Aging Clinical and Experimental Research最新文献

{"title":"COVID-19 booster doses reduce sex disparities in antibody responses among nursing home residents","authors":"Oladayo A. Oyebanji,&nbsp;Anna Yin,&nbsp;Nicholas Sundheimer,&nbsp;Vaishnavi Ragavapuram,&nbsp;Patrick Shea,&nbsp;Yi Cao,&nbsp;Philip A. Chan,&nbsp;Aman Nanda,&nbsp;Rohit Tyagi,&nbsp;Sakeena Raza,&nbsp;Nadia Mujahid,&nbsp;Yasin Abul,&nbsp;Alejandro B. Balazs,&nbsp;Jürgen Bosch,&nbsp;Christopher L. King,&nbsp;Sabra L. Klein,&nbsp;Stefan Gravenstein,&nbsp;David H. Canaday,&nbsp;Brigid M. Wilson","doi":"10.1007/s40520-025-02990-0","DOIUrl":"10.1007/s40520-025-02990-0","url":null,"abstract":"<div><h3>Background</h3><p>Data suggest that antibody responses following COVID-19 vaccines are a correlate of protection. Some studies, including the clinical trials of COVID-19 mRNA vaccines, did not stratify and evaluate whether antibody responses to COVID-19 vaccines differed between the sexes or with aging. This gap in research is particularly relevant for older populations such as nursing home residents (NHR). We hypothesized that sex differences in vaccine-induced antibody responses may intersect with age and be diminished among older adults residing in nursing homes.</p><h3>Methods</h3><p>We analyzed serum samples from 638 NHRs collected serially after the primary two-dose series and three subsequent booster doses of mRNA SARS-CoV-2 vaccinations. We analyzed anti-Spike IgG and neutralizing antibody titers to the Wuhan and Omicron BA.4/5 variant strains. Mixed-effects models predicting log-transformed titers were estimated to compare responses across vaccine doses, focusing on sex-differential responses. For detected post-dose sex differences, additional sample times were analyzed to assess the duration of the difference.</p><h3>Results</h3><p>Following the primary series, female NHRs with a prior history of SARS-CoV-2 infection had significantly higher Wuhan anti-Spike antibodies and neutralizing antibody titers than male NHRs with differences persisting up to nine months post-vaccination. Subsequent monovalent booster doses and a bivalent booster dose eliminated this disparity. We did not detect any differential response to the Omicron BA.4/5 variant.</p><h3>Conclusions</h3><p>The blunting of sex differences in antibody response observed following the primary series by the 1st booster dose underscores the importance of booster vaccination in this population.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02990-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A prediction model for the risk of developing mild cognitive impairment in older adults with sarcopenia: evidence from the CHARLS","authors":"Xinyue Liu,&nbsp;Jingyi Ni,&nbsp;Baicheng Wang,&nbsp;Rui Yin,&nbsp;Jinlin Tang,&nbsp;Qi Chu,&nbsp;Lianghui You,&nbsp;Zhenggang Wu,&nbsp;Yan Cao,&nbsp;Chenbo Ji","doi":"10.1007/s40520-025-02980-2","DOIUrl":"10.1007/s40520-025-02980-2","url":null,"abstract":"<div><h3>Background</h3><p>Sarcopenia significantly increases the risk of cognitive impairments in older adults. Early detection of mild cognitive impairment (MCI) in individuals with sarcopenia is essential for timely intervention.</p><h3>Aims</h3><p>To develop an accurate prediction model for screening MCI in individuals with sarcopenia.</p><h3>Methods</h3><p>We employed machine learning and deep learning techniques to analyze data from 570 patients with sarcopenia from the China Health and Retirement Longitudinal Study (CHARLS). Our model forecasts MCI incidence over the next four years, categorizing patients into low and high-risk groups based on their risk levels.</p><h3>Results</h3><p>The model was constructed using CHARLS data from 2011 to 2015, incorporating eight validated variables. It outperformed logistic regression, achieving an Area Under the Curve (AUC) of 0.708 (95% CI: 0.544–0.844) for the test set and accurately classifying patients’ risk in the training set. The deep learning model demonstrated a low false-positive rate of 10.23% for MCI in higher-risk groups. Independent validation using 2015–2018 CHARLS data confirmed the model’s efficacy, with an AUC of 0.711 (0.95 CI, 0.588–0.823). An online tool to implement the model is available at http://47.115.214.16:8000/.</p><h3>Conclusions</h3><p>This deep learning model effectively predicts MCI risk in individuals with sarcopenia, facilitating early interventions. Its accuracy aids in identifying high-risk individuals, potentially enhancing patient care.