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Hospital mortality in acute coronary syndrome: adjustment of GRACE score by D-dimer enables a more accurate prediction in a prospective cohort study.

ABSTRACT: BACKGROUD:To assess the value of D-dimer and its combination with The Global Registry of Acute Coronary Events (GRACE) score in predicting in-hospital mortality in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). METHODS:In 5923 ACS patients undergoing PCI, the role of D-dimer and the added value of D-dimer to GRACE score for predicting in-hospital mortality were tested. RESULTS:After multivariable adjustment, D-dimer could significantly predict in-hospital mortality. Also, it could significantly improve the prognostic performance of GRACE score (C-statistic: z?=?2.269, p?=?0.023; IDI: 0.016, p?=?0.032; NRI: 0.291, p?=?0.035). CONCLUSION:In patients with ACS undergoing PCI, D-dimer was an independent predictor of in-hospital death. It could also improve the prognostic performance of GRACE score.

SUBMITTER: Yu T

PROVIDER: S-EPMC6842504 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Hospital mortality in acute coronary syndrome: adjustment of GRACE score by D-dimer enables a more accurate prediction in a prospective cohort study.

Yu Tongtong T Jiao Yundi Y Song Jia J He Dongxu D Wu Jiake J Sun Zhijun Z Sun Zhaoqing Z

BMC cardiovascular disorders 20191110 1

<h4>Backgroud</h4>To assess the value of D-dimer and its combination with The Global Registry of Acute Coronary Events (GRACE) score in predicting in-hospital mortality in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).<h4>Methods</h4>In 5923 ACS patients undergoing PCI, the role of D-dimer and the added value of D-dimer to GRACE score for predicting in-hospital mortality were tested.<h4>Results</h4>After multivariable adjustment, D-dimer could si ...[more]

PMID: 31707974

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Project description:AimsThe aim of the study was to evaluate whether knowledge of the circulating concentration of growth differentiation factor 15 (GDF-15) adds predictive information to the Global Registry of Acute Coronary Events (GRACE) score, a validated scoring system for risk assessment in non-ST-elevation acute coronary syndrome (NSTE-ACS). We also evaluated whether GDF-15 adds predictive information to a model containing the GRACE score and N-terminal pro-B-type natriuretic peptide (NT-proBNP), a prognostic biomarker already in clinical use.Methods and resultsThe GRACE score, GDF-15, and NT-proBNP levels were determined on admission in 1122 contemporary patients with NSTE-ACS. Six-month all-cause mortality or non-fatal myocardial infarction (MI) was the primary endpoint of the study. To obtain GDF-15- and NT-proBNP-adjusted 6-month estimated probabilities of death or non-fatal MI, statistical algorithms were developed in a derivation cohort (n = 754; n = 66 reached the primary endpoint) and applied to a validation cohort (n = 368; n = 33). Adjustment of the GRACE risk estimate by GDF-15 increased the area under the receiver-operating characteristic curve (AUC) from 0.79 to 0.85 (P < 0.001) in the validation cohort. Discrimination improvement was confirmed by an integrated discrimination improvement (IDI) of 0.055 (P = 0.005). A net 31% of the patients without events were reclassified into lower risk, and a net 27% of the patients with events were reclassified into higher risk, resulting in a total continuous net reclassification improvement [NRI(>0)] of 0.58 (P = 0.002). Addition of NT-proBNP to the GRACE score led to a similar improvement in discrimination and reclassification. Addition of GDF-15 to a model containing GRACE and NT-proBNP led to a further improvement in model performance [increase in AUC from 0.84 for GRACE plus NT-proBNP to 0.86 for GRACE plus NT-proBNP plus GDF-15, P = 0.010; IDI = 0.024, P = 0.063; NRI(>0) = 0.42, P = 0.022].ConclusionWe show that a single measurement of GDF-15 on admission markedly enhances the predictive value of the GRACE score and provides moderate incremental information to a model including the GRACE score and NT-proBNP. Our study is the first to provide simple algorithms that can be used by the practicing clinician to more precisely estimate risk in individual patients based on the GRACE score and a single biomarker measurement on admission. The rigorous statistical approach taken in the present study may serve as a blueprint for future studies exploring the added value of biomarkers beyond clinical risk scores.

