Predictors of re-hospitalization in patients with chronic heart failure

Prognostic value of the duke activity Status Index Questionnaire in predicting mortality in patients with chronic heart failure: 36-month follow-up study

BACKGROUND

The Duke Activity Status Index (DASI) questionnaire has been the focus of numerous investigations - its discriminative and prognostic capacity has been continuously explored, supporting its use in the clinical setting, specifically during rehabilitation in patients with chronic heart failure (CHF).However, studies exploring optimal DASI questionnaire threshold scores are limited.

OBJECTIVE

To investigate optimal DASI questionnaire thresholds values in predicting mortality in a CHF cohort and assess mortality rates based on the DASI questionnaire using a thresholds values obtained.

METHODOLOGY

This is a prospective cohort study with a 36-month follow-up in patients with CHF. All patients completed a clinical assessment, followed by DASI questionnaire, pulmonary function, and echocardiography. The Receiver Operating Characteristic (ROC) curve analysis was used to discriminate the DASI questionnaire score in determining the risk of mortality. For survival analysis, the Kaplan-Meier model was used to explore the impact of ≤/>23 points on mortality occurring during the 36-month follow-up.

RESULTS

One hundred and twenty-four patients were included, the majority being elderly men. Kaplan Meier analysis revealed that ≤/> 23 was a strong predictor of CHF mortality over a 36-month follow-up.

CONCLUSION

A score of ≤/>23 presents good discriminatory capacity to predict mortality risk in 36 months in patients with CHF, especially in those with reduced or mildly reduced ejection fraction. Age, ejection fraction, DASI questionnaire score and use of digoxin are risk factors that influence mortality in this population.

Prognostic utility of B-type natriuretic peptide and 6-min walk test in patients with acute decompensated heart failure

BACKGROUND

We aimed to assess the utility of B-type natriuretic peptide (BNP) and 6-min walk test (6 MWT) together as predictors of re-hospitalization and mortality in acute decompensated heart failure (ADHF) patients.

METHODS

This prospective, observational, comparative study was conducted at a tertiary care center in India between October 2016 and March 2018. Patients (aged≥18 years) with ADHF and left ventricular systolic dysfunction were included in this study. The study group (N = 100 patients) consisted of patients undergoing a second BNP test along with the 6 MWT at the time of discharge and at 3-months of discharge. The control group (N = 100 patients) consisted of patients who did not undergo these tests at discharge and/or at 3-months of discharge. Study endpoints were re-hospitalization within 6-months, and in-patient and 6-month mortality.

RESULTS

Total 200 patients diagnosed with ADHF were enrolled. Mean age was 53.46 ± 10.12 years in the study group and 52.98 ± 9.88 years in the control group. ROC analysis of BNP level to predict re-hospitalization revealed AUC of 0.935 (p < 0.001) at admission, 0.915 (p < 0.001) at discharge, and 0.783 (p < 0.001) at 3-months. Similarly, at discharge, ROC analysis of 6 MWT to predict death gave AUC of 0.670 (p = 0.011), and at 3-months, it was 0.838 (p < 0.001). ROC analysis of BNP level to predict mortality showed AUC of 0.960 (p < 0.001) at admission, 0.947 (p < 0.001) after discharge, and 0.960 (p = 0.002) at 3-months.

CONCLUSION

BNP levels and 6 MWT have good prognostic utility in ADHF patients, and thus may be beneficial in making therapeutic adjustments and taking precautionary measures in these patients.

Repetitive levosimendan infusions for patients with advanced chronic heart failure in the vulnerable post-discharge period: The multinational randomized LeoDOR trial

AIM

The LeoDOR trial explored the efficacy and safety of intermittent levosimendan therapy in the vulnerable phase following a hospitalization for acute heart failure (HF).

METHODS AND RESULTS

In this prospective multicentre, double-blind, two-armed trial, patients with advanced HF were randomized 2:1 at the end of an index hospitalization for acute HF to intermittent levosimendan therapy or matching placebo for 12 weeks. All patients had left ventricular ejection fraction (LVEF) ≤30% during index hospitalization. Levosimendan was administered according to centre preference either as 6 h infusion at a rate of 0.2 μg/kg/min every 2 weeks, or as 24 h infusion at a rate of 0.1 μg/kg/min every 3 weeks. The primary efficacy assessment after 14 weeks was based on a global rank score consisting of three hierarchical groups. Secondary clinical endpoints included the composite risk of tiers 1 and 2 at 14 and 26 weeks, respectively. Due to the COVID-19 pandemic, the planned number of patients could not be recruited. The final modified intention-to-treat analysis included 145 patients (93 in the combined levosimendan arm, 52 in the placebo arm), which reduced the statistical power to detect a 20% risk reduction in the primary endpoint to 60%. Compared with placebo, intermittent levosimendan had no significant effect on the primary endpoint: the mean rank score was 72.55 for the levosimendan group versus 73.81 for the placebo group (p = 0.863). However, there was a signal towards a higher incidence of the individual clinical components of the primary endpoint in the levosimendan group versus the placebo group both after 14 weeks (hazard ratio [HR] 2.94, 95% confidence interval [CI] 1.12-7.68; p = 0.021) and 26 weeks (HR 1.64, 95% CI 0.87-3.11; p = 0.122).

CONCLUSIONS

Among patients recently hospitalized with HF and reduced LVEF, intermittent levosimendan therapy did not improve post-hospitalization clinical stability.

QT and Tpeak-Tend interval variability: Predictive electrical markers of hospital stay length and mortality in acute decompensated heart failure. Preliminary data

BACKGROUND

As previously reported, an increased repolarization temporal imbalance induces a higher risk of total/cardiovascular mortality.

HYPOTHESIS

The aim of this study was to assess if the electrocardiographic short period markers of repolarization temporal dispersion could be predictive of the hospital stay length and mortality in patients with acutely decompensated chronic heart failure (CHF).

METHOD

Mean, standard deviation (SD), and normalized variance (VN) of QT (QT) and Tpeak-Tend (Te) were obtained on 5-min ECG recording in 139 patients hospitalized for acutely decompensated CHF, subgrouping the patients for hospital length of stay (LoS): less or equal 1 week (≤1 W) and those with more than 1 week (>1 W).

RESULTS

We observed an increase of short-period repolarization variables (TeSD and TeVN, p < .05), a decrease of blood pressure (p < .05), lower ejection fraction (p < .05), and higher plasma level of biomarkers (NT-proBNP, p < .001; Troponin, p < .05) in >1 W LoS subjects. 30-day deceased subjects reported significantly higher levels of QTSD (p < .05), Te mean (p < .001), TeSD (p < .05), QTVN (p < .05) in comparison to the survivors. Multivariable Cox regression analysis reported that TeVN was a risk factor for longer hospital stay (hazard ratio: 1.04, 95% confidence limit: 1.01-1.08, p < .05); whereas, a longer Te mean was associated with higher mortality risk (hazard ratio: 1.02, 95% confidence limit: 1.01-1.03, p < .05).

CONCLUSION

A longer hospital stay is considered a clinical surrogate of CHF severity, we confirmed this finding. Therefore, these electrical and simple parameters could be used as noninvasive, transmissible, inexpensive markers of CHF severity and mortality.

Readmissions, Death and Its Associated Predictors in Heart Failure With Preserved Versus Reduced Ejection Fraction

Background

Data on rehospitalizations for heart failure (HF) in Asia are scarce. We sought to determine the burden and predictors of HF (first and recurrent) rehospitalizations and all‐cause mortality in patients with HF and preserved versus reduced ejection fraction (preserved EF, ≥50%; reduced EF, <40%), in the multinational ASIAN‐HF (Asian Sudden Cardiac Death in Heart Failure) registry.

Methods and Results

Patients with symptomatic (stage C) chronic HF were followed up for death and recurrent HF hospitalizations for 1 year. Predictors of HF hospitalizations or all‐cause mortality were examined with Cox regression for time to first event and other methods for recurrent events analyses. Among 1666 patients with HF with preserved EF (mean age, 68±12 years; 50% women), and 4479 with HF with reduced EF (mean age, 61±13 years; 22% women), there were 642 and 2302 readmissions, with 28% and 45% attributed to HF, respectively. The 1‐year composite event rate for first HF hospitalization or all‐cause death was 11% and 21%, and for total HF hospitalization and all‐cause death was 17.7 and 38.7 per 100 patient‐years in HF with preserved EF and HF with reduced EF, respectively. In HF with preserved EF, consistent independent predictors of these clinical end points included enrollment as an inpatient, Southeast Asian location, and comorbid chronic kidney disease or atrial fibrillation. The same variables were predictive of outcomes in HF with reduced EF except atrial fibrillation, and also included Northeast Asian location, older age, elevated heart rate, decreased systolic blood pressure, diabetes, smoking, and non‐usage of beta blockers.

