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6 "Glucose tolerance test"
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Original Articles
Diabetes, Obesity and Metabolism
How Can We Adopt the Glucose Tolerance Test to Facilitate Predicting Pregnancy Outcome in Gestational Diabetes Mellitus?
Kyeong Jin Kim, Nam Hoon Kim, Jimi Choi, Sin Gon Kim, Kyung Ju Lee
Endocrinol Metab. 2021;36(5):988-996.   Published online October 15, 2021
DOI: https://doi.org/10.3803/EnM.2021.1107
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  • 112 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated how 100-g oral glucose tolerance test (OGTT) results can be used to predict adverse pregnancy outcomes in gestational diabetes mellitus (GDM) patients.
Methods
We analyzed 1,059 pregnant women who completed the 100-g OGTT between 24 and 28 weeks of gestation. We compared the risk of adverse pregnancy outcomes according to OGTT patterns by latent profile analysis (LPA), numbers to meet the OGTT criteria, and area under the curve (AUC) of the OGTT graph. Adverse pregnancy outcomes were defined as a composite of preterm birth, macrosomia, large for gestational age, low APGAR score at 1 minute, and pregnancy-induced hypertension.
Results
Overall, 257 participants were diagnosed with GDM, with a median age of 34 years. An LPA led to three different clusters of OGTT patterns; however, there were no significant associations between the clusters and adverse pregnancy outcomes after adjusting for confounders. Notwithstanding, the risk of adverse pregnancy outcome increased with an increase in number to meet the OGTT criteria (P for trend=0.011); odds ratios in a full adjustment model were 1.27 (95% confidence interval [CI], 0.72 to 2.23), 2.16 (95% CI, 1.21 to 3.85), and 2.32 (95% CI, 0.66 to 8.15) in those meeting the 2, 3, and 4 criteria, respectively. The AUCs of the OGTT curves also distinguished the patients at risk of adverse pregnancy outcomes; the larger the AUC, the higher the risk (P for trend=0.007).
Conclusion
The total number of abnormal values and calculated AUCs for the 100-g OGTT may facilitate tailored management of patients with GDM by predicting adverse pregnancy outcomes.

