A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study
BackgroundThere are few reports evaluating the relationship between undernutrition and the risk of sarcopenia in type 2 diabetes mellitus (T2DM) patients.ObjectiveWe investigated whether undernutritional status assessed by the geriatric nutritional risk index (GNRI) and controlling nutritional statu...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Nutrition |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2023.1087471/full |
| _version_ | 1797937964821512192 |
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| author | Kaori Shiroma Kaori Shiroma Hayato Tanabe Yoshinori Takiguchi Mizuki Yamaguchi Masahiro Sato Haruka Saito Kenichi Tanaka Hiroaki Masuzaki Junichiro J. Kazama Michio Shimabukuro |
| author_facet | Kaori Shiroma Kaori Shiroma Hayato Tanabe Yoshinori Takiguchi Mizuki Yamaguchi Masahiro Sato Haruka Saito Kenichi Tanaka Hiroaki Masuzaki Junichiro J. Kazama Michio Shimabukuro |
| author_sort | Kaori Shiroma |
| collection | DOAJ |
| description | BackgroundThere are few reports evaluating the relationship between undernutrition and the risk of sarcopenia in type 2 diabetes mellitus (T2DM) patients.ObjectiveWe investigated whether undernutritional status assessed by the geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) were associated with the diagnosis of sarcopenia.MethodsThis was a cross-sectional study of Japanese individuals with T2DM. Univariate or multivariate logistic regression analysis was performed to assess the association of albumin, GNRI, and CONUT with the diagnosis of sarcopenia. The optimal cut-off values were determined by the receiver operating characteristic (ROC) curve to diagnose sarcopenia.ResultsIn 479 individuals with T2DM, the median age was 71 years [IQR 62, 77], including 264 (55.1%) men. The median duration of diabetes was 17 [11, 23] years. The prevalence of sarcopenia was 41 (8.6%) in all, 21/264 (8.0%) in men, and 20/215 (9.3%) in women. AUCs were ordered from largest to smallest as follows: GNRI > albumin > CONUT. The cut-off values of GNRI were associated with a diagnosis of sarcopenia in multiple logistic regression analysis (odds ratio 9.91, 95% confidential interval 5.72–17.2), P < 0.001. The superiority of GNRI as compared to albumin and CONUT for detecting sarcopenia was also observed in the subclasses of men, women, body mass index (BMI) < 22, and BMI ≥ 22.ConclusionsResults showed that GNRI shows a superior diagnostic power in the diagnosis of sarcopenia. Additionally, its optimal cut-off points were useful overall or in the subclasses. Future large and prospective studies will be required to confirm the utility of the GNRI cut-off for undernutrition individuals at risk for sarcopenia. |
| first_indexed | 2024-04-10T18:53:39Z |
| format | Article |
| id | doaj.art-63cde203095f44a9af68d2fdf1a177ab |
| institution | Directory Open Access Journal |
| issn | 2296-861X |
| language | English |
| last_indexed | 2024-04-10T18:53:39Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nutrition |
| spelling | doaj.art-63cde203095f44a9af68d2fdf1a177ab2023-02-01T05:16:01ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2023-02-011010.3389/fnut.2023.10874711087471A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional studyKaori Shiroma0Kaori Shiroma1Hayato Tanabe2Yoshinori Takiguchi3Mizuki Yamaguchi4Masahiro Sato5Haruka Saito6Kenichi Tanaka7Hiroaki Masuzaki8Junichiro J. Kazama9Michio Shimabukuro10Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Health and Nutrition, Faculty of Health and Nutrition, Okinawa University, Okinawa, JapanDepartment of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Nephrology and Hypertension, Fukushima Medical University School of Medicine, Fukushima, JapanDivision of Endocrinology, Diabetes, and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), University of the Ryukyus, Okinawa, JapanDepartment of Nephrology and Hypertension, Fukushima Medical University School of Medicine, Fukushima, JapanDepartment of Diabetes, Endocrinology, and Metabolism, Fukushima Medical University School of Medicine, Fukushima, JapanBackgroundThere are few reports evaluating the relationship between undernutrition and the risk of sarcopenia in type 2 diabetes mellitus (T2DM) patients.ObjectiveWe investigated whether undernutritional status assessed by the geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) were associated with the diagnosis of sarcopenia.MethodsThis was a cross-sectional study of Japanese individuals with T2DM. Univariate or multivariate logistic regression analysis was performed to assess the association of albumin, GNRI, and CONUT with the diagnosis of sarcopenia. The optimal cut-off values were determined by the receiver operating characteristic (ROC) curve to diagnose sarcopenia.ResultsIn 479 individuals with T2DM, the median age was 71 years [IQR 62, 77], including 264 (55.1%) men. The median duration of diabetes was 17 [11, 23] years. The prevalence of sarcopenia was 41 (8.6%) in all, 21/264 (8.0%) in men, and 20/215 (9.3%) in women. AUCs were ordered from largest to smallest as follows: GNRI > albumin > CONUT. The cut-off values of GNRI were associated with a diagnosis of sarcopenia in multiple logistic regression analysis (odds ratio 9.91, 95% confidential interval 5.72–17.2), P < 0.001. The superiority of GNRI as compared to albumin and CONUT for detecting sarcopenia was also observed in the subclasses of men, women, body mass index (BMI) < 22, and BMI ≥ 22.ConclusionsResults showed that GNRI shows a superior diagnostic power in the diagnosis of sarcopenia. Additionally, its optimal cut-off points were useful overall or in the subclasses. Future large and prospective studies will be required to confirm the utility of the GNRI cut-off for undernutrition individuals at risk for sarcopenia.https://www.frontiersin.org/articles/10.3389/fnut.2023.1087471/fullagingnutritional assessmentsarcopeniatype 2 diabetesundernutrition |
| spellingShingle | Kaori Shiroma Kaori Shiroma Hayato Tanabe Yoshinori Takiguchi Mizuki Yamaguchi Masahiro Sato Haruka Saito Kenichi Tanaka Hiroaki Masuzaki Junichiro J. Kazama Michio Shimabukuro A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study Frontiers in Nutrition aging nutritional assessment sarcopenia type 2 diabetes undernutrition |
| title | A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study |
| title_full | A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study |
| title_fullStr | A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study |
| title_full_unstemmed | A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study |
| title_short | A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study |
| title_sort | nutritional assessment tool gnri predicts sarcopenia and its components in type 2 diabetes mellitus a japanese cross sectional study |
| topic | aging nutritional assessment sarcopenia type 2 diabetes undernutrition |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2023.1087471/full |
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