The relationship between the Barthel Index and stroke-associated pneumonia in elderly patients and factors of SAP.

BACKGROUND: Stroke-associated pneumonia (SAP) is a common complication in stroke patients, and the Barthel Index (BI) is a well-established metric for assessing activities of daily living (ADL). However, the association between BI and SAP in acute ischemic stroke (AIS) patients remains unclear. This study aims to investigate the relationship between BI at admission and SAP, and explore the factors in AIS elderly patients. METHOD: Retrospective data were collected from ischemic stroke patients hospitalized at the Second Affiliated Hospital of Nanchang University between January 2018 and July 2021, including their basic demographic and laboratory test results. Restricted cubic spline regression, multivariate logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were employed to investigate the relationship between BI and SAP. Additionally, the Shapley Additive exPlanations (SHAP) method was used to identify the factors influencing SAP. RESULTS: The study included 7,548 eligible stroke patients with a mean age of 75.1 ± 7.6 years, among which 41.14% were female. The SAP group demonstrated significantly lower BI compared to the non-SAP group (50.86 ± 35.60 vs. 75.27 ± 26.33, P < 0.001). Additionally, a conspicuous trend of decreasing SAP risk across the Q1-4 groups was observed (P < 0.001). The RCS analysis further confirmed a gradual reduction in SAP risk with increasing BI. Based on the clinical model, both the BI (NRI = 0.014, P = 0.005; IDI = 0.04, P < 0.001) and the NIHSS score (NRI = 0.09, P = 0.03; IDI = 0.025, P < 0.001) demonstrated additional predictive value for SAP. Multivariate logistic regression and SHAP analysis identified WBC, CONUT, TG, UA, and RBC levels, as well as the type of health insurance (urban employee basic medical insurance), as important independent predictors of SAP. CONCLUSION: BI at admission constitutes a risk factor for the onset of SAP in elderly patients with AIS, Compared to the NIHSS and mRS score, BI may be a more reliable and practical predictor of SAP.

Multi-task learning for predicting quality-of-life and independence in activities of daily living after stroke: a proof-of-concept study.

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.

Associations of hypothetical early intensive in-hospital rehabilitation with activities of daily living after hip fracture surgery in patients with and without dementia: Emulating a randomized controlled trial using medical claims data.

OBJECTIVE: To investigate the impact of early intensive in-hospital rehabilitation, initiated within 2 days of surgery and lasting up to 7 days, on the recovery of activities of daily living in patients with and without dementia. STUDY DESIGN AND SETTING: Medical claims data from 925 hospitals in Japan were analyzed. We enrolled patients aged ≥50 years who underwent hip fracture surgery within 2 days of admission between April 1, 2018 and December 31, 2019. Low- (20 min per day starting on day 2), highest- (60 min per day starting on day 1), and gradually increasing (20 min on day 1, 40 min on days 2-4, and 60 min per day thereafter) intensity regimens were used as exposures. The outcomes were Barthel Index (BI) scores at 14 and 30 days postoperatively. For per-protocol analysis, a target trial emulation framework with the sequential doubly robust estimator was used. RESULTS: Among patients without dementia (N = 11,461), no significant differences in BI scores were observed at 14 days postoperatively across regimens. At 30 days postoperatively, significant differences in BI scores were noted between highest- and low-intensity regimens and between gradually increasing intensity and low-intensity regimens, with additive BI scores of 15.2 (95% confidence interval [CI], 10.7-19.7) and 14.7 (95% CI, 9.2-20.2), respectively. In patients with dementia (N = 14,302), significant differences in BI scores were noted at 14 days postoperatively between highest- and low-intensity regimens and between gradually increasing intensity and low-intensity regimens, with additive BI scores of 8.7 (95% CI, 5.2-12.2) and 10.7 (95% CI, 5.8-15.6), respectively. At 30 days postoperatively, a significant difference in BI scores was observed between gradually increasing intensity and low-intensity regimens, with an additive BI score of 17.9 (95% CI, 11.3-24.5). CONCLUSIONS: Early intensive in-hospital rehabilitation is highly relevant and beneficial for dementia patients.

Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach.

