华南预防医学 ›› 2025, Vol. 51 ›› Issue (9): 957-962.doi: 10.12183/j.scjpm.2025.0957

• 论著 • 上一篇    下一篇

亳州地区60岁以下人群上消化道癌流行病学特征及风险预测模型构建

张莹莹, 陶园, 卢席席   

  1. 蒙城县第二人民医院,安徽 亳州 233500
  • 收稿日期:2025-01-13 出版日期:2025-09-20 发布日期:2025-10-27
  • 作者简介:张莹莹(1990—),女,大学本科,主治医师,研究方向为上消化道癌的早诊早治
  • 基金资助:
    2022年安徽省重点研究与开发计划项目(2022e07020017)

Epidemiological characteristics and risk prediction model construction for upper gastrointestinal cancer in the population under 60 years old in Bozhou Area

ZHANG Yingying, TAO Yuan, LU Xixi   

  1. Mengcheng County Second People's Hospital, Bozhou, Anhui 233500, China
  • Received:2025-01-13 Online:2025-09-20 Published:2025-10-27

摘要: 目的 分析亳州地区60岁以下人群上消化道癌流行病学特征,并据此构建早期发病风险预测模型。方法 本研究收集2022—2024年蒙城县第二人民医院13288名<60岁上消化道癌高危人群资料,按年龄、性别、居住地1∶2匹配,分为病例组(n=598)和对照组(n=1 196)。收集人口学、临床资料及生活方式等资料,采用多因素logistic回归分析危险因素,并据此构建风险预测模型。结果 上消化道癌患病人群在消化系统疾病史、饮酒、生气频率、辛辣饮食习惯、烫食习惯、腌制品食用习惯、剩菜食用习惯、大蒜摄入情况方面与健康人群比较差异均有统计学意义(均P<0.01)。早发病例组(<50岁)在消化系统疾病史、饮酒、生气频率、烫食习惯、腌制品食用习惯、大蒜摄入情况方面与晚发病例组比较差异均有统计学意义(均P<0.01)。经多因素logistic回归分析结果显示,有消化系统疾病史(OR=3.043)、长期饮酒(OR=3.701)、经常生气(OR=3.533)、烫食(OR=3.385)、经常食用腌制品(OR=3.485)、经常食用大蒜(OR=0.255)是亳州地区40~<50岁人群早期上消化道癌的相关因素(均P<0.05)。基于logistic回归构建的列线图风险模型显模型一致性指数(C-index)为0.835,模型区分度好。结论 亳州地区60岁以下上消化道癌患病群体与健康人群相比,在消化系统疾病史、饮酒、经常生气、偏好辛辣饮食、常食烫食、经常摄入腌制品、食用剩菜及大蒜摄入不足方面差异显著。早发患者具有消化系统疾病史、长期饮酒、经常生气、常食烫食、摄入腌制品及大蒜摄入不足的比例显著高于晚发患者,且上述因素均是该地区60岁以下高危人群上消化道癌早期发病的影响因素。基于上述影响因素构建的列线图风险预测模型具有良好的区分度和精确度。

关键词: 中年人, 上消化道癌, 流行病学, 风险预测模型, 列线图

Abstract: Objective To analyze the epidemiological characteristics of upper gastrointestinal cancer in the population under 60 years old in Bozhou area, and construct an early-onset risk prediction model. Methods Data from 13 288 high-risk individuals for upper gastrointestinal cancer, aged less than 60 years, at Mengcheng County Second People's Hospital between 2022 to 2024 were collected. A case-control design was employed, matching by age, sex, and residence at a 1: 2 ratio, which resulted in a case group (n=598) and a control group (n=1196). Data on demographic, clinical, and lifestyle factors were collected. Conditional logistic regression analysis was utilized to identify risk factors, which subsequently informed the construction of a risk prediction model. Results Significant differences were observed between the overall patient population with upper gastrointestinal cancer and the healthy control group with respect to history of digestive system diseases, alcohol consumption, frequency of anger, consumption of spicy foods, preference for scalding-hot food, intake of pickled products, consumption of leftover food, and garlic intake (all χ2<0.01). Within the patient population, the early-onset group (<50 years) showed significant differences compared to the late-onset group in terms of history of digestive system diseases, alcohol consumption, frequency of anger, preference for scalding-hot food, intake of pickled products, and garlic intake (all P<0.01). Multivariate conditional logistic regression analysis revealed that a history of digestive system diseases (OR=3.043), long-term alcohol consumption (OR=3.701), frequent anger (OR=3.533), consumption of scalding-hot food (OR=3.385), frequent intake of pickled products (OR=3.485), and frequent garlic consumption (OR=0.255) were significant factors associated with early-onset upper gastrointestinal cancer in the 40 to <50 age group in the Bozhou region (all P<0.05). A nomogram-based risk prediction model constructed from the logistic regression demonstrated good discrimination, with a Concordance Index (C-index) of 0.835. Conclusions In Bozhou area, individuals under 60 with upper gastrointestinal cancer exhibit significant differences from the healthy population regarding history of digestive system diseases, alcohol consumption, frequent anger, preference for spicy diets, consumption of scalding-hot food, intake of pickled products, consumption of leftover food, and insufficient garlic intake. A significantly higher proportion of early-onset patients, compared to late-onset patients, reported a history of digestive system diseases, long-term alcohol consumption, frequent anger, consumption of scalding-hot food, frequent intake of pickled products, and insufficient garlic intake. These factors were identified as determinants for the early onset of upper gastrointestinal cancer in the high-risk population under 60 in this region. The nomogram risk prediction model, developed based on these factors, demonstrates excellent discrimination and accuracy.

Key words: Middle-aged, Upper gastrointestinal cancer, Epidemiology, Risk prediction model, Nomogram

中图分类号: 

  • R181.3