Project description:Background The Global Registry of Acute Coronary Events (GRACE) score derived from clinical parameters at the time of hospital discharge is a powerful predictor of long-term mortality and reinfarction after acute coronary syndrome (ACS). The triglyceride glucose (TyG) index, which is a simple and reliable surrogate marker of insulin resistance, has been demonstrated to be an independent predictor of long-term adverse major adverse cardiac events, irrespective of diabetes mellitus. We investigate whether the addition of the TyG index improves the predictive ability of the GRACE score after percutaneous coronary intervention (PCI) in ACS patients regardless of diabetes mellitus. Method A retrospective cohort of 986 ACS patients undergoing PCI was enrolled in the present analyses. The GRACE score for discharge to 6 months and the TyG index were calculated. The primary endpoint was the composite of MACEs, including all-cause death and nonfatal myocardial infarction. Patients were stratified according to the primary endpoint and the tertiles of the TyG index. Cumulative curves were calculated using the Kaplan–Meier method. Multivariate Cox regression was adopted to identify predictors of MACEs. The predictive value of the GRACE score alone and combined with the TyG index or fasting blood glucose (FBG) was estimated by the area under the receiver‑operating characteristic curve, likelihood ratio test, Akaike’s information criteria, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Internal validation was assessed using the means of bootstrap method with 1000 bootstrapped samples. Results During a median follow-up of 30.72 months ((interquartile range, 26.13 to 35.07 months), 90 patients developed MACEs, more frequently in the patients with a higher TyG index. Multivariate Cox hazards regression analysis found that the TyG index, but not FBG was an independent predictor of MACEs (hazard ratio 1.6542; 95% CI 1.1555–2.3681; P = 0.006) in all types of ACS regardless of diabetes mellitus when included in the same model as GRACE score. Furthermore, Kaplan–Meier analysis revealed that the incidence of the primary endpoint rose with increasing TyG index tertiles (log-rank, P < 0.01). Adjustment the GRACE score by the TyG index improved the predictive ability for MACEs (increase in C-statistic value from 0.735 to 0.744; NRI, 0.282, 95% CI 0.028–0.426, P = 0.02; IDI, 0.019, 95% CI 0.004–0.046, P = 0.01). Likelihood ratio test showed that the TyG index significantly improved the prognostic ability of the GRACE score (χ2 = 12.37, 1 df; P < 0.001). The results remained consistent when the models were confirmed by internal bootstrap validation method. Conclusion The TyG index, but not FBG is an independent predictor of long-term MACEs after PCI in all types of ACS patients regardless of diabetes mellitus after adjusting for the GRACE score, and improves the ability of the GRACE score to stratify risk and predict prognosis of ACS patients undergoing PCI. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01582-w.

Project description:AimsThe GRACE and CHA2DS2-VASc risk score are developed for risk stratification in patients with acute coronary syndrome and AF, respectively. We aimed to assess the predictive performance of the GRACE score and CHA2DS2-VASc score among patients with atrial fibrillation (AF) undergoing percutaneous coronary intervention (PCI).MethodsConsecutive patients with a diagnosis of AF admitted to our hospital for PCI between January 2016 and December 2018 were included and followed up for at least 1 year. The primary endpoint was a composite of major adverse cardiac events (MACEs) including all-cause mortality, repeat revascularization, myocardial infarction, or ischaemic stroke.ResultsA total of 1452 patients were identified. Cox regression demonstrated that the GRACE (HR 1.014, 95% CI 1.008-1.020, p < 0.001) but not the CHA2DS2-VASc score was associated with the risk of MACEs. Both GRACE and CHA2DS2-VASc scores were predictive of all-cause mortality with HR of 1.028 (95% CI 1.020-1.037, p < 0.001) and 1.334 (95% CI 1.107-1.632, p = 0.003). Receiver operating characteristic analyses showed both scores had similar discrimination capacity for all-cause mortality (C-statistic: 0.708 for GRACE vs. 0.661 for CHA2DS2-VASc, p = 0.299). High GRACE score was also significantly associated with increased risk of ischaemic stroke (HR 1.018, 95% CI 1.005-1.031, p = 0.006) and major bleeding (HR 1.012, 95% CI 1.001-1.024, p = 0.039), whereas high CHA2DS2-VASc score was not.ConclusionsHigh GRACE score but not CHA2DS2-VASc score were both associated with an increased risk of MACEs after PCI in patients with AF. The GRACE and CHA2DS2-VASc scores have similar predictive performance for predicting all-cause mortality.Key messages:In patients with AF undergoing PCI, increasing GRACE but not CHA2DS2-VASc scores was independently associated high risk of MACEs.The GRACE score could also help identify patients at higher risk of stroke and major bleeding.Both GRACE and CHA2DS2-VASc scores showed good ability in the prediction of all-cause mortality.

Dataset Information

Hospital mortality in acute coronary syndrome: adjustment of GRACE score by D-dimer enables a more accurate prediction in a prospective cohort study.

Publications

Hospital mortality in acute coronary syndrome: adjustment of GRACE score by D-dimer enables a more accurate prediction in a prospective cohort study.

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