Objective: The aim of this study was to evaluate the M-ANNHEIM classification system to categorize patients with chronic pancreatitis (CP).
Methods: All symptomatic patients recruited from the gastroenterology outpatient clinic of Changhai Hospital (n = 89) were routinely evaluated by magnetic resonance cholangiopancreatography and contrast-enhanced computed tomography. M-ANNHEIM clinical staging was used to categorize patients. The primary outcome measure was pain during the 2-year follow-up period, expressed as mean Izbicki pain scores obtained before and after endotherapy.
Results: There was a significant improvement in mean (SD) Izbicki pain scores obtained at 24 months among patients receiving endoscopic therapy at stage 1a compared with those at stage 1b (4.9 [3.0] vs 14.5 [6.9], P = 0.012). Furthermore, significantly more patients receiving endoscopic therapy at stage 1a achieved complete + partial pain relief after 2-year follow-up than those at stage 1b (95.2% vs 78.0%, P = 0.021). There was no exocrine or endocrine insufficiency, but a significantly greater number of patients treated at stage 1a had post-endoscopic retrograde cholangiopancreatography pancreatitis compared with those at stage 1b (10.5% vs 2.7%, P = 0.025).
Conclusions: We demonstrated that a sophisticated M-ANNHEIM classification system for CP will improve diagnosis by allowing for more timely intervention. Furthermore, prompt treatment of CP may achieve improved pain relief and patient outcomes.
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http://dx.doi.org/10.1097/MPA.0000000000000140 | DOI Listing |
Pancreatology
September 2024
Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute IRCCS, Vita-Salute San Raffaele University, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy. Electronic address:
Background: Endoscopic ultrasound (EUS) is the most sensitive method for diagnosing chronic pancreatitis (CP) in its early stages, and Rosemont Classification (RC) is used for its evaluation. Data on the correlation between EUS features and pancreatic exocrine insufficiency (PEI) are limited. We investigated the correlation between the EUS findings and PEI.
View Article and Find Full Text PDFEur Rev Med Pharmacol Sci
December 2023
Department of Gastroenterology, University Hospital "Tsaritsa Ioanna-ISUL", Medical University of Sofia, Sofia, Bulgaria.
Objective: Patients with pancreatic diseases are at increased risk of cardiovascular events. Investigating various apolipoprotein forms as important atherogenesis components may improve cardiovascular risk (CVR) prediction. This study aimed to investigate CVR factors in patients with chronic pancreatitis.
View Article and Find Full Text PDFPancreatology
April 2023
Department of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm, Sweden; Department of Clinical Science, Intervention, and Technology (CLINTEC), Karolinska Institute, Stockholm, Sweden.
Introduction: Most patients with chronic pancreatitis (CP) develop pancreatic exocrine insufficiency (PEI) over the course of the disease. PEI may lead to hyperoxaluria and development of urinary oxalate stones. It has been postulated that the patients with CP may be at increased risk of kidney stone formation, but the data is scarce.
View Article and Find Full Text PDFCurr Opin Gastroenterol
September 2022
Department of Medicine II, LMU University Hospital, Munich, Germany.
Purpose Of Review: The incidence of chronic pancreatitis as a progressive inflammation and fibrosis syndrome is on the rise due to increasing awareness and improved imaging modalities. Numerous classification systems have been suggested in recent years to describe the disease, but only few of them have been used to classify the severity and prognostic significance of the disease. Biomarkers for severity and (early) chronic pancreatitis diagnosis are not yet ready for clinical application.
View Article and Find Full Text PDFPancreas
March 2022
From the Department of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam.
Objectives: We developed an epidemiological algorithm to classify types of diabetes mellitus (DM) in chronic pancreatitis (CP), and applied it to a nationwide prospective longitudinal cohort of CP patients.
Methods: Patients with definite CP (M-ANNHEIM criteria) were classified as having DM types 1, 2, or 3c, or no DM using an algorithm based on epidemiological characteristics: DM onset in relation to age, CP onset, exocrine insufficiency. Variables associated with development of DM were identified.
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