Trends in hip preservation surgery in Japan from 2014 to 2019 with a focus on hip arthroscopic surgery.
Kensuke FukushimaYuka OgataYoshihisa OhashiTomohisa KoyamaKatsufumi UchiyamaNaonobu TakahiraMasashi TakasoPublished in: Journal of hip preservation surgery (2023)
Secondary hip osteoarthritis due to hip dysplasia is common among Japanese populations. This study aimed to investigate the number of hip preservation surgeries performed in Japan and assess trends, by age and sex, from 2014 to 2019, focusing on hip arthroscopic surgery, based on the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). We downloaded the files 'Number of calculations by division, sex, and age group' under 'operation (code K)' from 2014 to 2019 from the NDB Open Data Japan database. Data on hip preservation surgeries were extracted, including the number for each surgical procedure and its incidence per year, calculated as the number of surgeries performed for each 10-year age group and by sex, regarding hip arthroscopic surgery. Overall, 14 891 hip preservation surgeries were performed in Japan over the study period, with pelvic osteotomy being the most common procedure. Although the incidence of hip preservation surgeries decreased from 2014 to 2019, there was a specific 1.54-fold higher incidence in hip arthroscopic procedures in 2019 compared to 2014. Hip arthroscopic labral repair was performed more frequently than synovectomy. The highest incidence of hip arthroscopic surgery was in the 40- to 49-years age group, with no difference in incidence between sexes ( P = 0.951). In Japan, pelvic osteotomy was performed more often as a hip preservation surgery than hip arthroscopic surgery. Although hip arthroscopic surgery was developed in Japan, its use has not increased from 2017 to 2019.
Keyphrases
- minimally invasive
- total hip arthroplasty
- coronary artery bypass
- health insurance
- risk factors
- surgical site infection
- rotator cuff
- emergency department
- public health
- risk assessment
- mental health
- rheumatoid arthritis
- machine learning
- rectal cancer
- artificial intelligence
- molecular dynamics
- big data
- coronary artery disease
- density functional theory
- drug induced
- data analysis