Jaimi H Greenslade1, William Parsonage2, Martin Than3, Adam Scott4, Sally Aldous5, John W Pickering5, Christopher J Hammett6, Louise Cullen2. 1. Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland, Brisbane, Queensland, Australia; School of Public Health, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: jaimi_greenslade@health.qld.gov.au. 2. Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland, Brisbane, Queensland, Australia; School of Public Health, Queensland University of Technology, Brisbane, Queensland, Australia. 3. School of Medicine, University of Otago, Christchurch, New Zealand; Christchurch Hospital, Christchurch, New Zealand. 4. Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Public Health, Queensland University of Technology, Brisbane, Queensland, Australia. 5. Christchurch Hospital, Christchurch, New Zealand. 6. Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Abstract
STUDY OBJECTIVE: We derive a clinical decision rule for ongoing investigation of patients who present to the emergency department (ED) with chest pain. The rule identifies patients who are at low risk of acute coronary syndrome and could be discharged without further cardiac testing. METHODS: This was a prospective observational study of 2,396 patients who presented to 2 EDs with chest pain suggestive of acute coronary syndrome and had normal troponin and ECG results 2 hours after presentation. Research nurses collected clinical data on presentation, and the primary endpoint was diagnosis of acute coronary syndrome within 30 days of presentation to the ED. Logistic regression analyses were conducted on 50 bootstrapped samples to identify predictors of acute coronary syndrome. A rule was derived and diagnostic accuracy statistics were computed. RESULTS: Acute coronary syndrome was diagnosed in 126 (5.3%) patients. Regression analyses identified the following predictors of acute coronary syndrome: cardiac risk factors, age, sex, previous myocardial infarction, or coronary artery disease and nitrate use. A rule was derived that identified 753 low-risk patients (31.4%), with sensitivity 97.6% (95% confidence interval [CI] 93.2% to 99.5%), negative predictive value 99.6% (95% CI 98.8% to 99.9%), specificity 33.0% (95% CI 31.1% to 35.0%), and positive predictive value 7.5% (95% CI 6.3% to 8.9%) for acute coronary syndrome. This was referred to as the no objective testing rule. CONCLUSION: We have derived a clinical decision rule for chest pain patients with negative early cardiac biomarker and ECG testing results that identifies 31% at low risk and who may not require objective testing for coronary artery disease. A prospective trial is required to confirm these findings.
STUDY OBJECTIVE: We derive a clinical decision rule for ongoing investigation of patients who present to the emergency department (ED) with chest pain. The rule identifies patients who are at low risk of acute coronary syndrome and could be discharged without further cardiac testing. METHODS: This was a prospective observational study of 2,396 patients who presented to 2 EDs with chest pain suggestive of acute coronary syndrome and had normal troponin and ECG results 2 hours after presentation. Research nurses collected clinical data on presentation, and the primary endpoint was diagnosis of acute coronary syndrome within 30 days of presentation to the ED. Logistic regression analyses were conducted on 50 bootstrapped samples to identify predictors of acute coronary syndrome. A rule was derived and diagnostic accuracy statistics were computed. RESULTS:Acute coronary syndrome was diagnosed in 126 (5.3%) patients. Regression analyses identified the following predictors of acute coronary syndrome: cardiac risk factors, age, sex, previous myocardial infarction, or coronary artery disease and nitrate use. A rule was derived that identified 753 low-risk patients (31.4%), with sensitivity 97.6% (95% confidence interval [CI] 93.2% to 99.5%), negative predictive value 99.6% (95% CI 98.8% to 99.9%), specificity 33.0% (95% CI 31.1% to 35.0%), and positive predictive value 7.5% (95% CI 6.3% to 8.9%) for acute coronary syndrome. This was referred to as the no objective testing rule. CONCLUSION: We have derived a clinical decision rule for chest painpatients with negative early cardiac biomarker and ECG testing results that identifies 31% at low risk and who may not require objective testing for coronary artery disease. A prospective trial is required to confirm these findings.
Authors: Jason P Stopyra; Chadwick D Miller; Brian C Hiestand; Cedric W Lefebvre; Bret A Nicks; David M Cline; Kim L Askew; Robert F Riley; Gregory B Russell; James W Hoekstra; Simon A Mahler Journal: Acad Emerg Med Date: 2017-08-08 Impact factor: 3.451
Authors: Martijn W Smulders; Sebastiaan C A M Bekkers; Yvonne J M van Cauteren; Anna Liefhebber; Jasper R Vermeer; Juliette Vervuurt; Marja P van Dieijen-Visser; Alma M A Mingels; Hans-Peter Brunner-La Rocca; Pieter C Dagnelie; Joachim E Wildberger; Harry J G M Crijns; Bas L J H Kietselaer Journal: PLoS One Date: 2018-09-07 Impact factor: 3.240