Frailty and Multimorbidity: Different Ways of Thinking About Geriatrics

Health octo tool matches personalized health with rate of aging

Medical practice mainly addresses single diseases, neglecting multimorbidity as a heterogeneous health decline across organ systems. Aging is a multidimensional process and cannot be captured by a single metric. Therefore, we assessed global health in longitudinal studies, BLSA (n = 907), InCHIANTI (n = 986), and NHANES (n = 40,790), by examining disease severities in 13 bodily systems, generating the Body Organ Disease Number (BODN), reflecting progressive system morbidities. We used Bayesian ordinal models, regressing BODN over organ specific and all organs disease severities to obtain Body System-Specific Clocks and the Body Clock, respectively. The Body Clock is BODN weighted by the posterior coefficient of diseases for each individual. It supersedes the frailty index, predicting disability, geriatric syndrome, SPPB, and mortality with ≥90% accuracy. The Health Octo Tool, derived from Bodily System-Specific Clocks, the Body Clock and Clocks that incorporate walking speed and disability and their aging rates, captures multidimensional aging heterogeneity across organs and individuals.

Validation of the nurse directed frailty assessment tool, to identify patients at risk of emergency department visits, hospitalisation, and 1-year all-cause mortality

METHODS

This is a validation study of a new frailty assessment that can be administered by outpatient care nurses. The nurse directed frailty assessment (NDFA) encompasses the medical, psychological, social, and functional domain, based on standard care, and can be performed without any specialised equipment. Performance of the NDFA is compared to a comprehensive geriatric assessment (CGA)-based frailty index (FI), with generalised linear model with reporting of hazard ratios (HR) and 95% confidence intervals (95% CI). The best cutoff value for the NDFA was assessed by Youden index and the area under the receiver operator curve (ROC).

RESULTS

Within 1 year, 15 patients (5%) died, 57 (18%) had an unplanned hospital admission, and 83 (26%) visited the emergency department (ED). Based on the Youden index and ROC curve, the best cutoff value for the NDFA was 4 points. With a binary logistic regression model, an HR of 3.59 (95% CI 1.16-11.15, p < 0.001) was found for mortality. In the general mixed model with Poisson logistic regression, an HR of 1.78 (95% CI 1.06-2.97, p 0.028) was found for unplanned hospital and an HR of 1.87 (95% CI 1.25-2.78, p 0.002) was found for ED visits. The HR and 95% CI of the FI were similar for all three outcome measures.

CONCLUSIONS

The NDFA identifies patients at risk for hospitalisation, emergency department visits, and mortality within 12 months equally well as the FI. Further research is necessary to determine the effectiveness of the NDFA in other settings than the geriatric medicine outpatient population.

Associated factors of frailty among community-dwelling older adults with multimorbidity from a health ecological perspective: a cross-sectional study

BACKGROUND

As the global aging process accelerates, the older population is increasing annually, with the majority suffering from one or more chronic diseases. Due to the influence of chronic disease comorbidity, frailty among the older is widespread. Therefore, early identification of frailty in older adults with comorbidities from a comprehensive perspective, along with proactive measures for prevention and timely intervention, becomes an inevitable requirement for healthy aging. This study aimed to identify the entry point of frailty management in the older with multimorbidity in the community and clarify the focus of frailty management.

METHODS

A national cross-sectional survey of 1056 older adults with comorbidities in 148 cities across China was conducted. Frailty was assessed using the Fatigue, Resistance, Ambulation, Illnesses, and Loss of weight (FRAIL) scale. Based on the health ecological model, the factors which may influence frailty were collected from five levels. Univariate and multivariate analysis were utilized to determine the factors influencing frailty. The STROBE checklist was used preparing the manuscript.

RESULTS

A total of 417 patients (39.5%) reported having frailty, while 613 patients (58.0%) were in the pre-frail state. Multivariate logistic regression analysis indicate that compared with robust patients, number of comorbidities, self-efficacy, sleep quality and perceived social support are associated with frailty in older patients with comorbidities (P < 0.05). Compared to pre-frail group, factors such as number of comorbidities, gender (female), cognitive status of diseases, anxiety, having four or more comorbidities, smoking, eating habits, taking three or more different types of medication and perceived social support are associated with frailty (P < 0.05).

CONCLUSIONS

The prevalence of frailty among older adults with comorbidities is exceptionally high, influenced by various dimensions from health ecology perspective. Psychological care and daily behavior management should be strengthened for the frail older with multimorbidity. Precise and individualized care interventions need to be developed to help promote healthy aging.

Frailty in Geriatrics: A Critical Review with Content Analysis of Instruments, Overlapping Constructs, and Challenges in Diagnosis and Prognostic Precision

Frailty is a key concept in geriatric care; yet its definition and assessment remain debated. Since the early 2000s, two main models have emerged: the Fried frailty phenotype, focusing on physical deficits, and the Mitnitski frailty index, which incorporates broader health factors. These divergent approaches have led to over 50 frailty instruments, reflecting the absence of a unified framework. This review explores the content, weighting, and scoring methods of frailty instruments, identifying potential concerns derived from this. This review exposes the overlap of frailty with other constructs including function, disability, morbidity, and sarcopenia. Many instruments lack content validity, and detect highly heterogeneous samples within and between scales, all labeled under the "frail" tag. This poses challenges to interpreting instrument responsiveness. In addition, frailty should not be considered a clinical entity with a unique etiology. This review discusses how the broad nature of frailty conflicts with modern paradigms of individualization and precision. They may be useful in primary care, but lack the specificity for secondary care evaluations. This article also discusses how the predictive validity of frailty should be interpreted with caution. Finally, we summarize our findings and propose a new definition of frailty, highlighting the strengths and weaknesses of the construct. The identified inconsistencies should serve as a guide for refining the concept of frailty, both in research and in its application to geriatric care.

Navigating the Future of Elderly Healthcare: A Comprehensive Analysis of Aging Populations and Mortality Trends Using National Inpatient Sample (NIS) Data (2010-2024)

The rapid growth of the elderly population in high-income countries, particularly the United States, is reshaping healthcare systems and exacerbating the burden of age-related diseases. By 2060, the U.S. population aged 65 years and older is projected to nearly double, with the oldest cohort (85+) tripling in size. This demographic shift is contributing to rising mortality rates due to chronic conditions such as Alzheimer's disease, cardiovascular diseases, frailty, and multi-morbidity. Utilizing data from the National Inpatient Sample (NIS) from 2010 to 2024, this review examines key trends in mortality, hospital utilization, and the healthcare system's capacity to manage these shifts. We identify the leading causes of death, hospital admission patterns, and the increasing demand for long-term care. The paper further explores the policy implications of these trends, highlighting the need for integrated care models, geriatric specialization, and preventive healthcare strategies to address the growing demands of an aging population. By providing a comprehensive analysis of these issues, this article aims to inform healthcare policy, improve care delivery for the elderly, and promote further research in geriatric healthcare.

Nurses' Perception of Their Role in Leading Nurse-Led Interventions in Intrinsic Capacity Assessment to Improve Nursing Care of Older Adults

AIM

To explore nurses' perceptions of their role in leading nursing interventions for each domain of intrinsic capacity, based on the Integrated Care for Older People (ICOPE) framework to enhance care for older adults in acute settings.

DESIGN

A qualitative descriptive design was adopted.

METHODS

Conducted in a Singapore acute hospital from August to November 2023, recruited 21 inpatient nurses with at least 2 years of experience through purposive sampling. Data were collected via semi-structured interviews with 20 participants and one pilot participant. Inductive thematic analysis identified themes from the responses.

RESULTS

Four key themes emerged regarding nurses' roles in implementing the ICOPE framework: (1) Creating Awareness: emphasises communication to enhance understanding of ICOPE; (2) Providing Education: highlights structured educational initiatives; (3) Executing ICOPE: recognises nurses' role in interventions amid autonomy and workload challenges; and (4) Gathering Feedback: ensuring continuous input to enhance care quality.

CONCLUSION

The findings emphasise nurses' roles within the ICOPE framework, advocating for empowerment and collaboration to enhance care quality for older adults in acute settings.

IMPLICATIONS

This study highlights the need for nurses to understand their roles and independently lead nurse-led interventions. Healthcare institutions should facilitate this empowerment by reviewing existing nursing assessments to avoid duplication and optimise nurses' integration into the framework.

IMPACT

This study demonstrates the feasibility of the ICOPE framework in Singapore, empowering nurses to initiate interventions that enhance older adults' care and intrinsic capacity.

REPORTING METHOD

Adheres to the COREQ guidelines for qualitative research.

