Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study

Cognitive frailty: A comprehensive clinical paradigm beyond cognitive decline

Cognitive frailty is an emerging concept in research and clinical practice that incorporates both physical frailty and mild cognitive impairment (MCI) or subjective cognitive decline (SCD). Unlike traditional approaches that separate physical frailty and dementia, cognitive frailty treats these domains as interrelated and coexisting, with significant implications for clinical outcomes and predicting cognitive decline. Despite growing recognition of this interrelationship, a dualistic view of physical and cognitive processes persists. The paradigm of cognitive frailty holds promise as a biomarker- like amyloid plaques or neurofibrillary tangles- but with the advantage of identifying risk at a prefrail stage, before clinical signs of MCI or dementia emerge. This review examines the pathophysiological and clinical dimensions of cognitive frailty and promotes for its integration into routine assessments in memory clinics.

Subtypes of Older Adults Starting Long-Term Care in Japan: Application of Latent Class Analysis

OBJECTIVES

Older adults requiring long-term care (LTC) exhibit heterogeneity in physical and cognitive functions; however, an established classification is lacking. We aimed to identify distinct subgroups of older adults with LTC needs and to examine differences in their prognoses.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Using survey data for care-need certification (linked to LTC and medical claims) in City A, Japan, we identified community-dwelling adults aged ≥65 years who started LTC. Data from City B were used to examine the validity of clustering.

METHODS

We applied latent class analysis to group the participants in City A based on all 74 items [20 on body function/bed mobility, 12 on activities of daily living (ADLs), 6 on instrumental ADLs, 9 on cognitive functions, 15 on behavioral problems, and 12 on medical procedures] from the standardized care-needs certification survey. Then, we examined associations between identified subtypes and 4 outcomes, including death, hospitalization, admission to LTC facilities, and care-need level deterioration, using regression models.

RESULTS

Among 3841 participants in City A (median age: 83 years; 59.3% female), 5 subtypes were identified: (1) mild physical, (2) mild cognitive, (3) moderate physical, (4) moderate multicomponent, and (5) severe multicomponent. The results of clustering were validated in City B. Compared with the mild physical subtype, the severe multicomponent subtype showed the highest risk of death [adjusted hazard ratio (aHR), 2.56; 95% confidence interval (CI), 2.02-3.24] and admission to LTC facilities (aHR, 5.91; 95% CI, 4.57-7.63). The moderate physical subtype showed a higher risk of hospitalization (aHR, 1.32; 95% CI, 1.16-1.49), and the moderate multicomponent subtype was more likely to experience care-need deterioration (adjusted odds ratio, 1.67; 95% CI, 1.26-2.22).

CONCLUSIONS AND IMPLICATIONS

This study identified 5 subtypes of older adults requiring LTC. These findings inform individualized care decisions and tailored planning of medical and LTC services.

A serial mediation model of chronic multimorbidity and frailty in older adults: the role of pain and depressive symptoms

BACKGROUND

Previous studies have shown that chronic multimorbidity is associated with frailty in older adults. However, the mechanisms of this association are unclear. This study aimed to determine the mediating role of pain and depressive symptoms in the relationship between chronic multimorbidity and frailty.

METHODS

We examined the relationship between chronic multimorbidity, pain, depressive symptoms, and frailty in a cross-sectional survey of 501 older adults (48.5% male, median age = 74 years).

RESULTS

There was a positive correlation between chronic multimorbidity and frailty in older adults. In addition, pain and depressive symptoms mediated the relationship between chronic multimorbidity and frailty both independently and serially. The total indirect effect of the three mediation paths was 36%.

CONCLUSION

Active treatment of the primary conditions of older adults, supplemented by attention given to physical and mental health issues such as pain and depressive symptoms, could prevent the development of frailty in older adults.

Association of Alzheimer's Disease and Related Dementias (ADRD) With Days at Home Among Medicare Beneficiaries After a Heart Failure Hospitalization

BACKGROUND

Older adults with concomitant heart failure (HF) and Alzheimer's Disease and Related Dementias (ADRD) are at high risk for adverse outcomes, including health care utilization and mortality. Increasingly, adults with these conditions want to maximize quality of life and days at home (DAH). This study aimed to determine the association between ADRD and DAH following HF hospitalization.

METHODS

This retrospective cohort analysis draws from a 20% random sample from 2017 to 2019 Medicare claims of beneficiaries who survived HF hospitalization. The primary outcome was mean DAH 6 months post-hospitalization. Exposure was defined as the presence of diagnosed ADRD, extracted from the Master Beneficiary Summary Base File Chronic Conditions subfile. Multivariable negative binomial regression was used to examine the adjusted association between ADRD and DAH, with covariates selected in accordance with the Andersen model of health care utilization.

RESULTS

The 74,908 Medicare beneficiaries in the cohort had a mean age of 79.1 years (SD 11); half were men (50.0%) and 82.3% were non-Hispanic White. Overall, 18% (n=14,396) had ADRD. Beneficiaries with concomitant ADRD were older, more likely to be female, and more likely to have dual Medicaid/Medicare eligibility compared with those without ADRD. Although DAH in the 6 months preceding admission was similar, following hospitalization those with concomitant ADRD had less time at home (mean DAH 120.7 [65.9] for those with ADRD versus 136.4 [59.7] for those without ADRD). When adjusting for patient characteristics, hospitalization course, and hospital and geographic-level fixed effects, this difference persisted: patients with HF and ADRD spent an estimated 6% fewer DAH post-hospitalization (incidence rate ratio, 0.94 0.93-0.95). In the 6 months post-hospitalization, 10.2% of patients with HF and ADRD spent ≤7 DAH. The odds of spending ≤7 DAH were 24% higher for patients with ADRD (odds ratio, 1.24 [95% CI, 1.16-1.33]).

CONCLUSIONS

Following HF hospitalization, Medicare beneficiaries with ADRD spent significantly fewer DAH than those without ADRD. Identifying and addressing the unmet needs of this population after hospitalization is crucial.

Cardiometabolic multimorbidity and frailty in middle-aged and older adults: a cross-nationally harmonized study

Background

Cardiometabolic diseases are prevalent among ageing populations and have a close association with frailty. However, the cumulative impact multiple cardiometabolic diseases have on frailty remains underexplored.

Methods

This study used data from four international cohorts - HRS, CHARLS, ELSA and SHARE - to examine the correlation between frailty and cardiometabolic diseases (CMD). The frailty index was used for assessing frailty and statistical analyses were performed as a means of analysing the correlation between the number of cardiometabolic conditions and frailty severity. Linear regression models were employed to evaluate the associations between CMD and frailty severity.

Results

The study found that as the number of cardiometabolic diseases increased, the frailty index rose significantly [one disease, β = 7.80 (95% CI: 7.70 to 7.90) p < 0.05; two diseases, β = 17.92 (95% CI: 17.76 to 18.08) p < 0.05; three diseases, β = 28.79 (95% CI: 28.41 to 29.17) p < 0.05]. Stroke was found to have the most pronounced impact on frailty (β = 12.34 [95%CI 12.20 to 12.48] p < 0.05) and the coexistence of multiple conditions served to amplify the symptoms of frailty.

Conclusion

This study highlights the compounded impact multiple cardiometabolic diseases have on frailty and also emphasizes the necessity for early intervention.

Olfactory Deficits and Mortality in Older Adults

Importance

Olfactory deficits are associated with higher mortality in older adults, but the mechanisms remain unclear. Further understanding this relationship could inform interventions to improve survival and quality of life for those with olfactory deficits.

Objective

To investigate the association of olfactory deficits with all-cause and cause-specific mortality and to explore potential mediating factors.

Design, Setting, and Participants

The Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), is an ongoing population-based, longitudinal cohort study with baseline between 2001 and 2004. Eligible participants were residents of Kungsholmen, Stockholm, Sweden, and aged between 60 and 99 years from March 21, 2001, to August 30, 2004. Twelve-year follow-up was completed in February 2013. Data analysis took place between February 2024 and July 2024.

Main Outcomes and Measures

Olfactory ability was tested with the 16-item Sniffin' Sticks Odor Identification task. Mortality was determined through the Swedish National Cause of Death Register. Cox proportional hazards models examined the associations between olfaction and mortality over 6 years and 12 years. Competing hazard risks regression analyses assessed the olfactory-mortality association for specific death causes. Generalized structural equation models investigated mediators, including incident dementia, baseline chronic diseases, frailty, and malnutrition. The tested hypotheses were formulated after data collection.

Results

Among 2524 participants (baseline mean [SD] age, 71.9 [10.0] years; 1545 [61.2%] female), 445 (17.6%) had died at 6 and 969 (38.4%) at 12 years of follow-up. Each additional incorrect answer on the odor identification test was associated with a 6% increased all-cause mortality risk at 6 years (hazard ratio [HR], 1.06 [95% CI, 1.03-1.08]) and 5% increased risk at 12 years (HR, 1.05 [95% CI, 1.03-1.08]) in multiadjusted models. In cause-specific models, the olfaction-mortality association had the greatest risk in relation to neurodegenerative death causes. Meaningful mediators for death at 6 years included dementia (23% of total association), frailty (11% of total association), and malnutrition (5% of total association). At 12 years, frailty remained a mediator (9% of total association).

Conclusions and Relevance

The results of this cohort study underscore the importance of olfactory function as a mortality risk marker in older adults and highlight the evolving influence of neurodegeneration and frailty on this relationship. Further research is needed to assess the clinical utility of olfactory assessments in identifying individuals at risk of adverse health outcomes.

Exploring physical activity experiences of community-dwelling oldest-old adults with chronic multimorbidity: A qualitative study

AIM

To explore the physical activity experiences of community-dwelling oldest-old adults with chronic multimorbidity.

DESIGN

Descriptive qualitative study.

METHOD

Data collection was conducted through semi-structured interviews with 19 community-dwelling oldest-old adults with chronic multimorbidity. The study was conducted between December 2022 and May 2023. ATLAS.ti software was used for data analysis.

RESULTS

Three main themes with their respective sub-themes and units of meaning were developed from the data analysis: (1) motivational factors for engaging in physical activity; (2) fear of getting hurt during physical activity and (3) confidence in being physically active.

CONCLUSION

Motivation, kinesiophobia and confidence are three core elements that influence the experience of physical activity in oldest-old adults with chronic multimorbidity. Interventions tailored to meet the needs of the oldest-old adults are important for promotion and development of active ageing.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Nurses and other healthcare professionals should design, implement and evaluate interventions that aim to increase oldest-old adults' motivation and confidence, while decreasing their fear to engage in physical activity.

IMPACT

This study provides insights into the way community-dwelling oldest-old adults with chronic multimorbidity experience physical activity in their daily lives. Our findings suggest that motivation, kinesiophobia and confidence are key factors for oldest-old adults to engage in physical activity. These findings could contribute to the design and implementation of interventions that specifically aim at raising the physical activity levels of community-dwelling oldest-old adults with chronic multimorbidity.

REPORTING METHOD

The study findings are reported according to the COREQ guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Association of multimorbidity patterns and order of physical frailty and cognitive impairment occurrence: a prospective cohort study

BACKGROUND

Chronic conditions often co-occur in specific disease patterns. Certain chronic diseases contribute to incident frailty or cognitive impairment (CI), but the associations of multimorbidity patterns and the order of frailty and CI occurrence remain unclear.

OBJECTIVES

To determine multimorbidity patterns amongst older adults and their associations with the order of frailty and CI occurrence.

DESIGN

Prospective cohort study.

METHODS

Using data from National Health and Aging Trends Study, 7522 community-dwelling participants were included and followed up for four years. Latent class analysis was conducted to identify multimorbidity patterns with clinical meaningfulness. Fine and Grey competing risks models were used to examine the associations between multimorbidity patterns and different orders of frailty and CI occurrence (frailty-first, CI-first, frailty-CI co-occurrence).

RESULTS

Four multimorbidity patterns were identified: cardiometabolic, osteoarticular, cancer-dominated and psychiatric/multisystem pattern. Compared to non-multimorbidity, all four multimorbidity patterns were associated with a higher risk of developing frailty-first, but not developing CI-first. Specifically, the psychiatric/multisystem pattern had the highest risk of developing frailty-first ( Sub-distribution hazard ratios [SHR] = 3.74, 95% confidence intervals = 2.96, 4.71), followed by osteoarticular pattern (SHR = 2.53, 95% CI = 1.98, 3.22) and cardiometabolic pattern (SHR =2.41, 95% confidence intervals = 1.96, 2.98). In addition, only participants from psychiatric/multisystem and cardiometabolic pattern showed a higher risk of frailty-CI co-occurrence.

CONCLUSIONS

Our findings highlight the etiological heterogeneity between physical frailty and CI. Clinician should be aware of multimorbidity clusters and thus provide more effective strategies for comorbid older adults to prevent the onset of these two geriatric syndromes.

Exploring patterns of multimorbidity in South Korea using exploratory factor analysis and non negative matrix factorization

The increasing prevalence of multimorbidity and the co-occurrence of multiple chronic diseases presents a measurable challenge to public health, impacting healthcare strategies and planning. This study aimed to explore disease patterns and temporal clustering using data from South Korea's National Health Insurance Service, spanning 2002-2019. The dataset included approximately 1 million individuals, focusing on those with at least two chronic diseases while excluding individuals who died within five years of follow-up. We analyzed 126 non-communicable diseases, considering only those with a prevalence above 1%, and applied a wash-out period to determine incidence. Exploratory factor analysis (EFA) and non-negative matrix factorization (NMF) were used to identify disease clustering over time. Participants were divided into four groups: men and women in their 50 s and 60 s. EFA identified five patterns in men in their 50 s and seven in their 60 s, while four patterns emerged in women in their 50 s and five in their 60 s. NMF identified 10 clusters for men in their 50 s, 15 in their 60 s, and 16 clusters for women in both age groups. Our study confirms established comorbidity patterns and reveals previously unrecognized clusters, providing data-driven insights into multimorbidity mechanisms and supporting evidence-based healthcare strategies.

Associations between multimorbidity and kidney function decline in old age: A population-based cohort study

BACKGROUND

Individual chronic conditions have been linked to kidney function decline; however, the role of multimorbidity (the presence of ≥2 conditions) and multimorbidity patterns remains unclear.

METHODS

A total of 3094 individuals from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) were followed for 15 years. Multimorbidity was operationalized as the number of chronic conditions and multimorbidity patterns identified using latent class analysis (LCA). Joint models and Cox regression models were used to explore the associations between multimorbidity, and subsequent absolute and relative (≥25% decline from baseline) changes, respectively, in the estimated glomerular filtration rate (eGFR) calculated using the creatinine-based Berlin Initiative Study equation.

RESULTS

Mean age of the sample was 73.9, and 87% had multimorbidity. There was an independent dose-response relationship between the number of chronic conditions, and absolute (β [95% confidence interval, CI] = -0.05 [-0.07; -0.03]) and relative (hazard ratio, HR [95% CI] = 1.23 [1.17; 1.29]) declines in eGFR. Five patterns of multimorbidity were identified. The Unspecific, low burden pattern had the lowest morbidity burden and was used as the reference category. The Unspecific, high burden, and Cardiometabolic patterns showed accelerated absolute (β [95% CI] = -0.15 [-0.26; -0.05] and -0.77 [-0.98; -0.55], respectively) and relative (HR [95% CI] = 1.45 [1.09; 1.92] and 3.45 [2.27; 5.23], respectively) declines. Additionally, the Cognitive and Sensory pattern showed accelerated relative decline (HR [95% CI] = 1.53 [1.02; 2.31]). No associations were found for the Psychiatric and Respiratory pattern.

CONCLUSION

Multimorbidity is strongly associated with accelerated kidney function decline in older age. Individuals with cardiometabolic multimorbidity exhibit a particularly increased risk. Increased monitoring and timely interventions may preserve kidney function and reduce cardiovascular risks in individuals presenting with conditions that are characteristic of high-risk multimorbidity patterns.

Prevalence and Associated Factors of Frailty in Patients with Chronic Heart Failure: A Systematic Review and Meta-Analysis

Background

Although numerous studies have investigated the prevalence of chronic heart failure (CHF) and the factors influencing frailty in patients with CHF, the findings remain inconsistent. Therefore, this review aimed to systematically evaluate the prevalence and associated frailty factors in patients with CHF to establish an evidence-based foundation for risk assessment and treatment strategies.

Methods

A comprehensive search was conducted across multiple databases, including EMBASE, the Cochrane Library, PubMed, Web of Science, CINAHL, Chinese Biological Medicine (CBM), CNKI, and Wan Fang up to August 25, 2024. The objective was to identify observational studies that examined factors influencing frailty in CHF patients. The quality of the selected studies was evaluated using appropriate assessment tools, and a meta-analysis was performed to determine the relevant factors associated with frailty in this population.

Results

A total of 23 articles containing 6287 patients were included. The prevalence of frailty in patients with CHF was 39% (95% confidence interval (CI): 0.33-0.45). Factors shown to be positively associated with frailty in CHF patients were older age, cerebrovascular accidents, longer hospital stay, larger left atrial diameter, higher number of comorbidities, poor New York Heart Association (NYHA) functional class, and poor sleep quality. Conversely, higher albumin, hemoglobin, and left ventricular ejection fraction (LVEF) levels were negatively associated with frailty.

Conclusions

The prevalence of frailty in patients with CHF is relatively high and varies according to different assessment tools applied. Thus, establishing specific frailty assessment tools for CHF patients and providing targeted interventions based on important factors are essential for reducing the burden of frailty and improving outcomes.

The PROSPERO registration

CRD42023448771, https://www.crd.york.ac.uk/PROSPERO/view/CRD42023448771.

Comorbidity patterns and the risk of injurious falls in older people with atrial fibrillation: Findings from a Swedish nation-wide population-based study

BACKGROUND

Atrial fibrillation (AF) is associated with an increased fall risk, partly due to AF-related comorbidities. We investigated the impact of different comorbidity patterns on fall risk in older adults with AF.

METHODS

Using the Swedish National Patient Register, we identified 203,042 adults (45 % females) with AF and at least one comorbidity, aged 65 years or older, on 01/01/2017. The primary study outcome was any fall requiring medical attention. Secondary outcomes were falls with fractures, falls with hip fractures, and falls with head trauma. Comorbidity patterns were identified through latent class analysis, and their association with 3-year fall risk was tested through Cox regressions.

RESULTS

The sample mean age was 79.6 (SD: 7.9) years, and the mean number of chronic diseases was 6.6 (SD 3.2). We identified one unspecific (34.2 %) and six specific comorbidity patterns characterized by neuropsychiatric (6.6 %), eye (17.4 %), musculoskeletal (7.2 %), metabolic (15.8 %), cardiovascular (7.4 %), and complex (11.3 %) chronic conditions coexisting with AF. Older adults with AF and complex (HR=1.63, 95 %CI: 1.56-1.70), neuropsychiatric (HR=1.48, 95 %CI: 1.41-1.56), cardiovascular (HR=1.21, 95 %CI: 1.15-1.27), eye (HR=1.16, 95 %CI: 1.12-1.20), and musculoskeletal (HR=1.07, 95 %CI: 1.01-1.13) comorbidity had an increased fall risk compared to those with unspecific comorbidity. The highest risk of falls with fractures or head trauma was found in older adults displaying a complex or neuropsychiatric disease pattern, respectively. Higher estimates emerged in males and those aged <80 years.

