Association among mild cognitive impairment, social frailty, and clinical events in elderly patients with cardiovascular disease

A Look at Primary and Secondary Prevention in the Elderly: The Two Sides of the Same Coin

The global population is experiencing an aging trend; however, this increased longevity is not necessarily accompanied by improved health in older age. A significant consequence of this demographic shift is the rising prevalence of multiple chronic illnesses, posing challenges to healthcare systems worldwide. Aging is a major risk factor for multimorbidity, which marks a progressive decline in resilience and a dysregulation of multisystem homeostasis. Cardiovascular risk factors, along with aging and comorbidities, play a critical role in the development of heart disease. Among comorbidities, age itself stands out as one of the most significant risk factors for cardiovascular disease, with its prevalence and incidence notably increasing in the elderly population. However, elderly individuals, especially those who are frail and have multiple comorbidities, are under-represented in primary and secondary prevention trials aimed at addressing traditional cardiovascular risk factors, such as hypercholesterolemia, diabetes mellitus, and hypertension. There are concerns regarding the optimal intensity of treatment, taking into account tolerability and the risk of drug interactions. Additionally, uncertainty persists regarding therapeutic targets across different age groups. This article provides an overview of the relationship between aging and cardiovascular disease, highlighting various cardiovascular prevention issues in the elderly population.

Social frailty as a predictor of all-cause mortality and functional disability: a systematic review and meta-analysis

The association between social frailty and adverse health outcomes, especially mortality and functional disability, which are essential health outcomes, has not been systematically summarized or meta-analyzed. In this study, we conducted a systematic review and meta-analysis of the impact of social frailty on all-cause mortality and functional disability, while addressing the components of social frailty. In this study, social frailty was operationally defined in alignment with the previous literature, as follows: "a state of increased vulnerability to the interactive back-and-forth of the community, including general resources, social resources, social behaviors, and needs." Hazard ratios or odds ratios described in each selected literature were used as the meta-analytic results. Considering the impact of social frailty on all-cause mortality, the hazard ratio was 1.96 (95% CI 1.20-3.19), indicating a significant association between the two but high heterogeneity. The hazard and odds ratios for the impact of social frailty on functional disability were 1.43 (95% CI 1.20-1.69) and 2.06 (95% CI 1.55-2.74), respectively. A significant association was found between social frailty and functional disability; both hazard and odds ratios were found, and low heterogeneity between these articles was observed. These results highlight the importance of assessing social frailty using more standardized methods and examining its effects on various health outcomes.

Cognitive decline assessed using a brief screening test and cardiovascular and non-cardiovascular events in older patients with heart failure

BACKGROUND

Although cognitive decline is recognized as a prognostic factor of heart failure (HF), the association of cognitive decline with specific clinical outcomes in patients with HF remains unclear.

AIM

This study examines the relationship between cognitive decline using a brief test and cardiovascular and non-cardiovascular events in older patients with HF.

METHODS

This study included 146 hospitalised patients with HF (median age, 77 years; male, 56.8%). Cognitive decline was defined as a score of ≤ 9 points on the Rapid Dementia Screening Test at the time of discharge.

RESULTS

Cumulative incidence of cardiovascular events after discharge was twofold higher in patients with cognitive decline (Model 1 adjusted for basic characteristics, hazard ratio (HR) = 2.01, 95% confidence interval (CI): 0.94-4.31; Model 2 adjusted for potential confounders, HR = 2.30, 95% CI: 1.07-4.97). The association between cognitive decline and non-cardiovascular events decreased after adjusting for potential confounders.

CONCLUSION

The results of this study emphasize the clinical utility of cognitive assessment for risk stratification of worsening cardiovascular conditions, including HF.

Prognostic effects of cardiac rehabilitation in heart failure patients classified according to physical frailty: A propensity score-matched analysis of a nationwide prospective cohort study

Background

Research regarding cardiac rehabilitation (CR) in the prognosis of heart failure (HF) patients and frailty remains lacking. Here, the effects of CR on the 2-year prognosis of HF patients were examined according to their frailty status.

Methods

This multicenter prospective cohort study enrolled patients hospitalized for HF. Patients who underwent ≥1 session per 2 weeks of CR within 3 months after discharge were categorized in the CR group. Patients were divided in a non-frailty (≤8 points) and physical frailty group (≥9 points) based on their FLAGSHIP frailty score. The score is based on HF prognosis, with a higher score indicating worsened physical frailty. A propensity score-matched analysis was performed to compare survival rates between the two groups according to their physical frailty status. Endpoints included HF re-hospitalization and all-cause mortality during a 2-year follow-up period.

Results

Of 2697 patients included in the analysis, 285 and 95 matched pairs were distributed in the non-frailty and physical frailty groups, respectively, after propensity-score matching. CR was associated with lower incidence of HF rehospitalization in both non-frailty (hazard ratio 0.65; 95% confidence interval 0.44-0.96; p = 0.032) and physical frailty (0.54; 0.32-0.90; p = 0.019) groups. CR was not associated with all-cause mortality in either group (log-rank test, p > 0.05).

Conclusion

These findings suggest the effects of CR on reduced HF rehospitalization, regardless of physical frailty status.

Construction of a mortality risk prediction model for elderly people at risk of lobectomy for NSCLC

Background

An increasing number of lung cancer patients are opting for lobectomy for oncological treatment. However, due to the unique organismal condition of elderly patients, their short-term postoperative mortality is significantly higher than that of non-elderly patients. Therefore, there is a need to develop a personalised predictive tool to assess the risk of postoperative mortality in elderly patients.

Methods

Information on the diagnosis and survival of 35,411 older patients with confirmed lobectomy NSCLC from 2009 to 2019 was screened from the SEER database. The surgical group was divided into a high-risk mortality population group (≤90 days) and a non-high-risk mortality population group using a 90-day criterion. Survival curves were plotted using the Kaplan-Meier method to compare the differences in overall survival (OS) and lung cancer-specific survival (LCSS) between the two groups. The data set was split into modelling and validation groups in a ratio of 7.5:2.5, and model risk predictors of postoperative death in elderly patients with NSCLC were screened using univariate and multifactorial logistic regression. Columnar plots were constructed for model visualisation, and the area under the subject operating characteristic curve (AUC), DCA decision curve and clinical impact curve were used to assess model predictiveness and clinical utility.

Results

Multi-factor logistic regression results showed that sex, age, race, histology and grade were independent predictors of the risk of postoperative death in elderly patients with NSCLC. The above factors were imported into R software to construct a line graph model for predicting the risk of postoperative death in elderly patients with NSCLC. The AUCs of the modelling and validation groups were 0.711 and 0.713 respectively, indicating that the model performed well in terms of predictive performance. The DCA decision curve and clinical impact curve showed that the model had a high net clinical benefit and was of clinical application.

Conclusion

The construction and validation of a predictive model for death within 90 days of lobectomy in elderly patients with lung cancer will help the clinic to identify high-risk groups and give timely intervention or adjust treatment decisions.

SARC-F predicts poor motor function, quality of life, and prognosis in older patients with cardiovascular disease and cognitive impairment

OBJECTIVES

We investigated whether SARC-F scores were associated with motor function, quality of life (QOL) related to physical function, and prognosis in older patients with cardiovascular disease (CVD) and cognitive impairment.

METHODS

This was a retrospective cross-sectional cohort study. The study population consisted of 408 patients with CVD (≥60 years old) who completed the SARC-F questionnaire and Mini-Cog, a cognitive function test, at discharge. Sarcopenia was defined as a total SARC-F score ≥ 4 points. Patients who were cognitively-preserved (Mini-Cog score ≥ 3 points) were excluded. Patients completed the handgrip strength, leg strength, usual gait speed, 6-minute walking distance, short physical performance battery score, and 36-item Short-Form Health Survey Physical Functioning (SF-36PF) tests before discharge. Associations of SARC-F with physical function, QOL, and prognoses (i.e., composite of all-cause death and emergency CVD rehospitalization and the number of CVD rehospitalizations) were investigated.

RESULTS

Sarcopenia (SARC-F score ≥ 4 points) was associated with poorer motor function test outcomes and SF-36PF scores (all P < 0.001). The correlations remained significant after adjusting for comorbidities (e.g., anemia, prior heart failure, and renal dysfunction). Sarcopenia was also associated with a poorer prognosis (hazard ratio: 1.574; 95 % confidence interval [CI], 1.011-2.445) and an increased risk of CVD rehospitalization (incidence rate ratio: 1.911; 95 % CI, 1.312-2.782) after adjusting for comorbidities.

CONCLUSIONS AND IMPLICATIONS

In older patients with CVD and cognitive impairment, the SARC-F questionnaire may be a simple and inexpensive tool for identifying patients with decreased motor function and a poor prognosis.

The Prevalence of Social Frailty Among Older Adults: A Systematic Review and Meta-Analysis

OBJECTIVE

To report the overall prevalence of social frailty among older people and provide information for policymakers and authorities to use in developing policies and social care.

DESIGN

A systematic review and meta-analysis.

SETTING AND PARTICIPANTS

We searched 4 databases (PubMed, Embase, Web of Science, and Google Scholar) to find articles from inception to July 30, 2022. We included cross-sectional and cohort studies that provided the prevalence of social frailty among adults aged 60 years or older, in any setting.

METHODS

Three researchers independently reviewed the literature and retrieved the data. A risk of bias tool was used to assess each study's quality. A random-effect meta-analysis was performed to pool the data, followed by subgroup analysis, sensitivity analysis, and meta-regression.

RESULTS

From 761 records, we extracted 43 studies with 83,907 participants for meta-analysis. The pooled prevalence of social frailty in hospital settings was 47.3% (95% CI: 32.2%-62.4%); among studies in community settings, the pooled prevalence was 18.8% (95% CI: 14.9%-22.7%; P < .001). The prevalence of social frailty was higher when assessed using the Tilburg Frailty Indicator (32.3%; 95% CI: 23.1%-41.5%) than the Makizako Social Frailty Index (27.7%; 95% CI: 21.6%-33.8%) or Social Frailty Screening Index (13.4%; 95% CI: 8.4%-18.4%). Based on limited community studies in individual countries using various instruments, social frailty was lowest in China (4.9%; 95% CI: 4.2%-5.7%), followed by Spain (11.6%; 95% CI: 9.9%-13.3%), Japan (16.2%; 95% CI: 12.2%-20.3%), Korea (26.6%; 95% CI: 7.1%-46.1%), European urban centers (29.2%; 95% CI: 27.9%-30.5%), and the Netherlands (27.2%; 95% CI: 16.9%-37.5%). No other subgroup analyses showed any statistically significant prevalence difference between groups.

CONCLUSION AND IMPLICATIONS

The prevalence of social frailty among older adults is high. Settings, country, and method for assessing social frailty affected the prevalence. More valid comparisons will await consensus on measurement tools and more research on geographically representative populations. Nevertheless, these results suggest that public health professionals and policymakers should seriously consider social frailty in research and program planning involving older adults.

The prevalence of social frailty among older adults: A systematic review and meta-analysis

Social frailty is a geriatric public health problem that deeply affects healthy aging. Currently, evidence on the prevalence and factors associated with social frailty in older adults remains unclear. Our study aims to estimate the prevalence and related factors of social frailty in older adults. This study retrieved nine electronic databases searched through July 5th, 2022. The prevalence of social frailty was pooled using Stata software. It was found that older adults suffered from a "moderate" level of social frailty. We found a higher prevalence of social frailty in the United Kingdom, Greece, Croatia, The Netherlands, and Spain, in people over 75 years, in hospitals, and during the Coronavirus Disease 2019 (COVID-19). We believed that countries, age, research sites, and the pandemic of COVID-19 were influencing factors of social frailty among older adults. These findings may provide a theoretical basis for the development of ameliorating social frailty among older adults.