Instrumentos de avaliação multidimensional de fragilidade para uso no cuidado de idosos com doença cardiovascular / Multidimensional frailty assessment tools for use in the care of older adults with cardiovascular disease / Instrumentos de evaluación multidimensional de la fragilidad en la atención de adultos mayores con enfermedad cardiovascular

Objetivo: identificar quais os instrumentos disponíveis para avaliação multidimensional da fragilidade em idosos com doença cardiovascular, potencialmente aplicáveis durante a realização do Processo de Enfermagem. Método: revisão sistemática conduzida em oito bases de dados/portais, para identificação de estudos que apresentassem instrumentos multidimensionais de avaliação de fragilidade em idosos com doença cardiovascular e que fossem aplicáveis ao processo de enfermagem. Resultados: foram incluídos 19 instrumentos multidimensionais. O Brief Frailty Index for Coronary Artery Disease foi desenvolvido para uso no cuidado cardiovascular de idosos. O Frailty Index for Adults e o Maastricht Frailty Screening Tool for Hospitalized Patients foram desenvolvidos para uso no Processo de Enfermagem. Conclusão: apesar de apenas um instrumento ter sido desenvolvido para o idosos com doença cardiovascular e apenas dois serem aplicáveis ao processo de enfermagem, a maioria deles tem potencial de adaptação e validação para uso nesta população durante a avaliação de enfermagem.

Objective: to identify which tools are available for multidimensional frailty assessment of older adult with cardiovascular disease and which are potentially applicable during the Nursing Process. Method: a systematic review conducted in eight databases/portals to identify studies that presented multidimensional frailty assessment tools for older adult with cardiovascular disease and that were applicable to the nursing process. Results: a total of 19 multidimensional tools were included. The Brief Frailty Index for Coronary Artery Disease was developed for use in the cardiovascular care of older adult. The Frailty Index for Adults and the Maastricht Frailty Screening Tool for Hospitalized Patients were developed for use in the Nursing Process. Conclusion: although only one tool was developed for older adults with cardiovascular disease and only two are applicable to the nursing process, most of them have the potential to be adapted and validated for use in this population during nursing assessment.

Objetivo: identificar qué instrumentos están disponibles para la evaluación multidimensional de la fragilidad en personas mayores con enfermedad cardiovascular, que se puedan aplicar en el Proceso de Enfermería. Método: revisión sistemática realizada en ocho bases de datos/portales, para identificar estudios que presentaran instrumentos multidimensionales para la evaluación de la fragilidad en adultos mayores con enfermedad cardiovascular y que fueran aplicables al proceso de enfermería. Resultados: se incluyeron 19 instrumentos multidimensionales. El Brief Frailty Index for Coronary Artery Disease se desarrolló para usarlo en el cuidado cardiovascular de las personas mayores. El Frailty Index for Adults y la Maastricht Frailty Screening Tool for Hospitalized Patients se elaboraron para ser usados en el Proceso de Enfermería. Conclusión: aunque sólo se elaboró un instrumento para adultos mayores con enfermedad cardiovascular y sólo dos son aplicables al proceso de enfermería, la mayoría de ellos tienen el potencial para ser adaptados y validados para ser usados en esa población en la evaluación de enfermería.

Agreement and predictive value of the clinical frailty scale in hospitalized older patients.

PURPOSE: Our objective was to perform an external validity study of the clinical frailty scale (CFS) classification tree by determining the agreement of the CFS when attributed by a senior geriatrician, a junior geriatrician, or using the classification tree. Additionally, we evaluated the predictive value of the CFS for 6-month mortality after admission to an acute geriatric unit. METHODS: This prospective study was conducted in two acute geriatric units in Belgium. The premorbid CFS was determined by a senior and a junior geriatrician based on clinical judgment within the first 72 h of admission. Another junior geriatrician, who did not have a treatment relationship with the patient, scored the CFS using the classification tree. Intra-class correlation coefficient (ICC) was calculated to assess agreement. A ROC curve and Cox regression model determined prognostic value. RESULTS: In total, 97 patients were included (mean age 86 ± 5.2; 66% female). Agreement of the CFS, when determined by the senior geriatrician and the classification tree, was moderate (ICC 0.526, 95% CI [0.366-0.656]). This is similar to the agreement between the senior and junior geriatricians' CFS (ICC 0.643, 95% CI [0.510-0.746]). The AUC for 6-month mortality based on the CFS by respectively the classification tree, the senior and junior geriatrician was 0.719, 95% CI [0.592-0.846]; 0.774, 95% CI [0.673-0.875]; 0.774, 95% CI [0.665-0.882]. Cox regression analysis indicated that severe or very severe frailty was associated with a higher risk of mortality compared to mild or moderate frailty (hazard ratio respectively 6.274, 95% CI [2.613-15.062] by the classification tree; 3.476, 95% CI [1.531-7.888] by the senior geriatrician; 4.851, 95% CI [1.891-12.442] by the junior geriatrician). CONCLUSION: Interrater agreement in CFS scoring on clinical judgment without Comprehensive Geriatric Assessment is moderate. The CFS classification tree can help standardize CFS scoring.

