We investigated an association between serum Growth Differentiation Factor 15 (GDF15) level and cardiovascular risk in patients with newly diagnosed type 2 diabetes mellitus (T2D). A total of 107 participants were screened for T2D and divided into a T2D group and a control group (without diabetes). We used the Framingham risk score (FRS) and the New Pooled Cohort Equation score to estimate the 10-year risk of atherosclerotic cardiovascular disease. Serum GDF15 levels were measured using an enzyme-linked immunosorbent assay. Correlation analyses were performed to evaluate the associations between GDF15 level and cardiovascular risk scores. The mean serum GDF15 level was elevated in the T2D group compared to the control group (P < 0.001). A positive correlation was evident between serum GDF15 level and age (r = 0.418, P = 0.001), the FRS (r = 0.457, P < 0.001), and the Pooled Cohort Equation score (r = 0.539, P < 0.001). After adjusting for age, LDL-C level, and body mass index (BMI), the serum GDF15 level was positively correlated with the FRS and the New Pooled Cohort Equation score. The serum GDF15 level is independently associated with cardiovascular risk scores of newly diagnosed T2D patients. This suggests that the level of GDF15 may be a useful predictive biomarker of cardiovascular risk in newly diagnosed T2D patients.

Malnutrition associated vitamin D deficiency contributes to the calcium loss from bone and results in osteoporosis and osteomalacia at final stage. Osteomalacia is characterized with softening of bone secondary to defective bone mineralization. Here, we report a case of possible osteomalacia caused by prolonged lactation and severe malnutrition in 35-year-old female. She was a housewife and her body mass index was 11.8 kg/m2. She was diagnosed with severe osteoporosis in regular health check-up 2 years ago, but did not take any medication. Nine months ago, she had been treated with anti-tuberculosis medications for 6 month due to active pulmonary tuberculosis. After complete remission of pulmonary tuberculosis, she had lost her appetite severely. Furthermore, she felt gait difficulty and suffered from generalized bone pain. On serologic examination, hypocalcemia, hypophosphatemia, high alkaline phosphatase, low vitamin D3 and high parathyroid hormone level were seen. In the bone mineral density, Z-score from her lumbar spine was -6.5. She was treated with oral calcium and vitamin D3 intramuscularly. After 1 year treatment, she felt significant improvement in bone pain and could walk alone. Also her serum calcium, phosphate and vitamin D3 level are all normalized.

Background: Metabolic syndrome is associated with type 2 diabetes and cardiovascular disease in patients with prediabetes. The aim of this study was to investigate and compare WHtR (Waist-to-Height Ratio) as a predictor of metabolic syndrome with other anthropometric indices as in Body Mass Index (BMI), Waist Circumference (WC) and Waist to Hip Ratio (WHR) in prediabetes. Methods: A total of 816 subjects with prediabetes were recruited from a community based Cohort Study. Receiver operating characteristic (ROC) curve was performed to find the optimal cutoff value of WHtR. Area under the curve (AUC) was calculated for each anthropometric index and correlation coefficient between WHtR and various dermographic and clinical factors was calculated. Results: WHtR had a significant correlation with metabolic parameters except for fasting glucose and increased with increasing number of risk factors for metabolic syndrome. AUC of WHtR was significantly higher than that of other anthropometric indices. The optimal cutoff value of WHtR was 0.53 for metabolic syndrome in prediabetes. Conclusion: WHtR may be the simple and effective anthropometric index for predicting metabolic syndrome in prediabetic patients.

Background Colon ischemia (CI) is injury to the intestines secondary to insufficient blood flow. Its clinical severity can range from mild to life-threatening. Aims To investigate predictive risk factors for CI and propose a scoring model for severe outcomes. Methods We retrospectively analyzed the medical records of patients admitted to Chungnam National University Hospital from January 2010 to December 2018. CI was defined as severe when patients required surgery immediately or after initial conservative management, death occurred after hospitalization, or symptoms persisted after 2 weeks. By controlling for possible confounders from the logistic regression analysis, we obtained a new risk scoring model for the early prediction of severe CI. Furthermore, using the area under the receiver operating characteristics curve (AUROC), we assessed the accuracy of the model. Results A total of 274 patients endoscopically diagnosed with CI were included, of whom 181 had severe CI. In the multivariate analysis, tachycardia, elevated C-reactive protein, Favier endoscopic classification stage ≥ 2, and history of hypertension were independently and significantly associated with severe CI. The AUROC of the model was 0.749. Conclusions This risk scoring model based on the presence of tachycardia, elevated C-reactive protein level, unfavorable endoscopic findings by Favier's classification, and the history of hypertension could be used to predict severe CI outcomes at an early stage.

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