Citations

Citations to this article as recorded by  
  • Risk factors combine in a complex manner in assessment for macrosomia
    Yi-Wen Wang, Yan Chen, Yong-Jun Zhang
    BMC Public Health.2023;[Epub]     CrossRef
  • Association of the Severity of Hypertensive Disorders in Pregnancy with Birthweight, Childhood Obesity, and Blood Pressure at Age 7
    Yan Chen, Yiwen Wang, Yanjun Li, Guodong Ding, Yongjun Zhang
    Nutrients.2023; 15(14): 3104.     CrossRef
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Clinical Study
Predictive Performance of Glycated Hemoglobin for Incident Diabetes Compared with Glucose Tolerance Test According to Central Obesity
Suji Yoo, Jaehoon Jung, Hosu Kim, Kyoung Young Kim, Soo Kyoung Kim, Jungwha Jung, Jong Ryeal Hahm, Jong Ha Baek
Endocrinol Metab. 2020;35(4):873-881.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.798
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To examine whether glycated hemoglobin (HbA1c) test would be a suitable screening tool for detecting high-risk subjects for diabetes compared to oral glucose tolerance test (OGTT) according to accompanied central obesity.
Methods
In this prospective population-based cohort study, both OGTT and HbA1c tests were performed and continued every 2 years up to 12 years among individuals with non-diabetic state at baseline (aged 40 to 69 years, n=7,512). Incident diabetes was established by a doctor, HbA1c ≥6.5%, and/or fasting plasma glucose (FPG) ≥126 mg/dL, and/or 2-hour postprandial glucose (2hPG) level based on OGTT ≥200 mg/dL. Discriminative capacities of high HbA1c (≥5.7%) versus high 2hPG (≥140 mg/dL) for predicting incident diabetes were compared using Cox-proportional hazard regression and C-index.
Results
During the median 11.5 years of follow-up period, 1,341 (17.6%) developed diabetes corresponding to an incidence of 22.1 per 1,000 person-years. Isolated high 2hPG was associated with higher risk for incident diabetes (hazard ratio [HR], 4.29; 95% confidence interval [CI], 3.56 to 5.17) than isolated high HbA1c (HR, 2.79; 95% CI, 2.40 to 3.26; P<0.05). In addition, high 2hPG provided better discriminatory capacity than high HbA1c (C-index 0.79 vs. 0.75, P<0.05). Meanwhile, in subjects with central obesity, the HR (3.95 [95% CI, 3.01 to 5.18] vs. 2.82 [95% CI, 2.30 to 3.46]) and discriminatory capacity of incident diabetes (C-index 0.75 vs. 0.75) between two subgroups became comparable.
Conclusion
Even though the overall inferior predictive capacity of HbA1c test than OGTT, HbA1c test might plays a complementary role in identifying high risk for diabetes especially in subjects with central obesity with increased sensitivity.
Close layer
Clinical Study
Insulin Secretion and Insulin Resistance Trajectories over 1 Year after Kidney Transplantation: A Multicenter Prospective Cohort Study
Jun Bae Bang, Chang-Kwon Oh, Yu Seun Kim, Sung Hoon Kim, Hee Chul Yu, Chan-Duck Kim, Man Ki Ju, Byung Jun So, Sang Ho Lee, Sang Youb Han, Cheol Woong Jung, Joong Kyung Kim, Su Hyung Lee, Ja Young Jeon
Endocrinol Metab. 2020;35(4):820-829.   Published online November 18, 2020
DOI: https://doi.org/10.3803/EnM.2020.743
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  • 119 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated the changing patterns of insulin secretion and resistance and risk factors contributing to the development of post-transplant diabetes mellitus (PTDM) in kidney recipients under tacrolimus-based immunosuppression regimen during 1 year after transplantation.
Methods
This was a multicenter prospective cohort study. Of the 168 subjects enrolled in this study, we analyzed a total 87 kidney transplant recipients without diabetes which was assessed by oral glucose tolerance test before transplantation. We evaluated the incidence of PTDM and followed up the index of insulin secretion (insulinogenic index [IGI]) and resistance (homeostatic model assessment for insulin resistance [HOMA-IR]) at 3, 6, 9 months, and 1 year after transplantation by oral glucose tolerance test and diabetes treatment. We also assessed the risk factors for incident PTDM.
Results
PTDM developed in 23 of 87 subjects (26.4%) during 1 year after transplantation. More than half of total PTDM (56.5%) occurred in the first 3 months after transplantation. During 1 year after transplantation, insulin resistance (HOMA-IR) was increased in both PTDM and no PTDM group. In no PTDM group, the increase in insulin secretory function to overcome insulin resistance was also observed. However, PTDM group showed no increase in insulin secretion function (IGI). Old age, status of prediabetes and episode of acute rejection were significantly associated with the development of PTDM.
Conclusion
In tacrolimus-based immunosuppressive drugs regimen, impaired insulin secretory function for reduced insulin sensitivity contributed to the development of PTDM than insulin resistance during 1 year after transplantation.

