Predicting non-elective hospital readmission or death using a composite assessment of cognitive and physical frailty in elderly inpatients with cardiovascular disease

The impact of frailty on short-term prognosis in discharged adult stroke patients: A multicenter prospective cohort study

BACKGROUND

Frailty is commonly observed in stroke patients and it is associated with adverse outcomes. However, there remains a gap in longitudinal studies investigating the causal relationship between baseline frailty and short-term prognosis in discharged adult stroke patients.

OBJECTIVE

To examine the causal impact of frailty on non-elective readmission and major adverse cardiac and cerebral events, and investigate its associations with cognitive impairment and post-stroke disability.

DESIGN

A multicenter prospective cohort study.

SETTING

Two tertiary hospitals in Central and Northwest China.

PARTICIPANTS

667 adult stroke patients in stroke units were included from January 2022 to June 2022.

METHODS

Baseline frailty was assessed by the Frailty Scale. Custom-designed questions were utilized to assess non-elective readmission and major adverse cardiac and cerebral events as primary outcomes. Cognitive impairment, assessed using the Mini-Mental State Examination Scale (MMSE), and post-stroke disability, measured with the Modified Rankin Scale (mRS), were considered secondary outcomes at a 3-month follow-up. The impact of baseline frailty on non-elective readmission and major adverse cardiac and cerebral events was examined using bivariate and multiple Cox regression analyses. Furthermore, associations between baseline frailty and cognitive impairment, or post-stroke disability, were investigated through generalized linear models.

RESULTS

A total of 5 participants died, 12 had major adverse cardiac and cerebral events, and 57 had non-selective readmission among 667 adult stroke patients. Frailty was an independent risk factor for non-selective readmission (hazard ratio [HR]: 2.71, 95 % confidence interval [CI]: 1.59, 4.62) and major adverse cardiac and cerebral events (HR: 3.77, 95 % CI: 1.07, 13.22) for stroke patients. Baseline frailty was correlated with cognitive impairment (regression coefficient [β]: -2.68, 95 % CI: -3.78, -1.58) adjusting for socio-demographic and clinical factors and follow-up interval. However, the relationship between frailty and cognitive impairment did not reach statistical significance when further adjusting for baseline MMSE (β: -0.39, 95 % CI: -1.43, 0.64). Moreover, baseline frailty was associated with post-stroke disability (β: 0.36, 95 % CI: 0.08, 0.65) adjusting for socio-demographic and clinical variables, follow-up interval, and baseline mRS.

CONCLUSIONS

The finding highlights the importance of assessing baseline frailty in discharged adult stroke patients, as it is significantly associated with non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability at 3 months. These results highlight the crucial role of screening and evaluating frailty status in improving short-term prognosis for adult stroke patients. Interventions should be developed to address baseline frailty and mitigate the short-term prognosis of stroke.

TWEETABLE ABSTRACT

Baseline frailty predicts non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability in adult stroke patients. @haiyanhexyyy.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Implication of different frailty criteria in older people with atrial fibrillation: a prospective cohort study

BACKGROUND

the prevalence of physical and multidimensional frailty and their prognostic impact on clinical outcomes in patients with atrial fibrillation (AF) is unclear.

OBJECTIVE

to evaluated frailty in a cohort of patients with AF according to different criteria, and studied the prevalence and its prognostic impact on clinical outcomes.

METHODS

in this multicenter prospective cohort, 197 inpatients ≥ 65 years old with AF were recruited from September 2018 to April 2019.We used Fried Frailty phenotype (Fried) to assess physical frailty, and comprehensive geriatric assessment-frailty index (CGA-FI) to assess multidimensional frailty. The primary outcome was a composite of all-cause mortality or rehospitalization.

RESULTS

the prevalence of frailty was determined as 34.5% by Fried, 42.6% by CGA-FI. Malnutrition and ≥ 7 medications were independently associated with frailty. Kaplan-Meier survival curve showed that the presence of frailty by CGA-FI had significantly lower all-cause mortality or rehospitalization survival rate (log-rank P = 0.04) within 1 year. Multivariate Cox regression adjusted for age and sex showed that the frailty by CGA-FI was significantly associated with the risk of all-cause mortality or rehospitalization within 1 year (HR 1.79, 95% CI 1.10-2.90). However, those associations were absent with the physical frailty. After broader multivariate adjustment, those associations were no longer statistically significant for both types of frailty.

