Crohn's disease (CD) is a disease with chronic inflammation of unknown etiology involving any part of the gastrointestinal tract. The incidence and prevalence of CD are increasing recently in Asia. Half of the CD patients will have intestinal complications, such as strictures or fistulas, within 20 years after diagnosis. Twenty-five percentage of CD patients have had at least one small bowel stricture and 10% have had at least one colonic stricture and lead to significant complications. Most of these patients will require at least one surgery during their lifetime. Early diagnosis and evaluation with adequate managements for the patients can prevent disability and mortality of these patient. Here, we reviewed the current incidence of CD with stricture, the etiology of stricture, and how to diagnose and manage the stricture.
Asia ; Colon ; Constriction, Pathologic* ; Crohn Disease* ; Diagnosis ; Disease Management ; Early Diagnosis ; Fistula ; Gastrointestinal Tract ; Humans ; Incidence ; Inflammation ; Intestines ; Mortality ; Prevalence

AIMTo compare the results of bladder tumor associated antigen (BTA TRAK), nuclear matrix protein 22 (NMP 22) and voided urine cytology (VUC) in detecting bladder cancer.

METHODSA total of 135 elderly male and 50 healthy volunteers enrolled in this study were classified into three groups: (i) 93 patients with bladder cancer; (ii) 42 patients with urinary benign conditions; and (iii) 50 healthy volunteers. BTA TRAK and NMP 22 kits were used to detect bladder cancer. Voided urine cytology was used to compare the sensitivity and specificity of the screening tests.

RESULTSThe sensitivity and specificity of cytology, BTA TRAK and NMP 22 were 24% and 97%, 51% and 73%, 78% and 73%, respectively. The level of NMP 22 increased with tumor grading. The BTA TRAK kit has the lowest sensitivity among the screening tests. The NMP 22 with the best sensitivity can be an adjunct to cytology for evaluating bladder cancer.

CONCLUSIONThe NMP 22 test has a better correlation with the grading of the bladder cancer than BTA TRAK. As cytology units are typically not available in hospitals or in outpatient clinics, NMP 22 might be a promising tool for screening bladder cancer.

Aged ; Humans ; Male ; Nuclear Proteins ; urine ; Taiwan ; Urinary Bladder Neoplasms ; diagnosis ; urine ; Urine ; cytology

AIMTo determine the incidence of adenocarcinoma of the prostate for patients undergoing radical cystoprostatectomy for bladder cancer in Taiwan.

METHODSA total of 248 patients in Taiwan who were histologically confirmed for transitional cell carcinoma of the bladder underwent cystoprostatectomy. Histopathologic evaluation of the prostate specimens sectioned at 5 mm intervals was performed.

RESULTSOf the 248 patients, 10 (4.03%) were found to have prostate cancer. Of the 10 cases of unsuspected prostate cancer, eight proved to be at stage T1 or T2, and two at T3 and T4, respectively. This rate of incidentally found prostate cancer amongst our bladder cancer patients appeared to be lower than that found in bladder cancer patients in similar studies in USA.

CONCLUSIONAlthough the incidence of incidental prostate cancer in patients in Taiwan with bladder cancer is not high compared with that in Western countries, we suggest that digital rectal examination and prostate-specific antigen (PSA) are important screening tools for men with bladder cancer, especially for those aged 60 years and older in Taiwan.

Carcinoma, Transitional Cell ; pathology ; surgery ; Humans ; Male ; Neoplasm Staging ; Prostatectomy ; Prostatic Neoplasms ; complications ; surgery ; Urinary Bladder Neoplasms ; complications ; pathology ; surgery

Background/Aims: Primary sclerosing cholangitis (PSC) is associated with inflammatory bowel disease (IBD). We aimed to evaluate the prevalence, clinical manifestation, and outcomes of PSC in Taiwanese patients with IBD. Methods: This retrospective study enrolled patients with IBD admitted from January 1, 1996, to December 31, 2018, to National Taiwan University Hospital. A case-matched analysis was performed comparing patients with IBD with and without PSC according to age, sex, and time of admission, with ratios of 1:4 and 1:2 in the adult and pediatric groups, respectively. Results In total, 763 patients with IBD were enrolled, 12 of whom were also diagnosed with PSC (1.57%). All these patients had ulcerative colitis (UC). A greater incidence of IBD with PSC was observed in younger patients than in older patients. Male sex was a risk factor for PSC in pediatric patients with IBD (P=0.015); 75% of these patients were diagnosed with PSC along with or after the diagnosis of UC. There was no significant difference in colitis extent and severity between the groups; however, a higher proportion of rectal sparing was observed in patients with PSC (P=0.001). There was no significant difference in cancer development between the groups (P=0.679). Conclusions: A 1.57% prevalence of PSC was observed in Taiwanese patients with IBD. The majority of patients with IBD and PSC were men and were diagnosed at a younger age. Hence, routine evaluation of biliary enzymes and liver imaging is recommended in young male patients with IBD.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.