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Identifying patients hospitalized with heart failure at risk for unfavorable future quality of life.

ABSTRACT: BACKGROUND:Communicating prognosis to enable shared decision-making is strongly endorsed by heart failure (HF) guidelines. Patients are concerned with both their quantity and quality of life (QoL). To facilitate the recognition of patients at high risk for unfavorable future QoL or death, we created a simple prognostic tool to estimate this combined outcome. METHODS AND RESULTS:We identified factors associated with 6-month mortality or persistently unfavorable QoL, defined by Kansas City Cardiomyopathy Questionnaire (KCCQ) scores <45 at 1 and 24 weeks after hospital discharge, among 1458 patients from the Efficacy of Vasopressin Antagonism in HF Outcome Study with Tolvaptan (EVEREST). Within 24 weeks of discharge, 478 (32.8%) patients had died and 192 (13.2%) patients had serial KCCQ scores <45. After adjusting for 23 predischarge covariates, independent predictors of the combined end point included low admission KCCQ score, high B-type natriuretic peptide, hyponatremia, tachycardia, hypotension, absence of ?-blocker therapy, and history of diabetes mellitus and arrhythmia. A simplified predischarge HF score for subsequent death or unfavorable QoL had moderate discrimination (c-statistic 0.72). Predischarge clinical covariates were substantially different in predicting the QoL end point as compared with traditional death or rehospitalization end points. CONCLUSIONS:At the time of hospital discharge, readily available clinical characteristics are associated with HF patients at high risk for persistently unfavorable QoL or death over the next 6 months. Such information can target patients for whom aggressive treatment options (eg, devices or transplantation) and/or end-of-life discussions should be strongly considered before hospital discharge.

SUBMITTER: Allen LA

PROVIDER: S-EPMC3146801 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Identifying patients hospitalized with heart failure at risk for unfavorable future quality of life.

Allen Larry A LA Gheorghiade Mihai M Reid Kimberly J KJ Dunlay Shannon M SM Chan Paul S PS Hauptman Paul J PJ Zannad Faiez F Konstam Marvin A MA Spertus John A JA

Circulation. Cardiovascular quality and outcomes 20110621 4

<h4>Background</h4>Communicating prognosis to enable shared decision-making is strongly endorsed by heart failure (HF) guidelines. Patients are concerned with both their quantity and quality of life (QoL). To facilitate the recognition of patients at high risk for unfavorable future QoL or death, we created a simple prognostic tool to estimate this combined outcome.<h4>Methods and results</h4>We identified factors associated with 6-month mortality or persistently unfavorable QoL, defined by Kans ...[more]

PMID: 21693723

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Project description:Importance:Given the emerging heart failure (HF) epidemic in China, monitoring and improving the quality of care for heart failure is a top priority. Objectives:To assess the quality of HF care provided to inpatients by examining the adherence to quality measures for HF care at the hospital level and to identify factors associated with the quality of care. Design, Setting, and Participants:In this multicenter, hospital-based, retrospective cross-sectional study in China, medical records of patients hospitalized for HF from January 1, 2015, to December 31, 2015, were analyzed from January 1, 2018, to May 20, 2019. In the first stage, simple random sampling stratified by economic-geographical regions in China was used to generate a list of participating hospitals. In the second stage, 15 538 hospitalizations from the 189 selected hospitals were systematically sampled, and 10 004 HF hospitalizations were included in the final sample. Main Outcomes and Measures:Adherence to the following 4 core performance measures at the hospital level: (1) left ventricular ejection fraction assessment during hospitalization; (2) evidence-based β-blocker (bisoprolol, carvedilol, or metoprolol succinate) for eligible patients at discharge; (3) angiotensin-converting enzyme inhibitors or angiotensin receptor blockers for eligible patients at discharge; and (4) scheduled follow-up appointment at discharge. At the hospital level, a composite performance score (ranging from 0-1) was also calculated by averaging these measures. Results:In total, 10 004 hospital admissions for HF at 189 hospitals were included in this study. The median (interquartile range [IQR]) patient age at admission was 73 (65-80) years, and 5117 (51.1%) of the patients were men. Among all hospitals, the median rate of adherence to measure 1 was 66.7% (IQR, 45.5%-80.7%; range, 0%-100%). The rate for adherence to measure 2 was 14.8% (IQR, 0%-37.5%; range, 0%-81.8%), and the rate for measure 3 was 57.1% (IQR, 36.4%-75.0%; range, 0%-100%). For measure 4, the median rate of adherence was 11.5% (IQR, 3.3%-32.8%; range, 0%-96.7%). The median (IQR) composite performance score across all hospitals was 40.0% (26.9%-51.9%), with a range from 2.2% to 85.4%. The median odds ratios of adherence were 2.2 (95% CI, 2.0-2.4) for measure 1, 2.1 (95% CI, 1.8-2.4) for measure 2, 2.4 (95% CI, 2.0-2.9 for measure 3, and 4.8 (95% CI, 3.9-5.8) for measure 4 among hospitals. Conclusions and Relevance:The findings of this study suggest that quality of care for patients with HF in China may be substandard, and there is wide heterogeneity in the quality of care for HF among hospitals. The findings also suggest the need for a national strategy to improve and standardize the quality of HF care in China.