Citations

Citations to this article as recorded by  
  • Prevalence of new-onset diabetes mellitus after kidney transplantation: a systematic review and meta-analysis
    Qiufeng Du, Tao Li, Xiaodong Yi, Shuang Song, Jing Kang, Yunlan Jiang
    Acta Diabetologica.2024;[Epub]     CrossRef
  • Distúrbio do eixo hipotálamo-hipófise-gonadal e sua associação com resistência à insulina em receptores de transplante renal
    Lourdes Balcázar-Hernández, Victoria Mendoza-Zubieta, Baldomero González-Virla, Brenda González-García, Mariana Osorio-Olvera, Jesús Ubaldo Peñaloza-Juarez, Irene Irisson-Mora, Martha Cruz-López, Raúl Rodríguez-Gómez, Ramón Espinoza-Pérez, Guadalupe Varga
    Brazilian Journal of Nephrology.2023; 45(1): 77.     CrossRef
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    Lourdes Balcázar-Hernández, Victoria Mendoza-Zubieta, Baldomero González-Virla, Brenda González-García, Mariana Osorio-Olvera, Jesús Ubaldo Peñaloza-Juarez, Irene Irisson-Mora, Martha Cruz-López, Raúl Rodríguez-Gómez, Ramón Espinoza-Pérez, Guadalupe Varga
    Brazilian Journal of Nephrology.2023; 45(1): 77.     CrossRef
  • Postoperative fasting plasma glucose and family history diabetes mellitus can predict post-transplantation diabetes mellitus in kidney transplant recipients
    Le Wang, Jin Huang, Yajuan Li, Kewei Shi, Sai Gao, Wangcheng Zhao, Shanshan Zhang, Chenguang Ding, Wei Gao
    Endocrine.2023; 81(1): 58.     CrossRef
  • Changes in glucose metabolism among recipients with diabetes 1 year after kidney transplant: a multicenter 1-year prospective study
    Jun Bae Bang, Chang-Kwon Oh, Yu Seun Kim, Sung Hoon Kim, Hee Chul Yu, Chan-Duck Kim, Man Ki Ju, Byung Jun So, Sang Ho Lee, Sang Youb Han, Cheol Woong Jung, Joong Kyung Kim, Hyung Joon Ahn, Su Hyung Lee, Ja Young Jeon
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Pretransplant evaluation and the risk of glucose metabolic alterations after renal transplantation: a prospective study
    Arminda Fariña-Hernández, Domingo Marrero-Miranda, Estefania Perez-Carreño, Antonia De Vera-Gonzalez, Alejandra González, Cristian Acosta-Sorensen, Ana Elena Rodríguez-Rodríguez, Tatiana Collantes, Marta del Pino García, Ana Isabel Rodríguez-Muñoz, Carla
    Nephrology Dialysis Transplantation.2022;[Epub]     CrossRef
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Brief Report
Diabetes
Comparison of Serum PCSK9 Levels in Subjects with Normoglycemia, Impaired Fasting Glucose, and Impaired Glucose Tolerance
Eugene Han, Nan Hee Cho, Seong-Su Moon, Hochan Cho
Endocrinol Metab. 2020;35(2):480-483.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.480
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  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
We investigated proprotein convertase subtilisin/kexin type 9 (PCSK9) concentrations in individuals with normoglycemia, impaired fasting glucose (IFG), and impaired glucose tolerance (IGT). This was a pilot, cross-sectional study including 92 individuals who had not been diagnosed with or treated for diabetes. We measured PCSK9 levels in three groups of subjects; namely, normoglycemia (n=57), IFG (n=21), and IGT (n=14). Individuals with IFG and IGT showed higher PCSK9 concentrations than those in the normoglycemic group, with the highest serum PCSK9 concentrations found in individuals with IGT (55.25±15.29 ng/mL for normoglycemia, 63.47±17.78 ng/mL for IFG, 72.22±15.46 ng/mL for IGT, analysis of variance P=0.001). There were no significant differences in high- or low-density lipoprotein cholesterol among groups. Serum PCSK9 levels are increased in patients with prediabetes compared to subjects with normoglycemia.

Citations

Citations to this article as recorded by  
  • Emerging Insights on the Diverse Roles of Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) in Chronic Liver Diseases: Cholesterol Metabolism and Beyond
    Thomas Grewal, Christa Buechler
    International Journal of Molecular Sciences.2022; 23(3): 1070.     CrossRef
  • Insight into the Evolving Role of PCSK9
    Mateusz Maligłówka, Michał Kosowski, Marcin Hachuła, Marcin Cyrnek, Łukasz Bułdak, Marcin Basiak, Aleksandra Bołdys, Grzegorz Machnik, Rafał Jakub Bułdak, Bogusław Okopień
    Metabolites.2022; 12(3): 256.     CrossRef
  • Proprotein convertase subtilisin/kexin type 9 (PCSK9) levels are not associated with severity of liver disease and are inversely related to cholesterol in a cohort of thirty eight patients with liver cirrhosis
    Susanne Feder, Reiner Wiest, Thomas S. Weiss, Charalampos Aslanidis, Doris Schacherer, Sabrina Krautbauer, Gerhard Liebisch, Christa Buechler
    Lipids in Health and Disease.2021;[Epub]     CrossRef
Close layer
Original Articles
Clinical Study
C-Peptide-Based Index Is More Related to Incident Type 2 Diabetes in Non-Diabetic Subjects than Insulin-Based Index
Jong-Dai Kim, Sung Ju Kang, Min Kyung Lee, Se Eun Park, Eun Jung Rhee, Cheol-Young Park, Ki-Won Oh, Sung-Woo Park, Won-Young Lee
Endocrinol Metab. 2016;31(2):320-327.   Published online June 21, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.2.320
  • 5,039 View
  • 84 Download
  • 45 Web of Science
  • 45 Crossref
AbstractAbstract PDFPubReader   
Background

Diabetes can be efficiently prevented by life style modification and medical therapy. So, identification for high risk subjects for incident type 2 diabetes is important. The aim of this study is to identify the best β-cell function index to identify high risk subjects in non-diabetic Koreans.

Methods

This is a retrospective longitudinal study. Total 140 non-diabetic subjects who underwent standard 2-hour 75 g oral glucose tolerance test from January 2007 to February 2007 at Kangbuk Samsung Hospital and followed up for more than 1 year were analyzed (mean follow-up, 54.9±16.4 months). The subjects were consist of subjects with normal glucose tolerance (n=44) and subjects with prediabetes (n=97) who were 20 years of age or older. Samples for insulin and C-peptide levels were obtained at 0 and 30 minutes at baseline.