PATIENT OR PUBLIC CONTRIBUTION

None.

Development and validation of machine learning models to predict frailty risk for elderly

AIMS

Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.

DESIGN

A prospective cohort study.

METHODS

We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6-7 surveys (2011-2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2-8) in 2000-2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6-7). Model performance was assessed by receiver operating curve and F2-score.

RESULTS

Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%).

CONCLUSION

Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.

IMPACT

The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life.

REPORTING METHOD

The study has adhered to STROBE guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Physical activity and sedentary behaviour interventions for people living with both frailty and multiple long-term conditions and their informal carers: a scoping review and stakeholder consultation

INTRODUCTION

This scoping review mapped evidence on physical activity (including structured exercise) and sedentary behaviour interventions (interventions to reduce sedentary behaviour) in people living with both frailty and multiple long-term conditions (MLTCs) and their informal carers.

METHODS

Ten databases and grey literature were searched from 2000 to October 2023. Two reviewers screened studies and one extracted data. Results were shared with three stakeholder groups (n = 21) in a consultation phase.

RESULTS

After screening, 155 papers from 144 studies (1 ongoing) were retained. The majority were randomised controlled trials (86, 55%). Participants' mean age was 73 ± 12 years, and 73% were of White ethnicity. MLTC and frailty measurement varied widely. Most participants were pre-to-moderately frail. Physical health conditions predominated over mental health conditions.Interventions focused on structured exercise (83 studies, 60%) or combined interventions (55 studies, 39%). Two (1%) and one (0.7%) focused solely on habitual physical activity or sedentary behaviour. Adherence was 81% (interquartile range 62%-89%) with goal setting, monitoring and support important to adherence. Carers were only involved in 15 (11%) studies. Most interventions reported positive outcomes, primarily focusing on body functions and structures.

CONCLUSIONS

A modest volume of evidence exists on multicomponent structured exercise interventions, with less focus on habitual physical activity and sedentary behaviour. Interventions report largely positive effects, but an updated systematic review is required. The field could be advanced by more rigorous characterisation of MLTCs, socioeconomic status and ethnicity, increased informal carer involvement and further evaluation of habitual physical activity and sedentary behaviour interventions.

Adaptation of the comprehensive rheumatologic assessment of frailty (CRAF) as a multidimensional frailty screening tool in patients with rheumatoid arthritis in Vietnam

BACKGROUND

In recent times, there has been acknowledgment of the prevalence of frailty and pre-frailty among individuals with rheumatoid arthritis (RA). Comprehensive Rheumatologic Assessment of Frailty (CRAF) stands out as a dependable tool grounded in synthesis and clinical judgment. Despite this, a validated Vietnamese rendition of the CRAF is currently unavailable. This study seeks to assess the reliability and validity of the CRAF in a patient with RA in Vietnam.

METHODS

A cross-sectional investigation was carried out with 402 patients diagnosed with rheumatoid arthritis, encompassing both inpatients and outpatients at the Centre for Rheumatology at Bach Mai Hospital in Hanoi, Vietnam. CRAF was employed to gauge the extent of frailty. To establish convergent validity, the scores from the CRAF were correlated with those from the Fried phenotype. Discriminant validity was ascertained through the utilization of receiver operating characteristic (ROC) curve analysis. Additionally, a multivariate logistic regression model was applied to evaluate the individual determinants' relative impact on the CRAF.

RESULTS

In testing for convergent validity, a significant correlation was found between CRAF and Fried phenotype (p < 0.001). The discriminatory power of CRAF was higher than those of the Fried phenotype (difference between areas under the ROC curves = 0.947 (95% CI: 0.927-0.967). Variables associated with frailty at the multivariate analysis were comorbitidy, medication intake, BMI, DAS28-CRP, and age (all at p < 0.01).

CONCLUSION

CRAF exhibited strong validity and accurate discrimination. Incorporating frailty assessment into regular rheumatological practices could signify a significant advancement in the care of rheumatoid arthritis.

Characteristics and demography of low energy fall injuries in patients > 60 years of age: a population-based analysis over a decade with focus on undertriage

BACKGROUND

An increasing group of elderly patients is admitted after low energy falls. Several studies have shown that this patient group tends to be severely injured and is often undertriaged.

METHODS

Patients > 60 years with low energy fall (< 1 m) as mechanism of injury were identified from the Stavanger University Hospital trauma registry. The study period was between 01.01.11 and 31.12.20. Patient and injury variables as well as clinical outcome were described. Undertriage was defined as patients with a major trauma, i.e., Injury Severity Score (ISS) > 15, without trauma team activation. Statistical analysis was performed using the Chi-squared test for categorical variables and the Mann-Whitney U test for continuous variables.

RESULTS

Over the 10-year study period, 388 patients > 60 years with low energy fall as mechanism of injury were identified. Median age was 78 years (IQR 68-86), and 53% were males. The location of major injury was head injury in 41% of the patients, lower extremities in 19%, and thoracic injuries in 10%. Thirty-day mortality was 13%. Fifty percent were discharged to home, 31% to nursing home, 9% in hospital mortality, and the remaining 10% were transferred to other hospitals or rehabilitation facilities. Ninety patients had major trauma, and the undertriage was 48% (95% confidence interval, 38 to 58%).

CONCLUSIONS

Patients aged > 60 years with low energy falls are dominated by head injuries, and the 30-day mortality is 13%. Patients with major trauma are undertriaged in half the cases mandating increased awareness of this patient group.

Age- and sex-specific associations of frailty with mortality and healthcare utilization in community-dwelling adults from ontario, Canada

BACKGROUND

Understanding how health trajectories are related to the likelihood of adverse outcomes and healthcare utilization is key to planning effective strategies for improving health span and the delivery of care to older adults. Frailty measures are useful tools for risk stratification in community-based and primary care settings, although their effectiveness in adults younger than 60 is not well described.

METHODS

We performed a 10-year retrospective analysis of secondary data from the Ontario Health Study, which included 161,149 adults aged ≥ 18. Outcomes including all-cause mortality and hospital admissions were obtained through linkage to ICES administrative databases with a median follow-up of 7.1-years. Frailty was characterized using a 30-item frailty index.

RESULTS

Frailty increased linearly with age and was higher for women at all ages. A 0.1-increase in frailty was significantly associated with mortality (HR = 1.47), the total number of outpatient (IRR = 1.35) and inpatient (IRR = 1.60) admissions over time, and length of stay (IRR = 1.12). However, with exception to length of stay, these estimates differed depending on age and sex. The hazard of death associated with frailty was greater at younger ages, particularly in women. Associations with admissions also decreased with age, similarly between sexes for outpatient visits and more so in men for inpatient.

CONCLUSIONS

These findings suggest that frailty is an important health construct for both younger and older adults. Hence targeted interventions to reduce the impact of frailty before the age of 60 would likely have important economic and social implications in both the short- and long-term.

Accelerated biological aging elevates the risk of cardiometabolic multimorbidity and mortality

Associations of biological aging with the development and mortality of cardiometabolic multimorbidity (CMM) remain unclear. Here we conducted a multistate analysis in 341,159 adults of the UK Biobank. CMM was defined as the coexistence of two or three cardiometabolic diseases (CMDs), including type 2 diabetes, ischemic heart disease and stroke. Biological aging was measured using the Klemera-Doubal Method Biological Age and PhenoAge algorithms. Over a median follow-up of 8.84 years, biologically older participants demonstrated robust higher risks from first CMD to CMM and then to death. In particular, adjusted hazard ratios for first CMD to CMM and for CMM to death were 1.15 (95% confidence interval (CI): 1.12, 1.19) and 1.26 (95% CI: 1.17, 1.35) per 1 s.d. increase in PhenoAge acceleration, respectively. Compared with frailty, Framingham Risk Score and Systematic Coronary Risk Evaluation 2 (SCORE2), biological aging measures yielded consistent substantial associations with CMM development. Accelerated biological aging may help identify individuals with CMM risks, potentially enabling early intervention and subclinical prevention.

Comparing the use of aggressive end-of life care among frail and non-frail patients with cancer using a claims-based frailty index

INTRODUCTION

Despite mounting consensus that end-of-life (EOL) care for patients with cancer should focus on improving quality of life, many patients continue to receive aggressive, disease-oriented treatment until death. Within this group, patients with increased frailty may be at higher risk of adverse treatment-related outcomes. We therefore examined the relationship between degree of frailty and receipt of aggressive EOL care among Medicare-insured patients with cancer in Ohio.

