Low-density lipoprotein (LDL)-cholesterol, malondialdehyde-modified low-density lipoprotein (MDA-LDL), MDA-LDL/LDL-cholesterol in serum, and blood pressure are considered useful risk markers of cardiovascular diseases. This study aimed to examine whether a fermented milk containing Streptococcus thermophilus YIT 2001 (ST), which has high anti-oxidative activity, would benefit healthy and mildly hyper-LDL-cholesterolaemic adults via a randomised, double-blind, placebo-controlled trial. ST-fermented milk or non-fermented placebo milk (PC) was consumed once a day for 12 weeks by 29 and 30 subjects, respectively, with average serum LDL-cholesterol levels of about 140 mg/dl. Serum levels of LDL-cholesterol and MDA-LDL and blood pressure were analysed before (baseline) and after consumption. Comparisons of the responses between both groups were assessed using analysis of covariance (ANCOVA, with the baseline value as the covariate). ANCOVA demonstrated that the ST group had significant reductions in MDA-LDL, MDA-LDL/LDL-cholesterol, systolic blood pressure (SBP), and diastolic blood pressure (DBP) compared with the PC group during the consumption period (P<0.05). Moreover, stratified analysis revealed that there were significant reductions in MDA-LDL, MDA-LDL/LDL-cholesterol, SBP, and DBP in the ST group compared with the PC group during the consumption period in subjects who had above median (65 U/l) levels of oxidative stress marker MDA-LDL at baseline (P<0.05), but not in subjects with levels below the median. These findings suggest that daily consumption of ST-fermented milk may be beneficial in healthy or mildly hyper-LDL cholesterolaemic subjects through reductions in risk marker values of oxidative stress and/or cardiovascular diseases. The benefits were particularly remarkable in subjects who had higher levels of MDA-LDL.

Background and Aim Treatment response to ursodeoxycholic acid may predict the prognosis of patients with primary biliary cholangitis (PBC). Recent studies have suggested the benefits of using machine learning (ML) to forecast complex medical predictions. We aimed to predict treatment response in patients with PBC using ML and pretreatment data. Methods We conducted a single‐center retrospective study and collected data from 194 patients with PBC who were followed up for at least 12 months after treatment initiation. Patient data were analyzed with five ML models, namely random forest, extreme gradient boosting (XGB), decision tree, naïve Bayes, or logistic regression, to predict treatment response using the Paris II criteria. The established models were assessed using an out‐of‐sample validation. The area under the curve (AUC) was used to evaluate the efficacy of each algorithm. Overall survival and liver‐related deaths were analyzed using Kaplan–Meier analysis. Results Compared to logistic regression (AUC = 0.595, P = 0.0219, 0.031 models), ML analyses showed significantly high AUC in the random forest (AUC = 0.84) and XGB (AUC = 0.83) models; however, the AUC was not significantly high for decision tree (AUC = 0.633) or naïve Bayes (AUC = 0.584) models. Kaplan–Meier analysis showed significantly improved prognoses in patients predicted to achieve the Paris II criteria by XGB (log‐rank = 0.005 and 0.007). Conclusion ML algorithms could improve treatment response prediction using pretreatment data, which could lead to better prognoses. In addition, the ML model using XGB could predict the prognosis of patients before treatment initiation.

Several cases of esophageal stenosis caused by cervical vertebral osteophytes have been reported; however, few reports of esophageal stenosis caused by thoracic osteophytes are available. We describe the case of an 86‐year‐old man with esophageal stenosis caused by a thoracic osteophyte near the tracheal bifurcation. An endoscopic ultrasonography examination was scheduled to determine the cause of acute pancreatitis; however, lacerations observed at the bifurcation following endoscope removal during prior esophagogastroduodenoscopy led us to cancel the ultrasonography to avoid potential esophageal perforation. A review of the present case and six similar previous cases of thoracic osteophyte‐associated esophageal stenosis (identified via a systematic search of the PubMed database) demonstrated the clinical importance of a thoracic osteophyte near physiological esophageal stenosis. Esophagogastroduodenoscopy and computed tomography should be performed to screen for vertebral osteophytes before endoscopic ultrasonography, endoscopic retrograde cholangiopancreatography, and transesophageal echocardiography to avoid iatrogenic accidents.