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Dataset Information

Gut microbiota predicts severity and reveals novel metabolic signatures in acute pancreatitis.


ABSTRACT:

Objective

Early disease prediction is challenging in acute pancreatitis (AP). Here, we prospectively investigate whether the microbiome predicts severity of AP (Pancreatitis-Microbiome As Predictor of Severity; P-MAPS) early at hospital admission.

Design

Buccal and rectal microbial swabs were collected from 424 patients with AP within 72 hours of hospital admission in 15 European centres. All samples were sequenced by full-length 16S rRNA and metagenomic sequencing using Oxford Nanopore Technologies. Primary endpoint was the association of the orointestinal microbiome with the revised Atlanta classification (RAC). Secondary endpoints were mortality, length of hospital stay and severity (organ failure >48 hours and/or occurrence of pancreatic collections requiring interventio

SUBMITTER: Ammer-Herrmenau C 

PROVIDER: S-EPMC10894816 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature