Impact of Frailty on Mortality and Hospitalization in Chronic Heart Failure: A Systematic Review and Meta-Analysis

Frailty and psychiatric disorders: A bidirectional Mendelian randomization study

BACKGROUND

The association between frailty and psychiatric disorders has been reported in observational studies. However, it is unclear whether frailty facilitates the appearance of psychiatric disorders or vice versa. Therefore, we conducted a bidirectional Mendelian randomization (MR) study to evaluate the causality.

METHODS

Independent genetic variants associated with frailty index (FI) and psychiatric disorders were obtained from large genome-wide association studies (GWAS). The inverse variance weighted method was utilized as the primary method to estimate causal effects, followed by various sensitivity analyses. Multivariable analyses were performed to further adjust for potential confounders.

RESULTS

The present MR study revealed that genetically predicted FI was significantly and positively associated with the risk of major depressive disorder (MDD) (odds ratio [OR] 1.79, 95 % confidence interval [CI] 1.48-2.15, P = 1.06 × 10-9), anxiety disorder (OR 1.61, 95 % CI 1.19-2.18, P = 0.002) and neuroticism (OR 1.38, 95 % CI 1.18-1.61, P = 3.73 × 10-5). In the reverse MR test, genetic liability to MDD (beta 0.232, 95 % CI 0.189-0.274, P = 1.00 × 10-26) and neuroticism (beta 0.128, 95 % CI 0.081-0.175, P = 8.61 × 10-8) were significantly associated with higher FI. Multivariable analyses results supported the causal association between FI and MDD and neuroticism.

LIMITATIONS

Restriction to European populations, and sample selection bias.

CONCLUSIONS

Our study suggested a bidirectional causal association between frailty and MDD neuroticism, and a positive correlation of genetically predicted frailty on the risk of anxiety disorder. Developing a deeper understanding of these associations is essential to effectively manage frailty and optimize mental health in older adults.

Status and influencing factors of frailty in hospitalized patients with chronic heart failure: A cross-sectional study

OBJECTIVES

To investigate the frailty status of inpatients with chronic heart failure (CHF) and analyse its influencing factors, so as to provide evidence for the early identification of high-risk groups and frailty management.

BACKGROUND

Early identification of frailty can guide the development and implementation of holistic and individualized treatment plans. However, at present, the frailty of patients with CHF has not attracted enough attention.

DESIGN

A cross-sectional study.

METHODS

From June 2022 to June 2023, a convenience sample of 256 participants were recruited at a hospital in China. Multivariate logistic regression analysis was used to explore the influencing factors of frailty in patients with CHF, and an ROC curve was drawn to determine the cut-off values for each influencing factor. STROBE checklist guides the reporting of the manuscript.

RESULTS

A total of 270 questionnaires were sent out during the survey, and 256 valid questionnaires were ultimately recovered, resulting in an effective recovery rate of 94.8%. The incidence of frailty in hospitalized patients with CHF was 68.75%. Multivariable logistic regression analysis showed that age, self-care ability, nutritional risk, Kinesiophobia and NT-proBNP were risk factors for frailty, while albumin and LVEF were protective factors.

CONCLUSION

Multidimensional frailty was prevalent in hospitalized patients with CHF. Medical staff should take measures as early as possible from the aspects of exercise, nutrition, psychology and disease to delay the occurrence and development of frailty and reduce the occurrence of clinical adverse events caused by frailty.

RELEVANCE TO CLINICAL PRACTICE

This study emphasizes the importance of the early identification of multidimensional frailty and measures can be taken to delay the occurrence and development of frailty through exercise, nutrition, psychology and disease treatment.

PATIENT OR PUBLIC CONTRIBUTION

Patients contributed through sharing their information required for the case report form and filling out questionnaires.

Association Between Frailty and Management and Outcomes of Acute Myocardial Infarction Complicated by Cardiogenic Shock

Background

Cardiogenic shock (CS) in the setting of acute myocardial infarction (AMI) is associated with high morbidity and mortality. Frailty is a common comorbidity in patients with cardiovascular disease and is also associated with adverse outcomes. The impact of preexisting frailty at the time of CS diagnosis following AMI has not been studied.

Objectives

The purpose of this study was to examine the prevalence of frailty in patients admitted with AMI complicated by CS (AMI-CS) hospitalizations and its associations with in-hospital outcomes.

Methods

We retrospectively analyzed the National Inpatient Sample from 2016 to 2020 and identified all hospitalizations for AMI-CS. We classified them into frail and nonfrail groups according to the hospital frailty risk score cut-off of 5 and compared in-hospital outcomes.

Results

A total of 283,700 hospitalizations for AMI-CS were identified. Most (70.8%) occurred in the frail. Those with frailty had higher odds of in-hospital mortality (adjusted OR [aOR]: 2.17, 95% CI: 2.07 to 2.26, P < 0.001), do-not-resuscitate status, and discharge to a skilled nursing facility compared with those without frailty. They also had higher odds of in-hospital adverse events, including intracranial hemorrhage, gastrointestinal hemorrhage, acute kidney injury, and delirium. Importantly, AMI-CS hospitalizations in the frail had lower odds of coronary revascularization (aOR: 0.55, 95% CI: 0.53-0.58, P < 0.001) or mechanical circulatory support (aOR: 0.89, 95% CI: 0.85-0.93, P < 0.001). Lastly, hospitalizations for AMI-CS showed an overall increase from 53,210 in 2016 to 57,065 in 2020 (P trend <0.001), with this trend driven by a rise in the frail.

Conclusions

A high proportion of hospitalizations for AMI-CS had concomitant frailty. Hospitalizations with AMI-CS and frailty had higher rates of in-hospital morbidity and mortality compared to those without frailty.

The association between frailty and in-hospital mortality in critically ill patients with congestive heart failure: results from MIMIC-IV database

Background

Frailty correlates with adverse outcomes in many cardiovascular diseases and is prevalent in individuals with heart failure (HF). The Hospital Frailty Risk Score (HFRS) offers an integrated, validated solution for frailty assessment in acute care settings, but its application in critically ill patients with congestive HF lacks exploration. This study aimed to identify the association between frailty assessed by the HFRS and in-hospital mortality in critically ill patients with congestive HF.

Methods

This observational study retrospectively enrolled 12,179 critically ill patients with congestive HF. Data from the Medical Information Mart for Intensive Care IV database was used. The HFRS was calculated to assess frailty. Patients were categorized into three groups: non-frailty (HFRS < 5, n = 7,961), pre-frailty (5 ≤ HFRS < 15, n = 3,684), and frailty (HFRS ≥ 15, n = 534). Outcomes included in-hospital mortality, length of intensive care unit stay, and length of hospital stay. Multiple logistic regression and Locally Weighted Scatterplot Smoothing (LOWESS) smoother were used to investigate the association between frailty and outcomes. Subgroup analysis was employed to elucidate the correlation between frailty levels and in-hospital mortality across diverse subgroups.

Results

12,179 patients were enrolled, 6,679 (54.8%) were male, and the average age was 71.05 ± 13.94 years. The overall in-hospital mortality was 11.7%. In-hospital mortality increased with the escalation of frailty levels (non-frailty vs. pre-frailty vs. frailty: 9.7% vs. 14.8% vs. 20.2%, P < 0.001). The LOWESS curve demonstrated that the HFRS was monotonically positively correlated with in-hospital mortality. Upon controlling for potential confounders, both pre-frailty and frailty statuses were found to be independently linked to a heightened risk of mortality during hospitalization (odds ratio [95% confidence interval]: pre-frailty vs. non-frailty: 1.27 [1.10-1.47], P = 0.001; frailty vs. non-frailty: 1.40 [1.07-1.83], P = 0.015; P for trend < 0.001). Significant interactions between frailty levels and in-hospital mortality were observed in the following subgroups: race, heart rate, creatinine, antiplatelet drug, diabetes, cerebrovascular disease, chronic renal disease, and sepsis.

Conclusion

In critically ill patients with congestive HF, frailty as assessed by the HFRS emerged as an independent predictor for the risk of in-hospital mortality. Prospective, randomized studies are required to determine whether improvement of frailty levels could improve clinical prognosis.

Association between walking speed early after admission and all-cause death and/or re-admission in patients with acute decompensated heart failure

AIMS

Patients with heart failure (HF) frequently experience decreased physical function, including walking speed. Slower walking speed is associated with poorer prognosis. However, most of these reports focused on patients with stable HF, and the relationship between walking speed in acute phase and clinical outcomes is unclear. Therefore, we aimed to investigate the associations between walking speed early after admission and clinical events in patients with acute decompensated HF (ADHF).

METHODS AND RESULTS

We reviewed consecutive 1391 patients admitted due to ADHF. We measured walking speed the first time to walk on the ward more than 10 m after admission, and the speed within 4 days after admission was included in this study. The primary outcome was combined events (all-cause death and/or re-admission due to HF). The follow-up period was up to 1 year from the discharge. The study population had a median age of 74 years [interquartile range (IQR): 65-80 years], and 35.9% of patients were females. The median walking speed was 0.70 m/s (IQR: 0.54-0.88 m/s). Combined events occurred in 429 (30.8%) patients. Faster walking speed was independently associated with lower rate of combined events (adjusted hazard ratio per 0.1 m/s increasing: 0.951, 95% confidence interval: 0.912-0.992).

CONCLUSION

Faster walking speed within 4 days after admission was associated with favourable clinical outcomes in patients with ADHF. The results suggest that measuring walking speed in acute phase is useful for earlier risk stratification.

Heart failure promotes multimorbidity through innate immune memory

Patients with heart failure (HF) often experience repeated acute decompensation and develop comorbidities such as chronic kidney disease and frailty syndrome. Although this suggests pathological interaction among comorbidities, the mechanisms linking them are poorly understood. Here, we identified alterations in hematopoietic stem cells (HSCs) as a critical driver of recurrent HF and associated comorbidities. Bone marrow transplantation from HF-experienced mice resulted in spontaneous cardiac dysfunction and fibrosis in recipient mice, as well as increased vulnerability to kidney and skeletal muscle insults. HF enhanced the capacity of HSCs to generate proinflammatory macrophages. In HF mice, global chromatin accessibility analysis and single-cell RNA-seq showed that transforming growth factor-β (TGF-β) signaling was suppressed in HSCs, which corresponded with repressed sympathetic nervous activity in bone marrow. Transplantation of bone marrow from mice in which TGF-β signaling was inhibited similarly exacerbated cardiac dysfunction. Collectively, these results suggest that cardiac stress modulates the epigenome of HSCs, which in turn alters their capacity to generate cardiac macrophage subpopulations. This change in HSCs may be a common driver of repeated HF events and comorbidity by serving as a key carrier of "stress memory."