CONCLUSIONS

Evaluating comorbidity patterns in older AF patients could help stratify the risk of falls in this population and support targeted preventive interventions.

Development and validation of a frailty risk model for patients with mild cognitive impairment

The study aims to develop and validate an effective model for predicting frailty risk in individuals with mild cognitive impairment (MCI). The cross-sectional analysis employed nationally representative data from CHARLS 2013-2015. The sample was randomly divided into training (70%) and validation sets (30%). The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression model were used to identify independent predictors and establish a nomogram to predict the occurrence of frailty. The receiver operating characteristic (ROC) curve, the calibration curve, and the decision curve analysis (DCA) were used to evaluate the performance of the nomogram. A total of 3,196 MCI patients were analyzed, and 803 (25.1%) exhibited symptoms of frailty. Multivariate logistic regression analysis revealed that age, activities of daily living (ADL) score, depression score, grip strength, cardiovascular disease (CVD), liver disease, pain, hearing, and vision were associated factors for frailty in MCI patients. The nomogram based on these factors achieved AUC values of 0.810 (95% CI 0.780, 0.840) in the training set and 0.791 (95% CI 0.760, 0.820) in the validation set. Calibration curves showed good agreement between the nomogram and the observed values. The Hosmer-Lemeshow test results for the training and validation sets were P = 0.396 and P = 0.518, respectively. The ROC curve and decision curve analysis further validated the robust predictive ability of the nomogram. The application of this model may facilitate early clinical interventions, thereby potentially reducing the incidence of frailty among patients with MCI and significantly enhancing their long-term health outcomes.

Classifying and Characterising Unmet Integrated Care Needs of Older Adults With Multimorbidity: A Latent Profile Analysis

AIMS

To classify the unmet integrated care needs of older adults with multimorbidity and to explore the factors associated with different categories of unmet integrated care needs among the target population.

DESIGN

A cross-sectional survey using the statistical method of latent profile analysis.

METHODS

From July 2022 to March 2023, 397 older adults with multimorbidity, aged 60 years or older, were recruited from one primary healthcare setting and from four secondary and tertiary hospitals to participate in face-to-face questionnaire surveys. The questionnaire used in this study to assess unmet integrated care needs among older adults with multimorbidity was self-designed through a series of steps, including a scoping review, expert consultation and cognitive interviews. Latent profile analysis was applied to uncover distinct profiles of unmet integrated care needs, and multinomial logistic regression was employed to explore whether the profiles were further distinguished by participants' sociodemographic and health-related covariates. The data were analysed using IBM SPSS v.29.0 and Mplus v.8.0.

RESULTS

The optimal solution was a four-profile model, characterised by high unmet integration needs, high unmet system integration needs, low unmet system integration needs and low unmet integration needs, respectively. Multinomial logistic regression results indicated that profile differences were associated with place of residence, number of coresidents and the presence or absence of complex multimorbidity.

CONCLUSION

The integrated care needs of older adults with multimorbidity have not yet been fully met. Classifying and characterising unmet integrated care needs profiles is a crucial step in the rational allocation of integrated care resources.

REPORTING METHOD

This study was reported based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for cross-sectional studies.

PATIENT OR PUBLIC CONTRIBUTION

All participants were older adults with multimorbidity, and they were informed that they could withdraw from the study at any time.

Visual Analysis of Multi-Outcome Causal Graphs

We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in healthcare for understanding multimorbidity and comorbidity. To support the visual analysis, we collaborated with medical experts to devise two comparative visualization techniques at different stages of the analysis process. First, a progressive visualization method is proposed for comparing multiple state-of-the-art causal discovery algorithms. The method can handle mixed-type datasets comprising both continuous and categorical variables and assist in the creation of a fine-tuned causal graph of a single o utcome. Second, a comparative graph layout technique and specialized visual encodings are devised for the quick comparison of multiple causal graphs. In our visual analysis approach, analysts start by building individual causal graphs for each outcome variable, and then, multi-outcome causal graphs are generated and visualized with our comparative technique for analyzing differences and commonalities of these causal graphs. Evaluation includes quantitative measurements on benchmark datasets, a case study with a medical expert, and expert user studies with real-world health research data.

SANTANA Cohort: Study on Frailty in Institutionalised Older Adults and Its Relationship With Gordon's Functional Health Patterns

AIM

This study investigated whether Gordon's Functional Health Patterns (FHPs) can predict frailty in older adults residing in nursing homes over 5 years.

DESIGN

Prospective cohort study with participants from 10 nursing homes across five countries.

METHODS

Researchers assessed 1245 participants at baseline and 903 at follow-up (5 years) using standardised frailty measures and FHP assessments. Statistical analyses explored the relationships between FHPs and frailty.

RESULTS

FHPs, particularly those related to mobility, nutrition and social interaction, significantly predicted lower frailty risk at baseline. Furthermore, FHPs showed an increased ability to predict frailty over time, explaining a substantial portion of frailty variation at both baseline and follow-up. Analyses also revealed differences in how specific FHPs impacted frailty, suggesting the importance of individual functional variations.

CONCLUSION

This study suggests that Gordon's FHPs are a valuable tool for predicting frailty in older adults within institutional settings. Integrating FHPs into clinical practice can promote early frailty detection and intervention. Future research should explore how FHPs change over time and their impact on frailty in broader populations.

REPORTING METHOD

The study followed the CONSORT guideline for cohort studies to enhance the quality and transparency of reporting the results.

PATIENT OR PUBLIC CONTRIBUTION

Not applicable.

Prognostic signature of multimorbidity, geriatric syndromes and resources cluster in older in- and outpatients: a pooled secondary analysis with a 6-month follow-up

OBJECTIVE

The prognosis of older adults is strongly influenced by the relation of multifactorial geriatric syndromes (GS) and their health-maintaining counterparts, geriatric resources (GR). The present analysis aimed to identify clusters of comorbidities, GS and GR, and to measure their multidimensional prognostic signature in older patients admitted to different healthcare settings.

DESIGN

Pooled secondary analysis of three longitudinal interventional studies with the 3- and 6-month follow-up data collection on mortality and rehospitalisation.

SETTING

Inpatients in an internal medicine ward (n=495), inpatients in an ageing medicine ward (n=123) and outpatients from a general practice (n=105).

PARTICIPANTS

A total of 734 patients with multimorbidity who aged over 60 years were recruited between August 2016 and July 2020 (mean age 77.8 years, SD 6.2 and 43% female).

OUTCOME MEASURES

Comprehensive Geriatric Assessment (CGA), including Cumulative Illness Rating Scale (CIRS), 17 GS and 10 GR, and the CGA-based Multidimensional Prognostic Index (MPI) as a measure of multidimensional prognosis and frailty were assessed. Based on a general linear model and a hierarchical clustering method, clusters of comorbidities, GS and GR were obtained.

RESULTS

The study identified five clusters of GR-related GS, namely, psychosocial, iatrogenic, neurovegetative, sensorimotor and fluid dysbalance, along with two clusters related to GR, focusing on independence achievement and requirements- circumstances. Additionally, two clusters were identified pertaining to the CIRS, encompassing sensory-vegetative and heart-kidney morbidity. Patients within the iatrogenic cluster exhibited significantly higher MPI and readmissions during follow-up compared with those outside this cluster (p<0.001). Furthermore, membership in the fluid dysbalance or psychosocial cluster was associated with a significantly increased mortality rate during follow-up (p<0.001).

CONCLUSIONS

A feasible combination of GR and GS in clinical routine enables the identification of clusters with clear prognostic relevance, which may improve prognosis through tailored treatment.

TRIAL REGISTRATION NUMBERS

DRKS00010606/DRKS00013791/DRKS00017094 MPI_InGAH, DRKS00012820 MPI_NoGeP and DRKS00015996 VNKN.

Association between frailty and physical-psychological multimorbidity in middle-aged and elderly Chinese adults: a longitudinal study in Chinese middle-aged and older adults

BACKGROUND

As the population ages, chronic diseases, frailty, and physical-psychological multimorbidity (PP-MM) increase. However, the association between frailty and PP-MM remains unclear. This study aimed to investigate this relationship in middle-aged and elderly Chinese individuals.

METHODS

This study used four waves of data from the Chinese Longitudinal Study of Health and Aging. The main measures included frailty by the frailty index(FI) constructed using 40 indicators. PP-MM was defined as the concurrent presence of two kinds of diseases (physical illness and psychological disorders). The relationship between FI and PP-MM was evaluated using COX risk regression models and restricted cubic spline (RCS) curves and P < 0.05 was considered statistically significant.

RESULTS

This study included 10,707 subjects, and after adjusting for potential confounders, the HR was 3.01 (95% confidence interval (CI) = 2.05-4.23) for pre-frail and 6.11 (95% CI = 3.79-9.84) for frail. COX regression analysis indicated a potential association between FI and PP-MM progression. RCS analysis revealed that the risk of PP-MM prevalence increased faster with an FI between 0.10 and 0.25.

CONCLUSION

Our study suggests that FI is positively associated with the prevalence of PP-MM and that the pre-frail phase may be a better opportunity to implement interventions for PP-MM prevention, with early monitoring of FI to identify patients at high risk for PP-MM and to provide direction and rationale for preventing PP-MM.

Risk factors of fatigue among community-dwelling older adults in Bahir Dar, Northwest Ethiopia: a community-based cross-sectional study

Background

Fatigue is defined as subjective fatigue and a decline in physical and mental activity that does not improve with rest. Fatigue among older adults could lead to future comorbidity, mortality, decreased social interaction, greater strain on families, decreased productivity, and a higher need for hospitalization and rehabilitation. However, no studies have been conducted in Africa, particularly in Ethiopia. Therefore, this study aimed to evaluate the prevalence and factors of fatigue among older adults.

