Duerksen Donald R, Lix Lisa M, Leslie William D
Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Department of Medicine, Division of Gastroenterology, St. Boniface Hospital, C5120 409 Tache Ave, Winnipeg, MB, R2H 2A6, Canada.
BMC Res Notes. 2019 Oct 17;12(1):661. doi: 10.1186/s13104-019-4693-2.
The investigation and management of celiac disease places a high burden on the health care system. Accurate methods to ascertain cases of celiac disease (CD) in population-based administrative data can facilitate epidemiologic and health services research to guide disease management. The study aim was to develop and validate administrative data case definitions for CD to facilitate further studies about the effect of CD on osteoporosis and fracture risk.
Population-based data from the Manitoba Bone Mineral Density (BMD) Program registry, which contains medical information on all individuals in the province of Manitoba, Canada who have received BMD testing, was used to define the study cohort. Linked hospital discharge abstracts and physician billing claims were used to ascertain diagnoses of celiac disease in administrative data. A population-based CD serologic registry was used as the validation database. One diagnosis code in hospital discharge abstracts or two or more diagnosis codes in physician billing claims optimized the detection of positive celiac serology with sensitivity of 84% (95% CI 80-88%), specificity of 97% (95% CI 80-88%), PPV of 80% (95% CI 80-88%), and NPV of 97% (95% CI 80-88%). Our administrative data case definition for celiac disease demonstrates good sensitivity and specificity for detecting positive celiac serology.
乳糜泻的调查与管理给医疗保健系统带来了沉重负担。在基于人群的行政数据中确定乳糜泻(CD)病例的准确方法有助于开展流行病学和卫生服务研究,以指导疾病管理。本研究的目的是制定并验证CD的行政数据病例定义,以便进一步研究CD对骨质疏松症和骨折风险的影响。
来自曼尼托巴骨密度(BMD)项目登记处的基于人群的数据被用于定义研究队列,该登记处包含了加拿大曼尼托巴省所有接受过BMD检测的个人的医疗信息。关联的医院出院摘要和医生计费索赔被用于在行政数据中确定乳糜泻的诊断。一个基于人群的CD血清学登记处被用作验证数据库。医院出院摘要中的一个诊断代码或医生计费索赔中的两个或更多诊断代码优化了乳糜泻血清学阳性的检测,灵敏度为84%(95%CI 80 - 88%),特异性为97%(95%CI 80 - 88%),阳性预测值为80%(95%CI 80 - 88%),阴性预测值为97%(95%CI 80 - 88%)。我们的乳糜泻行政数据病例定义在检测乳糜泻血清学阳性方面显示出良好的灵敏度和特异性。