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Risk stratification using the CHA2DS2-VASc score in patients with coronary heart disease undergoing percutaneous coronary intervention; sub-analysis of SHINANO registry.

ABSTRACT: CHADS2 or CHA2DS2-VASc score is used for prediction of stroke in patients with atrial fibrillation (AF). Recently, CHADS2 score is reported to have prognostic value in acute coronary syndrome without AF. However, clinical validation of CHA2DS2-VASc score for prognostic stratification in coronary heart disease (CHD) without AF remains uncertain. In this study, we evaluate whether CHA2DS2-VASc score could predict clinical outcome in CHD without known AF.SHINANO registry was a prospective, observational, multicenter cohort study, enrolling 1923 consecutive patients with CHD from August 2012 to July 2013. Two hundred nine patients were excluded because of known AF. We calculated CHA2DS2-VASc score in the remaining 1714 patients (mean age 70 ± 11 years, 23% female) without known AF. To assess the clinical validation of CHA2DS2-VASc score, we divided patients into 3 groups according to the tertiles (score 0-2, 3-4, and ≥ 5). The primary endpoint was MACE including death, nonfatal myocardial infarction, and ischemic stroke at 1 year.One-year follow-up was completed in 1632 patients (95.2%). Cumulative incidence of MACE was 139 cases. In Kaplan-Meier analysis, incidence of MACE was significantly higher in patients with CHA2DS2-VASc score ≥ 5 compared to 3-4 and 0-2 (14.6% vs. 6.8% vs. 5.3%, p < 0.001). In multivariate Cox-regression analysis, CHA2DS2-VASc score was an independent predictor for MACE (hazard ratio 1.26, 95% confidence interval 1.15-1.39p < 0.001).This study demonstrated that CHA2DS2-VASc score could provide prognostic information in CHD without known AF.

SUBMITTER: Hioki H

PROVIDER: S-EPMC5497243 | biostudies-other | 2015 Jun

REPOSITORIES: biostudies-other

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Project description:OBJECTIVES:To provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI). DESIGN:A retrospective cohort study was conducted. SETTING:The Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan. PARTICIPANTS:Overall, 669?181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes. MAIN OUTCOME MEASURES:In-hospital death. RESULTS:The study population (n=669?181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334?591), while the remaining 50% was used for model validation (n=334?590). Using the derivation cohort, both 'full' and 'preprocedure' risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure. CONCLUSIONS:These simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients' presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.

Project description:BackgroundPercutaneous coronary intervention (PCI) has been shown to improve health-related quality of life (HRQoL) in patients with coronary artery disease (CAD). The objectives of this study were to assess the changes in HRQoL and factors influencing these changes in CAD patients after undergoing PCI.MethodsData from a nationwide PCI registry across 39 hospitals in Thailand were collected in 2018-2019, including baseline characteristics, comorbid diseases, angiographic CAD severity, procedural details, and type of health insurance. HRQoL, as measured by utility scores, was determined in all patients using the Thai version of EQ-5D-5l at admission, discharge, and 6 and 12 months after discharge. The effects of time after PCI procedure and various factors on mean utility scores were assessed using a mixed-effect linear regression model.ResultsA total of 19,701 patients were included in the analysis; they had a mean age of 64.2 ± 11.7 years and were predominantly (69.1%) male. Following PCI, the mean utility scores increased from 66.6 ± 19.6 at admission to 81.9 ± 13.8 at discharge, and remained stable at 6 and 12 months (86.1 ± 12.3 and 88.0 ± 11.7, respectively). After adjusting for potential confounding variables, several factors were found to be independently associated with improved HRQoL, including angiographic success, male gender, overweight status, dyslipidemia, and radial access. Six other factors were associated with less improved HRQoLs, including cardiogenic shock/IABP support, old age, CKD, clinical presentation (STEMI and NSTEMI), prior cerebrovascular disease, and heart failure. There were no associations of CAD severity and procedural details with HRQoL. No differences were found related to type of health insurance, except that patients who were uninsured or self-pay tended to have less improvement in HRQoL.ConclusionHRQoL improved significantly after PCI in these subjects, as observed through 1 year of follow-up. Identifying the factors influencing these improvements may assist clinicians in tailoring patient interventions to optimise quality of life after PCI.

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.

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Risk stratification using the CHA2DS2-VASc score in patients with coronary heart disease undergoing percutaneous coronary intervention; sub-analysis of SHINANO registry.

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