Dataset Information

Validation of R-hf risk score for risk stratification in ischemic heart failure patients: A prospective cohort study.

ABSTRACT:

Background

The aim of this study was to validate R-heart failure (R-hf) risk score in ischemic heart failure patients.

Methods

We prospectively recruited a cohort of 179 ischemic and 107 non-ischemic heart failure patients. This study mainly focused on ischemic heart failure patients. Non-ischemic heart failure patients were included for the purpose of validation of the risk score in various heart failure groups. Patients were stratified in high risk, moderate risk and low risk groups according to R-hf risk score.

Results

A total of 179 participants with ischemic heart failure were included. Based on R-hf risk score, 82 had high risk, 50 had moderate risk and 47 had low risk heart failure scores. More than half of the patients having R-hf score of <5 had renal failure (n = 91, 50.8%) and anemia (n = 99, 55.3%). Notably, HFrEF was more prevalent in patients with high risk score (74, 90.2%). Patients with high risk score had significantly higher creatinine (2.63 ± 1.96, p < 0.001), Troponin-T HS (59.9 ± 38.0, p < 0.001) and PRO BNP (17842 ± 6684, p < 0.001) when compared to patients with low and moderate risk score. Patients with low risk score had significantly higher Hb (13.2 ± 1.85, p < 0.001), Albumin (3.69 ± 0.42, p < 0.001) and GFR (90.0 ± 8.04, p < 0.001). A R-hf score of <5 was a significant predictor of mortality in ischemic (OR = 50.34; 95% CI [16.94-194.00, p < 0.001) and non-ischemic (OR = 46.34; 95% CI [12.97-225.39], p < 0.001) heart failure patients.

Conclusions

Lower R-hf risk score is a significant predictor of mortality in ischemic and non-ischemic heart failure patients. Risk score can be accessed at https://www.hfriskcalc.in.

SUBMITTER: Rajan R

PROVIDER: S-EPMC9382422 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

Validation of R-hf risk score for risk stratification in ischemic heart failure patients: A prospective cohort study.

Rajan Rajesh R Soman Suman Omana SO Al Jarallah Mohammed M Kobalava Zhanna Z Dashti Raja R Al Zakwani Ibrahim I Al Balool Joud J Tse Gary G Setiya Parul P Brady Peter A PA Al-Saber Ahmad A Vijayaraghavan Govindan G

Annals of medicine and surgery (2012) 20220805

<h4>Background</h4>The aim of this study was to validate R-heart failure (R-hf) risk score in ischemic heart failure patients.<h4>Methods</h4>We prospectively recruited a cohort of 179 ischemic and 107 non-ischemic heart failure patients. This study mainly focused on ischemic heart failure patients. Non-ischemic heart failure patients were included for the purpose of validation of the risk score in various heart failure groups. Patients were stratified in high risk, moderate risk and low risk gr ...[more]

PMID: 35992211

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Project description:AimsBecause evidence regarding risk stratification predicting prognosis of patients with heart failure (HF) decompensation attended in primary care is lacking, we developed and externally validated a model to forecast death/hospitalization during the first 30 days after an episode of decompensation. The predictive model is based on variables easily obtained in primary care settings.Methods and resultsHEFESTOS is a multinational study consisting of a derivation cohort of HF patients recruited in 14 primary healthcare centres in Barcelona and a validation cohort from primary healthcare in 9 other European countries. The derivation and validation cohorts included 561 and 250 patients, respectively. Percentages of women in the derivation and validation cohorts were 56.3% and 47.6% (P = 0.026), respectively. Mean age was 82.2 years (SD 8.03) in the derivation cohort, and 79.3 years (SD 10.3) in the validation one (P = 0.001). HF with preserved ejection fraction represented 72.1% in the derivation cohort and 58.8% in the validation one (P = 0.004). Mortality/hospitalization during the first 30 days after a decompensation episode was 30.5% and 26% (P = 0.225) for the derivation and validation cohorts, respectively. Multivariable logistic regression models were performed to develop a score of risk. The identified predictors were worsening of dyspnoea [odds ratio (OR): 2.5; P = 0.001], orthopnoea (OR: 2.16; P = 0.01), paroxysmal nocturnal dyspnoea (OR: 2.25; P = 0.01), crackles (OR: 2.35; P = 0.01), New York Heart Association functional class III/IV (OR: 2.11; P = 0.001), oxygen saturation ≤ 90% (OR: 4.98; P < 0.001), heart rate > 100 b.p.m. (OR: 2.72; P = 0.002), and previous hospitalization due to HF (OR: 2.45; P < 0.001). The model showed an area under the curve (AUC) of 0.807, 95% confidence interval (CI): [0.770; 0.845] in the derivation cohort and AUC 0.73, 95% CI: [0.660; 0.808] in the validation one. No significant differences between both cohorts were observed (P = 0.08). Regarding probability of hospitalization/death, three risk groups were defined: low <5%, medium 5-20%, and high >20%. Outcome incidence was 2.7% for the low-risk group, 12.8% for medium risk, and 46.2% for high risk in the derivation cohort, and 9.1%, 12.9%, and 39.6% in the validation one.ConclusionsThe HEFESTOS score, based on variables easily accessible in a community setting and validated in an external European cohort, properly predicted the risk of death/hospitalization during the first 30 days after an HF decompensation episode.

