Frailty Index Score Research Articles

Multidimensional Frailty Instruments Can Predict Acute Exacerbations Within One Year in Patients with Stable Chronic Obstructive Pulmonary Disease: A Retrospective Longitudinal Study.

Chronic obstructive pulmonary disease (COPD) is closely associated with frailty, and prevention of acute exacerbations is important for disease management. Moreover, COPD patients with frailty experience a higher risk of acute exacerbations. However, the frailty instruments that can better predict acute exacerbations remain unclear. (1) To explore the factors influencing frailty and acute exacerbations in stable COPD patients, and (2) quantify the ability of multidimensional frailty instruments to predict acute exacerbations within 1 year. In this retrospective longitudinal study, stable COPD patients were recruited from the outpatient department of Sichuan Provincial People's Hospital from July 2022 to June 2023. COPD patients reviewed their frailty one year ago and their acute exacerbations within one year using face-to-face interviews with a self-developed frailty questionnaire. Frailty status was assessed using the Frailty Index (FI), frailty questionnaire (FRAIL), and Clinical Frailty Scale (CFS). One-way logistic regression was used to explore the factors influencing frailty and acute exacerbations. Multivariate logistic regression was used to establish a prediction model for acute exacerbations, and the accuracy of the three frailty instruments was compared by measuring the area under the receiver operating characteristic curve (AUC). A total of 120 individuals were included. Frailty incidence estimates using FI, FRAIL, and CFS were 23.3%, 11.7%, and 15.8%, respectively. The three frailty instruments showed consistency in COPD assessments (P<0.05). After adjusting for covariates, frailty reflected by the FI and CFS score remained an independent risk factor for acute exacerbations. The CFS score was the best predictor of acute exacerbations (AUC, 0.764 (0.663-0.866); sensitivity, 57.9%; specificity, 80.0%). Moreover, the combination of CFS plus FRAIL scores was a better predictor of acute exacerbations (AUC, 0.792 (0.693-0.891); sensitivity, 86.3%; specificity, 60.0%). Multidimensional frailty assessments could improve the identification of COPD patients at high risk of acute exacerbations and facilitate targeted interventions to reduce acute exacerbations in these patients.

Frailty as a comprehensive health measure beyond seizure control in patients with epilepsy: A cross-sectional study.

Due to the high clinical heterogeneity of epilepsy, there is a critical need for novel metrics aimed at capturing its biological and phenotypic complexity. Frailty is increasingly recognized in various medical disciplines as a useful construct to understand differences in susceptibility to adverse outcomes. Here, we develop a frailty index (FI) for patients with epilepsy (PwE) and explore its association with demographic and clinical features. In this cross-sectional study, we consecutively enrolled 153 PwE from an outpatient epilepsy clinic. Participants were assessed for various health deficits to calculate the FI. Associations between FI and demographic/clinical features, antiseizure medications (ASMs), and patient-reported outcomes were analyzed using general linear models and Spearman correlation. The median age at the time of study visit was 47 years (interquartile range = 33-60), and 89 (58.2%) patients were females. Multiple linear regression revealed that the developed 33-item FI showed an independent association with age, female sex, higher body mass index, family history of epilepsy, intellectual disability, and the number of ASMs used. A robust analysis of covariance showed higher FI levels in patients using cytochrome P450 3A4-inducer ASMs. We found a moderate positive correlation between FI and psychological distress, lower quality of life, and physical frailty, measured by the Hospital Anxiety and Depression Scale, Quality of Life in Epilepsy Inventory-10, and handgrip strength, respectively. Finally, a weak association was observed between higher FI scores and an increased number of epileptic falls. This study highlights the significance of frailty as a comprehensive health measure in epilepsy. It suggests that frailty in this specific population is not only a manifestation of aging but is inherently linked to epilepsy and treatment-related factors. Future research is warranted to validate and refine the FI in diverse epilepsy populations and investigate its impact on specific adverse outcomes in longitudinal studies.

Frailty on the island of Ireland: evidence from the NICOLA and TILDA studies.

