Does proactive care in care homes improve survival? A quality improvement project.

BACKGROUND: NHS England's 'Enhanced Health in Care Homes' specification aims to make the healthcare of care home residents more proactive. Primary care networks (PCNs) are contracted to provide this, but approaches vary widely: challenges include frailty identification, multidisciplinary team (MDT) capability/capacity and how the process is structured and delivered. AIM: To determine whether a proactive healthcare model could improve healthcare outcomes for care home residents. DESIGN AND SETTING: Quality improvement project involving 429 residents in 40 care homes in a non-randomised crossover cohort design. The headline outcome was 2-year survival. METHOD: All care home residents had healthcare coordinated by the PCN's Older Peoples' Hub. A daily MDT managed the urgent healthcare needs of residents. Proactive healthcare, comprising information technology-assisted comprehensive geriatric assessment (i-CGA) and advanced care planning (ACP), were completed by residents, with prioritisation based on clinical needs.Time-dependent Cox regression analysis was used with patients divided into two groups:Control group: received routine and urgent (reactive) care only.Intervention group: additional proactive i-CGA and ACP. RESULTS: By 2 years, control group survival was 8.6% (n=108), compared with 48.1% in the intervention group (n=321), p<0.001. This represented a 39.6% absolute risk reduction in mortality, 70.2% relative risk reduction and the number needed to treat of 2.5, with little changes when adjusting for confounding variables. CONCLUSION: A PCN with an MDT-hub offering additional proactive care (with an i-CGA and ACP) in addition to routine and urgent/reactive care may improve the 2-year survival in older people compared with urgent/reactive care alone.

Correlation between geriatric nutritional risk index and intradialytic hypotension in elderly patients undergoing maintenance hemodialysis: a case-control study.

BACKGROUND: There is a correlation between nutritional status and treatment outcomes and long-term survival in MHD patients but there is limited research on the relationship between GNRI and IDH. This case-control study aimed to investigate the correlation between Geriatric Nutritional Risk Index (GNRI) and intradialytic hypotension (IDH) in elderly patients undergoing maintenance hemodialysis (MHD). METHODS: This study was carried out on 129 cases of MHD patients with IDH and 258 non-IDH-controls in Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China, between June 2020 and May 2022. Professional researchers collected patients' general information on gender, primary disease, dialysis-related indicators, anthropometric measures, laboratory biochemicals, and GNRI. Logistic regression analysis was used to evaluate the correlation between GNRI and IDH. RESULTS: A total of 385 elderly MHD patients were included. Compared with GNRI Q4 group, the odds ratios for the risk of IDH in GNRI Q3 group, GNRI Q2 group, and GNRI Q1 group of elderly MHD patients were 1.227, 2.196, and 8.350, respectively, showing a significant downward trend (P-trend < 0.05). The area under the curve of GNRI for predicting IDH was 0.839 (95% CI: 0.799-0.879). Between different genders, a decrease in GNRI was closely related to an increase in IDH risk (P for trend < 0.05). CONCLUSIONS: This research shows a significant association between GNRI and the incidence of IDH among elderly MHD patients and has an important warning effect. Encouraging the incorporation of GNRI assessment into the clinical assessment protocols of older patients with MHD may help to improve the nutritional status of those suffering from it and reduce the risk of IDH.

Adaptation of the Risk Analysis Index for Frailty Assessment Using Diagnostic Codes.

Importance: Frailty is associated with adverse outcomes after even minor physiologic stressors. The validated Risk Analysis Index (RAI) quantifies frailty; however, existing methods limit application to in-person interview (clinical RAI) and quality improvement datasets (administrative RAI). Objective: To expand the utility of the RAI utility to available International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) administrative data, using the National Inpatient Sample (NIS). Design, Setting, and Participants: RAI parameters were systematically adapted to ICD-10-CM codes (RAI-ICD) and were derived (NIS 2019) and validated (NIS 2020). The primary analysis included survey-weighed discharge data among adults undergoing major surgical procedures. Additional external validation occurred by including all operative and nonoperative hospitalizations in the NIS (2020) and in a multihospital health care system (UPMC, 2021-2022). Data analysis was conducted from January to May 2023. Exposures: RAI parameters and in-hospital mortality. Main Outcomes and Measures: The association of RAI parameters with in-hospital mortality was calculated and weighted using logistic regression, generating an integerized RAI-ICD score. After initial validation, thresholds defining categories of frailty were selected by a full complement of test statistics. Rates of elective admission, length of stay, hospital charges, and in-hospital mortality were compared across frailty categories. C statistics estimated model discrimination. Results: RAI-ICD parameters were weighted in the 9 548 206 patients who were hospitalized (mean [SE] age, 55.4 (0.1) years; 3 742 330 male [weighted percentage, 39.2%] and 5 804 431 female [weighted percentage, 60.8%]), modeling in-hospital mortality (2.1%; 95% CI, 2.1%-2.2%) with excellent derivation discrimination (C statistic, 0.810; 95% CI, 0.808-0.813). The 11 RAI-ICD parameters were adapted to 323 ICD-10-CM codes. The operative validation population of 8 113 950 patients (mean [SE] age, 54.4 (0.1) years; 3 148 273 male [weighted percentage, 38.8%] and 4 965 737 female [weighted percentage, 61.2%]; in-hospital mortality, 2.5% [95% CI, 2.4%-2.5%]) mirrored the derivation population. In validation, the weighted and integerized RAI-ICD yielded good to excellent discrimination in the NIS operative sample (C statistic, 0.784; 95% CI, 0.782-0.786), NIS operative and nonoperative sample (C statistic, 0.778; 95% CI, 0.777-0.779), and the UPMC operative and nonoperative sample (C statistic, 0.860; 95% CI, 0.857-0.862). Thresholds defining robust (RAI-ICD <27), normal (RAI-ICD, 27-35), frail (RAI-ICD, 36-45), and very frail (RAI-ICD >45) strata of frailty maximized precision (F1 = 0.33) and sensitivity and specificity (Matthews correlation coefficient = 0.26). Adverse outcomes increased with increasing frailty. Conclusion and Relevance: In this cohort study of hospitalized adults, the RAI-ICD was rigorously adapted, derived, and validated. These findings suggest that the RAI-ICD can extend the quantification of frailty to inpatient adult ICD-10-CM-coded patient care datasets.

