About the Author(s)


Preesha Premsagar Email symbol
Department of Internal Medicine, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa

Colleen Aldous symbol
Department of Clinical Medicine, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa

Tonya Esterhuizen symbol
Division of Epidemiology/Biostatistics, Department of Global Health, Faculty of Medical and Health Sciences, Stellenbosch University, Stellenbosch, South Africa

Citation


Premsagar P, Aldous C, Esterhuizen T. Cardiac scoring systems, coronary artery disease and major adverse cardiovascular events: A scoping review. S Afr Fam Pract. 2023;65(1), a5683. https://doi.org/10.4102/safp.v65i1.5683

Original Research

Cardiac scoring systems, coronary artery disease and major adverse cardiovascular events: A scoping review

Preesha Premsagar, Colleen Aldous, Tonya Esterhuizen

Received: 22 Nov. 2022; Accepted: 09 Feb. 2023; Published: 10 Aug. 2023

Copyright: © 2023. The Author(s). Licensee: AOSIS.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background: In 2019, the World Health Organization (WHO) declared coronary artery disease (CAD) as the leading cause of death globally for the last 20 years. Early screening and detection (primary prevention) and intervention (secondary prevention) are necessary to curb CAD and major adverse cardiovascular event (MACE) prevalence. A scoping review to assess the current literature on using cardiac scoring systems to predict CAD and MACE was performed.

Methods: The research question ‘What is the literature on using cardiac scoring systems to predict CAD and MACE?’ was addressed. The updated Arksey and O’Malley and the Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews methodologies were used. The search terms ‘coronary artery disease’ and ‘cardiac scoring systems’ and ‘major adverse cardiovascular events’ were used in the Boolean search on PubMed, ScienceDirect, MedLine and Cochrane Library.

Results: The final list consisted of 19 published English results after the year 2000. There were six results without participants (four clinical guidelines, one review article and one ongoing clinical trial). Scoring systems were cardiovascular risk estimation systems focusing on the primary prevention of CAD; MACE was discussed but not scored. There were 13 robust results published from completed multinational clinical trials with participants. These results focused on a scoring system for the secondary prevention of CAD and MACE.

Conclusion: Scoring systems remain an objective method for primary and secondary prevention of CAD and MACE.

Contribution: Scoring systems may be helpful with clinical uncertainty or to standardise patient results for comparison in research.

Keywords: scoping review; coronary artery disease CAD; cardiac scoring systems; major adverse cardiovascular events MACE.

Introduction

In 2020, the World Health Organization (WHO) declared coronary artery disease (CAD) to be the leading cause of death globally for last 20 years. Moreover, CAD had escalated to 9 million cases in 2019, representing 16% of total deaths worldwide.1 Reported statistics in 2022 suggest that the prevalence of CAD and related deaths had further increased due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with many overall under-reported cases.2 The impact of CAD and, subsequently, of major adverse cardiovascular events (MACE) has been explored in every aspect, including, but not limited to, quality of life, life expectancy, financial implications, overall health economic effects and mortality. Major adverse cardiovascular event incurs high costs in medical care for patients, their families and society.3,4,5,6,7 Evidence suggests a growing prevalence of CAD annually, causing a substantial overall disease burden measured in disability-adjusted life-years lost (DALY). Coronary artery disease and cerebrovascular accidents (CVA) result in substantial long-term morbidity and are confirmed to be the leading causes of overall disease burden as measured in DALYs.7

Early screening and detection (primary prevention), and intervention (secondary prevention)8 remain the most reasonable method to curb future CAD and MACE prevalence. The literature on scoring systems used for primary and secondary prevention for CAD and MACE is evaluated in this scoping review.

Research question and objective

Our research question was, ‘What is the literature on using cardiac scoring systems to predict CAD and MACE?’ The objective of this scoping review was to map the literature on the use of cardiac scoring systems to predict CAD and MACE.

Method

A literature review following the updated Arksey and O’Malley scoping review methodology was conducted9 and further refined by the Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) using the checklist.10,11 Criteria for eligibility were results published from the year 2000 onwards, with full text available in English, that were relevant to the research question. The Arskey and O’Malley scoping review guidelines do not require non-English or previous-century literature to be removed; it remains an option. Literature before 2000 and non-English literature were removed to ensure that the search is relevant, contemporary and contextually understandable. A protocol was not designed for the scoping review specifically but was designed and accepted for a dissertation that followed the scoping review (Registration at the University of KwaZulu-Natal, BE 513/17).

