PMID- 36819693
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230224
IS  - 2296-861X (Print)
IS  - 2296-861X (Electronic)
IS  - 2296-861X (Linking)
VI  - 10
DP  - 2023
TI  - A nutritional assessment tool, GNRI, predicts sarcopenia and its components in 
      type 2 diabetes mellitus: A Japanese cross-sectional study.
PG  - 1087471
LID - 10.3389/fnut.2023.1087471 [doi]
LID - 1087471
AB  - BACKGROUND: There are few reports evaluating the relationship between 
      undernutrition and the risk of sarcopenia in type 2 diabetes mellitus (T2DM) 
      patients. OBJECTIVE: We investigated whether undernutritional status assessed by 
      the geriatric nutritional risk index (GNRI) and controlling nutritional status 
      (CONUT) were associated with the diagnosis of sarcopenia. METHODS: This 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. RESULTS: In 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. CONCLUSIONS: Results 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.
CI  - Copyright (c) 2023 Shiroma, Tanabe, Takiguchi, Yamaguchi, Sato, Saito, Tanaka, 
      Masuzaki, Kazama and Shimabukuro.
FAU - Shiroma, Kaori
AU  - Shiroma K
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
AD  - Department of Health and Nutrition, Faculty of Health and Nutrition, Okinawa 
      University, Okinawa, Japan.
FAU - Tanabe, Hayato
AU  - Tanabe H
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
FAU - Takiguchi, Yoshinori
AU  - Takiguchi Y
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
FAU - Yamaguchi, Mizuki
AU  - Yamaguchi M
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
FAU - Sato, Masahiro
AU  - Sato M
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
FAU - Saito, Haruka
AU  - Saito H
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
FAU - Tanaka, Kenichi
AU  - Tanaka K
AD  - Department of Nephrology and Hypertension, Fukushima Medical University School of 
      Medicine, Fukushima, Japan.
FAU - Masuzaki, Hiroaki
AU  - Masuzaki H
AD  - Division of Endocrinology, Diabetes, and Metabolism, Hematology, Rheumatology 
      (Second Department of Internal Medicine), University of the Ryukyus, Okinawa, 
      Japan.
FAU - Kazama, Junichiro J
AU  - Kazama JJ
AD  - Department of Nephrology and Hypertension, Fukushima Medical University School of 
      Medicine, Fukushima, Japan.
FAU - Shimabukuro, Michio
AU  - Shimabukuro M
AD  - Department of Diabetes, Endocrinology, and Metabolism, Fukushima Medical 
      University School of Medicine, Fukushima, Japan.
LA  - eng
PT  - Journal Article
DEP - 20230201
PL  - Switzerland
TA  - Front Nutr
JT  - Frontiers in nutrition
JID - 101642264
PMC - PMC9928854
OTO - NOTNLM
OT  - aging
OT  - nutritional assessment
OT  - sarcopenia
OT  - type 2 diabetes
OT  - undernutrition
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/02/24 06:00
MHDA- 2023/02/24 06:01
PMCR- 2023/01/01
CRDT- 2023/02/23 10:05
PHST- 2022/11/02 00:00 [received]
PHST- 2023/01/02 00:00 [accepted]
PHST- 2023/02/23 10:05 [entrez]
PHST- 2023/02/24 06:00 [pubmed]
PHST- 2023/02/24 06:01 [medline]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fnut.2023.1087471 [doi]
PST - epublish
SO  - Front Nutr. 2023 Feb 1;10:1087471. doi: 10.3389/fnut.2023.1087471. eCollection 
      2023.