Geriatric End-of-Life Screening Tool Prediction of 6-Month Mortality in Older Patients.

Importance: Emergency department (ED) visits by older adults with life-limiting illnesses are a critical opportunity to establish patient care end-of-life preferences, but little is known about the optimal screening criteria for resource-constrained EDs. Objectives: To externally validate the Geriatric End-of-Life Screening Tool (GEST) in an independent population and compare it with commonly used serious illness diagnostic criteria. Design, Setting, and Participants: This prognostic study assessed a cohort of patients aged 65 years and older who were treated in a tertiary care ED in Boston, Massachusetts, from 2017 to 2021. Patients arriving in cardiac arrest or who died within 1 day of ED arrival were excluded. Data analysis was performed from August 1, 2023, to March 27, 2024. Exposure: GEST, a logistic regression algorithm that uses commonly available electronic health record (EHR) datapoints and was developed and validated across 9 EDs, was compared with serious illness diagnoses as documented in the EHR. Serious illnesses included stroke/transient ischemic attack, liver disease, cancer, lung disease, and age greater than 80 years, among others. Main Outcomes and Measures: The primary outcome was 6-month mortality following an ED encounter. Statistical analyses included area under the receiver operating characteristic curve, calibration analyses, Kaplan-Meier survival curves, and decision curves. Results: This external validation included 82 371 ED encounters by 40 505 unique individuals (mean [SD] age, 76.8 [8.4] years; 54.3% women, 13.8% 6-month mortality rate). GEST had an external validation area under the receiver operating characteristic curve of 0.79 (95% CI, 0.78-0.79) that was stable across years and demographic subgroups. Of included encounters, 53.4% had a serious illness, with a sensitivity of 77.4% (95% CI, 76.6%-78.2%) and specificity of 50.5% (95% CI, 50.1%-50.8%). Varying GEST cutoffs from 5% to 30% increased specificity (5%: 49.1% [95% CI, 48.7%-49.5%]; 30%: 92.2% [95% CI, 92.0%-92.4%]) at the cost of sensitivity (5%: 89.3% [95% CI, 88.8-89.9]; 30%: 36.2% [95% CI, 35.3-37.1]). In a decision curve analysis, GEST outperformed serious illness criteria across all tested thresholds. When comparing patients referred to intervention by GEST with serious illness criteria, GEST reclassified 45.1% of patients with serious illness as having low risk of mortality with an observed mortality rate 8.1% and 2.6% of patients without serious illness as having high mortality risk with an observed mortality rate of 34.3% for a total reclassification rate of 25.3%. Conclusions and Relevance: The findings of this study suggest that both serious illness criteria and GEST identified older ED patients at risk for 6-month mortality, but GEST offered more useful screening characteristics. Future trials of serious illness interventions for high mortality risk in older adults may consider transitioning from diagnosis code criteria to GEST, an automatable EHR-based algorithm.

The bidirectional relationship between activities of daily living and frailty during short-and long-term follow-up period among the middle-aged and older population: findings from the Chinese nationwide cohort study.