Background: Over one billion people worldwide suffer from neurological conditions that cause mobility impairments, often persisting despite rehabilitation. Chronic neurological disease (CND) patients who lack access to continuous rehabilitation face gradual functional decline. The International Classification of Functioning, Disability, and Health (ICF) provides a comprehensive framework for assessing these patients. Objective: This study aims to evaluate the outcomes of a non-hospitalized neuromotor rehabilitation project for CND patients in Italy using the Barthel Index (BI) as the primary outcome measure. The rehabilitation was administered through an Individual Rehabilitation Plan (IRP), tailored by a multidisciplinary team and coordinated by a physiatrist. The IRP involved an initial comprehensive assessment, individualized therapy administered five days a week, and continuous adjustments based on patient progress. The secondary objectives include assessing mental status and sensory and communication functions, and identifying predictive factors for BI improvement using an artificial neural network (ANN). Methods: A retrospective observational study of 128 CND patients undergoing a rehabilitation program between 2018 and 2023 was conducted. Variables included demographic data, clinical assessments (BI, SPMSQ, and SVaMAsc), and ICF codes. Data were analyzed using descriptive statistics, linear regressions, and ANN to identify predictors of BI improvement. Results: Significant improvements in the mean BI score were observed from admission (40.28 ± 29.08) to discharge (42.53 ± 30.02, p < 0.001). Patients with severe mobility issues showed the most difficulty in transfers and walking, as indicated by the ICF E codes. Females, especially older women, experienced more cognitive decline, affecting rehabilitation outcomes. ANN achieved 86.4% accuracy in predicting BI improvement, with key factors including ICF mobility codes and the number of past rehabilitation projects. Conclusions: The ICF mobility codes are strong predictors of BI improvement in CND patients. More rehabilitation sessions and targeted support, especially for elderly women and patients with lower initial BI scores, can enhance outcomes and reduce complications. Continuous rehabilitation is essential for maintaining progress in CND patients.

The Superior Approach in Hemiarthroplasty for Femoral Neck Fracture: A Comparative Analysis with the Posterior Approach.

Purpose: The concept of a superior approach (SA) involves the use of a tissue-sparing posterior approach (PA), with exposure of the piriformis muscle and gluteus medius/minimus muscles. The objective of this study was to clarify the features of hip hemiarthroplasty (HA) using a SA in regard to early recovery and mid-term outcomes, with a comparison of the outcomes of SA-HAs and HAs using a PA (PA-HAs). Materials and Methods: A total of 120 HAs for treatment of primary femoral neck fracture with a healthy opposite hip joint were performed in our hospital from 2013 to 2018. Propensity score matching in regard to age, sex, body mass index, walking ability before injury, place of residence, time to surgery, and American Society of Anesthesiologists-Physical Status was performed for 79 patients with SA-HAs and 41 patients with PA-HAs. The final analysis included 34 patients who underwent SA-HAs and 34 patients who underwent PA-HAs. Results: The duration of surgery was 57.1 minutes and 72.1 minutes (P=0.001) for SA-HAs and PA-HAs, respectively. The scores for walking ability at postoperative one week were 4.9±1.4 and 4.2±1.0 (P=0.021) for SA-HAs and PA-HAs, respectively. The Barthel index (BI) at the start of rehabilitation was 26.2±18.7 and 17.4±16.3 (P=0.042) for SA-HAs and PA-HAs, respectively. The 4-year complication-free survival rates were 74.2% and 56.3% for SA-HAs and PA-HAs, respectively (P=0.310). Conclusion: SA-HA can be performed without torsion of the muscles and ligaments around the hip joint. Early recovery of walking ability and BI was a significant feature of SA-HAs.

Electroencephalography as a tool for assessing delirium in hospitalized patients: A single-center tertiary hospital experience.

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.

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.

Cross-Sectional Study Comparing Activities of Daily Living Using Barthel Index Within a Geriatric Population Having Non-Communicable Diseases.

Introduction Disabilities and non-communicable diseases (NCDs) are prevalent among the elderly, significantly affecting their quality of life. Comprehensive population-based data are essential for effective healthcare planning and rehabilitation. This study aims to determine the prevalence of self-reported disabilities and compare Barthel Index scores among elderly individuals with and without NCDs. Methods A cross-sectional study was conducted at Dr. D. Y. Patil Medical College, Pune, involving 102 patients aged 60 years and above. Patients with a history of strokes or limb amputations were excluded. Data on demographics, comorbidities, and functional status were collected using a structured questionnaire designed based on Barthel Index scoring to assess the activities of daily living (ADL). Results The study included 102 participants: 58 males (56.9%) and 44 females (43.1%). Age distribution showed 73.5% in the 60-74 age group, 22.5% in the 75-84 age group, and 3.9% in the 85+ age group. Comorbidity data revealed that 37.3% had no comorbidities, 26.4% had one comorbidity, and 36.3% had two or more comorbidities. The mean Barthel Index scores were 87.11 for those without comorbidities, 83.89 for those with one comorbidity, and 82.30 for those with two or more comorbidities. The most affected activities were stair climbing (75.7%), bowel control (48.5%), and mobility (47.1%). Conclusion NCDs significantly impact daily activities in the elderly, underscoring the need for targeted healthcare interventions to improve their quality of life. This study highlights the importance of comprehensive care strategies to address the specific needs of elderly patients with comorbidities.

