Predicting successful ageing among older adults seems possible even as far as two decades ahead.

BACKGROUND: Successful ageing is the term often used for depicting exceptional ageing and can be measured with multidimensional models including physical, psychological and social wellbeing. The aim of this study was to test multidimensional successful ageing models to investigate whether these models can predict successful ageing, and which individual subcomponents included in the models are most significantly associated with successful ageing. METHODS: Successful ageing was defined as the ability to live at home without daily care at the age of 84 years or over. Data on the participants' physical, psychological and social wellbeing were gathered at baseline and the follow-up period was 20 years. Four successful ageing models were constructed. Backward stepwise logistic regression analysis was used to identify the individual subcomponents of the models which best predicted successful ageing. RESULTS: All successful ageing models were able to predict ageing successfully after the 20-year follow-up period. After the backward stepwise logistic regression analysis, three individual subcomponents of four models remained statistically significant and were included in the new model: having no heart disease, having good self-rated health and feeling useful. As a model, using only these three subcomponents, the association with successful ageing was similar to using the full models. CONCLUSIONS: Multidimensional successful ageing models were able to predict successful ageing after a 20-year follow-up period. However, according to the backward stepwise logistic regression analysis, the three subcomponents (absence of heart disease, good self-rated health and feeling useful) significantly associated with successful ageing performed as well as the multidimensional successful ageing models in predicting ageing successfully.

Low grip strength and gait speed as markers of dependence regarding basic activities of daily living: the FIBRA study.

OBJECTIVE: Marincolo et al. showed that older adults without limitations in basic activities of daily living at baseline presented with an 11.7% concomitant presence of functional dependence, slow gait speed, and low muscle strength at follow-up. Slow gait speed remains a predictor of dependence in basic activities of daily living. To determine whether low muscle strength and low gait speed increase the risk of disability related to basic activities of daily living in community-dwelling older adults. METHODS: A longitudinal study (9 years of follow-up) was conducted with 390 older adults who were independent in basic activities of daily living at baseline and answered the Katz Index at follow-up. Associations were determined using Pearson's χ2 test with a 5% significance level and logistic regression analysis. RESULTS: Increases in prevalence between baseline and follow-up were observed for low muscle strength (17.5%-38.2%), slow gait speed (26.0%-81.1%), and functional dependence (10.8%-26.6%). At follow-up, 11.7% of the participants had concomitant functional dependence, slow gait speed, and low muscle strength. Slow gait speed remained a predictor of dependence in basic activities of daily living (odds ratio=1.90; 95% confidence interval=1.06-3.41). CONCLUSION: Slow gait speed is a predictor of functional dependence, constituting an important variable for screening functional decline.

The 2023 WSES guidelines on the management of trauma in elderly and frail patients.

BACKGROUND: The trauma mortality rate is higher in the elderly compared with younger patients. Ageing is associated with physiological changes in multiple systems and correlated with frailty. Frailty is a risk factor for mortality in elderly trauma patients. We aim to provide evidence-based guidelines for the management of geriatric trauma patients to improve it and reduce futile procedures. METHODS: Six working groups of expert acute care and trauma surgeons reviewed extensively the literature according to the topic and the PICO question assigned. Statements and recommendations were assessed according to the GRADE methodology and approved by a consensus of experts in the field at the 10th international congress of the WSES in 2023. RESULTS: The management of elderly trauma patients requires knowledge of ageing physiology, a focused triage, including drug history, frailty assessment, nutritional status, and early activation of trauma protocol to improve outcomes. Acute trauma pain in the elderly has to be managed in a multimodal analgesic approach, to avoid side effects of opioid use. Antibiotic prophylaxis is recommended in penetrating (abdominal, thoracic) trauma, in severely burned and in open fractures elderly patients to decrease septic complications. Antibiotics are not recommended in blunt trauma in the absence of signs of sepsis and septic shock. Venous thromboembolism prophylaxis with LMWH or UFH should be administrated as soon as possible in high and moderate-risk elderly trauma patients according to the renal function, weight of the patient and bleeding risk. A palliative care team should be involved as soon as possible to discuss the end of life in a multidisciplinary approach considering the patient's directives, family feelings and representatives' desires, and all decisions should be shared. CONCLUSIONS: The management of elderly trauma patients requires knowledge of ageing physiology, a focused triage based on assessing frailty and early activation of trauma protocol to improve outcomes. Geriatric Intensive Care Units are needed to care for elderly and frail trauma patients in a multidisciplinary approach to decrease mortality and improve outcomes.

