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      Clinical Interventions in Aging (submit here)

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      Canada acute coronary syndrome score was a stronger baseline predictor than age ≥75 years of in-hospital mortality in acute coronary syndrome patients in western Romania

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          Abstract

          Background

          Several risk scores were developed for acute coronary syndrome (ACS) patients, but their use is limited by their complexity.

          Purpose

          The purpose of this study was to identify predictors at admission for in-hospital mortality in ACS patients in western Romania, using a simple risk-assessment tool – the new Canada acute coronary syndrome (C-ACS) risk score.

          Patients and methods

          The baseline risk of patients admitted with ACS was retrospectively assessed using the C-ACS risk score. The score ranged from 0 to 4; 1 point was assigned for the presence of each of the following parameters: age ≥75 years, Killip class >1, systolic blood pressure <100 mmHg, and heart rate >100 bpm.

          Results

          A total of 960 patients with ACS were included, 409 (43%) with ST-segment elevation myocardial infarction (STEMI) and 551 (57%) with non-ST-segment elevation acute coronary syndrome (NSTE-ACS). The C-ACS score predicted in-hospital mortality in all ACS patients with a C-statistic of 0.95 (95% CI: 0.93–0.96), in STEMI patients with a C-statistic of 0.92 (95% confidence interval [CI]: 0.89–0.94), and in NSTE-ACS patients with a C-statistic of 0.97 (95% CI: 0.95–0.98). Of the 960 patients, 218 (22.7%) were aged ≥75 years. The proportion of patients aged ≥75 years was 21.7% in the STEMI subgroup and 23.4% in the NSTE-ACS subgroup ( P>0.05). Age ≥75 years was significantly associated with in-hospital mortality in ACS patients (odds ratio [OR]: 3.25, 95% CI: 1.24–8.25) and in the STEMI subgroup (OR >3.99, 95% CI: 1.28–12.44). Female sex was strongly associated with mortality in the NSTE-ACS subgroup (OR: 27.72, 95% CI: 1.83–39.99).

          Conclusion

          We conclude that C-ACS score was the strongest predictor of in-hospital mortality in all ACS patients while age ≥75 years predicted the mortality well in the STEMI subgroup.

          Most cited references16

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          Predictors of hospital mortality in the global registry of acute coronary events.

          Management of acute coronary syndromes (ACS) should be guided by an estimate of patient risk. To develop a simple model to assess the risk for in-hospital mortality for the entire spectrum of ACS treated in general clinical practice. A multivariable logistic regression model was developed using 11 389 patients (including 509 in-hospital deaths) with ACS with and without ST-segment elevation enrolled in the Global Registry of Acute Coronary Events (GRACE) from April 1, 1999, through March 31, 2001. Validation data sets included a subsequent cohort of 3972 patients enrolled in GRACE and 12 142 in the Global Use of Strategies to Open Occluded Coronary Arteries IIb (GUSTO-IIb) trial. The following 8 independent risk factors accounted for 89.9% of the prognostic information: age (odds ratio [OR], 1.7 per 10 years), Killip class (OR, 2.0 per class), systolic blood pressure (OR, 1.4 per 20-mm Hg decrease), ST-segment deviation (OR, 2.4), cardiac arrest during presentation (OR, 4.3), serum creatinine level (OR, 1.2 per 1-mg/dL [88.4- micro mol/L] increase), positive initial cardiac enzyme findings (OR, 1.6), and heart rate (OR, 1.3 per 30-beat/min increase). The discrimination ability of the simplified model was excellent with c statistics of 0.83 in the derived database, 0.84 in the confirmation GRACE data set, and 0.79 in the GUSTO-IIb database. Across the entire spectrum of ACS and in general clinical practice, this model provides excellent ability to assess the risk for death and can be used as a simple nomogram to estimate risk in individual patients.
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            TIMI, GRACE and alternative risk scores in Acute Coronary Syndromes: a meta-analysis of 40 derivation studies on 216,552 patients and of 42 validation studies on 31,625 patients.

            Acute coronary syndromes (ACS) represent a difficult challenge for physicians. Risk scores have become the cornerstone in clinical and interventional decision making. PubMed was systematically searched for ACS risk score studies. They were divided into ACS studies (evaluating Unstable Angina; UA, Non ST Segment Elevation Myocardial Infarction; NSTEMI, and ST Segment Elevation Myocardial Infarction; STEMI), UA/NSTEMI studies or STEMI studies. The c-statistics of validation studies were pooled when appropriate with random-effect methods. 7 derivation studies with 25,525 ACS patients and 15 validation studies including 257,654 people were formally appraised. Pooled analysis of GRACE scores, both at short (0.82; 0.80-0.89 I.C 95%) and long term follow up (0.84; 0.82-0.87; I.C 95%) showed the best performance, with similar results to Simple Risk Index (SRI) derivation cohorts at short term. For NSTEMI/UA, 18 derivation studies with 56,560 patients and 18 validation cohorts with 56,673 patients were included. Pooled analysis of validations studies showed c-statistics of 0.54 (95% CI = 0.52-0.57) and 0.67 (95% CI = 0.62-0.71) for short and long term TIMI validation studies, and 0.83 (95% CI = 0.79-9.87) and 0.80 (95% CI = 0.74-0.89) for short and long term GRACE studies. For STEMI, 15 studies with 134,557 patients with derivation scores, and 17 validation studies with 187,619 patients showed a pooled c-statistic of 0.77 (95% CI = 0.71-0.83) and 0.77 (95% CI = 0.72-0.85) for TIMI at short and long term, and a pooled c-statistic of 0.82 (95% CI = 0.81-0.83) and 0.81 (95% CI = 0.80-0.82) for GRACE at short and long terms respectively. TIMI and GRACE are the risk scores that up until now have been most extensively investigated, with GRACE performing better. There are other potentially useful ACS risk scores available however these have not undergone rigorous validation. This study suggests that these other scores may be potentially useful and should be further researched. Copyright © 2012 Elsevier Inc. All rights reserved.
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              Risk scores for risk stratification in acute coronary syndromes: useful but simpler is not necessarily better.

              Our objectives were (i) to compare the discriminatory performance of the Thrombolysis in Myocardial Infarction risk score (TIMI RS), Platelet glycoprotein IIb/IIIa in Unstable angina: Receptor Suppression Using Integrilin Therapy risk score (PURSUIT RS), and Global Registry of Acute Cardiac Events risk score (GRACE RS) for in-hospital and 1 year mortality across the broad spectrum of non-ST-elevation acute coronary syndromes (ACS) and (ii) to determine their incremental prognostic utility beyond overall risk assessment by physicians. We calculated the TIMI RS, PURSUIT RS, and GRACE RS for 1,728 patients with non-ST-elevation ACS in the prospective, multicentre, Canadian ACS II Registry. Discriminatory performance was measured by the c-statistic (area under receiver-operating characteristic curve) and compared by the method described by DeLong. TIMI RS, PURSUIT RS, and GRACE RS all demonstrated good discrimination for in-hospital death (c-statistics = 0.68, 0.80, 0.81, respectively, all P < 0.001) and 1 year mortality (c-statistics = 0.69, 0.77, 0.79, respectively, all P < 0.0001). However, PURSUIT RS and GRACE RS performed significantly better than the TIMI RS in predicting in-hospital (P = 0.036 and 0.02, respectively) and 1 year (P = 0.006 and 0.001, respectively) outcomes. In multivariable analysis adjusting for the use of in-hospital revascularization, stratification by tertiles of risk scores (into low, intermediate, and high-risk groups) furnished independent and greater prognostic information compared with risk assessment by treating physicians for 1 year outcome. Compared with TIMI RS, both PURSUIT RS and GRACE RS allow better discrimination for in-hospital and 1 year mortality in patients presenting with a wide range of ACS. All three risk scores confer additional important prognostic value beyond global risk assessment by physicians. These validated risk scores may refine risk stratification, thereby improving patient care in routine clinical practice.
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                Author and article information

                Journal
                Clin Interv Aging
                Clin Interv Aging
                Clinical Interventions in Aging
                Clinical Interventions in Aging
                Dove Medical Press
                1176-9092
                1178-1998
                2016
                26 April 2016
                : 11
                : 481-488
                Affiliations
                Cardiology Department, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
                Author notes
                Correspondence: Mirela Cleopatra Tomescu, Cardiology Department, “Victor Babes” University of Medicine and Pharmacy, Second Eftimie Murgu Square, Timisoara 300041, Romania, Tel +40 722 979 516, Fax +40 256 220 636, Email tomescu.mirela@ 123456umft.ro
                Article
                cia-11-481
                10.2147/CIA.S104943
                4853017
                27217732
                74f25d74-4e08-4b96-8ade-50109ce8ea50
                © 2016 Pogorevici et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

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                Categories
                Original Research

                Health & Social care
                elderly,acute coronary syndrome,mortality
                Health & Social care
                elderly, acute coronary syndrome, mortality

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