Objective: Frailty and activities of daily living (ADL) disability are common conditions among older population. Studies on the bidirectional relationship between frailty and ADL are limited. The current study examined the cross-sectional and longitudinal associations between frailty and ADL in middle-aged and older Chinese individuals. Methods: The data was collected through the China Health and Retirement Longitudinal Study (CHARLS), conducted in 2011, 2013, and 2015, encompassing 17,284 individuals aged ≥45 years. We excluded individuals without follow-up data. 2,631 participants finished the baseline survey. The definition of ADL disability encompasses difficulty in engaging in either basic activities of daily living (BADL) or instrumental activities of daily living (IADL). Frailty was assessed according to the Fried criteria. Logistic regression was utilized to examine odds ratios (ORs) and 95% confidence intervals (CIs) for assessing the cross-sectional relationships between ADL with frailty at baseline. The prediction effects were explored using Cox proportional hazards analysis, testing hazard ratios (HRs) and 95%CIs. Results: In cross-sectional analysis, BADL [OR = 6.660 (4.519-9.815)], IADL [OR = 5.950 (4.490-7.866)], and ADL [OR = 5.658 (4.278-7.483)] exhibited significant associations with frailty; frailty demonstrated significant associations with BADL [OR = 6.741 (4.574-9.933)], IADL [OR = 6.042 (4.555-8.016)] and ADL [OR = 5.735 (4.333-7.591)]. In longitudinal analysis, IADL and ADL were significantly associated with frailty in participants without baseline frailty in the short-term period [IADL: HR = 1.971 (1.150-3.379), ADL: HR = 1.920 (1.146-3.215)], IADL exhibited a significant association with frailty in the long-term period [HR = 2.056 (1.085-3.895)]. There was no significant link observed between frailty and an elevated risk of disability onset in BADL, IADL and ADL during the short-term period. When considering the long-term perspective, frailty exhibited a significant association with an elevated risk of disability onset in BADL [HR= 1.820 (1.126-2.939)] and IADL [HR = 1.724 (1.103-2.694)]. Conclusion: In middle-aged and older adults, ADL and IADL disability predicted frailty after 2-year follow-up, IADL disability predicted frailty after 4-year follow-up. Moreover, frailty did not predict BADL, IADL and ADL disability after 2-year follow-up. However, frailty predicted BADL and IADL disability after 4-year follow-up.

[Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil]. / Diferenças entre homens e mulheres na prevalência da fragilidade e fatores associados entre adultos mais velhos: evidências do ELSI-Brasil.

Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.

Este trabalho, baseado em amostra nacional representativa da população com 50 anos ou mais, objetivou estimar a prevalência da fragilidade entre homens e mulheres, identificar fatores sociodemográficos e de saúde associados e estimar a fração atribuível populacional. Foram utilizados dados da segunda onda (2019-2021) do Estudo Longitudinal da Saúde dos Idosos Brasileiros (ELSI-Brasil). A fragilidade foi classificada pelo número de itens positivos entre perda de peso não intencional, exaustão, baixo nível de atividade física, lentidão da marcha e fraqueza. As análises principais foram baseadas na regressão logística multinomial estratificada por sexo. A prevalência da fragilidade foi menor nos homens (8,6%; IC95%: 6,9; 10,7) do que nas mulheres (11,9%; IC95%: 9,6; 14,8), sendo o item mais frequente o baixo nível de atividade física em ambos. A idade e a escolaridade foram os fatores sociodemográficos associados à pré-fragilidade e à fragilidade entre homens e mulheres. Houve diferença da fração atribuível populacional para fragilidade entre os sexos. Nos homens, a maior fração atribuível populacional foi para não ter companheiro (23,5%; IC95%: 7,7; 39,2) e escolaridade baixa (18,2%; IC95%: 6,6; 29,7). Nas mulheres, maiores frações atribuíveis populacionais foram para déficit de memória (17,1%; IC95%: 7,6; 26,6), déficit da visão (13,4%; IC95%: 5,1; 21,7) e diabetes mellitus (11,4%; IC95%: 4,6; 18,1). Observou-se fração atribuível populacional semelhante para doença cardíaca (8,9%; IC95%: 3,8; 14,1, em mulheres; e 8,8%; IC95%: 2,0; 15,6, em homens). Estratégias voltadas para a prática de atividade física têm o potencial de prevenir a fragilidade em ambos os sexos, enquanto a prevenção de condições crônicas é mais importante nas mulheres.

Este estudio tuvo por objetivo estimar, utilizando una muestra nacional representativa de la población de 50 años o más, la prevalencia de la fragilidad entre hombres y mujeres, identificar los factores sociodemográficos y de salud asociados, y calcular la fracción atribuible a la población. Se utilizaron datos de la 2ª ola (2019-2021) del Estudio Longitudinal de Salud de los Ancianos Brasileños (ELSI-Brasil). La fragilidad se clasificó por el número de elementos positivos entre pérdida de peso no intencional, agotamiento, bajo nivel de actividad física, marcha lenta y debilidad. Los principales análisis se basaron en la regresión logística multinomial estratificada por sexo. La prevalencia de fragilidad fue menor en los hombres (8,6%; IC95%: 6,9; 10,7) que en las mujeres (11,9%; IC95%: 9,6; 14,8), y como ítem más frecuente el bajo nivel de actividad física en ambos. La edad y el nivel educativo fueron los factores sociodemográficos asociados a la pre-fragilidad y la fragilidad entre hombres y mujeres. Hubo una diferencia en fracción atribuible a la población para la fragilidad entre los sexos. Entre los hombres, la fracción atribuible a la población más elevada fue no tener pareja (23,5%; IC95%: 7,7; 39,2) y bajo nivel educativo (18,2%; IC95%: 6,6; 29,7). Entre las mujeres, las fracción atribuible a la población más elevadas fueron déficit de memoria (17,1%; IC95%: 7,6; 26,6), déficit de visión (13,4%; IC95%: 5,1; 21,7) y diabetes mellitus (11,4%; IC95%: 4,6; 18,1). Se observaron fracción atribuible a la población similares para enfermedades cardíacas (8,9%; IC95%: 3,8; 14,1 en mujeres, y 8,8%; IC95%: 2,0; 15,6 en hombres). Las estrategias dirigidas a la actividad física tienen el potencial de prevenir la fragilidad en ambos sexos, mientras que la prevención de enfermedades crónicas es más necesaria en las mujeres.

Geriatric nutritional risk index as a predictor for fragility fracture risk in elderly with type 2 diabetes mellitus: A 9-year ambispective longitudinal cohort study.

BACKGROUND & AIMS: The elderly are prone to fragility fractures, especially those suffering from type 2 diabetes mellitus (T2DM) combined with osteoporosis. Although studies have confirmed the association between GNRI and the prevalence of osteoporosis, the relationship between GNRI and fragility fracture risk and the individualized 10-year probability of osteoporotic fragility fractures estimated by FRAX remains unclear. This study aims to delve into the association between the GNRI and a fragility fracture and the 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) evaluated by FRAX in elderly with T2DM. METHODS: A total of 580 patients with T2DM aged ≥60 were recruited in the study from 2014 to 2023. This research is an ambispective longitudinal cohort study. All participants were followed up every 6 months for 9 years with a median of 3.8 years through outpatient services, medical records, and home fixed-line telephone interviews. According to the tertiles of GNRI, all subjects were divided into three groups: low-level (59.72-94.56, n = 194), moderate-level (94.56-100.22, n = 193), and high-level (100.22-116.45, n = 193). The relationship between GNRI and a fragility fracture and the 10-year probability of HF and MOF calculated by FRAX was assessed by receiver operating characteristic (ROC) analysis, Spearman correlation analyses, restricted cubic spline (RCS) analyses, multivariable Cox regression analyses, stratified analyses, and Kaplan-Meier survival analysis. RESULTS: Of 580 participants, 102 experienced fragile fracture events (17.59%). ROC analysis demonstrated that the optimal GNRI cut-off value was 98.58 with a sensitivity of 75.49% and a specificity of 47.49%, respectively. Spearman partial correlation analyses revealed that GNRI was positively related to 25-hydroxy vitamin D [25-(OH) D] (r = 0.165, P < 0.001) and bone mineral density (BMD) [lumbar spine (LS), r = 0.088, P = 0.034; femoral neck (FN), r = 0.167, P < 0.001; total hip (TH), r = 0.171, P < 0.001]; negatively correlated with MOF (r = -0.105, P = 0.012) and HF (r = -0.154, P < 0.001). RCS analyses showed that GNRI was inversely S-shaped dose-dependent with a fragility fracture event (P < 0.001) and was Z-shaped with the 10-year MOF (P = 0.03) and HF (P = 0.01) risk assessed by FRAX, respectively. Multivariate Cox regression analysis demonstrated that compared with high-level GNRI, moderate-level [hazard ratio (HR) = 1.950; 95% confidence interval (CI) = 1.076-3.535; P = 0.028] and low-level (HR = 2.538; 95% CI = 1.378-4.672; P = 0.003) had an increased risk of fragility fracture. Stratified analysis exhibited that GNRI was negatively correlated with the risk of fragility fracture, which the stratification factors presented in the forest plot were not confounding factors and did not affect the prediction effect of GNRI on the fragility fracture events in this overall cohort population (P for interaction > 0.05), despite elderly females aged ≥70, with body mass index (BMI) ≥24, hypertension, and with or without anemia (all P < 0.05). Kaplan-Meier survival analysis identified that the lower-level GNRI group had a higher cumulative incidence of fragility fractures (log-rank, all P < 0.001). CONCLUSION: This study confirms for the first time that GNRI is negatively related to a fragility fracture and the 10-year probability of osteoporotic fragility fractures assessed by FRAX in an inverse S-shaped and Z-shaped dose-dependent pattern in elderly with T2DM, respectively. GNRI may serve as a valuable predictor for fragility fracture risk in elderly with T2DM. Therefore, in routine clinical practice, paying attention to the nutritional status of the elderly with T2DM and giving appropriate dietary guidance may help prevent a fragility fracture event.

Growth differentiation factor 15 and malnutrition in older adults.

OBJECTIVES: Growth differentiation factor 15 (GDF-15) levels increase due to systemic inflammation and chronic disease burden. Since these biological processes are pathogenic factors of malnutrition, we examined the prospective association between GDF-15 serum levels and subsequent malnutrition in older adults. METHODS: We used data from 723 women and 735 men aged ≥65 years [mean age (SD): 71.3 (4.18) years] participating in the Seniors-ENRICA-2 cohort, who were followed-up for 2.2 years. Malnutrition was assessed with the Mini Nutritional Assessment-Short form (MNA-SF), where a 12-14 score indicates normal nutritional status, an 8-11 score indicates at risk of malnutrition, and a 0-7 score malnutrition. Associations of GDF-15 and malnutrition were analyzed, separately in women and men, using linear and logistic regression and adjusted for the main potential confounders. RESULTS: The mean (SD) MNA-SF score at baseline was 13.2 (1.34) for women and 13.5 (1.13) for men. Incident malnutrition (combined endpoint "at risk of malnutrition or malnutrition") over 2.2 years was identified in 55 (9.7%) of women and 38 (5.4%) of men. In women, GDF-15 was linearly associated with a decrease in the MNA-SF score; mean differences (95% confidence interval) in the MNA-SF score were -0.07 (-0.13; -0.01) points per 25% increase in GDF-15, and -0.49 (-0.83; -0.16) for the highest versus lowest quartile of GDF-15. Also in women, GDF-15 was linearly associated with a higher malnutrition incidence, with odds ratio (95% confidence interval) of 1.24 (1.06; 1.46) per 25% increment in GDF-15 and of 3.05 (1.21; 7.65) for the highest versus lowest quartile of GDF-15. Results were similar after excluding subjects with cardiovascular disease and diabetes. No association of GDF-15 with changes in MNA score or malnutrition incidence was found in men. CONCLUSION: Higher serum GDF-15 concentrations are associated with worsening nutritional status in older women. Further studies should elucidate the reasons for the sex differences in this association and explore the therapeutic potential of modifying GDF-15 to prevent malnutrition.

Prevalence and factors associated with sarcopenia among Brazilian older adults: An exploratory network analysis.

OBJECTIVES: This study aimed to verify the prevalence of sarcopenia and its associations with sociodemographic, clinical and psychological factors in community-dwelling older adults. STUDY DESIGN: A randomized cross-sectional study was extracted from a probabilistic cluster conducted on individuals aged 65 years or older residing in the community. METHODS: Sarcopenia was defined according to the criteria of the European Working Group on Sarcopenia in Older People (EWGSOP2). Body composition was assessed using dual-energy X-ray absorptiometry (DXA). Associations were analyzed using networks based on mixed graphical models. Predictability indices of the estimated networks were assessed using the proportion of explained variance for numerical variables and the proportion of correct classification for categorical variables. RESULTS: The study included 278 participants, with a majority being female (61 %). The prevalence of sarcopenia was 39.57 %. Among those with sarcopenia, 67 % were women and 33 % were men. In the network model, age, race, education, family income, bone mass, depression, cardiovascular disease, diabetes, total cholesterol levels and rheumatism were associated with sarcopenia. The covariates demonstrated a high accuracy (62.9 %) in predicting sarcopenia categories. CONCLUSION: The prevalence of sarcopenia was high, especially in women. In addition, network analysis proved useful in visualizing complex relationships between sociodemographic and clinical factors with sarcopenia. The results suggest early screening of sarcopenia for appropriate treatment of this common geriatric syndrome in older adults in Brazil.

Association between oral frailty and sarcopenia among frailty clinic outpatients: A cross-sectional study.

OBJECTIVES: In this study, we aimed to investigate the prevalence of oral frailty and explore its relationship with oral function and sarcopenia among older outpatients. MATERIALS AND METHODS: In this cross-sectional study, we retrospectively included older patients who visited a frailty outpatient clinic. We assessed total oral frailty employing, among other measures, oral diadochokinesis (/ta/ sound) for tongue-lip movement and tongue pressure. Patients who did not meet the cut-off values for three or more of these were classified as having oral frailty. Sarcopenia was assessed according to Asian Working Group for Sarcopenia 2019 criteria and analyzed for the relationship with oral function. RESULTS: The mean ± standard deviation age of the 111 patients was 77.2 ± 5.7 y; 63 were women (57%). Fifteen patients (14%) had either sarcopenia or dynapenia. The overall prevalence of oral frailty was 38%, with no significant difference in its prevalence between the sarcopenia/dynapenia group (44%) and the robust (no sarcopenia/dynapenia) group (35%). The following oral function assessments significantly differed between the sarcopenia/dynapenia group and the robust group: median (interquartile range) total oral frailty score, 2 (2-4) and 2 (1-3) (P = 0.019); tongue-lip motor function, 5.4 ± 1.2 and 5.9 ± 1.2 times/s (P = 0.049); and tongue pressure, 27.3 ± 8.5 kPa and 31.7 ± 8.0 kPa (P = 0.009). CONCLUSIONS: Approximately 40% of patients exhibited a decline in oral function regardless of the presence of sarcopenia. Sarcopenia and dynapenia may particularly affect tongue function. Although assessing patients for sarcopenia is crucial, separate evaluations of oral function should also be considered.

Interpretable prediction models for disability in older adults with hypertension: the Chinese Longitudinal Healthy Longevity and Happy Family Study.

BACKGROUND: Older adults with hypertension have a high risk of disability, while an accurate risk prediction model is still lacking. This study aimed to construct interpretable disability prediction models for older Chinese with hypertension based on multiple time intervals. METHODS: Data were collected from the Chinese Longitudinal Healthy Longevity and Happy Family Study for 2008-2018. A total of 1602, 1108, and 537 older adults were included for the periods of 2008-2012, 2008-2014, and 2008-2018, respectively. Disability was measured by basic activities of daily living. Least absolute shrinkage and selection operator (LASSO) was applied for feature selection. Five machine learning algorithms combined with LASSO set and full-variable set were used to predict 4-, 6-, and 10-year disability risk, respectively. Area under the receiver operating characteristic curve was used as the main metric for selection of the optimal model. SHapley Additive exPlanations (SHAP) was used to explore important predictors of the optimal model. RESULTS: Random forest in full-variable set and XGBoost in LASSO set were the optimal models for 4-year prediction. Support vector machine was the optimal model for 6-year prediction on both sets. For 10-year prediction, deep neural network in full variable set and logistic regression in LASSO set were optimal models. Age ranked the most important predictor. Marital status, body mass index, score of Mini-Mental State Examination, and psychological well-being score were also important predictors. CONCLUSIONS: Machine learning shows promise in screening out older adults at high risk of disability. Disability prevention strategies should specifically focus on older patients with unfortunate marriage, high BMI, and poor cognitive and psychological conditions.

Joint trajectories of physical frailty and social frailty and associations with adverse outcomes: A prospective cohort study.

BACKGROUND: We examined joint trajectories of physical frailty and social frailty as well as their associations with adverse outcomes. METHODS: We conducted a prospective cohort study by using five waves of national data from China Health and Retirement Longitudinal Study (CHARLS 2011-2020), involving 4531 participants aged ≥60 years. We identified 4-year trajectories at three examinations from 2011 to 2015 using parallel process latent class growth analysis. Adverse outcomes were obtained from 2015 to 2020 across two subsequent waves. We calculated hazard ratios (HR) using Cox proportional hazard models. We also conducted analyses by gender. RESULTS: Three joint trajectories were identified, including persistent absence of physical and social frailty (58.5 %), no physical frailty but social frailty (28.1 %), and persistent combination of physical and social frailty (13.4 %). Compared with persistent absence of physical and social frailty, no physical frailty but social frailty and persistent combination of physical and social frailty were associated with higher risk of instrumental activities of daily living (IADL) disability (HR = 1.182-2.020, 95 % CI: 1.014-2.416) and all-cause mortality (HR = 1.440-2.486, 95 % CI: 1.211-3.009). The persistent combination of physical and social frailty was also associated with ADL disability (HR = 2.412, 95 % CI: 1.999-2.911) and falls (HR = 1.410, 95 % CI: 1.196-1.662). Gender differences were observed in relationships between joint trajectories and adverse outcomes. CONCLUSION: Community-dwelling older adults exhibit distinct joint trajectories and those with persistent combination of physical and social frailty experience greatest risk of incident adverse outcomes. Clinical and public health measures targeting physical or social frailty should account for both and be gender-specific.

Assessment of phase angle as a novel indicator for sarcopenic obesity according to the ESPEN/EASO criteria in older adults with diabetes mellitus.

BACKGROUND: Sarcopenic obesity (SO) is a clinical condition in which sarcopenia and obesity occur together, and is associated with more poor clinical outcomes, increased mortality, and morbidity than sarcopenia. Phase angle (PhA), a parameter derived from bioimpedance analysis (BIA), provides data on cellular health, membrane integrity, and cellular function. This study aimed to evaluate the relationship between SO and PhA among older adults with type 2 diabetes mellitus (DM). METHODS: We performed a cross-sectional study in a tertiary hospital, and all participants underwent a comprehensive geriatric assessment, the hand-grip strength test (HGST), the chair stand test (CST) for muscle strength evaluation, the 4-meter walking test, and the timed up-and-go (TUG) test for physical performance assessment. The diagnosis of SO was made according to the ESPEN/EASO criteria. The PhA was determined automatically by the BIA using resistance and reactance at 50 kHz for each participant. RESULTS: A total of 322 participants were included in the study. The mean age of the participants was 72.5 ±5.8, and 203 (63%) of them were female; 63 (19.6%) of them were sarcopenic obese. In multivariable logistic regression analyses, a significant relationship was found when the model was adjusted for age, female gender, MNA-sf scores, HbA1c level, and CCI scores (OR: 0.53, 95%CI: 0.29-0.98, P = 0.04). In ROC analyses, for PhA in predicting SO diagnosis, the AUC was 0.586 (95%CI: 0.505-0.678, P = 0.033). At the cut-off score 4.4, sensitivity was 57.1% and specificity was 61.4%; positive predictive value (PPV) was 26.5%; negative predictive value (NPV) was 85.5%. CONCLUSIONS: The study identified a significant relationship between SO and PhA among older adults with type 2 DM. However, larger prospective studies are needed to confirm the potential utility of PhA as a biomarker for SO.

Association between trajectories of systolic blood pressure and frailty outcome in middle-aged and older adults.

OBJECTIVES: The association between blood pressure and frailty outcome in the middle-aged and older population remains controversial. This study aimed to examine the relationship between trajectories of systolic blood pressure (SBP) and new-onset frailty. DESIGN: Cohort study with a 7-year follow-up. SETTING AND PARTICIPANTS: Data were derived from 4 waves (2011, 2013, 2015 and 2018) of the China Health and Retirement Longitudinal Study and 6168 participants aged ≥45 years were included in the study. METHODS: The frailty index (FI) was constructed based on 40 scored items, with FI ≥ 0.25 defined as frailty. We identified the 5-year trajectory of SBP by latent class trajectory modeling. The association between SBP trajectories and frailty was explored based on hazard ratios (HR) by four Cox proportional hazards models. Furthermore, we also investigated the relationship between mean SBP and systolic blood pressure variability (SBPV) and frailty. RESULTS: 6168 participants were included in this study with a mean age of 59 years. We identified five trajectories based on SBP, which are maintained low-stable SBP (T0), moderate-stable SBP (T1), remitting then increasing SBP (T2), increasing then remitting SBP (T3), and remaining stable at high SBP levels (T4). During the 7-year follow-up period, frailty outcome occurred in 1415 participants. After adjusting for other confounders, the two trajectories labeled "T2" and "T4" were associated with a higher risk of frailty compared with T0. In addition, elevated SBP and increased SBPV were associated with risk of frailty. CONCLUSIONS: Higher risk of frailty occurred in two trajectories, remitting then increasing and remaining stable at high SBP levels, were associated with a relatively higher risk of frailty.

Prevalence of social frailty and risk factors among community-dwelling older adults: A systematic review and meta-analysis.

BACKGROUND: Older people are more vulnerable to social frailty due to age, physical condition and socio-economic status. Since social frailty can lead to adverse health outcomes, it is essential to understand the current state of social frailty among community-dwelling older adults. AIMS: To consolidate existing evidence for rates of social frailty and risk factors. METHODS: Two researchers independently selected studies, extracted data, assessed the quality of the studies included in the literature, and calculated the rate of social frailty through a random-effects model with OR and 95 % CI for risk factors. RESULTS: The literature search yielded a total of 81,414 articles, with 28 articles ultimately meeting the study criteria and being included in the meta-analysis. The prevalence of social frailty among community-dwelling older adults was 20.0 % (95 % CI 15.0 %-25.0 %, I2 = 99.5 %, P < 0.001). MSFI and other criteria yielded social frailty rates of 20.6 % and 18.3 %, respectively. The rate of social frailty was 20.2 % for the cross-sectional design and 19.3 % for the cohort design. The prevalence of social frailty is 20.2 % in Asian countries and 17.4 % in European countries. The rate of social frailty is 22.0 % for those aged 75 and over and 17.9 % for those under 75. Multiple chronic conditions, a major illness, marital status, sleep quality, and depressive symptoms are associated with social frailty. CONCLUSION: Social frailty affects nearly one in five community-dwelling older adults, and having multiple chronic conditions, having a major illness, being single, poor sleep quality, and depression are all risk factors for social frailty.

Better functional recovery after acute stroke in older patients managed in a new dedicated post-stroke geriatric unit compared to usual management.

OBJECTIVES: A Stroke care Pathway dedicated to the ELders (SPEL) for patients with acute stroke was created in 2013 at the hospitals Pitié-Salpêtrière-Charles Foix (Paris, France). It is characterized by a stroke unit dedicated to emergency stroke care, and a post stroke geriatric unit (PSGU) including rehabilitation and management of geriatric syndromes. The aim of the study was to compare the functional recovery of patients transferred to PSGU versus other rehabilitation care in patients over 70 years of age after stroke. DESIGN: A cohort observational study over a 4-year period. SETTING: Hospitals Pitié-Salpêtrière and Charles Foix (Paris, France). PARTICIPANTS: We studied patients over 70 years admitted to the participating stroke unit for acute stroke consecutively hospitalized from January 1, 2013, to January 1, 2017. INTERVENTION: Patients transferred in the PSGU were compared to those admitted in other rehabilitation units. MEASUREMENTS: The primary outcome was 3-month functional recovery after stroke. The secondary outcomes were the hospital length of stay and the returning home rate. A multivariable logistic regression was applied to adjust for confounding variables (age, sex, NIHSS score and Charlson's comorbidity score). RESULTS: Among the 262 patients included in the study, those in the PGSU were significantly older, had a higher Charlson's comorbidity score and a higher initial NIHSS severity score. As compared to the other patients, functional recovery at 3 months was better in the PSGU (Rankin's score decreased by 0.80 points versus 0.41 points, p = 0.01). The average total length of stay was reduced by 16 days in the patients referred to the PSGU (p = 0.002). There was no significant difference in the returning home rate between the two groups (p = 0.88). CONCLUSION: The SPEL which includes a post-stroke geriatric unit (PSGU) has been associated with improved recovery and had a positive impact in the management of older post-stroke patients.