A literature search was conducted on 01 October 2022. The search terms ‘coronary artery disease’ and ‘cardiac scoring systems’ and ‘major adverse cardiovascular events’ were used in the Boolean search on PubMed, ScienceDirect, MedLine and Cochrane Library databases. These databases were used because they are the most relevant concerning the subject matter and research question. Selected results included research articles, review articles, clinical guidelines, meta-analyses and randomised clinical trials (RCTs). Protocols and registries from RCTs were also included as part of the scoping review. Results of all methods (qualitative, quantitative and mixed analyses) were included. Data charting were done by a single reviewer and confirmed by an information technologist for consistency and accuracy.

For the purpose of this scoping review:

  • Cardiac scoring systems included all numerically evaluated systems for cardiovascular risk estimation systems, image-based systems and investigation result scores that were used to assess current disease severity or evaluate future risk.
  • Coronary artery disease referred to a confirmed acute coronary event such as a myocardial infarction or significant luminal stenosis ≥ 50% of in one or more major coronary vessel(s) on angiography.
  • Primary prevention referred to medical and lifestyle treatment to screen, detect and prevent CAD.8
  • Any other conditions not yet confirmed were considered suspected CAD for investigation.
  • The definition of MACE was taken as a cardiac event (including confirming CAD in a patient who is already on primary prevention) or anyone other adverse complication of CAD, such as re-infarction, stent blocking and heart failure.
  • Secondary prevention referred to interventional, medical and/or lifestyle treatment to prevent MACE.8

The results extracted from the databases were transferred to Endnote version 20.0. This included all the results obtained from Boolean search terms applied to the databases. Unavailable results were manually found through the University of KwaZulu-Natal library. The inclusion and exclusion criteria were methodically applied for charting (Table 1) and sifted by relevance, usefulness, processes and context to the overall objective. Abstracts, and full articles, whenever available, were read for a suitable selection in the final results. Every effort was made to ensure that the approach was uniform and consistent in the final selection, such as carefully adhering to the inclusion and exclusion criteria and removing grey literature that was not fully clear or transparent. The evidence gathered was charted.

TABLE 1: Inclusion and exclusion criteria of results extracted from the databases.
Ethical considerations

Ethical clearance to conduct this study was obtained from the Biomedical Research Ethics Committee of the University of KwaZulu-Natal (reference no. BE513/17).

Results

There were 111 results returned that matched the search terms on the databases through online and manual searching (Figure 1 and Table 2). These results were transferred to EndNote 20.0.

FIGURE 1: A chart of online and manual search results of the databases.

TABLE 2: All results of online and manual searches that matched the search terms on the databases (N = 111).

There were two results from before 2000 (1983 and 1996), one non-English result (Korean) and two duplicates removed. There were 106 results remaining. After that, 16 grey area results (unpublished, pre-print, not peer-reviewed) were removed. The Arksey and O’Malley scoping review guidelines do not require the removal of grey literature from the search. However, grey literature was removed in this scoping review to be uniform and consistent; literature that was not clear and transparent, inclusion and/or exclusion criteria could not be confidently applied, or sources, authors and institutions that were not easily identified were removed. Thereafter, 90 results remained. Eight results were removed from cross-over topics with other disciplines (such as oncology, transplantation medicine, gestation, etc.), and 82 remained.

There were 27 results removed because they were on specific interventional RCT protocols, registries or studies, drug trials (such as immune-suppressants, dietary supplements and investigational molecules) or implantable/deployable cardiac devices (such as stents and surgical devices), and 55 results remained. Lastly, a further 37 results were removed because, although they were selected in the search terms on the databases, upon reading the articles, these results studied very niche areas (for example, intraoperative risk scoring for cardiac complications) and therefore were not related to the research question.

General audit

The final set of results that best matched the research questions were 19 results (19/111 is 18% of the original result search with search terms) (Figure 1 and Table 3). These 19 final results ranged from 2007 to 2022 and contained 13 research articles, four clinical guidelines, one review article and one ongoing registered clinical trial (Table 3).

TABLE 3: Final results that best matched the research questions (n = 19).
Two types of results were distinguished
  • Without patients. Focusing on primary prevention of CAD. Major adverse cardiovascular events discussed but not scored (n = 6).
  • With patients. Focusing on secondary prevention of CAD and MACE (n = 13).
Results without participants (n = 6)

Out of the 19 results, six had no participants; these were four clinical guidelines, one review article and one ongoing RCT. The RCT included in the final list of 19 was observational, did not involve a specific interventional drug or device, and had no listed patients on the search date.30 The guidelines and review article focused on scoring systems, which were also subjective questionnaires, to establish risk for CAD. Thereafter further tests were performed. Management was broadly discussed with a focus on treatment options for both CAD and other causes of chest pain. They were focused on cardiovascular risk estimation scoring systems for primary prevention and were dedicated to screening and detection of CAD in situations where the clinical evidence was non-specific and patients needed risk stratification. These results were captured in the Boolean Search because MACE was also discussed, but the scoring systems for MACE were not explored further. The sources of these clinical guidelines and review articles were from the United Kingdom or the United States. These six results were not included in the individual sources of evidence analysis because they were general guidelines on primary prevention and did not include actual patient participation.