Aimed to compare the prevalence, characteristics, and associated mortality risk of frailty in Northern Ireland (NI) and the Republic of Ireland (ROI). Secondary analysis of the first wave of two nationally representative cohorts, the Northern Ireland Cohort for the Longitudinal Study of Ageing or NICOLA study (N = 8504) and the Irish Longitudinal Study on Ageing or TILDA study (N = 8504). Frailty was assessed using a harmonized accumulation deficits frailty index (FI) containing 30 items. FI scores classified individuals as non-frail (<0.10), pre-frail (0.10-0.24) and frail (≥0.25). Linkage to respective administrative data sources provided mortality information with a follow-up time of 8 years. The prevalence of frailty was considerably higher in NI compared with the ROI (29.0% compared with 15.0%), though pre-frailty was slightly lower (35.8% and 37.3%, respectively). Age, female sex, and lower socio-economic status were consistently associated with a higher likelihood of both pre-frailty and frailty. In the pooled analysis, both frailty and pre-frailty were higher in NI (RR = 2.68, 95% CIs 2.45, 2.94 and RR = 1.30, 95% CIs 1.21, 1.40, respectively). Frailty was associated with an increased mortality risk in both cohorts, even after full adjustment for all other characteristics, being marginally higher in TILDA than in NICOLA (HR = 2.43, 95% CIs 2.03, 2.91 vs. HR = 2.31, 95% CIs 1.90, 2.79). Frailty is a major public health concern for both jurisdictions. Further research and monitoring are required to elucidate why there is a higher prevalence in NI and to identify factors in early life that may be driving these differences.

Quality of life among older patients after elective ventral hernia repair: A retrospective review

BackgroundVentral hernia repair is a common elective general surgery procedure among older patients, a population at greater risk of complications. Prior research has demonstrated improved quality of life in this population despite increased risk of complications. This study sought to assess the relationship between post–ventral hernia repair quality of life and patient frailty. We hypothesized that frail patients would report smaller gains in quality of life compared to the non-frail group. MethodsThe Abdominal Core Health Quality Collaborative was used to identify a cohort of patients 65 years of age or older undergoing elective ventral hernia repair from 2018 to 2022. Patients were categorized based on their modified frailty index scores as not frail/prefrail, frail, and severely frail. Quality of life was assessed using a patient-reported 12-item scale preoperatively, 30 days, 6 months, and 1 year postoperatively. ResultsA total of 3,479 patients were included: 30.93% non-frail, 47.17% frail, and 21.90% severely frail. Severely frail patients had lower quality of life scores at baseline (P = .001) but reported higher quality of life at both 30 days (1.24 points higher, 95% confidence interval (–1.51, 2.52), P = .010) and 6 months (0.92 points higher, 95% confidence interval (–2.29, 4.13), P = .005). Severely frail patients had higher rates of surgical site complications (P < .001) but no difference in 30-day readmissions. ConclusionOur results found that frail patients reported the greatest increase in quality of life 1 year from baseline, showing that they, when selected appropriately, can gain equal benefits and have similar surgical outcomes as their non-frail counterparts.

In-depth human immune cellular profiling from newborn to frail.

Immune functional decline and remodeling accompany aging and frailty. It is still largely unknown how changes in the immune cellular composition differentiate healthy individuals from those become frail at a relatively early age. Our aim in this exploratory study was to investigate immunological changes from newborn to frailty, and the association between health statute and various immune cell subtypes. The participants analyzed in this study covered human cord blood cells and peripheral blood cells collected from young adults, healthy and frail old individuals. A total of 30 immune cell subsets was performed by flow cytometry based on the surface markers of immune cells. Furthermore, frailty was investigated for its relations with various leukocyte subpopulations. Frail individuals exhibited a higher CD4/CD8 ratio, a higher proportion of CD4+ central memory T (TCM) cells, CD8+ effector memory T cells, CD27- switched memory B (CD27-BSM) cells, CD27+ switched memory B cells, age-associated B cells (ABCs) and CD38-CD24- B cells, and a lower proportion of naïve CD8 + T cells and progenitor B cells. The Frailty index score was found to be associated with naïve T cells, CD4/CD8 ratio, ABCs, CD27-BSM cells, and CD4+ TCM cells. Our findings conducted a relatively comprehensive and extensive atlas of age- and frailty-related changes in peripheral leukocyte subpopulations from newborn to frailty. The immune phenotypes identified in this study can contribute to a deeper understanding of immunosenescence in frailty and may provide a rationale for future interventions and diagnosis.

