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Background: For hospitalized adults, it is important to initiate the early reintroduction of oral food in accordance with nutrition support team guidelines. The aim of this study was to develop and validate a machine learning-based algorithm that predicts the early termination of medical nutritional therapy (the transition to oral feeding)., Methods: This retrospective cohort study included consecutive adult patients admitted to the Hacettepe hospital (from 1 January 2018 to 31 December 2022). The outcome of the study was the prediction of an early transition to adequate oral feeding before discharge. The dataset was randomly (70/30) divided into training and test datasets. We used six ML algorithms with multiple features to construct prediction models. ML model performance was measured according to the accuracy, area under the receiver operating characteristic curve, and F1 score. We used the Boruta Method to determine the important features and interpret the selected features., Results: A total of 2298 adult inpatients who were followed by a nutrition support team for medical nutritional therapy were included. Patients received parenteral nutrition (1471/2298, 64.01%), enteral nutrition (717/2298, 31.2%), or supplemental parenteral nutrition (110/2298, 4.79%). The median (interquartile range) Nutritional Risk Screening (NRS-2002) score was 5 (1). Six prediction algorithms were used, and the artificial neural network and elastic net models achieved the greatest area under the ROC in all outcomes (AUC = 0.770). Ranked by z-value, the 10 most important features in predicting an early transition to oral feeding in the artificial neural network and elastic net algorithms were parenteral nutrition, surgical wards, surgical outcomes, enteral nutrition, age, supplemental parenteral nutrition, digestive system diseases, gastrointestinal complications, NRS-2002, and impaired consciousness., Conclusions: We developed machine learning models for the prediction of an early transition to oral feeding before discharge. Overall, there was no discernible superiority among the models. Nevertheless, the artificial neural network and elastic net methods provided the highest AUC values. Since the machine learning model is interpretable, it can enable clinicians to better comprehend the features underlying the outcomes. Our study could support personalized treatment and nutritional follow-up strategies in clinical decision making for the prediction of an early transition to oral feeding in hospitalized adult patients.

Purpose: We aimed to investigate the effects of colchicine, an important anti-inflammatory agent, on cognitive functions in a geriatric population diagnosed with gout or osteoarthritis by comparing it to non-colchicine users., Methods: 138 geriatric patients (67 colchicine users and 71 non-users) were enrolled. Within comprehensive geriatric assessment (CGA), cognitive status assessment via Mini-Mental State Examination test (MMSE), Quick Mild Cognitive Impairment Screening test (Qmci), clock drowning test (CDT), and digit span tests were performed., Results: Median age was 68 (65-72), and there were 82 female (59.4%) patients. The scores of CDT, Backward Digit Span Test, MMSE-Total, MMSE-Attention, MMSE-Motor Function, Qmci-Total Score, Qmci-Clock drawing, and Qmci-Logical Memory were significantly higher in the colchicine user group (p < .005), showing better cognitive function. Adjusted model analysis showed that colchicine usage is independently correlated with higher Qmci-Total Score and Qmci-Logical Memory Score (For Qmci total score β = 7.87 95%CI = 5.48-10.27, p = <0.0001, and for Qmci Logical memory score β = 3.52, 95%CI = 2.12-4.91, p = <0.0001)., Conclusion: To the best of our knowledge, this is the first study revealing that colchicine usage is associated with better cognitive performance in older adults. Further investigations with a prospective, larger-sampled and randomized design are needed to show the causal relationship between colchicine and cognition.

Background and Purpose: Cognitive impairment is one of the main risk factors for falls, and hence it commonly coexists with balance issues. Frailty and sarcopenia are intertwined and prevalent in dementia, and are closely related to falls. We aimed to determine the relationships of the fall risk with balance disturbances, sarcopenia, and frailty in mild-to-moderate Alzheimer's disease (AD)., Methods: The study enrolled 56 patients with probable AD. A comprehensive geriatric assessment was performed, and muscle strength and mass, performance status, gait, and balance were evaluated. All parameters were compared between fallers and nonfallers with AD., Results: Fallers comprised 53.6% of the study population. The demographic features and AD stages did not differ between fallers and nonfallers. Fallers were more frail than nonfallers ( p <0.05). Frailty was found to be independently associated with fall history (odds ratio=2.15, 95% confidence interval=1.20-3.82, p =0.031). We found that falls were not associated with AD stage, muscle mass and function, balance and geriatric syndromes except urinary incontinence in patients with AD ( p >0.05)., Conclusions: We found that falls were not influenced by AD stage. Both physical and cumulative frailty were strongly associated with falls in patients with mild-to-moderate AD., Competing Interests: The authors have no potential conflicts of interest to disclose., (Copyright © 2023 Korean Neurological Association.)