Nutrition-associated markers and outcomes among patients receiving enteral nutrition after ischemic stroke: a retrospective cohort study.

BACKGROUND: Early nutrition after acute ischemic stroke is crucial. We explored early enteral nutrition for stroke patients and evaluated changes in blood indicators as a predictor of stroke prognosis. METHODS: All hospitalized stroke patients receiving enteral nutrition were included in the study. We retrospectively collected the protein, energy, fat, and carbohydrate values for 7 days after admission. Serum albumin, total protein, and hemoglobin values were reviewed at admission and at one week. The main outcome indicators were the Modified Rankin Score, Barthel Index, and Quality of Life at 3 months. RESULTS: A total of 354 patients (mean age, 70.7 years; 59.0% male) were included. The change in serum albumin at day 7 relative to at admission was positively correlated with the Quality of Life score (p = 0.001), the Barthel Index (p = 0.004), and the modified Rankin Score (p = 0.029). The change in total protein at day 7 relative to at admission was positively correlated with the Quality of Life score (p = 0.002), the Barthel Index (p = 0.001), and the modified Rankin score (p = 0.011). The change in hemoglobin values at day 7 relative to at admission was positively correlated with the Barthel Index (p = 0.037 but not with the Quality of Life score (p = 0.237) or the modified Rankin score (p = 0.730). CONCLUSIONS: Improved nutrition-related blood indicators one week after admission were independently associated with good stroke outcomes. Nutritional support for acute ischemic stroke patients during the early hospitalization stage appears to be advisable. TRIAL REGISTRATION: This review was a retrospective cohort study. The study was retrospectively registered in the Chinese Clinical Trial Registry (No: ChiCTR2300077228). Registration date: 1/11/2023.

Effects of early surgery for cervical fracture dislocation on 30-day mortality using the Japanese Diagnosis Procedure Combination database.

STUDY DESIGN: Retrospective study of data abstracted from the Diagnosis Procedure Combination (DPC) database. PURPOSE: This study aimed to investigate the effects of surgery in the early phase. OVERVIEW OF LITERATURE: The optimal timing of surgery for cervical fracture dislocation (CFD) remains unclear because only a few clinical studies with approximately 100 patients have been published. METHODS: This study included 4,653 adult patients with a definitive diagnosis of CFD from the DPC database. The database contains nationwide inpatient data collected from >1,000 acute care hospitals in Japan. The DPC database contains information regarding hospitalization, such as diagnosis, treatment, medical history, complications, and hospitalization outcomes. This study identified 460 pairs of patients after one-to-one propensity-score matching (PSM). Treatment outcomes were compared between patients who underwent surgery for CFD within 72 hours (early group) and later (delayed group) after admission. The main outcomes included 30-day mortality, inhospital death, and major complications. The secondary outcomes were improvement in the Barthel index, length of hospital stay, and discharged home rate. RESULTS: After adjusting for PSM, the early group had a significantly higher 30-day mortality rates than the delayed group (3.0% vs. 0.4%, p=0.006). In the multivariate logistic regression analysis after PSM, the early group was associated with an increased risk of 30-day mortality (odds ratio, 8.05; 95% confidence interval, 2.15-5.26; p=0.007). CONCLUSIONS: This study indicated that early surgery for CFD resulted in increased 30-day mortality.

Exploring the association between activities of daily living ability and injurious falls in older stroke patients with different activity ranges.