Levels of frailty and frailty progression in older urban- and regional-living First Nations Australians

ObjectivesTo explore the prevalence of frailty, association between frailty and mortality, and transitions between frailty states in urban- and regional-living First Nations Australians. Study designSecondary analysis of longitudinal data from the Koori Growing Old Well Study. First Nations Australians aged 60 years or more from five non-remote communities were recruited in 2010–2012 and followed up six years later (2016–2018). Data collected at both visits were used to derive a 38-item Frailty Index (FI). The FI (range 0–1.0) was classified as robust (<0.1), pre-frail (0.1- < 0.2), mildly (0.2- < 0.3), moderately (0.3- < 0.4) or severely frail (≥0.4). Main outcome measuresAssociation between frailty and mortality, examined using logistic regression and transitions in frailty (the percentage of participants who changed frailty category) during follow-up. ResultsAt baseline, 313 of 336 participants (93 %) had sufficient data to calculate a FI. Median FI score was 0.26 (interquartile range 0.21–0.39); 4.79 % were robust, 20.1 % pre-frail, 31.6 % mildly frail, 23.0 % moderately frail and 20.5 % severely frail. Higher baseline frailty was associated with mortality among severely frail participants (adjusted odds ratio 7.11, 95 % confidence interval 2.51–20.09) but not moderately or mildly frail participants. Of the 153 participants with a FI at both baseline and follow-up, their median FI score increased from 0.26 to 0.28. ConclusionsLevels of frailty in this First Nations cohort are substantially higher than in similar-aged non-Indigenous populations. Screening for frailty before the age of 70 years may be warranted in First Nations Australians. Further research is urgently needed to determine the factors that are driving such high levels of frailty and propose solutions to prevent or manage frailty in this population.

Midlife cumulative deficit frailty predicts Alzheimer's disease-related plasma biomarkers in older adults.

The study explores whether frailty at midlife predicts mortality and levels of biomarkers associated with Alzheimer's disease and related dementias (ADRD) and neurodegeneration by early old age. We also examine the heritability of frailty across this age period. Participants were 1,286 community-dwelling men from the Vietnam Era Twin Study of Aging at average ages 56, 62 and 68, all without ADRD at baseline. The cumulative deficit frailty index (FI) comprised 37 items assessing multiple physiological systems. Plasma biomarkers at age 68 included beta-amyloid (Aβ40, Aβ42), total tau (t-tau) and neurofilament light chain (NfL). Being frail doubled the risk of all-cause mortality by age 68 (OR = 2.44). Age 56 FI significantly predicted age 68 NfL (P = 0.014), Aβ40 (P= 0.001) and Aβ42 (P = 0.023), but not t-tau. Age 62 FI predicted all biomarkers at age 68: NfL (P = 0.023), Aβ40 (P = 0.002), Aβ42 (P = 0.001) and t-tau (P = 0.001). Age 68 FI scores were associated with age 68 levels of NfL (P = 0.027), Aβ40 (P < 0.001), Aβ42 (P = 0.001) and t-tau (P = 0.003). Genetic influences accounted for 45-48% of the variance in frailty and significantly contributed to its stability across 11years. Frailty during one's 50s doubled the risk of mortality by age 68. A mechanism linking frailty and ADRD may be through its associations with biomarkers related to neurodegeneration. Cumulative deficit frailty increases with age but remains moderately heritable across the age range studied. With environmental factors accounting for about half of its variance, early interventions aimed at reducing frailty may help to reduce risk for ADRD.

Predictive ability of both the healthy aging index and the frailty index for all-cause mortality.

We aimed to develop and assess a modified healthy aging index (HAI) among Chileans aged 60years and older and compare its predictive ability for all-cause mortality risk with the frailty index (FI). This prospective study analyzed data from the Chilean National Health Survey (CNHS) conducted in 2009-2010. We included 847 adults with complete data to construct the HAI and FI. The HAI comprised five indicators (lung function, systolic blood pressure, fasting glucose, cognitive status, and glomerular filtration rate), while the FI assessed frailty using a 36-item scale. HAI scores were calculated by summing the indicator scores, ranging from 0 to 10, with higher scores indicating poorer health. Receiver operating curves (ROC) and area under the curve (AUC) were used to assess predictive validity. Associations with all-cause mortality were assessed using Cox proportional hazard models adjusted by confounders. The mean HAI score was 4.06, while the FI score was 0.24. The AUC for mortality was higher for the HAI than the FI (0.640, 95% confidence interval (CI) 0.601 to 0.679 vs. 0.586, 95% CI 0.545 to 0.627). After adjusting for confounders, the FI showed a higher mortality risk compared to the HAI (2.63, 95% CI 1.76 to 3.51 vs. 1.16, 95% CI 1.08 to 1.26). The FI and HAI were valid predictors for all-cause mortality in the Chilean population. Integrating these indices into research and clinical practice can significantly enhance our capacity to identify at-risk individuals.

