Dataset Information

Evaluation of Novel Metrics of Symptom Relief in Acute Heart Failure: The Worst Symptom Score.

ABSTRACT:

Objective

To characterize a novel "worst"-symptom visual analogue scale (WS-VAS) versus the traditional dyspnea visual analogue scale (DVAS) in an acute heart failure (AHF) trial.

Background

AHF trials assess symptom relief as a pivotal endpoint with the use of dyspnea scores. However, many AHF patients' worst presenting symptom (WS) may not be dyspnea. We hypothesized that a WS-VAS may reflect clinical improvement better than DVAS in AHF.

Methods and results

AHF patients (n = 232) enrolled in the Renal Optimization Strategies Evaluation in Acute Heart Failure (ROSE-AHF) Trial indicated their WS at enrollment and completed DVAS and WS-VAS at enrollment and 24, 48, and 72 hours. Dyspnea was the WS in 61%, body swelling in 29%, and fatigue in 10% of patients. Clinical characteristics differed by WS. In all patients, DVAS scores were higher (less severe symptoms) than WS-VAS and the change in WS-VAS over 72 hours was greater than the change in DVAS (P < .001). Changes in DVAS were smaller in patients with body swelling and fatigue than in patients with dyspnea as their WS (P = .002), whereas changes in the WS-VAS were similar regardless of patients' WS. Neither score, nor its change, was associated with available decongestion markers (change in N-terminal pro-B-type natriuretic peptide, weight or cumulative 72-hour urine volume).

Conclusions

Many AHF patients have symptoms other than dyspnea as their most bothersome symptom. The WS-VAS better reflects symptom improvement across the spectrum of AHF phenotypes. Symptom relief and decongestion were not correlated in this AHF study.

SUBMITTER: AbouEzzeddine OF

PROVIDER: S-EPMC4916018 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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Publications

Evaluation of Novel Metrics of Symptom Relief in Acute Heart Failure: The Worst Symptom Score.

AbouEzzeddine Omar F OF Wong Yee Weng YW Mentz Robert J RJ Raza Sadi S SS Nativi-Nicolau Jose J Kociol Robb D RD McNulty Steven E SE Anstrom Kevin J KJ Hernandez Adrian F AF Redfield Margaret M MM

Journal of cardiac failure 20151221 11

<h4>Objective</h4>To characterize a novel "worst"-symptom visual analogue scale (WS-VAS) versus the traditional dyspnea visual analogue scale (DVAS) in an acute heart failure (AHF) trial.<h4>Background</h4>AHF trials assess symptom relief as a pivotal endpoint with the use of dyspnea scores. However, many AHF patients' worst presenting symptom (WS) may not be dyspnea. We hypothesized that a WS-VAS may reflect clinical improvement better than DVAS in AHF.<h4>Methods and results</h4>AHF patients ( ...[more]

PMID: 26718344

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Project description:BackgroundCongestion is the most frequent cause for hospitalization in acute decompensated heart failure. Although decongestion is a major goal of acute therapy, it is unclear how the clinical components of congestion (eg, peripheral edema, orthopnea) contribute to outcomes after discharge or how well decongestion is maintained.Methods and resultsA post hoc analysis was performed of 496 patients enrolled in the Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure (DOSE-AHF) and Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARRESS-HF) trials during hospitalization with acute decompensated heart failure and clinical congestion. A simple orthodema congestion score was generated based on symptoms of orthopnea (≥2 pillows=2 points, <2 pillows=0 points) and peripheral edema (trace=0 points, moderate=1 point, severe=2 points) at baseline, discharge, and 60-day follow-up. Orthodema scores were classified as absent (score of 0), low-grade (score of 1-2), and high-grade (score of 3-4), and the association with death, rehospitalization, or unscheduled medical visits through 60 days was assessed. At baseline, 65% of patients had high-grade orthodema and 35% had low-grade orthodema. At discharge, 52% patients were free from orthodema at discharge (score=0) and these patients had lower 60-day rates of death, rehospitalization, or unscheduled visits (50%) compared with those with low-grade or high-grade orthodema (52% and 68%, respectively; P=0.038). Of the patients without orthodema at discharge, 27% relapsed to low-grade orthodema and 38% to high-grade orthodema at 60-day follow-up.ConclusionsIncreased severity of congestion by a simple orthodema assessment is associated with increased morbidity and mortality. Despite intent to relieve congestion, current therapy often fails to relieve orthodema during hospitalization or to prevent recurrence after discharge.Clinical trial registrationURL: http://www.clinicaltrials.gov. Unique identifiers: NCT00608491, NCT00577135.

