Dataset Information

Development and Validation of R-hf Risk Score in Acute Heart Failure Patients in the Middle East.

ABSTRACT:

Objectives

The Rajan's heart failure (R-hf) score was proposed to aid risk stratification in heart failure patients. The aim of this study was to validate R-hf risk score in patients with acute decompensated heart failure.

Methods

R-hf risk score is derived from the product estimated glomerular filtration rate (mL/min), left ventricular ejection fraction (%), and hemoglobin levels (g/dL) divided by N-terminal pro-brain natriuretic peptide (pg/mL). This was a multinational, multicenter, prospective registry of heart failure from seven countries in the Middle East. Univariable and multivariable logistic regression was applied.

Results

A total of 776 patients (mean age = 62.0±14.0 years, 62.4% males; mean left ventricular ejection fraction = 33.0±14.0%) were included. Of these, 459 (59.1%) presented with acute decompensated chronic heart failure. The R-hf risk score group (≤ 5) was marginally associated with a higher risk of all-cause cumulative mortality at three months (adjusted odds ratio (aOR) = 4.28; 95% CI: 0.90-20.30; p =0.067) and significantly at 12 months (aOR = 3.84; 95% CI: 1.23-12.00; p =0.021) when compared to those with the highest R score group (≥ 50).

Conclusions

Lower R-hf risk scores are associated with increased risk of all-cause cumulative mortality at three and 12 months.

SUBMITTER: Rajan R

PROVIDER: S-EPMC10477947 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Development and Validation of R-hf Risk Score in Acute Heart Failure Patients in the Middle East.

Rajan Rajesh R Al Jarallah Mohammed M Al-Zakwani Ibrahim I Dashti Raja R Sulaiman Kadhim K Panduranga Prashanth P Brady Peter A PA Kobalava Zhanna Z

Oman medical journal 20230731 4

<h4>Objectives</h4>The Rajan's heart failure (R-hf) score was proposed to aid risk stratification in heart failure patients. The aim of this study was to validate R-hf risk score in patients with acute decompensated heart failure.<h4>Methods</h4>R-hf risk score is derived from the product estimated glomerular filtration rate (mL/min), left ventricular ejection fraction (%), and hemoglobin levels (g/dL) divided by N-terminal pro-brain natriuretic peptide (pg/mL). This was a multinational, multice ...[more]

PMID: 37674520

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Project description:Background Our aim was to calibrate and externally revalidate the ELAN-HF (European Collaboration on Acute Decompensated Heart Failure) score, to confirm and improve on a previous external validation of the risk score. Methods and Results The ELAN-HF score predicts 6-month all-cause mortality in patients hospitalized for acute decompensated heart failure using absolute and percentage change of NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels in addition to clinical variables. For the external validation, we used the PRIMA II (Can NT-proBNP-Guided Therapy During Hospital Admission for Acute Decompensated Heart Failure Reduce Mortality and Readmissions?) trial. For both data sets, observed versus predicted mortality was compared for the 4 risk categories; and the mean predicted mortality was plotted against the observed mortality with calculation of a correlation coefficient and SEE. The model discriminant ability was determined by comparing the C-statistics for both data sets. The predicted versus actual 6-month mortality values in the derivation cohort were 3.7% versus 3.6% for the low-risk category, 9.4% versus 9.2% for the intermediate-risk category, 24.2% versus 23.5% for the high-risk category, and 54.2% versus 51.1% for the very-high-risk category. The correlation between predicted and observed mortality by deciles was 0.92, with an SEE of ±4%. In the validation cohort, predicted versus actual 6-month mortality values were 3.0% versus 2.2% for the low-risk category, 9.4% versus 8.2% for the intermediate-risk category, 25.0% versus 22.9% for the high-risk category, and 56.8% versus 53.6% for the very-high-risk category. The correlation between predicted and actual mortality by quintiles was 0.99, with an SEE of ±2%. There was no significant difference in C-statistic between the derivation cohort (0.78; 95% CI, 0.74-0.82) and the validation cohort (0.77; 95% CI, 0.69-0.84; P=0.693). Conclusions Our study confirms that the ELAN-HF score predicts accurately 6-month mortality in patients hospitalized for acute decompensated heart failure with the use of easily obtained characteristics.