Conclusions

One‐year HF rehospitalization and mortality rates were high among Asian patients with HF. Predictors of outcomes identified in this study could aid in risk stratification and timely interventions.

Registration

URL: https://www.clinicaltrials.gov; Unique identifier: NCT01633398.

Factors Associated With Hospital Readmission of Heart Failure Patients

Background: Heart failure (HF) is a significant cause of mortality, morbidity and impaired quality of life and is the leading cause of readmissions and hospitalization. This study aims to identify the factors contributing to readmission in patients with HF.

Methods: A prospective-observational single-centre study was conducted in Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates. A total of 146 patients with HF are included in the study. Patient’s demographics, patient medical characteristics, lab values, medications were collected for each patient, and the factors associated with readmission are identified. The primary outcome is to identify the factors contributing to readmission and reduce readmission rate. SPSS software for windows version 26 is used for data analysis.

Results: The number of patients with heart failure admitted to hospital is higher with males (73.3%) than females. 42.1% were readmitted and were not compliant, whereas patients who are not readmitted and were compliant shows a lower percentage. Noncompliance was the most significant factor associated with readmission (p = 0.02, OR = 3.6, 95%CI: 1.57 - 8.28). Other factors that are associated with readmission were low haemoglobin (p = 0.001, OR = 0.96, 95%CI: 0.94 - 0.98), and NYHA class of HF (p = 0.023, OR = 2.22, 95%CI: 1.12 - 4.43). In addition, there are other factors that are linked with the disease but were not associated with readmission in our findings such as hypertension, coronary artery disease, gender, systolic blood pressure on admission, and age. Majority of the readmitted patients were NYHA Class IV 32/57 (56.1%) against 20/89 (22.7%) in non-readmission group. Length of stay is (Median ± IQR, 6 ± 8.5).

Conclusion: The study has revealed that noncompliance, low haemoglobin and NYHA Class IV of HF were the main factors associated with readmission. Clinical pharmacist as a team member could help to improve adherence in order to reduce the rate of admission.

Predicting survival in heart failure: a risk score based on machine-learning and change point algorithm

OBJECTIVE

Machine learning (ML) algorithm can improve risk prediction because ML can select features and segment continuous variables effectively unbiased. We generated a risk score model for mortality with ML algorithms in East-Asian patients with heart failure (HF).

METHODS

From the Korean Acute Heart Failure (KorAHF) registry, we used the data of 3683 patients with 27 continuous and 44 categorical variables. Grouped Lasso algorithm was used for the feature selection, and a novel continuous variable segmentation algorithm which is based on change-point analysis was developed for effectively segmenting the ranges of the continuous variables. Then, a risk score was assigned to each feature reflecting nonlinear relationship between features and survival times, and an integer score of maximum 100 was calculated for each patient.

RESULTS

During 3-year follow-up time, 32.8% patients died. Using grouped Lasso, we identified 15 highly significant independent clinical features. The calculated risk score of each patient ranged between 1 and 71 points with a median of 36 (interquartile range: 27-45). The 3-year survival differed according to the quintiles of the risk score, being 80% and 17% in the 1st and 5th quintile, respectively. In addition, ML risk score had higher AUCs than MAGGIC-HF score to predict 1-year mortality (0.751 vs. 0.711, P < 0.001).

CONCLUSIONS

In East-Asian patients with HF, a novel risk score model based on ML and the new continuous variable segmentation algorithm performs better for mortality prediction than conventional prediction models.

CLINICAL TRIAL REGISTRATION

Unique identifier: INCT01389843 https://clinicaltrials.gov/ct2/show/NCT01389843 .

Effects of self-management interventions on heart failure: Systematic review and meta-analysis of randomized controlled trials - Reprint

BACKGROUND

Self-management intervention is an important component of disease management in patients with heart failure. It can improve heart failure knowledge, quality of life, and heart failure-related hospitalizations of heart failure patients. However, studies on the effect of two self-management interventions tasks have reported conflicting results.

OBJECTIVE

This study conducted an up-to-date systematic review of the literature to evaluate the effects of self-management interventions on heart failure knowledge, quality of life, and heart failure-related hospitalizations in patients with heart failure.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

We searched PubMed, Embase, Web of Science, Cochrane Library, and the references of articles in 14th December 2019.

METHODS

The study characteristics included: authors, year, country, sample size, mean age of patients with heart failure, duration of intervention, recruitment and intervention delivery, interventions based on self-efficacy theory, cognitive behavioral therapy, disease management, self-care education. The risk of bias for each study was assessed independently by two investigators based on the Cochrane Handbook. This study used Revman to analyze different research outcomes. The fixed-effect model was used in the absence of significant heterogeneity or low heterogeneity, and if the heterogeneity was high, the random effect model was used.

RESULTS

A total of 4977 publications were retrieved in this study. After eliminating duplicates and screening for titles and abstracts, 209 articles were retrieved for full-text evaluation. Finally, a total sample size analyzed across 15 randomized controlled trials was 2630 participants. This study showed that self-management interventions significantly improved heart failure knowledge (0.61, 95% confidence interval (CI) 0.27-0.95, p = 0.0004), quality of life (0.20, 95% CI 0.02-0.38, p = 0.03), and heart failure-related hospitalization (OR 0.40, 95% CI 0.29 to 0.55, p<0.00001) in patients with heart failure.

CONCLUSIONS

This study reveals the beneficial effects of self-management interventions on heart failure knowledge, quality of life, and heart failure-related hospitalization in patients with heart failure. Therefore, high quality randomized controlled designs are needed to explore the optimal self-management interventions for patients with heart failure. Tweetable abstract: This study reveals self-management interventions can improve heart failure knowledge, quality of life, and reduced heart failure-related hospitalization.

Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

Recent health reforms have created incentives for cardiologists and accountable care organizations to participate in value-based care models for heart failure (HF). Accurate risk stratification of HF patients is critical to efficiently deploy interventions aimed at reducing preventable utilization. The goal of this paper was to compare deep learning approaches with traditional logistic regression (LR) to predict preventable utilization among HF patients. We conducted a prognostic study using data on 93,260 HF patients continuously enrolled for 2-years in a large U.S. commercial insurer to develop and validate prediction models for three outcomes of interest: preventable hospitalizations, preventable emergency department (ED) visits, and preventable costs. Patients were split into training, validation, and testing samples. Outcomes were modeled using traditional and enhanced LR and compared to gradient boosting model and deep learning models using sequential and non-sequential inputs. Evaluation metrics included precision (positive predictive value) at k, cost capture, and Area Under the Receiver operating characteristic (AUROC). Deep learning models consistently outperformed LR for all three outcomes with respect to the chosen evaluation metrics. Precision at 1% for preventable hospitalizations was 43% for deep learning compared to 30% for enhanced LR. Precision at 1% for preventable ED visits was 39% for deep learning compared to 33% for enhanced LR. For preventable cost, cost capture at 1% was 30% for sequential deep learning, compared to 18% for enhanced LR. The highest AUROCs for deep learning were 0.778, 0.681 and 0.727, respectively. These results offer a promising approach to identify patients for targeted interventions.

Effects of self-management interventions on heart failure: Systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Self-management intervention is an important component of disease management in patients with heart failure. It can improve heart failure knowledge, quality of life, and heart failure-related hospitalizations of heart failure patients. However, studies on the effect of two self-management interventions tasks have reported conflicting results.

OBJECTIVE

This study conducted an up-to-date systematic review of the literature to evaluate the effects of self-management interventions on heart failure knowledge, quality of life, and heart failure-related hospitalizations in patients with heart failure.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

We searched PubMed, Embase, Web of Science, Cochrane Library, and the references of articles in 14th December 2019.

METHODS

The study characteristics included: authors, year, country, sample size, mean age of patients with heart failure, duration of intervention, recruitment and intervention delivery, interventions based on self-efficacy theory, cognitive behavioral therapy, disease management, self-care education. The risk of bias for each study was assessed independently by two investigators based on the Cochrane Handbook. This study used Revman to analyze different research outcomes. The fixed-effect model was used in the absence of significant heterogeneity or low heterogeneity, and if the heterogeneity was high, the random effect model was used.

