Evaluation of renal plasma flow and glomerular filtration rate in the patients with sepsis
| Project/Area Number |
15K09281
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Kidney internal medicine
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| Research Institution | Fujita Health University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
湯澤 由紀夫 藤田保健衛生大学, 医学部, 教授 (00191479)
外山 宏 藤田保健衛生大学, 医学部, 教授 (90247643)
市原 隆 藤田保健衛生大学, 保健学研究科, 教授 (90527748)
小出 滋久 藤田保健衛生大学, 医学部, 講師 (40760913)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 糸球体濾過量 / 腎血漿流量 / ダイナミックCT / 敗血症 |
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| Outline of Final Research Achievements |
We established a method for the measurement of effective renal plasma flow (CT - ERPF) and glomerular filtration rate (CT - GFR) by dynamic CT imaging. In 16 renal transplant donors, CT-GFR and inulin clearance were highly correlated with r = 0.76 and p = 0.00063. CT-ERPF and CT-GFR were measured separately in the renal cortical surface layer and in the deep layer. In 13 renal transplant donors, CT-ERPF was 2.61±0.87ｍL/min/cm2 in the deep layer and 2.61±0.88ｍL/min/cm2 in the surface layer. CT-GFR was 0.63±0.15ｍL/min/cm2 in the deep layer and 0.66±0.14 in the surface layer. In the sepsis patient, CT-ERPF was 0.615 mL/min/cm2 in the deep layer and 0.650 mL/min/cm2 in the surface layer. CT-GFR was 0.452 mL/ min/cm2 in the deep layer and 0.461 mL/min/cm2 in the surface layer. In this study,CT - GFR / CT - ERPF was higher in the septic patient than in the kidney transplant donors. We aim for practical application of this method.
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Report
(4 results)
Research Products
(8 results)
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[Journal Article] Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease.2016
Author(s)
Hasegawa M, Ishii J, Kitagawa F, Takahashi H, Sugiyama K, Tada M, Kanayama K, Takahashi K, Hayashi H, Koide S, Nakai S, Ozaki Y, Yuzawa Y.
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Journal Title
Biomed Res Int.
Volume: Volume2016
Pages: 8761475-8761475
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Presentation] 造影CTを用いた腎機能評価GFRCTは移植後の腎機能予後を推定できる2017
Author(s)
8.栗原啓, 剣持敬, 伊藤泰平, 會田直弘,市原隆, 外山宏, 岩崎仁, 長谷川みどり, 河合昭浩, 日下守, 星長清隆
Organizer
第44回日本臓器保存生物医学会学術集会
Related Report
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