Results with participants (individual sources of evidence) (n = 13)

The 13 remaining results that were included in the individual sources of evidence analysis were the research articles with enrolled participants. Many studies were subgroups of more extensive registered clinical trials (National Clinical Trial [NCT] numbers provided). Three studies26,27,29 consisted of overlap from different clinical trials. Trials were multinational and were located at sites worldwide. The smallest and largest study had 296 and 18 278 participants, respectively. The studies showed an overall increase in the number of participants over the years (Figure 2), with more male participants.

FIGURE 2: Number of participants for results in chronological order of publication (n = 13).

Unlike the six results without participants, these 13 consisted of enrolled participants with established CAD at baseline, often having undergone intervention, such as bypass grafting. The scoring systems were more objective, and the SYNTAX score was the most frequently evaluated scoring system. The 13 results with participants focused technically on the inherent advantages and disadvantages of various forms of intervention in groups and subgroups of individuals. Major adverse cardiovascular events were measured over variable periods ranging from 1 to 5 years. The results measured the MACE endpoint, with all-cause mortality and morbidity as the primary outcome. The other individual MACE endpoints were measured, which varied from study to study (Table 4). These studies were focused on scoring systems for secondary prevention (and tertiary) and therefore were dedicated to the intervention of CAD and MACE.

TABLE 4: Baseline and major adverse cardiovascular events of individual sources of evidence (n = 13).

The baseline assessment of the 17 results included:

  • 4 with NSTEMI/STEMI
  • 4 with PCI
  • 3 with multivessel/complex disease
  • 3 with outpatients/family history
  • 2 with CABG
  • 1 with diabetes on insulin.

Individual MACE endpoints measured on results were: eight death, eight ACS, five revascularisations, four stroke, one heart failure, one thromboembolic disease and one arrhythmia (Table 4).

Representation of the outcome of major adverse cardiovascular events from the individual sources of evidence

These 13 studies also presented their findings in various ways. Eight studies presented findings as a hazard ratio, four as a c-index, and one as a receiver operating characteristic (ROC) curve, with the area under the curve calculated. Groups were compared based on the baseline differences in risk factors (such as people with diabetes and people without diabetes) or treatment groups (such as PCI or bypass), and the scoring system was used to measure the MACE outcome (Table 5 and Table 6).

TABLE 5: Characteristics of data extracted (n = 19).
TABLE 6: Individual sources of evidence (n = 13).

Discussion

This scoping review mapped the literature on the use of cardiac scoring systems to predict CAD and MACE using the search terms, ‘coronary artery disease’ and ‘cardiac scoring systems’ and ‘major adverse cardiovascular events’ in a Boolean search on PubMed, ScienceDirect, MedLine and Cochrane Library. There were initially 111 results found, and 92 were removed on application of inclusion and exclusion criteria. There were 19 final results obtained which can be divided into two dichotomous groups: six that had no participants and 13 that had participants. The six results without participants were clinical guidelines, a review article and one actively enrolling clinical trial. The focus was primary prevention which involved screening and detecting CAD using cardiovascular risk estimation scoring systems. Management options and the risk of MACE were briefly discussed but scored.

The remaining 13 research articles included participants with established CAD. At baseline, they were grouped according to their disease profile and risk factors. The scoring systems were directed to secondary and tertiary prevention in patients with established CAD at baseline and to predict the risk of future MACE up to 5 years ahead. These results were mostly published from completed landmark clinical trials. This added to the robust nature of these results.

