Association of Dietary Habits with Severity of Acute Pancreatitis

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.

Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk

INTRODUCTION

Diet and decreased gut microbiome diversity has been associated with acute pancreatitis (AP) risk. However, differences in dietary intake, gut microbiome, and their impact on microbial end metabolites have not been studied in AP. We aimed to determine differences in (i) dietary intake (ii) gut microbiome diversity and sulfidogenic bacterial abundance, and (iii) serum short-chain fatty acid (SCFA) and hydrogen sulfide (H 2 S) concentrations in AP and control subjects.

METHODS

This case-control study recruited 54 AP and 46 control subjects during hospitalization. Clinical and diet data and stool and blood samples were collected. 16S rDNA sequencing was used to determine gut microbiome alpha diversity and composition. Serum SCFA and H 2 S levels were measured. Machine learning (ML) model was used to identify microbial targets associated with AP.

RESULTS

AP patients had a decreased intake of vitamin D 3 , whole grains, fish, and beneficial eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids. AP patients also had lower gut microbiome diversity ( P = 0.021) and a higher abundance of sulfidogenic bacteria including Veillonella sp. and Haemophilus sp., which were associated with AP risk. Serum acetate and H 2 S concentrations were significantly higher in the AP group ( P < 0.001 and P = 0.043, respectively). ML model had 96% predictive ability to distinguish AP patients from controls.

DISCUSSION

AP patients have decreased beneficial nutrient intake and gut microbiome diversity. An increased abundance of H 2 S-producing genera in the AP and SCFA-producing genera in the control group and predictive ability of ML model to distinguish AP patients indicates that diet, gut microbiota, and their end metabolites play a key role in AP.

A Case-CrossovEr study deSign to inform tailored interventions to prevent disease progression in Acute Pancreatitis (ACCESS-AP) - study design and population

BACKGROUND/OBJECTIVES

Alcohol is the most common etiology of recurrent acute pancreatitis and chronic pancreatitis. The extent and timing of drinking that increases the transient risk of acute pancreatitis is yet unknown.

METHODS

We designed a case-crossover study to determine the effective hazard period of drinking in relation to episodes of pancreatitis. We aim to evaluate the dose-response relationship between excess drinking and pancreatitis comparing the extent of drinking during case and control periods from the same individual. We aim to recruit 160 patients hospitalized with acute pancreatitis, whose AUDIT-C score reaches 3 or higher. Interviews of each enrolled patient to define their 15-day history of alcohol consumption employing the timeline follow-back method. Long-term drinking and smoking will be investigated as modifiers of the impact of short-term excess drinking. Patients are followed-up for evaluation of usual alcohol consumption during asymptomatic periods following the index hospitalization. Blood and urine specimens are collected while the patients are hospitalized and during a standard-of-care follow-up visit.

RESULTS

We have recruited 31 patients to date, with a median age of 33 years. Females and non-White participants make up 26% and 35% of the enrolled population, respectively. Forty-eight % of patients have had a prior history of acute pancreatitis.

CONCLUSIONS

Our study will shed light on the impact of short-term changes in drinking on triggering acute pancreatitis. It will provide data on other covarying factors of drinking and behaviors changes after acute pancreatitis.

Whitcomb DC; North American Pancreatitis Study Group. Pancreatitis: TIGAR-O Version 2 Risk/Etiology Checklist With Topic Reviews, Updates, and Use Primers. Clin Transl Gastroenterol. 2019;10:e00027. [PMID: 31166201 PMCID: PMC6613863 DOI: 10.14309/ctg.0000000000000027]

The Toxic-metabolic, Idiopathic, Genetic, Autoimmune, Recurrent and severe acute pancreatitis and Obstructive (TIGAR-O) Pancreatitis Risk/Etiology Checklist (TIGAR-O_V1) is a broad classification system that lists the major risk factors and etiologies of recurrent acute pancreatitis, chronic pancreatitis, and overlapping pancreatic disorders with or without genetic, immunologic, metabolic, nutritional, neurologic, metaplastic, or other features. New discoveries and progressive concepts since the 2001 TIGAR-O list relevant to understanding and managing complex pancreatic disorders require an update to TIGAR-O_V2 with both a short (S) and long (L) form. The revised system is designed as a hierarchical checklist for health care workers to quickly document and track specific factors that, alone or in combinations, may contribute to progressive pancreatic disease in individual patients or groups of patients and to assist in treatment selection. The rationale and key clinical considerations are summarized for each updated classification item. Familiarity with the structured format speeds up the completion process and supports thoroughness and consideration of complex or alternative diagnoses during evaluation and serves as a framework for communication. The structured approach also facilitates the new health information technologies that required high-quality data for accurate precision medicine. A use primer accompanies the TIGAR-O_V2 checklist with rationale and comments for health care workers and industries caring for patients with pancreatic diseases.