CONCLUSIONS

in older people with AF, Multidimensional frailty is more significantly associated with a composite of all-cause mortality or rehospitalization within 1 year than physical frailty, but these association are attenuated after multivariate adjustment.

CLINICAL TRIAL REGISTRATION

ChiCTR1800017204; date of registration: 07/18/2018.

The association between cognitive impairment and 30-day mortality among older Chinese inpatients

Purpose

Although the association between cognitive impairment and mortality has been widely described among community-dwelling older adults, this association in hospitalized patients was limited.

Objectives

This study's purpose was to explore the association between cognitive impairment and 30-day mortality after adjustment of factors among Chinese in-patients.

Methods

This was a large-scale prospective study based on a cohort of patients aged 65 years and older, whose cognitive function was assessed using the Mini-Cog instrument, followed up at 30-days for mortality. Multivariate logistic regression models were used to assess the association between cognitive impairment and 30-day mortality.

Results

There were 9,194 inpatients in our study, with an average age of 72.41 ± 5.72. The prevalence of cognitive impairment using the Mini-Cog instrument was 20.5%. Multivariable analyses showed that patients with cognitive impairment have an increased risk of 30-day mortality, compared to those with normal cognitive function (OR = 2.83,95%CI:1.89–4.24) in an unadjusted model. In the fully adjusted model, Patients with cognitive impairment had an increased risk of 30-day mortality compared to those with normal cognitive function in the completely adjusted model (OR = 1.76,95% CI: 1.14–2.73). Additionally, this association still existed and was robust after performing a stratified analysis of age, gender, frailty and depression, with no significant interaction (P > 0.05).

Conclusions

Our study found that older Chinese in-patients with cognitive impairment have a 1.76-fold risk of 30-day mortality compared to patients with normal cognitive function, suggesting that clinicians and nurses need to early implement cognitive function screening and corresponding interventions to improve clinical outcomes for older in-patients.

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

Aims

Although evidence suggests that cognitive decline and physical frailty in elderly patients with heart failure (HF) are associated with prognosis, the impact of concurrent physical frailty and cognitive impairment, that is, cognitive frailty, on prognosis has yet to be fully investigated. The current study sought to investigate the prevalence and prognostic impact of cognitive frailty in elderly patients with HF.

Methods and results

This study is a sub‐analysis of FRAGILE‐HF, a prospective multicentre observational study involving patients aged ≥65 years hospitalized for HF. The Fried criteria and Mini‐Cog were used to diagnose physical frailty and cognitive impairment, respectively. The association between cognitive frailty and the combined endpoint of mortality and HF rehospitalization within 1 year was then evaluated. Among the 1332 patients identified, 1215 who could be assessed using Mini‐Cog and the Fried criteria were included in this study. Among those included, 279 patients (23.0%) had cognitive frailty. During the follow‐up 1 year after discharge, 398 combined events were observed. Moreover, cognitive frailty was determined to be associated with a higher incidence of combined events (log‐rank: P = 0.0146). This association was retained even after adjusting for other prognostic factors (hazard ratio: 1.55, 95% confidence interval: 1.13–2.13). Furthermore, a sensitivity analysis using grip strength, short physical performance battery, and gait speed to determine physical frailty instead of the Fried criteria showed similar results.

Conclusions

This cohort study found that 23% of elderly patients with HF had cognitive frailty, which was associated with a 1.55‐fold greater risk for combined events within 1 year compared with patients without cognitive frailty.

Urinary 8-OxoGsn as a Potential Indicator of Mild Cognitive Impairment in Frail Patients With Cardiovascular Disease