All studies concurred that scoring systems were an objective, standardised and accurate method to predict disease risk and compare differences between groups of participants with an outcome of interest. Some studies26,27,29 have also demonstrated that scoring systems are constantly being revised and updated as newer research becomes available. Overall, the 19 studies identified highlight the concern for CAD and MACE and the need to objectively mitigate this risk. There is, however, limited research in this area, given that CAD remains a leading cause of death worldwide.1

Limitations

The limitations of this method were as follows:

  • Studies that were non-English without a complete translation were excluded.
  • There were four databases used, and many more do exist that may hold more reliable results.
  • Unlike a systematic review, this scoping review had a limited appraisal of the quality of the studies.
  • The search did not extend to contacting authors or searching by open researcher and contributor identification (ORCID).
  • A limited number of databases were searched, and further searches may find more results.
  • Grey literature, non-English literature and literature before the year 2000 were removed.
  • Note: If the Boolean search included only ‘cardiac scoring systems’ and ‘coronary artery disease’ (leaving out ‘major adverse cardiovascular events’), just the two search terms would have found a great abundance of results on primary prevention of CAD using cardiovascular risk estimation scoring systems. The addition of the third search term, ‘major adverse cardiovascular events’, filtered the potentially abundant results to only those six that discuss MACE, even though no scoring systems for MACE are provided.
Further recommendations

Further interrogation of the quality of the evidence in the studies found is necessary. A systemic review may be undertaken.

Conclusion

This scoping review demonstrates a small volume of literature on using cardiac scoring systems to screen CAD (primary prevention) and/or prevent or treat MACE (secondary prevention). However, these 19 results were comprehensive because they included a wide spectrum of research, from guidelines for suspected chest pain patients to research predicting all-cause morbidity and mortality from MACE in 5 years. There is, however, sparse research when all three Boolean terms, ‘cardiac scoring systems’ and ‘coronary artery disease’ and ‘major adverse cardiovascular events’ are used.

While there is a paucity of research on the searched question, the desired number of results remains arbitrary because of the quality of the literature. Nonetheless, the gathered evidence suggests that scoring systems remain objective methods to help establish a diagnosis of CAD (cardiovascular risk estimation scoring systems for primary prevention) or predict and intervene CAD or MACE (secondary prevention). This applies specifically to areas of clinical uncertainty or to standardise patient results for comparison in research.

Acknowledgements

Competing interests

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Authors’ contributions

P.P contributed to data extraction and writing of the article. C.A. contributed to research logistics, technical accuracy, quality and writing of the article. T.E. contributed to research logistics, technical accuracy, quality and writing of the article.

Funding information

This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Data availability

Data sharing is not applicable to this article as no new data were created or analysed in this study.

Disclaimer

The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.

