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. Materials and Methods: 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. Results: 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. Conclusions: Association rule mining was useful, because it showed the complexity of diabetic patients. Clinical management of those patients cannot neglect comorbidities. © 2013 Asian Association for the Study of Diabetes and Wiley Publishing Asia Pty Ltd.
CITATION STYLE
Valent, F., Tillati, S., & Zanier, L. (2013). Prevalence and comorbidities of known diabetes in northeastern Italy. Journal of Diabetes Investigation, 4(4), 355–360. https://doi.org/10.1111/jdi.12043
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