Injurious falls pose a significant threat to the safety of stroke patients, particularly among older adults. While the influence of activities of daily living (ADL) on falls is acknowledged, the precise connection between ADL ability and fall-related injuries in older stroke patients undergoing rehabilitation, particularly those with varying mobility levels, remains unclear. This multicenter cross-sectional study in China recruited 741 stroke patients aged 65 years and above, categorized into bedridden, domestic, and community groups based on their mobility levels using the Longshi Scale. ADL ability was assessed using the Barthel Index. Logistic regression models, generalized additive models, smoothed curve-fitting, and threshold effect analysis were employed to explore the relationship between ADL ability and injurious falls across the three mobility groups. Results revealed an inverted U-shaped relationship between ADL ability and injurious falls among patients in the domestic group (p = 0.011). Below the inflection point of 35 on the Barthel Index, the likelihood of injurious falls increased by 14% with each unit increase in ADL ability (OR = 1.14, 95% CI 1.010-1.29, p = 0.0331), while above the inflection point, it decreased by 3% per unit increase (OR = 0.97, 95% CI 0.95-0.99, p = 0.0013). However, no significant association between ADL ability and injurious falls was observed in either the bedridden or community groups (p > 0.05). These findings suggest that only older stroke patients capable of engaging in activities at home demonstrate a correlation between ADL ability and injurious falls. The identified inverted U-shaped relationship may aid in identifying fall injury risk in this population.

Integrating Machine Learning with Robotic Rehabilitation May Support Prediction of Recovery of the Upper Limb Motor Function in Stroke Survivors.

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.

Neuroendocrine challenges and clinical outcomes in men with chronic traumatic brain injury: a cross-sectional study.

BACKGROUND AND OBJECTIVES: Marked changes in the hypothalamic-pituitary axis have been documented in patients with traumatic brain injury (TBI). These enduring endocrine challenges could significantly influence the physical and psychological outcomes thereby impacting overall recovery. This study aimed to determine the prevalence and types of endocrine dysfunction in men with chronic TBI and to determine the association of endocrine dysfunction with clinical outcomes. METHODOLOGY: A cross-sectional study that included male participants of 25-45 years (N = 66) with moderate to severe TBI within 6-24 months of injury. Serum Cortisol, Free T4, TSH, Luteinizing hormone, Testosterone, ACTH, Prolactin and IGF-1 were assessed. Glasgow Outcome Scale Extended (GOS-E) and Modified Barthel Index (MBI) scores were also assessed in them. RESULTS: The study cohort comprised male patients with a mean ± age of 32.8 ± 5.7 years. Low IGF-1 levels were most commonly encountered, followed by hypogonadism. Hypopituitarism was present in 56.1%. The proportion of hypogonadism was significantly higher in the group with moderate-total dependence (13/26) as compared to the functionally independent (8/40) group (50% vs. 20%; P = 0.011). Univariate and multivariate logistic regression analysis was used to determine the factors associated with hypopituitarism, revealing that severity of injury (OR = 2.6;) and GOS-E (OR = 3.1) were significant (P < 0.10) on univariate analysis. CONCLUSIONS: This study emphasizes the need to screen TBI patients for neuroendocrine dysfunction during the chronic phases and to establish screening criteria.

Barthel Index and Age as Predictors of Discharge Destination in Patients with Glioblastoma.

This study aimed to investigate the predictive factors of transfer of glioblastoma multiforme (GBM) patients who underwent rehabilitation in acute care hospitals. We retrospectively identified 85 patients with GBM who underwent rehabilitation at our hospital. Multivariable logistic regression analysis showed that age and Barthel index (BI) at rehabilitation initiation significantly influenced the discharge destination. Cut-off values for these factors were 76 years of age and 30 BI points. These findings could help predict the discharge destination and the choice of rehabilitation strategies of newly diagnosed patients with GBM admitted to an acute care hospital.

Acupuncture improves neurological function and anti-inflammatory effect in patients with acute ischemic stroke: A double-blinded randomized controlled trial.