Management of older adults with diabetes mellitus: Perspective from geriatric medicine.

Advances in diabetes medication and population aging are lengthening the lifespans of people with diabetes mellitus (DM). Older patients with diabetes mellitus often have multimorbidity and tend to have polypharmacy. In addition, diabetes mellitus is associated with frailty, functional decline, cognitive impairment, and geriatric syndrome. Although the numbers of patients with frailty, dementia, disability, and/or multimorbidity are increasing worldwide, the accumulated evidence on the safe and effective treatment of these populations remains insufficient. Older patients, especially those older than 75 years old, are often underrepresented in randomized controlled trials of various treatment effects, resulting in limited clinical evidence for this population. Therefore, a deeper understanding of the characteristics of older patients is essential to tailor management strategies to their needs. The clinical guidelines of several academic societies have begun to recognize the importance of relaxing glycemic control targets to prevent severe hypoglycemia and to maintain quality of life. However, glycemic control levels are thus far based on expert consensus rather than on robust clinical evidence. There is an urgent need for the personalized management of older adults with diabetes mellitus that considers their multimorbidity and function and strives to maintain a high quality of life through safe and effective medical treatment. Older adults with diabetes mellitus accompanied by frailty, functional decline, cognitive impairment, and multimorbidity require special management considerations and liaison with both carers and social resources.

Infection on Frail Patients in the Intensive Care Unit: Insights From the PalMuSIC Study.

BACKGROUND: Along with population aging, frailty is also increasingly common in the intensive care unit (ICU). However, the impact of frailty on the infection incidence, the risk of multidrug-resistant (MDR) microorganisms, and the potential benefits of broad-spectrum antibiotics are still poorly studied. METHODS: This is a multicentric, prospective, observational study collecting data for 15 consecutive days of all consecutive adult patients admitted in each participating ICU. Exclusion criteria included admission for less than 24 hours or failure to obtain informed consent. The Clinical Frailty Score (CFS) was calculated both by the doctor and by the nurse in charge, and the patient's next of kin. Patients were considered frail if the mean of the three measured scores was ≥5. This is a post hoc analysis of the PALliative MUlticenter Study in Intensive Care (PalMuSIC) study. The Hospital de Vila Franca de Xira Ethics Committee approved the study (approval number: 63). RESULTS: A total of 335 patients from 23 Portuguese ICUs were included. Frailty was diagnosed in 20.9%. More than 60% of the patients had a diagnosis of infection during their ICU stay, either present on admission or hospital-acquired. This included 25 (35.7%) frail and 75 (28.3%) non-frail (p=0.23) patients diagnosed with infection. In 34 patients, MDR microorganisms were isolated, which were more common in frail patients (odds ratio (OR): 2.65, 95% confidence interval (CI): 1.3-5.6, p=0.018). Carbapenems were started in 37 (18.1%) patients, but after adjusting for frailty and severity, no clear mortality benefit of this strategy was noted (odds ratio for ICU mortality: 1.61, 95% confidence interval: 0.49-5.31, p=0.43; odds ratio for hospital mortality: 1.61, 95% confidence interval: 0.61-4.21, p=0.33). CONCLUSION: Frail patients had similar rates of infection to non-frail patients but were more prone to have MDR microorganisms as causative pathogens. The use of empirical therapy with large-spectrum antibiotics should be based on microbiological risk factors and not simply on the host characteristics.

Physical Frailty, Genetic Predisposition, and Incident Heart Failure.