Inflammatory markers and frailty in home-dwelling elderly, a cross-sectional study

BackgroundLow-grade, chronic inflammation during ageing, (“inflammageing”), is suggested to be involved in the development of frailty in older age. However, studies on the association between frailty, using the frailty index definition, and inflammatory markers are limited. The aim of this study was to investigate the relationship between inflammatory markers and frailty index (FI) in older, home-dwelling adults.MethodHome-dwelling men and women aged ≥ 70 years old, living in South-East Norway were recruited and included in a cross-sectional study. The FI used in the current study was developed according to Rockwood’s frailty index and included 38 variables, resulting in an FI score between 0 and 1 for each participant. Circulating inflammatory markers (IL-6, CRP, IGF-1, cystatin C, cathepsin S, and glycoprotein Acetyls) were analyzed from non-fasting blood samples using ELISA. Whole-genome PBMC transcriptomics was used to study the association between FI score and inflammation.ResultsThe study population comprised 403 elderly (52% women), with a median age of 74 years and a mean BMI of 26.2 kg/m2. The mean FI score for the total group was 0.15 (range 0.005–0.56). The group was divided into a frail group (FI score ≥ 0.25) and non-frail group. After adjusting for BMI, age, sex, and smoking in the whole group, IL-6, cathepsin S, cystatin C, and Gp-acetyls remained significant associated to FI score (IL-6: 0.002, 95% CI: 0.001, 0.002, cathepsin S: 6.7e-06, 95% CI 2.44e-06, 0.00001, cystatin C: 0.004, 95% CI: 0.002, 0.006, Gp- Acetyls: 0.09, 95% CI: 0.05, 0.13, p < 0.01 for all), while CRP and IGF-1 were not (0.0003, 95% CI: -00001, 0.0007, p = 0.13, (-1.27e-06), 95% CI: (-0.0003), 0.0003, p = 0.99). There was a significant association between FI score and inflammatory markers, and FI score and monocyte-specific gene expression.ConclusionsWe found an association between FI score and inflammatory markers, and between FI score and monocyte-specific gene expression among elderly subjects above 70 years of age. Whether inflammation is a cause or consequence of frailty and whether the progression of frailty can be attenuated by reducing inflammation remains to be clarified.

5-year outcomes of surgical intervention in patients with adult spine deformity according to preoperative 5-item modified frailty index scores.

Frailty increases vulnerability to dependency and/or death, and is important in predicting the risk for adverse effects following adult spinal deformity (ASD) surgery. For easy determination of frailty, the 5-item modified frailty index (mFI-5) was established. However, there are few reports that show the relationship between frailty and mid-term operative outcomes after ASD surgery. The objective of this retrospective study is to determine the correlation of frailty using mFi-5 scores with postoperative medical complications, patient reported outcome measures (PROMs), and radiographic alignment 5years after ASD surgery. 208 patients were divided into robust (R), pre-frail (PF), and frail (F) groups based on mFI-5 scores. Postoperative medical complications, preoperative and 5-year follow-up PROMs and radiographic alignment were evaluated. The study included 91, 79, and 38 patients in group R, PF, and F, respectively. There was no significant difference in age and sex. Discharge to care facility (16 (18%):21 (27%):16 (42%), p = 0.014) and postoperative cardiac complications (2 (2%):0 (0%):3 (8%), p = 0.031) were higher in frail patients. Preoperative ODI (38.3:45.3:54.7, p < 0.001) and SRS-22 (2.7:2.5:2.3, p = 0.004), 5-year postoperative ODI (27:27.2:37.9, p = 0.015), 5-year postoperative SVA (57.8°:78.5°:86.4°, p = 0.039) and 5-year postoperative TPA (23.9°:29.4°:29.5°, p = 0.011) were significantly worse in group F compared to group R. Postoperatively, frail patients are more likely to have cardiac complications, inferior PROMs and deterioration of post-correction global spinal alignment. Preoperative assessment using mFI-5 is beneficial to individualize risks, optimize patients, and manage postoperative expectations.