Oxidative RNA damage has been found to be associated with age-related diseases and 8-oxo-7,8-dihydroguanosine (8-oxoGsn) is a typical marker of oxidative modification of RNA. Urine tests are a feasible non-invasive diagnostic modality. The present study aimed to assess whether the measurement of urinary 8-oxoGsn could represent a potential early maker in mild cognitive impairment (MCI) of frail patients with cardiovascular disease (CVD). In this cross-sectional study performed in China from September 2018 to February 2019. Urinary 8-oxoGsn was measured in frail (Fried phenotype: 3–5) in patients with CVD and was adjusted by urinary creatinine (Cre) levels. Cognitive function was assessed by the Chinese version of the Mini-Mental State Examination (MMSE) and participants were classified into non-MCI (≥24) and MCI (<24) groups. Univariate and multivariate logistic regression models were used to determine the relationship between 8-oxoGsn/Cre and MCI. Receiver operating characteristic (ROC) curve analysis was used to assess the 8-oxoGsn/Cre ratio in relation to MCI in frail patients with CVD. A total of 106 elderly patients were enrolled in this study. The mean age of participants was 77.9 ± 6.8 years, the overall prevalence of MCI was 22.6% (24/106), and 57.5% (61/106) of participants were women. In the multivariate logistic regression analysis, urinary 8-oxoGsn/Cre was independently associated with MCI (odds ratio [OR] = 1.769, 95% confidence interval [CI] = 1.234–2.536, P = 0.002), after adjusting for age, sex, education level, marital status, and serum prealbumin levels. The area under the ROC curve was 0.786 (0.679–0.893) (P < 0.001), and the optimal cut-off value was 4.22 μmol/mol. The urinary 8-oxoGsn/Cre ratio showed a sensitivity of 87.5% and a specificity of 69.5%. The present study suggests the urinary 8-oxoGsn/Cre ratio may be a useful indicator for the early screening of MCI in frail patients with CVD.

Current Trends in Readmission Prediction: An Overview of Approaches

Hospital readmission shortly after discharge threatens the quality of patient care and leads to increased medical care costs. In the United States, hospitals with high readmission rates are subject to federal financial penalties. This concern calls for incentives for healthcare facilities to reduce their readmission rates by predicting patients who are at high risk of readmission. Conventional practices involve the use of rule-based assessment scores and traditional statistical methods, such as logistic regression, in developing risk prediction models. The recent advancements in machine learning driven by improved computing power and sophisticated algorithms have the potential to produce highly accurate predictions. However, the value of such models could be overrated. Meanwhile, the use of other flexible models that leverage simple algorithms offer great transparency in terms of feature interpretation, which is beneficial in clinical settings. This work presents an overview of the current trends in risk prediction models developed in the field of readmission. The various techniques adopted by researchers in recent years are described, and the topic of whether complex models outperform simple ones in readmission risk stratification is investigated.

Multidomain Frailty in Heart Failure: Current Status and Future Perspectives

PURPOSE OF REVIEW

With a worldwide aging population, frailty and heart failure (HF) have become issues that need to be addressed urgently in cardiovascular clinical practice. In this review, we outline the clinical implications of frailty in HF patients and the potential therapeutic strategies to improve the clinical outcomes of frail patients with HF.

RECENT FINDINGS

Frailty has physical, psychological, and social domains, each of which is a prognostic determinant for patients with HF, and each domain overlaps with the other, although there are no standardized criteria for diagnosing frailty. Frailty can be targeted for treatment with various interventions, and recent studies have suggested that multidisciplinary intervention could be a promising option for frail patients with HF. However, currently, there is limited data, and further research is needed before its clinical implementation. Frailty and HF share a common background and are strongly associated with each other. More comprehensive assessment and therapeutic interventions for frailty need to be developed to further improve the prognosis and quality of life of frail patients with HF.

Frailty related all-cause mortality or hospital readmission among adults aged 65 and older with stage-B heart failure inpatients

BACKGROUND

Frailty increases the adverse outcomes of clinical heart failure; however, the relationship between frailty and stage-B heart failure (SBHF) remains unknown. We aimed to explore the epidemiology and predictive value of frailty in older adults with SBHF.

METHODS

A prospective cohort of SBHF inpatients aged 65 years or older who were hospitalized between September 2018 and February 2019 and were followed up for 6 months were included. SBHF was defined as systolic abnormality, structural abnormality (left ventricular enlargement, left ventricular hypertrophy, wall motion abnormalities, valvular heart disease), or prior myocardial infarction. Frailty was assessed by the Fried frailty phenotype. Multivariable Cox proportional hazards regression was used to explore the independent risk and prognostic factors.