Systolic and diastolic blood pressure time in target range and cardiovascular outcomes in patients with hypertension and pre-frailty or frailty status

In patients with hypertension and pre-frailty or frailty, the influence of systolic (SBP) and diastolic blood pressure (DBP) time in target range (TTR) on clinical outcomes is unclear. Thus, we conducted a post hoc analysis of the Systolic Blood Pressure Intervention Trial (SPRINT). Classifying 4208 participants into frail and non-frail groups using a frailty index, the study calculated blood pressure time in target range (BP-TTR) for the first three months using the Rosendaal method. The primary endpoint included a composite of nonfatal myocardial infarction (MI), acute coronary syndromes, stroke, acute decompensated heart failure (ADHF), and cardiovascular death. Relationships between BP-TTR and outcomes were analyzed using Kaplan-Meier curves, Cox models, and restricted cubic spline curves, with subgroup analysis for further insights. In a median follow-up of 3.17 years, primary outcomes occurred in 6.7% of participants. Kaplan-Meier analysis showed that a lower systolic blood pressure time in target range (SBP-TTR) (0%-25%) correlated with an increased cumulative incidence of the primary outcome (p < .001), nonfatal MI (P = .021), stroke (P = .004), and cardiovascular death (P = .002). A higher SBP-TTR (75%-<100%) was linked to a reduced risk of these outcomes. The restricted cubic spline (RCS) curve revealed a linear association between SBP-TTR and the primary outcome (non-linear P = .704). Similar patterns were observed for diastolic blood pressure time in target range (DBP-TTR). Subgroup analysis showed that the protective effect of higher SBP-TTR was less pronounced at low DBP-TTR levels (P for interaction = .023). In conclusion, this study highlights the importance of maintaining BP within the target range to mitigate cardiovascular risks in this population.

Association between trajectories of systolic blood pressure and frailty outcome in middle-aged and older adults

OBJECTIVES

The association between blood pressure and frailty outcome in the middle-aged and older population remains controversial. This study aimed to examine the relationship between trajectories of systolic blood pressure (SBP) and new-onset frailty.

DESIGN

Cohort study with a 7-year follow-up.

SETTING AND PARTICIPANTS

Data were derived from 4 waves (2011, 2013, 2015 and 2018) of the China Health and Retirement Longitudinal Study and 6168 participants aged ≥45 years were included in the study.

METHODS

The frailty index (FI) was constructed based on 40 scored items, with FI ≥ 0.25 defined as frailty. We identified the 5-year trajectory of SBP by latent class trajectory modeling. The association between SBP trajectories and frailty was explored based on hazard ratios (HR) by four Cox proportional hazards models. Furthermore, we also investigated the relationship between mean SBP and systolic blood pressure variability (SBPV) and frailty.

RESULTS

6168 participants were included in this study with a mean age of 59 years. We identified five trajectories based on SBP, which are maintained low-stable SBP (T0), moderate-stable SBP (T1), remitting then increasing SBP (T2), increasing then remitting SBP (T3), and remaining stable at high SBP levels (T4). During the 7-year follow-up period, frailty outcome occurred in 1415 participants. After adjusting for other confounders, the two trajectories labeled "T2" and "T4" were associated with a higher risk of frailty compared with T0. In addition, elevated SBP and increased SBPV were associated with risk of frailty.

CONCLUSIONS

Higher risk of frailty occurred in two trajectories, remitting then increasing and remaining stable at high SBP levels, were associated with a relatively higher risk of frailty.

What is the additive value of nutritional deficiency to VA-FI in the risk assessment for heart failure patients?

OBJECTIVES

To assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure.

METHODS

A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≥50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≤43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≤0.1), prefrail (0.1-0.2), and frail (>0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32nd deficit with the total number of deficits divided by 32. Frailty levels used the same cut-offs as the VA-FI. We compared categories based on VA-FI to those based on VA-FI-Nutrition and estimated the hazard ratio (HR) for post-discharge all-cause mortality over the study period as the primary outcome and other adverse events as secondary outcomes among patients with reduced or preserved ejection fraction in each VA-FI and VA-FI-Nutrition frailty groups.

RESULTS

We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m2). In general, VA-FI-Nutrition reclassified 1959 (18.6%) Veterans to a higher frailty level. The VA-FI identified 1,880 (5%) as robust, 8,644 (23%) as prefrail, and 27,077 (72%) as frail. The VA-FI-Nutrition reclassified 382 (20.3%) from robust to prefrail and 1577 (18.2%) from prefrail to frail creating the modified-prefrail and modified-frail categories based on the VA-FI-Nutrition. We observed shorter time-to-death among Veterans reclassified to a higher frailty status vs. those who remained in their original group (Median of 2.8 years (IQR:0.5,6.8) in modified-prefrail vs. 6.3 (IQR:1.8,6.8) years in robust, and 2.2 (IQR:0.7,5.7) years in modified-frail vs. 3.9 (IQR:1.4,6.8) years in prefrail). The adjusted HR in the reclassified groups was also significantly higher in the VA-FI-Nutrition frailty categories with a 38% increase in overall all-cause mortality among modified-prefrail and a 50% increase among modified-frails. Similar trends of increasing adverse events were also observed among reclassified groups for other clinical outcomes.

CONCLUSION

Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF.

Frailty, Sarcopenia, Cachexia, and Malnutrition in Heart Failure

With global aging, the number of patients with heart failure has increased markedly. Heart failure is a complex condition intricately associated with aging, organ damage, frailty, and cognitive decline, resulting in a poor prognosis. The relationship among frailty, sarcopenia, cachexia, malnutrition, and heart failure has recently received considerable attention. Although these conditions are distinct, they often exhibit a remarkably close relationship. Overlapping diagnostic criteria have been observed in the recently proposed guidelines and position statements, suggesting that several of these conditions may coexist in patients with heart failure. Therefore, a comprehensive understanding of these conditions is essential, and interventions must not only target these conditions individually, but also provide comprehensive management strategies. This review article provides an overview of the epidemiology, diagnostic methods, overlap, and prognosis of frailty, sarcopenia, cachexia, and malnutrition in patients with heart failure, incorporating insights from the FRAGILE-HF study data. Additionally, based on existing literature, this article discusses the impact of these conditions on the effectiveness of guideline-directed medical therapy for patients with heart failure. While recognizing these conditions early and promptly implementing interventions may be advantageous, further data, particularly from well-powered, large-scale, randomized controlled trials, are necessary to refine personalized treatment strategies for patients with heart failure.

Characterisation of the octogenarians presenting to the diagnostic heart failure clinic: SHEAF registry

INTRODUCTION

Heart failure (HF) incidence is increasing in older adults with high hospitalisation and mortality rates. Treatment is complicated by side effects and comorbidities. We investigated the clinical characteristics of octogenarians presenting to the HF clinic.

METHODS

Data were collected on octogenarians (80-89 years) referred to the HF clinic in two periods. The data included demographics, HF phenotype, comorbidities, symptoms and treatment. We investigate the temporal changes in clinical characteristics using χ2 test. We aimed to determine the clinical characteristics which were associated with optimisation of HF pharmacological intervention in the clinic, conducting multivariate regression analysis. Statistical significance is determined at p<0.05.

RESULTS

Data were collected in April 2012 to January 2014 and in June 2021 to December 2022. In this cross-sectional study of temporal data, 571 octogenarians were referred to the clinic in the latter period, in whom the prevalence of HF was 68.48% (391 patients). HF with preserved ejection fraction (HFpEF) was the most common phenotype and increased significantly compared with the first period (46.3% and 29.2%, p<0.001). Frailty, chronic kidney disease and ischaemic heart disease increased significantly versus the first period (p<0.001). During the second period, and following the consultation, of the patients with HF with reduced ejection fraction (HFrEF), 86.4% and 82.7% were on a beta blocker and on an ACE inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, respectively. Clinical characteristics associated with further optimisations of HF pharmacological therapy in the HF clinic were: New York Heart Association (NYHA) functional class III and the presence of HFrEF phenotype CONCLUSIONS: With a prevalence of HF at 68% among the octogenarians referred to the HF clinic, HFpEF incidence is rising. The decision to optimise HF pharmacological treatment in octogenarians is driven by NYHA functional class III and the presence of HFrEF phenotype.

Genetically supported causality between gut microbiota and frailty: a two-sample Mendelian randomization study

Background

A mounting body of evidence suggests a strong connection between gut microbiota and the risk of frailty. However, the question of causality remains unanswered. In this study, we employed a Mendelian randomization (MR) approach to assess potential causal relationships between gut microbiota and the risk of frailty.

Materials and methods

Summary statistics for the gut microbiome were obtained from a genome wide association study (GWAS) meta-analysis of the MiBioGen consortium (N = 18,340). Summary statistics for frailty were obtained from a GWAS meta-analysis, including the UK Biobank and TwinGene (N = 175,226). Our primary analysis utilized the inverse variance weighted (IVW) method. To enhance the robustness of our results, we also applied weighted median methods, MR Egger regression, and MR pleiotropy residual sum and outlier test. Finally, we conducted reverse MR analysis to investigate the potential for reverse causality.

Results

IVW method identified 7 bacterial taxa nominally associated with the risk of FI. Class Bacteroidia (p = 0.033) and genus Eubacterium ruminantium group (p = 0.028) were protective against FI. In addition, class Betaproteobacteria (p = 0.042), genus Allisonella (p = 0.012), genus Bifidobacterium (p = 0.013), genus Clostridium innocuum group (p = 0.036) and genus Eubacterium coprostanoligenes group (p = 0.003) were associated with a higher risk of FI. No pleiotropy or heterogeneity were found.

Conclusion

The MR analysis indicates a causal relationship between specific gut microbiota and FI, offering new insights into the mechanisms underlying FI mediated by gut microbiota.