Radiographic sarcopenic obesity measurements in elderly trauma patients do not predict adverse discharge disposition over injury severity score

Introduction There is a need for a predictive tool for adverse discharge disposition in the injured elderly patient population. However, many measurements of frailty are not practical and radiographic measurements of muscle and adipose tissue have yet to be correlated with adverse discharge disposition in this population. Methods A retrospective review of a prospectively gathered trauma database at a level one trauma center was performed, studying all adult trauma patients aged 55 years or older with an inpatient stay of greater than 2 days. Patients with a non-survivable head trauma (head Abbreviated Injury Score of 6) or serious central nervous system injury, history of cirrhosis or solid organ transplantation, those actively being treated with immunosuppressive medications, and those without an abdominal computerized tomography (CT) scan within the first 48 h of admission were excluded. Sarcopenia, sarcopenic obesity (SO), and five-item frailty index (5-iFI) score were obtained and analyzed against adverse discharge disposition. Results The study evaluated 444 patients, of which 48.9% were male with a median age of 78 years (range 55–99 years). All patients sustained blunt trauma, shock index was positive in 13.7%, and median ISS was 10 (range 1–43). SO was not independently predictive of adverse discharge disposition. Additionally, neither sarcopenia nor 5-iFI scores were found to be independently predictive. Lower ISS and age were found to be protective against adverse discharge disposition. Conclusion CT-based measurements of muscle and adipose tissue may not add value over traditional injury scores in older trauma patients.

Effects of China's Clean Air Act on Frailty Levels Among Middle-Aged and Older Adults: A Population-Based Quasi-Experimental Study.

Air pollution is a frailty risk factor, yet the frailty-related health benefits of China's air pollution control policy, the Clean Air Action (CCAA), are unclear. Frailty progression and transitions differ among robust, prefrail, and frail adults. This study aimed to evaluate the CCAA's effect on frailty levels among robust, prefrail, and frail Chinese adults. Using propensity score matching with difference-in-differences analysis, we studied 9788 adults aged ≥45 from the 2011 and 2018 China Health and Retirement Longitudinal Study. The Frailty Index (FI), summarizing 32 health deficits, quantifies frailty level (range: 0-1 scores). Frailty was defined as FI ≥ 0.25, prefrailty as FI 0.10-0.25, and robust as FI ≤ 0.10. We examined frailty transitions between these states (robust, prefrail, and frail) from 2011 to 2018. Based on provincial particulate matter reduction targets, participants were assigned to intervention (>10% reduction) or control (≤10%) groups and categorized as robust, prefrail, or frail pre-CCAA implementation. The CCAA significantly reduced FI scores among preimplementation robust individuals by 0.0205 and among prefrail individuals by 0.0114, with no significant changes in frail individuals. Frailty transition analyses confirmed specific benefits of the CCAA, which significantly reduced worsening from robust to prefrail or frail by 7.0% and prefrail to frail by 3.9%. However, it did not facilitate the improvement from frail to prefrail/robust or from prefrail back to robust. No significant subgroup differences were observed across age, gender, Hukou, education, and social participation. CCAA has been associated with a reduction in frailty deterioration in robust and prefrail populations.

Frailty before and during austerity: A time series analysis of the English Longitudinal Study of Ageing 2002-2018.

Frailty is characterised by a reduced resilience to adversity. In this analysis we examined changes in frailty in people aged 50+ before and during a period of austere public spending in England. Data from the English Longitudinal Study of Ageing 2002-2018 were analysed. Associations between austerity and frailty were examined using (1) Multilevel interrupted times series analysis (ITSA); and (2) Accelerated longitudinal modelling comparing frailty trajectories in people of the same age in 2002 and 2012. The analysis included 16,410 people (mean age 67 years, 55% women), with mean frailty index score of 0.16. Mean scores in women (0.16) where higher than in men (mean 0.14), and higher in the poorest tertile (mean 0.20) than the richest (mean 0.12). In the ITSA, frailty index scores increased more quickly during austerity than before, with the additional increase in frailty 2012-2018 being similar in magnitude to the difference in mean frailty score between people aged 65-69 and 70-74 years. Steeper increases in frailty after 2012 were experienced across the wealth-spectrum and in both sexes but were greater in the very oldest (80+). In the accelerated longitudinal analysis, frailty was lower in 2012 than 2002, but increased more rapidly in the 2012 cohort compared to the 2002 cohort; markedly so in people aged 80+. The period of austerity politics was associated with steeper increases in frailty with age compared to the pre-austerity period, consistent with previously observed increases in mortality.