RESULTS

A total of 4977 publications were retrieved in this study. After eliminating duplicates and screening for titles and abstracts, 209 articles were retrieved for full-text evaluation. Finally, a total sample size analyzed across 15 randomized controlled trials was 2630 participants. This study showed that self-management interventions significantly improved heart failure knowledge (0.61, 95% confidence interval (CI) 0.27-0.95, p = 0.0004), quality of life (0.20, 95% CI 0.02-0.38, p = 0.03), and heart failure-related hospitalization (OR 0.40, 95% CI 0.29 to 0.55, p<0.00001) in patients with heart failure.

CONCLUSIONS

This study reveals the beneficial effects of self-management interventions on heart failure knowledge, quality of life, and heart failure-related hospitalization in patients with heart failure. Therefore, high quality randomized controlled designs are needed to explore the optimal self-management interventions for patients with heart failure. Tweetable abstract: This study reveals self-management interventions can improve heart failure knowledge, quality of life, and reduced heart failure-related hospitalization.

Hospitalized patients with heart failure: the impact of anxiety, fatigue, and therapy adherence on quality of life

Introduction

Heart failure (HF) is a major global health problem associated with increased morbidity and mortality and reduced quality of life (QoL). The aim of the study was to assess the impact of anxiety, fatigue and adherence to therapeutic guidelines on HF patients' QoL.

Material and methods

A hundred and twenty hospitalized HF patients were enrolled in the study. Data collection was performed by completion of the Minnesota Living With Heart Failure Questionnaire (MLHFQ), the Greek version of the Modified Fatigue Impact Scale (MFIS-Greek), the Zung Self-Rating Anxiety Scale (SAS) and a questionnaire that measured adherence to therapeutic guidelines.

Results

Data analysis showed moderate levels of anxiety and high levels of adherence to therapeutic guidelines as well as moderate to large effects of HF on patients' fatigue and QoL. A statistically significant positive linear association was observed between anxiety and QoL (rho > 0.6) as well as fatigue and QoL (rho > 0.3). An increase in the anxiety or fatigue score indicated an increase also in the QoL score, meaning that the more anxiety and fatigue a patient felt the worse the QoL also was. Moreover, a statistically significant negative linear association was observed between adherence to therapeutic guidelines and QoL (rho < -0.2). An increase in adherence score indicated a decrease in QoL score, meaning that the more adherent a patient was the better was the QoL.

Conclusions

The present findings suggest that QoL may be improved when adherence to therapy is increased and fatigue and anxiety are alleviated.

Etiologies and predictors of readmission among obese and morbidly obese patients admitted with heart failure

The relationship between severity of obesity and outcomes in heart failure (HF) has long been under debate. We studied index HF admissions from the 2013-14 National Readmission Database. Admissions were separated into three weight-based categories: non-obese (Non-Ob), obese (Ob), and morbidly obese (Morbid-Ob) to analyze hospital mortality and readmission at 30 days and 6 months. We investigated etiologies and predictors of 30-day readmission among these weight categories. We studied a total of 578,213 patients of whom 3.0% died during index hospitalization (Non-Ob 3.3% vs. Ob 1.9% vs. Morbid-Ob 1.9%; p < 0.01). Non-Ob comprised 79.5%, Ob 9.9%, and Morbid-Ob 10.6% of patients. Morbid-Ob patients were the youngest among age categories and more likely to be female. In-hospital mortality during readmission at 30 days and 6 months was significantly lower among Morbid-Ob and Ob compared with Non-Ob patients (all p < 0.01). Thirty-day readmission among Morbid-Ob was lower than Non-Ob and higher than Ob patients (19.6% vs. 20.5% vs. 18.6%, respectively; p < 0.01). Morbid-Ob patients were less likely to be readmitted for cardiovascular etiologies compared with both Ob and Non-Ob (45.0% vs. 50.3% vs. 50.6%; p < 0.01). Multivariable regression analysis revealed that Ob (adjusted odds ratio 0.84, 95% confidence intervals 0.82-0.86) and Morbid-Ob (aOR 0.83, 95% CI 0.81-0.85) were independently associated with lower 30-day readmission. Readmission at 6 months was highest among Morbid-Ob followed by Non-Ob and Ob (51.1% vs. 50.2% vs. 49.1%, p < 0.01). Morbid-Ob and Ob patients experience lower in-hospital mortality during index HF admission and during readmission with 30 days or 6 months compared with Non-Ob. Morbid-Ob patients experience greater readmission at 6 months despite the lower rate at 30 days post discharge. Morbid-Ob patients are most likely to be readmitted for non-cardiovascular causes.

Biomarkers for Diagnosis and Prediction of Outcomes in Contrast-Induced Nephropathy

Background

Serum creatinine is suboptimal as a biomarker in the early diagnosis of contrast-induced nephropathy (CIN). In this study, we investigated a panel of novel biomarkers in the early diagnosis of CIN and in assessing patient outcomes.

Methods

This single-centre, nested, prospective case-controlled study included 30 patients with CIN and 60 matched controls. Serum and urine samples were collected before contrast administration and at 24 hours, 48 hours, and ≥5 days after contrast administration. Concentrations of NGAL, cystatin C, β₂M, IL18, IL10, KIM1, and TNFα were determined using Luminex and ELISA assays. Outcomes were biomarker diagnostic discrimination performance for CIN and mortality after generation of area under receiver operating characteristic curves (AUROCs).

Results

Median serum levels for 24 h cystatin C (p < 0.01) and 48 h β₂M levels (p < 0.001) and baseline urine NGAL (p=0.02) were higher in CIN patients compared to controls with AUROCs of 0.75, 0.78, and 0.74, respectively, for the early diagnosis of CIN. Serum β₂M levels were higher in CIN patients at all time points. Elevated baseline serum concentrations of IL18 (p < 0.001), β₂M (p=0.04), TNFα (p < 0.001), and baseline urine KIM (p=0.01) and 24 h urine NGAL (p=0.02) were significantly associated with mortality. Baseline serum concentrations of IL18, β₂M, and TNFα showed the best discrimination performance for mortality with AUROCs, all >0.80. Baseline NGAL was superior for excluding patients at risk for CIN, with positive and negative predictive ranges of 0.50–0.55 and 0.81–0.88, respectively. Cystatin C (p=0.003) and β₂M (p=0.03) at 24 h independently predicted CIN risk. β₂M predicted increased mortality of 40% at baseline and 50% at 24 hours.

Conclusion

Serum cystatin C at 24 h was the best biomarker for CIN diagnosis, while baseline levels of serum IL18, β₂M, and TNFα were best for predicting prognosis.

Long-term management of chronic heart failure patients in internal medicine

Chronic heart failure (CHF) is one of the main disabilities in elderly patients requiring frequent hospitalizations with high health care costs. We studied the outcome of CHF outpatient management in reducing hospitalization after discharge from a division of Internal Medicine at a large 3rd referral regional Hospital. 147 CHF inpatients (M:F: 63:84; mean age 76 ± 9.6 years) admitted for acute exacerbation of CHF were followed up as outpatients at 1, 6, 12 and 24 months after discharge. At baseline, patients underwent: laboratory tests, ECG, echocardiogram and a dedicated-intensive health care educational program involving also their families. The rate of hospitalization in the same group of patients was compared with data from the previous 24 months, a period when patients had been seen elsewhere without disease management programs. Patients had high prevalence of comorbidities and the majority was in NYHA class III or IV. Hypertension and valvular heart disease were the most common causes for CHF. Systolic function was preserved (LVEF ≥ 50%) in 61.9% of cases. Functional NYHA class improved significantly after 6 months and remained stable at 24 months. There was a significant increase in the use of the renin-angiotensin system blockers, beta-blockers and diuretics compared to admission to the ward. At 24 months, hospital readmissions were decreased by 42% as compared to the previous 24 months. Risk factors for re-hospitalizations were anemia, NYHA class III or IV and previous hospitalizations. Establishing an intensive outpatient management program for CHF patients leads to long-term beneficial effects with improved clinical parameters and decreased hospitalization in the setting of Internal Medicine.

Depression but not frailty contributed to a higher risk for all-cause hospitalizations in male older veterans

INTRODUCTION

Frailty is a state of vulnerability to stressors resulting in higher morbidity, mortality, and utilization in older adults. Depression and frailty often coexist, suggesting a bidirectional relationship that may increase the effects of each individual condition on clinical outcomes and health-care utilization in older adults.

OBJECTIVE

To determine the effects of concurrent frailty and depression on all-cause hospitalizations.

