HEART versus GRACE Score in Predicting the Outcomes of Patients with Acute Coronary Syndrome; a Systematic Review and Meta-Analysis
Archives of Academic Emergency Medicine,
Vol. 11 No. 1 (2023),
15 November 2022
,
Page e50
https://doi.org/10.22037/aaem.v11i1.2001
Abstract
Introduction: Several scoring systems have been proposed to predict the outcomes of patients with ischemic heart disease. Global Registry of Acute Coronary Events (GRACE) and History, ECG, Age, Risk Factors, and Troponin (HEART) scores are two of the more widely used risk prediction tools in patients with acute coronary syndrome (ACS). The present systematic review and meta-analysis aimed to compare the value of GRACE and HEART scores in the outcome prediction of ACS patient.
Method: The online databases of Medline, Embase, Web of Science, and Scopus were search until September 2022 for articles directly comparing GRACE and HEART scores value in prediction of outcome in patients with ACS. GRACE score cut-offs were categorized into two groups of less than and equal to 100 and more than 100, and HEART score cut-offs were categorized into three groups of less than 4, equal to 4, and more than 4. Investigated outcomes were major adverse cardiovascular events (MACE), acute myocardial infraction (AMI) and all-cause mortality.
Results: 25 articles were included. The sensitivity and specificity of the GRACE score for prediction of MACE were 0.96 and 0.26 for cut-offs of ≤ 100, and 0.58 and 0.69 for cut-offs of >100, respectively. The sensitivity and specificity of the HEART score for prediction of MACE were 0.99 and 0.16 for cut-offs less than 4, 0.93 and 0.47 for equal to 4, and 0.77 and 0.78 for cut-offs greater than 4. GRACE score was shown to be predictive of AMI with sensitivity and specificity of 0.95 and 0.29, respectively. The analysis for the value of HEART score in the prediction of AMI a sensitivity and specificity of 0.94 and 0.48, respectively. The risk scores were not found to be suitable predictors of all-cause mortality.
Conclusion: The results demonstrated the low specificity of GRACE and HEART scores in predicting the MACE, AMI and all-cause mortality, irrespective of the utilized cut-off. Considering the acceptable sensitivity of two scores in predicting the MACE and AMI, these scores were more suitable to be used as a rule-out tool for identification of ACS patients with low risk of developing adverse outcomes.
- acute coronary syndrome
- risk stratification
- sensitivity
- specificity
- decision tools
How to Cite
References
Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the GBD 2019 study. Journal of the American College of Cardiology. 2020;76(25):2982-3021.
Huang Z, Wang K, Yang D, Gu Q, Wei Q, Yang Z, et al. The predictive value of the HEART and GRACE scores for major adverse cardiac events in patients with acute chest pain. Intern Emerg Med. 2021;16(1):193-200.
Ramezani F, Ahmadi S, Faridaalee G, Baratloo A, Yousefifard M. Value of Manchester acute coronary syndromes decision rule in the detection of acute coronary syndrome; a systematic review and meta-analysis. Emergency. 2018;6(1).
Haji Aghajani M, Madani Neishaboori A, Ahmadzadeh K, Toloui A, Yousefifard M. The association between apolipoprotein A‐1 plasma level and premature coronary artery disease: A systematic review and meta‐analysis. International journal of clinical practice. 2021;75(11):e14578.
Aghajani MH, Toloui A, Ahmadzadeh K, Neishaboori AM, Yousefifard M. Premature Coronary Artery Disease and Plasma Levels of Interleukins; a Systematic Scoping Review and Meta-Analysis. Archives of Academic Emergency Medicine. 2022;10(1).
Tang EW, Wong C-K, Herbison P. Global Registry of Acute Coronary Events (GRACE) hospital discharge risk score accurately predicts long-term mortality post acute coronary syndrome. American heart journal. 2007;153(1):29-35.
Laureano-Phillips J, Robinson RD, Aryal S, Blair S, Wilson D, Boyd K, et al. HEART Score Risk Stratification of Low-Risk Chest Pain Patients in the Emergency Department: A Systematic Review and Meta-Analysis. Annals of Emergency Medicine. 2019;74(2):187-203.
Khalil MH, Sekma A, Yaakoubi H, Bel Haj Ali K, Msolli MA, Beltaief K, et al. 30 day predicted outcome in undifferentiated chest pain: multicenter validation of the HEART score in Tunisian population. BMC Cardiovascular Disorders. 2021;21(1):1-7.
Soares III WE, Knee A, Gemme SR, Hambrecht R, Dybas S, Poronsky KE, et al. A prospective evaluation of clinical HEART score agreement, accuracy, and adherence in emergency department chest pain patients. Annals of Emergency Medicine. 2021;78(2):231-41.
Rao K, De Silva K, Sood A, Denniss AR, Hsu C-J. Predicting Patients With Troponin Positive Chest Pain and Unobstructed Coronary Arteries With Electrocardiogram, Troponin Kinetics and GRACE Score. Heart, Lung and Circulation. 2022;31(9):1219-27.
Cedro AV, Mota DM, Ohe LN, Timerman A, Costa JR, Castro LdS. Association between Clinical Risk Score (Heart, Grace and TIMI) and Angiographic Complexity in Acute Coronary Syndrome without ST Segment Elevation. Arquivos Brasileiros de Cardiologia. 2021;117:281-7.
Ke J, Wang X, Wu Z, Chen F. Indirect comparison of TIMI, HEART and GRACE for predicting major cardiovascular events in patients admitted to the emergency department with acute chest pain: a systematic review and meta-analysis. BMJ open. 2021;11(8):e048356.
Lee J, Mulder F, Leeflang M, Wolff R, Whiting P, Bossuyt PM. QUAPAS: An Adaptation of the QUADAS-2 Tool to Assess Prognostic Accuracy Studies. Ann Intern Med. 2022;175(7):1010-8.
Yang B, Mustafa RA, Bossuyt PM, Brozek J, Hultcrantz M, Leeflang MM, et al. GRADE Guidance: 31. Assessing the certainty across a body of evidence for comparative test accuracy. Journal of clinical epidemiology. 2021;136:146-56.
Al-Zaiti SS, Faramand Z, Alrawashdeh MO, Sereika SM, Martin-Gill C, Callaway C. Comparison of clinical risk scores for triaging high-risk chest pain patients at the emergency department. Am J Emerg Med. 2019;37(3):461-7.
Carlton EW, Khattab A, Greaves K. Identifying Patients Suitable for Discharge After a Single-Presentation High-Sensitivity Troponin Result: A Comparison of Five Established Risk Scores and Two High-Sensitivity Assays. Ann Emerg Med. 2015;66(6):635-45 e1.
Chae MK, Kim EK, Jung KY, Shin TG, Sim MS, Jo IJ, et al. Triple rule-out computed tomography for risk stratification of patients with acute chest pain. J Cardiovasc Comput Tomogr. 2016;10(4):291-300.
Chen XH, Jiang HL, Li YM, Chan CPY, Mo JR, Tian CW, et al. Prognostic values of 4 risk scores in Chinese patients with chest pain: Prospective 2-centre cohort study. Medicine (Baltimore). 2016;95(52):e4778.
Chew PG, Frost F, Mullen L, Fisher M, Zadeh H, Grainger R, et al. A direct comparison of decision rules for early discharge of suspected acute coronary syndromes in the era of high sensitivity troponin. Eur Heart J Acute Cardiovasc Care. 2019;8(5):421-31.
Dinesh MV, Ramesh AC, Rangaswamy KMM, Veerendranath HK. A prospective risk stratification and validation of HEART, GRACE and TIMI scores for chest pain patients presenting to the emergency department. Journal of Emergency Practice and Trauma. 2022;8(2):134-40.
Dupuy AM, Pasquier G, Thiebaut L, Roubille F, Sebbane M, Cristol JP. Additive value of bioclinical risk scores to high sensitivity troponins-only strategy in acute coronary syndrome. Clin Chim Acta. 2021;523:273-84.
Han K-W, Chen S-Y, Weng Y-M, Ng C-J, Chiu T-F, Hsieh IC, et al. Validation of different score systems in predicting cardiac arrest occurrence of ST-elevation myocardial infarction. Hong Kong Journal of Emergency Medicine. 2017;24(5):224-9.
Hrecko J, Dokoupil J, Pudil R. Comparison of six decision aid rules for diagnosis of acute myocardial infarction in elderly patients presenting to the emergency department with acute chest pain. Bratisl Lek Listy. 2022;123(4):282-90.
Jukneviciene R, Juknevicius V, Jasiunas E, Rasciute B, Barysiene J, Mataciunas M, et al. Chest pain in the emergency department: From score to core-A prospective clinical study. Medicine (Baltimore). 2022;101(29):e29579.
Liu N, Sakamoto JT, Cao J, Koh ZX, Ho AFW, Lin Z, et al. Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events. Cognitive Computation. 2017;9(4):545-54.