RESULTS

Data of 443 participants (age: 76.1 ± 6.79 years, LVEF: 62.8 ± 4.92%, men: 225 [50.8%], frailty: 109 [24.6%]) were analyzed. During the 6-month follow-up, 83 (18.7%) older SBHF inpatients experienced all-cause mortality or readmission, and 29 (6.5%) of them developed clinical HF. Frail individuals had a 1.78-fold (95%CI: 1.02-3.10, P = 0.041) higher risk of 6-month mortality or readmission and a 2.83-fold (95%CI 1.24-6.47, P = 0.014) higher risk of developing clinical HF, independent of age, sex, left ventricular ejection fraction, and N-terminal pro-B-type natriuretic peptide level.

CONCLUSIONS

Frailty is common in older SBHF inpatients and should be considered to help identify individuals with an increased risk of mortality or readmission, and developing clinical HF.

TRIAL REGISTRATION

ChiCTR1800017204 .

Long-Term Prognostic Value of Cognitive Impairment on Top of Frailty in Older Adults after Acute Coronary Syndrome

Frailty is a marker of poor prognosis in older adults after acute coronary syndrome. We investigated whether cognitive impairment provides additional prognostic information. The study population consisted of a prospective cohort of 342 older (>65 years) adult survivors after acute coronary syndrome. Frailty (Fried score) and cognitive function (Pfeiffer's Short Portable Mental Status Questionnaire-SPMSQ) were assessed at discharge. The endpoints were mortality or acute myocardial infarction at 8.7-year median follow-up. Patient distribution according to SPMSQ results was: no cognitive impairment (SPMSQ = 0 errors; n = 248, 73%), mild impairment (SPMSQ = 1-2 errors; n = 52, 15%), and moderate to severe impairment (SPMSQ ≥3 errors; n = 42, 12%). A total of 245 (72%) patients died or had an acute myocardial infarction, and 216 (63%) patients died. After adjustment for clinical data, comorbidities, and Fried score, the SPMSQ added prognostic value for death or myocardial infarction (per number of errors; HR = 1.11, 95%, CI 1.04-1.19, p = 0.002) and death (HR = 1.11, 95% 1.03-1.20, p = 0.007). An SPMSQ with ≥3 errors identified the highest risk subgroup. Geriatric conditions (SPSMQ and Fried score) explained 19% and 43% of the overall chi-square of the models for predicting death or myocardial infarction and death, respectively. Geriatric assessment after acute coronary syndrome should include both frailty and cognitive function. This is particularly important given that cognitive impairment without dementia can be subclinical and thus remain undetected.

Adding high-sensitivity C-reactive protein to frailty assessment to predict mortality and cardiovascular events in elderly inpatients with cardiovascular disease

OBJECTIVE

Chronic inflammation is associated with major adverse cardiovascular events (MACEs), mortality, and frailty. Our aim was to add high-sensitivity C-reactive protein (hsCRP) to the frailty assessment to predict its association with prognosis of older adults with cardiovascular disease (CVD).

METHODS

A comprehensive geriatric assessment was conducted at baseline in 720 in-patients aged ≥65 years with CVD. We divided the population into frailty and non-frailty groups according to the Fried phenotype, and hsCRP was further combined with frailty to stratify all patients into c-frailty and non-c-frailty groups. Predictive validity was tested using Cox proportional hazards regression model analysis and the discriminative ability was evaluated by receiver operating characteristic (ROC) curves.

RESULTS

Of all the subjects enrolled, 51.0% were male and the mean age was 75.32 ± 6.52 years. The all-cause death and MACE rate was 6.4% at the 1-year follow-up. Frailty and c-frailty were independent predictors of all-cause death and MACE (hazard ratio [HR]: 2.55, 95% confidence interval [CI]: 1.35-4.83, p = 0.004; HR: 3.67, 95% CI: 1.83-7.39, p < 0.001). Adding hsCRP to the frailty model resulted in a significant increase in the area under the ROC curve from 0.74 (95% CI: 0.70-0.77) to 0.77 (95% CI: 0.71-0.84) (p = 0.0132) and a net reclassification index of 7.9% (95% CI: 1.96%-12.56%, p = 0.012).

CONCLUSION

Adding hsCRP to the frailty assessment is helpful to identify a subgroup of older CVD patients with a higher risk of death and MACE over a period of 1 year.

TRIAL REGISTRATION

ChiCTR1800017204; date of registration: 07/18/2018. URL: http://www.chictr.org.cn/showproj.aspx?proj=28931.