adults from the internal or respiratory medicine unit who exhibited higher risk of pressure ulcers were related to a prolonged LOS, a higher level of dependency, and hospital‐acquired ulcers at hospital discharge. Relevance to Clinical Practice: Identifying clinical data that have a greater relationship with LOS could be a useful tool for nursing management and for the implementation of strategies to prevent adverse events during hospitalisation. No Patient or Public Contribution: No direct patient contact was made during the data collection. [ABSTRACT FROM AUTHOR]

Background: Patient Reported Outcomes Measures (PROMs) are being used increasingly to measure health problems in stroke clinical practice. However, the implementation of these PROMs in routine stroke care is still in its infancy. To understand the value of PROMs used in ischemic stroke care, we explored the patients' experience with PROMs and with the consultation at routine post-discharge follow-up after stroke. Methods: In this prospective mixed methods study, patients with ischemic stroke completed an evaluation questionnaire about the use of PROMs and about their consultation in two Dutch hospitals. Additionally, telephone interviews were held to gain in-depth information about their experience with PROMs. Results: In total, 63 patients completed the evaluation questionnaire of which 10 patients were also interviewed. Most patients (82.2–96.6%) found completing the PROMs to be feasible and relevant. Half the patients (49.2–51.6%) considered the PROMs useful for the consultation and most patients (87.3–96.8%) reported the consultation as a positive experience. Completing the PROMs provided 51.6% of the patients with insight into their stroke-related problems. Almost 75% of the patients found the PROMs useful in giving the healthcare provider greater insight, and 60% reported discussing the PROM results during the consultation. Interviewed patients reported the added value of PROMs, particularly when arranging further care, in gaining a broader insight into the problems, and in ensuring all important topics were discussed during the consultation. Conclusions: Completing PROMs appears to be feasible for patients with stroke attending post-discharge consultation; the vast majority of patients experienced added value for themselves or the healthcare provider. We recommend that healthcare providers discuss the PROM results with their patients to improve the value of PROMs for the patient. This could also improve the willingness to complete PROMs in the future. [ABSTRACT FROM AUTHOR]

Background: The recovery of upper extremity motor impairment after stroke remains a challenging task. The clinical effectiveness of repetitive transcranial magnetic stimulation (rTMS), which is believed to aid in the recovery process, is still uncertain. Methods: A systematic search was conducted in Medline (Ovid), Cochrane and Embase electronic databases from March 28, 2014, to March 28, 2023. The inclusion criteria consisted of randomized controlled trials that assessed the effects of rTMS on the recovery of upper limb motor impairment among stroke patients. Various measurements, including the Fugl Meyer Assessment Upper Extremity Scale (FMA-UE), Brunnstrom recovery stage, Action Research Arm Test (ARAT), and Barthel index, were evaluated both before and after the intervention. Results: Nineteen articles with 865 patients were included. When considering only the rTMS parameters, both inhibitory and excitatory rTMS improved FMAUE (MD = 1.87, 95% CI = [0.88]-[2.86], p < 0.001) and Barthel index (MD = 9.73, 95% CI = [4.57]-[14.89], p < 0.001). When considering only the severity of upper limb hemiplegia, both less severe (MD = 1.56, 95% CI = [0.64]-[2.49], p < 0.001) and severe (MD = 2.05, 95% CI = [1.09]-[3.00], p < 0.001) hemiplegia benefited from rTMS based on FMA-UE. However, when considering the rTMS parameters, severity of hemiplegia and stroke stages simultaneously, inhibitory rTMS was found to be significantly effective for less severe hemiplegia in the acute and subacute phases (MD = 4.55, 95% CI = [2.49]-[6.60], p < 0.001), but not in the chronic phase based on FMA-UE. For severe hemiplegia, inhibitory rTMS was not significantly effective in the acute and subacute phases, but significantly effective in the chronic phase (MD = 2.10, 95% CI = [0.75]-[3.45], p = 0.002) based on FMA-UE. Excitatory rTMS was found to be significantly effective for less severe hemiplegia in the acute and subacute phases (MD = 1.93, 95% CI = [0.58]-[3.28], p = 0.005) based on FMA-UE. The improvements in Brunnstrom recovery stage and ARAT need further research. Conclusion: The effectiveness of rTMS depends on its parameters, severity of hemiplegia, and stroke stages. It is important to consider all these factors together, as any single grouping method is incomplete. [ABSTRACT FROM AUTHOR]