MATERIALS AND METHODS

From the Ohio Cancer Incidence Surveillance System (OCISS) linked with Medicare claims, we identified patients diagnosed with breast, colorectal, lung, or prostate cancer who died between 2012 and 2016. Frailty was operationalized using a validated claims-based frailty index. Six quality indicators reflecting receipt of aggressive EOL care were identified from claims: (1) any cancer-directed treatment, (2) >1 emergency department (ED) visit, (3) >1 hospital admission, (4) any intensive care unit (ICU) admission in the last 30 days of life, (5) entry to hospice in the last three days of life, and (6) in-hospital mortality. Multivariable logistic regression analysis was performed to control for demographic factors, Medicare and Medicaid dual enrollment, and cancer type and stage in the relationship between frailty and aggressive EOL care.

RESULTS

Overall, 31,465 patients met selection criteria. Patients with moderate/severe frailty were less likely than non-/pre-frail patients to receive any aggressive EOL care (adjusted odds ratio [aOR] 0.92 [95% confidence interval 0.86-0.99]). This group was also less likely to undergo cancer-directed treatment in their last 30 days or to enter hospice in their last three days. Increasing frailty was associated with lower odds of admission to the ICU in the last 30 days of life (mild frailty: aOR 0.88 [0.83-0.94]; moderate/severe frailty: aOR 0.85 [0.78-0.92]) or of dying in-hospital (mild frailty: 0.85 [0.79-0.91]; moderate/severe frailty: aOR 0.74 [0.67-0.82]), but higher odds of having >1 ED visit in the last 30 days of life (mild frailty: aOR 1.43 [1.32-1.53]; moderate/severe frailty: aOR 1.61 [1.47-1.77]).

DISCUSSION

These findings suggest the need for more explicit discussion of emergency care seeking for patients with cancer at the end of life.

Combining the Hospital Frailty Risk Score With the Charlson and Elixhauser Multimorbidity Indices to Identify Older Patients at Risk of Poor Outcomes in Acute Care

OBJECTIVE

The Hospital Frailty Risk Score (HFRS) can be applied to medico-administrative datasets to determine the risks of 30-day mortality and long length of stay (LOS) in hospitalized older patients. The objective of this study was to compare the HFRS with Charlson and Elixhauser comorbidity indices, used separately or combined.

DESIGN

A retrospective analysis of the French medical information database. The HFRS, Charlson index, and Elixhauser index were calculated for each patient based on the index stay and hospitalizations over the preceding 2 years. Different constructions of the HFRS were considered based on overlapping diagnostic codes with either Charlson or Elixhauser indices. We used mixed logistic regression models to investigate the association between outcomes, different constructions of HFRS, and associations with comorbidity indices.

SETTING

743 hospitals in France.

PARTICIPANTS

All patients aged 75 years or older hospitalized as an emergency in 2017 (n=1,042,234).Main outcome measures: 30-day inpatient mortality and LOS >10 days.

RESULTS

The HFRS, Charlson, and Elixhauser indices were comparably associated with an increased risk of 30-day inpatient mortality and long LOS. The combined model with the highest c-statistic was obtained when associating the HFRS with standard adjustment and Charlson for 30-day inpatient mortality (adjusted c-statistics: HFRS=0.654; HFRS + Charlson = 0.676) and with Elixhauser for long LOS (adjusted c-statistics: HFRS= 0.672; HFRS + Elixhauser =0.698).

CONCLUSIONS

Combining comorbidity indices and HFRS may improve discrimination for predicting long LOS in hospitalized older people, but adds little to Charlson's 30-day inpatient mortality risk.

Associations of individual chronic diseases and multimorbidity with multidimensional frailty

OBJECTIVE

To examine the associations between individual chronic diseases and multidimensional frailty comprising physical, psychological, and social frailty.

METHODS

Dutch individuals (N = 47,768) age ≥ 65 years completed a general health questionnaire sent by the Public Health Services (response rate of 58.5 %), including data concerning self-reported chronic diseases, multidimensional frailty, and sociodemographic characteristics. Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI). Total frailty and each frailty domain were regressed onto background characteristics and the six most prevalent chronic diseases: diabetes mellitus, cancer, hypertension, arthrosis, urinary incontinence, and severe back disorder. Multimorbidity was defined as the presence of combinations of these six diseases.

RESULTS

The six chronic diseases had medium and strong associations with total ((f2 = 0.122) and physical frailty (f2 = 0.170), respectively, and weak associations with psychological (f2 = 0.023) and social frailty (f2 = 0.008). The effects of the six diseases on the frailty variables differed strongly across diseases, with urinary incontinence and severe back disorder impairing frailty most. No synergetic effects were found; the effects of a disease on frailty did not get noteworthy stronger in the presence of another disease.

CONCLUSIONS

Chronic diseases, in particular urinary incontinence and severe back disorder, were associated with frailty. We thus recommend assigning different weights to individual chronic diseases in a measure of multimorbidity that aims to examine effects of multimorbidity on multidimensional frailty. Because there were no synergetic effects of chronic diseases, the measure does not need to include interactions between diseases.

Do critical illness survivors with multimorbidity need a different model of care?

There is currently a lack of evidence on the optimal strategy to support patient recovery after critical illness. Previous research has largely focussed on rehabilitation interventions which aimed to address physical, psychological, and cognitive functional sequelae, the majority of which have failed to demonstrate benefit for the selected outcomes in clinical trials. It is increasingly recognised that a person's existing health status, and in particular multimorbidity (usually defined as two or more medical conditions) and frailty, are strongly associated with their long-term outcomes after critical illness. Recent evidence indicates the existence of a distinct subgroup of critical illness survivors with multimorbidity and high healthcare utilisation, whose prior health trajectory is a better predictor of long-term outcomes than the severity of their acute illness. This review examines the complex relationships between multimorbidity and patient outcomes after critical illness, which are likely mediated by a range of factors including the number, severity, and modifiability of a person's medical conditions, as well as related factors including treatment burden, functional status, healthcare delivery, and social support. We explore potential strategies to optimise patient recovery after critical illness in the presence of multimorbidity. A comprehensive and individualized approach is likely necessary including close coordination among healthcare providers, medication reconciliation and management, and addressing the physical, psychological, and social aspects of recovery. Providing patient-centred care that proactively identifies critical illness survivors with multimorbidity and accounts for their unique challenges and needs is likely crucial to facilitate recovery and improve outcomes.

The frail patient undergoing cardiac surgery: lessons learned and future perspectives

Frailty is a geriatric condition characterized by the reduction of the individual's homeostatic reserves. It determines an increased vulnerability to endogenous and exogenous stressors and can lead to poor outcomes. It is an emerging concept in perioperative medicine, since an increasing number of patients undergoing surgical interventions are older and the traditional models of care seem to be inadequate to satisfy these patients' emerging clinical needs. Nowadays, the progressive technical and clinical improvements allow to offer cardiac operations to an older, sicker and frail population. For these reasons, a multidisciplinary team involving cardiac surgeons, clinical cardiologists, anesthesiologists, and geriatricians, is often needed to assess, select and provide tailored care to these high-risk frail patients to optimize clinical outcomes. There is unanimous agreement that frailty assessment may capture the individual's biological decline and the heterogeneity in risk profile for poor health-related outcomes among people of the same age. However, since commonly used preoperative scores for cardiac surgery fail to capture frailty, a specific preoperative assessment with dedicated tools is warranted to correctly recognize, measure and quantify frailty in these patients. On the contrary, pre-operative and post-operative interventions can reduce the risk of complications and support patient recovery promoting surgical resilience. Minimally invasive cardiac procedures aim to reduce surgical trauma and may be associated with better clinical outcome in this specific sub-group of high-risk patients. Among postoperative adverse events, the occurrence of delirium represents a risk factor for several unfavorable outcomes including mortality and subsequent cognitive decline. Its presence should be carefully recognized, triggering an adequate, evidence based, treatment. There is evidence, from several cross-section and longitudinal studies, that frailty and delirium may frequently overlap, with frailty serving both as a predisposing factor and as an outcome of delirium and delirium being a marker of a latent condition of frailty. In conclusion, frail patients are at increased risk to experience poor outcome after cardiac surgery. A multidisciplinary approach aimed to recognize more vulnerable individuals, optimize pre-operative conditions, reduce surgical invasivity and improve post-operative recovery is required to obtain optimal long-term outcome.