The Association of Unmet Palliative Care Needs and Physical Frailty With Clinical Outcomes: A Prospective Study of Adults With Heart Failure

BACKGROUND

People with heart failure, particularly those who are physically frail, experience complex needs that can be addressed by palliative care (PC). However, we have a limited understanding of how the intersection of unmet PC needs and physical frailty contributes to health-related quality of life (HRQOL) and risk for hospitalization or mortality.

OBJECTIVE

In this study, we sought to examine the association of unmet PC needs and physical frailty with clinical outcomes (baseline HRQOL and hospitalizations or mortality at 6 months).

METHODS

We recruited a convenience sample of community-dwelling persons with heart failure from an urban hospital system who were older than 50 years and hospitalized in the last year. We measured physical frailty using the FRAIL scale (nonfrail, 0-2; frail, 3-5), PC needs using the Integrated Palliative Outcome Scale (range, 0-58; higher scores indicating higher needs), and HRQOL using the Kansas City Cardiomyopathy Questionnaire (range, 0-100; higher scores indicate higher HRQOL). We performed multivariable linear regression to test the relationships between physical frailty, PC needs, and HRQOL, and multivariable logistic regression for associations with all-cause 6-month hospitalization or mortality. We also performed an exploratory analysis of 4 PC needs/frailty groups (high PC needs/frail, high PC needs/nonfrail, low PC needs/frail, low PC needs/nonfrail) with outcomes.

RESULTS

In our overall sample (n = 298), mean (SD) age was 68 (9.8) years, 37% were women (n = 108), 28% identified as Black/African American (n = 84), and 65% had heart failure with preserved ejection fraction (n = 194). Mean PC needs score was 19.7, and frail participants (n = 130, 44%) had a significantly higher mean PC needs score than nonfrail participants (P < .001). Those with higher PC needs (Integrated Palliative Care Outcome Scale ≥ 20) had significantly worse HRQOL (P < .001) and increased odds of hospitalization or mortality (odds ratio, 2.5; P < .01) compared with those with lower PC needs, adjusting for covariates. Physically frail participants had significantly worse HRQOL (P < .001) and higher odds of hospitalization or mortality at 6 months (odds ratio, 2.6; P < .01) than nonfrail participants, adjusting for covariates. In an exploratory analysis, physically frail participants with high PC needs had the lowest HRQOL score, with an average score of 28.6 points lower (P < .001) and 4.6 times higher odds of hospitalization or mortality (95% confidence interval, 2.03-10.43; P < .001) than low-needs/nonfrail participants.

CONCLUSION

Higher unmet PC needs and physical frailty, separately and in combination, were associated with lower HRQOL and higher odds of hospitalization or mortality. Self-reported PC needs and physical frailty assessment in clinical settings may improve identification of patients at the highest risk for poor HRQOL and hospitalization or mortality amenable to PC intervention.

Body mass index, frailty, and outcomes in heart failure with preserved ejection fraction

AIMS

Relationship between body mass index (BMI), frailty, and clinical adverse events remains unclear in patients with heart failure (HF) with preserved ejection fraction (HFpEF) in different patient populations. We aimed to compare the association of BMI, frailty, and clinical adverse events between a US cohort from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) study and a Chinese cohort from the Heart Failure Registry of Patient Outcomes (HERO) study.

METHODS AND RESULTS

We used data of 1715 participants enrolled from America in the TOPCAT study and 1487 patients with HFpEF in the Chinese registry study, the HERO. We evaluated the relationship between BMI and frailty using multivariate restricted cubic spline logistic regression. Association between frailty and BMI categories and primary outcomes including HF hospitalization, aborted sudden death, and cardiovascular death, all-cause mortality, and HF hospitalization were analysed by Cox proportional hazards models. The patients' mean age was 72 ± 11 years for both study populations, with 50% and 46% female for the TOPCAT study and the HERO study, respectively. Patients in the TOPCAT study had a higher mean BMI (33.9 vs. 24 kg/m2), with 72.3% vs. 52.9% defined as moderately to severely frail (frailty index > 0.3). In the TOPCAT study, risk of frailty rose as BMI increased, but not in the HERO study. Patients with frailty were at significant higher risk for the primary composite outcomes [hazard ratio (HR) 1.84 (95% confidence interval: 1.46-2.32)], all-cause mortality [HR 1.73 (1.34-2.25)], and HF hospitalization [HR 1.83 (1.40-2.40)] in the TOPCAT study. The corresponding numbers in the HERO study were 1.26 (1.01-1.57), 2.21 (1.45-3.35), and 1.15 (0.81-1.37), respectively. The association of frailty with clinical outcomes did not vary with BMI categories in the two studies.

CONCLUSIONS

BMI distribution and association between BMI and frailty risk were different between the two study populations. Frailty was associated with clinical adverse events and this association was consistent across different BMI categories in both studies.

Low circulating levels of miR-17 and miR-126-3p are associated with increased mortality risk in geriatric hospitalized patients affected by cardiovascular multimorbidity

MultiMorbidity (MM), defined as the co-occurrence of two or more chronic conditions, is associated with poorer health outcomes, such as recurrent hospital readmission and mortality. As a group of conditions, cardiovascular disease (CVD) exemplifies several challenges of MM, and the identification of prognostic minimally invasive biomarkers to stratify mortality risk in patients affected by cardiovascular MM is a huge challenge. Circulating miRNAs associated to inflammaging and endothelial dysfunction, such as miR-17, miR-21-5p, and miR-126-3p, are expected to have prognostic relevance. We analyzed a composite profile of circulating biomarkers, including miR-17, miR-21-5p, and miR-126-3p, and routine laboratory biomarkers in a sample of 246 hospitalized geriatric patients selected for cardiovascular MM from the Report-AGE INRCA database and BioGER INRCA biobank, to evaluate the association with all-cause mortality during 31 days and 12 and 24 months follow-up. Circulating levels of miR-17, miR-126-3p, and some blood parameters, including neutrophil to lymphocyte ratio (NLR) and eGFR, were significantly associated with mortality in these patients. Overall, our results suggest that in a cohort of geriatric hospitalized patients affected by cardiovascular MM, lower circulating miR-17 and miR-126-3p levels could contribute to identify patients at higher risk of short- and medium-term mortality.

Association between natriuretic peptides and C-reactive protein with frailty in heart failure: a systematic review and meta-analysis

BACKGROUND

Heart failure (HF) and frailty are accompanied by a bidirectional relationship, sharing common risk factors including elevated levels of natriuretic peptides and inflammation. The aim of this study was to compare biomarkers associated with poor clinical outcomes, that is, plasma brain natriuretic peptide (BNP), N-terminal-pro B-type natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) in patients with HF and frailty vs. patients with HF without frailty.

METHODS

From inception until July 2023, PubMed, Scopus, Web of Science, and Cochrane Library a systematic literature search was conducted. To evaluate whether frailty is linked with greater levels of BNP, NT-proBNP, and CRP, a meta-analysis using a random-effects model was used to calculate the pooled effects (CRD42023446607).

RESULTS

Fifty-three studies were included in this systematic review and meta-analysis. Patients with HF and frailty displayed significantly higher levels of BNP (k = 11; SMD: 0.53, 95%CI 0.30-0.76, I2 = 86%, P < 0.01), NT-proBNP (k = 23; SMD: 0.33, 95%CI 0.25-0.40, I2 = 72%, P < 0.01), and CRP (k = 8; SMD: 0.30, 95%CI 0.12-0.48, I2 = 62%, P < 0.01) vs. patients with HF without frailty. Using meta-regression, body mass index (BMI) and age were deemed potential moderators of these findings.

CONCLUSIONS

Frailty in HF is linked to increased concentrations of BNP, NT-proBNP, and CRP, which have been epidemiologically associated with adverse outcomes. The increased risk of NYHA III/IV classification further emphasizes the clinical impact of frailty in this population.

Correlation of preoperative frailty with postoperative delirium and one-year mortality in Chinese geriatric patients undergoing noncardiac surgery: Study protocol for a prospective observational cohort study

BACKGROUND

To Frailty is associated with postoperative delirium (POD) but is rarely assessed in patients undergoing noncardiac surgery. In this study, the correlation between preoperative frailty and POD, one-year mortality will be investigated in noncardiac Chinese geriatric surgery patients.

METHODS

This study is a prospective, observational, cohort study conducted at a single center with Chinese geriatric patients. Patients who undergo noncardiac surgery and are older than 70 years will be included. A total of 536 noncardiac surgery patients will be recruited from the First Affiliated Hospital of Shandong First Medical University for this study. The Barthel Index (BI) rating will be used to assess the patient's ability to carry out everyday activities on the 1st preoperative day. The modified frailty index (mFI) will be used to assess frailty. Patients in the nonfrailty group will have an mFI < 0.21, and patients in the frailty group will have an mFI ≥ 0.21. The primary outcome is the incidence of POD. Three-Minute Diagnostic Interview for CAM-defined Delirium (3D-CAM) will be conducted twice daily during the 1st-7th postoperative days, or just before discharge. The secondary outcomes will include one-year mortality, in-hospital cardiopulmonary events, infections, acute renal injury, and cerebrovascular events.

DISCUSSION

This study will clarify the correlation of preoperative frailty with POD and one-year all-cause mortality in Chinese geriatric patients undergoing noncardiac surgery. Can preoperative frailty predict POD or one-year mortality? In the face of China's serious aging social problems, this result may have important clinical value for the surgical treatment of geriatric patients.

TRIAL REGISTRATION

This protocol has been registered with ClinicalTrials. Gov on 12 January 2022 (https://clinicaltrials.gov/ct2/show/NCT05189678).

Unraveling the relationship between high-sensitivity C-reactive protein and frailty: evidence from longitudinal cohort study and genetic analysis

BACKGROUND

This study aimed to investigate the association of high-sensitivity C-reactive protein (hs-CRP) with incident frailty as well as its effects on pre-frailty progression and regression among middle-aged and older adults.