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02980-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis","authors":"Ziyan Wang,&nbsp;Yuqin Zhou,&nbsp;Xing Zeng,&nbsp;Yi Zhou,&nbsp;Tao Yang,&nbsp;Kongfa Hu","doi":"10.1007/s40520-025-02931-x","DOIUrl":"10.1007/s40520-025-02931-x","url":null,"abstract":"<div><h3>Background</h3><p>Sarcopenia is an age-related progressive skeletal muscle disease that leads to loss of muscle mass and function, resulting in adverse health outcomes such as falls, functional decline, and death. Knee osteoarthritis (KOA) is a common chronic degenerative joint disease among elderly individuals who causes joint pain and functional impairment. These two conditions often coexist in elderly individuals and are closely related. Early identification of the risk of sarcopenia in KOA patients is crucial for developing intervention strategies and improving patient health.</p><h3>Methods</h3><p>This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), selecting symptomatic KOA patients aged 65 years and above and analyzing a total of 95 variables. Predictive factors were screened via least absolute shrinkage and selection operator (LASSO) regression and logistic regression. Eight machine learning algorithms were employed to construct predictive models, with internal cross-validation and independent test validation performed. The final selected model was analyzed via the SHapley Additive exPlanations (SHAP) method to enhance interpretability and clinical applicability. To facilitate clinical use, we developed a web application based on this model (http://106.54.231.169/).</p><h3>Results</h3><p>The results indicate that six predictive factors—body mass index, upper arm length, marital status, total cholesterol, cystatin C, and shoulder pain—are closely associated with the risk of sarcopenia in KOA patients. CatBoost demonstrated excellent overall performance in both calibration analyses and probability estimates, reflecting accurate and dependable predictions. The final results on the independent test set (accuracy = 0.8902; F1 = 0.8627; AUC = 0.9697; Brier score = 0.0691) indicate that the model possesses strong predictive performance and excellent generalization ability, with predicted probabilities closely aligning with actual occurrence rates and thereby underscoring its reliability.</p><h3>Conclusion</h3><p>From the perspective of public health and aging, this study constructed an interpretable sarcopenia risk prediction model on the basis of routine clinical data. This model can be used for early screening and risk assessment of symptomatic KOA patients, assisting health departments and clinicians in the early detection and follow-up of relevant populations, thereby improving the quality of life and health outcomes of elderly individuals.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02931-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison the effect of Otago and chair squat exercises on the fear of falling and the quality of life of the older adults, a clinical trial study","authors":"Zahra Mohammadi,&nbsp;Tayebeh Mirzaei,&nbsp;Ali Ravari,&nbsp;Zahra Kamiab","doi":"10.1007/s40520-025-02951-7","DOIUrl":"10.1007/s40520-025-02951-7","url":null,"abstract":"<div><h3>Background</h3><p>Staying at home limits older people's physical activity and increases their fear of falling. Also, their physiological and psychological problems lead to decrease in physical activity, which affects their quality of life.</p><h3>Aims</h3><p>The aim of this study was to help use a cost-effective, and less complicated method to reduce the fear of falling and improve the quality of life of the aged people.</p><h3>Methods</h3><p>A total of 126 aged people (over the age of 60) participated in this study, which lasted 8 weeks (three 45-min sessions per week at home). The participants were divided into three Chair squat, Otago, and control groups randomly. Fear of falling and quality of life scores were evaluated before and after the intervention. The data were analyzed using SPSS software.</p><h3>Results</h3><p>Before the study, there was no significant difference between the groups in terms of fear of falling and quality of life. After the intervention, the Otago was more effective than chair squat exercise in reducing the average score of the fear of falling, but there was no significant difference between the intervention groups in terms of quality of life.</p><h3>Discussion</h3><p>Both Otago and chair squat exercises were cost-effective and less complicated methods that helped reduce fear of falling and improve the quality of life of the older adults.</p><h3>Conclusion</h3><p>Performing the Otago and chair squat exercises at home was effective in reducing fear of falling and improving quality of life of the older adults.</p><h3>Clinical trial registration</h3><p>IRCT20150519022320N29 on July21, 2023.