Coefficient of Determination between Estimated and Measured Renal Function in Japanese Patients with Sarcopenia May Be Improved by Adjusting for Muscle Mass and Sex: A Prospective Study Article Swipe
Sakura Nakatani
,
Keisuke Maeda
,
Junji Akagi
,
Misato Ichigi
,
Marina Murakami
,
Yoshihiko Harada
,
Sara Utsumi
,
Masaki Fukunaga
,
Yuki Narita
,
Yuki Kondo
,
Yoichi Ishitsuka
,
Tetsumi Irie
,
Daisuke Kadowaki
,
Sumío Hirata
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1248/bpb.b19-00154
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1248/bpb.b19-00154
Creatinine (Cr) levels are strongly affected by muscle mass, and the estimated glomerular filtration rate (eGFR), a measure based on serum creatinine (SCr), is often overestimated in patients with sarcopenia. To evaluate the coefficient of determination (R2) between eGFR and the actual measured value, we performed a linear regression analysis of a modified GFR (mGFR: measured Cr clearance × 0.715) and various renal function estimates adjusted for muscle mass in 19 patients with sarcopenia. The eGFR values based on SCr (eGFRcr) were higher than those based on mGFR, although a high R2 (0.704; p < 0.001) was found between these values. There was no deviation between eGFR based on serum cystatin C (eGFRcys) and mGFR, although the R2 value 0.691 was equivalent to that of eGFRcr. In the equation used to calculate eGFRcr not adjusted for body surface area (mL/min), muscle mass parameters obtained from bioelectrical impedance analysis were used instead of actual body weight to recalculate the eGFRcr. The R2 between this eGFRcr and mGFR did not improve, although there was less deviation. However, assuming that all patients were female by using female coefficients for all patients, the R2 between eGFRcr-fcc (eGFRcr with female coefficient correction) and mGFR improved and was the highest (0.808) on substitution of appendicular skeletal muscle mass. The correlation between eGFRcr-fcc and mGFR improved over eGFRcys when muscle mass was substituted for body weight in the equation used to estimate eGFR in patients with sarcopenia and sex differences were removed.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1248/bpb.b19-00154
- https://www.jstage.jst.go.jp/article/bpb/42/8/42_b19-00154/_pdf
- OA Status
- diamond
- Cited By
- 12
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2948686329
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2948686329Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1248/bpb.b19-00154Digital Object Identifier
- Title
-
Coefficient of Determination between Estimated and Measured Renal Function in Japanese Patients with Sarcopenia May Be Improved by Adjusting for Muscle Mass and Sex: A Prospective StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-06-03Full publication date if available
- Authors
-
Sakura Nakatani, Keisuke Maeda, Junji Akagi, Misato Ichigi, Marina Murakami, Yoshihiko Harada, Sara Utsumi, Masaki Fukunaga, Yuki Narita, Yuki Kondo, Yoichi Ishitsuka, Tetsumi Irie, Daisuke Kadowaki, Sumío HirataList of authors in order
- Landing page
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https://doi.org/10.1248/bpb.b19-00154Publisher landing page
- PDF URL
-
https://www.jstage.jst.go.jp/article/bpb/42/8/42_b19-00154/_pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.jstage.jst.go.jp/article/bpb/42/8/42_b19-00154/_pdfDirect OA link when available
- Concepts
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Renal function, Bioelectrical impedance analysis, Sarcopenia, Creatinine, Muscle mass, Urology, Endocrinology, Cystatin C, Chemistry, Internal medicine, Medicine, Body mass indexTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 3, 2023: 1, 2022: 2, 2020: 3Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.surface | 137 |
| abstract_inverted_index.values. | 100 |
| abstract_inverted_index.various | 61 |
| abstract_inverted_index.(eGFRcr) | 80 |
| abstract_inverted_index.However, | 174 |
| abstract_inverted_index.adjusted | 65, 134 |
| abstract_inverted_index.affected | 5 |
| abstract_inverted_index.although | 88, 115, 169 |
| abstract_inverted_index.analysis | 49, 147 |
| abstract_inverted_index.assuming | 175 |
| abstract_inverted_index.cystatin | 110 |
| abstract_inverted_index.equation | 128, 231 |
| abstract_inverted_index.estimate | 234 |
| abstract_inverted_index.evaluate | 31 |
| abstract_inverted_index.function | 63 |
| abstract_inverted_index.improve, | 168 |
| abstract_inverted_index.improved | 199, 218 |
| abstract_inverted_index.measured | 42, 55 |
| abstract_inverted_index.modified | 52 |
| abstract_inverted_index.obtained | 143 |
| abstract_inverted_index.patients | 27, 71, 178, 237 |
| abstract_inverted_index.removed. | 244 |
| abstract_inverted_index.skeletal | 209 |
| abstract_inverted_index.strongly | 4 |
| abstract_inverted_index.(eGFRcys) | 112 |
| abstract_inverted_index.(mL/min), | 139 |
| abstract_inverted_index.calculate | 131 |
| abstract_inverted_index.clearance | 57 |
| abstract_inverted_index.deviation | 104 |
| abstract_inverted_index.estimated | 11 |
| abstract_inverted_index.estimates | 64 |
| abstract_inverted_index.impedance | 146 |
| abstract_inverted_index.patients, | 187 |
| abstract_inverted_index.performed | 45 |
| abstract_inverted_index.Creatinine | 0 |
| abstract_inverted_index.creatinine | 21 |
| abstract_inverted_index.deviation. | 173 |
| abstract_inverted_index.eGFRcr-fcc | 191, 215 |
| abstract_inverted_index.equivalent | 121 |
| abstract_inverted_index.filtration | 13 |
| abstract_inverted_index.glomerular | 12 |
| abstract_inverted_index.parameters | 142 |
| abstract_inverted_index.regression | 48 |
| abstract_inverted_index.sarcopenia | 239 |
| abstract_inverted_index.coefficient | 33, 195 |
| abstract_inverted_index.correction) | 196 |
| abstract_inverted_index.correlation | 213 |
| abstract_inverted_index.differences | 242 |
| abstract_inverted_index.recalculate | 156 |
| abstract_inverted_index.sarcopenia. | 29, 73 |
| abstract_inverted_index.substituted | 225 |
| abstract_inverted_index.appendicular | 208 |
| abstract_inverted_index.coefficients | 184 |
| abstract_inverted_index.substitution | 206 |
| abstract_inverted_index.R<sup>2</sup> | 91, 117, 160, 189 |
| abstract_inverted_index.bioelectrical | 145 |
| abstract_inverted_index.determination | 35 |
| abstract_inverted_index.overestimated | 25 |
| abstract_inverted_index.(R<sup>2</sup>) | 36 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 14 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.69889444 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |