Prevalence and prognostic impact of cognitive frailty in elderly patients with heart failure: sub-analysis of FRAGILE-HF

A systematic review and meta-analysis of frailty in patients with heart failure

OBJECTIVE

To systematically evaluate the effect of frailty on the prognosis of patients with heart failure.

METHODS

Computer searches were conducted on PubMed, Embase, The Cochrane Library, Web of Science, CNKI, Wanfang Data Knowledge Service platform, Weipu full-text database of Chinese scientific and technological journals, and Chinese biomedical literature database from August 12, 2022. After literature screening was completed by two researchers, the data extraction (such as study type, sample size, age of included patients, New York Heart Association (NYHA) Functional Classification, frailty assessment tool, frailty positive rate, outcome indicators, etc.) was performed and the risk of bias in the included studies was assessed. Meta-analysis was performed using Revman 5.4 and Stata 14.0 software.

RESULTS

A total of 32 studies were included, including 406,269 patients with heart failure. All included studies were rated high overall quality. The results of meta-analysis showed: Frailty increases the risk of all-cause death in patients with heart failure (hazard ratio [HR] = 1.73, 95% confidence interval [CI]: 1.50 - 2.00, p < 0.001), unplanned readmission (HR = 1.96, 95% CI: 1.21 - 3.17, p = 0.006), and joint endpoint risk (HR = 1.66, 95% CI: 1.48 - 1.86, p < 0.001).

CONCLUSION

Current evidence suggests that frailty increases the risk of all-cause death, unplanned readmission, and joint endpoints in patients with heart failure.

Associating factors of cognitive frailty among older people with chronic heart failure: Based on LASSO-logistic regression

AIM

To analyse factors associated with cognitive frailty among older chronic heart failure patients in China.

DESIGN

A cross-sectional design.

METHODS

Between August 2021 and November 2022, a total of 421 chronic heart failure patients (age ≥60 years) were randomly selected from the cardiology department of the affiliated hospital of Zunyi Medical University. The FRAIL scale, Mini-Mental State Examination, 15-item Geriatric Depression Scale, Social Support Rating Scale, Short-form Mini Nutritional Assessment and Pittsburgh Sleep Quality Index were utilized for measurement and evaluation. The demographic and clinical characteristics of patients were collected. To select initial variables, the Least Absolute Shrinkage Selection Operator was applied, and then logistic regression analysis was used to confirm associating factors.

RESULTS

Among 421 elderly people with chronic heart failure, 83 cases (19.7%) showed cognitive frailty. Of 31 variables, seven were selected by Least Absolute Shrinkage Selection Operator regression. Finally, multivariate logistic regression revealed that the age, monthly salary, drinking, NYHA classification, length of hospital stay, depression and malnutrition risk/malnutrition were independently associated with cognitive frailty.

CONCLUSION

The high proportion of cognitive frailty in older people with chronic heart failure should be concerned. Additionally, in the setting of cognitive frailty, efforts to diagnose it and develop interventions to prevent or reverse cognitive frailty status among older chronic heart failure patients are necessary.

IMPACT

The findings of our study highlight the necessity to evaluate cognitive frailty in older people with chronic heart failure and provide a new perspective and scientific basis for medical staff to develop individualized and specific interventions to prevent or reverse cognitive frailty status.

REPORTING METHOD

This study has been reported in compliance with STROBE reporting guidelines for cross-sectional studies.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Development and validation of a risk scoring tool for predicting incident reversible cognitive frailty among community-dwelling older adults: A prospective cohort study

AIM

Reversible cognitive frailty (RCF) is an ideal target to prevent asymptomatic cognitive impairment and dependency. This study aimed to develop and validate prediction models for incident RCF.

METHODS

A total of 1230 older adults aged ≥60 years from China Health and Retirement Longitudinal Study 2011-2013 survey were included as the training set. The modified Poisson regression and three machine learning algorithms including eXtreme Gradient Boosting, support vector machine and random forest were used to develop prediction models. All models were evaluated internally with fivefold cross-validation, and evaluated externally using a temporal validation method through the China Health and Retirement Longitudinal Study 2013-2015 survey.

RESULTS

The incidence of RCF was 27.4% in the training set and 27.5% in the external validation set. A total of 13 important predictors were selected to develop the model, including age, education, contact with their children, medical insurance, vision impairment, heart diseases, medication types, self-rated health, pain locations, loneliness, self-medication, night-time sleep and having running water. All models showed acceptable or approximately acceptable discrimination (AUC 0.683-0.809) for the training set, but fair discrimination (AUC 0.568-0.666) for the internal and external validation. For calibration, only modified Poisson regression and eXtreme Gradient Boosting were acceptable in the training set. All models had acceptable overall prediction performance and clinical usefulness. Older adults were divided into three groups by the risk scoring tool constructed based on modified Poisson regression: low risk (≤24), median risk (24-29) and high risk (>29).

CONCLUSIONS

This risk tool could assist healthcare providers to predict incident RCF among older adults in the next 2 years, facilitating early identification of a high-risk population of RCF. Geriatr Gerontol Int 2024; ••: ••-••.

Mapping cognitive function screening instruments for patients with heart failure: A scoping review

Background

Patients with heart failure (HF) often experience cognitive impairment, which negatively affects their quality of life. An effective screening tool is essential for nurses and healthcare professionals to assess cognitive function as part of HF management. Although many instruments exist, none are specifically designed for patients with HF.

Objective

This study aimed to map the instruments for screening cognitive function in patients with HF.

Design

A scoping review.

Data Sources

Articles published between 2019 and 2023 were searched in PubMed, ScienceDirect, and Google Scholar, with the last search conducted on 27 January 2024.

Review Methods

The review followed the scoping review framework by Arksey and O'Malley and adhered to PRISMA guidelines for scoping reviews.

Results

Of the 21 articles meeting inclusion criteria, six cognitive function screening instruments were used across various cognitive domains, effectively identifying cognitive impairment in both inpatient and outpatient HF settings. The Montreal Cognitive Assessment (MoCA) was the most frequently used tool, covering a broad range of cognitive domains. MoCA showed high efficacy with a kappa coefficient of 0.82, Cronbach's alpha reliability of 0.75, sensitivity of 90%, and specificity of 87%.

Conclusion

Instruments like MoCA, Mini-Cog, and TICS-m show promise for assessing cognitive function in patients with HF, each with specific strengths and limitations. MoCA is notable for its comprehensive coverage despite being time-consuming and having language barriers. Further research is needed to revalidate and improve the existing instruments. It is crucial for nurses and healthcare professionals to integrate these tools into regular patient management, highlighting the need for continued research in their application.

Development and validation of a nomogram for predicting cognitive frailty in patients on maintenance haemodialysis

AIMS

This study aimed to construct a nomogram for predicting the risk of cognitive frailty in patients on maintenance haemodialysis.

DESIGN

An explorative cross-sectional design was adopted.

METHODS

From April 2022 to July 2022, 496 participants were recruited from five haemodialysis centres in Qingdao, Shandong Province, China. Participants with cognitive frailty were screened by Frailty Phenotype scale and Mini-Mental State Examination. Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression were utilized to determine predictors. The predictive performance of the nomogram was validated by calibration and discrimination. Decision curve analysis was used to assess clinical utility. Internal validation was implemented using 1000 bootstrap samples to mitigate overfitting.

RESULTS

The prevalence of cognitive frailty was 17.5% (n = 87). Six risk predictors, namely health empowerment, alexithymia, age, educational level, marital status and dialysis vintage, were screened and used to develop a nomogram model. The nomogram had satisfactory discrimination and calibration, and decision curve analysis revealed considerable clinical utility.

CONCLUSIONS

A nomogram incorporated with the six risk predictors was developed, and it exhibited excellent prediction performance. The nomogram may strengthen the effective screening of patients at high risk of cognitive frailty.

IMPACT

This study established a tool for healthcare staff to predict cognitive frailty probability and identify risk factors in patients on maintenance haemodialysis. The nomogram can meet the needs of personalized care and precision medicine simultaneously.

PATIENT OR PUBLIC CONTRIBUTION

Data were collected from patients on maintenance haemodialysis by using questionnaire survey.

REPORTING METHOD

STROBE checklist was used.

The clinical relevance of mild cognitive impairment in acute heart failure: A comparison with cognitive impairment

BACKGROUND

Although mild cognitive impairment (MCI) has received much attention as a precursor of dementia, its prognostic role has not been fully clarified in patients with heart failure (HF).

METHODS AND RESULTS

We studied 274 patients admitted for acute decompensated HF. Cognitive function was evaluated using Mini Mental State Examination (MMSE). According to the previous definition, MMSE of 0-23, 24-27, and 28-30 were classified as CI (n = 132), MCI (n = 81), and normal cognitive function (n = 61). The primary endpoint was cardiac events, defined as the composite of unplanned HF hospitalization and cardiovascular mortality. During a mean follow-up period of 4.9 ± 3.1 years, 145 patients experienced cardiac events. Multivariable logistic regression analysis showed that hypertension (p = 0.043), low cardiac index (p = 0.022), and low serum albumin level (p = 0.041) had a significant association with cognitive abnormalities. Both CI and MCI were significantly associated with cardiac events after Cox multivariable adjustment [CI: p = 0.001, adjusted HR 2.66 (1.48-4.77); MCI: p = 0.025, adjusted HR 1.90 (1.09-3.31), normal cognitive function group: reference]. Patients with MCI had a significantly higher risk of unplanned HF hospitalization [p = 0.033, adjusted HR 1.91 (1.05-3.47)], but not all-cause mortality (p = 0.533) or cardiovascular mortality (p = 0.920), while CI was significantly associated with all-cause mortality (p = 0.025) and cardiovascular mortality (p = 0.036).

CONCLUSION

Even MCI had a significant risk of cardiac events in patients with acute decompensated HF. This risk was mainly derived from unplanned HF hospitalization.

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single-center cross-sectional study

BACKGROUND

To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy.

METHODS

In this cross-sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis.

RESULTS

A total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high- and low-risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility.

CONCLUSIONS

The prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment.

Prognosis of acute heart failure in patients followed up in nursing homes in Spain: Results from the RICA registry

BACKGROUND

Patients with chronic diseases such as heart failure (HF) are at risk of hospital admission. We evaluated the impact of living in nursing homes (NH) on readmissions and all-cause mortality of HF patients during a one-year follow up.

METHODS

An observational and multicenter study from the Spanish National Registry of Heart Failure (RICA) was performed. We compared clinical and prognostic characteristics between both groups. Bivariate analyses were performed using Student's t-test and Tukey's method and a Kaplan-Meier survival at one-year follow up. A multivariate proportional hazards analysis of [Cox] regression by the conditional backward method was conducted for the variables being statistically significant related to the probability of death in the univariate.

RESULTS

There were 5644 patients included, 462 (8.2%) of whom were nursing home residents. There were 52.7% women and mean age was 79.7±8.8 years. NH residents had lower Barthel (74.07), Charlson (3.27), and Pfeiffer index (2.2), p<0.001). Mean pro-BNP was 6686pg/ml without statistical significance differences between groups. After 1-year follow-up, crude analysis showed no differences in readmissions 74.7% vs. 72.3%, p=0.292, or mortality 63.9% vs. 61.1%, p=0.239 between groups. However, after controlling for confounding variables, NH residents had a higher 1-year all-cause mortality (HR 1.153; 95% CI 1.011-1.317; p=0.034). Kaplan-Meier analysis showed worse survival in nursing home residents (log-rank of 7.12, p=0.008).

CONCLUSIONS

Nursing home residents with heart failure showed higher one-year mortality which could be due to worse functional status, higher comorbidity, and cognitive deterioration.

Role of Cognitive Frailty in Older Adults With Cardiovascular Disease

As the older adult population expands, an increasing number of patients affected by geriatric syndromes are seen by cardiovascular clinicians. One such syndrome that has been associated with poor outcomes is cognitive frailty: the simultaneous presence of cognitive impairment, without evidence of dementia, and physical frailty, which results in decreased cognitive reserve. Driven by common pathophysiologic underpinnings (eg, inflammation and neurohormonal dysregulation), cardiovascular disease, cognitive impairment, and frailty also share the following risk factors: hypertension, diabetes, obesity, sedentary behavior, and tobacco use. Cardiovascular disease has been associated with the onset and progression of cognitive frailty, which may be reversible in early stages, making it essential for clinicians to diagnose the condition in a timely manner and prescribe appropriate interventions. Additional research is required to elucidate the mechanisms underlying the development of cognitive frailty, establish preventive and therapeutic strategies to address the needs of older patients with cardiovascular disease at risk for cognitive frailty, and ultimately facilitate targeted intervention studies.

Prevalence and modifiable risk factors of cognitive frailty in patients with chronic heart failure in China: a cross-sectional study

BACKGROUND

Cognitive frailty (CF) is currently a significant issue, and most of the associated factors discovered in current studies are not modifiable. Therefore, it is crucial to identify modifiable risk factors that can be targeted for interventions in patients with chronic heart failure (CHF). This study aimed to investigate the prevalence and modifiable risk factors of CF in CHF patients in China.

METHODS

In this cross-sectional study, we sequentially enrolled patients diagnosed with CHF. CF served as the dependent variable, assessed through the Montreal Cognitive Assessment (MoCA) Scale and the FRAIL Scale. The independent variable questionnaire encompassed various components, including general demographic information, the Social Support Rating Scale (SSRS), the Simplified Nutrition Appetite Questionnaire (SNAQ), the Hamilton Depression Scale (HAMD), the Hamilton Anxiety Scale (HAMA), and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Logistic regression analysis was employed to identify independent factors contributing to CF.

RESULTS

A total of 271 patients with CHF were included in the study. The overall prevalence of CF was found to be 49.4%, with 28.8% of patients exhibiting potentially reversible cognitive frailty and 20.7% showing reversible cognitive frailty. Among middle-young CHF patients, 10.7% had reversible cognitive frailty and 6.4% had potentially reversible cognitive frailty, with a prevalence of CF at 17.1%. Logistic regression analysis revealed that body mass index (OR = 0.826, 95%CI = 0.726-0.938), blood pressure level (OR = 2.323, 95%CI = 1.105-4.882), nutrition status (OR = 0.820, 95%CI = 0.671-0.979), and social support (OR = 0.745, 95%CI = 0.659-0.842) were independent factors associated with CF (p < 0.05).

CONCLUSIONS

We observed a relatively high prevalence of CF among Chinese patients diagnosed with CHF. Many factors including BMI, blood pressure level, nutrition status, and social support emerging as modifiable risk factors associated with CF. We propose conducting clinical trials to assess the impact of modifying these risk factors. The outcomes of this study offer valuable insights for healthcare professionals, guiding them in implementing effective measures to improve the CF status in CHF patients during clinical practice.

Effect of cognitive impairment at admission on activities of daily living at discharge in older patients with heart failure

Nonaka Y, Fujii R, Tanaka S, Tabira K. Effect of cognitive impairment at admission on activities of daily living at discharge in older patients with heart failure. Jpn J Compr Rehabil Sci 2023; 14: 78‒83.

Objective

Hasegawa's Dementia Scale-Revised (HDS-R) is widely used as a screening test for cognitive function in older adults. In this study, we examined the effect of cognitive impairment (CI) at admission on activities of daily living (ADL) at discharge in older patients with heart failure (HF).

Methods

This retrospective observational study included 394 patients hospitalized for acute decompensated HF between April 2016 and December 2022. Data on age, sex, body mass index, length of hospital stay, initiation of rehabilitation, New York Heart Association (NYHA) class, Charlson Comorbidity Index, medication, brain natriuretic peptide levels, left ventricular ejection fraction, renal function, hemoglobin level, serum albumin level, Geriatric Nutritional Risk Index (GNRI), Barthel Index (BI), and HDS-R score were analyzed using the χ2 test, unpaired t test, Mann-Whitney U test, and multiple linear regression.

Results

Among 394 patients, 102 who met the final inclusion criteria were included in the study. Based on previous studies, patients were divided into a high BI group (N = 44) and a low BI group (N = 58). Multiple linear regression analysis showed that CI at admission independently affected BI at discharge even after adjusting for confounding effects of age, NYHA class, GNRI, and BI at admission.

Conclusions

Our study showed that the presence or absence of CI may influence ADL improvement in rehabilitation interventions aimed at improving ADL in older patients with HF.

Feasibility, acceptability, and outcome responsiveness of the SYMPERHEART intervention to support symptom perception in persons with heart failure and their informal caregivers: a feasibility quasi-experimental study

BACKGROUND

Symptom perception is an important process of heart failure (HF) self-care that persons with HF need in order to master self-care management. It also leads to better patient outcomes. Symptom perception consists of body observation and analysis, which are both challenging. We aimed to test the feasibility, acceptability, and outcome responsiveness of a novel intervention (SYMPERHEART) delivered to persons with HF with their informal caregiver.

METHODS

We designed SYMPERHEART as a complex evidence-informed education and support intervention targeting body observation and analysis. We conducted a feasibility quasi-experimental study with a single group pre-post-test design. We included three subsamples: persons with HF receiving home-based care, their informal caregivers exposed to SYMPERHEART, and home-care nurses who delivered SYMPERHEART during 1 month. We assessed feasibility by recruitment time, time to deliver SYMPERHEART, eligibility rate, and intervention fidelity. We assessed acceptability by consent rate, retention rate, persons with HF engagement in body observation, and treatment acceptability. Outcome responsiveness was informed by patient-reported (PRO) and clinical outcomes: HF self-care and the informal caregivers' contribution to HF self-care, perception of HF symptom burden, health status, caregivers' burden, and HF events. We performed descriptive analyses for quantitative data and calculated Cohen's d for PROs. A power analysis estimated the sample size for a future full-scale effectiveness study.

RESULTS

We included 18 persons with HF, 7 informal caregivers, and 9 nurses. Recruitment time was 112.6 h. The median time to deliver SYMPERHEART for each participant was 177.5 min. Eligibility rate was 55% in persons with HF. Intervention fidelity revealed that 16 persons with HF were exposed to body observation and analysis. Consent and retention rates in persons with HF were 37.5% and 100%, respectively. Participants engaged actively in symptom and weight monitoring. Treatment acceptability scores were high. Symptom perception and informal caregivers' contribution to symptom perception were found to be responsive to SYMPERHEART. We estimate that a sample size of 50 persons with HF would be needed for a full-scale effectiveness study.

CONCLUSIONS

SYMPERHEART was found to be feasible and acceptable. This feasibility study provides information for a subsequent effectiveness study.

TRIAL REGISTRATION

ISRCTN. ISRCTN18151041 , retrospectively registered on 4 February 2021, ICTRP Search Portal.

Handgrip strength and the prognosis of patients with heart failure: A meta-analysis

BACKGROUND

Reduced muscular strength is common in patients with heart failure (HF). The aim of the systematic review and meta-analysis was to evaluate the association between handgrip strength (HGS) and prognosis of patients with HF.

HYPOTHESIS

Reduced HGS may be a risk factor of poor prognosis of patients with HF.

METHODS

Relevant observational studies with longitudinal follow-up were obtained by a comprehensive search of PubMed, Embase, Cochrane Library, and Web of Science databases. A random-effects model was used to pool the results.

RESULTS

Fifteen studies involving 7350 patients with HF were included in the meta-analysis. Pooled results showed that HF patients with lower HGS were associated with a higher risk of mortality during follow-up (risk ratio [RR]: 2.00, 95% confidence interval [CI]: 1.55-2.58, p < .001; I2  = 0%). Subgroup analysis showed that the association was not significantly affected by characteristics such as study country, design, mean age of the patients, HF status (stable or advanced/acute), HF type (reduced or preserved ejection fraction), follow-up duration, and quality score (p for subgroup difference all > 0.05). Further analysis showed that per 1 kgf decrease of HGS was associated with an 8% increased risk of mortality during follow-up (RR: 1.08, 95% CI: 1.05-1.11, p < .001; I2  = 12%). Moreover, HF patients with lower HGS were also related to a higher risk of composite outcome of HF rehospitalization or mortality (RR: 1.67, 95% CI: 1.19-2.35, p = .003; I2  = 53%).

CONCLUSION

A low HGS may be associated with poor clinical outcomes of patients with HF.

Frailty and heart failure: State-of-the-art review

At least half of all patients with heart failure (HF) are affected by frailty, a syndrome that limits an individual ability to recover from acute stressors. While frailty affects up to 90% of patients with HF with preserved ejection fraction, it is also seen in ~30-60% of patients with HF with reduced ejection fraction, with ~26% higher prevalence in women compared with men. The relationship between frailty and HF is bidirectional, with both conditions exacerbating the other. Frailty is further complicated by a higher prevalence of sarcopenia (by ~20%) in HF patients compared with patients without HF, which negatively affects outcomes. Several frailty assessment methods have been employed historically including the Fried frailty phenotype and Rockwood Clinical Frailty Scale to classify HF patients based on the severity of frailty; however, a validated HF-specific frailty assessment tool does not currently exist. Frailty in HF is associated with a poor prognosis with a 1.5-fold to 2-fold higher risk of all-cause death and hospitalizations compared to non-frail patients. Frailty is also highly prevalent in patients with worsening HF, affecting >50% of patients hospitalized for HF. Such patients with multiple readmissions for decompensated HF have markedly poor outcomes compared to younger, non-frail cohorts, and it is hypothesized that it may be due to major physical and functional limitations that limit recovery from an acute episode of worsening HF, a care aspect that has not been addressed in HF guidelines. Frail patients are thought to confer less benefit from therapeutic interventions due to an increased risk of perceived harm, resulting in lower adherence to HF interventions, which may worsen outcomes. Multiple studies report that <40% of frail patients are on guideline-directed medical therapy for HF, of which most are on suboptimal doses of these medications. There is a lack of evidence generated from randomized trials in this incredibly vulnerable population, and most current practice is governed by post hoc analyses of trials, observational registry-based data and providers' clinical judgement. The current body of evidence suggests that the treatment effect of most guideline-based interventions, including medications, cardiac rehabilitation and device therapy, is consistent across all age groups and frailty subgroups and, in some cases, may be amplified in the older, more frail population. In this review, we discuss the characteristics, assessment tools, impact on prognosis and impact on therapeutic interventions of frailty in patients with HF.

Development and validation of a nomogram-assisted tool to predict potentially reversible cognitive frailty in Chinese community-living older adults

BACKGROUND

Cognitive frailty (CF) is a complex and heterogeneous clinical syndrome that indicates the onset of neurodegenerative processes and poor prognosis. In order to prevent the occurrence and development of CF in real world, we intended to develop and validate a simple and timely diagnostic instrument based on comprehensive geriatric assessment that will identify patients with potentially reversible CF (PRCF).

METHODS

750 community-dwelling individuals aged over 60 years were randomly allocated to either a training or validation set at a 4:1 ratio. We used the operator regression model offering the least absolute data dimension shrinkage and feature selection among candidate predictors. PRCF was defined as the presence of physical pre-frailty, frailty, and mild cognitive impairment (MCI) occurring simultaneously. Multivariate logistic regression was conducted to build a diagnostic tool to present data as a nomogram. The performance of the tool was assessed with respect to its calibration, discrimination, and clinical usefulness.