Background: Due to the increasing proportion of older adults in Korea and growing interest in aging, the concepts of oral aging and oral hypofunction have recently been introduced. Thus, it is necessary to investigate the age-specific oral function levels of Korean older adults and develop expert intervention methods for healthy aging. Methods: Dysphagia, independence of daily living, and oral hypofunction were assessed in 206 older adults living in Wonju, Gangwon State, South Korea. Subjective dysphagia was assessed through self-report questionnaires using the Dysphagia Handicap Index (DHI), the Korean version of Eating Assessment Tool-10, and the Korean version of the Modified Barthel Index. In addition, the oral hypofunction assessment items included decreased chewing ability, occlusal pressure, tongue pressure, oral dryness, and oral cleanliness. Results: DHI increased significantly with age, with those in their 80 s reporting the most difficulty swallowing. Oral function in terms of chewing ability (maximum occlusal pressure and number of remaining teeth), maximum occlusal pressure, and maximum tongue pressure also declined with increasing age. While there was no significant difference in oral dryness by age, those in their 80 s had dry mouth according to the criteria of the oral moisture checking device. Conclusions: In an assessment of oral function in community-dwelling, independent Korean older adults, the number of items that were assessed as oral hypofunction increased with age. The findings can be used to standardize the oral hypofunction assessment item and develop age-based individualized intervention plans for the early management of oral health and individual oral myofunctional rehabilitation in Korean community-dwelling older adults. [ABSTRACT FROM AUTHOR]

Background : During hospitalisation, older patients spend most of their time passive in bed, which increases the risk of functional decline and negative adverse outcomes. Our aim is to examine the impact of robot-assisted physical training on functional status in older geriatric patients during acute hospitalisation. Methods: This is a single-centre investigator-blinded placebo-controlled randomised controlled trial including geriatric patients aged ≥ 65 years, able to ambulate before hospitalisation, and with expected length of stay ≥ 2 days. In addition to standard physiotherapy treatment, the intervention group receive active robot-assisted resistance training and the control group passive robot-assisted sham training. Exclusion criteria are as follows: ambulation without assistance at the time of inclusion, known severe dementia, delirium, patients who have received less than three training sessions at discharge, terminal illness, recent major surgery/lower extremity fracture, conditions contradicting the use of training robot, lower extremity metastases, deemed unsuitable for robot-assisted training by a healthcare professional, or weight > 165 kg. The primary outcome is functional status assessed by change in Barthel Index-100 and 30-s chair stand test between inclusion and day of discharge. Secondary outcomes include functional status at 1- and 3-month follow-up, quality of life, depression, concern about falling, falls, cognition, qualitative interviews, need of homecare, discharge destination, readmissions, healthcare costs, sarcopenia, muscle quantity (bioimpedance), and mortality. Clinical meaningful change of the Barthel Index is 5 points. A recent study in geriatric patients reported a 6.9-point change following exercise. With a significance level of 5%, 80% power, and a drop-out rate of 20%, 244 participants per group (n = 488) are needed to detect the same mean difference. With a significance level of 5%, 80% power, and a drop-out rate of 20%, 74 participants per group (n = 148) are needed to detect a minimum clinical change of 2.6 repetitions for 30-s chair stand test. Recruitment started in January 2023 and is expected to continue for 19 months including follow-up. Discussion: If our study shows that in-hospital robot-assisted training prevents functional decline in older patients, this may have a major impact on the individual patient due to increased wellbeing and a higher level of independency. In addition, society will benefit due to potential decrease in the need of municipality-delivered homecare following discharge. Trial registration: ClinicalTrials.gov NCT05782855. Registration date: March 24, 2023. [ABSTRACT FROM AUTHOR]