Higher modified frailty index score is associated with 30-day postoperative complications following revision total shoulder arthroplasty

Background Previous studies have shown that increased 5-item modified frailty index (mFI-5) scores are associated with poor surgical outcomes. This study seeks to determine whether the comorbidities comprising the mFI-5 were correlated with poor outcomes following revision total shoulder arthroplasty (TSA). Methods Utilizing the National Surgical Quality Improvement Program database, a mFI-5 score was calculated for all patients 50 years and older who underwent revision TSA between 2013 and 2019. Pearson's Chi-squared tests and multivariable regression analysis were used to evaluate the association of the mFI score with various postoperative complications. Results Patients with a mFI-5 score of 2+ had significantly increased risk of readmission (OR 2.58), bleeding requiring transfusion (OR 3.66), extended length of stay (OR 2.43), and discharge to a non-home destination (OR 3.22) compared to patients with a mFI-5 score of 0. Relative to patients with a score of 1, those with a mFI-5 score of 2+ had an increased risk of postoperative transfusion (OR 2.46), extended length of stay (OR 2.16), and discharge to a non-home location (OR 2.84). Discussion The mFI-5 is a valuable tool that can stratify patients based on risk for postoperative complications following revision TSA.

Association between frailty and detrusor overactivity with detrusor underactivity in older women.

While detrusor overactivity (DO) with detrusor underactivity (DU) (DO-DU) has been described as typical of aging, the pathogenesis of DO-DU is highly multifactorial, and often thought to involve medical conditions beyond the urinary tract. We aimed to explore potential associations between idiopathic DO-DU and frailty in older women after accounting for age. The design of the study is a cross-sectional single-center study, in an outpatient urodynamic unit specializing in geriatrics. Participants are consecutive female patients aged ≥65 years without contributory neurological conditions or bladder outlet obstruction who completed a comprehensive geriatric assessment followed by urodynamic evaluation from 2015 to 2019. Participants were categorized as having DO, DU, combined DO-DU, or a negative study. Multinomial logistic regression analysis was used to assess the relationship between urodynamic outcomes and frailty, as quantified using the Frailty index (FI). Ninety-five patients were included (median age 78 [interquartile range: 70-83] years), among whom 29% had combined DO-DU. The median FI score was 0.27 (0.2-0.32) (5-12). A higher FI was associated with significantly greater age-adjusted odds of DO-DU when either DU or subjects with a negative urodynamic assessment were used as the reference group. Age was not significantly associated with DO-DU across all multivariable analyses. A higher FI was associated with an increased likelihood of DO-DU, which could not be attributed to the effect of age alone. The pathogenesis of DO-DU is likely more complex than chronological aging in and of itself and merits further study.

Effects of an integrated ambulatory care program on healthcare utilization and costs in older patients with multimorbidity: a propensity score-matched cohort study

BackgroundPopulation aging has increased the prevalence of multimorbidity, jeopardizing the sustainability and efficiency of healthcare systems. This study aimed to evaluate the effects of an integrated ambulatory care program (IACP) on healthcare utilization and costs among older patients with multimorbidity while accounting for the confounding effects of frailty.MethodsA retrospective cohort study using propensity matching including patients aged 65 or older with two or more chronic conditions attending the outpatient clinic at our hospital between June 1 and December 31, 2019, was conducted. Exposure was defined as receipt of IACP care. Patients not undergoing the IACP comprised the unexposed group and were matched at a ratio of 1:4 to patients undergoing the IACP group according to sex, age, Charlson Comorbidity Index score, multimorbidity frailty index score, and number of outpatient visits within 6 months before the index date. Outcomes were changes in healthcare utilization and related costs between 6 months before and after receiving IACP care. Multivariate regression analyses were used for data analysis and the Generalized Estimation Equation method was used to fit the regression models.ResultsA total of 166 (IACP) and 664 (non-exposed) patients were analyzed. The mean participant baseline ages were 77.15 ± 7.77 (IACP) and 77.28 ± 7.90 years (unexposed). In univariate analyses, the IACP group demonstrated greater reductions than the unexposed group in the frequency of outpatient visits (-3.16 vs. -1.36, p < 0.001), number of physicians visited (-0.99 vs. -0.17, p < 0.001), diagnostic fees (-1300 New Taiwan Dollar [NTD] vs. -520 NTD, p < 0.001), drug prescription fees (-250 NTD vs. -70 NTD, p < 0.001), and examination fees (-1620 NTD vs. -700 NTD, p = 0.014). Multivariate analyses demonstrated that patients in the IACP group experienced significant reduction in the frequency of outpatient visits (95% CI: -0.357 to -0.181, p < 0.001), number of physicians visited (95% CI: -0.334 to -0.199, p < 0.001), and overall outpatient costs (95% CI: -0.082 to -0.011, p = 0.01). However, emergency department utilization, hospitalization, and costs did not differ significantly.ConclusionsExpanding IACPs may help patients with multimorbidity reduce their use of outpatient clinics at the 6-month follow-up, reduce care fragmentation, and promote sustainability of the healthcare system.