Methods

A community-based cross-sectional study of 605 older adults was carried out using a single-stage cluster sampling technique. The Chalder Fatigue Scale (CFS) was used to assess fatigue, and data were collected through an interview. The collected data were coded, cleaned, and entered into EpiData version 4.6 and exported to SPSS Version 25 for analysis. Bivariate and multivariate logistic regression analyses were performed. Variables in the final multivariate logistic regression model with a 95% confidence interval (CI) and a p-value of 0.05 were considered statistically significant.

Results

The prevalence of fatigue among older adults was 37.9% (95% CI, 34-41.90). Significant risk factors included older age [adjusted odds ratio (AOR) = 6.13, CI = 3.25-11.58], the presence of two or more comorbidities (AOR = 5.68, CI = 2.97-10.83), physical inactivity (AOR = 3.33, CI = 1.56-7.12), poor social support (AOR = 2.83, CI = 1.61-4.96), insomnia (AOR = 5.48, CI = 3.38-8.88), and depression (AOR = 2.65, CI = 1.60-4.36).

Conclusion

The prevalence of fatigue among older adults was noticeable, and it was summarized as a public health issue among older adults in the study area. Our study findings revealed that older age, the presence of comorbidities, physical inactivity, poor social support, insomnia, and depression were all risk factors for fatigue among community-dwelling older adults.

Delirium and frailty in older adults: Clinical overlap and biological underpinnings

Frailty and delirium are two common geriatric syndromes sharing several clinical characteristics, risk factors, and negative outcomes. Understanding their interdependency is crucial to identify shared mechanisms and implement initiatives to reduce the associated burden. This literature review summarizes scientific evidence on the complex interplay between frailty and delirium; clinical, epidemiological, and pathophysiological commonalities; and current knowledge gaps. We conducted a PubMed systematic search in June 2023, which yielded 118 eligible articles out of 991. The synthesis of the results-carried out by content experts-highlights overlapping risk factors, clinical phenotypes, and outcomes and explores the influence of one syndrome on the onset of the other. Common pathophysiological mechanisms identified include inflammation, neurodegeneration, metabolic insufficiency, and vascular burden. The review suggests that frailty is a risk factor for delirium, with some support for delirium associated with accelerated frailty. The proposed unifying framework supports the integration and measurement of both constructs in research and clinical practice, identifying the geroscience approach as a potential avenue to develop strategies for both conditions. In conclusion, we suggest that frailty and delirium might be alternative-sometimes coexisting-manifestations of accelerated biological aging. Clinically, the concepts addressed in this review can help approach older adults with either frailty or delirium from a different perspective. From a research standpoint, longitudinal studies are needed to explore the hypothesis that specific pathways within the biology of aging may underlie the clinical manifestations of frailty and delirium. Such research will pave the way for future understanding of other geriatric syndromes as well.

Effects of multimorbidity and polypharmacy on physical function in community-dwelling older adults: A 3-year prospective cohort study from the SONIC

BACKGROUND

We prospectively examined the effect of baseline multimorbidity and polypharmacy on the physical function of community-dwelling older adults over a three-year period.

METHODS

The analysis included 1,401 older adults (51.5 % women) who participated in both wave 1 and wave 2 (3-year follow-up) of the Septuagenarians, Octogenarians, and Nonagenarians Investigation with Centenarians (SONIC) study. Grip strength and walking speed were binarized into poor/not poor physical function according to the frailty definition. The number of chronic conditions and the number of prescribed medications were categorized into 3 and 4 groups, respectively. Multivariable logistic regression was used to examine associations between the number of chronic conditions, medication use at baseline, and poor physical function over a three-year period.

RESULTS

After adjusting for confounding factors, hyperpolypharmacy (≥ 10 medications) demonstrated associations with weak grip strength (adjusted odds ratio [aOR] = 2.142, 95 % confidence interval [CI] = 1.100-4.171) and slow walking speed (aOR = 1.878, 95 % CI = 1.013-3.483), while co-medication (1-4 medications) was negatively associated with slow walking speed (aOR = 0.688, 95 % CI = 0.480-0.986). There was no significant association between the number of chronic conditions and physical function.

CONCLUSION

The findings suggest that the number of medications can serve as a simple indicator to assess the risk of physical frailty. Given that many older individuals receive multiple medications for extended durations, medical management approaches must consider not only disease-specific treatment outcomes but also prioritize drug therapy while actively avoiding the progression towards frailty and geriatric syndromes.

The relationship between insomnia and multidimensional frailty in community-dwelling older adults: A systematic review

OBJECTIVE

To examine the relationship between insomnia and multidimensional frailty among community-dwelling older adults.

METHOD

We conducted a comprehensive search in the Pubmed, Web of Science, and Embase databases up to May 15, 2024. The included cross-sectional studies were using the Joanna Briggs Institute's Evidence-Based Health Care Center's checklist for analytical cross-sectional studies; the longitudinal study used the Newcastle-Ottawa Scale for risk of bias assessment.

RESULTS

Out of 1571 studies, 14 were selected. The results indicate a positive relationship between insomnia and cognitive frailty, social frailty, and psychological frailty in community-dwelling older adults. However, the relationship between insomnia and total or physical frailty is unclear.

CONCLUSION

This study made an association between insomnia and cognitive frailty, social frailty, and psychological frailty in community-dwelling older adults. Due to the limited quality and quantity of the included studies, more high-quality cohort studies are required to verify the above conclusion.

Unveiling the multi-dimensional frailty network among older cancer survivors in China: A network analysis study

INTRODUCTION

Frailty has a significant impact on the overall quality of life of older cancer survivors, but the relationships among frailty symptoms are not well understood. This study aims to explore the specific associations among multidimensional symptoms of frailty among older cancer survivors by employing network analysis to provide supportive evidence for targeted interventions in the future.

MATERIALS AND METHODS

Data were obtained by cluster sampling from three large Grade-A tertiary hospitals in Shandong Province, China, and collected through face-to-face interviews by trained investigators. We included patients who were diagnosed with a solid malignant tumor at the age of 60 years or older. Frailty indicators were measured by the Groningen Frailty Indicator (GFI) and analyzed primarily through network analysis, including network estimation, centrality, and stability analysis. The relative importance of a node in a network was tested by centrality analyses, and Spearman correlations were applied to estimate the relationships between symptom pairs (symptom score) and symptom clusters (standardized symptom score) in the symptom network. In terms of centrality, the indexes of strength, closeness, and betweenness were adopted to measure the importance of nodes.

RESULTS

Five hundred and eight older cancer survivors were included, with an average age of 68.4 years (standard deviation [SD] = 5.4), and a higher proportion were male (n = 307[60.4%]). The prevalence of frailty among older cancer survivors was 58.9% (n = 299), with a mean GFI score of 4.46 (SD = 2.87). The strongest edge was between "dressing and undressing" and "going to the toilet" (r = 0.58). The nodes with the higher strength centrality were "going to the toilet" (rS=1.09), "walking around outside" (rS=0.97), and "part of social network" (rS=0.96); and the nodes with the higher closeness centrality were "mark physical fitness" (rC=0.005), "calm and relaxed" (rC=0.005), and "nervous or downhearted" (rC=0.005).

DISCUSSION

This study demonstrated that older cancer survivors in China have a high prevalence of frailty, with self-care and social participation-related symptoms playing a key role in the multidimensional network of frailty symptoms. Psychological symptoms can rapidly influence other symptoms within this network. Therefore, prioritizing psychological symptoms in the assessment of older adults with cancer is essential for effective frailty management.

Frailty as an Independent Predictor of Adverse Outcomes in Patients Undergoing Direct Myocardial Revascularization

The aim of this study was to analyze the incidence and anamnestic characteristics of frail patients with stable coronary artery disease (CAD) and to evaluate the role of frailty in the development of complications and adverse outcomes in the perioperative period and early survival period after coronary artery bypass grafting (CABG).

MATERIAL AND METHODS

The study included 387 patients admitted to the clinic for a scheduled primary CABG. A seven-item questionnaire, "PRISMA-7", was used to identify frail elderly patients before the procedure. We divided the study sample into two groups, taking into account the results of the survey: patients without frailty, n0 = 300 (77.5%), and patients with frailty, n1 = 87 (22.5%). The anamnestic and laboratory data, outcome of the surgical intervention, perioperative and early complications, and adverse outcomes were analyzed.

RESULTS

We detected frailty in 22.5% of the patients with CAD before the procedure. According to the anamnestic data and paraclinical and intraoperative findings, the groups of patients with and without frailty were comparable. The differences were revealed in the intraoperative and early postoperative periods of CABG. Thus, postoperative rhythm disturbances (19.5% vs. 10.5%, p = 0.025, V = 0.115, respectively) and transient ischemic attacks/stroke (5.7% vs. 1.3%, p = 0.031, V = 0.122, respectively) occurred significantly more often among the frail patients. There were no significant differences between the groups in the frequency of other intraoperative and early postoperative complications. In the group of frail patients, four fatal outcomes due to early postoperative ischemia were recorded, and among patients without frailty, one fatal outcome was recorded (4.5% vs. 0.3%, p = 0.010, V = 0.156, respectively). At the 1-year follow-up visit, the presence of frailty in history served as a predictor of mortality (11.5% vs. 0.6%, p ˂ 0.001, V = 0.290, respectively).

CONCLUSION

The presence of frailty can be used as an independent predictor of an unfavorable prognosis in patients with CAD, both in the perioperative and early survival period after CABG. It should be taken into account during surgical risk assessment.

Age Distribution and Clinical Results of Critically Ill Patients above 65-Year-Old in an Aging Society: A Retrospective Cohort Study

BACKGROUND

Increasing age has been observed among patients admitted to the intensive care unit (ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade.

METHODS

We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed.