METHODS/DESIGN

Prospective cohort study, conducted at a Veterans Affairs (VA) Medical Center. The participants were male, community-dwelling veterans 65 years and older. From 4 January through 30 December 2016, a 46-item frailty index was generated from data obtained from the VA electronic health record. Trained staff conducted in-depth reviews of electronic health records ascertaining depression status. Patients were followed through 31 December 2017 for all-cause hospitalizations following the initial assessment of frailty. After adjusting for covariates, the association of frailty and depression with all-cause hospitalizations was determined with the Andersen-Gill model, accounting for repeated hospitalizations.

RESULTS

Five hundred fifty-three male patients were part of the study, mean age 76.3 (SD = 8.2) years. One hundred eighty-one patients (32.7%) had depression diagnoses. During a median follow-up period of 530 days (interquartile range [IQR] = 245), 123 patients (22.2%) had 240 hospitalizations. Frailty status was not associated with future hospitalizations (adjusted hazard ratio [HR] = 1.61; 95% CI, 95-2.74; P > .05). Depression was associated with higher all-cause hospitalizations (adjusted HR = 1.57; 95% CI, 1.09-2.26); P = .0157).

CONCLUSIONS

Depression but not frailty was significantly associated with higher rates of all-cause hospitalization. Implementing interventions that target older adults with both frailty and depression may reduce the burden of both conditions and reduce hospitalizations.

Are Urinary Biomarkers Better Than Acute Kidney Injury Duration for Predicting Readmission?

BACKGROUND

Acute kidney injury (AKI) is a common complication of cardiac surgery. Postprocedural AKI is a risk factor for 30-day readmission. We sought to examine the association of AKI and kidney injury biomarkers with readmission after cardiac surgery.

METHODS

Patients alive at discharge who underwent cardiac surgery from the Translational Research Investigating Biomarker Endpoints-AKI cohort were enrolled from six medical centers in the United States and Canada. AKI duration was defined as the total number of days AKI was present during index admission (no AKI, 1-2, 3-6, and 7+ days). Preoperative and postoperative urinary levels were collected for interleukin-18, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, liver-fatty-acid-binding protein, cystatin C, microalbumin, creatinine, and albumin-to-creatinine ratio. Readmission and death events were identified through US (Medicare) and Canadian administrative databases at 30 days and 365 days after discharge.

RESULTS

Of 968 patients 15.9% were readmitted or died within 30 days of discharge and 35.9% were readmitted or died within 365 days. AKI duration of 3 to 6 days was significantly associated with 30-day readmission or death (adjusted odds ratio, 1.82%; 95% confidence interval, 1.08-3.05). Patients with AKI duration ≥ 7 days had increased odds of readmission or death at both 30 days (adjusted odds ratio, 2.49%; 95% confidence interval, 1.15-5.43) and 365 days (adjusted odds ratio, 3.67%; 95% confidence interval, 1.73-7.79). Urinary biomarkers had no association with readmission and death.

CONCLUSIONS

AKI duration ≥ 3 days, and not kidney biomarkers, was strongly associated with readmission or death. These clinical outcomes are potentially due to cardiovascular or hemodynamic causes rather than intrinsic injury to the kidney parenchyma.

Associations of perceived stress and state anger with symptom burden and functional status in patients with heart failure

Background: Psychosocial stress and anger trigger cardiovascular events, but their relationship to heart failure (HF) exacerbations is unclear. We investigated perceived stress and anger associations with HF functional status and symptoms. Methods and Results: In a prospective cohort study (BETRHEART), 144 patients with HF (77% male; 57.5 ± 11.5 years) were evaluated for perceived stress (Perceived Stress Scale; PSS) and state anger (STAXI) at baseline and every 2 weeks for 3 months. Objective functional status (6-min walk test; 6MWT) and health status (Kansas City Cardiomyopathy Questionnaire; KCCQ) were also measured biweekly. Linear mixed model analyses indicated that average PSS and greater than usual increases in PSS were associated with worsened KCCQ scores. Greater than usual increases in PSS were associated with worsened 6MWT. Average anger levels were associated with worsened KCCQ, and increases in anger were associated with worsened 6MWT. Adjusting for PSS, anger associations were no longer statistically significant. Adjusting for anger, PSS associations with KCCQ and 6MWT remained significant. Conclusion: In patients with HF, both perceived stress and anger are associated with poorer functional and health status, but perceived stress is a stronger predictor. Negative effects of anger on HF functional status and health status may partly operate through psychological stress.

Negative affectivity and social inhibition are associated with increased cardiac readmission in patients with heart failure: A preliminary observation study

Background

Type D personality was hypothesized to influence clinical and patient-centered outcomes patients with heart failure. The aim of this study was to investigate the association between negative affectivity and social inhibition components of Type D personality and cardiac readmission in patients with heart failure.

Methods

A prospective observational study design was used. A total of 222 patients with heart failure were recruited from the department of cardiology in two regional hospitals in Taiwan. The 14-item Type D Scale-Taiwanese version was used to assess negative affectivity and social inhibition of the patients. Logistic regression analyses were conducted to determine the association of both Z-score transformed and dichotomized negative affectivity and social inhibition with 6-month and 18-month cardiac readmissions.

Results

A total of 55 patients (24.8%) and 89 patients (40.1%) had cardiac readmissions within 6 months and 18 months, respectively. Multiple logistic regression analyses of Z-score transformed negative affectivity and social inhibition were significantly associated with (1) 6-month cardiac readmission with odds ratios of 1.62 (P = 0.003) and 1.48 (P = 0.014), respectively and (2) 18-month cardiac readmission with odds ratios of 1.45 (P = 0.013) and 1.38 (P = 0.031), respectively. Similar findings were obtained when negative affectivity and social inhibition were analyzed as dichotomized scores.

Conclusions

Negative affectivity and social inhibition components of the Type D personality were significantly associated with a higher risk of cardiac readmission in both 6 months and 18 months after the initial hospitalization in patients with heart failure.

Short-term rehospitalisation or death and determinants after admission for acute heart failure in a cohort of African patients in Port Harcourt, southern Nigeria

BACKGROUND

Heart failure (HF) is a major health burden globally and contributes significantly to morbidity and mortality related to cardiovascular disease. The aim of this study was to determine the outcome, and factors determining these outcomes in patients admitted for acute HF and followed up for six months.

METHOD

This was a hospital-based, prospective study. Subjects included consecutive patients with a confirmed diagnosis of acute HF admitted to the medical wards of the University of Port Harcourt Teaching Hospital (UPTH) in Nigeria over one year. All had a full physical examination and relevant investigations, including echocardiography. Subjects were followed up for six months and reassessed for outcome/endpoint, which was rehospitalisation or death. Factors that predicted these outcomes were also determined.

RESULTS

There were 160 subjects, 84 females and 76 males, age range 20 to 87 years, mean age 52.49 ± 13.89 years. Sixteen subjects (10.0%) were lost to follow up, 66 (41.3%) showed clinical improvement, 57 (35.6%) were rehospitalised, while 21 (13.1%) died. Determinants of rehospitalisation were New York Heart Association (NYHA) class, heart failure type, haemoglobin level at presentation and estimated glomerular filtration rate (eGFR). Determinants of mortality were NYHA class and haemoglobin level at presentation.

CONCLUSION

Heart failure rehospitalisation and mortality rates of 35.6 and 13.1%, respectively, were high compared to developed countries.

Prognostic Utility of Troponin I and N Terminal-ProBNP among Patients with Heart Failure due to Non-Ischemic Cardiomyopathy and Important Correlations

BACKGROUND

Heart Failure (HF) is accompanied by a high cost of care and gloomy prognosis despite recent advances in its management. Therefore, efforts to minimize HF rehospitalizations is a major focus of several studies.

METHODS

We conducted a retrospective cohort study of 140 patients 18 years and above who had baseline clinical parameters, echocardiography, NT-ProBNP, troponin I and other laboratory parameters following a 3-year electronic medical record review. Patients with coronary artery disease, preserved ejection fraction, pulmonary embolism, cancer, and end-stage renal disease were excluded.

RESULTS

Of the 140 patients admitted with HF with reduced Ejection Fraction (HFrEF) secondary to non-ischemic cardiomyopathy, 15 were re-hospitalized within 30 days of discharge while 42 were rehospitalized within 6 months after discharge for decompensated HF. Receiver operating characteristic (ROC) cutoff points were obtained for NT-ProBNP at 5178 pg/ml and serum troponin I at 0.045 ng/ml. After Cox regression analysis, patients with HFrEF who had higher hemoglobin levels had reduced odds of re-hospitalization (p = 0.007) within 30 days after discharge. NT-ProBNP and troponin I were independent predictors of re-hospitalization at 6 months after discharge (p = 0.047 and p = 0.02), respectively, after Cox regression analysis.

