Background Gestational diabetes can lead to complications in pregnant women and neonates. Maternal glycated albumin levels during late pregnancy may help predict complications in both mothers and neonates.
Methods This study was conducted in 120 singleton pregnant women diagnosed with gestational diabetes who visited Trinium Woman’s Hostipal between July 1, 2020, and June 30, 2022. In this study, the patients’ medical records were retrospectively analyzed. Gestational diabetes was diagnosed using a two-step testing method, and glycated albumin tests were performed during the third trimester of pregnancy. The optimal cutoff value of glycated albumin for predicting maternal complications during pregnancy and neonatal complications was determined using the receiver operating characteristic curve.
Results A total of 45 patients developed maternal complications, with cesarean section (39 patients) due to fetal cephalopelvic disproportion being the most common. As for the neonatal complications, eight neonates were macrosomic or overweight, while 15 neonates required neonatal intensive care unit admission. Additionally, 13 patients had concurrent complications affecting both the mother and neonate. The glycated albumin level in patients with complications was 12.87%, which was significantly higher than that in patients without complications (glycated albumin, 11.67%) (P<0.001). The optimal cutoff value of glycated albumin for predicting maternal and neonatal complications was 12.45%. The sensitivity, specificity, and Youden index were 66.7 %, 86.7%, and 0.534, respectively.
Conclusion The third trimester glycated albumin test in mothers with gestational diabetes provides limited predictive value for maternal and neonatal complications.
Background Metabolic syndrome (MS) is a well-known risk factor of cardiovascular diseases that is focused on central obesity. Recent studies have reported the association between pericardial adipose tissue (PAT) volume and MS. However, no studies have demonstrated the cutoff PAT volume that represents the best association with MS.
Methods The data of 374 subjects were analyzed cross-sectionally to compare PAT, measured on coronary multidetector computed tomography, and various metabolic parameters according to MS. After PAT volumes were divided into tertiles, various metabolic parameters were compared among tertiles; furthermore, the odds ratio for developing MS was calculated. Finally, we demonstrated the cutoff PAT volume that represented the best association with MS by using the receiver-operating characteristic curve.
Results We found that 27.5% of the subjects had MS, and the mean PAT volume was 123.9 cm3 . PAT showed a significant positive correlation with body mass index, waist circumference, and levels of glucose, triglyceride, high-sensitivity C-reactive protein, uric acid, and homocysteine, but a negative correlation with high-density lipoprotein cholesterol. Furthermore, after dividing into tertiles, PAT volume was also significantly associated with various metabolic parameters. The odds ratio for having MS was 4.19 (95% confidence interval, 2.27–7.74) in the top tertile of PAT volumes after adjusting for age, sex, and smoking. The cutoff PAT volume that represented the best association with MS was 142.2 cm3 .
Conclusion PAT was significantly associated with MS and various metabolic parameters. The cutoff PAT volume of 142.2 cm3 showed the best association with MS.
Background Cut-off values for visceral fat area (VFA) measured by computed tomography (CT) for identifying individuals at risk of metabolic syndrome (MetS) have not been clearly established in Korean adults, particularly for large populations. We aimed to identify optimal VFA and waist circumference (WC) cut-off values and compare the ability of VFA and WC to predict the presence of ≥2 metabolic risk factors.
Methods We included 36,783 subjects aged 19–79 years undergoing abdominal fat CT during regular health checkups between January 2007 and February 2015 in Seoul. The risk factors for MetS except WC were based on the International Diabetes Federation criteria. Receiver operating characteristic curve analyses were used to determine the appropriate VFA and WC cut-off values for MetS.
Results VFA was a more significant predictor of metabolic risk factors than WC and body mass index (BMI). The optimal cut-off values for VFA and WC were 134.6 cm2 and 88 cm for men and 91.1 cm2 and 81 cm for women, respectively. We estimated age-specific cut-off values for VFA, WC, and BMI. VFA cut-off values increased with age, particularly among women.
Conclusion This large population study proposed the cut-off values for VFA and WC for identifying subjects at risk of MetS among Korean adults. For more accurate diagnosis, different age-specific cut-off values for VFA and WC may be considered.
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