Results

Thirty subjects out of 140 subjects (21.4%) developed type 2 diabetes. When insulin-based index and C-peptide-based index are compared between progressor and non-progressor to diabetes, all C-peptide-based indices were statistically different between two groups, but only insulinogenic index and disposition index among insulin-based index were statistically different. C-peptide-based index had higher value of area under receiver operating characteristic curve (AROC) value than that of insulin-based index. "C-peptidogenic" index had highest AROC value among indices (AROC, 0.850; 95% confidence interval, 0.761 to 0.915). C-peptidogenic index had significantly higher AROC than insulinogenic index (0.850 vs. 0.731 respectively; P=0.014).

Conclusion

C-peptide-based index was more closely related to incident type 2 diabetes in non-diabetic subjects than insulin-based index.

Citations

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    Liping Yang, Zhaomin Liu, Wenhua Ling, Li Wang, Changyi Wang, Jianping Ma, Xiaolin Peng, Jianying Chen
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3395.     CrossRef
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    Rong Huang, Sai Tian, Jing Han, Rongrong Cai, Hongyan Lin, Dan Guo, Jiaqi Wang, Shaohua Wang
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    Ting Lu, Yao Wang, Ting Dou, Bizhen Xue, Yuanyuan Tan, Jiao Yang
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    Won-Young Lee
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Adrenal gland
Using Growth Hormone Levels to Detect Macroadenoma in Patients with Acromegaly
Ji Young Park, Jae Hyeon Kim, Sun Wook Kim, Jae Hoon Chung, Yong-Ki Min, Myung-Shik Lee, Moon-Kyu Lee, Kwang-Won Kim
Endocrinol Metab. 2014;29(4):450-456.   Published online December 29, 2014
DOI: https://doi.org/10.3803/EnM.2014.29.4.450
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AbstractAbstract PDFPubReader   
Background

The aim of this study was to assess the clinical differences between acromegalic patients with microadenoma and patients with macroadenoma, and to evaluate the predictive value of growth hormone (GH) levels for early detection of macroadenoma.

Methods

We performed a retrospective analysis of 215 patients diagnosed with a GH-secreting pituitary adenoma. The patients were divided into two groups: the microadenoma group and the macroadenoma group, and the clinical parameters were compared between these two groups. The most sensitive and specific GH values for predicting macroadenoma were selected using receiver operating characteristic (ROC) curves.

Results

Compared with the microadenoma group, the macroadenoma group had a significantly younger age, higher body mass index, higher prevalence of hyperprolactinemia and hypogonadism, and a lower proportion of positive suppression to octreotide. However, there were no significant differences in the gender or in the prevalence of diabetes between the two groups. The tumor diameter was positively correlated with all GH values during the oral glucose tolerance test (OGTT). All GH values were significantly higher in the macroadenoma group than the microadenoma group. Cut-off values for GH levels at 0, 30, 60, 90, and 120 minutes for optimal discrimination between macroadenoma and microadenoma were 5.6, 5.7, 6.3, 6.0, and 5.8 ng/mL, respectively. ROC curve analysis revealed that the GH value at 30 minutes had the highest area under the curve.

Conclusion

The GH level of 5.7 ng/mL or higher at 30 minutes during OGTT could provide sufficient information to detect macroadenoma at the time of diagnosis.

Citations

Citations to this article as recorded by  
  • Sex differences in acromegaly at diagnosis: A nationwide cohort study and meta‐analysis of the literature
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    Clinical Endocrinology.2021; 94(4): 625.     CrossRef
  • Pretreatment serum GH levels and cardio-metabolic comorbidities in acromegaly; analysis of data from Iran Pituitary Tumor Registry
    Leila Hedayati Zafarghandi, Mohammad Ebrahim Khamseh, Milad Fooladgar, Shahrzad Mohseni, Mostafa Qorbani, Nahid Hashemi Madani, Mahboobeh Hemmatabadi, MohammadReza Mohajeri-Tehrani, Nooshin Shirzad
    Journal of Diabetes & Metabolic Disorders.2020; 19(1): 319.     CrossRef
  • Increased serum nesfatin-1 levels in patients with acromegaly
    Yakun Yang, Song Han, Zuocheng Yang, Pengfei Wang, Chang-Xiang Yan, Ning Liu
    Medicine.2020; 99(40): e22432.     CrossRef
  • Articles in 'Endocrinology and Metabolism' in 2014
    Won-Young Lee
    Endocrinology and Metabolism.2015; 30(1): 47.     CrossRef
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