Project description:AimsThe morbidity and mortality of heart failure with preserved ejection fraction (HFpEF) continue to increase with the accelerating global aging process. During the past decade, the pathophysiology, diagnostic methods, and prognostic prediction of HFpEF have been revolutionized, resulting in new and effective management strategies. Dynamic prognostic assessment facilitates systematic clinical management of patients, and the aim of this study was to investigate the risk factors for mortality in patients with HFpEF and to develop a risk prediction assessment model.Methods and reultsData for the derivation cohort were obtained from three databases, PubMed, Embase, and Cochrane. The validation cohort was obtained from the Chinese Heart Failure Center database. The β-coefficient was calculated based on the risk ratio (RR) and 95% confidence intervals (CI) corresponding to each risk factor to construct a mortality risk assessment model. A total of 30 studies were included in the meta-analysis: 22 prospective cohort studies and 8 retrospective cohort studies, including 34 196 HFpEF patients. Seven predictors of all-cause mortality in HFpEF patients were derived. Considering the need for feasibility in clinical practice, we performed subgroup and sensitivity analyses and determined the following cutoff values: age > 75 years (RR: 2.07, 95% CI: 1.83-2.35; P < 0.001), male sex (RR: 1.36, 95% CI: 1.17-1.59; P < 0.001), DM (RR: 1.23, 95% CI: 1.11-1.36; P < 0.001), anaemia (RR: 1.53, 95% CI: 1.41-1.67; P < 0.001), albumin concentration < 3.2 g/dL (RR: 1.29, 95% CI: 1.14-1.47; P < 0.001), AF (RR: 1.27, 95% CI: 1.12-1.43; P < 0.001), and NYHA class III/IV (RR: 1.63, 95% CI: 1.43-1.87; P < 0.001). The area under the receiver operating characteristic (ROC) curve (AUC) for this model was 71.3% (95% CI: 0.696-0.736), with an optimal cut-off value of 10.75. The sensitivity and specificity were 0.778 and 0.566, respectively. According to this risk score, we divided patients into three risk classes (low, moderate, and high risk), the numbers of patients who died by the end of the 1-year follow-up were 23 (1.87%), 82 (5.62%), and 382 (15.52%) in these three groups, and the 5-year mortality rates were 9.82%, 20.68%, and 43.28%, respectively.ConclusionsThis study developed an HF-DANAS scoring system for the HFpEF mortality risk containing seven predictors, providing clinicians with a simple assessment tool that can help improve clinical management.

Project description:BackgroundHeart failure (HF) is a complex clinical syndrome with high mortality. Current risk stratification approaches lack precision. High-throughput proteomics could improve risk prediction. Its use in clinical practice to guide the management of patients with HF depends on validation and evidence of clinical benefit.ObjectiveTo develop and validate a protein risk score for mortality in patients with HF.DesignCommunity-based cohort.SettingSoutheast Minnesota.ParticipantsPatients with HF enrolled between 2003 and 2012 and followed through 2021.MeasurementsA total of 7289 plasma proteins in 1351 patients with HF were measured using the SomaScan Assay (SomaLogic). A protein risk score was derived using least absolute shrinkage and selection operator regression and temporal validation in patients enrolled between 2003 and 2007 (development cohort) and 2008 and 2012 (validation cohort). Multivariable Cox regression was used to examine the association between the protein risk score and mortality. The performance of the protein risk score to predict 5-year mortality risk was assessed using calibration plots, decision curves, and relative utility analyses and compared with a clinical model, including the Meta-Analysis Global Group in Chronic Heart Failure mortality risk score and N-terminal pro-B-type natriuretic peptide.ResultsThe development (n = 855; median age, 78 years; 50% women; 29% with ejection fraction <40%) and validation cohorts (n = 496; median age, 76 years; 45% women; 33% with ejection fraction <40%) were mostly similar. In the development cohort, 38 unique proteins were selected for the protein risk score. Independent of ejection fraction, the protein risk score demonstrated good calibration, reclassified mortality risk particularly at the extremes of the risk distribution, and showed greater clinical utility compared with the clinical model.LimitationParticipants were predominantly of European ancestry, potentially limiting the generalizability of the findings to different patient populations.ConclusionValidation of the protein risk score demonstrated good calibration and evidence of predicted benefits to stratify the risk for death in HF superior to that of clinical methods. Further studies are needed to prospectively evaluate the score's performance in diverse populations and determine risk thresholds for interventions.Primary funding sourceDivision of Intramural Research at the National Heart, Lung, and Blood Institute of the National Institutes of Health.

Dataset Information

Development and Validation of R-hf Risk Score in Acute Heart Failure Patients in the Middle East.

Objectives

Methods

Results

Conclusions

Publications

Development and Validation of R-hf Risk Score in Acute Heart Failure Patients in the Middle East.

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