METHODS

Based on the frailty index (FI) calculated with 41 items, 6890 eligible participants without frailty at baseline from China Health and Retirement Longitudinal Study (CHARLS) were categorized into health, pre-frailty, and frailty groups. Logistic regression models were used to estimate the longitudinal association between baseline hs-CRP and incident frailty. Furthermore, a series of genetic approaches were conducted to confirm the causal relationship between CRP and frailty, including Linkage disequilibrium score regression (LDSC), pleiotropic analysis, and Mendelian randomization (MR). Finally, we evaluated the association of hs-CRP with pre-frailty progression and regression.

RESULTS

The risk of developing frailty was 1.18 times (95% CI: 1.03-1.34) higher in participants with high levels of hs-CRP at baseline than low levels of hs-CRP participants during the 3-year follow-up. MR analysis suggested that genetically determined hs-CRP was potentially positively associated with the risk of frailty (OR: 1.06, 95% CI: 1.03-1.08). Among 5241 participants with pre-frailty at baseline, we found pre-frailty participants with high levels of hs-CRP exhibit increased odds of progression to frailty (OR: 1.39, 95% CI: 1.09-1.79) and decreased odds of regression to health (OR: 0.84, 95% CI: 0.72-0.98) when compared with participants with low levels of hs-CRP.

CONCLUSIONS

Our results suggest that reducing systemic inflammation is significant for developing strategies for frailty prevention and pre-frailty reversion in the middle-aged and elderly population.

Impact of geriatric co-management on outcomes in hospitalised cardiology patients aged 85 and over

OBJECTIVE

Cardiovascular disease and frailty are common among the population aged 85+. We hypothesised these patients might benefit from geriatric co-management, as has been shown in other frail patient populations. However, there is limited evidence supporting geriatric co-management in older, hospitalised cardiology patients.

METHODS

A retrospective cohort study was performed in a large teaching hospital in the Netherlands. We compared patients aged 85 and over admitted to the cardiology ward before (control group) and after the implementation of standard geriatric co-management (intervention group). Data on readmission, mortality, length of stay, number of consultations, delirium, and falls were analysed.

RESULTS

The data of 1163 patients were analysed (n = 542 control, n = 621 intervention). In the intervention group, 251 patients did not receive the intervention because of logistic reasons or the treating physician's decision. Baseline characteristics were comparable in the intervention and control groups. Patients in the intervention group had a shorter length of stay (-1 day, p = 0.01) and were more often discharged to a geriatric rehabilitation facility (odds ratio [OR] 1.97, 95% confidence interval [CI] 1.10-3.54, p = 0.02) compared with the control patients. Other outcomes were not significantly different between the groups.

CONCLUSIONS

After implementation of standard geriatric co-management for hospitalised cardiology patients aged 85 and over, the length of hospital stay shortened and the number of patients discharged to a geriatric rehabilitation facility increased. The adherence to geriatric team recommendations was high. Geriatric co-management would appear to optimise care for older hospitalised patients with cardiac disease.

Weak grip strength predicts higher unplanned healthcare utilization among patients with heart failure

AIMS

Frailty increases healthcare utilization and costs for patients with heart failure but is challenging to assess in clinical settings. Hand grip strength (GS) is a single-item measure of frailty yet lacks evidence as a potential screening tool to identify patients at risk of higher unplanned events and related healthcare costs. We examined the association of baseline and longitudinal GS measurements with healthcare utilization and costs among patients with advanced heart failure.

METHODS AND RESULTS

Between July 2017 and April 2019, we enrolled 251 patients with symptoms of advanced heart failure (New York Heart Association class III or IV) in a prospective cohort study in Singapore. We measured GS at baseline and every 4 months for 2 years and linked patients' survey data with their medical and billing records. We categorized patients as having weak GS if their GS measurement was below the 5th percentile of the age- and gender-specific normative GS values in Singapore. We assessed the association between baseline GS and healthcare utilization (unplanned and planned events and healthcare costs, total costs, and length of inpatient stay) over the next 2 years using regression models. We investigated the association between longitudinal 4-monthly GS assessments and the ensuing 4 months of healthcare utilization and costs using mixed-effects logistic and two-part regression models. At baseline, 22.5% of patients had weak GS. Baseline and longitudinal GS measurements were significantly associated with longer length of inpatient stay, greater likelihood of unplanned events, and higher related costs. Patients with weak GS had higher odds of an unplanned event occurring by 8 percentage points [95% confidence interval (CI) (0.01, 0.14), P = 0.026], incurred longer inpatient stays by 4 days [95% CI (1.97, 6.79), P = 0.003], and additional SG$ 4792 [US$ ~ 3594, 95% CI (1894, 7689), P = 0.014] in unplanned healthcare costs over the next 4 months.

CONCLUSIONS

GS is a simple tool to identify and monitor heart failure patients at risk of unplanned events, longer inpatient stays, and higher related healthcare costs. Findings support its routine use in clinical settings.

The Safety and Efficacy of Sodium-Glucose Cotransporter-2 Inhibitors for Patients with Sarcopenia or Frailty: Double Edged Sword?

Sodium-glucose cotransporter-2 inhibitors (SGLT-2is) show cardiovascular protective effects, regardless of the patient's history of diabetes mellitus (DM). SGLT2is suppressed cardiovascular adverse events in patients with type 2 DM, and furthermore, SGLT-2is reduced the risk of worsening heart failure (HF) events or cardiovascular death in patients with HF. Along with these research findings, SGLT-2is are recommended for patients with HF in the latest guidelines. Despite these benefits, the concern surrounding the increasing risk of body weight loss and other adverse events has not yet been resolved, especially for patients with sarcopenia or frailty. The DAPA-HF and DELIVER trials consistently showed the efficacy and safety of SGLT-2i for HF patients with frailty. However, the Rockwood frailty index that derived from a cumulative deficit model was employed for frailty assessment in these trials, which might not be suitable for the evaluation of physical frailty or sarcopenia alone. There is no fixed consensus on which evaluation tool to use or its cutoff value for the diagnosis and assessment of frailty in HF patients, or which patients can receive SGLT-2i safely. In this review, we summarize the methodology of frailty assessment and discuss the efficacy and safety of SGLT-2i for HF patients with sarcopenia or frailty.

What frail, older patients talk about when they talk about self-care-a qualitative study in heart failure care

BACKGROUND

Self-care plays a crucial role in the management of heart failure (HF) and is especially important for older patients who are frail. However, there is limited knowledge about how frail, older patients with HF perceive and experience self-care. Therefore, the aim of this study was to describe the experiences of self-care among frail, older patients with HF.

METHODS

A qualitative descriptive design with semi-structured interviews with frail, older patients diagnosed with HF (n = 19; median age 82 years). Thematic analysis, guided by Braun and Clarke, was used to analyse the data.

RESULTS

Two main themes emerged from the analysis: 1) "To maintain my health," encompassing various aspects such as hygiene practices, engaging in physical activity, medication adherence, following a healthy diet, and ensuring adequate rest; and 2) "To maintain my well-being and happiness," highlighting the importance of hobbies, maintaining independence, participating in social activities, and creating a supportive environment.

CONCLUSION

This study provides valuable insights into the perspectives of frail, older patients with HF regarding self-care. It was observed that older patients often associate self-care with general well-being, hygiene, and happiness. Clear communication between healthcare providers and patients is essential to align different perspectives on self-care and ensure that self-care plans are tailored to individual needs. Moreover, addressing the emotional well-being and happiness of patients should be prioritized, as these factors play a significant role in promoting self-care adherence.

Frailty in Older Patients with Transthyretin Cardiac Amyloidosis

Background-Transthyretin cardiac amyloidosis (ATTR-CA) prevalence increases with age. The interplay between frailty and heart failure has been increasingly recognized. The objective of this study is to compare clinical, biological, and transthoracic echocardiography (TTE) characteristics of older ATTR-CA patients according to the G8 frailty screening tool. Methods-Patients over 75 years old with a confirmed diagnosis of ATTR-CA were included between January 2020 and April 2021. All patients underwent a routine blood test, TTE, and a functional assessment with a six-minute walking distance test (6MWD) or cardiopulmonary exercise testing (CPET), and the G8 score was calculated. Results-Fifty-two patients were included. Thirty-nine (75%) patients were frail and their mean NYHA stage was more severe (2.2 vs. 1.7; p = 0.004); 62% of them had a Gilmore stage of 2 or 3 (p = 0.05). Global left ventricular strain (GLS) was lower (-11.7% vs. -14.9%; p = 0.014) and the interventricular septum was thicker (18 ± 2 mm vs. 17 ± 2 mm; p = 0.033) in frail patients. There were no significant differences according to functional tests. Conclusion-The majority of older patients with ATTR-CA are frail according to the G8 score. They are more symptomatic and have an increased cardiac involvement and a poorer prognosis, requiring more personalized cardiac management.

Gut microbiome and frailty: insight from genetic correlation and mendelian randomization

Observational studies have shown that the gut microbiome is associated with frailty. However, whether these associations underlie causal effects remains unknown. Thus, this study aimed to assess the genetic correlation and causal relationships between the genetically predicted gut microbiome and frailty using linkage disequilibrium score regression (LDSC) and Mendelian Randomization (MR). Summary statistics for the gut microbiome were obtained from a genome-wide association study (GWAS) meta-analysis of the MiBioGen consortium (N = 18,340). Summary statistics for frailty were obtained from a GWAS meta-analysis, including the UK Biobank and TwinGene (N = 175,226). We used LDSC and MR analyses to estimate the genetic correlation and causality between the genetically predicted gut microbiome and frailty. Our findings indicate a suggestive genetic correlation between Christensenellaceae R-7 and frailty. Moreover, we found evidence for suggestive causal effects of twelve genus-level gut microbes on frailty using at least two MR methods. There was no evidence of horizontal pleiotropy or heterogeneity in the MR analysis. This study provides suggestive evidence for a potential genetic correlation and causal association between several genetically predicted gut microbes and frailty. More population-based observational studies and animal experiments are required to clarify this association and the underlying mechanisms.

Predicting mortality and re-hospitalization for heart failure: a machine-learning and cluster analysis on frailty and comorbidity

BACKGROUND

Machine-learning techniques have been recently utilized to predict the probability of unfavorable outcomes among elderly patients suffering from heart failure (HF); yet none has integrated an assessment for frailty and comorbidity. This research seeks to determine which machine-learning-based phenogroups that incorporate frailty and comorbidity are most strongly correlated with death or readmission at hospital for HF within six months following discharge from hospital.

