Racial and Ethnic Minorities With Acute Pancreatitis Live in Neighborhoods With Higher Social Vulnerability Scores.

OBJECTIVES: The primary objective was to determine differences in Social Vulnerability Index (SVI) scores among minorities (African-Americans and Hispanics) with acute pancreatitis (AP) compared with non-Hispanic whites (NHWs) with AP. The secondary objectives were to determine differences in diet, sulfidogenic bacteria gene copy numbers (gcn) and hydrogen sulfide (H2S) levels between the 2 groups. MATERIALS AND METHODS: Patients with AP were enrolled during hospitalization (n = 54). Patient residential addresses were geocoded, and the Centers for Disease Control and Prevention's SVI scores were appended. Dietary intake and serum H2S levels were determined. Microbial DNAs were isolated from stool, and gcn of sulfidogenic bacteria were determined. RESULTS: Minorities had higher SVI scores compared with NHWs ( P = 0.006). They also had lower consumption of beneficial nutrients such as omega-3 fatty acids [stearidonic ( P = 0.019), and eicosapentaenoic acid ( P = 0.042)], vitamin D ( P = 0.025), and protein from seafood ( P = 0.031). Lastly, minorities had higher pan-dissimilatory sulfite reductase A ( pan-dsrA ) gcn ( P = 0.033) but no significant differences in H2S levels ( P = 0.226). CONCLUSION: Minorities with AP have higher SVI compared with NHWs with AP. Higher SVI scores, lower consumption of beneficial nutrients, and increased gcn of pan-dsrA in minorities with AP suggest that neighborhood vulnerability could be contributing to AP inequities.

High performance in risk stratification of intraductal papillary mucinous neoplasms by confocal laser endomicroscopy image analysis with convolutional neural networks (with video).

BACKGROUND AND AIMS: EUS-guided needle-based confocal laser endomicroscopy (EUS-nCLE) can differentiate high-grade dysplasia/adenocarcinoma (HGD-Ca) in intraductal papillary mucinous neoplasms (IPMNs) but requires manual interpretation. We sought to derive predictive computer-aided diagnosis (CAD) and artificial intelligence (AI) algorithms to facilitate accurate diagnosis and risk stratification of IPMNs. METHODS: A post hoc analysis of a single-center prospective study evaluating EUS-nCLE (2015-2019; INDEX study) was conducted using 15,027 video frames from 35 consecutive patients with histopathologically proven IPMNs (18 with HGD-Ca). We designed 2 CAD-convolutional neural network (CNN) algorithms: (1) a guided segmentation-based model (SBM), where the CNN-AI system was trained to detect and measure papillary epithelial thickness and darkness (indicative of cellular and nuclear stratification), and (2) a reasonably agnostic holistic-based model (HBM) where the CNN-AI system automatically extracted nCLE features for risk stratification. For the detection of HGD-Ca in IPMNs, the diagnostic performance of the CNN-CAD algorithms was compared with that of the American Gastroenterological Association (AGA) and revised Fukuoka guidelines. RESULTS: Compared with the guidelines, both n-CLE-guided CNN-CAD algorithms yielded higher sensitivity (HBM, 83.3%; SBM, 83.3%; AGA, 55.6%; Fukuoka, 55.6%) and accuracy (SBM, 82.9%; HBM, 85.7%; AGA, 68.6%; Fukuoka, 74.3%) for diagnosing HGD-Ca, with comparable specificity (SBM, 82.4%; HBM, 88.2%; AGA, 82.4%; Fukuoka, 94.1%). Both CNN-CAD algorithms, the guided (SBM) and agnostic (HBM) models, were comparable in risk stratifying IPMNs. CONCLUSION: EUS-nCLE-based CNN-CAD algorithms can accurately risk stratify IPMNs. Future multicenter validation studies and AI model improvements could enhance the accuracy and fully automatize the process for real-time interpretation.

Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

OBJECTIVES: We lack reliable methods for identifying patients with chronic pancreatitis (CP) at increased risk for pancreatic cancer. We aimed to identify radiographic parameters associated with pancreatic cancer in this population. METHODS: We conducted a retrospective cohort study of patients with suspected CP within an integrated healthcare system in Southern California in 2006-2015. Patients were identified by a diagnostic code and confirmed by imaging findings (parenchymal calcification, ductal stones, glandular atrophy, pseudocyst, main duct dilatation, duct irregularity, abnormal side branch, or stricture) defined by the natural language processing of radiographic reports. We used Cox regression to determine the relationship of smoking, alcohol use, acute pancreatitis, diabetes, body mass index, and imaging features with the risk of incident pancreatic cancer at least 1 year after abnormal pancreas imaging. RESULTS: We identified 1,766 patients with a diagnostic code and an imaging feature for CP with a median follow-up of 4.5 years. There were 46 incident pancreatic cancer cases. Factors that predicted incident pancreatic cancer after 1-year of follow-up included obesity (hazard ratio 2.7, 95% confidence interval: 1.2-6.1) and duct dilatation (hazard ratio 10.5, 95% confidence limit: 4.0-27). Five-year incidence of pancreatic cancer in this population with duct dilatation was 6.3%. DISCUSSION: High incidence of pancreatic cancer in suspected patients with CP with pancreatic duct dilatation warrants regular surveillance for pancreatic cancer.