The association of demographics, frailty and multiple health conditions with outcomes from acute medical admissions to hospitals in England: exploratory analysis of an administrative dataset

Emergency and acute hospital services in England are under increasing pressure. The aim of this study was to investigate the association between key case-mix indicators and outcomes for adults admitted to hospital with an acute medical condition in England. All patients aged ≥16 years admitted to hospital in England as an acute unselected medical admission and who survived to discharge during the financial year 2021-2022 were included. Length of hospital stay was the primary outcome of interest. Data were available for 1,586,168 unique patients. A case-mix index was developed with a score that ranged from 0 to 12. Frailty was the most important variable in the index, followed by multiple health conditions and patient age. The mean case-mix score across hospital trusts in England ranged from 5.3 to 7.8. The case-mix index will support initiatives to better understand factors contributing to outcomes from acute medical admissions to hospital.

Prediction of early death after atrial fibrillation diagnosis using a machine learning approach: A French nationwide cohort study

AIMS

Atrial fibrillation is associated with important mortality but the usual clinical risk factor based scores only modestly predict mortality. This study aimed to develop machine learning models for the prediction of death occurrence within the year following atrial fibrillation diagnosis and compare predictive ability against usual clinical risk scores.

METHODS AND RESULTS

We used a nationwide cohort of 2,435,541 newly diagnosed atrial fibrillation patients seen in French hospitals from 2011 to 2019. Three machine learning models were trained to predict mortality within the first year using a training set (70% of the cohort). The best model was selected to be evaluated and compared with previously published scores on the validation set (30% of the cohort). Discrimination of the best model was evaluated using the C index. Within the first year following atrial fibrillation diagnosis, 342,005 patients (14.4%) died after a period of 83 (SD 98) days (median 37 [10-129]). The best machine learning model selected was a deep neural network with a C index of 0.785 (95% CI, 0.781-0.789) on the validation set. Compared to clinical risk scores, the selected model was superior to the CHA2DS2-VASc and HAS-BLED risk scores and superior to dedicated scores such as Charlson Comorbidity Index and Hospital Frailty Risk Score to predict death within the year following atrial fibrillation diagnosis (C indexes: 0.597; 0.562; 0.643; 0.626 respectively. P < .0001).

CONCLUSION

Machine learning algorithms predict early death after atrial fibrillation diagnosis and may help clinicians to better risk stratify atrial fibrillation patients at high risk of mortality.

Frailty as a Predictor of Outcomes in Subarachnoid Hemorrhage: A Systematic Review and Meta-Analysis

Frailty is an emerging concept in clinical practice used to predict outcomes and dictate treatment algorithms. Frail patients, especially older adults, are at higher risk for adverse outcomes. Aneurysmal subarachnoid hemorrhage (aSAH) is a neurosurgical emergency associated with high morbidity and mortality rates that have previously been shown to correlate with frailty. However, the relationship between treatment selection and post-treatment outcomes in frail aSAH patients is not established. We conducted a meta-analysis of the relevant literature in accordance with PRISMA guidelines. We searched PubMed, Embase, Web of Science, and Google Scholar using "Subarachnoid hemorrhage AND frailty" and "subarachnoid hemorrhage AND frail" as search terms. Data on cohort age, frailty measurements, clinical grading systems, and post-treatment outcomes were extracted. Of 74 studies identified, four studies were included, with a total of 64,668 patients. Percent frailty was 30.4% under a random-effects model in all aSAH patients (p < 0.001). Overall mortality rate of aSAH patients was 11.7% when using a random-effects model (p < 0.001). There was no significant difference in mortality rate between frail and non-frail aSAH patients, but this analysis only included two studies and should be interpreted cautiously. Age and clinical grading, rather than frailty, independently predicted outcomes and mortality in aSAH patients.

Knowledge domain and emerging trends in multimorbidity and frailty research from 2003 to 2023: a scientometric study using citespace and VOSviewer

BACKGROUND

Multimorbidity and frailty represent emerging global health burdens that have garnered increased attention from researchers over the past two decades. We conducted a scientometric analysis of the scientific literature on the coexistence of multimorbidity and frailty to assess major research domains, trends, and inform future lines of research.

METHODS

We systematically retrieved scientific publications on multimorbidity and frailty from the Web of Science Core Collection, spanning from 2003 to 2023. Scientometric analysis was performed using CiteSpace and VOSviewer, enabling the visualization and evaluation of networks comprising co-citation references, co-occurring keywords, countries, institutions, authors, and journals.

RESULTS

A total of 584 eligible publications were included in the analysis. An exponential rise in research interest in multimorbidity and frailty was observed, with an average annual growth rate of 47.92% in publications between 2003 and 2022. Three major research trends were identified: standardized definition and measurement of multimorbidity and frailty, comprehensive geriatric assessment utilizing multimorbidity and frailty instruments for older adults, and the multifaceted associations between these two conditions. The United States of America, Johns Hopkins University, Fried LP, and the Journal of the American Geriatrics Society were identified as the most influential entities within this field, representing the leading country, institution, author, and journal, respectively.

CONCLUSIONS

Scientometric analysis provides invaluable insights to clinicians and researchers involved in multimorbidity and frailty research by identifying intellectual bases and research trends. While the instruments and assessments of multimorbidity and frailty with scientific validity and reliability are of undeniable importance, further investigations are also warranted to unravel the underlying biological mechanisms of interactions between multimorbidity and frailty, explore the mental health aspects among older individuals with multimorbidity and frailty, and refine strategies to reduce prescriptions in this specific population.

Discordance in Frailty Measures in Old Community Dwelling People with Multimorbidity - A Cross-Sectional Study

Purpose

Assessment of frailty is a key method to identify older people in need of holistic care. However, agreement between different frailty instrument varies. Thus, groups classified as frail by different instruments are not completely overlapping. This study evaluated differences in sociodemographic factors, cognition, functional status, and quality of life between older persons with multimorbidity who were discordantly classified by five different frailty instruments, with focus on the Clinical Frailty Scale (CFS) and Fried's Frailty Phenotype (FP).

Participants and Methods

This was a cross-sectional study in a community-dwelling setting. Inclusion criteria were as follows: ≥75 years old, ≥3 visits to the emergency department the past 18 months, and ≥3 diagnoses according to ICD-10. 450 participants were included. Frailty was assessed by CFS, FP, Short Physical Performance Battery (SPPB), Grip Strength and Walking Speed.

Results

385 participants had data on all frailty instruments. Prevalence of frailty ranged from 34% (CFS) to 75% (SPPB). Nine percent of participants were non-frail by all instruments, 20% were frail by all instruments and 71% had discordant frailty classifications. Those who were frail according to CFS but not by the other instruments had lower cognition and functional status. Those who were frail according to FP but not CFS were, to a larger extent, women, lived alone, had higher cognitive ability and functional status.

Conclusion

The CFS might not identify physically frail women in older community-dwelling people with multimorbidity. They could thus be at risk of not be given the attention their frail condition need.

Technologies for frailty, comorbidity, and multimorbidity in older adults: a systematic review of research designs

BACKGROUND

Frailty, neurodegeneration and geriatric syndromes cause a significant impact at the clinical, social, and economic level, mainly in the context of the aging world. Recently, Information and Communication Technologies (ICTs), virtual reality tools, and machine learning models have been increasingly applied to the care of older patients to improve diagnosis, prognosis, and interventions. However, so far, the methodological limitations of studies in this field have prevented to generalize data to real-word. This review systematically overviews the research designs used by studies applying technologies for the assessment and treatment of aging-related syndromes in older people.

METHODS

Following the PRISMA guidelines, records from PubMed, EMBASE, and Web of Science were systematically screened to select original articles in which interventional or observational designs were used to study technologies' applications in samples of frail, comorbid, or multimorbid patients.

RESULTS

Thirty-four articles met the inclusion criteria. Most of the studies used diagnostic accuracy designs to test assessment procedures or retrospective cohort designs to build predictive models. A minority were randomized or non-randomized interventional studies. Quality evaluation revealed a high risk of bias for observational studies, while a low risk of bias for interventional studies.

CONCLUSIONS

The majority of the reviewed articles use an observational design mainly to study diagnostic procedures and suffer from a high risk of bias. The scarce presence of methodologically robust interventional studies may suggest that the field is in its infancy. Methodological considerations will be presented on how to standardize procedures and research quality in this field.

Defining Multimorbidity in Older Patients Hospitalized with Medical Conditions

BACKGROUND

The term "multimorbidity" identifies high-risk, complex patients and is conventionally defined as ≥2 comorbidities. However, this labels almost all older patients as multimorbid, making this definition less useful for physicians, hospitals, and policymakers.

