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Predictors of new cancer diagnosis following a NSTEMI event: insights from a national cancer registry

Title: Predictors of new cancer diagnosis following a NSTEMI event: insights from a national cancer registry
Authors: Yarkoni, Y; Caller, T; Sassonker, N; Copeland, V; Hasin, T; Regev, E; Fefer, P; Barbash, I M; Segev, A; Dagan, A; Maor, E
Source: European Heart Journal ; volume 46, issue Supplement_1 ; ISSN 0195-668X 1522-9645
Publisher Information: Oxford University Press (OUP)
Publication Year: 2025
Description: Introduction Cardiovascular disease is associated with an elevated risk of cancer, yet evidence regarding the relationship between ischaemic heart disease (IHD) and cancer incidence remains limited and inconsistent. Purpose This study aimed to identify predictors of new cancer diagnosis among patients recovering from non-ST segment elevation myocardial infarction (NSTEMI). Methods A historical prospective cohort study was conducted, including patients aged 18 years or older who were hospitalised with NSTEMI at a tertiary medical centre in Israel between 2008 and 2022. Demographic, clinical, and procedural data were extracted from institutional records, while cancer incidence was determined using the Israeli National Cancer Registry. Frailty was based on Norton score with non-frail defined as having a Norton score ≥ 18. Older age was defined as Age > 60. Anaemia was defined as a haemoglobin < 13.5 g/dL for males and < 12 g/dL for females. Univariate and multivariate analyses were performed using Cox proportional hazards models and competing risk analysis via the Fine and Gray model. Additionally, a time-dependent Cox model was used to assess the mortality risk associated with cancer development. Results The final cohort consisted of 7,992 patients (median age 71 years [Q1–Q3: 61–83], 68% male) with a median follow-up of 3.1 years (Q1–Q3: 1.1–5.7). During follow-up, cancer was diagnosed in 457 patients (5.7%), with a median time from the NSTEMI event to cancer diagnosis of 2.3 years (Q1-Q3: 0.95-4.5). The most prevalent cancers were lung (15%), haematological (14%), and prostate (11%). Kaplan-Meier survival analysis demonstrated that the cumulative probability of cancer at 3 years was 4.7% (95% CI: 4.2%-5.3%). Univariate Cox model identified older age, glomerular filtration rate ≥ 45mL/min, non-frail status, anaemia, and hypertension as predictors of new cancer diagnosis during follow-up (p < 0.05 for all). Multivariate Fine and Gray model demonstrated that older age and ...
Document Type: article in journal/newspaper
Language: English
DOI: 10.1093/eurheartj/ehaf784.1926
Availability: https://doi.org/10.1093/eurheartj/ehaf784.1926; https://academic.oup.com/eurheartj/article-pdf/46/Supplement_1/ehaf784.1926/65185496/ehaf784.1926.pdf
Rights: https://academic.oup.com/pages/standard-publication-reuse-rights
Accession Number: edsbas.E7B3D2E3
Database: BASE