Performance in a Balance Test and Prediction of All-Cause Mortality in Community-Dwelling Elderly Ambulatory Individuals: A Systematic Review and Meta-analysis.

Objective: This systematic review and meta-analysis was performed to evaluate the association between an inability to perform a static balance test and mortality in community-dwelling older ambulatory individuals. Methods: PubMed, Embase, and Scopus were searched for relevant cohort studies. Hazard ratios (HR) were pooled (random-effect model). Meta-regression was performed with independent demographic variables (PROSPERO ID: CRD42022381137). Results: A total of 11,713 articles were screened and 15 were included. An inability to perform a static balance test was significantly associated with a higher risk of mortality irrespective of whether confounding variables were considered [HR, 1.14 (95% CI: 1.07-1.21); p < .001; i2, 87.96% (p < .01)] or not [HR, 1.11 (95% CI: 1.03-1.20); p = .01; i2, 95.28% (p < .01)] (both moderate GRADE evidence). Also, this association was correlated with progressive age. Conclusion: An inability to successfully complete a static balance test was significantly associated with a higher risk of mortality among community-dwelling older ambulatory individuals.

Diet Quality of Older African Americans: Impact of Knowledge and Perceived Threat of COVID-19.

Confusing health messages and environmental changes intended to prevent the spread of the COVID-19 virus have affected the dietary behavior of older African Americans. We investigated the impact of COVID-19-related factors on diet quality and the relationship between food access and diet quality. We surveyed 150 African Americans aged 55 years and above during the COVID-19 pandemic. The data obtained included socio-demographic and health information, and COVID-19-related knowledge and perceptions. Dietary intake data was obtained using the Diet History Questionnaire III. Analyses included bivariate and multivariable statistics. Overall, based on United States Department of Agriculture guidelines, the diet quality of older African Americans was poor. Lower knowledge and a lower perceived threat of COVID-19 were significantly associated with poor diet quality. Additionally, older African Americans with chronic diseases and food insecurity had poor diet quality. The COVID-19 pandemic has highlighted the fragility of diet quality. The combined impact of poor knowledge and perceived threat of COVID-19, chronic disease, and food insecurity contribute to poor diet quality in this population. This study adds to the well-known need for strategies to support the right to a healthy diet, particularly during COVID-19 and future pandemics. Proactive interventions to counteract the potential consequences of poor diets are needed.

Preoperative nutritional evaluation of prostate cancer patients undergoing laparoscopic radical prostatectomy.

BACKGROUND AND OBJECTIVE: Prostate cancer (PCa) is one of the most common malignant tumors in men. Geriatric Nutritional Risk Index (GNRI) is an objective index for evaluating nutritional status of elderly people over 65 years old. The aim of the current study was to explore the correlation and predictive value between GNRI and postoperative recovery and complications in PCa patients undergoing laparoscopic radical prostatectomy (LRP). METHODS: Taking 98 as the GNRI boundary value, 96 PCa patients (aged≥65 y) undergoing LRP in the Department of Urology, Affiliated Hospital of North Sichuan Medical College from January 2018 to December 2020 were grouped into malnutrition group (MNg, 34 patients, 35.4%) and normal nutrition group (NNg, 62 patients, 64.6%). Basic information, laboratory examination indexes, operation conditions, postoperative complications and postoperative recovery indexes of patients were recorded and retrospectively analyzed. Clavien-Dindo Classification System (CDCS) was used to assess postoperative complications. T-test was used to analyze differences between the two groups. ROC curve was generated to determine the predictive value of GNRI for postoperative complications. RESULTS: Percentage of complications was significantly higher in MNg group compared with that in NNg group (P < 0.01). The average grade based on CDCS was significantly lower in NNg group compared with that in MNg group (P < 0.01). Body weight, Body Mass Index (BMI), preoperative hemoglobin value (HGB), serum albumin (ALB) values of MNg and NNg were significantly positively correlated with GNRI (P<0.01). Incidence and severity of postoperative complications of MNg patients were significantly higher compared with those of NNg patients (P<0.05). Average hospitalization cost of MNg patients was higher in MNg patients compared with that of NNg patients (P<0.05). Duration of post-anesthesia care unit (PACU), duration of antibiotic use and duration of indwelling drainage tube were longer in MNg patients compared with those in NNg patients (P<0.05). Furthermore, volume of indwelling drainage tube was higher in MNg patients compared with that in NNg patients (P<0.05). CONCLUSION: GNRI is an effective and reliable tool for evaluation of preoperative nutritional status of prostate cancer patients. The findings showed that GNRI is correlated with postoperative recovery and complications, and is an effective predictive marker.