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02951-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Specific cognitive impairment predicts the neuropsychiatric symptoms in patient with mild cognitive impairment","authors":"Chenxi Pan,&nbsp;Ningxin Dong,&nbsp;Xiao Yuan,&nbsp;RenRen Li,&nbsp;Jing Ma,&nbsp;Ying Su,&nbsp;Qinghua Wang,&nbsp;Zhilan Tu,&nbsp;Jialin Zheng,&nbsp;Yunxia Li","doi":"10.1007/s40520-025-02952-6","DOIUrl":"10.1007/s40520-025-02952-6","url":null,"abstract":"<div><h3>Background</h3><p>Neuropsychiatric symptoms (NPS) are common in mild cognitive impairment (MCI). However, knowledge is limited about the relationship of NPS, clinical factors, and cognition in MCI.</p><h3>Methods</h3><p>A total of 1099 dementia, 1323 MCI and 377 cognitively normal (CN) were selected from the Tongji Cohort Study of Aging. All participants underwent comprehensive clinical and neuropsychological assessment. NPS were evaluated by the Neuropsychiatric Inventory Questionnaire (NPI-Q). Logistic regression analyses were conducted to investigate the relationship between clinical factors, cognition and NPS.</p><h3>Results</h3><p>The NPS presented in 56.39% of MCI participants, and the NPI-Q scores of MCI was intermediate between CN and dementia. The most common NPS in MCI were depression (30.76%), anxiety (25.09%), apathy (19.43%), and irritability (12.02%). MCI patients with NPS showed worse performance in global, memory, language, and attention than those without NPS. Additionally, Logistic regression analyses revealed that MCI patients with ischemic heart disease (OR = 1.41; 95%CI 1.050–1.897; <i>P</i> = 0.022) were more likely to have NPS, but MCI patients with increased memory domain Z score (OR = 0.847, 95%CI = 0.720–0.996, <i>p</i> = 0.044), and language domain Z score (OR = 0.801, 95%CI = 0.682–0.941, <i>p</i> = 0.007) were less likely to have NPS.</p><h3>Conclusions</h3><p>Neuropsychiatric symptoms occur commonly in MCI participants, and are mainly related to defect of language and memory function. A better understanding of the relationship between specific cognition and NPS may alert clinicians to pay close attention to the NPS in MCI patient, which may need early intervention.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02952-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex-specific associations between serum lipid levels and cognitive performance in older adults: results from a cross-sectional real-world study","authors":"Virginia Boccardi,&nbsp;Francesca Mancinetti,&nbsp;Anna Giulia Guazzarini,&nbsp;Ilenia Murasecco,&nbsp;Francesco Melis,&nbsp;Patrizia Bastiani,&nbsp;Michela Scamosci,&nbsp;Roberta Cecchetti,&nbsp;Patrizia Mecocci","doi":"10.1007/s40520-025-02976-y","DOIUrl":"10.1007/s40520-025-02976-y","url":null,"abstract":"<div><h3>Aim</h3><p>Dyslipidemia and cognitive decline are prevalent in older adults, with their incidence increasing with age. However, the relationship between serum lipid levels and cognitive dysfunction in geriatrics remains unclear, potentially influenced by sex differences.</p><h3>Methods</h3><p>This study evaluated serum lipid levels and cognitive functions in older adults using a large battery of neuropsychological tests. Dementia was staged with the Clinical Dementia Rating (CDR), classifying participants as cognitively healthy (CDR 0), mildly impaired (CDR 0.5), or with dementia (CDR ≥ 1).</p><h3>Results</h3><p>The study involved 1283 participants aged over 65 (466 men, 817 women; mean age 79.79 ± 5.93 years). Women had lower education levels, reduced autonomy in activities of daily living (ADL), but greater independence in instrumental ADL. Additionally, women exhibited lower glucose but higher levels of total cholesterol (TC), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C) compared to men. Subjects with CDR ≥ 1 had significantly poorer cognitive scores than those with CDR 0 or 0.5. No associations were found between lipid levels and cognition in the CDR 0 group. In men with CDR 0, HDL-C positively correlated with ACE-R Fluency. In the CDR 0.5 group, TC and HDL-C were linked to better cognitive performance. For CDR ≥ 1, TC and HDL-C were associated with improved cognition in women but linked to cognitive decline in men.</p><h3>Conclusion</h3><p>Elevated late-life cholesterol may protect cognitive function in healthy individuals and those with mild impairment, with a sex-specific impact in dementia, beneficial for women but detrimental for men.