CONCLUSION

Troponin I and NT-ProBNP at admission are the best predictors of re-hospitalization 6 months after discharge among patients with HFrEF. Hemoglobin is the only predictor of 30 -day rehospitalization among HFrEF patients in this study. High-risk patients may require aggressive therapy to improve outcomes.

Moving From Heart Failure Guidelines to Clinical Practice: Gaps Contributing to Readmissions in Patients With Multiple Comorbidities and Older Age

This feature article for the thematic series on congestive heart failure (CHF) readmissions aims to outline important gaps in guidelines for patients with multiple comorbidities and the elderly. Congestive heart failure diagnosis manifests as a 3-phase journey between the hospital and community, during acute, chronic stable, and end-of-life (palliative) phases. This journey requires in variable intensities a combination of multidisciplinary care within tertiary hospital or ambulatory care from hospital outpatients or primary health services, within the general community. Management goals are uniform, ie, to achieve the lowest New York Heart Association class possible, with improvement in ejection fraction, by delivering gold standard therapies within a CHF program. Comorbidities are an important common denominator that influences outcomes. Comorbidities include diabetes mellitus, chronic obstructive airways disease, chronic renal impairment, hypertension, obesity, sleep apnea, and advancing age. Geriatric care includes the latter as well as syndromes such as frailty, falls, incontinence, and confusion. Many systems still fail to comprehensively achieve all aspects of such programs. This review explores these factors.

Effects of a multidisciplinary disease management programme with or without exercise training for heart failure patients: Secondary analysis of a randomized controlled trial

BACKGROUND

Heart failure is a complex syndrome that causes substantial functional impairment and poor outcomes. Although multidisciplinary disease management programmes are effective, the role of additional outpatient-based exercise training and the effects of multidisciplinary disease management programmes for patients with contraindications to exercise training are unclear.

OBJECTIVES

To compare the effects of the multidisciplinary disease management programme with and without exercise training on heart failure-related rehospitalization, disease knowledge, and functional capacity.

DESIGN

Secondary analysis of a randomized controlled trial.

PARTICIPANTS AND SETTING

Data for 212 patients hospitalized for heart failure at a local teaching hospital in Taiwan were analysed.

METHODS

Patients' data were assigned to three groups: control (n = 71), multidisciplinary disease management programme without exercise training (n = 70) or multidisciplinary disease management programme with exercise training (n = 71). The multidisciplinary disease management programme included comprehensive assessments, individualized education, optimizing medications, pre-scheduled clinic visits, and encouraging regular physical activity at home. Outpatient-based exercise training was performed only in the multidisciplinary disease management programme with exercise training group. The control and the multidisciplinary disease management programme without exercise training groups were further divided into subgroups with and without contraindications to exercise training. Patients were followed up monthly for heart failure-related rehospitalizations for 1 year. Cox proportional hazard models and Kaplan-Meier analyses were used to identify the significant predictors of heart failure-related rehospitalizations. A generalized estimation equation model was used to analyse the secondary outcomes, including disease knowledge and 6-min walking distance at baseline and 6 and 12 months after discharge.

RESULTS

At 12 months after discharge, the multidisciplinary disease management programme with and without exercise training groups had significantly lower heart failure-related rehospitalization rates and better disease knowledge compared with the control group (p < 0.01). Only the multidisciplinary disease management programme with exercise training group had a significant improvement in 6-min walking distance (p < 0.05). For patients with contraindications to exercise, the multidisciplinary disease management programme significantly reduced heart failure-related rehospitalization rates at 12 months after discharge (p < 0.05). For those without contraindications, the event-lowering effect was only noted for the multidisciplinary disease management programme with exercise training group (p < 0.05).

CONCLUSIONS

Outpatient-based exercise training is recommended to be incorporated into multidisciplinary disease management programmes for patients without exercise contraindications to improve disease outcomes and functional capacity. For patients with contraindications to exercise, a multidisciplinary disease management programme is recommended to improve patient outcomes.

Risk prediction for 30-day heart failure-specific readmission or death after discharge: Data from the Korean Acute Heart Failure (KorAHF) registry

BACKGROUND

Identifying patients with acute heart failure (HF) at high risk for readmission or death after hospital discharge will enable the optimization of treatment and management. The objective of this study was to develop a risk score for 30-day HF-specific readmission or death in Korea.

METHODS

We analyzed the data from the Korean Acute Heart Failure (KorAHF) registry to develop a risk score. The model was derived from a multiple logistic regression analysis using a stepwise variable selection method. We also proposed a point-based risk score to predict the risk of 30-day HF-specific readmission or death by simply summing the scores assigned to each risk variable. Model performance was assessed using an area under the receiver operating characteristic curve (AUC), the Hosmer-Lemeshow goodness-of-fit test, the net reclassification improvement (NRI), and the integrated discrimination improvement (IDI) index to evaluate discrimination, calibration, and reclassification, respectively.

RESULTS

Data from 4566 patients aged ≥40 years were included in the analysis. Among them, 446 (9.8%) had 30-day HF-specific readmission or death. The final model included 12 independent variables (age, New York Heart Association functional class, clinical history of hypertension, HF admission, chronic obstructive pulmonary disease, etiology of cardiomyopathy, systolic blood pressure, left ventricular ejection fraction, serum sodium, brain natriuretic peptide, N-terminal prohormone of brain natriuretic peptide at discharge, and prescription of β-blockers and angiotensin-converting enzyme inhibitors or angiotensin II receptor antagonists at discharge). The point risk score showed moderate discrimination (AUC of 0.710; 95% confidence interval, 0.685-0.735) and good calibration (χ²=8.540, p=0.3826).

CONCLUSIONS

The risk score for the prediction of the risk of 30-day HF-specific readmission or death after hospital discharge was developed using 12 predictors. It can be utilized to guide appropriate interventions or care strategies for patients with HF.

Numeracy, Health Literacy, Cognition, and 30-Day Readmissions among Patients with Heart Failure

BACKGROUND

Numeracy, health literacy, and cognition are important for chronic disease management. Prior studies have found them to be associated with poorer selfcare and worse clinical outcomes, but limited data exists in the context of heart failure (HF), a condition that requires patients to monitor their weight, fluid intake, and dietary salt, especially in the posthospitalization period.

OBJECTIVE

To examine the relationship between numeracy, health literacy, and cognition with 30-day readmissions among patients hospitalized for acute decompensated HF (ADHF).

DESIGN, SETTING, PATIENTS

The Vanderbilt Inpatient Cohort Study is a prospective longitudinal study of adults hospitalized with acute coronary syndromes and/or ADHF. We studied 883 adults hospitalized with ADHF.

MEASUREMENTS

During their hospitalization, a baseline interview was performed in which demographic characteristics, numeracy, health literacy, and cognition were assessed. Through chart review, clinical characteristics were determined. The outcome of interest was 30-day readmission to any acute care hospital. To examine the association between numeracy, health literacy, cognition, and 30-day readmissions, multivariable Poisson (log-linear) regression was used.

RESULTS

Of the 883 patients admitted for ADHF, 23.8% (n = 210) were readmitted within 30 days; 33.9% of the study population had inadequate numeracy skills, 24.6% had inadequate/marginal literacy skills, and 53% had any cognitive impairment. Numeracy and cognition were not associated with 30-day readmissions. Though (objective) health literacy was associated with 30-day readmissions in unadjusted analyses, it was not in adjusted analyses.

CONCLUSIONS

Numeracy, health literacy, and cognition were not associated with 30-day readmission among this sample of patients hospitalized with ADHF.

Predictors of Frequent Readmissions in Patients With Heart Failure

BACKGROUND

Patients with heart failure (HF) have a high incidence of hospital readmissions. However risk models that explore predictors of a single readmission may be less useful at identifying the patients with frequent readmissions who contribute to a disproportionately large proportion of morbidity and health care costs.

METHODS

A total of 6252 patients enrolled in the Management of Cardiac Failure Program (MACARF) in Northern Sydney Area Hospitals between 1998 and 2015 were randomly divided into derivation and validation cohorts to create and test a risk model for predictors of ≥2 readmissions or death within 1year of initial hospitalisation for HF.

RESULTS

Multivariate predictors of frequent (≥2) readmissions or death were a history of ischaemic heart disease and chronic kidney disease, being unmarried, having anaemia, low serum albumin, elevated creatinine, prolonged hospital stay (>7 days), and not receiving beta blockers on discharge. Event rates increased with a higher risk score (p<0.001) and the prediction was similar in the validation and derivation cohorts (p=0.588). The C-statistic was 0.65.

CONCLUSIONS

Our risk score may assist in focussing health care resources and interventions by identifying the subset of HF patients at increased risk for a disproportionately high burden of disease.

Clinical presentation at first heart failure hospitalization does not predict recurrent heart failure admission

Aims

There are limited data on whether clinical presentation at first heart failure (HF) hospitalization predicts recurrent HF events. We aimed to assess predictors of recurrent HF hospitalizations in mild HF patients with an implantable cardioverter defibrillator or cardiac resynchronization therapy with defibrillator.

Methods and results

Data on HF hospitalizations were prospectively collected for patients enrolled in MADIT‐CRT. Predictors of recurrent HF hospitalization (HF2) after the first HF hospitalization were assessed using Cox proportional hazards regression models including baseline covariates and clinical presentation or management at first HF hospitalization. There were 193 patients with first HF hospitalization, and 156 patients with recurrent HF events. Recurrent HF rate after the first HF hospitalization was 43% at 1 year, 52% at 2 years, and 55% at 2.5 years. Clinical signs and symptoms, medical treatment, or clinical management of HF at first HF admission was not predictive for HF2. Baseline covariates predicting recurrent HF hospitalization included prior HF hospitalization (HR = 1.59, 95% CI: 1.15–2.20, P = 0.005), digitalis therapy (HR = 1.58, 95% CI: 1.13–2.20, P = 0.008), and left ventricular end‐diastolic volume >240 mL (HR = 1.62, 95% CI: 1.17–2.25, P = 0.004).

Conclusions

Recurrent HF events are frequent following the first HF hospitalization in patients with implanted implantable cardioverter defibrillator or cardiac resynchronization therapy with defibrillator. Neither clinical presentation nor clinical management during first HF admission was predictive of recurrent HF. Prior HF hospitalization, digitalis therapy, and left ventricular end‐diastolic volume at enrolment predicted recurrent HF hospitalization, and these covariates could be used as surrogate markers for identifying a high‐risk cohort.

Obesity paradox in heart failure patients - Female gender characteristics-KAMC-single center experience

Background/Introduction

The correlation between low body mass index (BMI) and congestive heart failure (obesity paradox) has been described in the literature; However, the association between BMI and clinical outcome measures is not well characterized. Little is known about CHF in the Middle Eastern female population; most of the gender-specific information on heart failure comes from higher income “Western” countries.

Objectives

We aimed to identify the correlation between heart failure patients especially those with low BMI and clinical/safety outcome measures with focusing on female patients subgroup characteristics.

Methods

We performed group comparisons of statistically relevant variables using prospectively collected data of HFrEF patients hospitalized over a 12 month period.

Results

The 167 patients (Group I) enrolled by this study with mean age of 59.64 ± 12.9 years, an EF score of 23.96 ± 10.14, 62.9% had ischemic etiology, 12.5% were smoker, 18% had AF, 31.1% had received ICD/CRT-D and an estimated 8.85 ± 9.5 days length of stay (LOS). The low BMI group of patients (Group II) had means age of 58.7 ± 14.5 years, a significant lower EF score of 20.32 ± 8.58, significantly higher 30, 90 days readmission rates and in-house mortality (22%, 36.6% and 17.1% vs 10.2%, 20.4% and 6.6% respectively) and higher rates of CVA, TIA and unexplained syncope (19.5% vs 7.2%). Similarly, female patients with low BMI (Group IV) had lower EF score of 22.0 ± 53, higher 30,90 days readmission rates and in-house mortality (34.4%,43.8% and 25% vs 13.5%,21.6% and 5.4% respectively) and higher rates of CVA, TIA and unexplained syncope(10% vs 0%).

Conclusion

Our findings showed that heart failure patients with low BMI had poor adverse clinical outcome measures (poor EF, recurrent readmission, mortality and composite rates of CVA, TIA and unexplained syncope) which reflect the effect of obesity paradox in those patients with HFrEF. Female patient subgroup showed similar characteristic findings which also might reflect the value of gender-specific BMI related clinical outcomes.

Prevalence of anemia and its influence on hospital readmissions and emergency department visits in outpatients with heart failure

Background:

Anemia is a frequent comorbidity in patients with heart failure. However, the incidence of anemia in patients with heart failure varies widely, and there is limited evidence on the association between anemia and rehospitalization and on the health consequences of anemia in patients with heart failure.

Aims:

We aimed to identify the prevalence of anemia and its influence on hospital readmissions and emergency department visits in outpatients with heart failure.

Methods:

This cross-sectional study included 284 patients with heart failure diagnosed at outpatient cardiology clinics at a tertiary care university hospital in Cheonan, South Korea. We obtained socio-demographic and clinical information, including frequency of readmissions and emergency department visits, using face-to-face interviews and medical record reviews.

Results:

The prevalence of anemia, defined based on World Health Organization guidelines, was 39.1% among patients with heart failure. Anemia was significantly more prevalent among patients with one or more re-admissions or emergency department visits compared with patients with no history of hospital re-admissions or emergency department visits (42.7% vs. 13.9% ( p = 0.001) and 55.1% vs. 34% ( p = 0.002) respectively). Anemia increased the risk of hospital readmission (odds ratio =8.04, 95% confidence interval, 2.19–29.54) and emergency department visit (odds ratio=2.37, 95% confidence interval, 1.22–4.60) in patients with heart failure.

Conclusion:

It is imperative that patients with heart failure presenting with anemia undergo appropriate nursing assessment and intervention. Future prospective studies targeting interventions to improve anemia are required to determine whether anemia influences readmission rates and emergency department visits.

Association of global and disease-specific health status with outcomes following continuous-flow left ventricular assist device implantation

BACKGROUND

The prognostic value of heart failure specific and global health status before and after left ventricular assist device (LVAD) implantation in the usual care setting is not well studied.

METHODS

We included 3,836 continuous-flow LVAD patients in the INTERMACS registry. Health status was measured pre-operatively and 3 months post-LVAD using the Kansas City Cardiomyopathy Questionnaire (KCCQ) and EuroQol visual analog scale (VAS). Primary outcomes were mortality/rehospitalization. Inverse propensity weighting was used to minimize bias from missing data.

RESULTS

Pre-operative global and heart failure-specific health status were very poor: KCCQ median 34.6 (IQR 21.4-50.5); VAS median 43 (interquartile range (IQR) 25-65). Health status measures improved 3 months after LVAD placement: KCCQ median 69.3 (IQR 54.2-82.3); VAS median 75 (IQR 60-85). Pre-operative health status was not associated with death (unadjusted HR for lowest vs. highest score quartiles: 1.09 (0.85-1.41) KCCQ; 1.12 (0.85-1.49) VAS) or rehospitalization (unadjusted HR 0.83 (0.72-0.96) KCCQ; 0.99 (0.85-1.16) VAS). Three-month KCCQ was associated with mortality (unadjusted HR 2.17 (1.47-3.21); VAS was not (1.43 (0.94-2.17). Three-month KCCQ added incremental discriminatory value to the HeartMate II Risk Score for death (c-stat 0.60 to 0.66); VAS did not (c-stat 0.59 to 0.60). Three-month health status was associated with rehospitalization (unadjusted HR 1.31 (1.15-1.57) KCCQ; 1.24 (1.05-1.46) VAS), but did not add incremental discriminatory value (c-stat 0.52 to 0.55 and 0.54, respectively).

CONCLUSIONS

These real-world data suggest that pre-operative health status has limited association with outcomes after LVAD. However, persistently low health status after surgery may independently signal higher risk for subsequent death. Further study is needed to determine the clinical utility of routinely collected health status data after LVAD implantation.

The effect on patient outcomes of a nursing care and follow-up program for patients with heart failure: A randomized controlled trial

BACKGROUND

Heart failure is associated with exacerbated symptoms such as dyspnea and edema and results in frequent hospitalization and a poor quality of life. With the adoption of a comprehensive nursing care and follow-up program, patients with heart failure may exhibit improvements in their self-care capabilities and their hospitalizations may be reduced.

OBJECTIVE

The purpose of this study was to examine the effect of a nursing care and follow-up program for patients with heart failure on self-care, quality of life, and rehospitalization.

DESIGN AND SETTING

This research was conducted as a single-center, single-blind, randomized controlled study at the heart failure outpatient clinic of a university hospital in Turkey.

PARTICIPANTS

A total of 90 patients with heart failure were randomly assigned into either the specialized nursing care group (n=45) or the control group (n=45).