Impact of mental disorders on unplanned readmissions for congestive heart failure patients: a population-level study.

Reducing preventable hospitalization for congestive heart failure (CHF) patients is a challenge for health systems worldwide. CHF patients who also have a recent or ongoing mental disorder may have worse health outcomes compared with CHF patients with no mental disorders. This study examined the impact of mental disorders on 28day unplanned readmissions of CHF patients. This retrospective cohort study used population-level linked public and private hospitalization and death data of adults aged ≥18years who had a CHF admission in New South Wales, Australia, between 1 January 2014 and 31 December 2020. Individuals' mental disorder diagnosis and Charlson comorbidity and hospital frailty index scores were derived from admission records. Competing risk and cause-specific risk analyses were conducted to examine the impact of having a mental disorder diagnosis on all-cause hospital readmission. Of the 65861 adults with index CHF admission discharged alive (mean age: 78.6±12.1; 48% female), 19.2% (12675) had at least one unplanned readmission within 28days following discharge. Adults with CHF with a mental disorder diagnosis within 12months had a higher risk of 28day all-cause unplanned readmission [hazard ratio (HR): 1.21, 95% confidence interval (CI): 1.15-1.27, P-value<0.001], particularly those with anxiety disorder (HR: 1.49, 95% CI: 1.35-1.65, P-value<0.001). CHF patients aged ≥85years (HR: 1.19, 95% CI: 1.11-1.28), having ≥3 other comorbidities (HR: 1.35, 95% CI: 1.25-1.46), and having an intermediate (HR: 1.34, 95% CI: 1.28-1.40) or high (HR: 1.37, 95% CI: 1.27-1.47) frailty score on admission had a higher risk of unplanned readmission. CHF patients with a mental disorder who have ≥3 other comorbidities and an intermediate frailty score had the highest probability of unplanned readmission (29.84%, 95% CI: 24.68-35.73%) after considering other patient-level factors and competing events. CHF patients who had a mental disorder diagnosis in the past 12months are more likely to be readmitted compared with those without a mental disorder diagnosis. CHF patients with frailty and a mental disorder have the highest probability of readmission. Addressing mental health care services in CHF patient's discharge plan could potentially assist reduce unplanned readmissions.

Frailty as a Predictor of Postoperative Morbidity and Mortality in Patients Aged 80 Years and Older Undergoing Instrumented Fusion.

Degenerative spine disease is a leading cause of disability, with increasing prevalence in the older patients. While age has been identified as an independent predictor of outcomes, its predictive value is limited for similar older patients. Here, we aimed to determine the most predictive frailty score of adverse events in patients aged 80 and older undergoing instrumented lumbar fusion. We proceeded with a multisite (3 tertiary academic centers) retrospective review including patients undergoing instrumented fusion aged 80 and older from January 2010 to present. A composite end point encompassing 30-day return to operating room, readmission, and mortality was created. We estimated the area under the receiver operating characteristic curve for frailty scores (Modified Frailty Index-5 [MFI-5], Modified Frailty Index-11 [MFI-11], and Charlson Comorbidity Index [CCI]) in relation to that composite score. In addition, we estimated the association between each score and the composite end point by means of logistic regression. A total of 153 patients with an average age of 85 years at the time of surgery were included. We observed a 30-day readmission rate of 11.1%, reoperation of 3.9%, and mortality of 0.6%. The overall rate of the composite end point at 30 days was 25 (15.1%). The AUC for MFI-5 was 0.597 (0.501-0.693), for MFI-11 was 0.620 (0.518-0.723), and for CCI was 0.564 (0.453-0.675). The association between the scores and composite end point did not reach statistical significance for MFI-5 (odds ratio [OR] = 1.45 [0.98-2.15], P = .061) and CCI (OR = 1.13 [0.97-1.31], P = .113) but was statistically significant for MFI-11 (OR = 1.46 [1.07-2.00], P = .018). This is the largest study comparing frailty index scores in octogenarians undergoing instrumented lumbar fusion. Our findings suggest that while MFI-11 score correlated with adverse events, the predictive ability of existing scores remains limited, highlighting the need for better approaches to identify select patients at age extremes.