The feasibility, acceptability and appropriateness of screening for frailty in Australians aged 75 years and over attending Australian general practice.

Background Globally, frailty is associated with a high prevalence of avoidable hospital admissions and emergency department visits, with substantial associated healthcare and personal costs. International guidelines recommend incorporation of frailty identification and care planning into routine primary care workflow to support patients who may be identified as pre-frail/frail. Our study aimed to: (1) determine the feasibility, acceptability, appropriateness and determinants of implementing a validated FRAIL Scale screening Tool into general practices in two disparate Australian regions (Sydney North and Brisbane South); and (2) map the resources and referral options required to support frailty management and potential reversal. Methods Using the FRAIL Scale Tool, practices screened eligible patients (aged ≥75years) for risk of frailty and referred to associated management options. The percentage of patients identified as frail/pre-frail, and management options and referrals made by practice staff for those identified as frail/pre-frail were recorded. Semi-structured qualitative interviews were conducted with practice staff to understand the feasibility, acceptability, appropriateness and determinants of implementing the Tool. Results The Tool was implemented by 19 general practices in two Primary Health Networks and 1071 consenting patients were assessed. Overall, 80% of patients (n =860) met the criterion for frailty: 33% of patients (n =352) were frail, and 47% were pre-frail (n =508). They were predominantly then referred for exercise prescription, medication reviews and geriatric assessment. The Tool was acceptable to staff and patients and compatible with practice workflows. Conclusions This study demonstrates that frailty is identified frequently in Australians aged ≥75years who visit their general practice. It's identification, linked with management support to reverse or reduce frailty risk, can be readily incorporated into the Medicare-funded annual 75+ Health Assessment.

Prognostic Value of Objective Social Isolation and Loneliness in Older Patients With Heart Failure: Subanalysis of FRAGILE-HF and Kitasato Cohort.

BACKGROUND: Social factors encompass a broad spectrum of nonmedical factors, including objective (social isolation [SI]) and perceived (loneliness) conditions. Although social factors have attracted considerable research attention, information regarding their impact on patients with heart failure is scarce. We aimed to investigate the prognostic impact of objective SI and loneliness in older patients with heart failure. METHODS AND RESULTS: This study was conducted using the FRAGILE-HF (Prevalence and Prognostic Value of Physical and Social Frailty in Geriatric Patients Hospitalized for Heart Failure; derivation cohort) and Kitasato cohorts (validation cohort), which included hospitalized patients with heart failure aged ≥65 years. Objective SI and loneliness were defined using the Japanese version of Lubben Social Network Scale-6 and diagnosed when the total score for objective and perceived questions on the Lubben Social Network Scale-6 was below the median in the FRAGILE-HF. The primary outcome was 1-year death. Overall, 1232 and 405 patients in the FRAGILE-HF and Kitasato cohorts, respectively, were analyzed. Objective SI and loneliness were observed in 57.8% and 51.4% of patients in the FRAGILE-HF and 55.4% and 46.2% of those in the Kitasato cohort, respectively. During the 1-year follow-up, 149 and 31 patients died in the FRAGILE-HF and Kitasato cohorts, respectively. Cox proportional hazard analysis revealed that objective SI, but not loneliness, was significantly associated with 1-year death after adjustment for conventional risk factors in the FRAGILE-HF. These findings were consistent with the validation cohort. CONCLUSIONS: Objective SI assessed using the Lubben Social Network Scale-6 may be a prognostic indicator in older patients with heart failure. Given the lack of established SI assessment methods in this population, further research is required to refine such methods.

Predictors of outcomes of patients ≥ 80 years old admitted to intensive care units in Poland - a post-hoc analysis of the VIP2 prospective observational study.

