Background: "Japanese clinical guidelines for autoimmune pancreatitis" advised to carefully differentiate between two conditions: autoimmune pancreatitis (AIP) and associated sclerosing cholangitis (SC), and pancreatobiliary malignancy.
Methodology: We report a series of three cases for which differential diagnosis of pancreatobiliary carcinoma from AIP and associated SC was crucial.
Result: Three patients presented with biliary stenosis secondary to pancreatic swelling or mass lesion, followed by further examinations: Case 1 was first diagnosed as having tumor-forming pancreatitis associated with AIP but eventually proven to be pancreatic head carcinoma; case 2 was operated for suspected bile duct cancer combined with AIP and associated cholangitis, and early cancer was found in the resected specimen; case 3 was operated on for presumed cholangiocarcinoma combined with AIP-associated SC, but no malignancy was found.
Conclusions: Current series of cases would raise an alert on diagnosis of AIP and associated SC, and pancreatobiliary malignancy should be carefully excluded by any means. Surgical intervention would be required in selected cases of this clinical entity.
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http://dx.doi.org/10.1007/s12029-010-9209-1 | DOI Listing |
Prostate
January 2025
Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Objective: A number of susceptibility genes in prostate tissue have been identified to be associated with prostate cancer (PCa) risk. However, the reported genes based on assessing prostate tissue could not fully explain PCa genetic susceptibility. It is believed that genes functioning in the immune system may fill in the gap of some missing heritability.
View Article and Find Full Text PDFNiger Med J
January 2025
Department Of Medicine, College of Medicine, University of Lagos, Nigeria & Consultant Cardiologist, Lagos University Teaching Hospital, Lagos, Nigeria.
Background: The hypertriglyceridemic waist (HTGW) phenotype was introduced as a means of identifying individuals at risk of developing metabolic syndrome as well as cardiovascular diseases and diabetes. However, studies surrounding the prevalence of the phenotype and its relationship with established markers of cardiometabolic risk, especially in the Nigerian population, remain sparse. This study aimed to determine the prevalence of the HTGW phenotype and explore its relationship with cardiovascular risk markers, namely Castelli Risk Indices I and II (CRI-I and CRI-II), Atherogenic Index of Plasma (AIP) and serum triglyceride-HDL cholesterol ratio (TG/HDL).
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Family Medicine, Chang-Gung Memorial Hospital, Taoyuan, Taiwan.
Background: The rising global prevalence of metabolic syndrome (MetS), characterized by a constellation of cardiovascular risk factors, underscores the urgent need to identify reliable predictive biomarkers. We hypothesize that an elevated atherogenic index of plasma (AIP) predicts MetS risk through lipid imbalance, but population-specific variations in its predictive strength remain unexplored. Our study aimed to assess AIP), a ratio of triglycerides to high-density lipoprotein cholesterol, as a predictor of MetS.
View Article and Find Full Text PDFBackground: The atherogenic index of plasma (AIP) is a newly identified metabolic marker for atherosclerosis. However, there are inconsistent conclusions regarding the relationship between AIP and hypertension.
Methods: The study subjects were sourced from the National Health and Nutrition Examination Survey (NHANES) database from 2017 to 2020.
Int J Surg
January 2025
Department of General Surgery.
Objective: Gallstones have gradually become a highly prevalent digestive disease worldwide. This study aimed to investigate the association of nine different obesity-related indicators (BRI, RFM, BMI, WC, LAP, CMI, VAI, AIP, TyG) with gallstones and to compare their predictive properties for screening gallstones.
Methods: Data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) for the 2017-2020 cycle, and weighted logistic regression analyses with multi-model adjustment were conducted to explore the association of the nine indicators with gallstones.
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