Stroke survivors frequently experience difficulties in daily activities, such as bathing, feeding, and mobility. This study aimed to evaluate the reliability and validity of a computer-adaptive test-Longshi scale (CAT-LS) for assessing activities of daily living (ADL) in stroke survivors. This cross-sectional study collected data using an electronic application. The ADL function of stroke survivors in rehabilitation departments of hospitals was assessed using both the CAT-LS and BI. Correlations between the CAT-LS and Barthel index (BI) and concurrent validity were evaluated using Pearson's correlation test and multiple linear regression. Interrater reliability was evaluated using the intraclass correlation coefficient based on a two-way random effect. The internal consistency of the CAT-LS was assessed using Cronbach's coefficient (α) and corrected item-total correlations. Overall, 103 medical institutions in China were used in this study. In total, 7151 patients with stroke were included in this study. The CAT-LS classified patients into three ADL groups (bedridden, domestic, and community) with significantly different BI scores (P < 0.05). The CAT-LS results obtained using the decision-tree scoring model were consistent with the scores for each BI item. A strong correlation was observed between CAT-LS and BI (Pearson's r: 0.6–0.894, P < 0.001). The CAT-LS demonstrated good internal consistency (Cronbach's α, 0.803–0.894) and interrater reliability (ICC, 0.928–0.979). CAT-LS is time-efficient and requires < 1 min to administer. The CAT-LS is a reliable and valid tool for assessing ADL function in stroke survivors and can provide rapid and accurate assessments that reduce the burden on healthcare professionals. Further validation of this tool in other populations and settings is necessary. Study registration number: No.: ChiCTR2000034067; http://www.chictr.org.cn/showproj.aspx?proj=54770. [ABSTRACT FROM AUTHOR]

We investigated the clinical characteristics, fall outcomes, and related factors of falls in patients who were hospitalized in the rehabilitation department, and explored strategies to reduce the incidence of falls and prevent falls in patients. Methods: Data from 60 patients who fell in the rehabilitation department between 2016 and 2021 were analyzed for clinical characteristics, associated factors, incidence of falls, injuries, and patient demographics. Under the random stratified sampling method, 60 patients who did not fall during the same period were selected as the control group, and relevant data was collected. Measurement data were compared using an independent sample t-test. Enumeration data were compared using chi-squared (χ2) test was employed to compare these data between the two groups. Non-parametric data were analyzed using the Mann–Whitney U-test. Factors potentially influencing falls were scrutinized through both univariate and binary logistic regression analyses. Results: The median annual incidence of falls among patients who were hospitalized in the rehabilitation department was 0.04%, while the overall fall injury rate was 60%. Falls were most prevalent within 30 days of hospitalization (71.67%). The most common fall-related condition was craniocerebral disease (83.33%). The incidents of falls location of fall were mainly reported in nearby areas of rehabilitation ward (70%). Most accidents occurred between 7:00 a.m.– 12:00 p.m. and 3:01 p.m.– 6:00 p.m. (63.33%), and dyskinesia was the most common cause of falls (71.67%). There were 39 patients (65.00%) with Barthel Index (BI) scores ranging between 40– 60. Conclusion: Patients in the rehabilitation department had a greater incidence of falls and fall injuries. Within 30 days of admission, patients with moderately dependent craniocerebral disorders and dyskinesia frequently experienced falls during typical daytime shifts in areas characterized by endemic conditions. [ABSTRACT FROM AUTHOR]

Objectives: The aims of this study were to (i) compare the prevalence of multidimensional frailty in middle‐aged and older people with stroke and to (ii) explore the relationship between multidimensional frailty and quality of life (QoL) in this patient population. Background: In recent years, stroke patients have become increasingly younger. As an important risk factor for stroke patients, frailty has gradually drawn research attention because of its multidimensional nature. Design: This study used a cross‐sectional design. Methods: The study included 234 stroke patients aged 45 and older. Multidimensional frailty was defined as a holistic condition in which a person experiences losses in one or more domains of human functioning (physical, psychological and social) based on the Tilburg Frailty Indicator, and QoL was based on the short version of the Stroke‐Specific Quality of Life Scale. Hierarchical regression was used to analyse the correlation factors of QoL. STROBE checklist guides the reporting of the manuscript. Results: A total of 128 (54.7%) participants had multidimensional frailty, 48 (44.5%) were middle aged and 80 (63.5%) were older adults. The overall QoL mean score of the participants was 47.86 ± 9.04. Multidimensional frailty was negatively correlated with QoL. Hierarchical regression analysis showed that multidimensional frailty could independently explain 14.6% of the variation in QoL in stroke patients. Conclusions: Multidimensional frailty was prevalent in middle‐aged and older people with stroke, and it was a significant factor associated with QoL in stroke patients. Relevance to Clinical Practice: This study emphasises the importance of the early identification of multidimensional frailty. And targeted interventions should be studied to prevent the occurrence of multidimensional frailty and thereby improve the QoL of patients. Patient or Public Contribution/s: There are no patient or public contributions to this study. [ABSTRACT FROM AUTHOR]