INTRODUCTION: Elderly patients pose a significant challenge to intensive care unit (ICU) clinicians. In this study we attempted to characterise the population of patients over 80 years old admitted to ICUs in Poland and identify associations between clinical features and short-term outcomes. MATERIAL AND METHODS: The study is a post-hoc analysis of the Polish cohort of the VIP2 European prospective observational study enrolling patients > 80 years old admitted to ICUs over a 6-month period. Data including clinical features, clinical frailty scale (CFS), geriatric scales, interventions within the ICU, and outcomes (30-day and ICU mortality and length of stay) were gathered. Univariate analyses comparing frail (CFS > 4) to non-frail patients and survivors to non-survivors were performed. Multivariable models with CFS, activities of daily living score (ADL), and the cognitive decline questionnaire IQCODE as predictors and ICU or 30-day mortality as outcomes were formed. RESULTS: A total of 371 patients from 27 ICUs were enrolled. Frail patients had significantly higher ICU (58% vs. 44.45%, P = 0.03) and 30-day (65.61% vs. 54.14%, P = 0.01) mortality compared to non-frail counterparts. The survivors had significantly lower SOFA score, CFS, ADL, and IQCODE than non-survivors. In multivariable analysis CFS (OR 1.15, 95% CI: 1.00-1.34) and SOFA score (OR 1.29, 95% CI: 1.19-1.41) were identified as significant predictors for ICU mortality; however, CFS was not a predictor for 30-day mortality ( P = 0.07). No statistical significance was found for ADL, IQCODE, polypharmacy, or comorbidities. CONCLUSIONS: We found a positive correlation between CFS and ICU mortality, which might point to the value of assessing the score for every patient admitted to the ICU. The older Polish ICU patients were characterised by higher mortality compared to the other European countries.

Development and Validation of a Nomogram for Predicting Nutritional Risk Based on Frailty Scores in Older Stroke Patients.

BACKGROUND: In older stroke patients with frailty, nutritional deficiencies can amplify their susceptibility, delay recovery, and deteriorate prognosis. A precise predictive model is crucial to assess their nutritional risk, enabling targeted interventions for improved clinical outcomes. OBJECTIVE: To develop and externally validate a nutritional risk prediction model integrating general demographics, physical parameters, psychological indicators, and biochemical markers. The aim is to facilitate the early identification of older stroke patients requiring nutritional intervention. METHODS: This was a multicenter cross-sectional study. A total of 570 stroke patients were included, 434 as the modeling set and 136 as the external validation set. The least absolute shrinkage selection operator (LASSO) regression analysis was used to select the predictor variables. Internal validation was performed using Bootstrap resampling (1000 iterations). The nomogram was constructed based on the results of logistic regression. The performance assessment relied on the receiver operating characteristic curve (ROC), Hosmer--Lemeshow test, calibration curves, Brier score, and decision curve analysis (DCA). RESULTS: The predictive nomogram encompassed seven pivotal variables: Activities of Daily Living (ADL), NIHSS score, diabetes, Body Mass Index (BMI), grip strength, serum albumin levels, and depression. Together, these variables comprehensively evaluate the overall health and nutritional status of elderly stroke patients, facilitating accurate assessment of their nutritional risk. The model exhibited excellent accuracy in both the development and external validation sets, evidenced by AUC values of 0.934 and 0.887, respectively. Such performance highlights its efficacy in pinpointing elderly stroke patients who require nutritional intervention. Moreover, the model showed robust goodness of fit and practical applicability, providing essential clinical insights to improve recovery and prognosis for patients prone to malnutrition. CONCLUSIONS: Elderly individuals recovering from stroke often experience significant nutritional deficiencies. The nomogram we devised accurately assesses this risk by combining physiological, psychological, and biochemical metrics. It equips healthcare providers with the means to actively screen for and manage the nutritional care of these patients. This tool is instrumental in swiftly identifying those in urgent need of targeted nutritional support, which is essential for optimizing their recovery and managing their nutrition more effectively.

Prognostic value of geriatric and cardiac parameters for one-year mortality in older heart failure patients. A multicentre, observational, prospective study.

PURPOSE: Heart failure is prevalent among older people and has a poor prognosis. The aim of this study is to identify potential prognostic, geriatric, and cardiac parameters which could help clinicians identify older heart failure patients at high risk for one-year mortality. METHODS: The multicentre, observational cohort study which included 147 heart failure patients aged ≥75 years, hospitalized in the cardiac or geriatric department in two hospitals. One-year survival was the outcome measure. For univariate analysis Chi-square test and independent sample T-test were used; for multivariate analysis Logistic regression and Cox regression for time-dependent analysis. RESULTS: One-year mortality was 28% (41/147). One-year survivors and non-survivors did not differ in the following characteristics: age, gender, sodium level at hospital discharge, ejection fraction, NYHA Class, basic and instrumental activities of daily living, and the presence of a geriatric risk profile. There was a significant lower systolic blood pressure at discharge in non-survivors compared to one-year-survivors (mean 125.26 mmHg vs. 137.59 mmHg). Non-survivors had more severe underlying comorbidities according to the age adjusted Charlson Comorbidity index (CCI) (mean 8.80 vs. 7.40).Both logistic and Cox regression showed a higher risk and rate of mortality with decreasing systolic blood pressure at discharge (OR 0.963, p=0.001 and HR 0.970, p<0.001) and with increasing CCI (OR 1.344, p=0.002 and HR 1.269, p=0.001); the other variables were not significantly related. CONCLUSION: Lower blood pressure and more severe comorbidities, but not functionality nor the presence of a geriatric risk profile, are related to one-year mortality in older, in-hospital heart failure patients.

Do nutritional assessment tools (PNI, CONUT, GNRI) predict adverse events after spinal surgeries? A systematic review and meta-analysis.

BACKGROUND: Nutritional assessment tools are used to predict outcomes in cancer. However, their utility in patients undergoing spinal surgery is unclear. This review examined if prognostic nutritional index (PNI), controlling nutritional status (CONUT), and geriatric nutritional risk index (GNRI) can predict adverse events after spinal surgeries. METHODS: PubMed, CENTRAL, Scopus, and Embase were screened by two reviewers for relevant studies up to 26th January 2024. The primary outcome of interest was total adverse events after spinal surgery. Secondary outcomes were surgical site infections (SSI) and mortality. RESULTS: 14 studies were included. Meta-analysis showed that while reduced PNI was not associated with an increased risk of SSI there was a significant association between PNI and higher risk of adverse events. Meta-analysis showed that high CONUT was not associated with an increased risk of complications after spinal surgeries. Pooled analysis showed that low GNRI was associated with an increased risk of both SSI and adverse events. Data on mortality was scarce. CONCLUSIONS: The PNI and GNRI can predict adverse outcomes after spinal surgeries. Limited data shows that high CONUT is also associated with a non-significant increased risk of adverse outcomes. High GNRI was predictive of an increased risk of SSI. Data on mortality is too scarce for strong conclusions.

Improving measurement of functional status among older adults in primary care: A pilot study.

Despite its importance for clinical care and outcomes among older adults, functional status-the ability to perform basic activities of daily living (ADLs) and instrumental ADLs (IADLs)-is seldom routinely measured in primary care settings. The objective of this study was to pilot test a person-centered, interprofessional intervention to improve identification and management of functional impairment among older adults in Veterans Affairs (VA) primary care practices. The four-component intervention included (1) an interprofessional educational session; (2) routine, standardized functional status measurement among patients aged ≥75; (3) annual screening by nurses using a standardized instrument and follow-up assessment by primary care providers; and (4) electronic tools and templates to facilitate increased identification and improved management of functional impairment. Surveys, semi-structured interviews, and electronic health record data were used to measure implementation outcomes (appropriateness, acceptability and satisfaction, feasibility, fidelity, adoption/reach, sustainability). We analyzed qualitative interviews using rapid qualitative analysis. During the study period, all 959 eligible patients were screened (100% reach), of whom 7.3% (n = 58) reported difficulty or needing help with ≥1 ADL and 11.8% (n = 113) reported difficulty or needing help with ≥1 IADL. In a chart review among a subset of 50 patients with functional impairment, 78% percent of clinician notes for the visit when screening was completed had content related to function, and 48% of patients had referrals ordered to address impairments (e.g., physical therapy) within 1 week. Clinicians highly rated the quality of the educational session and reported increased ability to measure and communicate about function. Clinicians and patients reported that the intervention was appropriate, acceptable, and feasible to complete, even during the COVID pandemic. These findings suggest that this intervention is a promising approach to improve identification and management of functional impairment for older patients in primary care. Broader implementation and evaluation of this intervention is currently underway.

Post-COVID-19 patients in geriatric rehabilitation substantially recover in daily functioning and quality of life.