RESULTS

A total of 32,322 patients were enrolled who aged ≥65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged ≥65 years accounted for 35% and of these, the older (O, 65 to 74 years) comprised 19,630 (66.5%), very older (VO, 75 to 84 years) group 8,573 (29.1%), and very very older (VVO, ≥85 years) group 1,300 (4.4%). The mean age of ICU patients over the study period increased (71.9±5.6 years in 2007 vs. 73.2±6.1 years in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased (37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons (39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay (LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups.

CONCLUSION

The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.

Clinical subtypes of older adults starting long-term care in Japan and their association with prognoses: a data-driven cluster analysis

We aimed to identify the clinical subtypes in individuals starting long-term care in Japan and examined their association with prognoses. Using linked medical insurance claims data and survey data for care-need certification in a large city, we identified participants who started long-term care. Grouping them based on 22 diseases recorded in the past 6 months using fuzzy c-means clustering, we examined the longitudinal association between clusters and death or care-need level deterioration within 2 years. We analyzed 4,648 participants (median age 83 [interquartile range 78-88] years, female 60.4%) between October 2014 and March 2019 and categorized them into (i) musculoskeletal and sensory, (ii) cardiac, (iii) neurological, (iv) respiratory and cancer, (v) insulin-dependent diabetes, and (vi) unspecified subtypes. The results of clustering were replicated in another city. Compared with the musculoskeletal and sensory subtype, the adjusted hazard ratio (95% confidence interval) for death was 1.22 (1.05-1.42), 1.81 (1.54-2.13), and 1.21 (1.00-1.46) for the cardiac, respiratory and cancer, and insulin-dependent diabetes subtypes, respectively. The care-need levels more likely worsened in the cardiac, respiratory and cancer, and unspecified subtypes than in the musculoskeletal and sensory subtype. In conclusion, distinct clinical subtypes exist among individuals initiating long-term care.

Association of lifestyles and multimorbidity with mortality among individuals aged 60 years or older: Two prospective cohort studies

Lifestyles are associated with all-cause mortality, yet limited research has explored the association in the elderly population with multimorbidity. We aim to investigate the impact of adopting a healthy lifestyle on reducing the risk of all-cause mortality in older individuals with or without multimorbidity in both China and UK. This prospective study included 29,451 and 173,503 older adults aged 60 and over from Chinese Longitudinal Healthy Longevity Survey (CLHLS) and UK Biobank. Lifestyles and multimorbidity were categorized into three groups, respectively. Cox proportional hazards regression was used to estimate the Hazard Ratios (HRs), 95% confidence intervals (95% CIs), and dose-response for all-cause mortality in relation to lifestyles and multimorbidity, as well as the combination of both factors. During a mean follow-up period of 4.7 years in CLHLS and 12.14 years in UK Biobank, we observed 21,540 and 20,720 deaths, respectively. For participants with two or more conditions, compared to those with an unhealthy lifestyle, adopting a healthy lifestyle was associated with a 27%-41% and 22%-42% reduction in mortality risk in the CLHLS and UK Biobank, respectively; Similarly, for individuals without multimorbidity, this reduction ranged from 18% to 41%. Among participants with multimorbidity, individuals with an unhealthy lifestyle had a higher mortality risk compared to those maintaining a healthy lifestyle, with HRs of 1.15 (95% CI: 1.00, 1.32) and 1.27 (95% CI: 1.16, 1.39) for two conditions, and 1.24 (95% CI: 1.06, 1.45) and 1.73 (95% CI: 1.56, 1.91) for three or more conditions in CLHLS and UK Biobank, respectively. Adherence to a healthy lifestyle can yield comparable mortality benefits for older individuals, regardless of their multimorbidity status. Furthermore, maintaining a healthy lifestyle can alleviate the mortality risks linked to a higher number of diseases.

Physical frailty, genetic predisposition, and incident dementia: a large prospective cohort study

Physical frailty and genetic factors are both risk factors for increased dementia; nevertheless, the joint effect remains unclear. This study aimed to investigated the long-term relationship between physical frailty, genetic risk, and dementia incidence. A total of 274,194 participants from the UK Biobank were included. We applied Cox proportional hazards regression models to estimate the association between physical frailty and genetic and dementia risks. Among the participants (146,574 females [53.45%]; mean age, 57.24 years), 3,353 (1.22%) new-onset dementia events were recorded. Compared to non-frailty, the hazard ratio (HR) for dementia incidence in prefrailty and frailty was 1.396 (95% confidence interval [CI], 1.294-1.506, P < 0.001) and 2.304 (95% CI, 2.030-2.616, P < 0.001), respectively. Compared to non-frailty and low polygenic risk score (PRS), the HR for dementia risk was 3.908 (95% CI, 3.051-5.006, P < 0.001) for frailty and high PRS. Furthermore, among the participants, slow walking speed (HR, 1.817; 95% CI, 1.640-2.014, P < 0.001), low physical activity (HR, 1.719; 95% CI, 1.545-1.912, P < 0.001), exhaustion (HR, 1.670; 95% CI, 1.502-1.856, P < 0.001), low grip strength (HR, 1.606; 95% CI, 1.479-1.744, P < 0.001), and weight loss (HR, 1.464; 95% CI, 1.328-1.615, P < 0.001) were independently associated with dementia risk compared to non-frailty. Particularly, precise modulation for different dementia genetic risk populations can also be identified due to differences in dementia risk resulting from the constitutive pattern of frailty in different genetic risk populations. In conclusion, both physical frailty and high genetic risk are significantly associated with higher dementia risk. Early intervention to modify frailty is beneficial for achieving primary and precise prevention of dementia, especially in those at high genetic risk.

Multimorbidity patterns and health-related quality of life among community-dwelling older adults: evidence from a rural town in Suzhou, China

PURPOSE

The high prevalence of multimorbidity in aging societies has posed tremendous challenges to the healthcare system. The aim of our study was to comprehensively assess the association of multimorbidity patterns and health-related quality of life (HRQOL) among rural Chinese older adults.

METHODS

This was a cross-sectional study. Data from 4,579 community-dwelling older adults aged 60 years and above was collected by the clinical examination and questionnaire survey. Information on 10 chronic conditions was collected and the 3-Level EQ-5D (EQ-5D-3L) was adopted to measure the HRQOL of older adults. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of multimorbidity patterns with specific health dimensions and overall HRQOL.

RESULTS

A total of 2,503 (54.7%) participants suffered from multimorbidity, and they reported lower HRQOL compared to those without multimorbidity. Three kinds of multimorbidity patterns were identified including cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases. The associations between psycho-cognitive diseases/organic diseases and overall HRQOL assessed by EQ-5D-3L index score were found to be significant (β = - 0.097, 95% CI - 0.110, - 0.084; β = - 0.030, 95% CI - 0.038, - 0.021, respectively), and psycho-cognitive diseases affected more health dimensions. The impact of cardiovascular-metabolic diseases on HRQOL was largely non-significant.

CONCLUSION

Multimorbidity was negatively associated with HRQOL among older adults from rural China. The presence of the psycho-cognitive diseases pattern or the organic diseases pattern contributed to worse HRQOL. The remarkable negative impact of psycho-cognitive diseases on HRQOL necessiates more attention and relevant medical assistance to older rural adults.

Safety and efficacy of umbilical cord tissue-derived mesenchymal stem cells in the treatment of patients with aging frailty: a phase I/II randomized, double-blind, placebo-controlled study

BACKGROUND

Mesenchymal stem cells (MSCs) hold a great promise for cell-based therapy in the field of regenerative medicine. In this study, we aimed to evaluate the safety and efficacy of intravenous infusion of human umbilical cord-derived MSCs (HUC-MSCs) in patients with aging frailty.

METHODS

In this randomized, double-blind, placebo-controlled trial, participants diagnosed with aging frailty were randomly assigned to receive intravenous administrations of HUC-MSCs or placebo. All of serious adverse events and AEs were monitored to evaluate the safety of treatment during the 6-month follow-up. The primary efficacy endpoint was alteration of physical component scores (PCS) of SF-36 qualities of life at 6 months. The secondary outcomes including physical performance tests and pro-inflammatory cytokines, were also observed and compared at each follow-up visits. All evaluations were performed at 1 week, 1, 2, 3 and 6 months following the first intravenous infusion of HUC-MSCs.

RESULTS

In the MSCs group, significant improvements in PCS of SF-36 were observed from first post-treatment visit and sustained throughout the follow-up period, with greater changes compared to the placebo group (p = 0.042). EQ-VAS scores of MSCs group improved significantly at 2 month (p = 0.023) and continued until the end of the 6-month visit (p = 0.002) in comparison to the placebo group. The timed up and go (TUG) physical performance test revealed significant group difference and showed continual enhancements over 6 months (p < 0.05). MSC transplantation improved the function of 4-m walking test (4MWT) compared with the placebo group with a decrease of 2.05 s at 6 months of follow-up (p = 0.21). The measurement of grip strength revealed group difference with MSCs group demonstrating better performance, particularly at 6 months (p = 0.002). Inflammatory cytokines (TNF-α, IL-17) exhibited declines in MSCs group at 6 months compared to the placebo group (p = 0.034 and 0.033, respectively). There was no difference of incidence of AEs between the two groups.

CONCLUSION

Intravenous transplantation of HUC-MSCs is a safe and effective therapeutic approach on aging frailty. The positive outcomes observed in improving quality of life, physical performance, and reducing chronic inflammation, suggest that HUC-MSC therapy may be a promising potential treatment option for aging frailty.

TRIAL REGISTRATION

Clinicaltrial.gov; NCT04314011; https://clinicaltrials.gov/ct2/show/NCT04314011 .

The regional disparities in liver disease comorbidity among elderly Chinese based on a health ecological model: the China Health and Retirement Longitudinal Study

PURPOSE

This study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model.

METHOD

Basic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes.