References

  1. WHO reveals leading causes of death and disability worldwide: 2000-2019. 2020 Dec [cited 2023 Feb 05] Available from https://www.who.int/news/item/09-12-2020-who-reveals-leading-causes-of-death-and-disability-worldwide-2000-2019
  2. World Health Organization. World health statistics, 2022: Monitoring health for the SDGs, sustainable development goals [homepage on the Internet]. Geneva: World Health Organization; 2022. [cited 2023 Feb 05] Available from https://creativecommons.org/licenses/by-nc-sa/3.0/igo
  3. Johnson KW, Torres Soto J, Glicksberg BS, et al. Artificial intelligence in cardiology. J Am Coll Cardiol. 2018;71(23):2668–2679.
  4. Ranjith N, Pegoraro RJ, Naidoo DP. Demographic data and outcome of acute coronary syndrome in the South African Asian Indian population. Cardiovasc J S Afr. 2005;16(1):48–54.
  5. Ranjith N, Pegoraro RJ, Zaahl MG. Risk factors associated with acute coronary syndromes in South African Asian Indian Patients [The AIR Study]. J. Clin. Exp. Cardiol. 2011;2(10):1–5.
  6. The BARI Investigators. The final 10-year follow-up: Results from the BARI randomized trial. J Am Coll Cardiol. 2007;49(15):1600–1606.
  7. Kim YK, Jang CW, Kwon SH, Kim JH, Lerman A, Bae J-H. Ten-year clinical outcomes in patients with intermediate coronary stenosis according to the combined culprit lesion. Clin Cardiol. 2021;44(8):1161–1168. https://doi.org/10.1002/clc.23668
  8. Kisling LA, M Das J. Prevention strategies [homepage on the Internet]. [Updated 2022 May 08]. In: StatPearls. Treasure Island, FL: StatPearls Publishing; 2022. [cited 2023 Feb 05] Available from: https://www.ncbi.nlm.nih.gov/books/NBK537222/
  9. Arksey H. & O’Malley L. Scoping studies: Towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32. https://doi.org/10.1080/1364557032000119616
  10. Tricco AC, Lillie E, Zarin W, et al. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR): Checklist and explanation. Ann Intern Med Res Report Methods. 2018;169(7):467–473. https://doi.org/10.7326/M18-0850
  11. Page MJ, McKenzie JE, Bossuyt PM. et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Brit Med J 2021;372:n71. https://doi.org/10.1136/bmj.n71
  12. Palmerini T, Genereux P, Caixeta A, et al. Prognostic value of the SYNTAX score in patients with acute coronary syndromes undergoing percutaneous coronary intervention: Analysis from the ACUITY (Acute Catheterization and Urgent Intervention Triage StrategY). J Am Coll Cardiol. 2011;57(24):2389–2397.
  13. Genereux P, Palmerini T, Caixeta A, et al. Quantification and impact of untreated coronary artery disease after percutaneous coronary intervention: The residual SYNTAX (Synergy Between PCI With Taxus and Cardiac Surgery) Score. J Am Coll Cardiol. 2012;59(24):2165–2174.
  14. Dangas GD, Farkouh ME, Sleeper LA, et al. Long-term outcome of PCI versus CABG in insulin and non-insulin-treated diabetic patients: results from the FREEDOM trial. J Am Coll Cardiol. 2014;64(12):1189–1197.
  15. Gershlick AH, Khan JN, Kelly DJ, et al. Randomised trial of complete versus lesion-only revascularization in patients undergoing primary percutaneous coronary intervention for STEMI and multivessel disease: The CvLPRIT Trial. J Am Coll Cardiol. 2015;65(10):963–972.
  16. Scottish Intercollegiate Guidelines Network. Acute coronary syndrome: A national clinical guideline. Edinburgh, Scotland: SIGN; 2016.
  17. Taşolar H, Çetin M, Ballı M, et al. CHA2DS2-VASc-HS score in non-ST elevation acute coronary syndrome patients: Assessment of coronary artery disease severity and complexity and comparison to other scoring systems in the prediction of in hospital major adverse cardiovascular events. Anatol J Cardiol. 2016;16(10):742–748.
  18. Skelly AC, Hashimoto R, Buckley DI, et al. Non-invasive testing for coronary artery disease. In: Comparative effectiveness review No. 171. Rockville, MD: Agency for Healthcare Research and Quality Publication; 2016.
  19. National Institute for Health and Care Excellence (NICE). Recent-onset chest pain of suspected cardiac origin: Assessment and diagnosis. London: NICE; 2016
  20. Hirji SA, Stevens SR, Shaw LK, et al. Predicting risk of cardiac events among ST-segment elevation myocardial infarction patients with conservatively managed non-infarct-related artery coronary artery disease: An analysis of the Duke Databank for Cardiovascular Disease. Am Heart J. 2017;194:116–124.
  21. Yudi M, Mehran R, Baber U, et al. Prognostic significance of a previous family history of premature coronary artery disease in patients with left main disease undergoing PCI or CABG: Subgroup analysis from excel trial. J Am Coll Cardiol. 2017;70(18):B339–B340.
  22. Scottish Intercollegiate Guidelines Network. Risk estimation and the prevention of cardiovascular disease: a national clinical guideline. Edinburgh, Scotland: SIGN; 2017.
  23. Redfors B, He CH, Palmerini T, et al. The SYNTAX score does not predict risk of adverse events in patients with non-ST elevation acute coronary syndrome who undergo coronary artery bypass graft surgery. J Invasive Cardiol. 2017;29(2):42–49.
  24. Ferencik M, Mayrhofer T, Bittner DO, et al. Use of high-risk coronary atherosclerotic plaque detection for risk stratification of patients with stable chest pain: A secondary analysis of the PROMISE randomized clinical trial. JAMA Cardiol. 2018;3(2):144–152.
  25. Scottish Intercollegiate Guidelines Network, Management of stable angina: A national clinical guideline. Edinburgh, Scotland: SIGN; 2018.
  26. Hara H, Shiomi H, Van Klaveren D, et al. External validation of the SYNTAX Score II 2020. J Am Coll Cardiol. 2020;78(12):1227–1238.
  27. Takahashi K, Serruys PW, Fuster V, et al. Redevelopment and validation of the SYNTAX score II to individualise decision making between percutaneous and surgical revascularisation in patients with complex coronary artery disease: Secondary analysis of the multicentre randomised controlled SYNTAXES trial with external cohort validation. Lancet. 2020;396(10260):1399–1412.
  28. Sen J, Tonkin A, Varigos J, et al. Risk stratification of cardiovascular complications using CHA2DS2-VASc and CHADS2 scores in chronic atherosclerotic cardiovascular disease. Int J Cardiol. 2021;337:9–15.
  29. Takahashi K, Serruys PW, Fuster V, et al. External validation of the FREEDOM score for individualized decision making between CABG and PCI. J Am Coll Cardiol. 2022;79(15):1458–1473.
  30. Clinical trial iCorMicA – Stratified medicine in angina ClinicalTrials.gov. University of Glasgow; 2022.