BACKGROUND: After an acute infection, older persons may benefit from geriatric rehabilitation (GR). OBJECTIVES: This study describes the recovery trajectories of post-COVID-19 patients undergoing GR and explores whether frailty is associated with recovery. DESIGN: Multicentre prospective cohort study. SETTING: 59 GR facilities in 10 European countries. PARTICIPANTS: Post-COVID-19 patients admitted to GR between October 2020 and October 2021. METHODS: Patients' characteristics, daily functioning (Barthel index; BI), quality of life (QoL; EQ-5D-5L) and frailty (Clinical Frailty Scale; CFS) were collected at admission, discharge, 6 weeks and 6 months after discharge. We used linear mixed models to examine the trajectories of daily functioning and QoL. RESULTS: 723 participants were included with a mean age of 75 (SD: 9.91) years. Most participants were pre-frail to frail (median [interquartile range] CFS 6.0 [5.0-7.0]) at admission. After admission, the BI first steeply increased from 11.31 with 2.51 (SE 0.15, P < 0.001) points per month and stabilised around 17.0 (quadratic slope: -0.26, SE 0.02, P < 0.001). Similarly, EQ-5D-5L first steeply increased from 0.569 with 0.126 points per month (SE 0.008, P < 0.001) and stabilised around 0.8 (quadratic slope: -0.014, SE 0.001, P < 0.001). Functional recovery rates were independent of frailty level at admission. QoL was lower at admission for frailer participants, but increased faster, stabilising at almost equal QoL values for frail, pre-frail and fit patients. CONCLUSIONS: Post-COVID-19 patients admitted to GR showed substantial recovery in daily functioning and QoL. Frailty at GR admission was not associated with recovery and should not be a reason to exclude patients from GR.

Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated models.

INTRODUCTION: Predicting risk of care home admission could identify older adults for early intervention to support independent living but require external validation in a different dataset before clinical use. We systematically reviewed external validations of care home admission risk prediction models in older adults. METHODS: We searched Medline, Embase and Cochrane Library until 14 August 2023 for external validations of prediction models for care home admission risk in adults aged ≥65 years with up to 3 years of follow-up. We extracted and narratively synthesised data on study design, model characteristics, and model discrimination and calibration (accuracy of predictions). We assessed risk of bias and applicability using Prediction model Risk Of Bias Assessment Tool. RESULTS: Five studies reporting validations of nine unique models were included. Model applicability was fair but risk of bias was mostly high due to not reporting model calibration. Morbidities were used as predictors in four models, most commonly neurological or psychiatric diseases. Physical function was also included in four models. For 1-year prediction, three of the six models had acceptable discrimination (area under the receiver operating characteristic curve (AUC)/c statistic 0.70-0.79) and the remaining three had poor discrimination (AUC < 0.70). No model accounted for competing mortality risk. The only study examining model calibration (but ignoring competing mortality) concluded that it was excellent. CONCLUSIONS: The reporting of models was incomplete. Model discrimination was at best acceptable, and calibration was rarely examined (and ignored competing mortality risk when examined). There is a need to derive better models that account for competing mortality risk and report calibration as well as discrimination.

Frailty and depressive symptoms in older kidney transplant recipients: opportunities for collaboration between transplant nephrologists and geriatricians.

BACKGROUND: Frailty is one of the key syndromes in geriatric medicine and an important factor for post-transplant outcomes. We aimed to describe the prevalence of frailty and examine the correlates of frailty and depressive symptoms in older kidney transplant recipients (KTRs). METHODS: This cross-sectional study involved 112 kidney transplant recipients (KTRs) aged 70 and above. Frailty syndrome was assessed using the Fried frailty criteria, and patients were categorized as frail, pre-frail, or non-frail based on five frailty components: muscle weakness, slow walking speed, low physical activity, self-reported exhaustion, and unintentional weight loss. Depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS). The relationship between frailty and depressive symptoms was evaluated using multinomial logistic regression, with the three frailty categories as the dependent variable and the severity of depressive symptoms as the independent variable, while controlling for age, gender, renal graft function, and time since transplant surgery. RESULTS: The participants had a mean age of 73.3 ± 3.3 years, and 49% were female. The prevalence of frailty syndrome was 25% (n = 28), pre-frailty was 46% (n = 52), and 29% (n = 32) of the KTRs were non-frail. The mean score for depressive symptoms was 3.1 ± 2.4 points, with 18% scoring above the clinical depression cutoff. Depressive symptoms were positively correlated with frailty (r = .46, p < .001). Among the frailty components, self-reported exhaustion (r = .43, p < .001), slow walking speed (r = .26, p < .01), and low physical activity (r = .44, p < .001) were significantly positively correlated with depressive symptoms, while muscle strength (p = .068) and unintentional weight loss (p = .050) were not. A multinomial logistic regression adjusted for covariates indicated that, compared to being non-frail, each additional point on the GDS increased the odds of being pre-frail by 39% (odds ratio [OR] = 1.39, 95% confidence interval [CI] 1.01-1.96) and roughly doubled the odds of being frail (OR = 2.01, 95% CI 1.39-2.89). CONCLUSION: There is a strong association between frailty and depression in KTRs aged 70 years and older. Targeted detection has opened up a new avenue for collaboration between geriatricians and transplant nephrologists.

Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.

Background: Prognostic risk stratification in older adults with type 2 diabetes (T2D) is important for guiding decisions concerning advance care planning. Materials and methods: A retrospective longitudinal study was conducted in a real-world sample of older diabetic patients afferent to the outpatient facilities of the Diabetology Unit of the IRCCS INRCA Hospital of Ancona (Italy). A total of 1,001 T2D patients aged more than 70 years were consecutively evaluated by a multidimensional geriatric assessment, including physical performance evaluated using the Short Physical Performance Battery (SPPB). The mortality was assessed during a 5-year follow-up. We used the automatic machine-learning (AutoML) JADBio platform to identify parsimonious mathematical models for risk stratification. Results: Of 977 subjects included in the T2D cohort, the mean age was 76.5 (SD: 4.5) years and 454 (46.5%) were men. The mean follow-up time was 53.3 (SD:15.8) months, and 209 (21.4%) patients died by the end of the follow-up. The JADBio AutoML final model included age, sex, SPPB, chronic kidney disease, myocardial ischemia, peripheral artery disease, neuropathy, and myocardial infarction. The bootstrap-corrected concordance index (c-index) for the final model was 0.726 (95% CI: 0.687-0.763) with SPPB ranked as the most important predictor. Based on the penalized Cox regression model, the risk of death per unit of time for a subject with an SPPB score lower than five points was 3.35 times that for a subject with a score higher than eight points (P-value <0.001). Conclusion: Assessment of physical performance needs to be implemented in clinical practice for risk stratification of T2D older patients.

Role of muscle ultrasound in frailty assessment in older adults with type 2 diabetes mellitus.

BACKGROUND: Frailty is a geriatric syndrome that is characterized by increased vulnerability to intrinsic and extrinsic stressors due to decreased biologic reserves. Muscle ultrasound (US) is a valid and reliable method for assessing muscle quantity in older adults. The study aims to examine the relationship between frailty definitions and US-derived muscle parameters. METHODS: We conducted a cross-sectional study with type 2 diabetes mellitus outpatients in a tertiary hospital, and all participants underwent a comprehensive geriatric assessment. For frailty assessment, the Fried Frailty Phenotype (FFP), the Clinical Frailty Scale (CFS), and the Edmonton Frailty Scale (EFS) were performed. Muscle US measurements included Gastrocnemius Medialis (GM) muscle thickness, GM fascicle length, GM pennation angle, Rectus Femoris (RF) muscle thickness, Rectus Femoris cross-sectional area (RFCSA), Rectus Abdominis (RA) muscle thickness, External Oblique (EO) muscle thickness, Internal Oblique (IO) muscle thickness, and Transverse Abdominis (TA) muscle thickness. RESULTS: In all, 373 participants were included in the study. The median age of participants was 72.7 ± 5.9 years, and 64.6% of them were female. According to the FFP, 18.2% of the participants were living with frailty, 56% of them were pre-frail; 57.4% of them were living with frailty according to the CFS; 25.2% of them were living with frailty, and 20.6% of them were pre-frail according to the EFS. The FFP, CFS, and EFS scores were related to muscle thickness of GM, RF, and RA, fascicle length of GM, and pennation angle of GM and RFCSA. Particularly, GM pennation angle, RF muscle thickness, and RFCSA were associated with an increased risk of frailty. Besides muscle thickness of GM, RF, and RA, fascicle length of GM, pennation angle of GM, and RFCSA were significant for predicting the presence of frailty. CONCLUSIONS: US-derived regional muscle measurements are associated with frailty definitions (in both physical, cumulative deficit, and multidimensional models) in a diabetic geriatric population.

Sarcopenia prevalence using handgrip strength or chair stand performance in adults living with type 2 diabetes mellitus.