METHODS

The nursing care and follow-up program applied in the intervention group was based on the Theory of Heart Failure Self-care. Data were collected at the beginning of the trial, and at three and six months after the study commenced. Self-care of the patients was assessed by the Self-Care of Heart Failure Index. Quality of life was assessed with the "Left Ventricular Dysfunction Scale". Rehospitalization was evaluated based on information provided by the patients or by hospital records.

RESULTS

A statistically significant difference was found between the intervention and control group with respect to the self-care and quality of life scores at both three and six months. While the intervention group experienced fewer rehospitalizations at three months, no significant differences were found at six months.

CONCLUSION

The results obtained in this study show that the nursing care and follow-up program implemented for patients with heart failure improved self-care and quality of life. Although there were no significant differences between the groups at six months, fewer rehospitalizations in the intervention group was considered to be an important result.

Use of Biomarkers to Predict Readmission for Congestive Heart Failure

Acute decompensated heart failure (ADHF) is a major reason for repeated hospitalizations. Identifying those patients with ADHF at risk for readmission is critical so that preventive interventions can be implemented. Biomarkers such as B-type natriuretic peptide (BNP), high-sensitivity troponin I, and galectin-3 (Gal-3) assessed at discharge may be useful, although their role in predicting short-term readmission is not well defined in the literature. We enrolled and had follow-up data for 101 participants admitted to our facility from April 2013 to March 2015 with a primary diagnosis of ADHF. Gal-3, high-sensitivity troponin I, and BNP were obtained within 48 hours before hospital discharge after management of ADHF. Gal-3 was assessed using 2 commercially available assays. We compared subjects who were and were not readmitted. Discharge BNP was found to be a significant predictor of 30- and 60-day readmission (area under the curve [AUC] 0.69 [p = 0.046], AUC 0.7 [p = 0.005], respectively). The addition of Gal-3 to discharge BNP provided significantly improved prediction of 60-day readmission. Gal-3 alone was found to be a significant predictor of 60-day readmission in patients with preserved ejection fraction (AUC 0.85, p <0.001). The net reclassification improvement was 55.2 (p = 0.037). Using multivariate analysis, for every 100 pg/L BNP increase, the probability of readmission increased by approximately 10%, and for every 1-ng/ml Gal-3 increase, the probability further increased 8%. A statistically significant net reclassification improvement was not found on examination of 30-day readmission. In conclusion, measurement of both Gal-3 and BNP at hospital discharge provides significant prediction of hospital readmission within 60 days. When combined, the prediction of readmission is significantly improved.

Patient and clinical characteristics that heighten risk for heart failure readmission

BACKGROUND

Within 30 days of hospital discharge, heart failure (HF) readmission rates nationally accumulate to more than 20%. Due to this high rate of unplanned re-hospitalization, predictive models are needed to identify patients who pose the highest readmission risk.

OBJECTIVE

To evaluate the diagnosis and timing and to identify patient and clinical characteristics associated with 30 day readmissions among HF patients.

METHODS

A retrospective analysis of electronic health records was conducted to study HF admissions during the period October 2008 to November 2014. Patients with a primary discharge diagnosis consistent with HF were included. Descriptive statistics were used to compare the readmitted and non-readmitted cohorts. Logistic regression was used to develop a predictive model to determine patient and clinical variables associated with 30 day readmission.

RESULTS

Characteristics of the study cohort (n = 2420) are: a mean age of 72, predominantly male (55%), white (55%), currently not employed (91%), and utilizing Medicare as a payer (68%). Overall, 42% were married. Over the study time period there were 394 (16.3%) 30 day readmissions after 2420 hospitalizations. The 3 most common reasons for readmission were HF (36.0%), renal disorders (8.4%), and other cardiac diseases (6.9%). Analysis showed that 11.9% of patients readmitted during days 0-3, 15.2% during days 4-7, 31.5% during days 8-15, and 41.4% during days 16-30. The final multivariate predictive model included 5 variables that were associated with an increased risk for 30-day readmission: employment status as retired or disabled, > 1 emergency department visit in the past 90 days, length of stay >5 days during index visit, and a BUN value > 45 mg/dL.

CONCLUSION

This study provides a deeper understanding of patient and clinical characteristics that are associated with readmission in HF. Evaluation of these characteristics will provide additional information to guide strategies meant to reduce HF readmission rates.

Factors affecting nurses' intent to assess for depression in heart failure patients

The association between depression and cardiovascular disease has been well established and has been shown to decrease patients' quality of life and increase the risk of mortality, frequency and duration of hospitalization, and health care costs. The inpatient setting provides a potentially valuable opportunity to assess and treat depression among patients with acute cardiac illness, allowing for daily monitoring of treatment side effects. Although systematic depression screening appears to be feasible, efficient, and well accepted on inpatient cardiac units, the current lack of consistent inpatient assessment for depression in heart failure patients suggests the presence of barriers influencing the effective diagnosis and treatment of depression among inpatients with heart failure. The theory of planned behavior describes the cognitive mechanism by which behavioral intent is formed, giving some insight into how nurses' attitudes and beliefs affect their performance of routine depression screening. In addition, application of this cognitive theory suggests that nurses may be influenced to adopt more positive attitudes and beliefs about depression through educational intervention, leading to greater likelihood of routine assessment for depression, ultimately leading to more timely diagnosis and treatment and improved patient outcomes.

Psychological stress and short-term hospitalisations or death in patients with heart failure

OBJECTIVE

Standard predictors do not fully explain variations in the frequency and timing of heart failure (HF) adverse events (AEs). Psychological stress can trigger acute cardiovascular (CV) events, but it is not known whether stress can precipitate AEs in patients with HF. We investigated prospective associations of psychological stress with AEs in patients with HF.

METHODS

144 patients with HF (77% male; 57.5±11.5, range 23-87 years, left ventricular ejection fraction ≤40%) were longitudinally evaluated for psychological stress (Perceived Stress Scale) and AEs (CV hospitalisations/death) at 2-week intervals for 3 months and at 9-month follow-up.

RESULTS

42 patients (29.2%) had at least one CV hospitalisation and nine (6.3%) died. Patients reporting high average perceived stress across study measurements had a higher likelihood of AEs during the study period compared with those with lower stress (odds ratio=1.10, 95% confidence interval=1.04 to 1.17). In contrast to average levels, increases in stress did not predict AEs (p=0.96). Perceived stress was elevated after a CV hospitalisation (B=2.70, standard error (SE)=0.93, p=0.004) suggesting that CV hospitalisations increase stress. Subsequent analysis indicated that 24 of 38 (63%) patients showed a stress increase following hospitalisation. However, a prospective association between stress and AEs was present when accounting for prior hospitalisations (B=2.43, SE=1.23, p=0.05).

CONCLUSIONS

Sustained levels of perceived stress are associated with increased risk of AEs, and increased distress following hospitalisation occurs in many, but not all, patients with HF. Patients with chronically high stress may be an important target group for HF interventions aimed at reducing hospitalisations.

Use of High-Sensitivity Troponin T to Identify Patients With Acute Heart Failure at Lower Risk for Adverse Outcomes: An Exploratory Analysis From the RELAX-AHF Trial

OBJECTIVES

The aim of this study was to determine if a baseline high-sensitivity troponin T (hsTnT) value ≤99th percentile upper reference limit (0.014 μg/l ["low hsTnT"]) identifies patients at low risk for adverse outcomes.

BACKGROUND

Approximately 85% of patients who present to emergency departments with acute heart failure are admitted. Identification of patients at low risk might decrease unnecessary admissions.

METHODS

A post-hoc analysis was conducted from the RELAX-AHF (Serelaxin, Recombinant Human Relaxin-2, for Treatment of Acute Heart Failure) trial, which randomized patients within 16 h of presentation who had systolic blood pressure >125 mm Hg, mild to moderate renal impairment, and N-terminal pro-brain natriuretic peptide ≥1,600 ng/l to serelaxin versus placebo. Linear regression models for continuous endpoints and Cox models for time-to-event endpoints were used.

RESULTS

Of the 1,076 patients with available baseline hsTnT values, 107 (9.9%) had low hsTnT. No cardiovascular (CV) deaths through day 180 were observed in the low-hsTnT group compared with 79 CV deaths (7.3%) in patients with higher hsTnT. By univariate analyses, low hsTnT was associated with lower risk for all 5 primary outcomes: 1) days alive and out of the hospital by day 60; 2) CV death or rehospitalization for heart failure or renal failure by day 60; 3) length of stay; 4) worsening heart failure through day 5; and 5) CV death through day 180. After multivariate adjustment, only 180-day CV mortality remained significant (hazard ratio: 0.0; 95% confidence interval: 0.0 to 0.736; p = 0.0234; C-index = 0.838 [95% confidence interval: 0.798 to 0.878]).

