Risk of Spine Surgery in Patients with Rheumatoid Arthritis: A Secondary Cohort Analysis of a Nationwide, Population-Based Health Claim Database.
Chien-Han ChenChia-Wen HsuMing-Chi LuPublished in: Medicina (Kaunas, Lithuania) (2022)
Background and Objectives : To study the risk of spine surgery, including cervical and lumbar spine surgeries in patients with rheumatoid arthritis (RA) compared with those without a diagnosis of RA. Materials and Methods : This is a secondary data analysis using population-based health claim data. We identified newly diagnosed adult patients with RA between January 2000 and December 2012, according to the International Classification of Diseases, Ninth revision, clinical modification code 714.0 from Taiwan's National Health Insurance Research Database. Using data frequency-matched by 10-year age intervals, sex and index year with the RA cohort at a ratio of 5:1, we assembled a comparison cohort. All patients were followed until the study outcomes occurred (overall spine surgery, cervical spine surgery, or lumbar spine surgery) or the end of follow-up. Adjusted incidence rate ratios (aIRR) were calculated using Poisson regression analysis with age group, socioeconomic status, geographical region, and osteoporosis included as potential confounders. Results : We identified 1287 patients with RA and 6435 patients without RA. The incidence of overall spine surgery (aIRR = 2.13, 95% confidence interval (CI) = 1.49-3.04) and lumbar spine surgery (aIRR = 2.14, 95% CI = 1.46-3.15) were all significantly higher in the RA cohort. Moreover, females over 45 years of age were particularly at risk for lumbar spine surgery. In RA patients, older age and the combination with the diagnosis of osteoporosis had an elevated risk for overall and lumbar spine surgery. Conclusion: Patients with RA had an increased risk of receiving spine surgery. Physicians should be vigilant for possible spinal problems in women and older patients with RA.
Keyphrases
- newly diagnosed
- rheumatoid arthritis
- disease activity
- end stage renal disease
- health insurance
- ejection fraction
- ankylosing spondylitis
- public health
- healthcare
- mental health
- peritoneal dialysis
- physical activity
- electronic health record
- systemic lupus erythematosus
- machine learning
- primary care
- pregnant women
- big data
- postmenopausal women
- emergency department
- body composition
- patient reported outcomes
- social media
- climate change
- insulin resistance
- data analysis
- spinal cord
- systemic sclerosis
- artificial intelligence
- middle aged
- health promotion
- total hip arthroplasty