Clinical risk scores and integrated clinical judgment in patients with suspected acute coronary syndrome

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Boeddinghaus ◽  
M Meier ◽  
T Nestelberger ◽  
P Lopez-Ayala ◽  
P.D Ratmann ◽  
...  

Abstract Background Clinical risk scores are recommended for formal risk stratification in patients presenting with suspected acute coronary syndrome (ACS). It is unknown, whether these scores still provide additional value in the era of high-sensitivity cardiac troponin (hs-cTn) compared to simple integrated clinical judgment. Purpose To evaluate the diagnostic and prognostic performance of integrated clinical judgment compared to clinical risk scores. Methods We prospectively enrolled patients presenting to the emergency department with symptoms suggestive of ACS such as acute chest discomfort. The primary prognostic endpoint was the composite of 30-day major adverse cardiac events (MACE) including all-cause death, life-threatening arrhythmia, cardiogenic shock, acute myocardial infarction (AMI, including the index event), and urgent coronary revascularization and was adjudicated by two independent cardiologists. The performance of five well-established formal risk scores (T-MACS, HEART, GRACE, TIMI, and EDACS) for the prediction of 30-day MACE was directly compared with simple integrated clinical judgment for the ACS likelihood by the treating ED physician. Integrated clinical judgment was quantified using a visual analogue scale at 90 minutes after patient's presentation to the ED. The primary diagnostic endpoint was index AMI. Results Among 2031 patients, 417/2031 patients (20.5%) had at least one MACE within 30 days. Prognostic accuracy for 30-day MACE quantified by the area under the receiver-operating characteristics curve (AUC) was 0.87 (95% CI 0.85–0.89) for T-MACS, 0.87 (95% CI 0.85–0.89) for HEART, 0.84 (95% CI 0.82–0.86) for GRACE, 0.81 (95% CI 0.79–0.83) for TIMI, 0.75 (95% CI 0.73–0.78) for EDACS, versus 0.89 (95% CI 0.87–0.91) for simple integrated clinical judgment (p<0.01 versus GRACE, TIMI, and EDACS; Figure 1). Similarly, diagnostic accuracy was 0.92 (95% CI 0.90–0.94) for T-MACS, 0.89 (95% CI 0.87–0.90) for HEART, 0.88 (95% CI 0.86–0.89) for GRACE, 0.80 (95% CI 0.78–0.82) for TIMI, 0.74 (95% CI 0.72–0.77) for EDACS, versus 0.89 (95% CI 0.88–0.91) for simple integrated clinical judgment (p<0.01 versus GRACE, TIMI, and EDACS). Conclusion None of the formal clinical risk scores outperformed simple integrated clinical judgment for ACS in the prediction of 30-day MACE or the diagnosis of AMI. Therefore, in the era of hs-cTn testing as part of integrated clinical judgment, clinical risk scores seem to no longer provide incremental value. Figure 1. Diagnostic accuracy for MACE at 30-days Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Swiss National Science Foundation, Swiss Heart Foundation

Angiology ◽  
2016 ◽  
Vol 68 (3) ◽  
pp. 185-188 ◽  
Author(s):  
Genovefa D. Kolovou ◽  
Niki Katsiki ◽  
Sophie Mavrogeni

Acute coronary syndrome (ACS) is associated with both short- and long-term unfavorable prognosis. Therefore, medical societies developed risk scores for predicting mortality and assessing decision-making regarding early aggressive treatment in patients presenting an ACS. The Thrombolysis In Myocardial Infarction and the Global Registry of Acute Coronary Events risk scores are the most extensively investigated scores for ACS. Clinical judgment is also important. Significant differences in aggressive treatment of ACS still exist with respect to gender, age, and ethnicity. The reasons for these discrepancies need to be further elucidated in future studies. Therefore, generalizability of stratifications and risk scores in certain populations should be performed with caution.


Circulation ◽  
2018 ◽  
Vol 138 (16) ◽  
pp. 1654-1665 ◽  
Author(s):  
Andrew R. Chapman ◽  
Kerrick Hesse ◽  
Jack Andrews ◽  
Kuan Ken Lee ◽  
Atul Anand ◽  
...  

