Proenkephalin for early post–MI risk stratification: comparative prognostic performance versus NT‑proBNP and GRACE
DOI:
https://doi.org/10.18203/2320-6012.ijrms20260241Keywords:
Cardiorenal syndrome, NT-proBNP, Proenkaphlin, Grace score, Myocardial infarctionAbstract
Background: Accurate post–myocardial infarction (MI) risk stratification is essential, yet clinical scores and natriuretic peptides incompletely capture early cardiorenal stress. Proenkephalin (PENK), a stable endogenous opioid precursor, reflects early glomerular dysfunction and neurohormonal activation. This study evaluated PENK for mortality prediction after MI compared with NT-proBNP and the GRACE risk score and identified optimal cutoffs.
Methods: In this prospective observational cohort, 50 consecutive MI patients enrolled between December 2024 and July 2025 at a tertiary center were studied. Clinical variables, lifestyle factors, comorbidities, hemodynamics, Killip class, MI type and biomarkers (Troponin-I, serum creatinine, NT-proBNP and Proenkephalin) were measured at presentation and Day 28. GRACE scores were calculated at baseline. The primary outcome was all-cause mortality. Cox proportional hazards models assessed independent prognostic value and ROC analysis compared discrimination and derived cutoffs.
Results: Mean age was 62.25±15.19 years; 68% were male, 66% smokers, 46% diabetics and 48% hypertensive. STEMI constituted 62%. Killip class I–IV: 42%, 28%, 8% and 22%. Troponin-I declined from 5,925±11,262 to 784±1,431 pg/ml (p=0.005). NT-proBNP remained elevated (4,019±4,096 to 3,880±3,695 pg/ml, p=0.001). PENK decreased from 138±35 to 89.7±28.5 pg/ml (p=0.003). Mean GRACE score was 133.6±38.1, mortality was 6%. PENK (HR 1.004, p=0.011), NT-proBNP (HR 1.001, p=0.048) and GRACE (HR 1.015, p=0.002) independently predicted mortality. ROC AUCs were 0.78 (PENK), 0.74 (NT-proBNP) and 0.69 (GRACE).
Conclusions: Proenkephalin provided the strongest mortality discrimination after MI with high negative predictive value, complementing NT-proBNP and GRACE for refined post-MI risk stratification.
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References
James SL, Abate D, Abate KH. Global, regional and national incidence, prevalence and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study. 2017. Lancet. 2018;392:1789-858.
Groenewegen A, Rutten FH, Mosterd A. Epidemiology of heart failure. Eur J Heart Fail. 2020;22:1342-56. DOI: https://doi.org/10.1002/ejhf.1858
Heidenreich PA, Albert NM, Allen LA. Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail. 2013;6:606-19. DOI: https://doi.org/10.1161/HHF.0b013e318291329a
Fonarow GC. The Acute Decompensated Heart Failure National Registry (ADHERE): opportunities to improve care of patients hospitalized with acute decompensated heart failure. Rev Cardiovasc Med. 2003472130.
Kanagala P, Squire IB, Jones DJ. Proenkephalin and prognosis in heart failure with preserved ejection fraction: a GREAT network study. Clin Res Cardiol. 2019;108:940-9. DOI: https://doi.org/10.1007/s00392-019-01424-y
Pepe S, van den Brink OW, Lakatta EG, Xiao RP. Cross-talk of opioid peptide receptor and beta-adrenergic receptor signalling in the heart. Cardiovasc Res. 2004;63:414-22. DOI: https://doi.org/10.1016/j.cardiores.2004.04.022
Imai N, Kashiki M, Woolf PD, Liang CS. Comparison of cardiovascular effects of mu- and delta-opioid receptor antagonists in dogs with congestive heart failure. Am J Physiol. 19942673;2:912-7. DOI: https://doi.org/10.1152/ajpheart.1994.267.3.H912
Denning GM, Ackermann LW, Barna TJ. Proenkephalin expression and enkephalin release are widely observed in non-neuronal tissues. Peptides. 2008;29:83-92. DOI: https://doi.org/10.1016/j.peptides.2007.11.004
Schultz JE, Hsu AK, Gross GJ. Ischemic preconditioning in the intact rat heart is mediated by delta1- but not mu- or kappa-opioid receptors. Circulation. 1998;97:1282-9. DOI: https://doi.org/10.1161/01.CIR.97.13.1282
Felker GM, Anstrom KJ, Adams KF. Effect of natriuretic peptide-guided therapy on hospitalization or cardiovascular mortality in high-risk patients with heart failure and reduced ejection fraction: a randomized clinical trial. JAMA. 2017;318:713-20. DOI: https://doi.org/10.1001/jama.2017.10565
Ng LL, Squire IB, Jones DJ. Proenkephalin, renal dysfunction and prognosis in patients with acute heart failure: a GREAT Network study. J Am Coll Cardiol. 2017;69:56-69.