Project description:BackgroundLoop diuretics are a primary therapy for the symptomatic treatment of heart failure (HF), but whether torsemide improves patient symptoms and quality of life better than furosemide remains unknown. As prespecified secondary end points, the TRANSFORM-HF trial (Torsemide Comparison With Furosemide for Management of Heart Failure) compared the effect of torsemide versus furosemide on patient-reported outcomes among patients with HF.MethodsTRANSFORM-HF was an open-label, pragmatic, randomized trial of 2859 patients hospitalized for HF (regardless of ejection fraction) across 60 hospitals in the United States. Patients were randomly assigned in a 1:1 ratio to a loop diuretic strategy of torsemide or furosemide with investigator-selected dosage. This report examined effects on prespecified secondary end points, which included Kansas City Cardiomyopathy Questionnaire Clinical Summary Score (KCCQ-CSS; assessed as adjusted mean difference in change from baseline; range, 0-100 with 100 indicating best health status; clinically important difference, ≥5 points) and Patient Health Questionnaire-2 (range, 0-6; score ≥3 supporting evaluation for depression) over 12 months.ResultsBaseline data were available for 2787 (97.5%) patients for KCCQ-CSS and 2624 (91.8%) patients for Patient Health Questionnaire-2. Median (interquartile range) baseline KCCQ-CSS was 42 (27-60) in the torsemide group and 40 (24-59) in the furosemide group. At 12 months, there was no significant difference between torsemide and furosemide in change from baseline in KCCQ-CSS (adjusted mean difference, 0.06 [95% CI, -2.26 to 2.37]; P=0.96) or the proportion of patients with Patient Health Questionnaire-2 score ≥3 (15.1% versus 13.2%: P=0.34). Results for KCCQ-CSS were similar at 1 month (adjusted mean difference, 1.36 [95% CI, -0.64 to 3.36]; P=0.18) and 6-month follow-up (adjusted mean difference, -0.37 [95% CI, -2.52 to 1.78]; P=0.73), and across subgroups by ejection fraction phenotype, New York Heart Association class at randomization, and loop diuretic agent before hospitalization. Irrespective of baseline KCCQ-CSS tertile, there was no significant difference between torsemide and furosemide on change in KCCQ-CSS, all-cause mortality, or all-cause hospitalization.ConclusionsAmong patients discharged after hospitalization for HF, a strategy of torsemide compared with furosemide did not improve symptoms or quality of life over 12 months. The effects of torsemide and furosemide on patient-reported outcomes were similar regardless of ejection fraction, previous loop diuretic use, and baseline health status.RegistrationURL: https://www.Clinicaltrialsgov; Unique identifier: NCT03296813.

Project description:BackgroundPatients hospitalized for acute heart failure experience poor health status, including a high burden of symptoms and physical limitations, and poor quality of life. SGLT2 (sodium-glucose cotransporter 2) inhibitors improve health status in chronic heart failure, but their effect on these outcomes in acute heart failure is not well characterized. We investigated the effects of the SGLT2 inhibitor empagliflozin on symptoms, physical limitations, and quality of life, using the Kansas City Cardiomyopathy Questionnaire (KCCQ) in the EMPULSE trial (Empagliflozin in Patients Hospitalized With Acute Heart Failure Who Have Been Stabilized).MethodsPatients hospitalized for acute heart failure were randomized to empagliflozin 10 mg daily or placebo for 90 days. The KCCQ was assessed at randomization and 15, 30, and 90 days. The effects of empagliflozin on the primary end point of clinical benefit (hierarchical composite of all-cause death, heart failure events, and a 5-point or greater difference in KCCQ Total Symptom Score [TSS] change from baseline to 90 days) were examined post hoc across the tertiles of baseline KCCQ-TSS. In prespecified analyses, changes (randomization to day 90) in KCCQ domains, including TSS, physical limitations, quality of life, clinical summary, and overall summary scores were evaluated using a repeated measures model.ResultsIn total, 530 patients were randomized (265 each arm). Baseline KCCQ-TSS was low overall (mean [SD], 40.8 [24.0] points). Empagliflozin-treated patients experienced greater clinical benefit across the range of KCCQ-TSS, with no treatment effect heterogeneity (win ratio [95% CIs] from lowest to highest tertile: 1.49 [1.01-2.20], 1.37 [0.94-1.99], and 1.48 [1.00-2.20], respectively; P for interaction=0.94). Beneficial effects of empagliflozin on health status were observed as early as 15 days and persisted through 90 days, at which point empagliflozin-treated patients experienced a greater improvement in KCCQ TSS, physical limitations, quality of life, clinical summary, and overall summary (placebo-adjusted mean differences [95% CI]: 4.45 [95% CI, 0.32-8.59], P=0.03; 4.80 [95% CI, 0.00-9.61], P=0.05; 4.66 [95% CI, 0.32-9.01], P=0.04; 4.85 [95% CI, 0.77-8.92], P=0.02; and 4.40 points [95% CI, 0.33-8.48], P=0.03, respectively).ConclusionsInitiation of empagliflozin in patients hospitalized for acute heart failure produced clinical benefit regardless of the degree of symptomatic impairment at baseline, and improved symptoms, physical limitations, and quality of life, with benefits seen as early as 15 days and maintained through 90 days.RegistrationURL: https://www.Clinicaltrialsgov; Unique identifier: NCT0415775.