Background: There is growing interest in the intersection of frailty and heart failure (HF); however, large-sample longitudinal studies in the general population are lacking. Objectives: The goal of this study was to examine the longitudinal relationship between frailty and incident HF, and whether age and genetic predisposition could modify this association. Methods: This prospective cohort study included 340,541 participants (45.7% male; mean age 55.9 ± 8.1 years) free of HF at baseline in the UK Biobank. Frailty was assessed by using the Fried frailty phenotype and included weight loss, exhaustion, low physical activity, slow gait speed, and low grip strength. The weighted polygenetic risk score was calculated. Cox models were used to estimate these associations and the interaction between the 2 factors. Results: During a median 14.1 years of follow-up, 7,590 patients with HF were documented. Compared with nonfrail participants, both prefrail and frail participants had a positive association with the risk of incident HF (prefrail HR: 1.40 [95% CI: 1.17-1.67]; frail HR: 2.07 [95% CI: 1.67-2.57]). Exhaustion (HR: 1.21; 95% CI: 1.03-1.43), slow gait speed (HR: 1.62; 95% CI: 1.39-1.90), and low grip strength (HR: 1.31; 95% CI: 1.14-1.51) were associated with a greater risk of incident HF. Furthermore, genetic susceptibility did not significantly modify the associations (P interaction = 0.094), and the association was significantly strengthened in younger participants (P interaction = 0.008). Conclusions: Frailty status was associated with a higher risk of incident HF independent of genetic risk. A younger population may be more susceptible to HF when exposed to frailty. Whether the modification of frailty status represents another avenue for preventing HF warrants further investigation.

Patient Perspectives on the Use of Aging Metrics for Kidney Transplant Decision-Making.

INTRODUCTION: Frailty and cognitive function are often measured during kidney transplant evaluation. However, patient perspectives on the ethical considerations of this practice are unclear. RESEARCH QUESTION: What are patient perspectives on the use of aging metrics in kidney transplant decision-making? DESIGN: One hundred participants who were evaluated for kidney transplantation and were enrolled in an ongoing prospective cohort study (response rate = 61.3%) were surveyed. Participants were informed of the definitions of frailty and cognitive impairment and then asked survey questions regarding the use of these measures of aging to determine kidney transplant candidacy. RESULTS: Participants (75.6%) thought it was unfair to prevent older adults from receiving a kidney transplant based on age, but there was less agreement on whether it was fair to deny frail (46.5%) and cognitively impaired (45.9%) patients from accessing kidney transplantation. Compared to older participants, younger participants had 5.36-times (95%CI:1.94-14.81) the odds of choosing a hypothetical younger, frail patient to list for kidney transplantation than an older, non-frail patient; they also had 3.56-times (95%CI:1.33-9.56) the odds of choosing the hypothetical frail patient with social support rather than a non-frail patient without social support. Participants disagreed on the use of patient age as a listing criterion; 19.5% ranked it as the fairest and 28.7% as the least fair. CONCLUSION: The patient views highlighted in this study are an important step toward developing ethical guidelines to ensure fair use of frailty, cognitive function, and chronological age for kidney transplant decision-making.

Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Learning Algorithms: A Prospective Cohort Study.

This study aimed to develop and validate prediction models for incident reversible cognitive frailty (RCF) based on social-ecological predictors. Older adults aged ≥60 years from China Health and Retirement Longitudinal Study (CHARLS) 2011-2013 survey were included as training set (n = 1230). The generalized linear mixed model (GLMM), eXtreme Gradient Boosting, support vector machine, random forest, and Binary Mixed Model forest were used to develop prediction models. All models were evaluated internally with 5-fold cross-validation and evaluated externally via CHARLS 2013-2015 survey (n = 1631). Only GLMM showed good discrimination (AUC = 0.765, 95% CI = 0.736, 0.795) in training set, and all models showed fair discrimination (AUC = 0.578-0.667, 95% CI = 0.545, 0.725) in internal and external validation. All models showed acceptable calibration, overall prediction performance, and clinical usefulness in training and validation sets. Older adults were divided into three groups using risk score based on GLMM, which could assist healthcare providers to predict incident RCF, facilitating early identification of high-risk population.

Use of a large language model with instruction-tuning for reliable clinical frailty scoring.

BACKGROUND: Frailty is an important predictor of health outcomes, characterized by increased vulnerability due to physiological decline. The Clinical Frailty Scale (CFS) is commonly used for frailty assessment but may be influenced by rater bias. Use of artificial intelligence (AI), particularly Large Language Models (LLMs) offers a promising method for efficient and reliable frailty scoring. METHODS: The study utilized seven standardized patient scenarios to evaluate the consistency and reliability of CFS scoring by OpenAI's GPT-3.5-turbo model. Two methods were tested: a basic prompt and an instruction-tuned prompt incorporating CFS definition, a directive for accurate responses, and temperature control. The outputs were compared using the Mann-Whitney U test and Fleiss' Kappa for inter-rater reliability. The outputs were compared with historic human scores of the same scenarios. RESULTS: The LLM's median scores were similar to human raters, with differences of no more than one point. Significant differences in score distributions were observed between the basic and instruction-tuned prompts in five out of seven scenarios. The instruction-tuned prompt showed high inter-rater reliability (Fleiss' Kappa of 0.887) and produced consistent responses in all scenarios. Difficulty in scoring was noted in scenarios with less explicit information on activities of daily living (ADLs). CONCLUSIONS: This study demonstrates the potential of LLMs in consistently scoring clinical frailty with high reliability. It demonstrates that prompt engineering via instruction-tuning can be a simple but effective approach for optimizing LLMs in healthcare applications. The LLM may overestimate frailty scores when less information about ADLs is provided, possibly as it is less subject to implicit assumptions and extrapolation than humans. Future research could explore the integration of LLMs in clinical research and frailty-related outcome prediction.

The association of inflammatory markers with frailty and in-hospital mortality in older COVID-19 patients.

INTRODUCTION: During the COVID19 pandemic, older patients hospitalized for COVID-19 exhibited an increased mortality risk compared to younger patients. While ageing is associated with compromised immune responses and frailty, their contributions and interplay remain understudied. This study investigated the association between inflammatory markers and mortality and potential modification by frailty among older patients hospitalized for COVID-19. METHODS: Data were from three multicenter Dutch cohorts (COVID-OLD, CliniCo, Covid-Predict). Patients were 70 years or older, hospitalized for COVID-19and categorized into three frailty groups: fit (Clinical frailty score (CFS) 1-3), pre-frail (CFS 4-5), and frail (CFS 6-9). Immunological markers (lymphocyte count, neutrophil count, C-reactive protein, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic inflammation index (SII)) were measured at baseline. Associations with in hospital mortality were examined using logistic regression. RESULTS: A total of 1697 patients were included from COVID-OLD, 656 from Covid-Predict, and 574 from CliniCo. The median age was 79, 77, and 78 years for each cohort. Hospital mortality rates were 33 %, 27 % and 39 % in the three cohorts, respectively. A lower CRP was associated with a higher frailty score in all three cohorts (all p < 0.01). Lymphocyte count, neutrophil count, NLR, PLR, or SII, were similar across frailty groups. Higher CRP levels were associated with increased in-hospital mortality risk across all frailty groups, across all cohorts (OR (95 % CI), 2.88 (2.20-3.78), 3.15 (1.95-5.16), and 3.28 (1.87-5.92)), and frailty did not modify the association between inflammatory markers and in-hospital mortality (all p-interaction>0.05). CONCLUSION: While frailty is a significant factor in determining overall outcomes in older patients, our study suggests that the elevated risk of mortality in older patients with frailty compared to fit patients is likely not explained by difference in inflammatory responses.

'It's a job to be done'. Managing polypharmacy at home: A qualitative interview study exploring the experiences of older people living with frailty.

