Literature DB >> 21159479

Killip classification in patients with acute coronary syndrome: insight from a multicenter registry.

Ayman El-Menyar1, Mohammad Zubaid, Wael AlMahmeed, Kadhim Sulaiman, AbdulRahman AlNabti, Rajvir Singh, Jassim Al Suwaidi.   

Abstract

The purpose of this study was to assess the prognostic value of the Killip classification at the presentation in patients with acute coronary syndrome (ACS). In 2007 and over 5 months, 6704 consecutive patients with ACS were enrolled in the Gulf Registry of Acute Coronary Events. Patients were categorized according to Killip classification at presentation (Classes I, II, III, and IV). Patients' characteristics and in-hospital outcomes were analyzed. High Killip classes were defined in 22% of patients. In comparison to Killip Class I, patients with higher Killip class had greater prevalence of cardiovascular risk factors, presented late, were less likely to have angina, and were less likely to receive antiplatelet, statins, and β-blockers. Classes II, III, and IV were associated with higher adjusted odds of death in ST-elevation myocardial infarction (odds ratio [OR] 2.1, 95% confidence interval [CI] 1.25-3.69; OR 6.1, 95% CI 3.41-10.86; and OR 28, 95% CI 15.24-54.70, respectively) and non-ST-elevation acute coronary syndrome (adjusted OR 2.4, 95% CI 1.24-4.82; OR 3.2,95% 1.49-7.02; and OR 9.8, 95% CI 3.79-25.57, respectively). In conclusion, across ACS, patients with higher Killip class had worse clinical profile and were less likely to be treated with evidence-based therapy. High Killip class was independent predictors of mortality in ST-elevation myocardial infarction and non-ST-elevation acute coronary syndrome. Physician in the emergency department should be aware of the importance of clinical examination in the risk stratification in patients presenting with ACS.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21159479     DOI: 10.1016/j.ajem.2010.10.011

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  17 in total

1.  Impact of Killip classification on acute myocardial infarction: data from the SAIKUMA registry.

Authors:  Eiji Taguchi; Yutaka Konami; Masayuki Inoue; Hiroto Suzuyama; Kazuhisa Kodama; Masayoshi Yoshida; Shinzo Miyamoto; Koichi Nakao; Tomohiro Sakamoto
Journal:  Heart Vessels       Date:  2017-07-05       Impact factor: 2.037

2.  Gender-Specific Predictive Markers of Poor Prognosis for Patients with Acute Myocardial Infarction During a 6-Month Follow-up.

Authors:  Ping Wang; Jianhua Yao; Yuan Xie; Ming Luo
Journal:  J Cardiovasc Transl Res       Date:  2020-01-06       Impact factor: 4.132

3.  Predictors of medium-term mortality in patients hospitalised with coronary artery disease in a resource-limited South-East Asian setting.

Authors:  Andriany Qanitha; Cuno S P M Uiterwaal; Jose P S Henriques; Idar Mappangara; Irfan Idris; Muzakkir Amir; Bastianus A J M de Mol
Journal:  Open Heart       Date:  2018-07-17

4.  Interventions supporting long term adherence and decreasing cardiovascular events after myocardial infarction (ISLAND): pragmatic randomised controlled trial.

Authors:  Noah M Ivers; Jon-David Schwalm; Zachary Bouck; Tara McCready; Monica Taljaard; Sherry L Grace; Jennifer Cunningham; Beth Bosiak; Justin Presseau; Holly O Witteman; Neville Suskin; Harindra C Wijeysundera; Clare Atzema; R Sacha Bhatia; Madhu Natarajan; Jeremy M Grimshaw
Journal:  BMJ       Date:  2020-06-10

5.  Bleeding risk of ticagrelor compared to clopidogrel in intensive care unit patients with acute coronary syndrome: A propensity-score matching analysis.

Authors:  Thibault Charpentier; Cyril Ferdynus; Thomas Lair; Charlotte Cordier; Caroline Brulliard; Dorothée Valance; Malo Emery; Margot Caron; Nicolas Allou; Jérôme Allyn
Journal:  PLoS One       Date:  2020-05-04       Impact factor: 3.240

6.  Complete versus simplified Selvester QRS score for infarct severity assessment in ST-elevation myocardial infarction.

Authors:  Christina Tiller; Martin Reindl; Sebastian Johannes Reinstadler; Magdalena Holzknecht; Michael Schreinlechner; Alexander Peherstorfer; Nicolas Hein; Ivan Lechner; Agnes Mayr; Gert Klug; Bernhard Metzler
Journal:  BMC Cardiovasc Disord       Date:  2019-12-09       Impact factor: 2.298

7.  An Elevated Glycemic Gap is Associated with Adverse Outcomes in Diabetic Patients with Acute Myocardial Infarction.

Authors:  Wen-I Liao; Chin-Sheng Lin; Chien-Hsing Lee; Ya-Chieh Wu; Wei-Chou Chang; Chin-Wang Hsu; Jen-Chun Wang; Shih-Hung Tsai
Journal:  Sci Rep       Date:  2016-06-13       Impact factor: 4.379

8.  Delayed Care and Mortality Among Women and Men With Myocardial Infarction.

Authors:  Raffaele Bugiardini; Beatrice Ricci; Edina Cenko; Zorana Vasiljevic; Sasko Kedev; Goran Davidovic; Marija Zdravkovic; Davor Miličić; Mirza Dilic; Olivia Manfrini; Akos Koller; Lina Badimon
Journal:  J Am Heart Assoc       Date:  2017-08-21       Impact factor: 5.501

9.  Expert Consensus Document on Management of ST-Elevation Myocardial Infarction: Adaptation of 2012 ESC Guidelines.

Authors:  Tiny Nair; Rajesh Agrawal; Sandeep Bansal; Anjanlal Dutta; Raja Ray; Saumitra Ray
Journal:  Indian J Crit Care Med       Date:  2018-04

10.  Gender-based difference in early mortality among patients with ST-segment elevation myocardial infarction: insights from Kermanshah STEMI Registry.

Authors:  Soraya Siabani; Patricia M Davidson; Maryam Babakhani; Nahid Salehi; Yousef Rahmani; Farid Najafi; Hossein Karim; Ali Soroush; Behrooz Hamzeh; Mojtaba Amiri; Hossein Siabani
Journal:  J Cardiovasc Thorac Res       Date:  2020-02-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.