Project description:AimsPredicting the risk of malignant arrhythmias (MA) in hospitalized patients with heart failure (HF) is challenging. Machine learning (ML) can handle a large volume of complex data more effectively than traditional statistical methods. This study explored the feasibility of ML methods for predicting the risk of MA in hospitalized HF patients.Methods and resultsWe evaluated the baseline data and MA events of 2794 hospitalized HF patients in the HF cohort in Anhui Province and randomly divided the study population into training and validation sets in a 7:3 ratio. The Lasso-logistic regression, multivariate adaptive regression splines (MARS), classification and regression tree (CART), random forest (RF), and eXtreme gradient boosting (XGBoost) algorithms were used to construct risk prediction models in the training set, and model performance was verified in the validation set. The area under the receiver operating characteristic curve (AUC) and Brier score were employed to evaluate the discrimination and calibration of the model, respectively. Clinical utility of the Lasso-logistic regression model was analysed using decision curve analysis (DCA). The median (Q1, Q3) age of the study population was 70 (61, 77) years, and 39.5% were female. MA events occurred in 117 patients (4.2%) during hospitalization. In the training set (n = 1964), the AUC of the XGBoost model was 0.998 [95% confidence interval (CI) 0.997-1.000], which was higher than the other models (all P < 0.001). In the validation set (n = 830), there was no significant difference in AUC of Lasso-logistic model 1 [AUC: 0.867 (95% CI 0.819-0.915)], Lasso-logistic model 2 [AUC: 0.828 (95% CI 0.764-0.892)], MARS model [AUC: 0.852 (95% CI 0.793-0.910)], RF model [AUC: 0.804 (95% CI 0.726-0.881)], and XGBoost model [AUC: 0.864 (95% CI 0.810-0.918); all P > 0.05], which were higher than that of CART model [AUC: 0.743 (95% CI 0.661-0.824); all P < 0.05]. Brier scores for all prediction models were less than 0.05. DCA results showed that the Lasso-logistic model had a net clinical benefit. Oral antiarrhythmic drug, left bundle branch block, serum magnesium, d-dimer, and random blood glucose were significant predictors in half or more of the models.ConclusionsThe current study findings suggest that ML models based on the Lasso-logistic regression, MARS, RF, and XGBoost algorithms can effectively predict the risk of MA in hospitalized HF patients. The Lasso-logistic model had better clinical interpretability and ease of use than the other models.

Project description:AimsEarly engagement in advance care planning (ACP) is recommended in heart failure (HF) management. We investigated the preferences of patients with HF regarding ACP and end-of-life (EOL) care, including their desired timing of ACP initiation.Methods and resultsData were collected using a 92-item questionnaire survey, which was directly distributed to hospitalized patients by dedicated physicians and nurses in a university hospital setting. One-hundred eighty-seven patients agreed to participate (response rate: 92.6%), and 171 completed the survey [valid response rate: 84.7%; men: 67.3%; median age: 73.0 (63.0-81.0) years]. Logistic regression analyses were conducted to identify the predictors of positive attitudes towards ACP. Most recognized ACP as important for their care (n = 127, 74.3%), 48.1% stated that ACP should be initiated after repeated HF hospitalizations in the past year, and 29.0% preferred ACP to begin during the first or second HF hospitalization. Only 21.7% of patients had previously engaged in ACP conversations during HF management. Positive attitudes towards ACP were associated with lower depressive symptoms [two-item Patient Health Questionnaire; odds ratio (OR): 0.75, 95% confidence interval (CI): 0.61-0.92, P-value: 0.006], marriage (OR: 2.53, 95% CI: 1.25-5.12, P-value: 0.010), and a high educational level (OR: 2.66, 95% CI: 1.28-5.56, P-value: 0.009), but not with severity of HF (represented by Seattle Heart Failure Model risk score). Regarding EOL care, while 'Saying what one wants to tell loved ones' (83.4%), 'Dying a natural death' (81.8%), and 'Being able to stay at one's favorite place' (75.6%) were the three most important factors for patients, preferences for 'Receiving sufficient treatment' (56.5%) and 'Knowing what to expect about future condition' (50.3%) were divergent.ConclusionsDespite patients' preferences for ACP conversations, there was a discrepancy between preference and engagement in ACP among patients hospitalized for HF. Patients' preferences regarding EOL care may differ; physicians need to consider the appropriate ACP approach to align with patients' care goals.

Dataset Information

Identifying patients hospitalized with heart failure at risk for unfavorable future quality of life.

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Identifying patients hospitalized with heart failure at risk for unfavorable future quality of life.

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