RESULTS

PRCF was observed in 326 patients (43%). Predictors in the tool were educational background, coronary heart disease, handgrip strength, gait speed, instrumental activity of daily living (IADL) disability, subjective cognitive decline (SCD) and five-times-sit-to-stand test. The diagnostic nomogram-assisted tool exhibited good calibration and discrimination with a C-index of 0.805 and a higher C-index of 0.845 in internal validation. The calibration plots demonstrated strong agreement in both the training and validation sets, while decision curve analysis confirmed the nomogram's efficacy in clinical practice.

CONCLUSIONS

This tool can effectively identify older adults at high risk for PRCF, enabling physicians to make informed clinical decisions and implement proper patient-centered individual interventions.

Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships

This study aimed to explore all the relevant subtypes of cognitive frailty among Japanese community-dwelling older adults with multimorbidity. Moreover, it examined the associations between these potential subtypes of cognitive frailty and social relationships. This study targeted relevant cross-sectional data regarding community-based older adults with multimorbidity. It employed a person-centered method to perform a latent class analysis and explore the subtypes of cognitive frailty among older adults. Moreover, a multinominal logistic regression analysis was employed to examine the association between potential subtypes of cognitive frailty and social relationships. Data for 396 participants (mean age, 75.8 [SD, 7.3] years; 51.3% females) were analyzed. Three cognitive frailty subtypes were subsequently revealed: the robust group (42.0%), the group with partial cognitive frailty (38.6%), and the group with cognitive frailty (19.4%). People with high levels of social relationships were more likely to be in the robust and the partial cognitive frailty groups. This study identified different subtypes of cognitive frailty among multimorbid older adults and highlighted the significance of social relationships. These findings could serve as a reference for conceptualizing cognitive frailty through the person-centered method. Promoting a high level of social relationships could be useful to prevent the cognitive frailty among older adults with multimorbidity.

The concurrent impact of mild cognitive impairment and frailty syndrome in heart failure

Pathological processes associated with ageing increase the risk of cognitive deficits and dementia. Frailty syndrome, also known as weakness or reserve depletion syndrome, may significantly accelerate these pathological processes in the elderly population. Frailty syndrome is characterized by decreased physiological function and neuropsychiatric symptoms, including cognitive decline and depressive states. In people with cardiovascular disease, the risk of frailty is 3 times higher. Frailty syndrome is particularly prevalent in severe heart failure, which increases the risk of mortality, increases hospital readmission, and reduces patients' quality of life. In addition, co-occurrence of cognitive impairment and frailty syndrome significantly increases the risk of dementia and other adverse outcomes, including mortality, in the heart failure population.

Prognostic implications of six-minute walking distance in patients with heart failure with preserved ejection fraction

BACKGROUND

The incremental prognostic value of the six-minute walking test over conventional risk factors has not been evaluated in an adequate number of patients with heart failure with preserved ejection fraction (HFpEF). Therefore, we aimed to examine its prognostic significance using data from the FRAGILE-HF study.

METHODS AND RESULTS

A total of 513 older patients who were hospitalized for worsening heart failure were examined. Patients were classified according to the tertiles of six-minute walking distance (6MWD): T1 (<166 m), T2 (166-285 m), and T3 (≥285 m). During the 2-year follow-up period after discharge, 90 all-cause deaths occurred. Kaplan-Meier curves showed that the T1 group had significantly higher event rates than the other groups (log-rank p = 0.007). Cox proportional hazard analysis revealed that the T1 group was independently associated with lower survival, even after adjusting for conventional risk factors (T3: hazard ratio 1.79, 95% confidence interval 1.02-3.14, p = 0.042). The addition of the 6MWD to the conventional prognostic model showed a statistically significant incremental prognostic value (net reclassification improvement 0.27, 95% confidence interval 0.04-0.49; p = 0.019).