BACKGROUND: The updated European Working Group on Sarcopenia in Older People (EWGSOP2) recommends handgrip strength (HGS) and the chair stand test (CST) to assess muscle strength, with the CST being a convenient proxy for lower limb strength. However, adiposity may differentially influence these strength criteria and produce discrepant sarcopenia prevalence. OBJECTIVE: To determine the prevalence of sarcopenia using HGS or the CST, and to investigate the associations between these strength criteria and adiposity in adults with type 2 diabetes mellitus. METHODS: The EWGSOP2 definition was used to assess the prevalence of probable (low muscle strength), confirmed (plus low muscle mass) and severe (plus poor physical performance) sarcopenia. Linear regression models were used to study the association between different measures of muscle strength and adiposity. RESULTS: We used data from 732 adults with type 2 diabetes mellitus (35.7% female, aged 64 ± 8 years, body mass index 30.7 ± 5.0 kg/m2). Using the CST compared with HGS produced a higher prevalence of probable (31.7% vs. 7.1%), confirmed (5.6% vs. 1.6%) and severe (1.0% vs. 0.3%) sarcopenia, with poor agreement between strength criteria to identify probable sarcopenia. CST performance, but not HGS, was significantly associated with all measures of adiposity in unadjusted and adjusted models. CONCLUSIONS: Higher levels of adiposity may impact CST performance, but not HGS, resulting in a higher prevalence of sarcopenia in adults with type 2 diabetes mellitus. Consideration should be paid to the most appropriate measure of muscle function in this population.

How do primary care clinicians approach the management of frailty? A qualitative interview study.

BACKGROUND: Around 15% of adults aged over 65 live with moderate or severe frailty. Contractual requirements for management of frailty are minimal and neither incentivised nor reinforced. Previous research has shown frailty identification in primary care is ad hoc and opportunistic, but there has been little focus on the challenges of frailty management, particularly within the context of recent introduction of primary care networks and an expanding allied health professional workforce. AIM: Explore the views of primary care clinicians in England on the management of frailty. DESIGN AND SETTING: Semi-structured interviews were conducted with clinicians across England, including general practitioners (GPs), physician associates, nurse practitioners, paramedics and clinical pharmacists. Thematic analysis was facilitated through NVivo (Version 12). RESULTS: A total of 31 clinicians participated. Frailty management was viewed as complex and outside of clinical guidelines with medication optimisation highlighted as a key example. Senior clinicians, particularly experienced GPs, were more comfortable with managing risk. Relational care was important in prioritising patient wishes and autonomy, for instance to remain at home despite deteriorations in health. In settings where more formalised multidisciplinary frailty services had been established this was viewed as successful by clinicians involved. CONCLUSION: Primary care clinicians perceive frailty as best managed through trusted relationships with patients, and with support from experienced clinicians. New multidisciplinary working in primary care could enhance frailty services, but must keep continuity in mind. There is a lack of evidence or guidance for specific interventions or management approaches.

[The clinical features, survival analysis, and geriatric assessment of 85 patients with follicular lymphoma: a single-center study].

Objective: To retrospectively analyze the clinical characteristics and prognosis of 85 newly diagnosed patients with follicular lymphoma (FL), as well as the prognostic value of comprehensive geriatric assessment (CGA) in patients with FL aged ≥ 60 years old. Methods: The clinical data and prognosis of 85 newly diagnosed FL patients admitted from August 2011 to June 2022 were collected. The clinical features, laboratory indicators, therapeutic efficacy, survival and prognostic factors of patients were statistically analyzed, and the prognosis of patients was stratified using various geriatric assessment tools. Results: ① The patients with FL were mostly middle-aged and older, with a median age of 59 (20-87) years, including 41 patients (48.2%) aged ≥60 years. The ratio of male to female was 1∶1.36. Overall, 77.6% of the patients were diagnosed with Ann Arbor stage Ⅲ-Ⅳ, and 17 cases (20.0%) were accompanied by B symptoms. Bone marrow involvement was the most common (34.1%). ②Overall, 71 patients received immunochemotherapy. The overall response rate was 86.6%, and the complete recovery rate was 47.1% of 68 evaluated patients. Disease progression or relapse in the first 2 years was observed in 23.9% of the patient. Overall, 14.1% of the patients died during follow-up. ③Of the 56 patients receiving R-CHOP-like therapies, the 3-year and 5-year progression-free survival (PFS) rates were 85.2% and 72.8%, respectively, and the 3-year and 5-year overall survival (OS) rates were 95.9% and 88.8%, respectively. The univariate analysis showed that age ≥60 years old (HR=3.430, 95% CI 1.256-9.371, P=0.016), B symptoms (HR=5.030, 95% CI 1.903-13.294, P=0.016), Prognostic Nutritional Index (PNI) <45.25 (HR=3.478, 95% CI 1.299-9.310, P=0.013), Follicular Lymphoma International Prognostic Index (FLIPI) high-risk (HR=2.918, 95% CI 1.074-7.928, P=0.036), and PRIMA-prognostic index (PRIMA-PI) high-risk (HR=2.745, 95% CI 1.057-7.129, P=0.038) significantly predicted PFS. Moreover, age ≥60 years old and B symptoms were independent risk factors for PFS. Progression of disease within 24 months (POD24) significantly predicted OS in the univariate analysis. Conclusions: FL is more common among middle-aged and older women. Age, B symptoms, PNI score, FLIPI high-risk, PRIMA-PI high-risk, and POD24 influenced PFS and OS. The CGA can be used for treatment selection and risk prognostication in older patients with FL.

