Impact of risk stratification on cardiovascular outcomes in patients with stable chest pain-Reference-Cited by-同舟云学术

Impact of risk stratification on cardiovascular outcomes in patients with stable chest pain

Published:2024-08-29 Issue:8 Volume:53 Page:519-522
ISSN:0304-4602
Container-title:Annals of the Academy of Medicine, Singapore
language:en
Short-container-title:Ann Acad Med Singap

Author:

Chua Yi Yi¹,Yap Jonathan¹,Koh Yi Ling Eileen²,Yeo Khung Keong¹,Chua Siang Jin Terrance¹,Tan Ngiap Chuan³,Wang Zhen Sinead³

Affiliation:

1. Department of Cardiology, National Heart Centre Singapore, Singapore

2. Department of Research, SingHealth Polyclinics, Singapore

3. Duke-NUS Medical School, Singapore

Abstract

Chest pain is a common presenting complaint among patients visiting primary care1 and is a frequent reason for referral to the outpatient cardiology clinic. The European Society of Cardiology (ESC) and American College of Cardiology/American Heart Association (ACC/AHA) guidelines advocate estimating pre-test probability (PTP) of obstructive coronary artery disease (CAD) in the evaluation of stable chest pain in order to guide the need for and type of downstream investigations.2,3 The PTP of obstructive CAD depends on the clinical characteristics of the patient and disease prevalence. Since the introduction of the Diamond-Forrester model in 1979,4 contemporary risk scores, such as the CAD consortium score5 (CCS) and the ESC 2019 PTP risk score,2 have been developed.

Publisher

Academy of Medicine, Singapore

Reference10 articles.

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3. Gulati M, Levy PD, Mukherjee D, et al. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2021;144:e368-e454.

4. Diamond GA, Forrester JS. Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med 1979;300:1350-8.

5. Genders TSS, Steyerberg EW, Hunink MGM, et al. Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ 2012;344:e3485.