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A grading system that predicts the risk of dialysis induction in IgA nephropathy patients based on the combination of the clinical and histological severity.
Okonogi, Hideo; Kawamura, Tetsuya; Joh, Kensuke; Koike, Kentaro; Miyazaki, Yoichi; Ogura, Makoto; Tsuboi, Nobuo; Hirano, Keita; Matsushima, Masato; Yokoo, Takashi; Horikoshi, Satoshi; Suzuki, Yusuke; Yasuda, Takashi; Shirai, Sayuri; Shibata, Takanori; Hattori, Motoshi; Akioka, Yuko; Katafuchi, Ritsuko; Hashiguchi, Akinori; Hisano, Satoshi; Shimizu, Akira; Kimura, Kenjiro; Maruyama, Shoichi; Matsuo, Seiichi; Tomino, Yasuhiko.
Affiliation
  • Okonogi H; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Kawamura T; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan. kawatetu@coral.ocn.ne.jp.
  • Joh K; Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.
  • Koike K; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Miyazaki Y; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Ogura M; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Tsuboi N; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Hirano K; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Matsushima M; Division of Clinical Epidemiology, General Research Center of Medicine, Jikei University School of Medicine, Tokyo, Japan.
  • Yokoo T; Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Horikoshi S; Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.
  • Suzuki Y; Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.
  • Yasuda T; Department of Internal Medicine, Kichijoji Asahi Hospital, Tokyo, Japan.
  • Shirai S; Division of Kidney and Hypertension, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
  • Shibata T; Division of Nephrology, Department of Internal Medicine, Showa University School of Medicine, Tokyo, Japan.
  • Hattori M; Department of Pediatric Nephrology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
  • Akioka Y; Department of Pediatric Nephrology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
  • Katafuchi R; Kidney Unit, National Fukuoka-Higashi Medical Center, Fukuoka, Japan.
  • Hashiguchi A; Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
  • Hisano S; Department of Pathology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
  • Shimizu A; Department of Analytic Human Pathology, Nippon Medical School, Tokyo, Japan.
  • Kimura K; Division of Kidney and Hypertension, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
  • Maruyama S; Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, University of Nagoya, Nagoya, Japan.
  • Matsuo S; Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, University of Nagoya, Nagoya, Japan.
  • Tomino Y; Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Clin Exp Nephrol ; 23(1): 16-25, 2019 Jan.
Article in En | MEDLINE | ID: mdl-30367317
ABSTRACT
Histological classification is essential in the clinical management of immunoglobulin A nephropathy (IgAN). However, there are limitations in predicting the prognosis of IgAN based on histological information alone, which suggests the need for better prognostic models. Therefore, we defined a prognostic model by combining the grade of clinical severity with the histological grading system by the following processes. We included 270 patients and explored the clinical variables associated with progression to end-stage renal disease (ESRD). Then, we created a predictive clinical grading system and defined the risk grades for dialysis induction by a combination of the clinical grade (CG) and the histological grade (HG). A logistic regression analysis revealed that the 24-h urinary protein excretion (UPE) and the estimated glomerular filtration rate (eGFR) were significant independent variables. We selected UPE of 0.5 g/day and eGFR of 60 ml/min/1.73 m2 as the threshold values for the classification of CG. The risk of progression to ESRD of patients with CG II and III was significantly higher than that of patients with CG I. The patients were then re-classified into nine compartments based on the combination of CG and HG. Furthermore, the nine compartments were grouped into four risk groups. The risk of ESRD in the moderate, high, and super-high-risk groups was significantly higher than that in the low-risk group. Herein, we are giving a detailed description of our grading system for IgA nephropathy that predicted the risk of dialysis based on the combination of CG and HG.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Dialysis / Glomerulonephritis, IGA Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clin Exp Nephrol Journal subject: NEFROLOGIA Year: 2019 Document type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Dialysis / Glomerulonephritis, IGA Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clin Exp Nephrol Journal subject: NEFROLOGIA Year: 2019 Document type: Article Affiliation country: Japan