Proenkephalin, Renal Dysfunction and Prognosis in Patients with Acute Heart Failure: A GREAT Network Study. J. Am. Coll. Cardiol. 2017;69:56-69. DOI: https://doi.org/10.1016/j.jacc.2016.10.038
Arbit B, Marston N, Shah K. Prognostic usefulness of proenkephalin in stable ambulatory patients with heart failure. Am J Cardiol. 2016;117:1310-4. DOI: https://doi.org/10.1016/j.amjcard.2016.01.042
Matsue Y, Ter Maaten JM, Struck J. Clinical correlates and prognostic value of proenkephalin in acute and chronic heart failure. J Card Fail. 2017;23:231-9. DOI: https://doi.org/10.1016/j.cardfail.2016.09.007
Emmens JE, Ter Maaten JM, Damman K. Proenkephalin, an opioid system surrogate, as a novel comprehensive renal marker in heart failure. Circ Heart Fail. 2019;12:005544. DOI: https://doi.org/10.1161/CIRCHEARTFAILURE.118.005544
Ng LL, Sandhu JK, Narayan H. Proenkephalin and prognosis after acute myocardial infarction. J Am Coll Cardiol. 2014;63:280-9. DOI: https://doi.org/10.1016/j.jacc.2013.09.037
Siranart N, Laohasurayotin K, Chokesuwattanaskul R. Proenkephalin as a novel prognostic marker in heart failure patients: a meta-analysis. Eur Heart J. 2022;43:544-908. DOI: https://doi.org/10.1093/eurheartj/ehac544.908
Wenzl FA, Wang P, Arrigo M. Proenkephalin improves cardio-renal risk prediction in acute coronary syndromes: the KID-ACS score. Eur Heart J. 2025;46:38-54. DOI: https://doi.org/10.1093/eurheartj/ehae602
Leong DP, Joseph PG, McKee M. Reducing the global burden of cardiovascular disease, part 2: prevention and treatment of cardiovascular disease. Circulation. 2022;146:1215-30.
Emmens JE, Ter Maaten JM, Brouwers FP. Proenkephalin and the risk of new‐onset heart failure: data from prevention of renal and vascular end‐stage disease. Clin Cardiol. 2021;44:1662=72. DOI: https://doi.org/10.1002/clc.23729
Tan R, Chokesuwattanaskul R, Laohasurayotin K. Prognostic accuracy of proenkephalin in acute myocardial infarction: a systematic review and meta-analysis. Front Cardiovasc Med. 2023;10:1162632.
Kawamura Y, Yoshimachi F, Murotani N. Comparison of mortality prediction by the GRACE score, multiple biomarkers and their combination in all-comer patients with acute myocardial infarction undergoing primary percutaneous coronary intervention. Intern Med. 2023;62:503-10. DOI: https://doi.org/10.2169/internalmedicine.9486-22
Yao Y, Shao C, Li X. A novel biomarker scoring system alone or in combination with the GRACE score for the prognostic assessment in non-ST-elevation myocardial infarction. Clin Epidemiol. 2022;14:911-23. DOI: https://doi.org/10.2147/CLEP.S370004
Siranart N, Laohasurayotin K, Phanthong T. Proenkephalin as a novel prognostic marker in heart failure patients: a systematic review and meta-analysis. Int J Mol Sci. 2023;24:4887. DOI: https://doi.org/10.3390/ijms24054887
Bradshaw PJ, Ko DT, Newman AM, Donovan LR, Tu JV. Validity of the GRACE (Global Registry of Acute Coronary Events) acute coronary syndrome prediction model for six month post-discharge death in an independent data set. Heart. 2006;92:905-9. DOI: https://doi.org/10.1136/hrt.2005.073122