2017 ◽  
Vol 58 (6) ◽  
pp. 406-415 ◽  
Author(s):  
Tamara Jakimov ◽  
Igor Mrdović ◽  
Branka Filipović ◽  
Marija Zdravković ◽  
Aleksandra Djoković ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
O Steiro ◽  
H Tjora ◽  
J Langorgen ◽  
T Omland ◽  
R Bjorneklett ◽  
...  

Abstract Background The ESC 0/3-h and High-STEACS study algorithms using high-sensitive troponin assays have proven effective in ruling out NSTEMI, but the safety of out-of-hospital follow-up of ruled out patients is disputable. Clinical risk scores may help to identify patients who develop major adverse cardiac events (MACE) defined as NSTEMI, death or coronary lesions in need of acute or elective revascularization within six weeks after admittance. Purpose Assess the ability of the ESC and High-STEACS study algorithms alone and in combination with clinical risk scores to identify MACE in unselected patients presenting with chest pain. Methods 985 patients (mean 63 years, 61% male) with suspected NSTE-ACS were consecutively included from Sept. 2015 to Feb. 2017. Serum samples were collected at 0, 3 and 8–12 hours and hs-cTnT and hs-cTnI were measured. The final diagnosis was adjudicated by two independent cardiologists. The troponin-based algorithms where compared to nine clinical risk scores, HEART, CARE, GRACE, T-MACS, TIMI, EDACS, sEDACS, Goldman and Geleijnse. Results The prevalence of NSTEMI during index hospitalization was 13%. The ESC 0/3-h and High-STEACS algorithms missed 3 events of NSTEMI with excellent NPV of 99.5 and 99.6. Rule-out patients with normal ECGs, GRACE score <140 and no residual pain had a prevalence of MACE within 6 weeks of 9% using both algorithms. The most frequent event was non-acute revascularization due to unstable angina pectoris. Three of ten clinical risk scores had higher accuracy than the ESC 0/3-h algorithm for identification of MACE: HEART (AUC 0.84), CARE (AUC 0.79) and T-MACS (AUC 0.76). Combining the ESC 0/3-h rule-out algorithm and HEART≤3 had the best AUC of 0.85, missing only 12 (3%) MACE. Troponin-based algorithms and HEART True pos. True neg. False pos. False neg. NPV PPV Sens. Spes. Prop. low-risk AUC Troponin-based algorithms, endpoint NSTEMI ESC 0/3h TnT 118 628 196 3 99.5 37.6 97.5 76.2 66.8 0.87 High-STEACS TnI 118 715 109 3 99.6 52.0 97.5 86.8 76.0 0.92 Troponin-based algorithms, endpoint MACE ESC 0/3h TnT 143 577 171 54 91.4 45.5 72.6 77.1 66.8 0.75 High-STEACS TnI 130 651 97 67 90.7 57.3 66.0 87.0 76.0 0.77 Troponin-based algorithms combined with HEART score, endpoint MACE ESC 0/3h HEART 3 185 414 334 12 97.2 35.7 94.1 55.4 44.6 0.85 High-STEACS HEART 3 186 411 337 11 97.4 35.6 94.7 55.0 44.7 0.85 Causes of MACE Conclusion The ESC 0/3-h and High-STEACS algorithms identify almost all patients with low risk of NSTEMI, who are candidates for none or out-of-hospital follow-up. However, 9% of ruled out patients have MACE within 6 weeks. The combination of ESC algorithm and clinical risk scores markedly reduce the number of ruled out patients with MACE.


2020 ◽  
Vol 9 (9) ◽  
pp. 3039 ◽  
Author(s):  
Dean Chan Pin Yin ◽  
Jaouad Azzahhafi ◽  
Stefan James

Risk scores are widely used in patients with acute coronary syndrome (ACS) prior to treatment decision-making at different points in time. At initial hospital presentation, risk scores are used to assess the risk for developing major adverse cardiac events (MACE) and can guide clinicians in either discharging the patients at low risk or swiftly admitting and treating the patients at high risk for MACE. During hospital admission, risk assessment is performed to estimate mortality, residual ischemic and bleeding risk to guide further in-hospital management (e.g., timing of coronary angiography) and post-discharge management (e.g., duration of dual antiplatelet therapy). In the months and years following ACS, long term risk can also be assessed to evaluate current treatment strategies (e.g., intensify or reduce pharmaceutical treatment options). As multiple risk scores have been developed over the last decades, this review summarizes the most relevant risk scores used in ACS patients.


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