Open this publication in new window or tab >>NHS England, Natl Dis Registrat Serv, London E14 4PU, England..
NHS England, Natl Dis Registrat Serv, London E14 4PU, England..
Med Univ Graz, Comprehens Canc Ctr Graz, Graz, Austria..
Univ Hosp Zurich, Dept Cardiol, Zurich, Switzerland.;Deutsch Herzzentrum Charite, Dept Cardiol Angiol & Intens Care Med, Berlin, Germany..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Uppsala Clinical Research Center (UCR).
Natl Inst Cardiovasc Outcomes Res, NHS Arden & Greater East Midlands Commissioning Su, Leicester, Leics, England..
Univ Zurich, Ctr Mol Cardiol, Schlieren, Switzerland.;Chinese Acad Med Sci & Peking Union Med Coll, Natl Clin Res Ctr Cardiovasc Dis, Fuwai Hosp, Natl Ctr Cardiovasc Dis,Dept Cardiol, Beijing, Peoples R China..
Univ Bern, Bern Univ Hosp, Dept Cardiol, Bern, Switzerland..
Karolinska Inst, Dept Med Solna, Solna, Sweden..
Glangwili Gen Hosp, Carmarthen, England..
Univ Med Greifswald, Dept Cardiol & Internal Med B, Greifswald, Germany.;German Ctr Cardiovasc Res DZHK, Greifswald, Germany.;Univ Genoa, Dept Internal Med, Clin Internal Med 1, Genoa, Italy..
Univ Zurich, Ctr Mol Cardiol, Schlieren, Switzerland.;Univ Med Greifswald, Dept Cardiol & Internal Med B, Greifswald, Germany.;German Ctr Cardiovasc Res DZHK, Greifswald, Germany..
Kantonsspital St Gallen, Cardiol Div, St Gallen, Switzerland..
Univ Zurich, Epidemiol Biostat & Prevent Inst, AMIS Plus Data Ctr, Zurich, Switzerland..
Univ Bern, Bern Univ Hosp, Dept Cardiol, Bern, Switzerland.;Lindenhofgrp, Bern, Switzerland..
Univ Bern, Bern Univ Hosp, Dept Cardiol, Bern, Switzerland..
Univ Leicester, Glenfield Hosp, Leicester, Leicst, England.;Canc Res UK, Oxford, England..
UCL, Inst Cardiovasc Sci, London, England..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Uppsala Clinical Research Center (UCR).
Univ Leicester, Dept Cardiovasc Sci, Leicester, Leicst, England.;Leicester British Heart Fdn, Ctr Res Excellence, Leicester, England.;Leicester Natl Inst Hlth & Care Res, Biomed Res Ctr, Leicester, England..
Univ Zurich, Ctr Mol Cardiol, Schlieren, Switzerland.;Royal Brompton & Harefield Hosp, Heart Div, London, England.;Imperial Coll London, Natl Heart & Lung Inst, London, England.;Kings Coll London, Sch Cardiovasc & Metab Med Sci, London, England..
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2026 (English)In: The Lancet, ISSN 0140-6736, E-ISSN 1474-547X, Vol. 407, no 10527, p. 515-528Article in journal (Refereed) Published
Abstract [en]
Background
Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform novel personalised treatment strategies, but no standardised tools for this purpose exist. We aimed to develop and validate a clinically applicable risk score for mortality, bleeding, and ischaemic events in patients with cancer and acute coronary syndrome.
Methods
In this model development and validation study, we obtained data for 1 017 759 patients who presented with acute coronary syndrome in England, UK (n=815 170; 36 771 with cancer), Sweden (n=194 059; 10 262 with cancer), and Switzerland (n=8530; 203 with cancer) between Jan 1, 2004, and Aug 8, 2023. Machine learning models were developed to predict all-cause mortality, major bleeding events, and ischaemic events, defined as a composite of cardiovascular death, myocardial infarction, and ischaemic stroke, in patients with cancer and acute coronary syndrome from England in a competing risks framework with a prediction horizon of 6 months. Final models (the ONCO-ACS score) were externally validated in geographically distinct held out datasets from the English Midlands, Sweden, and Switzerland.
Findings
Patients with cancer and with acute coronary syndrome were characterised by high rates of mortality (cumulative incidence 27·8% [95% CI 27·3–28·3]), major bleeding (7·3% [7·0–7·5]), and ischaemic events (16·1% [15·7–16·4]) and had a distinct risk profile. The ONCO-ACS score was informed by a single set of variables: tumour type, time since cancer diagnosis, metastatic disease, age, haemoglobin, heart rate, estimated glomerular filtration rate, BMI, Killip class, cardiac arrest, and major bleed within 6 months. Accounting for traditional and cancer-related risk factors, ONCO-ACS showed a time-dependent area under the receiver operating characteristic curve (tAUC) at 6 months of 0·84 (0·83–0·85) for all-cause mortality, 0·70 (0·68–0·73) for major bleeding, and 0·79 (0·78–0·81) for ischaemic events on internal validation. On external validation, ONCO-ACS achieved similar performance for all-cause mortality (tAUC at 6 months 0·84 [0·82–0·85] for the English Midlands, 0·80 [0·79–0·82] for Sweden, and 0·83 [0·76–0·91] for Switzerland), major bleeding events (0·70 [0·67–0·74] for the English Midlands, 0·67 [0·65–0·70] for Sweden, and 0·74 [0·57–0·91] for Switzerland), and ischaemic events (0·76 [0·74–0·78] for the English Midlands, 0·70 [0·69–0·72] for Sweden, and 0·73 [0·61–0·86] for Switzerland). ONCO-ACS was well calibrated and decision curve analyses suggested favourable clinical utility. Applying ONCO-ACS to current guidelines suggests that most patients with cancer and acute coronary syndrome qualify for invasive management and long dual antiplatelet therapy using clopidogrel.
Interpretation
The ONCO-ACS score provides a validated practical tool for predicting mortality, bleeding, and ischaemic risk in patients with cancer and acute coronary syndrome. Combined assessment of competing outcome risks could facilitate balancing treatment benefits and harms.
Place, publisher, year, edition, pages
Elsevier, 2026
National Category
Cardiology and Cardiovascular Disease Cancer and Oncology
Identifiers
urn:nbn:se:uu:diva-581785 (URN)10.1016/S0140-6736(25)02020-3 (DOI)001683438200001 ()41620233 (PubMedID)2-s2.0-105028934049 (Scopus ID)
2026-03-092026-03-092026-03-09Bibliographically approved