OBJECTIVE

Develop new medical condition-specific multimorbidity definitions for patients admitted with acute myocardial infarction (AMI), heart failure (HF), and pneumonia patients. We developed three medical condition-specific multimorbidity definitions as the presence of single, double, or triple combinations of comorbidities - called Qualifying Comorbidity Sets (QCSs) - associated with at least doubling the risk of 30-day mortality for AMI and pneumonia, or one-and-a-half times for HF patients, compared to typical patients with these conditions.

DESIGN

Cohort-based matching study PARTICIPANTS: One hundred percent Medicare Fee-for-Service beneficiaries with inpatient admissions between 2016 and 2019 for AMI, HF, and pneumonia.

MAIN MEASURES

Thirty-day all-location mortality KEY RESULTS: We defined multimorbidity as the presence of ≥1 QCS. The new definitions labeled fewer patients as multimorbid with a much higher risk of death compared to the conventional definition (≥2 comorbidities). The proportions of patients labeled as multimorbid using the new definition versus the conventional definition were: for AMI 47% versus 87% (p value<0.0001), HF 53% versus 98% (p value<0.0001), and pneumonia 57% versus 91% (p value<0.0001). Thirty-day mortality was higher among patients with ≥1 QCS compared to ≥2 comorbidities: for AMI 15.0% versus 9.5% (p<0.0001), HF 9.9% versus 7.0% (p <0.0001), and pneumonia 18.4% versus 13.2% (p <0.0001).

CONCLUSION

The presence of ≥2 comorbidities identified almost all patients as multimorbid. In contrast, our new QCS-based definitions selected more specific combinations of comorbidities associated with substantial excess risk in older patients admitted for AMI, HF, and pneumonia. Thus, our new definitions offer a better approach to identifying multimorbid patients, allowing physicians, hospitals, and policymakers to more effectively use such information to consider focused interventions for these vulnerable patients.

Improving Multidisciplinary Team Working to Support Integrated Care for People with Frailty Amidst the COVID-19 Pandemic

Multidisciplinary team (MDT) working is essential to optimise and integrate services for people who are frail. MDTs require collaboration. Many health and social care professionals have not received formal training in collaborative working. This study investigated MDT training designed to help participants deliver integrated care for frail individuals during the Covid-19 pandemic. Researchers utilised a semi-structured analytical framework to support observations of the training sessions and analyse the results of two surveys designed to assess the training process and its impact on participants knowledge and skills. 115 participants from 5 Primary Care Networks in London attended the training. Trainers utilised a video of a patient pathway, encouraged discussion of it, and demonstrated the use of evidence-based tools for patient needs assessment and care planning. Participants were encouraged to critique the patient pathway, reflect on their own experiences of planning and providing patient care. 38% of participants completed a pre-training survey, 47% a post-training survey. Significant improvement in knowledge and skills were reported including understanding roles in contributing to MDT working, confidence to speak in MDT meetings, using a range of evidence-based clinical tools for comprehensive assessment and care planning. Greater levels of autonomy, resilience, and support for MDT working were reported. Training proved effective; it could be scaled up and adopted to other settings.

Immunosenescence, Inflammaging, and Frailty: Role of Myeloid Cells in Age-Related Diseases

The immune system is the central regulator of tissue homeostasis, ensuring tissue regeneration and protection against both pathogens and the neoformation of cancer cells. Its proper functioning requires homeostatic properties, which are maintained by an adequate balance of myeloid and lymphoid responses. Aging progressively undermines this ability and compromises the correct activation of immune responses, as well as the resolution of the inflammatory response. A subclinical syndrome of "homeostatic frailty" appears as a distinctive trait of the elderly, which predisposes to immune debilitation and chronic low-grade inflammation (inflammaging), causing the uncontrolled development of chronic and degenerative diseases. The innate immune compartment, in particular, undergoes to a sequela of age-dependent functional alterations, encompassing steps of myeloid progenitor differentiation and altered responses to endogenous and exogenous threats. Here, we will review the age-dependent evolution of myeloid populations, as well as their impact on frailty and diseases of the elderly.

Bayesian Techniques in Predicting Frailty among Community-Dwelling Older Adults in the Netherlands

Background Frailty is a syndrome that is defined as an accumulation of deficits in physical, psychological, and social domains. On a global scale, there is an urgent need to create frailty-ready healthcare systems due to the healthcare burden that frailty confers on systems and the increased risk of falls, healthcare utilization, disability, and premature mortality. Several studies have been conducted to develop prediction models for predicting frailty. Most studies used logistic regression as a technique to develop a prediction model. One area that has experienced significant growth is the application of Bayesian techniques, partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. Objective We compared ten different Bayesian networks as proposed by ten experts in the field of frail elderly people to predict frailty with a choice from ten dichotomized determinants for frailty. Methods We used the opinion of ten experts who could indicate, using an empty Bayesian network graph, the important predictors for frailty and the interactions between the different predictors. The candidate predictors were age, sex, marital status, ethnicity, education, income, lifestyle, multimorbidity, life events, and home living environment. The ten Bayesian network models were evaluated in terms of their ability to predict frailty. For the evaluation, we used the data of 479 participants that filled in the Tilburg Frailty indicator (TFI) questionnaire for assessing frailty among community-dwelling older people. The data set contained the aforementioned variables and the outcome "frail". The model fit of each model was measured using the Akaike information criterion (AIC) and the predictive performance of the models was measured using the area under the curve (AUC) of the receiver operator characteristic (ROC). The AUCs of the models were validated using bootstrapping with 100 repetitions. The relative importance of the predictors in the models was calculated using the permutation feature importance algorithm (PFI). Results The ten Bayesian networks of the ten experts differed considerably regarding the predictors and the connections between the predictors and the outcome. However, all ten networks had corrected AUCs >0.700. Evaluating the importance of the predictors in each model, "diseases or chronic disorders" was the most important predictor in all models (10 times). The predictors "lifestyle" and "monthly income" were also often present in the models (both 6 times). One or more diseases or chronic disorders, an unhealthy lifestyle, and a monthly income below 1800 euro increased the likelihood of frailty. Conclusions Although the ten experts all made different graphs, the predictive performance was always satisfying (AUCs >0.700). While it is true that the predictor importance varied all the time, the top three of the predictor importance consisted of "diseases or chronic disorders", "lifestyle" and "monthly income". All in all, asking for the opinion of experts in the field of frail elderly to predict frailty with Bayesian networks may be more rewarding than a data-driven forecast with Bayesian networks because they have expert knowledge regarding interactions between the different predictors.

Association between Sense of Loneliness and Quality of Life in Older Adults with Multimorbidity

BACKGROUND

Multimorbidity has been associated with adverse health outcomes, such as reduced physical function, poor quality-of-life (QoL), poor self-rated health.

OBJECTIVE

The association between quality of life, social support, sense of loneliness and sex and age in older adult patients affected by two or more chronic diseases (multimorbidity) was evaluated.

METHODS

Patients n. 162 with multimorbidity and living with family members.

TESTS

MMSE-Mini-Mental-State-Examination; ADL-Activities of Daily Living; Social Schedule: demographic variables; Loneliness Scale -de Jong Gierveld; Quality-of-Life-FACT-G; WHOQOL-BRIEF Social relationships.

STATISTICAL ANALYSIS

Multivariate Regression Analysis.

RESULTS

The patients with three or more diseases have worse dimensions of FACT-G total score (p = 0.029), QoL Physical-well-being (p = 0.003), Social well-being (p = 0.003), Emotional-well-being (p = 0.012), Functional-well-being (p < 0.001), than those with two. Multiple linear regression QoL: FACT_G total score, PWB, SWB, EWB, FWB as dependent variables. In the presence of multimorbidity with an increase in the patient's age FACT-G total score (B = -0.004, p = 0.482), PWB (B = -0.024, p = 0.014), SWB (B = -0.022, p = 0.051), EWB (B = -0.001, p = 0.939), FWB (B = -0.023, p = 0.013) decrease by an average of 0.1, and as the sense of solitude increases FACT-G total score (B = -0.285, p < 0.000), PWB (B = -0.435, p < 0.000), SWB(B = -0.401, p < 0.000), EWB(B = -0.494, p < 0.000), FWB(B = -0.429, p < 0.000) decrease by 0.4.

CONCLUSIONS

A sense of loneliness and advancing age are associated with bad quality-of life in self-sufficient elderly patients with multimorbidity.

IMPLICATIONS FOR PRACTICE

Demonstrating that loneliness, as well as in the presence of interpersonal relations, is predictive of worse quality of life in patients with multimorbidity helps identify people most at risk for common symptoms and lays the groundwork for research concerning both diagnosis and treatment.

