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Clinical SYNTAX Score - a good predictor for renal artery stenosis in acute myocardial infarction patients: analysis from the REN-ACS trial.

ABSTRACT: INTRODUCTION:In ST-elevation myocardial infarction (STEMI) patients, multisite artery disease represents a serious issue influencing evolution, outcomes and prognosis. We evaluated for the first time the power of the Myocardial Infarction SYNTAX Score (MI SS) and Clinical SYNTAX Score (MI CSS) as predictors for renal artery stenosis (RAS) in STEMI. We also stratified the study population according to the two scores, and identified the variables correlated with the higher score. MATERIAL AND METHODS:We used data from the REN-ACS study, which included 181 consecutive patients prospectively investigated for presence of RAS (through renal angiography), arterial stiffness (carotid-femoral pulse wave velocity, cf-PWV) and hydration status (bioimpedance). MI SS and CSS were computed. RESULTS:Multivariate regressions indicated that the independent variables correlated with MI SS were left ventricular ejection fraction < 40%, significant RAS (> 50%, defined as RAS+), history of heart failure, and multivascular coronary disease (CAD, p < 0.03 for each), while those correlated with MI CSS were RAS+, cf-PWV, history of CAD, multivascular CAD, cholesterol, and total body water (p < 0.02 for each). In order to evaluate the ability to predict RAS+ we generated receiver operating characteristics and areas under curves, and the Youden index for MI SS and CSS. CONCLUSIONS:Both scores correlated with extensive atherosclerotic disease and presence of RAS+. A lower CSS proved to be a good predictor for exclusion of RAS+, with high specificity (85%) and negative predictive value (92%), and fair sensitivity (60%). We aim to further pursue this line of research and design a better predictor for RAS, with the inclusion of a novel biomarker in order to increase sensitivity.

SUBMITTER: Burlacu A

PROVIDER: S-EPMC5510498 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Clinical SYNTAX Score - a good predictor for renal artery stenosis in acute myocardial infarction patients: analysis from the REN-ACS trial.

Burlacu Alexandru A Siriopol Dimitrie D Nistor Ionut I Voroneanu Luminita L Nedelciuc Igor I Statescu Cristian C Covic Adrian A

Archives of medical science : AMS 20160606 4

<h4>Introduction</h4>In ST-elevation myocardial infarction (STEMI) patients, multisite artery disease represents a serious issue influencing evolution, outcomes and prognosis. We evaluated for the first time the power of the Myocardial Infarction SYNTAX Score (MI SS) and Clinical SYNTAX Score (MI CSS) as predictors for renal artery stenosis (RAS) in STEMI. We also stratified the study population according to the two scores, and identified the variables correlated with the higher score.<h4>Materi ...[more]

PMID: 28721152

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Project description:Background: Left ventricular diastolic function (LVDF) evaluation using a combination of several echocardiographic parameters is an important predictor of adverse events in patients with acute myocardial infarction (AMI). To date, the clinical impact of each individual LVDF marker is well-known, but the clinical significance of the sum of the abnormal diastolic function markers and the long-term clinical outcome are not well-known. This study aimed to investigate the usefulness of LVDF score in predicting clinical outcomes of patients with AMI. Methods: LVDF scores were measured in a 2,030 patients with AMI who underwent successful percutaneous coronary intervention from 2012 to 2015. Four LVDF parameters (septal e' ≥ 7 cm/s, septal E/e' ≤ 15, TR velocity ≤ 2.8 m/s, and LAVI ≤ 34 ml/m2) were used for LVDF scoring. The presence of each abnormal LVDF parameter was scored as 1, and the total LVDF score ranged from 0 to 4. Mortality and hospitalization due to heart failure (HHF) in relation to LVDF score were evaluated. To compare the predictive ability of LVDF scores and left ventricular ejection fraction (LVEF) for mortality and HHF, receiver operating characteristic (ROC) curve and landmark analyses were performed. Results: Over the 3-year clinical follow-up, all-cause mortality occurred in 278 patients (13.7%), while 91 patients (4.5%) developed HHF. All-cause mortality and HHF significantly increased as LVDF scores increased (all-cause mortality-LVDF score 0: 2.3%, score 1: 8.8%, score 2: 16.7%, score 3: 31.8%, and score 4: 44.5%, p < 0.001; HHF-LVDF score 0: 0.6%, score 1: 1.8%, score 2: 6.3%, score 3: 10.3%, and score 4: 18.2%, p < 0.001). In multivariate analysis, a higher LVDF score was associated with significantly higher adjusted hazard ratios for all-cause mortality and HHF. In landmark analysis, LVDF score was a better predictor of long-term mortality than LVEF (area under the ROC curve: 0.739 vs. 0.640, p < 0.001). Conclusion: The present study demonstrated that LVDF score was a significant predictor of mortality and HHF in patients with AMI. LVDF scores are useful for risk stratification of patients with AMI; therefore, careful monitoring and management should be performed for patients with AMI with higher LVDF scores.

Project description:BACKGROUND:Inability to resume employment after acute myocardial infarction (MI) has important implications for patients. We sought to assess the prevalence of and outcomes associated with adverse change in employment after MI in a national US cohort. METHODS AND RESULTS:The TRANSLATE-ACS study (Treatment with Adenosine Diphosphate Receptor Inhibitors: Longitudinal Assessment of Treatment Patterns and Events after Acute Coronary Syndrome) assessed employment status at baseline and 1 year among 9319 patients with MI (mean age, 60.8 years; SD, 11.3; 27.3% women) enrolled at 233 US hospitals. We defined adverse change in employment as patients working at baseline but working less or not working at 1-year post-MI. In multivariable models, we assessed factors associated with adverse change in employment and its association with patient-reported depression, health status, persistence to evidence-based medications prescribed at discharge, and financial hardship affording medications. Half of the patients (51%; n=4730) were employed at the time of MI. By 1 year, 10% (n=492) of these reported an adverse change in employment, with 3% (n=143) working less and 7% (n=349) no longer working (only 27 of 349 reported retirement). Factors significantly associated with adverse change in employment included a number of unplanned readmissions, postdischarge bleeding complications, hypertension, and smoking. At 1 year, patients with an adverse change in employment were more likely to report depression (Patient Health Questionnaire 2 score >3: 27.4% versus 16.7%), lower health status (mean EuroQoL visual analogue scale: 73 [SD, 17.8] versus 78 [SD, 14.8]), and moderate-extreme financial hardship with medication costs (41.0% versus 28.4%; all P<0.001). There was no difference in persistence to evidence-based medications prescribed at discharge. CONCLUSIONS:Patients who experienced an adverse change in employment after MI reported lower quality of life, increased depression, and more difficulty affording medications. These results underscore the need for interventions to address this patient-centered outcome and its health impact. CLINICAL TRIAL REGISTRATION:URL: https://www.clinicaltrials.gov. Unique identifier: NCT01088503.

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Clinical SYNTAX Score - a good predictor for renal artery stenosis in acute myocardial infarction patients: analysis from the REN-ACS trial.

Publications

Clinical SYNTAX Score - a good predictor for renal artery stenosis in acute myocardial infarction patients: analysis from the REN-ACS trial.

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