Literature DB >> 25425723

Shock-index as a novel predictor of long-term outcome following primary percutaneous coronary intervention.

Ioakim Spyridopoulos1, Awsan Noman2, Javed M Ahmed2, Raj Das2, Richard Edwards2, Ian Purcell2, Alan Bagnall2, Azfar Zaman2, Mohaned Egred3.   

Abstract

UNLABELLED: Early identification of higher risk patients presenting with ST-elevation myocardial infarction (STEMI) and undergoing primary percutaneous coronary intervention (PPCI) will allow a more aggressive strategy and approach. The aim of this study was to evaluate the shock index (ratio of heart rate/systolic blood pressure on admission) as a predictor of mortality post PPCI in addition to other parameters.
METHODS: We analysed prospectively collected data on 3049 STEMI patients treated with PPCI in a large tertiary centre between March 2008-December 2011, out of which 2424 patients were aged up to 75 years (young) and 625 patients were older than 75 years (elderly).
RESULTS: Compared to younger patients, in-hospital mortality rates were four-fold higher in the elderly (11.5% vs 2.8%, odds ratio (OR) 3.5, 95% confidence interval (CI) 2.0-5.9). Cardiogenic shock (OR 8.7 (5.1-14.6)), non-TIMI3 (Thrombosis In Myocardial Infarction) flow post percutaneous coronary intervention (PCI) (OR 5.0 (3.1-7.9)), age over 75 (OR 3.5 (2.3-5.3)) and a positive shock index pre PPCI (OR 3.5 (2.0-5.9)) were the strongest independent predictors of in-hospital mortality. For long-term outcome (median follow-up period 454 days) we excluded 141 (4.6%) patients that died during the initial hospital stay. Previous angina (hazard ratio (HR) 2.9), and previous cerebrovascular events (HR 3.7) were predictors of adverse outcome in the younger patients, while previous myocardial infarction (HR 2.0) and a positive shock index (HR 2.3) were predictors in the elderly. Cardiogenic shock prior to PPCI was not able to predict long-term outcome for in-hospital survivors.
CONCLUSION: Mortality rates following PPCI were higher in elderly patients although remained acceptable. Invasively measured shock index before PPCI is the strongest independent predictor of long-term outcome in elderly patients. In addition, predictors of in-hospital mortality were similar across different age groups but differed significantly in relation to longer-term mortality. © The European Society of Cardiology 2014.

Entities:  

Keywords:  Ischaemic heart disease; ST-elevation myocardial infarction; age; angioplasty; chest pain; coronary artery disease; elderly; gender; mortality; percutaneous coronary intervention

Mesh:

Year:  2014        PMID: 25425723     DOI: 10.1177/2048872614561480

Source DB:  PubMed          Journal:  Eur Heart J Acute Cardiovasc Care        ISSN: 2048-8726


  13 in total

1.  Cardiogenic Shock Predicts Long-term Mortality in Hospital Survivors of STEMI Treated With Primary Percutaneous Coronary Intervention.

Authors:  Veemal V Hemradj; Jan Paul Ottervanger; Arnoud W van 't Hof; Jan Henk Dambrink; Marcel Gosselink; Elvin Kedhi; Harry Suryapranata
Journal:  Clin Cardiol       Date:  2016-10-24       Impact factor: 2.882

2.  Nomogram for the Prediction of Intrahospital Mortality Risk of Patients with ST-Segment Elevation Myocardial Infarction Complicated with Hyperuricemia: A Multicenter Retrospective Study.

Authors:  Zhixun Bai; Yi Ma; Zhiyun Shi; Ting Li; Shan Hu; Bei Shi
Journal:  Ther Clin Risk Manag       Date:  2021-08-21       Impact factor: 2.423

3.  Left Ventricular Pressure Ratio Predicts In-Hospital Outcomes in Hospitalized Heart Failure With Reduced Ejection Fraction.

Authors:  Sameh W Almousa; Mark N Belkin; Tess Allan; Allison Stephens; Joseph Kern; Miryea Cisneros; Janet Friant; Cynthia Arevalo; Sandeep Nathan; Atman P Shah; Jonathan Paul; Rohan Kalathiya; Jonathan Grinstein; John E A Blair
Journal:  J Invasive Cardiol       Date:  2021-06-16       Impact factor: 2.022

4.  Derivation and Validation of Shock Index as a parameter for Predicting Long-term Prognosis in Patients with Acute Coronary Syndrome.

Authors:  Tongtong Yu; Chunyang Tian; Jia Song; Dongxu He; Zhijun Sun; Zhaoqing Sun
Journal:  Sci Rep       Date:  2017-09-20       Impact factor: 4.379

5.  Prognostic Impact of Active Mechanical Circulatory Support in Cardiogenic Shock Complicating Acute Myocardial Infarction, Results from the Culprit-Shock Trial.

Authors:  Hans-Josef Feistritzer; Steffen Desch; Anne Freund; Janine Poess; Uwe Zeymer; Taoufik Ouarrak; Steffen Schneider; Suzanne de Waha-Thiele; Georg Fuernau; Ingo Eitel; Marko Noc; Janina Stepinska; Kurt Huber; Holger Thiele
Journal:  J Clin Med       Date:  2020-06-24       Impact factor: 4.241

6.  Peri-Procedural Blood Pressure Changes and Their Relationship with MACE in Patients Undergoing Percutaneous Coronary Intervention: A Cross-Sectional Study.

Authors:  Susan Labib; Hussein Heshmat Kassem; Hossam Kandil
Journal:  Integr Blood Press Control       Date:  2020-12-10

7.  Comparison of shock index-based risk indices for predicting in-hospital outcomes in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

Authors:  Guoyu Wang; Ruzhu Wang; Ling Liu; Jing Wang; Lei Zhou
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

8.  Prognostic value of shock index in patients admitted with non-ST-segment elevation myocardial infarction: the ARIC study community surveillance.

Authors:  Zainali S Chunawala; Michael E Hall; Sameer Arora; Xuming Dai; Venu Menon; Sidney C Smith; Kunihiro Matsushita; Melissa C Caughey
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2021-10-27

9.  The value of shock index in prediction of cardiogenic shock developed during primary percutaneous coronary intervention.

Authors:  Zhonghai Wei; Jian Bai; Qing Dai; Han Wu; Shuaihua Qiao; Biao Xu; Lian Wang
Journal:  BMC Cardiovasc Disord       Date:  2018-10-01       Impact factor: 2.298

10.  Shock index and TIMI risk index as valuable prognostic tools in patients with acute coronary syndrome complicated by cardiogenic shock.

Authors:  Karolina Supeł; Michał Kacprzak; Marzenna Zielińska
Journal:  PLoS One       Date:  2020-01-03       Impact factor: 3.240

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