Predictors of improvement in urinary incontinence in the postacute setting: A Canadian cohort study

PURPOSE

To determine factors associated with improvement in urinary incontinence (UI) for long-stay postacute, complex continuing care (CCC) patients.

DESIGN

A retrospective cohort investigation of patients in a CCC setting using data obtained from the Canadian Institute for Health Information's Continuing Care Reporting System collected with interRAI Minimum Data Set 2.0.

SETTING AND PARTICIPANTS

Individuals aged 18 years and older, were admitted to CCC hospitals in Ontario, Canada, between 2010 and 2018.

METHODS

Multivariable logistic regression was used to determine the independent effects of predictors on UI improvement, for patients who were somewhat or completely incontinent on admission and therefore had the potential for improvement.

RESULTS

The study cohort consisted of 18 584 patients, 74% (13 779) of which were somewhat or completely incontinent upon admission. Among those patients with potential for improvement, receiving bladder training, starting a new medication 90 days prior (odds ratio, OR: 1.54 [95% confidence interval, CI: 1.36-1.75]), and triggering the interRAI Urinary Incontinence Clinical Assessment Protocol to facilitate improvement (OR: 1.36 [95% CI: 1.08-1.71]) or to prevent decline (OR: 1.32 [95% CI: 1.13-1.53]) were the strongest predictors of improvement. Conversely, being totally dependent on others for transfer (OR: 0.62 [95% CI: 0.42-0.92]), is rarely or never understood (OR: 0.65 [95% CI: 0.50-0.85]), having a major comorbidity count of ≥3 (OR: 0.72 [95% CI: 0.59-0.88]), Parkinson's disease, OR: 0.77 (95% CI: 0.62-0.95), Alzheimer/other dementia, OR: 0.83 (95% CI: 0.74-0.93), and respiratory infections, OR: 0.57 (95% CI: 0.39-0.85) independently predicted less likelihood of improvement in UI.

CONCLUSIONS AND IMPLICATIONS

Findings of this study suggest that improving physical function, including bed mobility, and providing bladder retraining have strong positive impacts on improvement in UI for postacute care patients. Evidence generated from this study provides useful care planning information for care providers in identifying patients and targeting the care that may lead to better success with the management of UI.

Frailty and Associated Factors among the Elderly in Vietnam: A Cross-Sectional Study

BACKGROUND

Frailty syndrome is common among older people and can lead to various adverse consequences such as falls, cognitive decline, disability, dependent living, increased mortality, excessive drug use, and prolonged hospital stays.

OBJECTIVES

This research determined the prevalence of frailty and associated factors among older adults in Vietnam.

METHODS

A cross-sectional study was conducted on 584 older adults across five Ho Chi Minh City wards from November 2020 to January 2021. Based on the modified Fried frailty scale, the participants were divided into three categories: robust, pre-frail, and frail. A chi-square test (or Fisher's test) examined the relationship between frailty categories and other variables. Multivariable logistic regression used variates with a cut-off of p ≤ 0.05 in the univariate analysis.

RESULTS

The prevalence rates of frailty and pre-frailty were 19% and 64%, respectively. The most common frailty component was weak grip strength (63.9%), followed by slowness (36.1%), weight loss (21.6%), low physical activity (19.5%), and exhaustion (18.5%). In addition, the prevalence of frailty was significantly associated with age, BMI levels, living alone, and sarcopenia.

CONCLUSION

The community's prevalence of frailty among older adults is high. Frailty can lead to many adverse consequences for the elderly. As there were some modifiable factors associated with frailty, it should be assessed in older people through community-based healthcare programs for early diagnosis and management.

Malnutrition and Poor Physical Function Are Associated With Higher Comorbidity Index in Hospitalized Older Adults

Background

The Charlson Comorbidity Index (CCI) is the most widely used method to measure comorbidity and predict mortality. There is no evidence whether malnutrition and/or poor physical function are associated with higher CCI in hospitalized patients. Therefore, this study aimed to (i) analyze the association between the CCI with nutritional status and with physical function of hospitalized older adults and (ii) examine the individual and combined associations of nutritional status and physical function of older inpatients with comorbidity risk.

Methods

A total of 597 hospitalized older adults (84.3 ± 6.8 years, 50.3% women) were assessed for CCI, nutritional status (the Mini Nutritional Assessment-Short Form [MNA-SF]), and physical function (handgrip strength and the Short Physical Performance Battery [SPPB]).

Results

Better nutritional status (p < 0.05) and performance with handgrip strength and the SPPB were significantly associated with lower CCI scores among both men (p < 0.005) and women (p < 0.001). Patients with malnutrition or risk of malnutrition (OR: 2.165, 95% CI: 1.408–3.331, p < 0.001) as well as frailty (OR: 3.918, 95% CI: 2.326–6.600, p < 0.001) had significantly increased the risk for being at severe risk of comorbidity. Patients at risk of malnutrition or that are malnourished had higher CCI scores regardless of being fit or unfit according to handgrip strength (p for trend < 0.05), and patients classified as frail had higher CCI despite their nutritional status (p for trend < 0.001).

Conclusions

The current study reinforces the use of the MNA-SF and the SPPB in geriatric hospital patients as they might help to predict poor clinical outcomes and thus indirectly predict post-discharge mortality risk.

Needs of patients with parkinsonism and their caregivers: a protocol for the PRIME-UK cross-sectional study

INTRODUCTION

People with parkinsonism are a highly heterogeneous group and the disease encompasses a spectrum of motor and non-motor symptoms which variably emerge and manifest across the disease course, fluctuate over time and negatively impact quality of life. While parkinsonism is not directly the result of ageing, it is a condition that mostly affects older people, who may also be living with frailty and multimorbidity. This study aims to describe the broad range of health needs for people with parkinsonism and their carers in relation to their symptomatology, disability, disease stage, comorbidities and sociodemographic characteristics.

METHODS AND ANALYSIS

In this single site cross-sectional study, people with parkinsonism will be sent a study information pack for themselves and their primary informal caregiver, if relevant. Data are collected via questionnaire, with additional support, if required, to maximise participation. A specific strategy has been developed to target and proactively recruit patients lacking capacity to consent, including those in residential care settings, with input from a personal consultee prior to completion of a bespoke questionnaire by a representative. Caregivers are also recruited to look at various health outcomes. Results will be displayed as descriptive statistics and regression models will be used to test simple associations and interactions.

ETHICS AND DISSEMINATION

This protocol was approved by the London-Brighton & Sussex Research Ethics Committee (REC reference 20/LO/0890). The results of this protocol will be disseminated through publication in an international peer-reviewed journal; presentation at academic meetings and conferences; and a lay summary uploaded to the PRIME-Parkinson website.

TRIAL REGISTRATION NUMBER

ISRCTN11452969; Pre-results.

Biological Frailty Index in centenarians

This study measured the subclinical frailty of centenarians by looking at the accumulation of their biological abnormalities. For this aim, a biological Frailty Index (FI) was computed in centenarians living in Northern Italy. The median value of the biological FI was 0.33 (interquartile range, IQR 0.28–0.41). The biological FI did not significantly differ between women (0.34, IQR 0.31–0.39) and men (0.32, IQR 0.26–0.43). The biological FI seems to have a narrower distribution compared to clinical FI we previously computed in the same cohort. In conclusion, our study suggests that centenarians benefit from exceptional biological reserves that might be underestimated by clinical appearances.

Association Between Frailty and Inpatient Services Utilization Among Older Adults in Rural China: The Mediating Role of Multimorbidity

Introduction

Developed and developing countries have different health systems and disease patterns. There is little evidence that frailty is related to inpatient services utilization in developing countries. In addition, the underlying mechanism of this relationship also remains unclear. This study aimed to examine the association between frailty and inpatient services utilization, and further explore whether multimorbidity play a mediating role in this association.

Methods

A total of 3,242 rural older adults aged 60 and older were included in the analysis. Frailty was measured by the physical frailty phenotype (PFP). Multimorbidity and inpatient services utilization was measured based on participants' self-report and validated by village doctors. Ordered logistic regression analyses were performed to examine the association between frailty, multimorbidity and inpatient services utilization. Bootstrap analysis was further to explore the mediation effect of multimorbidity on frailty and inpatient services utilization.

Results

The utilization of inpatient services was 20.1% (one: 15.8%, two or more: 4.3%). The prevalence of prefrailty and frailty was 64.7 and 18.1%, respectively. Frail older adults experienced a higher risk of multimorbidity and inpatient services utilization. Multimorbidity partially mediated the association between frailty and inpatient services utilization [95% confidence interval (CI): 0.005-0.016, p < 0.001]. The mediating effect of multimorbidity accounted for 19.0% of the total effect.

