Rebleeding Risk of Acute Hemorrhagic Rectal Ulcer: A Multicenter Retrospective Study.

Objective Acute hemorrhagic rectal ulcer (AHRU) is characterized by sudden, painless, and massive bleeding from rectal ulcers. To date, few studies have analyzed the risk factors for AHRU rebleeding. In this study, we clarified the risk factors of rebleeding after initial hemostasis of AHRU through a multicenter study. Methods A total of 149 patients diagnosed with AHRU between January 2015 and May 2020 at 3 medical centers were enrolled. We retrospectively investigated the following factors: age, sex, body mass index (BMI), performance status (PS), Charlson comorbidity index (CCI), comorbidities, medications, laboratory examinations, endoscopic findings, view of the entire rectum on endoscopy, hemostasis method, blood transfusion history, shock, instructions for posture change after initial hemostasis, and clinical course. Results Rebleeding was observed in 35 (23%) of 149 patients. A multivariate analysis showed that significant factors for rebleeding were PS 4 [odds ratio (OR), 5.23; 95% confidence interval (CI)], 1.97-13.9; p=0.001], a blood transfusion history (OR, 3.66; 95% CI, 1.41-9.51; p=0.008), low an estimated glomerular filtration rate (eGFR) levels (OR, 0.98; 95% CI, 0.97-0.99; p=0.001), poor view of the whole rectum on endoscopy (OR, 0.33; 95% CI, 0.12-0.90; p=0.030), and use of monopolar hemostatic forceps (OR, 4.89; 95% CI, 1.37-17.4; p=0.014). Conclusion Factors associated with rebleeding of AHRU were a poor PS (PS4), blood transfusion, a low eGFR, poor view of the whole rectum on endoscopy, and the use of monopolar hemostatic forceps.

Visibility of early gastric cancers by texture and color enhancement imaging using a high-definition ultrathin transnasal endoscope.

We evaluated whether texture and color enhancement imaging (TXI) using a high-definition ultrathin transnasal endoscope (UTE) improves the visibility of early gastric cancer (EGC) compared with white-light imaging (WLI). This study included 31 EGCs observed by TXI mode 2 using a high-definition UTE prior to endoscopic submucosal dissection. The first outcome was to compare the color differences based on Commission Internationale de l'Eclairage L*a*b* color space between EGCs and the surrounding mucosa by WLI and TXI using the UTE (objective appearance of EGC). The second outcome was to assess the visibility of EGCs by WLI and TXI using the UTE in an image evaluation test performed on 10 endoscopists (subjective appearance of EGC). Color differences between EGCs and non-neoplastic mucosa were significantly higher in TXI than in WLI in all EGCs (TXI: 16.0 ± 10.1 vs. WLI: 10.2 ± 5.5 [mean ± standard deviation], P < 0.001). Median visibility scores evaluated by 10 endoscopists using TXI were significantly higher than those evaluated using WLI (TXI: 4 [interquartile range, 4-4] vs. WLI: 4 [interquartile range, 3-4], P < 0.001). TXI using high-definition UTE improved both objective and subjective visibility of EGCs compared with WLI.

Targeted Metabolomic Profiling of Plasma Samples in Gastric Cancer by Liquid Chromatography-Mass Spectrometry.