METHODS

In this single-center, prospective study of a tertiary care center, we included all patients aged 65 and older discharged for acute decompensated heart failure. Random forest analysis and a Cox multivariable regression were performed to determine the predictors of the composite endpoint. By k-means and hierarchical clustering, those predictors were utilized to phenomapping the cohort in four different clusters.

RESULTS

A total of 571 patients were included in the study. Cluster analysis identified four different clusters according to frailty, burden of comorbidities and BNP. As compared with Cluster 4, we found an increased 6-month risk of poor outcomes patients in Cluster 1 (very frail and comorbid; HR 3.53 [95% CI 2.30-5.39]), Cluster 2 (pre-frail with low levels of BNP; HR 2.59 [95% CI 1.66-4.07], and in Cluster 3 (pre-frail and comorbid with high levels of BNP; HR 3.75 [95% CI 2.25-6.27])).

CONCLUSIONS

In older patients discharged for ADHF, the cluster analysis identified four distinct phenotypes according to frailty degree, comorbidity, and BNP levels. Further studies are warranted to validate these phenogroups and to guide an appropriate selection of personalized, model of care.

Prevalence and risk factors of frailty in older patients with chronic heart failure: a systematic review and meta-analysis

AIM

To provide a summary of the available evidence concerning prevalence and risk factors of frailty in elderly patients with CHF.

METHODS

PubMed, Embase, Web of Science, CINAHL, The Cochrane Library, China National Knowledge Infrastructure Database (CNKI), Chinese Biomedical Database (Sinomed), Weipu Database (VIP), and Wanfang database were searched from inception to July 2023. This study strictly followed the PRISMA guidelines. The quality of the included studies was rated by the Agency for Healthcare and Research and Quality and the Newcastle-Ottawa Scale.

RESULTS

A total of 21 original studies were included, involving 4,797 patients. Meta-analysis results showed that the prevalence of frailty in older patients with heart failure was 38% (95%CI: 0.32-0.44). Age, cardiac function grading, left atrial diameter, left ventricular ejection fraction, hemoglobin, polypharmacy, BNP, nutritional risk, and hospitalization day are the influential factors of frailty in older patients with CHF.

CONCLUSION

The prevalence of frailty in older patients with CHF is high, and clinical medical personnel should identify and intervene early to reduce or delay the frailty in older patients with CHF as much as possible.

Gender-specific linkages: frailty, polypharmacy, anti-cholinergic burden, and 5-year mortality risk-a real-world analysis

Background

With higher age, frailty escalates the risk of falls, unexpected physical dysfunction, hospitalization, and mortality. Polypharmacy in the older population is a major challenge that not only increases medical costs, but also may worsen the risk of hospitalization and death. More importantly, the properties of anti-cholinergic drugs contribute various negative effects. This study aimed to investigate the sex difference in the association of polypharmacy, anticholinergic burden, and frailty with mortality.

Methods

Participants older than 65 years who attended the geriatric outpatient clinic of the study center between January 2015 and July 2020 were invited to participate in this retrospective study. Comprehensive geriatric assessment data were collected and the phenotype of frailty was determined by Fried's criteria. Cox regression and the Kaplan-Meier curve were used to identify risk factors of 5-year survival along with intergroup differences in the risks.

Results

Of the 2,077 participants, 47.5% were female. The prevalence of frailty and the rate of polypharmacy were 44.7% and 60.6%, respectively. Higher age, male sex, low body mass index, low Mini-Mental State Examination scores, low activities of daily living, frailty status, polypharmacy, and a high Charlson Comorbidity Index score, and greater anticholinergic burden were significant risk factors that were associated with the 5-year all-cause mortality. Male patients with frailty exhibited the highest risks of mortality compared with male patients without frailty and female patients with or without frailty. Polypharmacy was significantly associated with a higher 5-year mortality rate in the frail male group compared with the non-frail male. In frail female group, individuals with a higher anticholinergic burden (as indicated by the Anticholinergic Cognitive Burden Scale) from drug usage exhibited an elevated 5-year mortality rate.

Conclusions

Polypharmacy and greater anticholinergic burden, synergistically interacted with frailty and intensified the 5-year mortality risk in a gender-specific manner. To mitigate mortality risks, clinicians should prudently identify polypharmacy and anticholinergic burden in the older population.

Frailty and Its Implications in Heart Failure with Reduced Ejection Fraction: Impact on Prognosis and Treatment

Frailty affects half of all patients with heart failure with reduced ejection fraction (HFrEF) and carries a ∼2-fold increased risk of mortality. The relationship between frailty and HFrEF is bidirectional, with one condition exacerbating the other. Paradoxical to their higher clinical risk, frail patients with HFrEF are more often under-treated due to concerns over medication-related adverse clinical events. However, current evidence suggests consistent safety of HF medical therapies among older frail patients with HFrEF. A multidisciplinary effort is necessary for the appropriate management of these high-risk patients which focuses on the optimization of known beneficial therapies with a goal-directed effort toward improving quality of life.

Optimisation of treatments for heart failure with reduced ejection fraction in routine practice: a position statement from a panel of experts

Major international practice guidelines recommend the use of a combination of 4 medication classes in the treatment of patients with heart failure with reduced ejection fraction (HFrEF) but do not specify how these treatments should be introduced and up-titrated. Consequently, many patients with HFrEF do not receive an optimized treatment regimen. This review proposes a pragmatic algorithm for treatment optimization designed to be easily applied in routine practice. The first goal is to ensure that all 4 recommended medication classes are initiated as early as possible to establish effective therapy, even at a low dose. This is considered preferable to starting fewer medications at a maximum dose. The second goal is to ensure that the intervals between the introduction of different medications and between different titration steps are as short as possible to ensure patient safety. Specific proposals are made for older patients (> 75 years) who are frail, and for those with cardiac rhythm disorders. Application of this algorithm should allow an optimal treatment protocol to be achieved within 2-months in most patients, which should the treatment goal in HFrEF.

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.

Heart Failure in the Elderly: the Role of Biological and Sociocultural Aspects Related to Sex

PURPOSE OF REVIEW

Heart failure (HF) entails poor prognosis, with high morbidity and mortality burden, particularly in elderly patients. Notably, important sex differences have been described between men and women with HF. In this regard, some biological and sociocultural aspects related to sex may play a key role in the different development and prognosis of HF in elderly men and women.

RECENT FINDINGS

Important differences between men and women with HF, especially in the elderly population, have been specifically addressed in recent studies. Consequently, specific differences in biological and sociocultural aspects have been found to associate differences in pathophysiology, baseline clinical profile, and prognosis according to sex. Moreover, differences in comorbidities and frailty and other geriatric conditions, frequent in elderly population with HF, have also been described. Biological and sociocultural differences related to sex are key in the different clinical presentation and prognosis of heart failure in elderly women. Further studies will be required to better understand some other underlying reasons that may differently impact prognosis in elderly patients with HF.

Association between co-exposure to phenols, phthalates, and polycyclic aromatic hydrocarbons with the risk of frailty

The phenomenon of population aging has brought forth the challenge of frailty. Nevertheless, the contribution of environmental exposure to frailty remains ambiguous. Our objective was to investigate the association between phenols, phthalates (PAEs), and polycyclic aromatic hydrocarbons (PAHs) with frailty. We constructed a 48-item frailty index using data from the National Health and Nutrition Examination Survey (NHANES). The exposure levels of 20 organic contaminants were obtained from the survey circle between 2005 and 2016. The association between individual organic contaminants and the frailty index was assessed using negative binomial regression models. The combined effect of organic contaminants was examined using weighted quantile sum (WQS) regression. Dose-response patterns were modeled using generalized additive models (GAMs). Additionally, an interpretable machine learning approach was employed to develop a predictive model for the frailty index. A total of 1566 participants were included in the analysis. Positive associations were observed between exposure to MIB, P02, ECP, MBP, MHH, MOH, MZP, MC1, and P01 with the frailty index. WQS regression analysis revealed a significant increase in the frailty index with higher levels of the mixture of organic contaminants (aOR, 1.12; 95% CI, 1.05-1.20; p < 0.001), with MIB, ECP, COP, MBP, P02, and P01 identified as the major contributors. Dose-response relationships were observed between MIB, ECP, MBP, P02, and P01 exposure with an increased risk of frailty (both with p < 0.05). The developed predictive model based on organic contaminants exposure demonstrated high performance, with an R2 of 0.9634 and 0.9611 in the training and testing sets, respectively. Furthermore, the predictive model suggested potential synergistic effects in the MIB-MBP and P01-P02 pairs. Taken together, these findings suggest a significant association between exposure to phthalates and PAHs with an increased susceptibility to frailty.

Sex differences in the impact of physical frailty on outcomes in heart failure

BACKGROUND

Physical frailty is strongly related to adverse outcomes in heart failure (HF), and women are more likely to be physically frail than men; however, it is unknown if this sex difference affects outcomes.

OBJECTIVES

To determine if there are sex differences in the associations between physical frailty and health-related quality of life (HRQOL) and clinical outcomes in HF.

METHODS

We conducted a prospective study of adults with HF. Physical frailty was assessed using the Frailty Phenotype Criteria. HRQOL was assessed using the Minnesota Living with HF Questionnaire. One-year clinical events (all-cause death or cardiovascular hospitalization or emergency department visit) were ascertained. We used generalized linear modeling to quantify associations between physical frailty and HRQOL, and Cox proportional hazards modeling to quantify associations between physical frailty and clinical events, adjusting for Seattle HF Model scores.

RESULTS

The sample (n = 115) was 63.5 ± 15.7 years old and 49% women. Physical frailty was associated with significantly worse total HRQOL among women (p = 0.005) but not men (p = 0.141). Physical frailty was associated with worse physical HRQOL among both women (p < 0.001) and men (p = 0.043). There was a 46% higher clinical event risk for every one-point increase in physical frailty score among men (p = 0.047) but not women (p = 0.361).

CONCLUSIONS

Physical frailty is associated with worse overall HRQOL among women and higher clinical event risk among men, indicating a need to better understand contributors to sex-specific health differences associated with physical frailty in HF.

