Epidemiological Service Regional Health Directorate Friuli Venezia Giulia Region Udine Italy.
J Diabetes Investig. 2013 Jul 8;4(4):355-60. doi: 10.1111/jdi.12043. Epub 2013 Feb 21.
AIMS/INTRODUCTION: We aimed at estimating the prevalence and at identifying the frequent comorbidities of diabetes mellitus in a region of northeastern Italy from administrative health data.
The prevalence was estimated according to two disease definitions, based on administrative health data. Association rule mining was used to detect comorbid diagnoses that coexisted with a diagnosis of diabetes among patients admitted to the regional hospitals.
The prevalence of known diabetes in 2010 was 6.0-8.1%, with great variations by age class (from approximately 2% <60 years to more than 20% in some elderly age groups). Of 155,494 patients admitted to the hospital in 2011, 9,358 had a diagnosis of diabetes. A total of 12 rules satisfied our criteria for support (>0.5%) and confidence (>5%), and identified nine frequent isolated comorbidities and three pairs of comorbid diagnoses. The rule with the highest support (2.4%) and confidence (39.5%) identified the combination of diabetes and essential hypertension.
Association rule mining was useful, because it showed the complexity of diabetic patients. Clinical management of those patients cannot neglect comorbidities.
目的/引言:我们旨在从意大利东北部的行政健康数据中估算糖尿病的患病率,并确定其常见的合并症。
根据基于行政健康数据的两种疾病定义来估算患病率。使用关联规则挖掘来检测在区域医院住院的患者中与糖尿病诊断同时存在的合并诊断。
2010 年已知糖尿病的患病率为 6.0-8.1%,且按年龄组有很大差异(从 60 岁以下的约 2%到某些老年组的 20%以上)。2011 年,共有 155494 名患者住院,其中 9358 人被诊断为糖尿病。共有 12 条规则符合我们的支持度(>0.5%)和置信度(>5%)标准,确定了 9 种常见的孤立合并症和 3 对合并诊断。支持度最高(2.4%)和置信度最高(39.5%)的规则确定了糖尿病和原发性高血压的组合。
关联规则挖掘是有用的,因为它显示了糖尿病患者的复杂性。对这些患者的临床管理不能忽视合并症。