Continuous glucose monitoring (CGM) facilitates the assessment of short-term glucose variability and identification of acute excursions of hyper- and hypo-glycemia. Among 37 diabetic hemodialysis patients who underwent 7-day CGM with the iPRO2 device (Medtronic Diabetes, Northridge, CA, USA), we explored the accuracy of glycated albumin (GA) and hemoglobin A1c (HbA1c) in assessing glycemic control, using CGM-derived metrics as the reference standard. In receiver operating characteristic (ROC) analysis, the area under the curve (AUC) in diagnosing a time in the target glucose range of 70-180 mg/dL (TIR) in <50% of readings was higher for GA (AUC: 0.878; 95% confidence interval (CI): 0.728-0.962) as compared to HbA1c (AUC: 0.682; 95% CI: 0.508-0.825) ( < 0.01). The accuracy of GA (AUC: 0.939; 95% CI: 0.808-0.991) in detecting a time above the target glucose range > 250 mg/dL (TAR) in >10% of readings did not differ from that of HbA1c (AUC: 0.854; 95% CI: 0.699-0.948) ( = 0.16). GA (AUC: 0.712; 95% CI: 0.539-0.848) and HbA1c (AUC: 0.740; 95% CI: 0.570-0.870) had a similarly lower efficiency in detecting a time below target glucose range < 70 mg/dL (TBR) in >1% of readings ( = 0.71). Although the mean glucose levels were similar, the coefficient of variation of glucose recordings (39.2 ± 17.3% vs. 32.0 ± 7.8%, < 0.001) and TBR (median (range): 5.6% (0, 25.8) vs. 2.8% (0, 17.9)) were higher during the dialysis-on than during the dialysis-off day. In conclusion, the present study shows that among diabetic hemodialysis patients, GA had higher accuracy than HbA1c in detecting a 7-day CGM-derived TIR < 50%. However, both biomarkers provided an imprecise reflection of acute excursions of hypoglycemia and inter-day glucose variability.
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http://dx.doi.org/10.3390/jcm10184116 | DOI Listing |
Am J Clin Nutr
January 2025
Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, United States. Electronic address:
Background: Continuous glucose monitors (CGMs) are used to characterize postprandial glucose responses and provide personalized dietary advice to minimize glucose excursions. The efficacy of such advice depends on reliable glucose responses.
Objectives: To explore within-subject variability of CGM responses to duplicate presented meals in an inpatient setting.
Eur J Haematol
January 2025
Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
Background: Bone marrow examination (BME) is the gold standard of diagnosing myelodysplastic syndromes (MDS).
Problems: it is invasive, painful, causing possible bleeding, inaccurate (aspirate hemodilution), and subjective (inter-observer interpretation discordance). We developed non-invasive diagnostic tools: A logistic regression formula [LeukRes 2018], then a web algorithm using 10 variables (age, gender, Hb, MCV, WBC, ANC, monocytes, PLT, glucose, creatinine) to diagnose/exclude MDS [BldAdv 2021].
Int J Gynaecol Obstet
January 2025
Department of Obstetrics and Gynaecology, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, Delhi, India.
Objective: This study compares ambulatory glycemic profile and glycemic variability between pregnant women diagnosed with type 2 diabetes mellitus (T2DM) receiving pharmacotherapy and healthy pregnant women without diabetes and assesses their correlation with fetal outcome.
Method: This was a case-control study involving 60 pregnant women (40 with T2DM and 20 healthy controls) in the third trimester of pregnancy. A flash glucose monitor device was applied over the upper arm to obtain the ambulatory glucose profile.
BMC Med Inform Decis Mak
January 2025
Department of Obstetrics and Gynecology, Tehran University of Medical Sciences, Tehran, Iran.
Background: Gestational Diabetes Mellitus (GDM) is a common complication during pregnancy. Late diagnosis can have significant implications for both the mother and the fetus. This research aims to create an early prediction model for GDM in the first trimester of pregnancy.
View Article and Find Full Text PDFBMC Neurol
January 2025
Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 East Jianshe Road, Zhengzhou, China.
Background: Awareness of the characteristics of glial fibrillary acidic protein autoantibody (GFAP-IgG) associated myelitis facilitates early diagnosis and treatment. We explored features in GFAP-IgG myelitis and compared them with those in myelitis associated with aquaporin-4 IgG (AQP4-IgG) and myelin oligodendrocyte glycoprotein IgG (MOG-IgG).
Methods: We retrospectively reviewed data from patients with GFAP-IgG myelitis at the First Affiliated Hospital of Zhengzhou University and Henan Children's Hospital from May 2018 to May 2023.
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