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02976-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Randomized clinical trial of the individualized coordination and empowerment for care partners of persons with dementia (ICECaP) intervention: impact on preparedness for caregiving","authors":"Virginia T. Gallagher,&nbsp;Shannon E Reilly,&nbsp;Anna Arp,&nbsp;Agustina Rossetti,&nbsp;Ryan Thompson,&nbsp;Carol A. Manning","doi":"10.1007/s40520-025-02959-z","DOIUrl":"10.1007/s40520-025-02959-z","url":null,"abstract":"<div><h3>Background</h3><p>Dementia care partners are at elevated risk of adverse mental health outcomes and often feel unprepared for their caregiving role. Individualized Coordination and Empowerment for Care Partners of Persons with Dementia (ICECaP) is an intervention that involves one-on-one individualized support from a dementia care coordinator for a dementia care partner. At least once monthly contact is made from a dementia care coordinator to the dementia care partner by telephone, video conferencing, email, and/or in-person support.</p><h3>Aims</h3><p>We aimed to determine whether ICECaP improves care partner readiness and whether improvements in readiness are associated with mental health improvements.</p><h3>Methods</h3><p>In this randomized control trial of ICECaP, <i>n</i> = 61 care partners completed 12-months of the ICECaP intervention, and <i>n</i> = 69 care partners received routine clinical support (controls) in an outpatient memory care clinic (ClinicalTrials.gov: NCT04495686). We compared changes in care partner preparedness, dementia knowledge, and self-efficacy from baseline to 12-months between ICECaP and controls.</p><h3>Results</h3><p>ICECaP care partners improved on self-reported preparedness for caregiving from baseline to 12-months to a significantly greater degree versus controls (<i>p</i> =.001, η_p² = 0.066); no group differences were detected on change in dementia knowledge or self-efficacy over time. Exploratory analyses revealed that within the ICECaP group, longitudinal improvement in preparedness was significantly associated with longitudinal decreases in self-reported caregiving burden and negative reactions to behavioral symptoms of dementia (corrected <i>p</i>s &lt; 0.05).</p><h3>Discussion/Conclusions</h3><p>ICECaP significantly improves dementia caregiver preparedness, which is associated with improved mental health.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02959-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment failure in osteoporosis: who will experience a new Fracture? TAILOR a retrospective study","authors":"Ilaria Buondonno,&nbsp;Marco Di Stefano,&nbsp;Patrizia D’Amelio","doi":"10.1007/s40520-025-02972-2","DOIUrl":"10.1007/s40520-025-02972-2","url":null,"abstract":"<div><h3>Background</h3><p>Osteoporosis treatments reduce fracture risk but cannot fully eliminate it, and the concept of treatment failure (TF) or inadequate clinical response (ICR) remains debated.</p><h3>Aims</h3><p>The TAILOR study aims to assess the prevalence of ICR and TF in osteoporotic women undergoing active drug treatment for postmenopausal osteoporosis.</p><h3>Methods</h3><p>TAILOR is a retrospective study conducted in an Italian outpatient service. We included 415 patients with at least 12 months of treatment and up to 10 years, examining clinical characteristics predicting TF and ICR. TF was defined as the occurrence of two fragility fractures while on treatment or one fracture plus lack of variation BMD and ICR as the occurrence of a new osteoporotic fracture in treated patients according to previous literature.</p><h3>Results</h3><p>Seventy-two patients experienced fractures during the follow-up, of those, 26 (36%) were classified as TF. The clinical characteristics of patients with fractures were similar to those without, except for a longer postmenopausal period and lower lumbar spine bone mineral density (BMD). Postmenopausal period was significantly longer in TF compared to ICR patients. However, no significant differences were found in baseline fractures, prescribed treatments, or fracture-free survival curves with age, postmenopausal period, BMD, and previous treatments. The clinical follow-up was longer in ICR and TF patients.</p><h3>Discussion</h3><p>TAILOR shows a higher prevalence of ICR and TF (17.3%) compared to randomized controlled trials and real-world data, with 36% of fractures during follow-up classified as TF. Clinician decisions often led to changes in antiosteoporosis treatment, particularly in TF cases, though TF diagnosis was rarely cited explicitly in medical records.</p><h3>Conclusion</h3><p>TAILOR emphasizes that common clinical factors do not reliably predict ICR and TF. The findings highlight the complexity of determining an algorithm for the best treatment approach to prevent TF and ICR.