INTRODUCTION: Many older people live with both multiple long-term conditions and frailty; thus, they manage complex medicines regimens and are at heightened risk of the consequences of medicines errors. Research to enhance how people manage medicines has focused on adherence to regimens rather than on the wider skills necessary to safely manage medicines, and the older population living with frailty and managing multiple medicines at home has been under-explored. This study, therefore, examines in depth how older people with mild to moderate frailty manage their polypharmacy regimens at home. METHODS: Between June 2021 and February 2022, 32 patients aged 65 years or older with mild or moderate frailty and taking five or more medicines were recruited from 10 medical practices in the North of England, United Kingdom, and the CARE 75+ research cohort. Semi-structured interviews were conducted face to face, by telephone or online. The interviews were recorded, transcribed verbatim and analysed using reflexive thematic analysis. FINDINGS: Five themes were developed: (1) Managing many medicines is a skilled job I didn't apply for; (2) Medicines keep me going, but what happened to my life?; (3) Managing medicines in an unclear system; (4) Support with medicines that makes my work easier; and (5) My medicines are familiar to me-there is nothing else I need (or want) to know. While navigating fragmented care, patients were expected to fit new medicines routines into their lives and keep on top of their medicines supply. Sometimes, they felt let down by a system that created new obstacles instead of supporting their complex daily work. CONCLUSION: Frail older patients, who are at heightened risk of the impact of medicines errors, are expected to perform complex work to safely self-manage multiple medicines at home. Such a workload needs to be acknowledged, and more needs to be done to prepare people in order to avoid harm from medicines. PATIENT AND PUBLIC INVOLVEMENT: An older person managing multiple medicines at home was a core member of the research team. An advisory group of older patients and family members advised the study and was involved in the first stages of data analysis. This influenced how data were coded and themes shaped.

Impact of childhood maltreatment on aging: a comprehensive Mendelian randomization analysis of multiple age-related biomarkers.

BACKGROUND: Childhood maltreatment (CM) is linked to long-term adverse health outcomes, including accelerated biological aging and cognitive decline. This study investigates the relationship between CM and various aging biomarkers: telomere length, facial aging, intrinsic epigenetic age acceleration (IEAA), GrimAge, HannumAge, PhenoAge, frailty index, and cognitive performance. METHODS: We conducted a Mendelian randomization (MR) study using published GWAS summary statistics. Aging biomarkers included telomere length (qPCR), facial aging (subjective evaluation), and epigenetic age markers (HannumAge, IEAA, GrimAge, PhenoAge). The frailty index was calculated from clinical assessments, and cognitive performance was evaluated with standardized tests. Analyses included Inverse-Variance Weighted (IVW), MR Egger, and Weighted Median (WM) methods, adjusted for multiple comparisons. RESULTS: CM was significantly associated with shorter telomere length (IVW: ß = - 0.1, 95% CI - 0.18 to - 0.02, pFDR = 0.032) and increased HannumAge (IVW: ß = 1.33, 95% CI 0.36 to 2.3, pFDR = 0.028), GrimAge (IVW: ß = 1.19, 95% CI 0.19 to 2.2, pFDR = 0.040), and PhenoAge (IVW: ß = 1.4, 95% CI 0.12 to 2.68, pFDR = 0.053). A significant association was also found with the frailty index (IVW: ß = 0.31, 95% CI 0.13 to 0.49, pFDR = 0.006). No significant associations were found with facial aging, IEAA, or cognitive performance. CONCLUSIONS: CM is linked to accelerated biological aging, shown by shorter telomere length and increased epigenetic aging markers. CM was also associated with increased frailty, highlighting the need for early interventions to mitigate long-term effects. Further research should explore mechanisms and prevention strategies.

Development of cognitive frailty screening tool among community-dwelling older adults.

Purpose: To develop a brief screening tool consisting of twelve items that can be self-administered for rapid identification of older adults at risk of cognitive frailty (CF), named as Cognitive Frailty Screening Tool (CFST). Patients and methods: A total of 1318 community-dwelling individuals aged 60 years and above were selected and assessed for cognitive frailty using a set of neuropsychology batteries and physical function tests. A binary logistic regression (BLR) was used to identify predictors of CF to be used as items in the screening tool. A suitable cut-off point was developed using receiver operating characteristic analysis. Results: Twelve items were included in the screening tool, comprising of gender, education years, medical history, depressive symptoms and functional status as well as lifestyle activities. The area under the curve (AUC) was 0.817 (95 % CI:0.774-0.861), indicating an excellent discriminating power. The sensitivity and specificity for cut-off 7 were 80.8 % and 79.0 %, with an acceptable range of positive predictive value (PPV) (73.3 %) and negative predictive value (NPV) (85.2 %) for screening tools. Concurrent validity of CFST score with standard cognitive and frailty assessment tools shows a significant association with the total score of CFST with low to moderate correlation (p < 0.05 for all parameters). Conclusion: CFST had good sensitivity and specificity and was valid for community-dwelling older adults. There is a need to evaluate further the cost-effectiveness of implementing CFST as a screening for the risk of CF in the community. Its usage in clinical settings needs further validation.