Prognostic accuracy of 70 individual frailty biomarkers in predicting mortality in the Canadian Longitudinal Study on Aging

The frailty index (FI) uses a deficit accumulation approach to derive a single, comprehensive, and replicable indicator of age-related health status. Yet, many researchers continue to seek a single “frailty biomarker” to facilitate clinical screening. We investigated the prognostic accuracy of 70 individual biomarkers in predicting mortality, comparing each with a composite FI. A total of 29,341 individuals from the comprehensive cohort of the Canadian Longitudinal Study on Aging were included (mean, 59.4 ± 9.9 years; 50.3% female). Twenty-three blood-based biomarkers and 47 test-based biomarkers (e.g., physical, cardiac, cardiology) were examined. Two composite FIs were derived: FI-Blood and FI-Examination. Mortality status was ascertained using provincial vital statistics linkages and contact with next of kin. Areas under the curve were calculated to compare prognostic accuracy across models (i.e., age, sex, biomarker, FI) in predicting mortality. Compared to an age-sex only model, the addition of individual biomarkers demonstrated improved model fit for 24/70 biomarkers (11 blood, 13 test-based). Inclusion of FI-Blood or FI-Examination improved mortality prediction when compared to any of the 70 biomarker-age-sex models. Individual addition of seven biomarkers (walking speed, chair rise, time up and go, pulse, red blood cell distribution width, C-reactive protein, white blood cells) demonstrated an improved fit when added to the age-sex-FI model. FI scores had better mortality risk prediction than any biomarker. Although seven biomarkers demonstrated improved prognostic accuracy when considered alongside an FI score, all biomarkers had worse prognostic accuracy on their own. Rather than a single biomarker test, implementation of routine FI assessment in clinical settings may provide a more accurate and reliable screening tool to identify those at increased risk of adverse outcomes.

PeRsOnaliSed care Planning for oldER people with frailty (PROSPER): protocol for a randomised controlled trial

BackgroundFrailty is common in older age and is characterised by loss of biological reserves across multiple organ systems. These changes associated with frailty mean older people can be vulnerable to sudden, dramatic changes in health because of relatively small problems. Older people with frailty are at increased risk of adverse outcomes including disability, hospitalisation, and care home admission, with associated reduction in quality of life and increased NHS and social care costs. Personalised Care Planning offers an anticipatory, preventative approach to supporting older adults to live independently for longer, but it has not been robustly evaluated in a population of older adults with frailty.MethodsFollowing an initial feasibility study, this multi-centre, individually randomised controlled trial aims to establish whether personalised care planning for older people improves health-related quality of life. It will recruit 1337 participants from general practices across Yorkshire and Humber and Mid-Mersey in the North of England. Eligible patients will be aged 65 and over with an electronic frailty index score of 0.21 or above, living in their own homes, without severe cognitive impairment and not in receipt of end-of-life care. Following confirmation of eligibility, informed consent and baseline data collection, participants will be individually randomised to the PeRsOnaliSed care Planning for oldER people with frailty (PROSPER) intervention or usual care in a 2.6:1 allocation ratio. Participants will not be blinded to allocation, but data collection and analysis will be blinded. The intervention will be delivered over 12 weeks by a Personal Independence Co-ordinator worker based within a voluntary sector organisation, Age UK. The primary outcomes are health-related quality of life, measured using both the physical and mental components of the Short-Form 12 Item Health Questionnaire at 12 months after randomisation. Secondary outcomes comprise activities of daily living, self-management capabilities and loneliness, admission to care homes, hospitalisations, and health and social care resource use at 12 months post randomisation. Parallel cost-effectiveness and process evaluations will be conducted alongside the trial.DiscussionThe PROSPER study will evaluate the effectiveness and cost-effectiveness of a personalised care planning approach for older people with frailty and inform the process of its implementation.Trial registrationmailto:ISRCTN16123291. Registered on 28 August 2020.