Project description:BackgroundCongestion is a primary driver of symptoms in patients with acute heart failure, and relief of congestion is a critical goal of therapy. Monitoring of response to therapy through the assessment of daily weights and net fluid loss is the current standard of care, yet the relationship between commonly used markers of decongestion and both patient reported symptom relief and clinical outcomes are unknown.Methods and resultsWe performed a retrospective analysis of the randomized clinical trial, diuretic optimization strategy evaluation in acute heart failure (DOSE-AHF), enrolling patients hospitalized with a diagnosis of acute decompensated heart failure. We assessed the relationship among 3 markers of decongestion at 72 hours-weight loss, net fluid loss, and percent reduction in serum N terminal B-type natriuretic peptide (NT-proBNP) level-and relief of symptoms as defined by the dyspnea visual analog scale area under the curve. We also determined the relationship between each marker of decongestion and 60-day clinical outcomes defined as time to death, first rehospitalization or emergency department visit. Mean age was 66 years, mean ejection fraction was 35%, and 27% had ejection fraction ≥50%. Of the 3 measures of decongestion assessed, only percent reduction in NT-proBNP was significantly associated with symptom relief (r=0.13; P=0.04). There was no correlation between either weight loss or net fluid loss and symptom relief, (r=0.04; P=0.54 and r=0.07; P=0.27, respectively). Favorable changes in each of the 3 markers of decongestion were associated with improvement in time to death, rehospitalization, or emergency department visit at 60 days (weight: hazard ratio, 0.91; 95% confidence interval, 0.85-0.97 per 4 lbs; weight lost; fluid hazard ratio, 0.94; 95% confidence interval, 0.90-0.99 per 1000 mL fluid loss; NT-proBNP hazard ratio, 0.95; 95% confidence interval, 0.91-0.99 per 10% reduction). These associations were unchanged after multivariable adjustment with the exception that percent reduction in NT-proBNP was no longer a significant predictor (hazard ratio, 0.97; 95% confidence interval, 0.93-1.02). The rates of death, HF hospitalization, or emergency department visit at 60 days for patients with 0, 1, 2, and 3 markers of decongestion (above the median) were 67%, 64%, 46%, and 38%, respectively (log rank P value=0.05).ConclusionsWeight loss, fluid loss, and NT-proBNP reduction at 72 hours are poorly correlated with dyspnea relief. However, favorable improvements in each of the 3 markers were associated with improved clinical outcomes at 60 days. These data suggest the need for ongoing research to understand the relationships among symptom relief, congestion, and outcomes in patients with acute decompensated heart failure.Clinical trial registrationURL: http://www.clinicaltrials.gov. UNIQUE IDENTIFIER: NCT00577135.

Project description:Background: Acute heart failure (AHF) represents a leading cause of unscheduled hospital stays, frequent rehospitalisations, and mortality worldwide. The aim of our study was to develop a bedside prognostic tool, a multivariable predictive risk score, that is useful in daily practice, thus providing an early prognostic evaluation at admission and an accurate risk stratification after discharge in patients with AHF. Methods: This study is a subanalysis of the STADE HF study, which is a single-centre, prospective, randomised controlled trial enrolling 123 patients admitted to hospital for AHF. Here, 117 patients were included in the analysis, due to data exhaustivity. Regression analysis was performed to determine predictive variables for one-year mortality and/or rehospitalisation after discharge. Results: During the first year after discharge, 23 patients died. After modellisation, the variables considered to be of prognostic relevance in terms of mortality were (1) non-ischaemic aetiology of HF, (2) elevated creatinine levels at admission, (3) moderate/severe mitral regurgitation, and (4) prior HF hospitalisation. We designed a linear model based on these four independent predictive variables, and it showed a good ability to score and predict patient mortality with an AUC of 0.84 (95%CI: 0.76-0.92), thus denoting a high discriminative ability. A risk score equation was developed. During the first year after discharge, we observed as well that 41 patients died or were rehospitalised; hence, while searching for a model that could predict worsening health conditions (i.e., death and/or rehospitalisation), only two predictive variables were identified: non-ischaemic HF aetiology and previous HF hospitalisation (also included in the one-year mortality model). This second modellisation showed a more discrete discriminative ability with an AUC of 0.67 (95% C.I. 0.59-0.77). Conclusions: The proposed risk score and model, based on readily available predictive variables, are promising and useful tools to assess, respectively, the one-year mortality risk and the one-year mortality and/or rehospitalisations in patients hospitalised for AHF and to assist clinicians in the management of patients with HF aiming at improving their prognosis.

Project description:Rationale & objectiveQuality of life in chronic kidney disease (CKD) is impaired by a large burden of symptoms including some that overlap with the symptoms of heart failure (HF). We studied a group of individuals with CKD to understand the patterns and trajectories of HF-type symptoms in this setting.Study designProspective cohort study.Setting & participants3,044 participants in the Chronic Renal Insufficiency Cohort (CRIC) without prior diagnosis of HF.PredictorsSociodemographics, medical history, medications, vital signs, laboratory values, echocardiographic and electrocardiographic parameters.OutcomeTrajectory over 5.5 years of a HF-type symptom score (modified Kansas City Cardiomyopathy Questionnaire [KCCQ] Overall Summary Score with a range of 0-100 where<75 reflects clinically significant symptoms).Analytical approachLatent class mixed models were used to model trajectories. Multinomial logistic regression was used to model relationships of predictors with trajectory group membership.ResultsFive trajectories of KCCQ score were identified in the cohort of 3,044 adults, 45% of whom were female, and whose median age was 61 years. Group 1 (41.7%) had a stable high score (minimal symptoms, average score of 96); groups 2 (35.6%) and 3 (15.6%) had stable but lower scores (mild symptoms [average of 81] and clinically significant symptoms [average of 52], respectively). Group 4 (4.9%) had a substantial worsening in symptoms over time (mean 31-point decline), and group 5 (2.2%) had a substantial improvement (mean 33-point increase) in KCCQ score. A majority of group 1 was male, without diabetes or obesity, and this group had higher baseline kidney function. A majority of groups 2 and 3 had diabetes and obesity. A majority of group 4 was male and had substantial proteinuria. Group 5 had the highest proportion of baseline cardiovascular disease (CVD).LimitationsNo validation cohort available, CKD management changes in recent years may alter trajectories, and latent class models depend on the missing at random assumption.ConclusionsDistinct HF-type symptom burden trajectories were identified in the setting of CKD, corresponding to different baseline characteristics. These results highlight the diversity of HF-type symptom experiences in individuals with CKD.

Dataset Information

Evaluation of Novel Metrics of Symptom Relief in Acute Heart Failure: The Worst Symptom Score.

Objective

Background

Methods and results

Conclusions

Publications

Evaluation of Novel Metrics of Symptom Relief in Acute Heart Failure: The Worst Symptom Score.

Similar Datasets

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