Dataset Information

Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus.

ABSTRACT:

Aims/introduction

Diabetes and sarcopenia have a two-way relationship with each other with advanced age. Additionally, malnutrition is correlated with a higher risk of sarcopenia in elderly patients. This study evaluated the association between sarcopenia and geriatric nutritional risk index (GNRI) in elderly patients with type 2 diabetes mellitus.

Materials and methods

Patients with type 2 diabetes mellitus aged ≥60 years were recruited from June 2018 to August 2020. This study analyzed 234 patients, who completed a physical performance test required for the diagnosis of sarcopenia. To investigate the effect of GNRI on sarcopenia, logistic regression analyses was used.

Results

Patients with sarcopenia were significantly older with a lower body mass index (BMI) and GNRI compared with normal patients. The GNRI showed a positive correlation with the skeletal muscle index (SMI) and handgrip strength (SMI: R = 0.486, P < 0.001 for male; R = 0.589, P < 0.001 for female, handgrip strength: R = 0.470, P < 0.001 for male, R = 0.364, P < 0.001 for female). In the multivariate logistic regression model, a higher GNRI was associated with a lower risk of sarcopenia in older men and women with diabetes (adjusted odds ratio [OR], 0.892; 95% confidence interval [CI], 0.839-0.948 for male; adjusted OR, 0.928; 95% CI, 0.876-0.982 for female). One year of diabetes treatment improved the GNRI in the sarcopenia group with type 2 diabetes mellitus.

Conclusions

A low GNRI was associated with an increased risk of sarcopenia in elderly patients with type 2 diabetes mellitus. Treatment with glucose-lowering drugs improved the GNRI in the sarcopenia group.

SUBMITTER: Matsuura S

PROVIDER: S-EPMC9340875 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus.

Matsuura Shun S Shibazaki Koji K Uchida Reiko R Imai Yukiko Y Mukoyama Takuya T Shibata Shoko S Morita Hiroshi H

Journal of diabetes investigation 20220324 8

<h4>Aims/introduction</h4>Diabetes and sarcopenia have a two-way relationship with each other with advanced age. Additionally, malnutrition is correlated with a higher risk of sarcopenia in elderly patients. This study evaluated the association between sarcopenia and geriatric nutritional risk index (GNRI) in elderly patients with type 2 diabetes mellitus.<h4>Materials and methods</h4>Patients with type 2 diabetes mellitus aged ≥60 years were recruited from June 2018 to August 2020. This study a ...[more]

PMID: 35290727

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Project description:BackgroundOsteoporosis is a very common bone disease in the elderly population and can lead to fractures and disability. Malnutrition can lead to osteoporosis. The geriatric nutritional risk index (GNRI) is a tool used to assess the risk of malnutrition and complications associated with nutritional status in older patients and is a crucial predictor of many diseases. Hence, this study investigated the association between the GNRI and the presence of osteoporosis and assessed the value of this index for predicting osteoporosis in patients with type 2 diabetes mellitus (T2DM).MethodsThis cross-sectional study enrolled 610 elderly patients with T2DM. General and laboratory data of the patients were collected, along with their measurements of bone mineral density (BMD). The GNRI was calculated based on ideal body weight and serum albumin (ABL) levels. Correlation analysis was performed to determine the relationship between the GNRI and BMD and bone metabolism indices. The GNRI predictive value for osteoporosis development was analyzed through logistic regression analysis and by creating a receiver operating characteristic curve (ROC), calculating the area under the curve (AUC).ResultsAll patients were divided into the no-nutritional risk and nutritional risk groups. Compared with the no-nutritional risk group, the nutritional risk group had a longer diabetes course, older age, higher HbA1c levels, higher prevalence of osteoporosis; lower BMI, ABL,triglyceride (TG),Calcium (Ca),25-hydroxy-vitamin-D(25(OH)D),and parathyroid hormone(PTH) and lower femoral neck BMD,total hip BMD (P < 0.05). All patients were also assigned to the non-osteoporosis and osteoporosis groups. The non-osteoporosis group had higher GNRI values than the osteoporosis group (P < 0.05). Correlation analysis revealed a positive correlation between the GNRI and lumbar BMD, femoral neck BMD, and total hip BMD (P < 0.05). After the adjustment for confounding factors, Spearman's correlation analysis revealed that the GNRI was positively correlated with Ca, 25(OH)D, and PTH and negatively correlated with alkaline phosphatase (ALP) and procollagen of type-1 N-propeptide (P1NP). Regression analysis exhibited that the GNRI was significantly associated with osteoporosis. The ROC curve analysis was performed using the GNRI as the test variable and the presence of osteoporosis as the status variable. This analysis yielded an AUC for the GNRI of 0.695 and was statistically significant (P < 0.05).ConclusionsA lower GNRI among T2DM patients in northern China is associated with a higher prevalence of osteoporosis.

Project description:IntroductionThe hemochorial placenta provides a critical barrier at the maternal-fetal interface to modulate maternal immune tolerance and enable gas and nutrient exchange between mother and conceptus. Pregnancy outcomes are adversely affected by diabetes mellitus; however, the effects of poorly controlled diabetes on placental formation, and subsequently fetal development, are not fully understood.Research design and methodsStreptozotocin was used to induce hyperglycemia in pregnant rats for the purpose of investigating the impact of poorly controlled diabetes on placental formation and fetal development. The experimental paradigm of hypoxia exposure in the pregnant rat was also used to assess properties of placental plasticity. Euglycemic and hyperglycemic rats were exposed to ambient conditions (~21% oxygen) or hypoxia (10.5% oxygen) beginning on gestation day (gd) 6.5 and sacrificed on gd 13.5. To determine whether the interaction of hyperglycemia and hypoxia was directly altering trophoblast lineage development, rat trophoblast stem (TS) cells were cultured in high glucose (25 mM) and/or exposed to low oxygen (0.5% to 1.5%).ResultsDiabetes caused placentomegaly and placental malformation, decreasing placental efficiency and fetal size. Elevated glucose disrupted rat TS cell differentiation in vitro. Evidence of altered trophoblast differentiation was also observed in vivo, as hyperglycemia affected the junctional zone transcriptome and interfered with intrauterine trophoblast invasion and uterine spiral artery remodeling. When exposed to hypoxia, hyperglycemic rats showed decreased proliferation and ectoplacental cone development on gd 9.5 and complete pregnancy loss by gd 13.5. Furthermore, elevated glucose concentrations inhibited TS cell responses to hypoxia in vitro.ConclusionsOverall, these results indicate that alterations in placental development, efficiency, and plasticity could contribute to the suboptimal fetal outcomes in offspring from pregnancies complicated by poorly controlled diabetes.

Dataset Information

Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus.

Aims/introduction

Materials and methods

Results

Conclusions

Publications

Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus.

Similar Datasets

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