Budget Impact Analysis of Treatment Flow Optimization in Epilepsy Patients: Estimating Potential Impacts with Increased Referral Rate to Specialized Care.

We developed a Markov model to simulate a treatment flow of epilepsy patients who refer to specialized care from non-specialized care, and to surgery from specialized care for estimation of patient distributions and expenditures caused by increasing the referral rate for specialized care. This budget impact analysis of treatment flow optimization in epilepsy patients was performed as a long-term simulation using the Markov model by comparing the current treatment flow and the optimized treatment flow. In the model, we simulated the prognosis of new onset 5-year-old epilepsy patients (assuming to represent epilepsy occurring between 0 and 10 years of age) treated over a lifetime period.

[Pulmonary Benign Metastasizing Leiomyoma Resected Six Times during Twenty Years;Report of a Case].

Benign metastasizing leiomyoma (BML) is a rare condition in which a benign uterine leiomyoma causes metastasis, mainly to the lungs. The patient was a 72-year-old woman who had undergone hysterectomy for an uterine leiomyoma at 37 years of age. Between the ages of 52 and 68 years, she had undergone 5 metastatectomies for 10 BMLs.