The Effect of the Drug-Related Problems Prevention Bundle on Early Readmissions in Patients From the Emergency Department: A Randomized Clinical Trial

BACKGROUND

Drug-related problems (DRPs) are prevalent and avoidable disease that patients experience due to drug use or nonuse. However, secondary prevention policies have not yet been systematized.

OBJECTIVE

To assess the clinical impact of a secondary prevention bundle for DRPs in patients who visited the emergency department (ED) for medicine-related problems.

METHODS

A single-center randomized clinical trial was conducted from August 28, 2019, to January 28, 2021, with 1-month follow-up. We included 769 adult patients who visited ED with a DRP associated with cardiovascular, alimentary tract, and metabolic system medications. For the intervention group, a DRP prevention bundle, consisting of a combined strategy initiated in the ED was applied. Patients in the control group received standard pharmaceutical care. Intervention was evaluated in terms of 30-day hospital readmission due to any cause.

RESULTS

Final analysis included 769 patients, of which 68 (8.8%) were readmitted within 30 days (control group, 40 of 386 [cumulative incidence: 10.4%]; intervention group, 28 of 383 [cumulative incidence, 7.3%]). After adjustment of the model for chronic heart failure, there was a lower incidence of hospital readmission among patients in the intervention group compared with those in the control group, odds ratio: 0.59 [95% confidence interval: 0.37-0.97]; number needed to treat (NNT) = 32. No significant differences in other outcomes were observed.

CONCLUSION AND RELEVANCE

In this clinical trial, DRP prevention bundle in adjusted analysis decreased the rate of 30-day hospital readmission for any cause in patients who visited ED for a DRP.

TRIAL REGISTRATION

ClinicalTrials.gov (Identifier: NCT03607097).

The Co-Design/Co-Development and Evaluation of an Online Frailty Check Application for Older Adults: Participatory Action Research with Older Adults

Frailty is an age-related condition characterized by a decline in physical capacity with an increased vulnerability to stressors. During the COVID-19 pandemic, there was considerable progression in frailty in older adults. Therefore, an online frailty check (FC) is required for continuous screening, especially acceptable to older adults. We aimed to co-design/co-develop an online FC application with FC supporters who were facilitators in a pre-existing onsite FC program in the community. It consisted of a self-assessment of sarcopenia and an 11-item questionnaire assessing dietary, physical, and social behaviors. Opinions obtained from FC supporters (median 74.0 years) were categorized and implemented. The usability was assessed using the system usability scale (SUS). For both FC supporters and participants (n = 43), the mean score was 70.2 ± 10.3 points, which implied a "marginally high" acceptability and a "good" adjective range. Multiple regression analysis showed that the SUS score was significantly correlated with onsite-online reliability, even after adjusting for age, sex, education level, and ICT proficiency (b = 0.400, 95% CI: 0.243-1.951, p = 0.013). We also validated the online FC score, which showed a significant association between onsite and online FC scores (R = 0.670, p = 0.001). In conclusion, the online FC application is an acceptable and reliable tool to check frailty for community-dwelling older adults.

Hand Grip Strength Predicts Mortality and Quality of Life in Heart Failure: Insights From the Singapore Cohort of Patients With Advanced Heart Failure

BACKGROUND

Frailty is prevalent among patients with heart failure (HF) and is associated with increased mortality rates and worse patient-centered outcomes. Hand grip strength (GS) has been proposed as a single-item marker of frailty and a potential screening tool to identify patients most likely to benefit from therapies that target frailty so as to improve quality of life (QoL) and clinical outcomes. We assessed the association of longitudinal decline in GS with all-cause mortality and QoL. Decline in GS is associated with increased risk of all-cause mortality and worse overall and domain-specific (physical, functional, emotional, social) QoL among patients with advanced HF.

METHODS

We used data from a prospective, observational cohort of patients with New York Heart Association class III or IV HF in Singapore. Patients' overall and domain-specific QoL were assessed, and GS was measured every 4 months. We constructed a Kaplan-Meier plot with GS at baseline dichotomized into categories of weak (≤ 5th percentile) and normal (> 5th percentile) based on the GS in a healthy Singapore population of the same sex and age. Missing GS measurements were imputed using chained equations. We jointly modeled longitudinal GS measurements and survival time, adjusting for comorbidities. We used mixed effects models to evaluate the associations between GS and QoL.

RESULTS

Among 251 patients (mean age 66.5 ± 12.0 years; 28.3% female), all-cause mortality occurred in 58 (23.1%) patients over a mean follow-up duration of 3.0 ± 1.3 years. Patients with weak GS had decreased survival rates compared to those with normal GS (log-rank P = 0.033). In the joint model of longitudinal GS and survival time, a decrease of 1 unit in GS was associated with a 12% increase in rate of mortality (hazard ratio: 1.12; 95% confidence interval: 1.05-1.20; P = < 0.001). Higher GS was associated with higher overall QoL (β (SE) = 0.36 (0.07); P = < 0.001) and higher domain-specific QoL, including physical (β [SE] = 0.13 [0.03]; P = < 0.001), functional (β [SE] = 0.12 [0.03]; P = < 0.001), and emotional QoL (β [SE] = 0.08 [0.02]; P = < 0.001). Higher GS was associated with higher social QoL, but this was not statistically significant (β [SE] = 0.04 [0.03]; P = 0.122).

CONCLUSIONS

Among patients with advanced HF, longitudinal decline in GS was associated with worse survival rates and QoL. Further studies are needed to evaluate whether incorporating GS into patient selection for HF therapies leads to improved survival rates and patient-centered outcomes.

Subjective Assessment Underestimates Fraility in Patients With Heart Failure Referred for Advanced Therapies

Assessment of frailty is key for evaluation for advanced therapies (ATs). Most programs use a subjective provider assessment (SPA) or "eye-ball" test; however, objective measures exist. The modified five-item Fried Frailty Index (mFFI) is a validated tool to assess frailty. We compared SPA to mFFI testing in patients referred for AT. We also compared levels of macrophage migration inhibitory factor (MIF), an inflammatory biomarker associated with worse outcomes in heart failure, between frail and not frail subjects. Seventy-eight patients referred for evaluation for AT underwent both SPA and mFFI testing. Three cardiac surgeons independently assessed patients for frailty (SPA). SPA significantly underestimated frailty compared with mFFI testing and correlation between SPA and mFFI was not strong (κ = 0.02-0.14). Providers were correct 84% of the time designating a subject as frail, but only 40% of the time designating as not frail. Agreement between all three providers was robust (76%), which was primarily driven by designation as not frail. There was no significant difference in plasma MIF levels between frail and not frail subjects (47.6 ± 25.2 vs . 45.2 ± 18.9 ng/ml; p = 0.6). Clinicians significantly underestimate frailty but are usually correct when designating a patient as frail.

Frailty in hypertensive population and its association with all-cause mortality: data from the National Health and Nutrition Examination Survey

Objectives

This study aimed to investigate the relationship between frailty and all-cause mortality in hypertensive population.

Methods

We used data from the National Health and Nutrition Examination Survey (NHANES) 1999-2002 and mortality data from the National Death Index. Frailty was assessed using the revised version of the Fried frailty criteria (weakness, exhaustion, low physical activity, shrinking, and slowness). This study aimed to evaluate the association between frailty and all-cause mortality. Cox proportional hazard models were used to evaluate the association between frailty category and all-cause mortality, adjusted for age, sex, race, education, poverty-income ratio, smoking, alcohol, diabetes, arthritis, congestive heart failure, coronary heart disease, stroke, overweight, cancer or malignancy, chronic obstructive pulmonary disease, chronic kidney disease, and taking medicine for hypertension.

Results

We gathered data of 2,117 participants with hypertension; 17.81%, 28.77%, and 53.42% were classified as frail, pre-frail, and robust, respectively. We found that frail [hazard ratio (HR) = 2.76, 95% confidence interval (CI) = 2.33-3.27] and pre-frail (HR = 1.38, 95% CI = 1.19-1.59] were significantly associated with all-cause mortality after controlling for variables. We found that frail (HR = 3.02, 95% CI = 2.50-3.65) and pre-frail (HR = 1.35, 95% CI = 1.15-1.58) were associated with all-cause mortality in the age group ≥65 years. For the frailty components, weakness (HR = 1.77, 95% CI = 1.55-2.03), exhaustion (HR = 2.25, 95% CI = 1.92-2.65), low physical activity (HR = 2.25, 95% CI = 1.95-2.61), shrinking (HR = 1.48, 95% CI = 1.13-1.92), and slowness (HR = 1.44, 95% CI = 1.22-1.69) were associated with all-cause mortality.

Conclusion

This study demonstrated that frailty and pre-frailty were associated with an increased risk of all-cause mortality in patients with hypertension. More attention should be paid to frailty in hypertensive patients, and interventions to reduce the burden of frailty may improve outcomes in these patients.

Mortality Risks after Two Years in Frail and Pre-Frail Older Adults Admitted to Hospital

BACKGROUND

Frailty is characterized by a progressive decline in the physiological functions of multiple body systems that lead to a more vulnerable condition, which is prone to the development of various adverse events, such as falls, hospitalization, and mortality. This study aims to determine whether frailty increases mortality compared to pre-frailty and to identify variables associated with a higher risk of mortality.

MATERIALS

Two cohorts, frail and pre-frail subjects, are evaluated according to the Fried phenotype. A complete examination of frailty, cognitive status, comorbidities and pharmacology was carried out at hospital admission and was extracted through electronic health record (EHR). Mortality was evaluated from the EHR.

METHODS

Kaplan-Meier estimates of survival probability functions were calculated at two years censoring time for frail and pre-frail cohorts. The log-rank test assessed significant differences between survival probability functions. Significant variables for frailty (p < 0-05) were extracted by independent sample t-test. Further selection was based on variable significance found in multivariate logistic regression discrimination between frail and pre-frail subjects. Cox regression over univariate t-test-selected variables was calculated to identify variables associated with higher proportional hazard risks (HR) at two years.

RESULTS

Frailty is associated with greater mortality at two years censoring time than pre-frailty (log-rank test, p < 0.0001). Variables with significant (p < 0.05) association with mortality identified in both cohorts (HR 95% (CI in the frail cohort) are male sex (0.44 (0.29-0.66)), age (1.05 (1.01-1.09)), weight (0.98 (0.96-1.00)), and use of proton-pump inhibitors (PPIs) (0.60 (0.41-0.87)). Specific high-risk factors in the frail cohort are readmission at 30 days (0.50 (0.33-0.74)), SPPB sit and stand (0.62 (0.45-0.85)), heart failure (0.67 (0.46-0.98)), use of antiplatelets (1.80 (1.19-2.71)), and quetiapine (0.31 (0.12-0.81)). Specific high-risk factors in the pre-frail cohort are Barthel's score (120 (7.7-1700)), Pfeiffer test (8.4; (2.3-31)), Mini Nutritional Assessment (MNA) (1200 (18-88,000)), constipation (0.025 (0.0027-0.24)), falls (18,000 (150-2,200,000)), deep venous thrombosis (8400 (19-3,700,000)), cerebrovascular disease (0.01 (0.00064-0.16)), diabetes (360 (3.4-39,000)), thyroid disease (0.00099 (0.000012-0.085)), and the use of PPIs (0.062 (0.0072-0.54)), Zolpidem (0.000014 (0.0000000021-0.092)), antidiabetics (0.00015 (0.00000042-0.051)), diuretics (0.0003 (0.000004-0.022)), and opiates (0.000069 (0.00000035-0.013)).

CONCLUSIONS

Frailty is associated with higher mortality at two years than pre-frailty. Frailty is recognized as a systemic syndrome with many links to older-age comorbidities, which are also found in our study. Polypharmacy is strongly associated with frailty, and several commonly prescribed drugs are strongly associated with increased mortality. It must be considered that frail patients need coordinated attention where the diverse specialist taking care of them jointly examines the interactions between the diversity of treatments prescribed.

The role of frailty in advanced HF and cardiac transplantation

Frailty is a complex, multi-system condition often associated with multimorbidity. It has become an important prognostic maker across a range of conditions and is particularly relevant in patients with cardiovascular disease. Frailty encompasses a range of domains including, physical, psychological, and social. There are currently a range of validated tools available to measure frailty. It is an especially important measurement in advanced HF, because frailty occurs in up to 50% of HF patients and is potentially reversible with therapies such as mechanical circulatory support and transplantation. Moreover, frailty is dynamic, and therefore serial measurements are important. This review delves into the measurement of frailty, mechanisms, and its role in different cardiovascular cohorts. Understanding frailty will help determine patients that will benefit from therapies, as well as prognosticate outcomes.

Relationships of Whole-Heart Myocardial Mechanics and Cardiac Morphometrics by Transthoracic Echocardiography with Main Prognostic Factors of Heart Failure in Non-Ischemic Dilated Cardiomyopathy

BACKGROUND

there are many prognostic factors of heart failure (HF) based on their evaluation from imaging, to laboratory tests. In clinical practice, it is crucial to use widely available, cheap, and easy-to-use prognostic factors, such as left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) functional class, 6 min walk test (6MWT), B-type natriuretic peptide (BNP), etc. We sought to evaluate the relationships between whole-heart myocardial mechanics and cardiac morphometrics with the main commonly used prognostic factors of HF in patients with non-ischemic dilated cardiomyopathy (NIDCM).

METHODS AND RESULTS

two-dimensional (2D) echocardiography for myocardial mechanics (global longitudinal, radial, and circumferential strains of the left ventricle; right ventricular longitudinal strain; strain values of reservoir, conduit, and contraction function of both atria) and cardiac morphometric (diameters and volumes of both atria and ventricles) parameters were performed, and the HF main traditional prognostic factors were identified. We assessed 109 patients (68.8% male; 49.7 ± 10.5 years) with newly diagnosed NIDCM. Myocardial mechanics and morphometrics were weakly correlated with the patient's age, gender, and smoking (R = 0.2, p < 0.05). Stronger relationships were observed with NYHA class, 6MWT, and BNP (the strongest correlations were with LVEF: R = -0.499, R 0.462, R = -0.461, p < 0.001, respectively). There were moderately strong correlations with LVEF and other whole-heart myocardial mechanics or morphometrics. Moreover, LVEF with global regurgitation volume (GRV) and right ventricle free wall longitudinal strain (RVFWLS) were the most usually detected parameters in multivariate analysis to be associated with changes in HF prognostic factors.

CONCLUSIONS

in NIDCM patients, the main prognostic factors of HF are correlated with whole-heart myocardial mechanics and morphometrics. However, LVEF, GRV, and RVFWLS are the most usually found 2D echocardiographic factors associated with changes in HF prognostic factors.

Feasibility and safety of 1-min sit-to-stand test in acute decompensated heart failure confirmed by lung ultrasound

Aim

This study innovatively proposed the 1-min sit-to-stand test (1-min STST) as an assessment tool for functional capacity in acute decompensated heart failure (ADHF), in which its feasibility and safety were investigated.

Methods

This was a prospective, single-center cohort study. The 1-min STST was performed after the first 48 h of admission when vital signs and Borg score were collected. Lung ultrasound was used to measure pulmonary edema by B-lines before and after the test.

Results

Seventy-five patients were enrolled in the study, of whom 40% were in functional class IV on admission. The mean age was 58.3 ± 15.7 years and 40% of the patients were male. 95% patients accomplished the test and the average number of repetitions was 18 ± 7. No adverse event was recorded during or after the 1-min STST. Blood pressure, heart rate, and degree of dyspnea were increased after the test (all p &lt; 0.001), while oxygen saturation was slightly decreased (97.0 ± 1.6 vs. 96.3 ± 2.0%, p = 0.003). The degree of pulmonary edema (χ2 = 8.300, p = 0.081) was not significantly changed, while there was a reduction in the absolute number of B-lines [9 (3, 16) vs. 7 (3, 13), p = 0.008].

Conclusion

The application of the 1-min STST in early stage of ADHF appeared to be safe and feasible, which induce neither adverse event nor pulmonary edema. It may serve as a new tool of functional capacity assessment, as well as a reference of exercise rehabilitation.

Plasma Galectin-3 and H-FABP correlate with poor physical performance in patients with congestive heart failure

Heart failure (HF) is often associated with compromised physical capacity in patients. However, it is unclear if established HF markers correlate with the physical performance of patients with congestive HF (CHF). We assessed the left ventricular end-systolic dimension (LVESD) and ejection fraction (LVEF) and, physical performance parameters, including short physical performance battery (SPPB), gait speed (GS), and handgrip strength (HGS) in 80 patients with CHF along with 59 healthy controls. Furthermore, levels of plasma HF markers galectin-3 and heart-specific fatty acid binding protein (H-FABP) were measured in relation to the severity of HF and physical performance. Irrespective of etiology, significantly greater LVESD and lower LVEF were observed in HF patients versus controls. As expected, the levels of HF markers galectin-3 and H-FABP were upregulated in the CHF patients which were accompanied by significantly elevated levels of plasma zonulin and inflammatory marker C-reactive protein (CRP). The SPPB scores, GS, and HGS were significantly lower in the ischemic and non-ischemic HF patients than controls. The level of galectin-3 was inversely correlated with SPPB scores (r2 = 0.089, P = 0.01) and HGS (r2 = 0.078, P = 0.01). Similarly, H-FABP levels were also inversely correlated with SPPB scores (r2 = 0.06, P = 0.03) and HGS (r2 = 0.109, P = 0.004) in the patients with CHF. Taken together, CHF adversely affects physical performance, and galectin-3 and H-FABP may serve as biomarkers of physical disability in patients with CHF. The robust correlations of galectin-3 and H-FABP with the physical performance parameters and CRP in CHF patients suggest that the poor physical performance may partly be caused due to systemic inflammation.

Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase

The influence of nutritional factors on frailty syndrome is still poorly understood. Thus, we aimed to confirm cross-sectional associations of diet-related blood biomarker patterns with frailty and pre-frailty statuses in 1271 older adults from four European cohorts. Principal component analysis (PCA) was performed based on plasma levels of α-carotene, β-carotene, lycopene, lutein + zeaxanthin, β-cryptoxanthin, α-tocopherol, γ-tocopherol and retinol. Cross-sectional associations between biomarker patterns and frailty status, according to Fried's frailty criteria, were assessed by using general linear models and multinomial logistic regression models as appropriate with adjustments for the main potential confounders. Robust subjects had higher concentrations of total carotenoids, β-carotene and β-cryptoxanthin than frail and pre-frail subjects and had higher lutein + zeaxanthin concentrations than frail subjects. No associations between 25-Hydroxyvitamin D3 and frailty status were observed. Two distinct biomarker patterns were identified in the PCA results. The principal component 1 (PC1) pattern was characterized by overall higher plasma levels of carotenoids, tocopherols and retinol, and the PC2 pattern was characterized by higher loadings for tocopherols, retinol and lycopene together and lower loadings for other carotenoids. Analyses revealed inverse associations between PC1 and prevalent frailty. Compared to participants in the lowest quartile of PC1, those in the highest quartile were less likely to be frail (odds ratio: 0.45, 95% CI: 0.25-0.80, p = 0.006). In addition, those in the highest quartile of PC2 showed higher odds for prevalent frailty (2.48, 1.28-4.80, p = 0.007) than those in the lowest quartile. Our findings strengthen the results from the first phase of the FRAILOMIC project, indicating carotenoids are suitable components for future biomarker-based frailty indices.

Prevalence and prognosis of frailty in older patients with stage B heart failure with preserved ejection fraction

AIMS

Frailty in older patients with stage B heart failure with preserved ejection fraction (HFpEF) has not been fully explored. We evaluated the prevalence and prognostic significance of frailty in older patients diagnosed with stage B HFpEF.

METHODS

Our prospective cohort study included inpatients aged ≥65 years who were followed up for 3 years. Stage B HFpEF was defined as cardiac structural or functional abnormalities with a left ventricular ejection fraction (LVEF) ≥ 50% without signs or symptoms. Frailty was assessed using the Fried phenotype. The primary outcome was 3-year all-cause mortality or readmission.