RESULTS

Among the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were "liver-heart-metabolic", "liver-kidney", "liver-lung", and "liver-stomach-arthritic". In the eastern region, important combination patterns included "liver disease-metabolic disease", "liver disease-stomach disease", and "liver disease-arthritis", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included "liver disease-heart disease", "liver disease-metabolic disease", and "liver disease-kidney disease", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were "liver disease-chronic lung disease", "liver disease-stomach disease", "liver disease-heart disease", and "liver disease-arthritis", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities.

CONCLUSION

The comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.

Association of Frailty with Patient-Report Outcomes and Major Clinical Determinants in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

This study aimed to explore the correlation of frailty status with disease characteristics and patient-reported outcomes (PROs) in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and determine the sensitivity and specificity of modified COPD PRO scale (mCOPD-PRO) for detecting frailty.

Patients and Methods

This cross-sectional study surveyed 315 inpatients with AECOPD from a tertiary hospital in China from August 2022 to June 2023. Patient frailty and PROs were assessed using the validated FRAIL scale and mCOPD-PRO, respectively. Spearman's ρ was used to assess the relevance of lung disease indicators commonly used in clinical practice, and ordinal logistic regression analyses were used to identify the variables associated with frailty status. The validity of mCOPD-PRO in discriminating frail or non-frail individuals was determined using the receiver operating characteristic curve.

Results

The participants (N=302, mean age 72.4±9.1 years) were predominantly males (73.2%). Among them, 43 (14.3%) patients were not frail, whereas 123 (40.7%) and 136 (45.0%) patients were pre-frail and frail, respectively. The FRAIL scale was moderately correlated with the mCOPD-PRO scores (Spearman's rank correlation coefficient [Rs]=0.52, P<0.01) for all dimensions (Rs=0.43-0.49, P<0.01). Patients residing in rural areas (odds ratio [OR], 1.67; 95% confidence interval [95% CI], 1.01-2.76) and with higher mCOPD-PRO scores (OR, 4.78; 95% CI, 2.75-8.32) were more likely to be frail. Physically active patients (OR, 0.42; 95% CI, 0.21-0.84) were less likely to be frail. In addition, mCOPD-PRO had good discriminate validity for detecting frailty (area under the curve=0.78), with a sensitivity and specificity of 84.6% and 60.8%, respectively. The optimal probability threshold for mCOPD-PRO was ≥1.52 points.

Conclusion

In patients with AECOPD, frailty is closely related to PROs and disease characteristics. Additionally, the mCOPD-PRO score can distinguish well between frail and non-frail patients. Our findings provide support for interventions targeting frail populations with AECOPD.

Associations of Orthostatic Hypotension and Frailty With Dementia and Mortality in Older Adults: A Population-Based Cohort Study

BACKGROUND

This study aimed to assess the associations of orthostatic hypotension (OH), in the presence or absence of frailty, with dementia and mortality in older adults.

METHODS

We conducted a 15-year population-based cohort study including 2 703 baseline dementia-free individuals from the Swedish National Study on Aging and Care in Kungsholmen. At baseline, OH was defined as a decline in systolic/diastolic blood pressure ≥20/10 mm Hg 1 minute after standing up from a supine position. Frailty status was defined following Fried's frailty phenotype. Dementia was diagnosed following the Diagnostic and Statistical Manual of Mental Disorders-fourth edition criteria. Multistate flexible parametric survival models were used to estimate associations of OH and frailty with dementia and mortality.

RESULTS

Robust people with OH (adjusted hazard ratio [HR] = 2.28; 95% confidence interval [CI] = 1.47-3.54) and frail people without OH (HR = 1.98; 95% CI = 1.40-2.82) or with OH (HR = 2.73; 95% CI = 1.82-4.10) had a higher dementia risk than OH-free and robust people. Moreover, frail people, independently of the presence of OH, had higher mortality rate than OH-free and robust people. In individuals who developed dementia during the follow-up period, neither OH nor frailty was significantly associated with mortality.

CONCLUSIONS

Older adults with OH, whether robust or frail, may have a higher dementia risk than those without OH. Older adults with OH, when having frailty, may have a higher mortality rate than those without OH. The concurrent assessments of OH and frailty may provide prognostic values in terms of dementia and mortality risk in older adults.

Somatic disease burden and depression risk in late life: a community-based study

AIMS

Co-occurring somatic diseases exhibit complex clinical profiles, which can differentially impact the development of late-life depression. Within a community-based cohort, we aimed to explore the association between somatic disease burden, both in terms of the number of diseases and their patterns, and the incidence of depression in older people.

METHODS

We analysed longitudinal data of depression- and dementia-free individuals aged 60+ years from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression diagnoses were clinically ascertained following the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision over a 15-year follow-up. Somatic disease burden was assessed at baseline through a comprehensive list of chronic diseases obtained by combining information from clinical examinations, medication reviews and national registers and operationalized as (i) disease count and (ii) patterns of co-occurring diseases from latent class analysis. The association of somatic disease burden with depression incidence was investigated using Cox models, accounting for sociodemographic, lifestyle and clinical factors.

RESULTS

The analytical sample comprised 2904 people (mean age, 73.2 [standard deviation (SD), 10.5]; female, 63.1%). Over the follow-up (mean length, 9.6 years [SD, 4 years]), 225 depression cases were detected. Each additional disease was associated with the occurrence of any depression in a dose-response manner (hazard ratio [HR], 1.16; 95% confidence interval [CI]: 1.08, 1.24). As for disease patterns, individuals presenting with sensory/anaemia (HR, 1.91; 95% CI: 1.03, 3.53), thyroid/musculoskeletal (HR, 1.90; 95% CI: 1.06, 3.39) and cardiometabolic (HR, 2.77; 95% CI: 1.40, 5.46) patterns exhibited with higher depression hazards, compared to those without 2+ diseases (multimorbidity). In the subsample of multimorbid individuals (85%), only the cardiometabolic pattern remained associated with a higher depression hazard compared to the unspecific pattern (HR, 1.71; 95% CI: 1.02, 2.84).

CONCLUSIONS

Both number and patterns of co-occurring somatic diseases are associated with an increased risk of late-life depression. Mental health should be closely monitored among older adults with high somatic burden, especially if affected by cardiometabolic multimorbidity.

Trajectories of quality of life and cognition in different multimorbidity patterns: Evidence from SHARE

OBJECTIVES

The study aimed to observe the trajectory of quality of life (QoL) and cognition, and to a analyze the bidirectional association between cognition and QoL for diverse multimorbidity patterns.

METHODS

In total, 16,153 older participants age ≥50 years were included from the Survey of Health, Ageing and Retirement in Europe (SHARE). We used latent class analysis (LCA) to identify multimorbidity patterns in the baseline population. We used linear mixed models (LMM) to examine the trajectory of cognition and QoL in different multimorbidity patterns. A cross-lagged model was employed to analyze the bidirectional association between cognition and QoL in diverse multimorbidity patterns.

RESULTS

Latent class analysis identified four multimorbidity patterns: high and low comorbidity burden (HC and LC), cardiometabolic (CA), and osteoarthrosis (OS). The HC group had the poorest cognitive function and QoL (p for trend < 0.001). Delayed and immediate episodic memory in the OS group declined at a highest rate (p for trend < 0.001). Additionally, a bidirectional association between cognition and QoL was observed. The effect of cognitive function on QoL was relatively stronger than the reverse in the CA and LC groups.

CONCLUSIONS

The rate of decline in cognition and QoL over the time differs in diverse multimorbidity patterns, and patients with four or more chronic diseases should be specially considered. Notably, early monitoring of cognitive function and can help break the vicious cycle between cognitive deterioration and poor QoL in patients with OS or CA diseases.

Primary and secondary care service use and costs associated with frailty in an ageing population: longitudinal analysis of an English primary care cohort of adults aged 50 and over, 2006-2017

BACKGROUND

Frailty becomes more prevalent and healthcare needs increase with age. Information on the impact of frailty on population level use of health services and associated costs is needed to plan for ageing populations.

AIM

To describe primary and secondary care service use and associated costs by electronic Frailty Index (eFI) category.

DESIGN AND SETTING

Retrospective cohort using electronic health records. Participants aged ≥50 registered in primary care practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre, 2006-2017.

METHODS

Primary and secondary care use (totals and means) were stratified by eFI category and age group. Standardised 2017 costs were used to calculate primary, secondary and overall costs. Generalised linear models explored associations between frailty, sociodemographic characteristics. Adjusted mean costs and cost ratios were produced.

RESULTS

Individual mean annual use of primary and secondary care services increased with increasing frailty severity. Overall cohort care costs for were highest in mild frailty in all 12 years, followed by moderate and severe, although the proportion of the population with severe frailty can be expected to increase over time. After adjusting for sociodemographic factors, compared to the fit category, individual annual costs doubled in mild frailty, tripled in moderate and quadrupled in severe.

CONCLUSIONS

Increasing levels of frailty are associated with an additional burden of individual service use. However, individuals with mild and moderate frailty contribute to higher overall costs. Earlier intervention may have the most potential to reduce service use and costs at population level.

Characterisation, symptom pattern and symptom clusters from a retrospective cohort of Long COVID patients in primary care in Catalonia

BACKGROUND

Around 10% of people infected by SARS-COV-2 report symptoms that persist longer than 3 months. Little has been reported about sex differences in symptoms and clustering over time of non-hospitalised patients in primary care settings.

METHODS

This is a descriptive study of a cohort of mainly non-hospitalized patients with a persistence of symptoms longer than 3 months from the clinical onset in co-creation with the Long Covid Catalan affected group using an online survey. Recruitment was from March 2020 to June 2021. Exclusion criteria were being admitted to an ICU, < 18 years of age and not living in Catalonia. We focused on 117 symptoms gathered in 18 groups and performed cluster analysis over the first 21 days of infection, at 22-60 days, and ≥ 3 months.