Associations of Dietary Diversity Trajectories with Frailty among Chinese Older Adults: A Latent Class Trajectory Analysis Based on a CLHLS Cohort.

BACKGROUND: High dietary diversity has been found to be associated with frailty. However, the trajectory of dietary diversity intake in relation to frailty is unclear. METHODS: Using the latent class trajectory modeling approach, we identified distinctive dietary variety trajectory groups among 2017 participants based on the Chinese Longitudinal Healthy Longevity Survey acquired at four time points within a 10-year period. Frailty status was assessed using a frailty index comprising 37 health deficits. Dietary diversity was quantified using the dietary variety score (DVS), based on food category consumption frequency. Logistic regression analyses were employed to explore the association between DVS change trajectories and frailty. RESULTS: This study identified two distinct DVS trajectories: "Moderate-Slow decline-Slow growth", encompassing 810 (40.16%) individuals, and "Moderate-Slow growth-Accelerated decline", including 1207 (59.84%) individuals. After adjusting for covariates, the odds ratio for DVS in the "Moderate-Slow decline-Slow growth" group was 1.326 (95% confidence interval: 1.075-1.636) compared to the "Moderate-Slow growth-Accelerated decline" group. The "Moderate-Slow decline-Slow growth" trajectory continued to decrease and was maintained at a low level in the early stages of aging. CONCLUSION: Sustaining a high dietary diversity trajectory over time, particularly in the early stages of aging, could potentially decrease the risk of frailty among older Chinese adults.

New Perspectives for Low Muscle Mass Quantity/Quality Assessment in Probable Sarcopenic Older Adults: An Exploratory Analysis Study.

BACKGROUND: Low muscle mass quantity/quality is needed to confirm sarcopenia diagnosis; however, no validated cut-off points exist. This study aimed to determine the diagnostic accuracy of sarcopenia through muscle mass quantity/quality parameters, using the bioimpedance analysis (BIA), isokinetic, and ultrasound tools in probable sarcopenic community-dwelling older adults (≥60 years). Also, it aimed to suggest possible new cut-off points to confirm sarcopenia diagnosis. METHODS: A cross-sectional exploratory analysis study was performed with probable sarcopenic and non-sarcopenic older adults. BIA, isokinetic, and ultrasound parameters were evaluated. The protocol was registered on ClinicalTrials.gov (NCT05485402). RESULTS: A total of 50 individuals were included, 38 with probable sarcopenia (69.63 ± 4.14 years; 7 men and 31 women) and 12 non-sarcopenic (67.58 ± 4.54 years; 7 men and 5 women). The phase angle (cut-off: 5.10° men, p = 0.003; 4.95° women, p < 0.001), peak torque (cut-off: 66.75 Newtons-meters (N-m) men, p < 0.001; 48.35 N-m women, p < 0.001), total work (cut-off: 64.00 Joules (J) men, p = 0.007; 54.70 J women, p = 0.001), and mean power (cut-off: 87.8 Watts (W) men, p = 0.003; 48.95 W women, p = 0.008) in leg extension, as well as the the forearm muscle thickness (cut-off: 1.41 cm (cm) men, p = 0.017; 0.94 cm women, p = 0.041), had great diagnostic accuracy in both sexes. CONCLUSIONS: The phase angle, peak torque, total work, and mean power in leg extension, as well as forearm muscle thickness, had great diagnostic accuracy in regard to sarcopenia, and the suggested cut-off points could lead to the confirmation of sarcopenia diagnosis, but more studies are needed to confirm this.