Publications by authors named "Jun Okita"

Article Synopsis
  • This study focuses on the importance of predicting the time to renal replacement therapy (RRT) for patients at a high risk of end-stage kidney disease.
  • Researchers developed and tested machine learning models using data from chronic kidney disease (CKD) patients at Oita University Hospital, comparing the accuracy of these models to traditional methods based on the rate of estimated glomerular filtration rate (eGFR) decline.
  • The machine learning approach demonstrated moderate predictive accuracy (R of 0.60), significantly outperforming the conventional method, which had an extremely low accuracy (R of -17.1), highlighting the potential for machine learning to improve CKD treatment predictions.
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We report two cases of idiopathic multicentric Castleman disease (iMCD) with nephrotic syndrome (NS) treated with tocilizumab. Case 1 was a 58-year-old man diagnosed with iMCD prior to the onset of NS. Renal biopsy revealed membranous nephropathy, which was considered to be secondary membranous nephropathy associated with iMCD.

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Objective: Because of the low incidence of nasopharyngeal carcinoma (NPC) in Japan, few studies have reported on the use of concurrent chemo-radiotherapy (CCRT) for treatment of this disease. The present study investigated the efficacy and toxicity of CCRT with Carboplatin (CBDCA) and UFT for NPC.

Patients And Methods: CCRT with injection of CBDCA and oral administration of UFT was given to 21 patients in our institution during 1996-2000.

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Objective: Undifferentiated carcinoma of the salivary gland is a rare malignant tumor, and is difficult to distinguish from other poorly differentiated types of carcinoma or sarcoma. The present study investigated clinical and pathological characteristics for undifferentiated carcinoma of the parotid gland.

Patients And Methods: Forty-four patients with previously untreated carcinoma of the major salivary glands were treated at our institution between 1986 and 1999.

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