BACKGROUND AND PURPOSE: Acupuncture exerts an anti-inflammatory effect and is recommended by the World Health Organization as a complementary therapy for stroke. This study investigated the improvement in neurological function outcome in acute-stage intervention of acute ischemic stroke (AIS), and the anti-inflammatory effect of early acupuncture. METHODS: Fifty patients with AIS were randomly assigned to either a control group (CG, 25 patients, received sham acupuncture) or treatment group (TG, 25 patients, received acupuncture treatment). Acupuncture intervention was administered twice a week for a total of 8 sessions over 4 consecutive weeks. The primary outcome was the changes in the National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), and Barthel Index (BI) scores. The secondary outcome was the changes in serum inflammation-related biomarker levels.(ANAIS trial) RESULTS: A total of 35 patients (18 patients in the CG and 17 patients in the TG) completed the trial. The reduction in NIHSS scores was greater in the TG than in the CG between V2 (second assessment administered after acupuncture intervention) and V1 (first assessment administered before acupuncture intervention; 4.33 ± 1.91 vs. 2.68 ± 1.42, p = 0.005) and between V3 (third assessment administered 28 days after last acupuncture intervention) and V1 (6.00 ± 2.53 vs. 3.83 ± 2.31, p = 0.012). The increase in BI scores was greater in the TG than in the CG between V2 and V1 (28.89 ± 15.39 vs. 14.21 ± 19.38, p = 0.016) and between V3 and V1 (39.41 ± 20.98 vs. 25.00 ± 18.47, p = 0.038). Among participants with high inflammation, the increase in serum IL-12p70 level between V2 and V1 was greater in the TG than in the CG (0.20 ± 0.19 vs. -0.14 ± 0.30, pg/mL p = 0.006). CONCLUSIONS: Acupuncture improved the neurological function of patients with AIS, and the relationship between acupuncture improving neurological function and anti-inflammatory effect needs further study. In addition, studies with larger sample sizes and longer follow-ups as well as multicenter clinical trials are expected in the future.

Validation of the Barthel Index in Chinese nursing home residents: an item response theory analysis.

Background: The Barthel Index (BI) is used to standardize the grading of assessments for clinical needs, insurance support, and long-term care resource allocation in China. However, its psychometric properties among nursing home residents remain unclear. Therefore, this study aims to assess and modify the psychometric properties of BI in nursing home residents. Methods: A total of 1,402 individuals undergoing evaluation in a nursing home facility in China were included in this study from November 2021 to November 2022. Correlations between items were examined to identify the potential multicollinearity concerns. The unidimensional item response theory (IRT) was used to validate and modify the single structure of BI. Furthermore, the logistic regression/IRT hybrid DIF detection method was conducted to assess differential item functioning (DIF) between the dementia group and the normal group. Results: The pairing of items 5 ("bowl control") and 6 ("bladder control") revealed a local dependence issue, leading to their consolidation. Items 56 (bowel and bladder control) and 9 (mobility) both displayed poor fit indices and underwent category collapsing. Through the application of the generalized partial credit model, the adjusted scale displayed better fit indices, demonstrating a robust discriminative power (DC >1.5) and orderly thresholds. Furthermore, non-uniform DIF was identified in item 2 (bathing) between the dementia group and the normal group. Conclusion: The modified BI demonstrated favorable psychometric properties and proved to be suitable for evaluating nursing home residents experiencing moderate functional impairment, which may provide a precise evaluation for long-term care resource allocation. Future studies could explore integrating supplementary measurements, such as objective indices, to assess a broader spectrum of functional statuses to potentially enhance the limited precision width observed in BI.

Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.

Background: EPs pose significant challenges to individual health and quality of life, attracting attention in public health as a risk factor for diminished quality of life and healthy life expectancy in middle-aged and older adult populations. Therefore, in the context of global aging, meticulous exploration of the factors behind emotional issues becomes paramount. Whether ADL can serve as a potential marker for EPs remains unclear. This study aims to provide new evidence for ADL as an early predictor of EPs through statistical analysis and validation using machine learning algorithms. Methods: Data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) national baseline survey, comprising 9,766 samples aged 45 and above, were utilized. ADL was assessed using the BI, while the presence of EPs was evaluated based on the record of "Diagnosed with Emotional Problems by a Doctor" in CHARLS data. Statistical analyses including independent samples t-test, chi-square test, Pearson correlation analysis, and multiple linear regression were conducted using SPSS 25.0. Machine learning algorithms, including Support Vector Machine (SVM), Decision Tree (DT), and Logistic Regression (LR), were implemented using Python 3.10.2. Results: Population demographic analysis revealed a significantly lower average BI score of 65.044 in the "Diagnosed with Emotional Problems by a Doctor" group compared to 85.128 in the "Not diagnosed with Emotional Problems by a Doctor" group. Pearson correlation analysis indicated a significant negative correlation between ADL and EPs (r = -0.165, p < 0.001). Iterative analysis using stratified multiple linear regression across three different models demonstrated the persistent statistical significance of the negative correlation between ADL and EPs (B = -0.002, ß = -0.186, t = -16.476, 95% CI = -0.002, -0.001, p = 0.000), confirming its stability. Machine learning algorithms validated our findings from statistical analysis, confirming the predictive accuracy of ADL for EPs. The area under the curve (AUC) for the three models were SVM-AUC = 0.700, DT-AUC = 0.742, and LR-AUC = 0.711. In experiments using other covariates and other covariates + BI, the overall prediction level of machine learning algorithms improved after adding BI, emphasizing the positive effect of ADL on EPs prediction. Conclusion: This study, employing various statistical methods, identified a negative correlation between ADL and EPs, with machine learning algorithms confirming this finding. Impaired ADL increases susceptibility to EPs.

