Zhang Beibei, Zhang Lei, Ren Yili, Xu Chenkai
Department of Oncology, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Department of Hepatology I, Affiliated Hospital of Shaoxing University Department of Infectious Diseases, Shaoxing, Zhejiang, China.
Front Oncol. 2025 May 29;15:1598921. doi: 10.3389/fonc.2025.1598921. eCollection 2025.
Patients with malignancies and type 2 diabetes mellitus (T2DM) face heightened risks of cardiotoxicity from antitumor therapies, yet the interplay between diabetes, antitumor drugs, and atrial arrhythmias remains underexplored. This study investigates the incidence and risk factors of atrial arrhythmias in this high-risk population.
In this retrospective cohort study, 171 patients with T2DM and malignancies receiving antitumor therapy at Zhejiang Hospital (January 2022-January 2024) were analyzed. Serial 12-lead electrocardiograms (ECGs) were performed pre- and post-chemotherapy cycles to detect new-onset atrial arrhythmias. Multivariate Cox regression identified risk factors, adjusting for age, hypertension, renal function, and cardiac biomarkers (troponin I, NT-proBNP). Subgroup analyses stratified by tumor type, diabetes duration, and drug class were conducted.
Atrial arrhythmias occurred in 10.5% of patients (18/171), with a significantly higher incidence in diabetics versus non-diabetics (18.4% vs. 4.2%, P=0.004). Advanced age (HR=10.25, 95% CI 1.01-104.56; P=0.049) and anthracycline use (HR=2.70, 95% CI 1.02-7.19; P=0.045) independently predicted arrhythmia risk. Diabetes duration ≥5 years (HR=2.85, 95% CI 1.22-6.70; P=0.016) and reduced eGFR (<60 mL/min/1.73m²; HR=2.58, 95% CI 1.04-6.39; P=0.039) further elevated risk. A synergistic interaction was observed between diabetes and anthracyclines (HR=3.95, 95% CI 1.58-9.85; P=0.002). Dynamic rises in NT-proBNP (≥50%) and troponin I (≥5 ng/L) emerged as strong predictors (HR=2.11 and 2.73, respectively; P<0.05).
T2DM significantly amplifies atrial arrhythmia risk in cancer patients receiving antitumor drugs, particularly anthracyclines. Age, ischemic heart disease, and biomarker trends are critical risk indicators. Proactive ECG and biomarker monitoring, coupled with cardio-oncology collaboration, are essential for mitigating arrhythmia-related morbidity.
恶性肿瘤患者和2型糖尿病(T2DM)患者面临抗肿瘤治疗导致心脏毒性的风险增加,但糖尿病、抗肿瘤药物和房性心律失常之间的相互作用仍未得到充分研究。本研究调查了这一高危人群房性心律失常的发生率和危险因素。
在这项回顾性队列研究中,分析了171例在浙江医院(2022年1月至2024年1月)接受抗肿瘤治疗的T2DM合并恶性肿瘤患者。在化疗周期前后进行系列12导联心电图(ECG)检查,以检测新发房性心律失常。多变量Cox回归确定危险因素,并对年龄、高血压、肾功能和心脏生物标志物(肌钙蛋白I、NT-proBNP)进行校正。按肿瘤类型、糖尿病病程和药物类别进行亚组分析。
10.5%的患者(18/171)发生房性心律失常,糖尿病患者的发生率显著高于非糖尿病患者(18.4%对4.2%,P=0.004)。高龄(HR=10.25,95%CI 1.01-104.56;P=0.049)和使用蒽环类药物(HR=2.70,95%CI 1.02-7.19;P=0.045)独立预测心律失常风险。糖尿病病程≥5年(HR=2.85,95%CI 1.22-6.70;P=0.016)和估算肾小球滤过率降低(<60 mL/min/1.73m²;HR=2.58,95%CI 1.04-6.39;P=0.039)进一步增加风险。观察到糖尿病与蒽环类药物之间存在协同相互作用(HR=3.95,95%CI 1.58-9.85;P=0.002)。NT-proBNP(≥50%)和肌钙蛋白I(≥5 ng/L)的动态升高是强有力的预测指标(HR分别为2.11和2.73;P<0.05)。
T2DM显著增加了接受抗肿瘤药物治疗的癌症患者房性心律失常的风险,尤其是蒽环类药物。年龄、缺血性心脏病和生物标志物趋势是关键的风险指标。积极的心电图和生物标志物监测,以及心脏肿瘤学协作,对于降低心律失常相关的发病率至关重要。