Major adverse cardiovascular events

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Major adverse cardiovascular events (MACE, or major adverse cardiac events) is a composite endpoint frequently used in cardiovascular research.[1][2] Despite widespread use of the term in clinical trials, the definitions of MACE can differ, which makes comparison of similar studies difficult.[3]

Definition

The so-called "classical 3-point MACE" is defined as a composite of nonfatal stroke, nonfatal myocardial infarction, and cardiovascular death.[4][5] But another study defines MACE as "CVD events, admission for HF (Heart Failure), ischemic cardiovascular [CV] events, cardiac death, or MACE".[6] Yet another study defined MACE as "CV death, hospitalization for HF, or myocardial infarction (MI)".[7]

The heterogeneity of the sets defining MACE, hampering systematic reviews and meta-analyses, has been repeatedly criticized.[8][9][10]

Risk factors for MACE

Which conditions are risk factors for MACE depends on some characteristics of the investigated cohort. Established risk indicators in the general population include age, pre-existing cardiovascular disease, smoking, diabetes mellitus, elevated concentrations of triglycerides and non-HDL cholesterol concentration, reduced HDL concentration and hypertension, as, e. g., demonstrated by the Framingham Heart Study. More recently, additional risk indicators have been identified, e. g. type 2 allostatic load,[11] high-sensitivity C-reactive protein, d-dimer level,[12] renal failure[13] and altered thyroid function.[14][15][16][17]

Therapeutic interventions

Two reviews have concluded that SGLT2 inhibitors benefit patients with atherosclerotic MACE.[18][19] One of those studies defined MACE as the composite of myocardial infarction, stroke, or cardiovascular death.[18] Other studies have shown MACE to be potently predicted by levels of ceramide found in patients.[20]


References

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  2. ^ Chong WH, Yanoff LB, Andraca-Carrera E, Hai MT (2020). "Assessing the Safety of Glucose-Lowering Drugs - A New Focus for the FDA". The New England Journal of Medicine. 383 (13): 1199–1202. doi:10.1056/NEJMp2004889. PMID 32966719. S2CID 221888300.
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  6. ^ Heianza Y, Ma W, Manson JE, Rexrode KM, Qi L (2017). "Gut Microbiota Metabolites and Risk of Major Adverse Cardiovascular Disease Events and Death: A Systematic Review and Meta-Analysis of Prospective Studies". Journal of the American Heart Association. 6 (7): e004947. doi:10.1161/JAHA.116.004947. PMC 5586261. PMID 28663251.
  7. ^ Ramchand J, Patel SK, Srivastava PM, Farouque O, Burrell LM (2018). "Elevated plasma angiotensin converting enzyme 2 activity is an independent predictor of major adverse cardiac events in patients with obstructive coronary artery disease". PLOS One. 13 (6): e0198144. Bibcode:2018PLoSO..1398144R. doi:10.1371/journal.pone.0198144. PMC 5999069. PMID 29897923.
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  10. ^ Bosco, E; Hsueh, L; McConeghy, KW; Gravenstein, S; Saade, E (6 November 2021). "Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review". BMC Medical Research Methodology. 21 (1): 241. doi:10.1186/s12874-021-01440-5. PMC 8571870. PMID 34742250. S2CID 243767377.
  11. ^ Robertson, T; Beveridge, G; Bromley, C (2017). "Allostatic load as a predictor of all-cause and cause-specific mortality in the general population: Evidence from the Scottish Health Survey". PLOS ONE. 12 (8): e0183297. Bibcode:2017PLoSO..1283297R. doi:10.1371/journal.pone.0183297. PMC 5559080. PMID 28813505.
  12. ^ Zhao, X; Liu, C; Zhou, P; Sheng, Z; Li, J; Zhou, J; Chen, R; Wang, Y; Chen, Y; Song, L; Zhao, H; Yan, H (2020). "Estimation of Major Adverse Cardiovascular Events in Patients With Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention: A Risk Prediction Score Model From a Derivation and Validation Study". Frontiers in Cardiovascular Medicine. 7: 603621. doi:10.3389/fcvm.2020.603621. PMC 7728669. PMID 33330667.
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  20. ^ Tippetts TS, Holland WL, Summers SA (2021). "Cholesterol - the devil you know; ceramide - the devil you don't". Trends in Pharmacological Sciences. 42 (12): 1082–1095. doi:10.1016/j.tips.2021.10.001. PMC 8595778. PMID 34750017.