CONCLUSIONS

The 6MWD is associated with survival in patients with HFpEF and has an incremental prognostic value over conventional well-validated risk factors.

Epidemiology, Pathophysiology, Diagnosis, and Therapy of Heart Failure With Preserved Ejection Fraction in Japan

Heart failure (HF) with preserved ejection fraction (HFpEF) is a global health care problem, with diagnostic difficulty, limited treatment options and high morbidity and mortality rates. The prevalence of HFpEF is increasing because of the aging population and the increasing burden of cardiac and metabolic comorbidities, such as systemic hypertension, diabetes, chronic kidney disease, and obesity. The knowledge base is derived primarily from the United States and Europe, and data from Asian countries, including Japan, remain limited. Given that phenotypic differences may exist between Japanese and Western patients with HFpEF, careful characterization may hold promise to deliver new therapy specific to the Japanese population. In this review, we summarize the current knowledge regarding the epidemiology, pathophysiology and diagnosis of and the potential therapies for HFpEF in Japan.

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.

Institutional Residence Protects Against Cognitive Frailty: A Cross-Sectional Study

Based on the complex aging background, more and more older people have to live in an institution in later life in China. The prevalence of cognitive frailty (CF) is more higher in institutions than in communities. Rarely studies were conducted on the relationship between institutional residence and CF. Hence, this study were performed to determine the relationship between institutional residence (living in a nursing home) and CF in older adults. A total of 1004 older community residents and 111 older nursing home residents over 50 years of age from Hefei, Anhui Province, China were recruited. CF included physical frailty (PF) and mild cognitive impairment (MCI). PF was assessed using the Chinese version of the Fried frailty scale, MCI was assessed using the Montreal Cognitive Assessment, and the common associated factors including sedentary behavior, exercise, intellectual activity, comorbidity, medication, chronic pain, sleep disorders, nutritional status and loneliness were analyzed using regression logistic models. Multivariate regression logistic analysis showed that exercise (P = .019, odds ratio [OR] = 0.494, 95% confidence interval [CI]: 0.274-0.891), intellectual activity (P = .019, OR = 0.595, 95% CI: 0.380-0.932), medication use (P = .003, OR = 2.388, 95% CI: 1.339-4.258), chronic pain (P = .003, OR = 1.580, 95% CI: 1.013-2.465) and loneliness (P = .000, OR = 2.991, 95% CI: 1.728-5.175) were significantly associated with CF in community residents; however, only sedentary behavior (P = .013, OR = 3.851, 95% CI: 1.328-11.170) was significantly associated with CF in nursing home residents. Our findings suggest that nursing homes can effectively address many common risk factors for CF, including lack of exercise and intellectual activity, medication use, chronic pain, and loneliness, better than the community setting. Thus, residing in a nursing home is conducive to the intervention of CF.

Prevalence and Incidence of Cognitive Impairment and Dementia in Heart Failure - A Systematic Review, Meta-Analysis and Meta-Regression

INTRODUCTION

The burden of cognitive impairment in HF patients is significant and leads to longer hospital stay, higher readmission rates, and increased mortality. This review seeks to synthesize the available studies to determine the prevalence and incidence of cognitive impairment and dementia in HF patients.

METHODS

PubMed, Embase, PsychoINFO and Cochrane databases were systematically searched from their inception through to 3 May 2021. Study and population characteristics, total patients with HF, prevalence of cognitive impairment and dementia in HF patients and cognitive assessment tool were abstracted by two reviewers.

RESULTS

In heart failure patients, overall prevalence for cognitive impairment and dementia was 41.42% (CI) and 19.79% (dementia) respectively. We performed a meta-regression analysis which demonstrated that the risk of cognitive impairment and dementia increased with age.

DISCUSSION

Further research should investigate whether HF accelerates the rate of cognitive decline and the progression of dementia.