ID | 112237 |
Title Alternative | Anthropometrics estimates renal function
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Author |
Otani, Tomoko
Tokushima University|Naruto Yamakami Hospital
Kase, Yasuko
Naruto Yamakami Hospital
Kunitomo, Kazufumi
Naruto Yamakami Hospital
Shimooka, Kazumi
Naoe, Mitsugu
Naruto Yamakami Hospital
Yamamoto, Hiroko
Naruto Yamakami Hospital
Sato, Youichi
Tokushima University
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Yamauchi, Aiko
Tokushima University
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Keywords | creatinine clearance
estimation of renal function
bedridden elderly patients
triceps skinfold thickness
“Naruto” formula
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Content Type |
Journal Article
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Description | In recumbent elderly patients, creatinine clearance (eCCr) estimated by the Cockcroft-Gault (CG) equation may not necessarily reflect renal function. We aimed to develop a novel formula to revise the CG equation using anthropometric measurements in bedridden elderly patients and evaluate its clinical utility. The subjects included 77 bedridden Japanese patients aged ≥ 65, hospitalized at Naruto Yamakami Hospital. The actual CCr (mCCr) value was measured using the 24-hour urine collection method. Anthropometric data, such as skeletal muscle mass, body fat mass (BFM), and triceps skinfold thickness (TSF), were collected. We established a novel formula to estimate CCr(BFM) or CCr(TSF) by correcting the eCCr(Enz + 0.2) value with BFM or TSF. The stage of classification of renal dysfunctions in patients with eGFR(BFM) or eGFR(TSF) was equivalent to the GFR(control) based on the mCCr. Notably, the novel equation for eCCr based on TSF (eCCr(TSF)), dubbed the “Naruto” formula, can be useful to evaluate renal function in bedridden elderly patients without expensive equipment or additional costs. In this study, mCCr was considered to be the true renal function of the patient, but whether and to what extent mCCr correlates with inulin clearance is unknown.
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Journal Title |
The Journal of Medical Investigation
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ISSN | 13496867
13431420
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NCID | AA12022913
AA11166929
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Publisher | Faculty of Medicine Tokushima University
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Volume | 65
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Issue | 3-4
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Start Page | 195
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End Page | 202
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Sort Key | 195
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Published Date | 2018-08
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
Publisher
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departments |
Pharmaceutical Sciences
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