INTRODUCTION: As the high mortality rate of gastric cancer (GC) is due to delayed diagnosis, early detection is vital for improved patient outcomes. Metabolic deregulation plays an important role in GC. Although various metabolite-level biomarkers for early detection have been assessed, there is still no unified early detection method. We conducted a plasma metabolome study to assess metabolites that may distinguish GC samples from non-GC samples. METHODS: Blood samples were collected from 72 GC patients and 29 control participants (non-GC group) at the Tokyo Medical University Hospital between March 2020 and November 2020. Hydrophilic metabolites were identified and quantified using liquid chromatography-time-of-flight mass spectrometry. Differences in metabolite concentrations between the GC and non-GC groups were evaluated using the Mann-Whitney test. The discrimination ability of each metabolite was evaluated by the area under the receiver operating characteristic curve. A radial basis function (RBF) kernel-based support vector machine (SVM) model was developed to assess the discrimination ability of multiple metabolites. The selection of variables used for the SVM utilized a step-wise regression method. RESULTS: Of the 96 quantified metabolites, 8 were significantly different between the GC and non-GC groups. Of these, N1-acetylspermine, succinate, and histidine were used in the RBF-SVM model to discriminate GC samples from non-GC samples. The area under the curve (AUC) of the RBF-SVM model was higher (0.915; 95% CI: 0.865-0.965, p < 0.0001), indicating good performance of the RBF-SVM model. The application of this RBF-SVM to the validation dataset resulted from the AUC of the RBF-SVM model was (0.885; 95% CI: 0.797-0.973, p < 0.0001), indicating the good performance of the RBF-SVM model. The sensitivity of the RBF-SVM model was better (69.0%) than those of the common tumor markers carcinoembryonic antigen (CEA) (10.5%) and carbohydrate antigen 19-9 (CA19-9) (2.86%). The RBF-SVM showed a low correlation with CEA and CA19-9, indicating its independence. CONCLUSION: We analyzed plasma metabolomics, and a combination of the quantified metabolites showed high sensitivity for the detection of GC. The independence of the RBF-SVM from tumor markers suggested that their complementary use would be helpful for GC screening.

Validation of the BEST-J score, a prediction model for bleeding after endoscopic submucosal dissection for early gastric cancer: a multicenter retrospective observational study.

BACKGROUND: A new scoring system, the BEST-J score, using ten risk factors to assign cases to different post-endoscopic submucosal dissection (ESD) risk groups for bleeding, has been shown to be accurate for risk stratification. We first aimed to validate the BEST-J score at four hospitals not specialized in performing ESD and then aimed to identify other risk factors for post-ESD bleeding. METHODS: We evaluated the incidence of post-ESD bleeding in 791 cases of early gastric cancer (EGC) between October 2013 and December 2020 as a retrospective, multi-center observational study conducted at four hospitals. Multivariate logistic regression models to examine the effect of independent variables on post-ESD bleeding firstly included ten possible factors raised by the BEST-J score and secondly included statistically significant (p < 0.01) in univariate analysis. The prediction accuracy of the model was evaluated by receiver-operating characteristic analysis and the areas under the curve (AUC). RESULTS: The incidence of post-ESD bleeding was 4.8% (38/791, 95% confidence interval [CI] 3.4-6.5%). On multivariate analysis, the risk factors were P2Y12 receptor antagonist (odds ratio [OR]: 5.870, 95% CI 1.624-21.219), warfarin (8.382, 1.658-42.322), direct oral anticoagulant (DOAC) (8.980, 1.603-50.322), and tumor location in lower third of stomach (2.151, 1.012-4.571), respectively. When we categorized cases into low-risk by BEST-J score, intermediate-risk, high-risk, and very high-risk groups, the bleeding rates were 2.8%, 7.3%, 12.8%, and 19.0%, respectively. The AUC for our cohort was 0.713 (95% CI 0.625-0.802) for the BEST-J score. In the multivariate analysis in our cohort, the risks were age, body mass index, P2Y12 receptor antagonist, warfarin, DOAC, respectively. DISCUSSION: The BEST-J score is equally accurate in risk stratification of patients with EGC for post-ESD bleeding at non-specialized facilities for ESD as in specialized hospitals. BMI and age may be helpful additional risk factors at hospitals not specialized.

[A case of colon cancer manifesting as intussusception in pregnancy].

This is the case of a 40-year-old, 34-week pregnant woman, who had bloody stools and abdominal pain from 20 weeks gestation. She presented to our department as she noted an exacerbation in her abdominal pain, and was admitted. Sonography and magnetic resonance imaging displayed a mass with an appearance consistent with intussusception, hence intussusception was diagnosed. The patient underwent a cesarean section and concurrent partial colectomy, which showed that she had a colon cancer. There were no postoperative complications. Colon cancer as a complication of pregnancy is rare. We encountered a case of a patient with colorectal cancer that caused intussusception in the latter half of pregnancy, and report it here with a review of the literature.