作者: Nazia Rashid , Gerald D. Levy , Yi-Lin Wu , Chengyi Zheng , River Koblick
DOI: 10.1007/S00296-015-3284-3
关键词: Odds ratio 、 Chi-squared distribution 、 Internal medicine 、 Diagnosis code 、 Medicine 、 Rheumatology 、 Retrospective cohort study 、 Hyperuricemia 、 Cohort 、 Gout 、 Physical therapy
摘要: Gout flares have been challenging to identify in retrospective databases due gout not being well documented by diagnosis codes, making it difficult conduct accurate database studies. Previous studies used different algorithms, and this study, we a computer-based method flares. The objectives of study were patients newly initiated on urate-lowering therapy evaluate factors associated with patient experiencing after starting drug treatment. This was cohort identifying (ULT) during the time period January 1, 2007–December 31, 2010. index date first dispensed ULT prescription period. Patients had be ≥18 years age date, no history prior 12 months before required continuous membership benefit pre-/post-index. Electronic chart notes reviewed flares; these reviews helped create validated further categorized into 0 flares, 1–2 ≥3 post-index Multivariable logistic regression examine clinical 12-month follow-up There 8905 identified as final 68 % one or more follow-up: 2797 (31 %) 4836 (54 %) 1272 (14 %) Using multivariate analyses, independently versus similar, however, slight differences, such younger likely ≥65 years Factors male gender, attaining sUA goal, having comorbidities, diuretics use, changes initial dose, adhering all new opportunity compare our findings previous Our echo other where older patients, male, diuretics, greater number non-adherence are year initiating ULT. is an unmet need for educated managed closely, especially year.