Nutrition and Inflammatory Biomarkers in Chronic Pancreatitis Patients.

BACKGROUND: Chronic pancreatitis (CP) patients frequently experience malabsorption and maldigestion, leading to micronutrient and macronutrient deficiencies. Comorbid diabetes and lifestyle habits, such as alcohol consumption, may impact nutrition status. METHODS: We compared micronutrient antioxidant, bone metabolism, serum protein, and inflammatory marker levels in 301 CP patients and 266 controls with no known pancreatic disease. We analyzed serum prealbumin and retinol binding protein; vitamins A, D, E, and B12; osteocalcin; tumor necrosis factor-α; and C-reactive protein (CRP). We also evaluated biomarkers among subsets of patients, examining factors including time since diagnosis, body mass index, alcohol as primary etiology, diabetes mellitus, vitamin supplementation, and pancreatic enzyme replacement. RESULTS: After correcting for multiple comparisons, CP patients had significantly lower levels than controls of the following: vitamin A (40.9 vs 45.4 µg/dL) and vitamin E (α-tocopherol [8.7 vs 10.3 mg/L] and γ-tocopherol [1.8 vs 2.2 mg/L]), as well as osteocalcin (7.9 vs 10 ng/mL) and serum prealbumin (23 vs 27 mg/dL). Both patients and controls who took vitamin supplements had higher serum levels of vitamins than those not taking supplements. Compared with controls, in controlled analyses, CP patients had significantly lower levels of vitamins A, D, and E (both α-tocopherol and γ-tocopherol). CP patients also had significantly lower levels of osteocalcin, serum prealbumin, and retinol binding protein, and higher CRP. CONCLUSIONS: CP patients demonstrated lower levels of selected nutrition and bone metabolism biomarkers than controls. Diabetes and alcohol did not impact biomarkers. Vitamin supplements and pancreatic enzyme replacement therapy improved nutrition biomarkers in CP patients.

Predictors of Pancreatic Cancer-Associated Weight Loss and Nutritional Interventions.

OBJECTIVES: Pancreatic ductal adenocarcinoma (PDAC) is often accompanied by weight loss. We sought to characterize factors associated with weight loss and observed nutritional interventions, as well as define the effect of weight loss on survival. METHODS: Consecutive subjects diagnosed with PDAC (N = 123) were retrospectively evaluated. Univariate analysis was used to compare subjects with and without substantial (>5%) weight loss. Multivariate logistic regression was performed to identify factors associated with weight loss, and survival analyses were performed using Kaplan-Meier curves and Cox survival models. RESULTS: Substantial weight loss at diagnosis was present in 71.5% of subjects and was independently associated with higher baseline body mass index, longer symptom duration, and increased tumor size. Recommendations for nutrition consultation and pancreatic enzyme replacement therapy occurred in 27.6% and 36.9% of subjects, respectively. Weight loss (>5%) was not associated with worse survival on multivariate analysis (hazard ratio, 1.32; 95% confidence interval, 0.76-2.30), unless a higher threshold (>10%) was used (hazard ratio, 1.77; 95% confidence interval, 1.09-2.87). CONCLUSIONS: Despite the high prevalence of weight loss at PDAC diagnosis, there are low observed rates of nutritional interventions. Weight loss based on current criteria for cancer cachexia is not associated with poor survival in PDAC.

The management of acute and chronic pancreatitis.

Pancreatitis, which is most generally described as any inflammation of the pancreas, is a serious condition that manifests in either acute or chronic forms. Chronic pancreatitis results from irreversible scarring of the pancreas, resulting from prolonged inflammation. Six major etiologies for chronic pancreatitis have been identified: toxic/ metabolic, idiopathic, genetic, autoimmune, recurrent and severe acute pancreatitis, and obstruction. The most common symptom associated with chronic pancreatitis is pain localized to the upper-to-middle abdomen, along with food malabsorption, and eventual development of diabetes. Treatment strategies for acute pancreatitis include fasting and short-term intravenous feeding, fluid therapy, and pain management with narcotics for severe pain or nonsteroidal anti-inflammatories for milder cases. Patients with chronic disease and symptoms require further care to address digestive issues and the possible development of diabetes. Dietary restrictions are recommended, along with enzyme replacement and vitamin supplementation. More definitive outcomes may be achieved with surgical or endoscopic methods, depending on the role of the pancreatic ducts in the manifestation of disease.