Correlates of Frailty in Hospitalized Older Adults with Hypertension and Its Influence on Clinical Prognosis.

Objective: This study aims to explore the correlates of frailty in hospitalized elderly hypertensive patients and its impact on clinical prognosis, and to construct a predictive model for the occurrence of frailty in this population. Methods: A cross-sectional and prospective observational cohort study was conducted, involving 312 elderly hypertensive patients diagnosed at the institution from January to June 2022. Frailty was diagnosed using the Fried Frailty Phenotype (FP), while the Charlson Comorbidities Index (CCI) assessed the presence of chronic conditions. Data analysis was performed using SPSS 22.0. Binary logistic regression analysis was conducted with frailty as the dependent variable to identify risk factors. Patients were followed for one year to monitor readmission rates and all-cause mortality. Results: Multivariate logistic regression identified CCI grade (P=0.030), gender (OR=21.618, 95% CI: 4.062-115.061, P < 0.001), age (OR=1.147, 95% CI: 1.086-1.211, P < 0.001), bedridden state (OR=11.620, 95% CI: 3.282-41.140, P < 0.001), arrhythmia (OR=14.414, 95% CI: 4.558-45.585, P < 0.001), heart failure (OR=5.439, 95% CI: 1.029-28.740, P < 0.05), along with several biochemical markers, as independent predictors of frailty. A predictive model was developed, demonstrating a robust discriminative ability with an area under the receiver operating characteristic curve (AUC) of 0.915. Statistically significant differences in readmission rates and all-cause mortality were observed among the frail, pre-frail, and non-frail groups (P<0.001), with the frail group exhibiting the highest incidence of these adverse outcomes. Notably, frailty emerged as a significant predictor of readmission (P<0.05) but not of all-cause mortality in this cohort. Conclusion: This study establishes a robust frailty prediction model for elderly hypertensive patients, highlighting the influence of CCI grade, gender, age, and other clinical and biochemical factors on frailty. The model offers a valuable tool for healthcare providers to identify at-risk elderly individuals, facilitating targeted intervention strategies for cardiovascular disease management.

Linear-inverse associations of serum Klotho protein with prevalence of frailty among adults in the United States.

AIMS: To investigate the potential linear relationship between serum concentrations of klotho and frailty. METHODS: A retrospective analysis was conducted on the data of 9,597 middle-aged and older adults (aged 40-79 years) from the five cycles of the National Health and Nutrition Examination Survey (NHANES). Frailty was assessed using the Frailty Index, calculated as a percentage of accumulated deficits across 53 health items. Restricted cubic spline curves, subgroup analyses and logistic regression models were employed to evaluate the specific linear trend connection between circulating klotho protein concentration and frailty. RESULTS: When taking Klotho into account as a continuous component in Models 1 and 2, there was a substantial association between the increasing Klotho level and the reduced risk of frailty. Model 3 revealed a strong negative correlation between the Klotho and Frailty, suggesting that high levels of Klotho protein decreases the frailty prevalence [Odd ratio (OR): 0.25; 95% confidence interval (CI): 0.15-0.43]. Furthermore, according to the quartile analyses, after fully adjusting for the covariates, it was observed that, comparing to the lowest quartile of Klotho, the highest quartile of Klotho demonstrated lowest risk of frailty (OR 0.69; 95% CI 0.58-0.81, Ptrend < 0.001). The restricted cubic spline curves showed a linear relationship and an inverse association between frailty and the Klotho levels (Plinearity < 0.001; Pnon-linearity = 0.736). CONCLUSION: Klotho is inversely and linearly associated with physical frailty in the general population (aged 40-79 years), specifically in the population with an age < 65 and body mass index (BMI) ≥ 25 kg/m2. More necessary prospective studies should be done to further investigate the mechanisms underlying frailty and aging and to elucidate individual frailty causes.

Hospital frailty risk score predicts high-value care outcomes following brain metastasis resection.