Conclusions

Among Chinese rural older adults, frailty is associated with higher inpatient services utilization, and multimorbidity mediates this association. Recommendations are to increase frailty risk screening, chronic disease monitoring, and to do timely interventions.

Implementing care for healthy ageing

The WHO concept of Healthy Ageing (ie, the process of developing and maintaining the functional ability that enables well-being in older age) has initiated a global discussion about the need for shifting paradigms to reorient health and social services towards person-centred and coordinated models of care. In particular, the integration of health and social care services is critical to provide the basis for comprehensive information sharing and service delivery to support the evolution of the older person over time. The capability to monitor and respond to an older person’s changing health and social care needs will enable prompt and personalised health and social care plans to be implemented.

The implementation of an integrated care approach involves all the settings where persons age, but also requires a concerted action among micro (clinical), meso (service delivery) and macro (system) level. The community is of particular relevance given the primary objective of "ageing in place". However, from the perspective of the continuum of care and services acting synergistically, all health and social care settings (including long-term care facilities and hospitals) need to evolve and embrace an integrated way of operating to support functional ability in older people, while maximising resource and information sharing efficiencies.

In this paper, we explain that government actions to promote well-being in older age should be built on a seamless continuum of care starting from the assessment of the older person’s intrinsic capacity and functional ability with the final aim of providing care aligned with the individual’s needs and priorities.

Predictors of drug prescription in nursing home residents: results from the INCUR study

Polypharmacy represents a major clinical and public health issue in older persons. We aimed to measure the prevalence of polypharmacy, and the main predictors of drug prescription in nursing home residents. Post hoc analyses of the "Incidence of pNeumonia and related ConseqUences in nursing home Residents" (INCUR) study were conducted. Polypharmacy was defined as the prescription of 5 or more drugs. A frailty index (FI) was computed according to the model proposed by Rockwood and Mitnitski using 36 health deficits, including diseases, signs, symptoms, and disabilities. Linear regression models were performed to identify the main predictors of the number of prescribed drugs. The INCUR study enrolled 800 patients (mean [SD] age 86.2 [4.1] years, 74.1% women). The mean number of medications prescribed at the baseline was 8.5 (SD 4.1). Prevalence of polypharmacy was found 86.4%. The mean FI was 0.38 (SD 0.10). A fully adjusted linear multivariate regression model found an inverse and independent association between age and number of prescribed drugs (beta - 0.07, 95% CI - 0.13, - 0.02; p = 0.005). Conversely, the FI was independently and positively associated with the number of medications (beta 4.73, 95% CI 1.17, 8.29; p = 0.009). The prevalence of polypharmacy is high among older persons living in nursing home. Age and FI are significantly associated with the number of drugs. The number of prescribed drugs tends to decrease with age, whereas a direct association with frailty is reported.

The state of frailty in research: A mapping review of its clinical applicability to practice

Research on frailty has expanded in the last decade, but direct evidence supporting its implementation in clinical practice may be limited. This mapping review synthesizes the contexts-of-use and overall clinical applicability of recent pre-COVID frailty research. We sampled 476 articles from articles published on frailty in PubMed and EMBASE in 2017-2018, of which 150 articles were fully appraised for the contexts-of-use, definitions, and interventions. A clinical applicability framework was used to classify articles as practice-changing, practice-informing, or not practice-informing. Of the 476 sampled articles, 31% (n = 150) used frailty in functions that could inform a clinical indication: predictor or mediator (26%, n = 125), selection criterion (3%, n = 15), and effect modifier (2%, n = 10). Articles spanned all health disciplines, and cohort studies comprised 91% (n = 137) of studies and trials 9% (n = 13). Thirty-eight frailty definitions using varied cut-offs and a wide range of interventions were identified. Among all articles, 13% (n = 63) of articles were practice-informing, 2% (n = 11) potentially practice-changing, and 0.2% (n = 1) clearly practice-changing. Lack of well-defined intervention and identifiable effect (96%) or originality (83%) were predominant reasons reducing applicability. Only a minority of recent frailty research provides direct evidence of applicability to practice. Future research on frailty should focus on translating frailty, as a risk factor, into a clinical indication and address definition ambiguity.

The effect of frailty on in-hospital and medium-term mortality of patients with COronaVIrus Disease-19: the FRACOVID study

BACKGROUND

Older persons hospitalized for COVID-19 are at highest risk of death. Frailty Assessment can detect heterogeneity in risk among people of the same chronological age. We investigated the association between frailty and in-hospital and medium-term mortality in middleaged and older adults with COVID-19 during the first two pandemic waves.

METHODS

Observational multicenter study. We recorded sociodemographic factors (age, sex), smoking status, date of symptom onset, biological data, need for supplemental oxygen, comorbidities, cognitive and functional status, in-hospital mortality. We calculated a Frailty Index (FI) as the ratio between deficits presented and total deficits considered for each patient (theoretical range 0-1). We also assessed the Clinical Frailty Scale (CFS). Mortality at follow-up was ascertained from a regional registry.

RESULTS

In total, 1344 patients were included; median age 68 years (Q1-Q3, 56-79); 857 (64%) were men. Median CFS score was 3 (Q1-Q3 2-5) and was lower in younger vs older patients. Median FI was 0.06 (Q1-Q3 0.03-0.09) and increased with increasing age. Overall, 244 (18%) patients died in-hospital and 288 (22%) over a median follow-up of 253 days. FI and CFS were significantly associated with risk of death. In two different models using the same covariates, each increment of 0.1 in FI increased the overall hazard of death by 35% (HR= 1.35, 95%CI 1.23-1.48), similar to the hazard for each increment of CFS (HR=1.37, 95%CI 1.25-1.50).

CONCLUSIONS

Frailty, assessed with the FI or CFS, predicts in-hospital and medium-term mortality and may help estimate vulnerability in middle-aged and older COVID-19 patients.

Phenotypic frailty and multimorbidity are independent 18-year mortality risk indicators in older men : The Helsinki Businessmen Study (HBS)

PURPOSE

Multimorbidity, prefrailty, and frailty are frequent in ageing populations, but their independent relationships to long-term prognosis in home-dwelling older people are not well recognised.

METHODS

In the Helsinki Businessmen Study (HBS) men with high socioeconomic status (born 1919-1934, n = 3490) have been followed-up from midlife. In 2000, multimorbidity (≥ 2 conditions), phenotypic prefrailty and frailty were determined in 1365 home-dwelling men with median age of 73 years). Disability was assessed as a possible confounder. 18-year mortality follow-up was established from registers and Cox regression used for analyses.

RESULTS

Of the men, 433 (31.7%) were nonfrail and without multimorbidity at baseline (reference group), 500 (36.6%) and 82 (6.0%) men had prefrailty or frailty, respectively, without multimorbidity, 84 (6.2%) men had multimorbidity only, and 201 (14.7%) and 65 (4.8%) men had prefrailty or frailty together with multimorbidity. Only 30 (2.2%) and 86 (6.3%) showed signs of ADL or mobility disability. In the fully adjusted analyses (including ADL disability, mental and cognitive status) of 18-year mortality, frailty without multimorbidity (hazard ratio 1.62, 95% confidence interval 1.13-2.31) was associated with similar mortality risk than multimorbidity without frailty (1.55, 1.17-2.06). The presence of both frailty and multimorbidity indicated a strong mortality risk (2.93, 2.10-4.07).

CONCLUSION

Although multimorbidity is generally considered a substantial health problem, our long-term observational study emphasises that phenotypic frailty alone, independently of disability, may be associated with a similar risk, and a combination of multimorbidity and frailty is an especially strong predictor of mortality.

A genome-wide association study of the frailty index highlights brain pathways in ageing

Frailty is a common geriatric syndrome and strongly associated with disability, mortality and hospitalization. Frailty is commonly measured using the frailty index (FI), based on the accumulation of a number of health deficits during the life course. The mechanisms underlying FI are multifactorial and not well understood, but a genetic basis has been suggested with heritability estimates between 30 and 45%. Understanding the genetic determinants and biological mechanisms underpinning FI may help to delay or even prevent frailty. We performed a genome-wide association study (GWAS) meta-analysis of a frailty index in European descent UK Biobank participants (n = 164,610, 60-70 years) and Swedish TwinGene participants (n = 10,616, 41-87 years). FI calculation was based on 49 or 44 self-reported items on symptoms, disabilities and diagnosed diseases for UK Biobank and TwinGene, respectively. 14 loci were associated with the FI (p < 5*10-8 ). Many FI-associated loci have established associations with traits such as body mass index, cardiovascular disease, smoking, HLA proteins, depression and neuroticism; however, one appears to be novel. The estimated single nucleotide polymorphism (SNP) heritability of the FI was 11% (0.11, SE 0.005). In enrichment analysis, genes expressed in the frontal cortex and hippocampus were significantly downregulated (adjusted p < 0.05). We also used Mendelian randomization to identify modifiable traits and exposures that may affect frailty risk, with a higher educational attainment genetic risk score being associated with a lower degree of frailty. Risk of frailty is influenced by many genetic factors, including well-known disease risk factors and mental health, with particular emphasis on pathways in the brain.