RESULTS

Overall, 520 older inpatients diagnosed with stage B HFpEF [mean ± standard deviation age: 75.5 ± 6.25 years, male: 222 (42.7%)] were included in the study. Of these, 145 (27.9%) were frail. Frail patients were older (78.5 ± 6.23 vs. 74.3 ± 6.22 years, P < 0.001), with a lower body mass index (24.6 ± 3.60 vs. 25.7 ± 3.27 kg/m² , P = 0.001), higher level of N-terminal pro-B-type natriuretic peptide [279 (interquartile range: 112.4, 596) vs. 140 (67.1, 266) pg/mL, P < 0.001], longer timed up-and-go test result (19.9 ± 9.71 vs. 13.3 ± 5.08 s, P < 0.001), and poorer performance in the short physical performance battery (4.1 ± 3.26 vs. 8.2 ± 2.62, P < 0.001), basic activities of daily living (BADL, 4.7 ± 1.71 vs. 5.7 ± 0.57, P < 0.001), and instrumental activities of daily living (IADL, 4.4 ± 2.73 vs. 7.4 ± 1.33, P < 0.001). Frail patients were more likely to have a Mini-Mental State Examination (MMSE) score <24 (55.9% vs. 28.8%, P < 0.001) and take more than five medications (64.1% vs. 47.2%, P = 0.001). Frail patients had a higher incidence of all-cause mortality or readmission (62.8% vs. 47.7%, P = 0.002), all-cause readmission (56.6% vs. 45.9%, P = 0.029), and readmission for non-heart failure (55.2% vs. 41.3%, P = 0.004) during the 3-year follow-up, with a 1.53-fold (95%CI 1.11-2.11, P = 0.009) higher risk of all-cause mortality or readmission, a 1.52-fold (95%CI 1.09-2.11, P = 0.014) higher risk of all-cause readmission, and a 1.70-fold (95%CI 1.21-2.38, P = 0.002) higher risk of readmission for non-clinical heart failure, adjusted for sex, age, polypharmacy, Athens Insomnia Scale, MMSE, LVEF, BADL, and IADL.

CONCLUSIONS

Frailty is common in elderly patients with stage B HFpEF. Physical frailty, particularly low physical activity, can independently predict the long-term prognosis in these patients.

Frailty as a predictor of neurosurgical outcomes in brain tumor patients: A systematic review and meta-analysis

BACKGROUND

Patients with frailty are at a high risk of poor health outcomes, and frailty has been explored as a predictor of adverse events, such as perioperative complications, readmissions, falls, disability, and mortality in the neurosurgical literature. However, the precise relationship between frailty and neurosurgical outcomes in patients with brain tumor has not been established, and thus evidence-based advancements in neurosurgical management. The objectives of this study are to describe existing evidence and conduct the first systematic review and meta-analysis of the relationship between frailty and neurosurgical outcomes among brain tumor patients.

METHODS

Seven English databases and four Chinese databases were searched to identify neurosurgical outcomes and the prevalence of frailty among patients with a brain tumor, with no restrictions on the publication period. According to the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, two independent reviewers employed the Newcastle-Ottawa scale in cohort studies and JBI Critical Appraisal Checklist for Cross-sectional Studies to evaluate the methodological quality of each study. Then random-effects or fixed-effects meta-analysis was used in combining odds ratio (OR) or hazard ratio (RR) for the categorical data and continuous data of neurosurgical outcomes. The primary outcomes are mortality and postoperative complications, and secondary outcomes include readmission, discharge disposition, length of stay (LOS), and hospitalization costs.

RESULTS

A total of 13 papers were included in the systematic review, and the prevalence of frailty ranged from 1.48 to 57%. Frailty was significantly associated with increased risk of mortality (OR = 1.63; CI = 1.33-1.98; p < 0.001), postoperative complications (OR = 1.48; CI = 1.40-1.55; p < 0.001; I ² = 33%), nonroutine discharge disposition to a facility other than home (OR = 1.72; CI = 1.41-2.11; p < 0.001), prolonged LOS (OR = 1.25; CI = 1.09-1.43; p = 0.001), and high hospitalization costs among brain tumor patients. However, frailty was not independently associated with readmission (OR = 0.99; CI = 0.96-1.03; p = 0.74).

CONCLUSION

Frailty is an independent predictor of mortality, postoperative complications, nonroutine discharge disposition, LOS, and hospitalization costs among brain tumor patients. In addition, frailty plays a significant potential role in risk stratification, preoperative shared decision making, and perioperative management.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42021248424.

Transitions in Frailty and 4-Year Mortality Risk in Taiwan Longitudinal Study on Aging

OBJECTIVES

To explore the associations of (1) the frailty phenotype or frailty index transition with cause-specific mortality, and (2) different combinations of transition in frailty phenotype and frailty index with all-cause mortality.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Data from 3529 respondents aged >50 years who completed the 1999 and 2003 surveys of the Taiwan Longitudinal Study on Aging were analyzed.

METHODS

Cox regression and subdistribution hazard models were constructed to investigate frailty phenotype or frailty index transitions (by categories of frailty phenotype, absolute and percentage changes in frailty index, and combined categories of the 2 measurements) and subsequent 4-year all-cause and cause-specific mortality, respectively.

RESULTS

Among the frailty phenotype transition groups, the improved frailty group had overall mortality risk comparable to that of the maintained robustness/prefrailty group [hazard ratio (HR): 0.9; 95% CI: 0.7-1.2] and lower risk of mortality due to organ failure (HR: 0.4; 95% CI: 0.2-0.8; P = .015), whereas the worsened frailty group had the highest risk of all-cause mortality and death from infection, malignancy, cardiometabolic/cerebrovascular diseases, and other causes (HR: 1.8-3.7; all P < .03). The rapidly increased frailty index group had significantly higher all-cause and every cause-specific mortality than the decreased frailty index group (HR: 1.8-7.7; all P < .05). When frailty phenotype and frailty index transition groups were combined, participants with worsened frailty/rapidly increased frailty index had increased risk under the same frailty index/frailty phenotype transition condition, particularly for large changes in each factor (HR: 1.5-2.2; P < .01 for worsened frailty; 1.7-4.5, P < .03 for rapidly increased frailty index).

CONCLUSIONS AND IMPLICATIONS

We found that considering both frailty phenotype and frailty index provided best mortality prediction. These associations were independent of baseline frailty status and comorbidities. Nevertheless, even capturing transitions in frailty phenotype or frailty index only can provide good mortality prediction, which supported adopting these approaches in different clinical settings.

Can frailty in conjunction with FRAX identify additional women at risk of fracture - a longitudinal cohort study of community dwelling older women

BACKGROUND

Fracture risk assessment is still far from perfect within the geriatric population. The overall aim of this study is to better identify older women at risk for fractures, using a quantitative measure of frailty in conjunction with the web-based Fracture Risk Assessment Tool (FRAX®).

METHODS

This study was performed in the Osteoporosis Risk Assessment (OPRA) cohort of n = 1023, 75-year-old women followed for 10-years. A frailty index (FI) of 'deficits in health' was created, and FRAX 10-year probability for major osteoporotic and hip fractures was calculated and bone mineral density measured. Incident fractures were continuously registered for 10-years. Receiver Operating Characteristic (ROC) curves were used to compare FI, FRAX and the combination FI + FRAX as instruments for risk prediction. Discriminative ability was estimated by comparing Area Under the Curve (AUC). In addition, using guidelines from the Swedish Osteoporosis Foundation, a category of low risk women who would not have been recommended for pharmacological treatment (non-treatment group) was identified, categorized by frailty status and for relative risk analysis, hazard ratios (HR) and 95% confidence intervals were calculated using Cox proportional hazard regressions.

RESULTS

For hip fracture, FRAX and frailty performed almost equally (HIP AUC 10y: 0.566 vs. 0.567, p = 0.015 and p = 0.013). Next, FI was used in conjunction with FRAX; proving marginally better than either score alone (AUC 10y: 0.584, p = 0.002). Comparable results were observed for osteoporotic fracture. In the non-treatment group (564 women), being frail was associated with higher 10y hip fracture risk (HR 2.01 (1.13-3.57)), although failing to reach statistical significance for osteoporotic fracture (HR 1.40 (0.97-2.01). The utility of measuring frailty was also demonstrated when using T-score as an index of bone density to define fracture risk. Among n = 678 non-osteoporotic women, frailty added to the 10-year fracture risk (Hip; HR 2.22 (1.35-3.71); Osteoporotic fracture; HR 1.57 (1.15-2.14)).

CONCLUSIONS

While the addition of frailty to FRAX marginally improved fracture prediction, applying a frailty measurement to a group of 'low risk' women, identified a set of individuals with high actual hip fracture risk that would not be prioritized for pharmacological treatment. Further cost-benefit analysis studies are needed to formally test potential benefit.

Effectiveness of Motivational Interviewing on contribution to self-care, self-efficacy, and preparedness in caregivers of patients with heart failure: a secondary outcome analysis of the MOTIVATE-HF randomized controlled trial

AIMS

Caregiver characteristics and behaviours are associated with patients' and caregivers' outcomes. However, there is scarce evidence on interventions aimed at improving caregiver contribution (CC) to patient self-care, caregiver self-efficacy, and caregiver preparedness in heart failure (HF). This study aims to evaluate the effect of Motivational Interviewing (MI) on CC to patient self-care, caregiver self-efficacy, and caregiver preparedness in HF.

METHODS AND RESULTS

This is a secondary outcome analysis of MOTIVATE-HF randomized controlled trial. Caregivers of patients with HF were randomized into three arms: Arm 1 (MI for patients), Arm 2 (MI for patients and caregivers), and Arm 3 (standard care). The intervention consisted of one MI session plus three telephone contacts. Data were collected at baseline and after 3, 6, 9, and 12 months. A total of 510 patient and caregiver (median age 54 years, 76% females) dyads were enrolled, 235 caregivers and 238 patients completed the study until 12 months. Caregiver contribution to self-care maintenance and management and caregiver preparedness significantly improved over time, but without significant differences among the three arms. At 9 months, caregiver self-efficacy improved more in Arm 2 than Arm 3 [difference: 8.36, 95% confidence interval (CI) (3.13; 13.59), P = 0.001]. This improvement remained significant also at linear mixed model [β^ = 1.39, 95% CI (0.02; 2.75), P = 0.046].

CONCLUSION

Motivational Interviewing did not improve CC to patient self-care and caregiver preparedness. However, it increased caregiver self-efficacy, which is known to be a powerful mediator of CC to self-care.

REGISTRATION

Clinicaltrials.gov: NCT02894502.