OBJECTIVE: Brain metastases (BM) are the most common adult intracranial tumors, representing a significant source of morbidity in patients with systemic malignancy. Frailty indices, including 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI), have recently demonstrated an important role in predicting high-value care outcomes in neurosurgery. This study aims to investigate the efficacy of the newly developed Hospital Frailty Risk Score (HFRS) on postoperative outcomes in BM patients. METHODS: Adult patients with BM treated surgically at a single institution were identified (2017-2019). HFRS was calculated using ICD-10 codes, and patients were subsequently separated into low (<5), intermediate (5-15), and high (>15) HFRS cohorts. Multivariate logistic regressions were utilized to identify associations between HFRS and complications, length of stay (LOS), hospital charges, and discharge disposition. Model discrimination was assessed using receiver operating characteristic (ROC) curves. RESULTS: A total of 356 patients (mean age: 61.81±11.63 years; 50.6 % female) were included. The mean±SD for HFRS, mFI-11, mFI-5, ASA, and CCI were 6.46±5.73, 1.31±1.24, 0.95±0.86, 2.94±0.48, and 8.69±2.07, respectively. On multivariate analysis, higher HFRS was significantly associated with greater complication rate (OR=1.10, p<0.001), extended LOS (OR=1.13, p<0.001), high hospital charges (OR=1.14, p<0.001), and nonroutine discharge disposition (OR=1.12, p<0.001), and comparing the ROC curves of mFI-11, mFI-5, ASA,and CCI, the predictive accuracy of HFRS was the most superior for all four outcomes assessed. CONCLUSION: The predictive ability of HFRS on BM resection outcomes may be superior than other frailty indices, offering a new avenue for routine preoperative frailty assessment and for managing postoperative expectations.

Clinical frailty and short-term outcomes after low-energy pelvic fracture in the geriatric population: Nationwide inpatient sample 2016-2018 analysis.

BACKGROUND: Pelvic fractures can be life-threatening for elderly individuals with diminished bone strength. Frailty is associated with fracture outcomes, but its impact on pelvic fracture recovery remains unexplored. The aim of this study was to investigate the association between frailty and short-term outcomes in older adults hospitalized for low-energy pelvic fractures. METHODS: Data from the Nationwide Inpatient Sample (NIS) covering the years 2005 to 2018 were reviewed. Inclusion criteria were age ≥ 60 years admitted for a low-energy pelvic fracture. Patients were categorized into frail and non-frail groups using the 11-factor modified Frailty Index (mFI-11). Association between frailty and in-hospital outcomes were determined by univariate and multivariable regression analyses. RESULTS: A total of 24,688 patients with pelvic fractures were included. The mean patient age was 80.6 ±â€¯0.1 years, and 35 % were classified as frail. After adjustments, frailty was significantly associated with unfavorable discharge (adjusted odds ratio [aOR] = 1.07, 95 % confidence interval [CI]: 1.00-1.15, p = 0.038), prolonged hospitalization (aOR = 1.51, 95 % CI: 1.41-1.62, p < 0.001), complications (aOR = 1.42, 95 % CI:1.34-1.50, p < 0.001), and acute kidney injury (aOR = 1.68, 95 % CI: 1.56-1.82, p < 0.001). Stratified analyses based on age and fracture type showed frailty was consistently associated with adverse outcomes. CONCLUSIONS: Persons ≥60 years old with mFI-11 assessed frailty and a low-energy pelvic fracture are at higher risk of adverse in-hospital outcomes than non-frail patients. Additional research is needed to disclose the prognostic impact of clinical frailty on long-term functional outcomes and quality of life after discharge.

Intrinsic capacity and recent falls in adults 80 years and older living in the community: results from the ilSIRENTE Study.