Background and Aims: This study aimed to investigate the potential role of shear-wave elastography (SWE) in evaluating muscle quality and assess its association with muscle strength and mass., Methods: A total of 129 patients aged 18-87 years were included. Patients aged >65 years underwent comprehensive geriatric assessment. Anthropometric measurements, assessment of physical performance, muscle strength (handgrip strength [HGS]), muscle mass (B-mode muscle ultrasonography), and muscle quality (identified via SWE) were performed for all patients., Results: The median (interquartile range) age of participants was 69 (59-76) years and 62% (n = 80) were female. According to HGS, patients were divided into normal and low HGS groups, and there were 85 (65.9%) and 44 (34.1%) patients in each group, respectively. The median average value of SWE measurement (V mean ) of the rectus femoris (RF) in passive stretching was significantly lower in the low HGS group. In regression analyses, V mean was significantly associated with HGS independently of age, sex, and body mass index. Optimal cutoff values of the V mean value (m/s) of RF in passive stretching for predicting low HGS were ≤2.62 for male (area under the curve [AUC], 0.882; 95% CI, 0.705-0.938; P = <0.0001), and ≤2.52 for female (AUC, 0.719; 95% CI, 0.605-0.833; P = 0.002)., Conclusion: To the best of our knowledge, this is the first study revealing SWE is a good predictor of muscle strength, and it could be a useful tool for evaluating muscle quality in clinical practice. Further randomized controlled studies are needed to confirm the presented cutoff values., (© 2022 American Society for Parenteral and Enteral Nutrition.)

Objectives: Osteosarcopenic obesity (OSO; also known as adiposity) is the combination of three critical conditions. This study aimed to define OSO using muscle ultrasonography (US), and examine the relationship between OSO and frailty compared with its constituent components., Methods: A total of160 geriatric patients with a body mass index of ≥30 were enrolled in the study. We obtained US measurements of the rectus femoris thickness and cross-sectional area (RFCSA). OSO was defined as the combination of low muscle function (defined by handgrip strength <27 kg in men and <16 kg in women), low muscle mass (RFCSA ≤5.22 cm 2 ), and the clinical diagnosis of osteoporosis. The modified Fried Frailty Index and Clinical Frailty Scale were used to identify frailty., Results: The median age of participants was 72 y, and 83% (n = 137) were female. Patients were divided into four categories: Obese (n = 72; 43.6%), osteoporotic obese (n = 44; 26.7%), sarcopenic obese (n = 19; 11.5%), and osteosarcopenic obese (n = 25; 15.2%). In the subgroup analysis, the prevalence of frailty was significantly higher in the OSO group than in the other groups on both frailty scales (P < 0.05). The regression analysis showed that OSO significantly increased frailty status when adjusted for confounders detailed in Table 1 (Fried Frailty Index: odds ratio: 5.10; 95% confidence interval, 1.669-15.132; P = 0.004; Clinical Frailty Scale: odds ratio: 3.765; 95% confidence interval, 1.236-11.465; P = 0.020)., Conclusions: US-defined OSO is strongly associated with frailty in older adults according to the first study to define OSO using RFCSA measures., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: The most important disadvantage of surgical mask usage is that it can aversely affect communication. This study aimed to evaluate the possible effects of face masks on the cognitive test performance of older adults., Methods: A total of 198 geriatric patients were enrolled after applying the exclusion criteria. Within the comprehensive geriatric assessment (CGA), cognitive status assessment was performed with the Mini-Mental State Examination test (MMSE) and Quick Mild Cognitive Impairment Screening test (Q-MCI) tests., Results: The median age was 70 (66-77) years, and there were 119 female (60.7%) patients. Patients were divided into normal cognitive status (NC), mild cognitive impairment (MCI), and probable Alzheimer's disease (AD) groups. There were 129 (65.2%), 30 (15.2%), and 37 (18.7%) patients in each group, respectively. For differentiating MCI from NC, calculated optimal cut-offs for the Q-MCI and MMSE total scores were ≤50 (sensitivity 83.3%, specificity 90.7%) and ≤26 (sensitivity 63.3%, specificity 87.5%), respectively. For differentiating AD from MCI, calculated optimal cut-offs for the Q-MCI and MMSE total scores were ≤28 (sensitivity 76.8%, specificity 86.7%), and ≤24 (sensitivity 94.4%, specificity 64.5%), respectively., Conclusion: Our results revealed that screening tests are still sensitive in discriminating cognitive disorders although cut-offs are lower with mask usage than for previously validated cut-offs. This is the first study revealing the impact of surgical mask usage on cognitive test performance, indicating that cut-offs validated before the pandemic may cause overdiagnosing of cognitive disorders since the previous cut-offs are not validated for mask usage. Large sample studies are needed to determine new cut-offs validated with mask usage., (© 2022 Japanese Psychogeriatric Society.)

Purpose: Frailty, orthostatic blood pressure changes (OBPC), and orthostatic intolerance syndrome (OIS) are common in geriatric patients. However, the results of the studies evaluating the relationship between these entities are discordant. We aimed to investigate the association between frailty and OIS with or without OBPC., Methods: Comprehensive geriatric assessment (CGA), frailty assessment, OBPC evaluations in the active-standing test (1st, 3rd, 5th, and 10th min), OIS investigation both in history before the test (self-reported OIS) and emerged during the active-standing test, and sarcopenia assessment via BIA and handgrip strength (HGS) were performed in 102 geriatric outpatients., Results: Patients were divided into three categories according to their frailty status (non-frail, prefrail, and frail) by Modified Fried Frailty Index (FFI) and Clinical Frailty Scale (CFS). Prevalence of self-reported OIS and OIS during the test were statistically higher in the frail group assessed by both frailty scales (P value: 0.001 for CFS, P value < 0.0001 for FFI, and P value: 0.001 for CFS, P value: 0.007 for FFI, respectively). Logistic regression analysis showed that OIS significantly increased frailty assessed both by FFI and CFS, when adjusted for age, sex, comorbidities, CGA, and sarcopenia (For FFI, OR: 19.37; 95% CI: 2.38-157.14; P value: 0.006 and for CFS OR: 4.32; 95% CI: 1.184-11.47; P value: 0.003, respectively)., Conclusion: To the best of our knowledge, this is the first study defining OIS as symptoms both self-reported and provoked during the test, and showed a strong correlation between OIS and frailty. OIS may be defined as a multifactorial and independent marker for frailty, regardless of OBPC. Further prospective investigations are warranted to support the relationships between OIS and frailty., (© 2022. The Author(s), under exclusive licence to European Geriatric Medicine Society.)

Background: Sars-CoV-2 infection influences older individuals at the forefront, and there is still limited data on the COVID-19 vaccine response in the geriatric population. This study aimed to assess antibody response after vaccination with SARS-CoV-2 inactivated vaccine and examine possible factors affecting this response in a geriatric population., Methods: individuals who have been on at least the 28th day after the second dose of the COVID-19 vaccine were included. Comprehensive geriatric assessment tools and the Clinical Frailty Scale were performed. SARS-CoV-2 spike-specific IgG antibodies were detected and, levels ≥1 U/ml were defined as seropositive, <1 U/ml were defined as seronegative., Results: a total of 497 patients were included and divided into three groups according to the days past after the second dose of the vaccine (Group 1: 28-59 days, Group 2: 60-89 days and Group 3: 90 days and more). Groups included 188, 148 and 171 patients, respectively. Seropositivity rate in each group was 80.9,73.2 and 57.3%, respectively. In Groups 1 and 2, Charlson Comorbidity Index score was higher in the seronegative group (P = 0.023 and P = 0.011, respectively). In Group 3, the prevalence of frailty was significantly higher in the seronegative group (P = 0.002)., Conclusion: to the best of our knowledge, this is the first study assessing the antibody response after vaccination with Sars-CoV 2 inactivated vaccine in the Turkish geriatric population. Moreover, this is the first study revealing the relationship between antibody response and frailty. Larger studies are needed to confirm the antibody response duration and the association between frailty and COVID-19 vaccine response., (© The Author(s) 2022. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)