- 著者
- Akemi Kurisu Aya Sugiyama Tomoyuki Akita Ichiro Takumi Hitoshi Yamamoto Koji Iida Junko Tanaka
- 出版者
- Japan Epidemiological Association
- 雑誌
- Journal of Epidemiology (ISSN:09175040)
- 巻号頁・発行日
- pp.JE20220316, (Released:2023-02-25)
- 参考文献数
- 17
- 被引用文献数
- 2
Introduction: The burden of epilepsy is thought to be high but is difficult to measure. Very few studies in Japan have attempted to estimate prevalence and incidence rates of epilepsy in Japan.Methods: This retrospective cohort study used commercially collected nationwide insurance claims data from a cohort of 10M persons between 2012 and 2019 among those aged 0 to 74 years. Using the claims data, cases were identified, and incidence and prevalence rates were estimated.Results: A total of 9,864,278 persons were included. The average age was 34.5 (± SD 18.5) years. A total of 77,312 persons were diagnosed with epilepsy over the 8-year observation period with a prevalence rate of 6.0 per 1,000 with almost no difference by gender. The highest rates were seen among those aged 70-74 years; prevalence rates tended to rise with calendar year (5.4/1,000 in 2012, 6.0/1,000 in 2019). The incidence rate of epilepsy was 72.1 per 100,000 person-years with slightly higher rates seen among females. Incidence rates were highest at ages less than 12 months (199.8/100,000 person-years), followed by the eldest age group (70-74 years, 179.4/100,000 person-years)Conclusions: Understanding the magnitude of disease burden is the basis of determining health policies. In this study, the prevalence and incidence of epilepsy in Japan was shown based on the analysis results of a large-scale general population insurance claims data covering all over Japan.
- 著者
- Kanon Abe Aya Sugiyama Noriaki Ito Kei Miwata Yoshihiro Kitahara Mafumi Okimoto Ulugbek Mirzaev Akemi Kurisu Tomoyuki Akita Ko Ko Kazuaki Takahashi Tatsuhiko Kubo Toshiro Takafuta Junko Tanaka
- 出版者
- Japan Epidemiological Association
- 雑誌
- Journal of Epidemiology (ISSN:09175040)
- 巻号頁・発行日
- pp.JE20230103, (Released:2023-08-12)
- 参考文献数
- 44
- 被引用文献数
- 1
BackgroundSymptoms after COVID-19 recovery by SARS-CoV-2 strains are unspecified.MethodsThis self-administered questionnaire-based study was conducted to investigate symptoms after COVID-19 recovery at one of the main hospitals for COVID-19 treatment in Hiroshima, Japan, from September 2020 to March 2022 for patients who visited follow-up consultations after COVID-19. Study subjects were divided into four groups (Wild-type, Alpha, Delta, and Omicron periods) according to COVID-19 onset date. Hierarchical cluster analysis was performed to determine symptom clusters and investigate risk factors for each symptom cluster using multivariate analysis.ResultsAmong 385 patients who enrolled in this study, 249 patients had any persistent symptoms at a median of 23.5 [IQR, 20-31] days after COVID-19 onset. Among patients with any persistent symptoms, symptom clusters including olfactory or taste disorders, respiratory symptoms, and cardiac symptoms were found. Respiratory symptoms were more frequent among patients infected in the Omicron period compared to the Wild-type period (AOR, 3.13; 95% CI, 1.31-7.48; p=0.0101). Compared to patients who recovered from mild COVID-19, patients who needed for oxygen or ventilation support suffered fewer post-COVID-19 respiratory symptoms (AOR, 0.46; 95% CI, 0.22-0.97; p=0.0415) but more post-COID-19 cardiac symptoms among them (AOR, 2.67; 95% CI, 1.26-5.65; p=0.0103). Olfactory or taste disorders were fewer among patients infected in the Omicron period compared to the Wild-type period (AOR, 0.14; 95% CI, 0.04-0.46; p=0.0011).ConclusionThis study revealed that symptoms after COVID-19 may vary depending on the infected strain.