BACKGROUND: Falls in older adults significantly impact overall health and healthcare costs. Intrinsic capacity (IC) reflects functional reserve and is an indicator of healthy aging. AIMS: To explore the association between IC and recent falls (≤ 90 days) in community-dwelling octogenarians from the Aging and Longevity in the Sirente geographic area (IlSIRENTE) study. METHODS: The Minimum Data Set for Home Care (MDS-HC) and supplementary questionnaires and tests were used to assess the five IC domains: locomotion, cognition, vitality, psychology, and sensory. Scores in each domain were rescaled using the percent of maximum possible score method and averaged to obtain an overall IC score (range 0-100). RESULTS: The study included 319 participants (mean age 85.5 ± 4.8 years, 67.1% women). Mean IC score was 80.5 ± 14.2. The optimal IC score cut-off for predicting the two-year risk of incident loss of at least one activity of daily living (ADL) was determined and validated in a subset of 240 individuals without ADL disability at baseline (mean age 84.7 ± 4.4 years, 67.1% women). Participants were then stratified into low (< 77.6) and high (≥ 77.6) IC categories. Those with high IC (63.9%) were younger, more often males, and had lower prevalence of recent falls, disability, multimorbidity, and polypharmacy. Logistic regression models including IC as a continuous variable revealed a significant association between higher IC and lower odds of falls. This association was significant in the unadjusted (odds ratio [OR] 0.96, 95% confidence interval [CI] 0.94-0.98, p < 0.001), age- and sex-adjusted (OR 0.96, 95% CI 0.94-0.98, p < 0.001), and fully adjusted models (OR 0.96, 95% CI 0.93-0.99, p = 0.003). When considering IC as a categorical variable, unadjusted logistic regression showed a strong association between high IC and lower odds of falls (OR 0.31, 95% CI 0.16-0.60, p < 0.001). This association remained significant in both the age- and sex-adjusted (OR 0.30, 95% CI 0.15-0.59, p < 0.001) and fully adjusted models (OR 0.33, 95% CI 0.16-0.82, p = 0.007). The locomotion domain was independently associated with falls in the unadjusted (OR 0.98, 95% CI 0.97-0.99, p < 0.001), age- and sex-adjusted (OR 0.97, 95% CI 0.96-0.99, p < 0.001), and fully adjusted model (OR 0.98, 95% CI 0.96-0.99, p < 0.001). DISCUSSION: This is the first study using an MDS-HC-derived instrument to assess IC. Individuals with higher IC were less likely to report recent falls, with locomotion being an independently associated domain. CONCLUSIONS: Lower IC is linked to increased odds of falls. Interventions to maintain and improve IC, especially the locomotion domain, may reduce fall risk in community-dwelling octogenarians.

The Impact of Frailty and Severe Cognitive Impairment on Survival Time and Time to Initiate Dialysis in Older Adults With Advanced Chronic Kidney Disease: A Prospective Observational Cohort Study.

Background and objectives Frailty and cognitive impairment significantly impact survival time and time to initiate dialysis in older adults with advanced chronic kidney disease (CKD). This study aims to evaluate the effects of frailty and cognitive impairment on these outcomes and determine the most effective assessment tool for predicting early dialysis initiation and short survival time. Materials and methods This prospective observational cohort study involved 240 patients aged ≥65 years with stage 4 or 5 CKD, recruited from a nephrology outpatient department (ambulatory care) between March 2020 and March 2021. Frailty was assessed using the Physical Frailty Phenotype (PFP), PRISMA-7, Clinical Frailty Scale (CFS), and FRAIL scale. Cognitive function was evaluated using the Montreal Cognitive Assessment (MoCA). The primary outcomes were time to initiate dialysis and survival time, with secondary outcomes including hospitalization rates, length of stay, and mortality after dialysis initiation. Results Frail patients only showed significantly shorter time to dialysis initiation when identified by the PFP and FRAIL scale (28.3 months for frail vs. 31.2 months for non-frail, p = 0.028; 26.9 months for frail vs. 30.9 months for non-frail, p = 0.038). The PFP, FRAIL, and CFS tools indicated significantly shorter survival times for frail patients compared to non-frail patients (26.8 months for frail vs. 30.6 months for non-frail, p = 0.003). Frailty is strongly correlated with severe cognitive impairment, as 45.5% of frail patients (according to the FRAIL scale) have dementia compared to 15.1% of non-frail patients (p<0.001). However, cognitive impairment did not significantly affect the time to dialysis initiation or survival time. Hospitalization rates and length of stay in the hospital were significantly higher only for frail patients identified by PRISMA-7, with a median hospital length of stay of 9.15 days for frail patients vs 6.37 days for non-frail patients (p = 0.044). Overall, 37.5% of the patients did not survive during the study follow-up, with frail patients having a higher mortality rate. Conclusion Frailty, mainly when assessed by PFP and FRAIL, is a significant predictor of early dialysis initiation and reduced survival time in older adults with advanced CKD. Cognitive impairment, while prevalent, did not independently predict these outcomes. Regular frailty screening should be incorporated into CKD management to tailor interventions and improve patient outcomes.