Is there an evidence-based approach to differentiating NSTE-ACS from noncardiac causes of chest pain on initial evaluation?
Clinical prediction tools can outperform individual historical, examination, and ECG findings. These tools (e.g., HEART and TIMI scores) can be helpful in differentiating NSTE-ACS from noncardiac chest pain.
This question was studied in a 2015 systematic review
1 that evaluated all potentially relevant articles from January 1995 to July 2015. Authors included studies meeting three criteria: (1) presentation to the ED with suspected ACS, (2) clear descriptions of diagnostic testing (including history, physical, ECG, overall assessment, and clinical prediction tools including the HEART score and the TIMI score (
Table 13.1), and (3) adequate listing of outcomes (either hospital discharge diagnosis or subsequent significant cardiovascular event).
To focus primarily on using available tools to differentiate patients at point of first contact, the review excluded studies (1) in which
assessment was initiated after acquisition of serial ECGs/troponins, (2) among patients at disproportionately high, intermediate, or low probability of ACS, and (3) using high-sensitivity troponin assays, which were not routinely available in the United States at the time of study. Fifty-eight articles were included in the final analysis.
The authors found several commonly used predictors of ACS to be of mild to moderate utility. Mildly helpful to rule in ACS were a history of an abnormal stress test (+LR 3.1, 95% CI 2.0-4.7) and pain radiating to both arms (+LR 2.6, 95% CI 1.8-3.7). More useful were ST depression (+LR 5.3, 95% CI 2.1-8.6) or “ischemic” ECG (+LR 3.6, 95% CI 1.6-5.7). However, each of these findings was limited by poor sensitivity and resultant poor ability to rule out ACS. Clinicians’ overall impression of whether a patient had ACS prior to seeing their ECG and troponin was somewhat more diagnostic (“definite” ACS + LR 4.0, 95% CI 2.5-6.6; “definitely not” ACS + LR 0.36, 95% CI 0.05-2.8).
Formal decision tools were superior for predicting ACS. A high HEART score (7-10) was associated with +LR 13 (95% CI 7.0-24) for ACS, high TIMI score (5-7) with +LR 6.8 (95% CI 5.2-9.0). Low HEART score (0-3) was associated with +LR 0.20 (95% CI 0.13-0.30), low TIMI score (0-1) with +LR 0.31 (95% CI 0.23-0.43). Study caveats include the use of revascularization, which can be affected by measurement bias, as an outcome in many studies.