Ng M, Tan HJG, Gao F, Tan JWC, Lim SH, Ong MEH, et al. Comparative prospective study of the performance of chest pain scores and clinical assessment in an emergency department cohort in Singapore. J Am Coll Emerg Physicians Open. 2020;1(5):723-9.
Poldervaart JM, Langedijk M, Backus BE, Dekker IMC, Six AJ, Doevendans PA, et al. Comparison of the GRACE, HEART and TIMI score to predict major adverse cardiac events in chest pain patients at the emergency department. Int J Cardiol. 2017;227:656-61.
Reaney PDW, Elliott HI, Noman A, Cooper JG. Risk stratifying chest pain patients in the emergency department using HEART, GRACE and TIMI scores, with a single contemporary troponin result, to predict major adverse cardiac events. Emerg Med J. 2018;35(7):420-7.
Ruangsomboon O, Thirawattanasoot N, Chakorn T, Limsuwat C, Monsomboon A, Praphruetkit N, et al. The utility of the 1-hour high-sensitivity cardiac troponin T algorithm compared with and combined with five early rule-out scores in high-acuity chest pain emergency patients. Int J Cardiol. 2021;322:23-8.
Sakamoto JT, Liu N, Koh ZX, Fung NX, Heldeweg ML, Ng JC, et al. Comparing HEART, TIMI, and GRACE scores for prediction of 30-day major adverse cardiac events in high acuity chest pain patients in the emergency department. Int J Cardiol. 2016;221:759-64.
Shin YS, Ahn S, Kim YJ, Ryoo SM, Sohn CH, Kim WY. Risk stratification of patients with chest pain or anginal equivalents in the emergency department. Intern Emerg Med. 2020;15(2):319-26.
Singer AJ, Than MP, Smith S, McCullough P, Barrett TW, Birkhahn R, et al. Missed myocardial infarctions in ED patients prospectively categorized as low risk by established risk scores. Am J Emerg Med. 2017;35(5):704-9.
Steiro OT, Tjora HL, Langorgen J, Bjorneklett R, Nygard OK, Skadberg O, et al. Clinical risk scores identify more patients at risk for cardiovascular events within 30 days as compared to standard ACS risk criteria: the WESTCOR study. Eur Heart J Acute Cardiovasc Care. 2021;10(3):287-301.
Tekin E, Ozlu I, Onur Can N, Yilmaz S. Comparison of the integrated pulmonary index with cardiac risk scores in acute coronary syndromes. Annals of Clinical and Analytical Medicine. 2021;12(03).
Torralba F, Navarro A, la Hoz JC, Ortiz C, Botero A, Alarcon F, et al. HEART, TIMI, and GRACE Scores for Prediction of 30-Day Major Adverse Cardiovascular Events in the Era of High-Sensitivity Troponin. Arq Bras Cardiol. 2020;114(5):795-802.
Wong CP, Lui CT, Sung JG, Lam H, Fung HT, Yam PW. Prognosticating Clinical Prediction Scores Without Clinical Gestalt for Patients With Chest Pain in the Emergency Department. J Emerg Med. 2018;54(2):176-85.
Yang B, Bai L, Zhang Y, Cheng Y, Zhao C, Huang B, et al. The Value of Different Short-Term Risk Scoring Models in Predicting Long-Term Death of Acute Myocardial Infarction. J Clin Med. 2022;11(17).
Zheng W, Wang G, Ma J, Wu S, Zhang H, Zheng J, et al. Evaluation and comparison of six GRACE models for the stratification of undifferentiated chest pain in the emergency department. BMC Cardiovasc Disord. 2020;20(1):199.
Van Den Berg P, Body R. The HEART score for early rule out of acute coronary syndromes in the emergency department: a systematic review and meta-analysis. Eur Heart J Acute Cardiovasc Care. 2018;7(2):111-9.
Six AJ, Backus BE, Kelder JC. Chest pain in the emergency room: value of the HEART dvotr. Netherlands Heart Journal. 2008;16(6):191-6.
Backus BE, Six AJ, Kelder JH, Gibler WB, Moll FL, Doevendans PA. Risk Scores for Patients with Chest Pain: Evaluation in the Emergency Department. Current Cardiology Reviews. 2011;7(1):2-8.
Brady W, de Souza K. The HEART score: A guide to its application in the emergency department. Turk J Emerg Med. 2018;18(2):47-51.
- Abstract Viewed: 887 times
- pdf Downloaded: 839 times