COVID-19 related mortality in older adults: analysis of the first wave in Colombia and Mexico

OBJECTIVE

The aim of this study is to describe the mortality among older adults in the first wave of COVID-19 in Colombia and Mexico.

METHODS

This is an observational, prospective study on data obtained from open data sets that are publicly available on the websites of the health ministries of the respective countries. COVID-19 cases, age, sex, date to mortality, and mortality itself were analyzed with Kaplan-Meier curves and Cox regressions.

RESULTS

Data on 1 779 877 individuals were analyzed, 58.2% from Mexico, with a higher frequency of men for both countries, and 11.7% were older adults. Survival curves show a continuous increase in mortality for Mexico, with higher rates for older adults, while for Colombia the mortality was observed up to 50 days of the follow-up. Finally, hazard ratios were higher for older adults in both countries. Colombia implemented a rigid curfew for older adults, and the effect on mortality is clear from the survival curves.

CONCLUSIONS

This finding shows the potential benefit that public policies could have on older adults.

Association between frailty index, lung function, and major clinical determinants in chronic obstructive pulmonary disease

BACKGROUND

Airflow limitation alone is unable to capture the complexity of chronic obstructive pulmonary disease (COPD), better explained by comprehensive disease-specific indexes. Frailty is a clinical condition characterized by high vulnerability to internal and external stressors and represents a strong predictor of adverse outcomes.

AIMS

Primary objective was to test the association between indexes of lung function and COPD severity with frailty index (FI), and secondary to evaluate the association between FI and comorbidities, cognitive and physical function, BODE index, and mortality.

METHODS

150 stable COPD outpatients were enrolled and followed up to 4 years. At baseline, participants performed a geriatric multidimensional assessment, pulmonary function tests, arterial blood gas analysis, 6-min walking test, and bioimpedance analysis. BODE and FI were calculated. Spearman's ρ was used to assess correlations. Mortality was assessed using Kaplan-Meier curves.

RESULTS

Participants were followed up for a median of 39 months. Mean age was 73 years and median frailty index 0.15 (IQR 0.11-0.19). FI was higher in frequent exacerbators (≥ 2/year) (mean 0.18 vs 0.15, p 0.01) and dyspnoeic patients (mMRC ≥ 2) (mean 0.21 vs 0.14, p < 0.01) and correlated with lung volumes, expiratory flows, and pressure of arterial oxygen. FI was positively correlated with the number of comorbidities, depressive symptoms, cognitive decline, and BODE index. Mortality was higher in patients with BODE higher than 3 (HR 3.6, 95% CI 1.2-10.9), and not associated with FI.

DISCUSSION

FI positively correlates with all clinical drivers orienting the choice of treatment in COPD.

CONCLUSIONS

FI associates with lung function and COPD severity, but does not associate with mortality.

Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study

BACKGROUND

Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model.

METHODS

In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns.

RESULTS

The prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. "Degenerative/digestive diseases", "metabolic diseases" and "cardiovascular diseases" were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05).

CONCLUSIONS

In management of old patients with multimorbidity, we should prioritize both the "lifestyle change"-centered systematic management strategy and group-customized intervention programs.

COVID-19 lockdown consequences on body mass index and perceived fragility related to physical activity: A worldwide cohort study

Background

This paper is a follow‐up study continuing the COVISTRESS network previous research regarding health‐related determinants.

Objective

The aim was to identify the main consequences of COVID‐19 lockdown on Body MassIndex and Perceived Fragility, related to Physical Activity (PA), for different categories of populations, worldwide.

Design

The study design included an online survey, during the first wave of COVID‐19 lockdown, across different world regions.

Setting and participants

The research was carried out on 10 121 participants from 67 countries. The recruitment of participants was achieved using snowball sampling techniques via social networks, with no exclusion criteria other than social media access.

Main outcome measures

Body MassIndex, Physical Activity, Perceived Fragility and risk of getting infected items were analysed. SPSS software, v20, was used. Significance was set at P < .05.

Results

Body MassIndex significantly increased during lockdown. For youth and young adults (18‐35 years), PA decreased by 31.25%, for adults (36‐65 years) by 26.05% and for the elderly (over 65 years) by 30.27%. There was a high level of Perceived Fragility and risk of getting infected for female participants and the elderly. Correlations between BMI, Perceived Fragility and PA were identified.

Discussion and Conclusions

The research results extend and confirm evidence that the elderly are more likely to be at risk, by experiencing weight gain, physical inactivity and enhanced Perceived Fragility. As a consequence, populations need to counteract the constraints imposed by the lockdown by being physically active.

Marcadores de fragilidade física preditivos de sintomas depressivos em pessoas idosas da atenção primária à saúde

Resumo Objetivo identificar quais os marcadores de fragilidade física predizem os sintomas depressivos (SD) em pessoas idosas assistidas na Atenção Primária à Saúde. Método estudo quantitativo de corte transversal e correlacional desenvolvido em uma Unidade Básica de Saúde em Curitiba, (PR), Brasil, com amostra de 389 pessoas idosas. Coletaram-se os dados de janeiro a outubro de 2019, por meio de questionário sociodemográfico e clínico, escala de depressão (Center for Epidemiological Studies) e testes que compõem o fenótipo da fragilidade física. Para as análises, utilizou-se estatística descritiva, inferencial (qui-quadrado de Pearson), nível de significância de p≤0,05), e regressão logística reportado a estimativa, valor p (teste de Wald). Razão de Prevalência com intervalo de confiança 95%. Resultados das 389 pessoas idosas, 103 (26,5%) apresentaram SD; entre eles 63 (61,2%) eram pré-frágeis, 19 (18,4%) frágeis e 21 (20,4%) não frágeis. Associaram-se aos SD os marcadores fadiga/exaustão (p≤0,001), redução do nível de atividade física (p≤0,001), perda de peso não intencional (p=0,003) e a condição de pré-fragilidade e fragilidade (p≤0,001). O modelo preditivo para os SD incluiu os marcadores fadiga/exaustão (RP: 5,12; IC95%; 3,81-6,87; p<0,0001) e redução do nível de atividade física (RP: 2,16, IC95%; 1,45- 3,22; p<0,0001). Conclusão os marcadores do fenótipo fadiga/exaustão e redução da atividade física são preditores dos SD em pessoas idosas. Esse resultado ressalta a importância e a necessidade da avaliação desses marcadores e da efetividade de ações para o combate ao sedentarismo em pessoas idosas da atenção primária à saúde.

Home care rehabilitation therapy services for individuals with multimorbidity: A rapid review

Multimorbidity refers to the co-occurrence of two or more chronic conditions, where no one disease is considered the central disease. Individuals with multimorbidity experience increased patient health complexity, increased disability and functional decline, and increased health care utilization. Rehabilitation therapists are well positioned to address the complex functional needs that can contribute to disability for people living with multimorbidity; however, it is not well understood how they address these needs within the home care setting. A rapid review was conducted to identify and synthesize the existing literature on home care rehabilitation services for clients with multimorbidity and the effect of those services. Two electronic databases (Medline and CINAHL) were searched. The Journal of Comorbidity was hand-searched for thoroughness because this journal focuses on populations with multiple chronic conditions. This rapid review included observational and experimental studies that focused on rehabilitation therapy interventions embedded within existing home care systems for adults with multimorbidity. Four studies were included in the final review. The results revealed that therapists delivered interventions aimed towards improving functional outcomes related to activities of daily living and instrumental activities of daily living. Physical therapy interventions were the only therapy delivered in three of the four studies included. Furthermore, 50% of these studies explicitly included people with chronic conditions impacting the musculoskeletal system only. This review offers an important perspective on how home care rehabilitation therapy interventions and outcomes are operationalized for individuals with multimorbidity. Despite the varying definitions of multimorbidity, therapeutic intervention supported functional improvements.