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02972-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and multi-center cross-setting validation of an explainable prediction model for sarcopenic obesity: a machine learning approach based on readily available clinical features","authors":"Rongna Lian,&nbsp;Huiyu Tang,&nbsp;Zecong Chen,&nbsp;Xiaoyan Chen,&nbsp;Shuyue Luo,&nbsp;Wenhua Jiang,&nbsp;Jiaojiao Jiang,&nbsp;Ming Yang","doi":"10.1007/s40520-025-02975-z","DOIUrl":"10.1007/s40520-025-02975-z","url":null,"abstract":"<div><h3>Objectives</h3><p>Sarcopenic obesity (SO), characterized by the coexistence of obesity and sarcopenia, is an increasingly prevalent condition in aging populations, associated with numerous adverse health outcomes. We aimed to identify and validate an explainable prediction model of SO using easily available clinical characteristics.</p><h3>Setting and participants</h3><p>A preliminary cohort of 1,431 participants from three community regions in Ziyang city, China, was used for model development and internal validation. For external validation, we utilized data from 832 residents of multi-center nursing homes.</p><h3>Measurements</h3><p>The diagnosis of SO was based on the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) criteria. Five machine learning models (support vector machine, logistic regression, random forest, light gradient boosting machine, and extreme gradient boosting) were used to predict SO. The performance of these models was assessed by the area under the receiver operating characteristic curve (AUC). The SHapley Additive exPlanations (SHAP) approach was used for model interpretation.</p><h3>Results</h3><p>After feature reduction, an 8-feature model demonstrated good predictive ability. Among the five models tested, the support vector machine (SVM) model performed best in SO prediction in both internal (AUC = 0.862) and external (AUC = 0.785) validation sets. The eight key predictors identified were BMI, gender, neck circumference, waist circumference, thigh circumference, time to full tandem standing, time to five-times sit-to-stand, and age. SHAP analysis revealed BMI and gender as the most influential predictors. To facilitate the utilization of the SVM model in clinical setting, we developed a web application (https://svcpredictapp.streamlit.app/).</p><h3>Conclusions</h3><p>We developed an explainable machine learning model to predict SO in aging community and nursing populations. This model offers a novel, accessible, and interpretable approach to SO prediction with potential to enhance early detection and intervention strategies. Further studies are warranted to validate our model in diverse populations and evaluate its impact on patient outcomes when integrated into comprehensive geriatric assessments.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02975-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-sectional study comparing smart insoles and manual methods for short physical performance battery in hip fracture patients","authors":"Shinjune Kim,&nbsp;Soojin Kim,&nbsp;HyeonSu Kim,&nbsp;HyunBin Kim,&nbsp;Jun-Il Yoo","doi":"10.1007/s40520-025-02960-6","DOIUrl":"10.1007/s40520-025-02960-6","url":null,"abstract":"<div><h3>Introduction</h3><p>The Short Physical Performance Battery (SPPB) is a widely used tool for assessing physical function in older adults, including those who experienced a hip fracture. Traditionally, medical professionals perform the SPPB manually, which is time-consuming and prone to subjective interpretation. However, recent technological advancements have introduced smart insoles that can automatically capture and analyze data related to gait and balance, potentially offering a more objective and efficient method for performing the SPPB.</p><h3>Methods</h3><p>In this study, we aimed to compare the smart insole method versus the manual method for SPPB assessment in hip fracture patients. We recruited a sample of 57 patients with hip fracture aged 50 years or older. The participants underwent both the smart insole assessment and the manual assessment simultaneously. The SPPB consists of three subtests: balance, gait speed, and chair stands.</p><h3>Results</h3><p>The balance test scores slightly increased with smart insoles, showing a mean difference of 0.086 and a p-value of 0.037. In contrast, chair stand and gait speed tests showed negligible differences, with p-values of 0.777 and 1.000, respectively. The overall SPPB scores were closely matched between the methods, with a minimal mean difference of 0.103 and a p-value of 0.282. High correlations were observed across the assessments, with <i>r</i> of 0.95 for individual tests and 0.98 for total SPPB scores.</p><h3>Conclusion</h3><p>The smart insole method provides a reliable and efficient alternative to the manual method for assessing SPPB in hip fracture patients. Smart insoles in assessments can save time and resources while improving accuracy and standardization of SPPB measurements.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-02960-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}