The aim of this retrospective, cross-sectional, observational study was to assess the frequency of falls and evaluate the predictive validity of the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) among patients aged ≥65 years, transferred to the rehabilitation ward of a university hospital. The predictive ability was assessed using receiver operating characteristic curve analysis, and the optimal threshold was established using the Youden index. We analyzed the overall cohort (N = 175) with subacute stroke and the subgroup with a low unaffected handgrip strength (HGS; men: <28 kg, women: <18 kg). Overall, 135/175 patients (77.1%) had a low HGS. The fall rate was 6.9% overall and 5.9% for patients with a low HGS. The JHFRAT predictive value was higher for patients with a low HGS than that for the overall cohort, but acceptable in both. The optimal cutoff score for the overall cohort was 11 (sensitivity, 67%; specificity, 68%), whereas that for the subgroup was 12 (sensitivity, 75%; specificity: 72%). These results are expected to aid nurses working in rehabilitation wards in more effectively utilizing JHFRAT outcomes for post-stroke older patients with a low HGS and contribute to the development of more appropriate fall prevention strategies for high-risk patients in the future. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the effects of neuromuscular electrical stimulation (NMES) with gastrocnemius (GCM) strength exercise on foot morphology in patients with stroke. Herein, 31 patients with chronic stroke meeting the study criteria were enrolled and divided into two groups; 16 patients were randomized to the gastrocnemius neuromuscular electrical stimulation (GCMNMES) group, and 15 patients to the conventional neuromuscular electrical stimulation (CNMES) group. The GCMNMES group conducted GCM-strengthening exercise with NMES. CNMES group conducted NMES at paretic tibialis anterior muscle with ankle dorsiflexion movement. These patients underwent therapeutic interventions lasting 30 min/session, five times a week for 4 weeks. To analyze changes in foot morphology, 3D foot scanning was used, while a foot-pressure measurement device was used to evaluate foot pressure and weight-bearing area. In an intra-group comparison of 3D-foot-scanning results, the experimental group showed significant changes in longitudinal arch angle (p < 0.05), medial longitudinal arch angle (MLAA) (p < 0.01), transverse arch angle (TAA) (p < 0.01), rearfoot angle (RA) (p < 0.05), foot length (FL) (p < 0.05), foot width (FW) (p < 0.05), and arch height index (AHI) (p < 0.01) of the paretic side and in TAA (p < 0.05) and AHI (p < 0.05) of the non-paretic side. The CNMES group showed significant changes in TAA (p < 0.05) and FW (p < 0.05) of the paretic side and TAA (p < 0.05) and AHI (p < 0.05) of the non-paretic side. An inter-group comparison showed significant differences in MLAA (p < 0.05) and RA (p < 0.05) of the paretic side. In an intra-group comparison of foot pressure assessment, the experimental group showed significant differences in footprint area (FPA) (p < 0.05) of the paretic side and FPA symmetry (p < 0.05). The CNMES group showed a significant difference in only FPA symmetry (p < 0.05). An inter-group comparison showed no significant difference between the two groups (p < 0.05). Thus, NMES with GCM-strengthening exercises yielded positive effects on foot morphology in patients with stroke. [ABSTRACT FROM AUTHOR]

Background: Chronic heart failure (CHF) is a complex clinical syndrome associated with muscle wasting, which can progress to cardiac cachexia. Myostatin, a negative regulator of muscle growth, has been implicated in the pathophysiology of muscle wasting in CHF patients and suggested as a potential biomarker. The objective of this study was to investigate serum myostatin concentration in patients with CHF with preserved and reduced ejection fraction. Methods: The authors conducted a single-centre study comparing serum myostatin levels, functional and echocardiographic parameters, muscle mass, strength and function in patients with CHF to a control group without CHF. The study group was further divided into sub-groups with preserved and reduced or mildly reduced ejection fraction. Results: Results showed no significant differences in myostatin concentration between CHF patients and controls, and no correlation with sarcopenia or dynapenia. However, a higher myostatin concentration was found in patients with impaired systolic function (Me = 1675 pg/mL vs. Me—884.5 pg/mL; p = 0.007). A positive correlation between myostatin concentration and muscle mass (r = 0.27; p = 0.04), and functional parameters such as Norton (r = 0.35; p < 0.01), I-ADL (r = 0.28; p = 0.02) and Barthel scale (r = 0.27; p = 0.03) scores, was also observed. Conclusions: Myostatin appears to play a role in muscle wasting and its progression to cardiac cachexia in patients with impaired ejection fraction. Further research is needed to confirm these findings and explore myostatin's potential as a biomarker for muscle loss and a target for pharmacotherapeutic agents in this population of patients. [ABSTRACT FROM AUTHOR]