Comparison of different frailty instruments for prediction of functional decline in older hypertensive outpatients (HYPER-FRAIL pilot study 2).

BACKGROUND AND AIMS: Few studies have evaluated frailty in older hypertensive individuals and the most appropriate tools to identify frailty in this population have yet to be identified. This study compared the performance of six frailty instruments in the prediction of 1-year functional decline in older hypertensive outpatients. METHODS: The HYPERtension and FRAILty in Older Adults (HYPER-FRAIL) longitudinal pilot study involved hypertensive participants ≥75 years from two geriatric outpatient clinics at Careggi Hospital, Florence, Italy, undergoing identification of frailty with four frailty scales (Fried Frailty Phenotype, Frailty Index [FI], Clinical Frailty Scale [CFS], Frailty Postal Score) and two physical performance tests (Short Physical Performance Battery [SPPB] and gait speed). Prediction of 1-year functional decline (i.e. a ≥ 10-point Barthel Index decrease between baseline and follow-up) was examined based on ROC curve analysis and multivariable logistic regression. RESULTS: Among 116 participants, 24 % reported functional decline. In the ROC curve analyses, FI (AUC=0.76), CFS (AUC=0.77), gait speed (AUC=0.73) and the SPPB (AUC=0.77) achieved the best predictive performance, with FI ≥0.21 and CFS ≥4 showing the highest sensitivity (82 %) and negative predictive value (91 %). Frailty identified with FI, CFS or physical performance tests was associated with an increased risk of 1-year functional decline, independently of baseline functional status and comorbidity burden. CONCLUSIONS: FI, CFS and physical performance tests showed similar predictive ability for functional decline in hypertensive outpatients. The CFS and gait speed might be more suitable for clinical use and may be useful to identify non-frail individuals at lower risk of functional decline.

Reliability and validity of a graphical computerized adaptive test Longshi scale for rapid assessment of activities of daily living in stroke survivors.

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 .

ROBot-assisted physical training of older patients during acUte hospitaliSaTion-study protocol for a randomised controlled trial (ROBUST).

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.

Therapeutic advantage of teriparatide in very elderly patients with proximal femoral fractures: a functional and BMD analysis.

BACKGROUND: Teriparatide, a recombinant parathyroid hormone, is pivotal in osteoporosis treatment, particularly in post-surgical recovery for hip fractures. This study investigates its efficacy in functional recovery post-hip fracture surgery in elderly patients, a demographic particularly susceptible to osteoporotic fractures. METHODS: In this retrospective cohort study, 150 elderly patients with proximal femoral fractures undergoing open reduction and internal fixation were enrolled. They were categorized into two groups: receiving 20 µg of daily teriparatide injections for 18 months and receiving standard antiresorptive medications during a 24-month follow-up. Detailed records of patient demographics, Fracture Risk Assessment Tool scores, and comorbidities were kept. Key outcomes, including bone mineral density (BMD) and functional scores (Barthel Index and Visual Analog Scale for hip pain), were evaluated at 3 and 24 months post-surgery. RESULTS: Out of the original cohort, 126 patients (20 men and 106 women with an average age of 85.5 ± 9.3 years) completed the study. The teriparatide group exhibited significant enhancements in both functional scores and BMD when compared to the control group. Notably, functional improvements were less pronounced in male patients compared to female patients. Additionally, the incidence of new fractures was markedly lower in the teriparatide group. CONCLUSION: Administering teriparatide daily for 18 months post-surgery for proximal femoral fractures significantly benefits very elderly patients by improving functionality and bone density, with observed differences in recovery between genders. These results reinforce the efficacy of teriparatide as a potent option for treating osteoporosis-related fractures in the elderly and highlight the importance of considering gender-specific treatment and rehabilitation strategies.