Rassy Elie, Delaloge Suzette, Slaouti Yannis, Pudlarz Thomas, Lekens Béranger, Boilève Alice, Michiels Stefan, Karimi Mariam
Department of Cancer Medicine, Gustave Roussy, University Paris-Saclay, Villejuif, France.
Department of Biostatistics and Epidemiology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
Br J Cancer. 2025 Aug 30. doi: 10.1038/s41416-025-03172-5.
Pancreatic ductal adenocarcinoma (PDAC) presents an urgent challenge that necessitates improved early risk identification. We investigated the association between predictors of PDAC present at least two years before diagnosis and PDAC occurence.
This case-control study used electronic health records from The Health Improvement Network Database (UK). Cases (10,575) were matched with controls (105,750) in a 1:10 ratio by gender, age, follow-up duration, and year of inclusion in the database. Variables included clinical features, comorbidities and blood result abnormalities, reported at least 2 years before PDAC diagnosis or equivalent timeframe for controls. Conditional logistic regression model with backward estimated odds ratios (OR) and 95% confidence interval (CI).
Electronic health records of cases reported higher prevalence of alcohol intake, cigarette smoking, dyslipidemia, increased blood pressure, and diabetes of more than four years' duration. Independent risk factors included pancreatic cysts (OR = 4.39), pancreatitis (OR = 2.16), dyslipidemia (OR = 1.50), smoking (OR = 1.09), and alcohol intake (OR = 1.09). Laboratory markers associated with higher risk included elevated alkaline phosphatase (OR = 3.21), bilirubin (OR = 2.48), alanine aminotransferase (OR = 1.76), erythrocyte sedimentation rate (OR = 1.27), and decreased albumin (OR = 1.54).
Primary care electronic records can identify individuals at medium-term increased risk of PDAC, thus raises the opportunity to develop early detection models and address modifiable factors.
胰腺导管腺癌(PDAC)是一项紧迫的挑战,需要改进早期风险识别。我们调查了在诊断前至少两年出现的PDAC预测因素与PDAC发生之间的关联。
本病例对照研究使用了来自健康改善网络数据库(英国)的电子健康记录。病例(10575例)与对照(105750例)按性别、年龄、随访时间和纳入数据库的年份以1:10的比例进行匹配。变量包括在PDAC诊断前至少两年或对照的等效时间范围内报告的临床特征、合并症和血液检查结果异常。采用条件逻辑回归模型,向后估计比值比(OR)和95%置信区间(CI)。
病例的电子健康记录显示,饮酒、吸烟、血脂异常、血压升高和病程超过四年的糖尿病患病率较高。独立危险因素包括胰腺囊肿(OR = 4.39)、胰腺炎(OR = 2.16)、血脂异常(OR = 1.50)、吸烟(OR = 1.09)和饮酒(OR = 1.09)。与较高风险相关的实验室指标包括碱性磷酸酶升高(OR = 3.21)、胆红素升高(OR = 2.48)、丙氨酸转氨酶升高(OR = 1.76)、红细胞沉降率升高(OR = 1.27)和白蛋白降低(OR = 1.54)。
基层医疗电子记录可以识别出PDAC中期风险增加的个体,从而增加了开发早期检测模型和处理可改变因素的机会。