RESULTS

We analysed responses of 905 participants (80.3% women). Median time between symptom onset and the questionnaire response date was 8.7 months. General symptoms (as fatigue) were the most prevalent with no differences by sex, age, or wave although its frequency decreased over time (from 91.8 to 78.3%). Dermatological (52.1% in women, 28.5% in men), olfactory (34.9% women, 20.9% men) and neurocognitive symptoms (70.1% women, 55.8% men) showed the greatest differences by sex. Cluster analysis showed five clusters with a predominance of Taste & smell (24.9%) and Multisystemic clusters (26.5%) at baseline and _Multisystemic (34.59%) and Heterogeneous (24.0%) at ≥3 months. The Multisystemic cluster was more prevalent in men. The Menstrual cluster was the most stable over time, while most transitions occurred from the Heterogeneous cluster to the Multisystemic cluster and from Taste & smell to Heterogeneous.

CONCLUSIONS

General symptoms were the most prevalent in both sexes at three-time cut-off points. Major sex differences were observed in dermatological, olfactory and neurocognitive symptoms. The increase of the Heterogeneous cluster might suggest an adaptation to symptoms or a non-specific evolution of the condition which can hinder its detection at medical appointments. A carefully symptom collection and patients' participation in research may generate useful knowledge about Long Covid presentation in primary care settings.

Association of chronic conditions and physical multimorbidity with new-onset incontinence in a nationwide prospective cohort study of older adults ≥ 50 years in China

BACKGROUND

The relationship between multimorbidity (i.e. ≥ 2 chronic conditions) and incontinence (i.e. urinary and/or faecal incontinence) is underexplored. This study investigated the association between multimorbidity and incident incontinence in Chinese adults aged ≥50 years.

METHODS

Data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study were used. The association between 12 chronic conditions, multimorbidity and new-onset incontinence was analysed using weighted logistic regression models. Mediation analysis was conducted to explore the potential mediators (self-reported health, subjective memory, depressive symptoms, disability, cognitive function, handgrip strength, mobility limitations, medications and frailty status) between multimorbidity and incontinence.

FINDINGS

Among 9,986 individuals aged ≥50 years who were continent at baseline, 5.3% (n = 521) were newly incontinent 4 years later (incident cases). The risk of incident incontinence increased with physical multimorbidity (OR 2.04, 95% CI 1.62-2.57). Compared to no chronic condition, having 1, 2, 3 and ≥ 4 chronic conditions were associated with incident incontinence with OR (95% CI): 1.41 (1.01-1.97), 1.74 (1.24-2.44), 2.82 (1.93-4.12) and 3.99 (2.29-6.95), respectively. The association between multimorbidity and incontinence was mediated by self-reported health (41.2%), medications (26.6%), mobility limitations (20.9%), depressive symptoms (12.8%), disability (11.6%), subjective memory (8.7%) and frailty status (8.3%).

CONCLUSION

This longitudinal study found that physical multimorbidity and specific chronic conditions may increase the risk of new-onset incontinence among Chinese adults aged ≥50 years. Self-reported health, medications and mobility limitations seemed to be important intermediate conditions between multimorbidity and incident incontinence.

Early growth, stress, and socioeconomic factors as predictors of the rate of multimorbidity accumulation across the life course: a longitudinal birth cohort study

BACKGROUND

Early growth, stress, and socioeconomic factors are associated with future risk of individual chronic diseases. It is uncertain whether they also affect the rate of multimorbidity accumulation later in life. This study aimed to explore whether early life factors are associated with the rate at which chronic diseases are accumulated across older age.

METHODS

In this national birth cohort study, we studied people born at Helsinki University Central Hospital, Helsinki, Finland between Jan 1, 1934, and Dec 31, 1944, who attended child welfare clinics in the city, and were living in Finland in 1971. Individuals who had died or emigrated from Finland before 1987 were excluded, alongside participants without any registry data and who died before the end of the registry follow-up on Dec 31, 2017. Early anthropometry, growth, wartime parental separation, and socioeconomic factors were recorded from birth, child welfare clinic, or school health-care records, and Finnish National Archives. International Classification of Diseases codes of diagnoses for chronic diseases were obtained from the Care Register for Health Care starting from 1987 (when participants were aged 42-53 years) until 2017. Linear mixed models were used to study the association between early-life factors and the rate of change in the number of chronic diseases over 10-year periods.

FINDINGS

From Jan 1, 1934, to Dec 31, 2017, 11 689 people (6064 [51·9%] men and 5625 [48·1%] women) were included in the study. Individuals born to mothers younger than 25 years (β 0·09; 95% CI 0·06-0·12), mothers with a BMI of 25-30 kg/m2 (0·08; 0·05-0·10), and mothers with a BMI more than 30 kg/m2 (0·26; 0·21-0·31) in late pregnancy accumulated chronic diseases faster than those born to older mothers (25-30 years) and those with a BMI of less than 25 kg/m2. Individuals with a birthweight less than 2·5 kg (0·17; 0·10-0·25) and those with a rapid growth in height and weight from birth until age 11 years accumulated chronic diseases faster during their life course. Additionally, paternal occupational class (manual workers vs upper-middle class 0·27; 0·23-0·30) and wartime parental separation (0·24; 0·19-0·29 for boys; 0·31; 0·25-0·36 for girls) were associated with a faster rate of chronic disease accumulation.

INTERPRETATION

Our findings suggest that the foundation for accumulating chronic diseases is established early in life. Early interventions might be needed for vulnerable populations, including war evacuee children and children with lower socioeconomic status.

FUNDING

Finska Läkaresällskapet, Liv och Hälsa rf, the Finnish Pediatric Research Foundation, and Folkhälsan Research Center.

TRANSLATIONS

For the Finnish and Swedish translations of the abstract see Supplementary Materials section.

Patterns of multimorbidity in primary care electronic health records: A systematic review

Background

Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data.

Methods

Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. The quality of the included studies was assessed using a modified version of the Newcastle-Ottawa Quality Assessment Scale.

Results

Sixteen studies were included in this systematic review, none of which was of low quality. Most studies were conducted in Spain, and only one study was conducted outside of Europe. The prevalence of multimorbidity (i.e. two or more conditions) ranged from 14.0% to 93.9%. The most common stratification variable in disease clustering models was sex, followed by age and calendar year. Despite significant heterogeneity in clustering methods and disease classification tools, consistent patterns of multimorbidity emerged. Mental health and cardiovascular patterns were identified in all studies, often in combination with diseases of other organ systems (e.g. neurological, endocrine).

Discussion

These findings emphasise the frequent coexistence of physical and mental health conditions in primary care, and provide useful information for the development of targeted preventive and management strategies. Future research should explore mechanisms underlying multimorbidity patterns, prioritise methodological harmonisation to facilitate the comparability of findings, and promote the use of EHR data globally to enhance our understanding of multimorbidity in more diverse populations.

A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods

OBJECTIVES

Multimorbidity, the presence of two or more long-term conditions, is a growing public health concern. Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns.

STUDY DESIGN AND SETTING

We systematically searched PubMed and Web of Science for studies published between July 2017 and July 2023 that used analytical methods to discover multimorbidity patterns.

RESULTS

Out of 31,617 studies returned by the searches, 172 were included. Of these, 111 studies (64%) conducted validation, the number of studies with validation increased from 53.13% (17 out of 32 studies) to 71.25% (57 out of 80 studies) in 2017-2019 to 2022-2023, respectively. Five types of validation were identified: assessing the association of multimorbidity patterns with clinical outcomes (n = 79), stability across subsamples (n = 26), clinical plausibility (n = 22), stability across methods (n = 7) and exploring common determinants (n = 2). Some studies used multiple types of validation.

CONCLUSION

The number of studies conducting a validation of multimorbidity patterns is clearly increasing. The most popular validation approach is assessing the association of multimorbidity patterns with clinical outcomes. Methodological guidance on the validation of multimorbidity patterns is needed.

Hidradenitis suppurativa tarda: defining an understudied elderly population

BACKGROUND

Hidradenitis suppurativa (HS) is a chronic, devastating, multifactorial skin disease. Patients generally develop HS after puberty and the prevalence of the disease is assumed to decrease with higher age. Data outside the usual age range are limited, especially for elderly patients.

OBJECTIVES

To investigate the prevalence, clinical characteristics and associated comorbidities among the elderly HS population.

METHODS

Data were collected through a population-wide survey-based study within the Lifelines Cohort Study in the Netherlands. The clinical characteristics of elderly patients with HS (≥ 60 years) were compared with an adult population (< 60 years) with HS. The comorbidities in elderly patients with HS were compared with those of a non-HS sex- and age-matched elderly population in a 1 : 4 ratio. HS in the elderly was defined as active HS in patients aged 60 years and older. Within the HS elderly group, two subgroups were defined, late-onset HS (HS developed after 60 years of age) and persistent HS (HS developed from a younger age but continuing after 60 years of age).

RESULTS

Within the Lifelines cohort 209 elderly patients with HS were identified as well as an adult (< 60 years) group with HS (n = 793) and a non-HS sex- and age-matched control elderly group (n = 810). The prevalence of HS among the elderly bootstrap analysis population was 0.8% [95% confidence interval (CI) 0.4-1.2]. A significantly higher age of HS symptom onset was found compared with the adult HS group: respectively, 40 vs. 23 years (odds ratio 1.056, 95% CI 1.05-1.07). Among the elderly HS cohort (in the Discussion, the HS tarda cohort) a female : male ratio of 1.7 : 1.0 and a higher family history for HS were found. Moreover, elderly patients with HS had a significantly higher risk of having HS-associated comorbidities compared with the sex- and age-matched controls.

CONCLUSIONS

The prevalence of HS in the elderly is not rare. Among the elderly a shift from female predominance towards a lower female : male ratio in HS is observed. In addition, HS in the elderly showed significant variation in age of onset and involved body areas. Moreover, elderly patients with HS were more susceptible to multimorbidity. Finally, we propose defining HS in the elderly as 'HS tarda' and subdividing it as late-onset and persistent HS tarda.

Multimorbidity patterns in older persons and their association with self-reported quality of life and limitations in activities of daily living

BACKGROUND

As populations age, multimorbidity (the presence of two or more chronic morbidities) is increasingly more common. These evolving demographics demand further research into the identification of morbidity patterns in different settings as well as the longitudinal effects of these patterns.

METHODS

Prospectively collected data on 12,755 older persons aged 65+ years were derived from The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS, www.topics-mds.eu). Latent class analyses were performed to identify unobserved relationship patterns between morbidities in older persons. Using linear mixed models, the average difference in health-related quality of life (EQ-5D) and general quality of life scores (Cantril's Self Anchoring Ladder) as well as limitations in Activities of Daily Living and Instrumental Activities of Daily Living (ADL/IADL) were examined over a 12-month period.

RESULTS

Five multimorbidity patterns were identified: sensory (n = 3882), cardio-metabolic (n = 2627), mental health (n = 920), osteo-articular (n = 4486), and system decline (n = 840). Relative to older persons in the sensory group, multimorbidity patterns did not have a strong effect on health-related quality of life, general quality of life or ADL/IADLs over a one-year period.

CONCLUSIONS

The observed multimorbidity patterns are similar to others based on different methodologies and study populations. When examining the effect of such patterns on quality of life, the EQ-5D and Cantril's Ladder may be insufficient outcome measures. Further investigations into the prognostic value of morbidity patterns would be of benefit.

Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain

Multimorbidity -understood as the occurrence of chronic diseases together- represents a major challenge for healthcare systems due to its impact on disability, quality of life, increased use of services and mortality. However, despite the global need to address this health problem, evidence is still needed to advance our understanding of its clinical and social implications. Our study aims to characterise multimorbidity patterns in a dataset of 1,375,068 patients residing in southern Spain. Combining LCA techniques and geographic information, together with service use, mortality, and socioeconomic data, 25 chronicity profiles were identified and subsequently characterised by sex and age. The present study has led us to several findings that take a step forward in this field of knowledge. Specifically, we contribute to the identification of an extensive range of at-risk groups. Moreover, our study reveals that the complexity of multimorbidity patterns escalates at a faster rate and is associated with a poorer prognosis in local areas characterised by lower socioeconomic status. These results emphasize the persistence of social inequalities in multimorbidity, highlighting the need for targeted interventions to mitigate the impact on patients' quality of life, healthcare utilisation, and mortality rates.

Causal association between air pollution and frailty: a Mendelian randomization study

Backgrounds

Frailty is a significant problem for older persons since it is linked to a number of unfavorable consequences. According to observational researches, air pollution may raise the risk of frailty. We investigated the causal association between frailty and air pollution (including PM2.5, PM2.5-10, PM10, nitrogen dioxide, and nitrogen oxides) using Mendelian randomization approach.

Methods

We conducted MR analysis using extensive publically accessible GWAS (genome-wide association studies) summary data. The inverse variance weighted (IVW) method was employed as the primary analysis method. The weighted median model, MR-Egger, simple model, and weighted model approaches were chosen for quality control. The Cochran's Q test was utilized to evaluate heterogeneity. Pleiotropy is found using the MR-Egger regression test. The MR-PRESSO method was used to recognize outliers. The leave-one-out strategy was used to conduct the sensitivity analysis.

Results

MR results suggested that PM2.5 was statistically significantly associated with frailty [odds ratio (OR) = 1.33; 95%confidence interval (CI) = 1.12-1.58, p = 0.001] in IVW method. We observed no statistical association between PM2.5-10(OR = 1.00, 95% CI = 0.79-1.28, p = 0.979), PM10(OR = 0.91, 95% CI = 0.75-1.11, p = 0.364), nitrogen dioxide (OR = 0.98, 95% CI = 0.85-1.12, p = 0.730), nitrogen oxides (OR = 1.15, 95% CI = 0.98-1.36, p = 0.086) and frailty. There was no pleiotropy in the results. The sensitivity analysis based on the leave-one-out method showed that the individual single nucleotide polymorphisms (SNPs) did not affect the robustness of the results.

Conclusion

The current MR investigation shows a causal association between PM2.5 and frailty. Frailty's detrimental progression may be slowed down with the help of air pollution prevention and control.

Association of multimorbidity patterns with motoric cognitive risk syndrome among older adults: Evidence from a China longitudinal study

OBJECTIVES

Motoric cognitive risk syndrome (MCR), a pre-dementia syndrome, is characterized by slow gait and subjective cognitive complaints among older adults. This study assessed the relationship between multimorbidity, its patterns, and MCR.

METHODS

Data for this study were obtained from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study. Participants who were aged 60 years and older and had complete data at baseline as well as complete data about MCR at follow-up were selected. Patients without MCR at baseline were selected for further analyses. Longitudinal associations between multimorbidity, its patterns, and MCR were examined using a Cox proportional hazards model. Multimorbidity patterns were classified using latent class analysis.

RESULTS

A total of 4923 respondents were included at baseline, 43.47% of whom had multimorbidity. Additionally, the prevalence of MCR at baseline was 12.61%. After adjusting for covariates, multimorbidity was positively associated with MCR (hazard ratio [HR] = 1.33, 95% confidence interval [CI] = 1.06-1.68). A higher number of multimorbidity was also significantly associated with an increased risk of developing MCR (HR = 1.10, 95% CI = 1.02-1.19). Three multimorbidity patterns were selected: relatively healthy pattern, respiratory pattern, and cardiovascular pattern. Older adults with the cardiovascular pattern were 1.57 times more likely to develop MCR than those with the relatively healthy pattern (HR = 1.57, 95% CI = 1.16-2.13). There was no significant difference between the relatively healthy pattern and the respiratory pattern (HR = 1.31, 95% CI = 0.91-1.92).

CONCLUSIONS

MCR is highly prevalent among older Chinese adults. MCR may be exacerbated by multimorbidity. For older adults with multimorbidity (especially cardiovascular multimorbidity), attention should be paid to MCR to achieve early detection, diagnosis, and treatment.

Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

Multimorbidity patterns in the German general population aged 40 years and over

AIM

The aim of this study was to identify and describe multimorbidity patterns among middle-aged and older community-dwelling individuals in Germany. Moreover, we aimed to determine potential gender differences in multimorbidity patterns.

METHODS

We analysed data from the most recent (sixth) wave (2017) of the large nationally representative German Ageing Survey (DEAS). Altogether n = 6,554 individuals participated, mean age was 62.0 (ranging from 43 to 92 years). Latent Class Analysis was performed to identify multimorbidity patterns, based on 13 chronic conditions and diseases. Multimorbidity was defined as the presence of at least two chronic conditions.

RESULTS

Altogether, 53.3% of individuals were multimorbid. We identified and clinically described five multimorbidity patterns: the relatively healthy class (45.1%), the high morbidity class (10.8%), the arthrosis/inflammatory/mental illnesses class (20.6%), the hypertension-metabolic illness class (21.7%), and the cardiovascular/cancer class (1.7%). Our analysis revealed that women compared to men have higher relative risk (IRR = 1.61, 95% CI 1.25-2.06) of being in the arthrosis/inflammatory/mental illnesses class, compared to the relatively healthy class. Furthermore, we found that, depending on which multimorbidity pattern individuals belong to, they differ greatly in terms of socio-demographic factors, health behaviour, and lifestyle factors.

CONCLUSIONS

We showed that the many chronic diseases cluster in a non-random way. Five clinically meaningful multimorbidity patterns were identified. Gender differences were apparent only in one class, namely in the arthrosis/inflammatory/mental illnesses class.

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.

Anemia and frailty in the aging population: implications of dietary fiber intake (findings of the US NHANES from 2007-2018)

BACKGROUND

Frailty has long been seen as an indicator of reduced physical functions in the elderly, which may be caused by a variety of chronic illnesses or cancerous tumors. Dietary fiber was connected with anemia and frailty, whereas it was uncertain if dietary fiber consumption modifies the impact of anemia on frailty in elderly adults.

METHODS

We performed a secondary analysis using older adults aged 60 years and over from the National Health and Nutrition Examination Survey (NHANES) 2007-2018 cycles. Dietary fiber intake was estimated using two 24-h dietary recalls. Participants were dichotomized as frail or non-frail based on a modified Fried physical frailty phenotype from previous NHANES studies. The weighted logistic regression was used to estimate the odds ratio (OR) and confidence interval (CI) for the associations between hemoglobin levels and frailty at high- and low-dietary fiber intake levels.

RESULTS

A total of 9644 older adults were included in this study, and the weighted sample was 56,403,031, of whom 3,569,186 (6.3%) were deemed to be frail, and the remainder were deemed to be non-frail. Among the low dietary fiber intake group, higher hemoglobin was significantly associated with a lower risk of frailty (OR = 0.79, 95% CI: 0.71-0.87), and anemia was associated with an almost threefold elevated risk of frailty (OR = 3.24, 95% CI:1.98-5.29) in the fully adjusted model. However, this phenomenon was not observed in groups with high dietary fiber intake. In addition, L-shaped dose response relationship was found in the high dietary fiber intake group (P overall association < 0.001; P non-linear association = 0.076). Whereas the dose response relationship was not significant in the high dietary fiber intake group (P overall association 0.752; P non-linear association = 0.734).

CONCLUSIONS

Frailty was positively associated with the severity of anemia in older adults with low, but not high, dietary fiber intake. Adequate fiber intake may be an innovative dietary strategy to reduce frailty in older adults.