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.

Project description:AimsEchocardiographic predictors of outcomes in heart failure with preserved ejection fraction (HFpEF) have not been systematically or independently validated. We aimed at identifying echocardiographic predictors of cardiovascular events in a large cohort of patients with HFpEF and to validate these in an independent large cohort.Methods and resultsWe assessed the association between echocardiographic parameters and cardiovascular outcomes in 515 patients with heart failure with preserved left ventricular (LV) ejection fraction (>50%) in the MEtabolic Road to DIAstolic Heart Failure (MEDIA) multicentre study. We validated out findings in 286 patients from the Karolinska-Rennes Prospective Study of HFpEF (KaRen). After multiple adjustments including N-terminal pro-brain natriuretic peptide (NT-proBNP), the significant predictors of death or cardiovascular hospitalization were pulmonary arterial systolic pressure > 40 mmHg, respiratory variation in inferior vena cava diameter > 0.5, E/e' > 9, and lateral mitral annular s' < 7 cm/s. The combination of these four variables differentiated patients with <10% vs. >35% 1 year risk. Adding these four echocardiographic variables on top of clinical variables and NT-proBNP yielded significant net reclassification improvement (33.8%, P < 0.0001) and increase in C-index (5.3%, a change from 72.2% to 77.5%, P = 0.015) of similar magnitude as the addition of NT-proBNP on top of clinical variables alone. In the KaRen cohort, these four variables yielded a similar improvement in net reclassification improvement (22.3%, P = 0.014) and C-index (4.0%, P = 0.029).ConclusionsUse of four simple echocardiographic parameters (within the MEDIA echo score), indicative of pulmonary hypertension, elevated central venous pressure, LV diastolic dysfunction, and LV long-axis systolic dysfunction, independently predicted prognosis and improved risk stratification additionally to clinical variables and NT-proBNP in HFpEF. This finding was validated in an independent cohort.

Project description:ImportanceThe Pooled Cohort Equations to Prevent Heart Failure (PCP-HF) estimate the 10-year risk for symptomatic heart failure (HF) from routine clinical data. The PCP-HF score should detect asymptomatic individuals with cardiac maladaptation preceding HF symptoms for it to be a useful HF prediction tool in primary prevention.ObjectiveTo assess the concordance between PCP-HF risk scoring and the presence of subclinical cardiac maladaptation in the community.Design, setting, and participantsThis cross-sectional analysis included participants enrolled in the Flemish Study on Environment, Genes and Health Outcomes who underwent a clinical examination including echocardiography between May 2005 and January 2015. Participants younger than 30 years, older than 79 years, had prevalent cardiovascular disease, and/or had suboptimal echocardiographic imaging quality were excluded. Analysis began February 2020 and ended April 2020.ExposuresTen-year HF risk as calculated from routine clinical data using the PCP-HF. Based on tertile limits, participants were categorized as having low (≤0.4%), intermediate (0.4%-2.4%), and high (≥2.4%) 10-year HF risk score.Main outcomes and measuresEchocardiographic profiles of subclinical heart remodeling and dysfunction.ResultsA total of 1020 individuals were analyzed (mean [SD] age, 52.8 [11.4] years; 541 female [53.0%]). The prevalence of left ventricular (LV) remodeling and dysfunction was significantly higher from low to intermediate and high 10-year HF risk score. A doubling in 10-year HF risk score was associated with higher odds for LV concentric remodeling (odds ratio [OR], 1.48; 95% CI, 1.36-1.61; P < .001), LV hypertrophy (OR, 1.66; 95% CI, 1.51-1.83; P < .001), abnormal LV longitudinal strain (OR, 1.12; 95% CI, 1.05-1.19; P < .001), and LV diastolic dysfunction (OR, 2.28; 95% CI, 1.94-2.69; P < .001). Moreover, the PCP-HF score detected echocardiographic abnormalities with an accuracy of 74% (LV concentric remodeling), 78% (LV hypertrophy), 59% (abnormal LV longitudinal strain), and 87% (LV diastolic dysfunction). The likelihood of LV concentric remodeling, hypertrophy, and diastolic dysfunction were 3.1, 3.8, and 9.4 times higher in participants with high 10-year HF risk score than the average population risk, respectively (P < .001). Of all PCP-HF score components, age, body mass index, and systolic blood pressure were key correlates of echocardiographic abnormalities in multivariable-adjusted analysis.Conclusions and relevancePCP-HF risk scoring adequately detected individuals with subclinical heart maladaptation that precedes HF symptoms by years. Thus, it may be a valuable HF prediction tool in primary prevention.

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.

Dataset Information

Validation of R-hf risk score for risk stratification in ischemic heart failure patients: A prospective cohort study.

Background

Methods

Results

Conclusions

Publications

Validation of R-hf risk score for risk stratification in ischemic heart failure patients: A prospective cohort study.

Similar Datasets

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