CONCLUSIONS

No CV deaths through day 180 were observed in patients with hsTnT levels ≤0.014 μg/l despite high N-terminal pro-brain natriuretic peptide levels. Low baseline hsTnT may identify patients with acute heart failure at very low risk for CV mortality.

Factors associated with 30-day readmission of patients with heart failure from a Japanese administrative database

Background

Numerous studies have been conducted in many countries to identify the factors associated with readmission of patients with heart failure (HF). However, there have been no such studies utilizing a large-scale administrative database in Japan. This study aimed to establish the factors associated with 30-day readmission of patients with HF using a Japanese nationwide administrative database.

Methods

Data of the index admissions of 68,257 patients discharged from 1057 participating hospitals between April 1, 2012 and March 31, 2013 were analyzed. Patients were divided into the 30-day readmission group and no readmission group according to whether unplanned HF readmission occurred within 30 days after discharge. Study variables included age, sex, New York Heart Association functional class (NYHA) at admission, Charlson Comorbidity Index (CCI), length of stay in hospital (LOS), body mass index (BMI) at admission, hospital volume reflected by the number of cases hospitalized with HF, and medical treatment at discharge.

Results

The 30-day readmission and no readmission groups included 4479 and 63,778 patients, respectively. The independent factors associated with the increase in 30-day readmission were older age, higher NYHA, higher CCI, and use of the following drugs at discharge: beta blockers, loop diuretics, thiazide, and nitrates. In contrast, the independent factors associated with the decrease in 30-day readmission were longer LOS, higher BMI, and the use of angiotensin converting enzyme inhibitors (ACEs) or angiotensin II receptor blockers (ARBs), calcium channel blockers, and spironolactone.

Conclusions

The results suggest that, especially during the first few weeks after discharge, careful management of HF outpatients with advanced age, high disease severity, multiple comorbidities, or taking beta blockers, loop diuretics, thiazide, and nitrates at discharge may be crucial for reducing the 30-day readmission rate.

Relation of Acute Heart Failure Hospital Length of Stay to Subsequent Readmission and All-Cause Mortality

Heart failure (HF) hospitalization length of stay (LOS) has been associated with the risk of subsequent readmission and mortality. We identified 19,927 hospitalized patients with HF who were discharged alive from 2008 to 2011 from 3 Kaiser Permanente regions. In adjusted Cox models using LOS 3 to 4 days as the reference category, shorter LOS was not significantly associated with hospital readmissions. LOS of 5 to 10 days was associated with 17% greater risk of readmission within 30 days (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.07 to 1.28) and 9% greater risk within 1 year (HR 1.09, 95% CI 1.03 to 1.15). LOS of 11 to 29 days was associated with increased readmission risk of 52% at 30 days (HR 1.52, 95% CI 1.30 to 1.76) and 25% at 1 year (HR 1.25, 95% CI 1.16 to 1.35). Mortality risk within 30 days among those with LOS of 1 day was 47% lower (HR 0.53, 95% CI 0.43 to 0.65) and 32% lower at 1 year (HR 0.68, 95% CI 0.62 to 0.74). LOS of 2 days was associated with lower mortality risk of 17% (HR 0.83, 95% CI 0.76 to 0.90) at 1 year. At LOS 5 to 10 days, 30-day and 1-year risk of mortality was increased by 52% (HR 1.52, 95% CI 1.30 to 1.76) and 25% (HR 1.25, 95% CI 1.16 to 1.35), respectively. LOS of 11 to 29 days was associated with 171% higher mortality risk at 30 days (HR 2.71, 95% CI 2.19 to 3.35) and 73% at 1 year (HR 1.73, 95% CI 1.53 to 1.97). Longer LOS during the index HF hospitalization was associated with readmission and mortality within 30 days and 1 year independent of co-morbidities and cardiovascular risk factors. These results suggest that LOS may be a proxy for the severity of HF during the index hospitalization.

Predicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data

BACKGROUND

Older adults remain the highest utilization group with unplanned visits to emergency departments and hospital admissions. Many have considered what leads to this high utilization and the answers provided have depended upon the independent measures available in the datasets used. This project was designed to further understanding of the reasons for older adult ED visits and admissions to acute care hospitals.

METHODS

A secondary analysis of data from a cross-national sample of community residing elderly, 60 years of age or older, and most of whom received services from a local home-care program was conducted. The assessment instrument used in this study is the interRAI HC (home care), designed for use in assessing elderly home care recipients. The model specification stage of the study identified the baseline independent variables that do and do not predict the follow-up measure of hospitalization and ED use. Stepwise logistic regression was used next to identify characteristics that best identified elders who subsequently entered a hospital or visited an ED. The items generated from the final multivariate logistic equation using the interRAI home care measures comprise the interRAI Hospital-ED Risk Index.

RESULTS

Independent measures in three key domains of clinical complications, disease diagnoses and specialized treatments were related to subsequent hospitalization or ED use. Among the eighteen clinical complication measures with higher, meaningful odds ratios are pneumonia, urinary tract infection, fever, chest pain, diarrhea, unintended weight loss, a variety of skin conditions, and subject self-reported poor health. Disease diagnoses with a meaningful relationship with hospital/ED use include coronary artery disease, congestive heart failure, cancer, emphysema and renal failure. Specialized treatments with the highest odds ratios were blood transfusion, IV infusion, wound treatment, radiation and dialysis. Two measures, Alzheimer's disease and day care appear to have a protective effect for hospitalization/ED use with lower odds ratios.

CONCLUSIONS

Examination into "preventable" hospitalizations and re-hospitalizations for older adults who have the highest rates of utilization are occurring beneath an umbrella of assuring the highest quality of care and controlling costs. The interRAI Hospitalization-ED Risk Index offers an effective approach to predicting hospitalization utilization among community dwelling older adults.

B-type natriuretic peptide predicts 30-day readmission for heart failure but not readmission for other causes

BACKGROUND

B-type natriuretic peptide (BNP) is a marker for heart failure (HF) severity, but its association with hospital readmission is not well defined.

METHODS AND RESULTS

We identified all hospital discharges (n=109 875) with a primary diagnosis of HF in the Veterans Affairs Health Care System from 2006 to 2009. We examined the association between admission (n=53 585), discharge (n=24 326), and change in BNP (n=7187) and 30-day readmission for HF or other causes. Thirty-day HF readmission was associated with elevated admission BNP, elevated discharge BNP, and smaller percent change in BNP from admission to discharge. Patients with a discharge BNP ≥ 1000 ng/L had an unadjusted 30-day HF readmission rate over 3 times as high as patients whose discharge BNP was ≤ 200 ng/L (15% vs. 4.1%). BNP improved discrimination and risk classification for 30-day HF readmission when added to a base clinical model, with discharge BNP having the greatest effect (C-statistic, 0.639 to 0.664 [P<0.0001]; net reclassification improvement, 9% [P<0.0001]). In contrast, 30-day readmission for non-HF causes was not associated with BNP levels during index HF hospitalization.

CONCLUSIONS

In this study of over 50 000 veterans hospitalized with a primary diagnosis of HF, BNP levels measured during hospitalization were associated with 30-day HF readmission, but not readmissions for other causes. These data may help guide future study aimed at identifying the optimal timing for hospital discharge and help allocate high-intensity, HF-specific transitional care interventions to the patients most likely to benefit.

The Effect of Educational Intervention on Nurses' Attitudes and Beliefs about Depression in Heart Failure Patients

Systematic depression screening is feasible, efficient, and well accepted; however the lack of consistent assessment in heart failure inpatients suggests barriers preventing its effective diagnosis and treatment. This pilot study assessed the impact of an educational intervention on nurses' beliefs about depression and their likelihood of routinely screening heart failure patients. Registered nurses (n = 35) from adult medical-surgical units were surveyed before and after an educational intervention to assess their beliefs about depression prevalence and screening in heart failure patients. There was no significant influence on nurses' beliefs about depression, but the results suggested an increased likelihood that nurses would routinely screen for depression. The moderately significant correlation between beliefs and intent to screen for depression indicates that educational intervention could ultimately have a positive influence on patient outcomes through early detection and treatment of depression in patients with cardiovascular disease; however the observed increase in the intent to screen without a corresponding change in beliefs indicates other influences affecting nurses' intent to screen heart failure patients for depression.