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Enomoto H, Yuri Y, Nishimura T, Ikeda N, Takashima T, Aizawa N, Okamoto M, Yoshihara K, Yoshioka R, Kawata S, Kawase Y, Nakano R, Shiomi H, Fukunishi S, Shinzaki S, Iijima H. A Low Geriatric Nutritional Risk Index Is Associated with Low Muscle Volume and a Poor Prognosis among Cirrhotic Patients. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2099. [PMID: 38138202 PMCID: PMC10744724 DOI: 10.3390/medicina59122099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/20/2023] [Accepted: 11/26/2023] [Indexed: 12/24/2023]
Abstract
Background and Objectives: The geriatric nutritional risk index (GNRI) is an easily calculable index that can be determined using three common clinical variables. The GNRI is suggested to be related to sarcopenia in cirrhotic patients. However, the relationship between the GNRI and the prognosis in patients with liver cirrhosis (LC) has not been reported. The aim of the present research is to study the association of the GNRI with the nutritional status, hepatic function reserve, and prognosis in patients with liver cirrhosis (LC). Materials and Methods: A total of 370 cirrhotic patients whose nutritional statuses were evaluated using anthropometric measurements and bioimpedance analysis were studied. The associations between the GNRI and nutritional status and the GNRI and hepatic function reserve were analyzed. We also investigated the GNRI and prognosis of patients with LC. Results: The median age of the enrolled patients was 66 years old, and 266 (71.9%) patients had viral hepatitis-related LC. The GNRI was shown to decrease with the progression of chronic liver disease, represented by an increased FIB-4 index and severe Child-Pugh and mALBI grades. In addition, a low GNRI (<92) was associated with severe cirrhosis-related metabolic disorders, including a low branched-chain amino acid-to-tyrosine ratio (BTR) and a low zinc value. The GNRI was positively correlated with two nutrition-related anthropometric variables (% arm circumference and % arm muscle circumference), and a low GNRI was related to a low skeletal muscle mass index (SMI) (<7.0 kg/m2 for men or <5.7 kg/m2 for women), as determined by using bioimpedance analysis. In addition, patients with a low GNRI (<92) had a poorer prognosis than those with a high GNRI (≥92) (log-rank test: p = 0.0161, and generalized Wilcoxon test, p = 0.01261). Conclusions: Our results suggest that a low GNRI is related to severe chronic liver disease, low muscle volume, and a poor prognosis of patients with cirrhosis.
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Affiliation(s)
- Hirayuki Enomoto
- Department of Gastroenterology, Hyogo Medical University, Mukogawa-cho 1-1, Nishinomiya 663-8501, Hyogo, Japan; (Y.Y.); (T.N.); (N.I.); (T.T.); (N.A.); (M.O.); (K.Y.); (R.Y.); (S.K.); (Y.K.); (R.N.); (H.S.); (S.F.); (S.S.); (H.I.)
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Zhang Y, Yan S, Sheng S, Qin Q, Chen J, Li W, Li T, Gao X, Wang L, Ang L, Ding S. Comparison of gut microbiota in male MAFLD patients with varying liver stiffness. Front Cell Infect Microbiol 2022; 12:873048. [PMID: 35992168 PMCID: PMC9381746 DOI: 10.3389/fcimb.2022.873048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose In this study, we examined the changes to the composition and function of the gut microbiota from patients with metabolic dysfunction-associated fatty liver disease (MAFLD).We compared patients in a case group (liver stiffness (LSM) ≥ 7.4 kPa) with a matched control group (LSM < 7.4 kPa) and investigated the correlation between characteristics of the microbiota and other biochemical indicators. Methods The study looked at a total of 85 men with MAFLD, 17 of whom were in the case group and 68 of whom were in the control group. We measured waist circumference, blood pressure, and body mass index, as well as clinical parameters including liver stiffness, enzyme levels, cholesterol levels, and fat attenuation. Whole-genome shotgun sequencing technology and the MetaCyc database were then used to detect the composition and major pathways of the gut microbiota for each patient. Statistical analyses were performed, including the chi-square test, the student’s t-test, the Wilcoxon rank-sum test, and the Mann–Whitney test. Results Whole-genome sequencing showed that the composition of the gut microbiota in patients with an LSM of above 7.4 kPa was significantly different to that of the control group. There were seven bacterial species that were different between the two groups. Prevotella copri, Phascolarctobacterium succinatutens, Eubacterium biforme, and Collinsella aerofaciens were enriched in the case group (P < 0.05). Conversely, Bacteroides coprocola, Bacteroides stercoris and Clostridiales bacterium 1_7_47FAA were decreased in the case group (P < 0.05). Furthermore, after removing low abundance pathways, a total of 32 microbial pathways were found to be significantly different between the two groups. Most pathways enriched in the case group over the control were related to biosynthesis of metabolites including amino acids, vitamins, nucleosides, and nucleotides. Conclusion. The composition and function of the gut microbiota in patients with increased liver stiffness are significantly altered. This observation may provide new avenues to better understand the mechanism of liver fibrosis.
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Affiliation(s)
- Yuheng Zhang
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Su Yan
- Center for Precision Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shifeng Sheng
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qian Qin
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingfeng Chen
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Weikang Li
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tiantian Li
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinxin Gao
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lin Wang
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Ang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Suying Ding
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- College of Public Health, Zhengzhou University, Zhengzhou, China
- *Correspondence: Suying Ding,
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