谷歌浏览器插件
订阅小程序
在清言上使用

Risk of Malignancy Long After Acute Coronary Syndrome in Selected Urban and Rural Areas and Comparison With Smoking Risk: The ABC-7* Study on Heart Disease. (*ABC is An Acronym for Adria, Bassano, Conegliano, and Padova Hospitals)

crossref(2020)

引用 0|浏览6
暂无评分
摘要
Abstract Background Increased cancer risk has been reported in patients with acute coronary syndrome (ACS). Objectives To investigate geographic differences in risk malignancy long after ACS. Methods We enrolled 586 ACS patients admitted to hospitals in three provinces in the Veneto region of Italy in this prospective study. Patient's residency was classified into three urban and three nearby rural areas. Results All (except for 3) patients completed the follow-up (22 years or death) and 54% were living in rural areas. Sixteen patients had pre-existing malignancy, and 106 developed the disease during follow-up. Cancer prevalence was 17% and 24% (p=0.05) and incidence of malignancy was 16 and 21/1000 person-years for urban and rural areas, respectively. In unadjusted logistic regression analysis, cancer risk increased from urban to rural areas (odds ratio [OR] 3.4;95% confidence interval [CI] 1.7-7.1; p=0.001), with little change from north to south provinces (OR 1.5;95% CI 1.0-2.2; p=0.06). Yet, we found a strong positive interaction between urban-rural areas and provinces (OR 2.1;95% CI 1.2-3.5; p=0.003). These results kept true in the fully adjusted model. Unadjusted Cox regression analysis revealed increasing hazards ratios (HRs) for malignancy onset from urban to rural areas (HR 3.0;95% CI 1.5-6.2; p=0.02), but not among provinces (HR 1.3;95% CI 1.0-2.0; p=0.14). Also, we found a strong positive interaction between geographic areas (HR 2.1;95% CI 1.3-3.5; p=0.002), even with a fully adjusted model. Conclusion The results in unselected real-world patients demonstrate a significant geographic difference in malignancy risk in ACS patients, with the highest risk in the north-rural area.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要