scholarly journals Study protocol P-MAPS: microbiome as predictor of severity in acute pancreatitis—a prospective multicentre translational study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
C. Ammer-Herrmenau ◽  
T. Asendorf ◽  
G. Beyer ◽  
S. M. Buchholz ◽  
S. Cameron ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Clinical Management ◽  
Length Of Hospital Stay ◽  
Scoring Systems ◽  
Inflammatory Disorder ◽  
Early Prediction ◽  
Metagenomic Sequencing ◽  
Alpha And Beta Diversity ◽  
Translational Study ◽  
Oxford Nanopore

Abstract Background Acute pancreatitis (AP) is an inflammatory disorder that causes a considerable economic health burden. While the overall mortality is low, around 20% of patients have a complicated course of disease resulting in increased morbidity and mortality. There is an emerging body of evidence that the microbiome exerts a crucial impact on the pathophysiology and course of AP. For several decades multiple clinical and laboratory parameters have been evaluated, and complex scoring systems were developed to predict the clinical course of AP upon admission. However, the majority of scoring systems are determined after several days and achieve a sensitivity around 70% for early prediction of severe AP. Thus, continued efforts are required to investigate reliable biomarkers for the early prediction of severity in order to guide early clinical management of AP patients. Methods We designed a multi-center, prospective clinical-translational study to test whether the orointestinal microbiome may serve as novel early predictor of the course, severity and outcome of patients with AP. We will recruit 400 AP patients and obtain buccal and rectal swabs within 72 h of admission to the hospital. Following DNA extraction, microbiome analysis will be performed using 3rd generation sequencing Oxford Nanopore Technologies (ONT) for 16S rRNA and metagenomic sequencing. Alpha- and beta-diversity will be determined and correlated to the revised Atlanta classification and additional clinical outcome parameters such as the length of hospital stay, number and type of complications, number of interventions and 30-day mortality. Discussion If AP patients show a distinct orointestinal microbiome dependent on the severity and course of the disease, microbiome sequencing could rapidly be implemented in the early clinical management of AP patients in the future. Trial registration: ClinicalTrials.gov Identifier: NCT04777812

Evaluation of Scoring Systems in the Early Prediction of Outcomes in Acute Pancreatitis

2017 ◽  
Vol 112 ◽  
pp. S13
Author(s):  
Rachel Gray ◽  
Joaquin Cagliani ◽  
Peter C. Nauka ◽  
Benjamin Villacres ◽  
Tabia Santos ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Scoring Systems ◽  
Early Prediction

A Comparative Evaluation of Radiologic and Clinical Scoring Systems in the Early Prediction of Severity in Acute Pancreatitis

2012 ◽  
Vol 107 (4) ◽  
pp. 612-619 ◽  
Author(s):  
Thomas L Bollen ◽  
Vikesh K Singh ◽  
Rie Maurer ◽  
Kathryn Repas ◽  
Hendrik W van Es ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Comparative Evaluation ◽  
Scoring Systems ◽  
Early Prediction ◽  
Clinical Scoring

Early prediction of outcomes in acute pancreatitis evaluation of current scoring systems

Pancreatology ◽  
2017 ◽  
Vol 17 (4) ◽  
pp. S54
Author(s):  
Horacio Rilo ◽  
Rachel Gray ◽  
Peter Nauka ◽  
Benjamin Villacres ◽  
Nibras Ahmed ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Scoring Systems ◽  
Early Prediction

Comparison of multifactor scoring systems and single serum markers for the early prediction of the severity of acute pancreatitis

2017 ◽  
Vol 32 (11) ◽  
pp. 1895-1901 ◽  
Author(s):  
Wen-Hua He ◽  
Yin Zhu ◽  
Yong Zhu ◽  
Qi Jin ◽  
Hong-Rong Xu ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Scoring Systems ◽  
Serum Markers ◽  
Early Prediction

scholarly journals Haemoconcentration as a predictor of severity in acute pancreatitis

2016 ◽  
Vol 4 (1) ◽  
pp. 3-7
Author(s):  
Tanka Prasad Bohara ◽  
Dimindra Karki ◽  
Anuj Parajuli ◽  
Shail Rupakheti ◽  
Mukund Raj Joshi
Keyword(s):  
Acute Pancreatitis ◽  
Pearson Correlation ◽  
Characteristic Curve ◽  
Scoring Systems ◽  
Cost Effective ◽  
Receiver Operator Characteristic Curve ◽  
First Episode ◽  
P Value ◽  
Receiver Operator Characteristic ◽  
Chi Square

Background: Acute pancreatitis is usually a mild and self-limiting disease. About 25 % of patients have severe episode with mortality up to 30%. Early identification of these patients has potential advantages of aggressive treatment at intensive care unit or transfer to higher centre. Several scoring systems are available to predict severity of acute pancreatitis but are cumbersome, take 24 to 48 hours and are dependent on tests that are not universally available. Haematocrit has been used as a predictor of severity of acute pancreatitis but some have doubted its role.Objectives: To study the significance of haematocrit in prediction of severity of acute pancreatitis.Methods: Patients admitted with first episode of acute pancreatitis from February 2014 to July 2014 were included. Haematocrit at admission and 24 hours of admission were compared with severity of acute pancreatitis. Mean, analysis of variance, chi square, pearson correlation and receiver operator characteristic curve were used for statistical analysis.Results: Thirty one patients were included in the study with 16 (51.61%) male and 15 (48.4%) female. Haematocrit at 24 hours of admission was higher in severe acute pancreatitis (P value 0.003). Both haematocrit at admission and at 24 hours had positive correlation with severity of acute pancreatitis (r: 0.387; P value 0.031 and r: 0.584; P value 0.001) respectively.Area under receiver operator characteristic curve for haematocrit at admission and 24 hours were 0.713 (P value 0.175, 95% CI 0.536 - 0.889) and 0.917 (P value 0.008, 95% CI 0.813 – 1.00) respectively.Conclusion: Haematocrit is a simple, cost effective and widely available test and can predict severity of acute pancreatitis.Journal of Kathmandu Medical College, Vol. 4(1) 2015, 3-7

scholarly journals SARS-CoV-2 infection in acute pancreatitis increases disease severity and 30-day mortality: COVID PAN collaborative study

Gut ◽  
2021 ◽  
pp. gutjnl-2020-323364
Author(s):  
Sanjay Pandanaboyana ◽  
John Moir ◽  
John S Leeds ◽  
Kofi Oppong ◽  
Aditya Kanwar ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Hospital Stay ◽  
Organ Failure ◽  
Collaborative Study ◽  
Length Of Hospital Stay ◽  
Secondary Outcome ◽  
Icu Admission ◽  
Local Complications ◽  
Persistent Organ Failure ◽  
Increased Risk

ObjectiveThere is emerging evidence that the pancreas may be a target organ of SARS-CoV-2 infection. This aim of this study was to investigate the outcome of patients with acute pancreatitis (AP) and coexistent SARS-CoV-2 infection.DesignA prospective international multicentre cohort study including consecutive patients admitted with AP during the current pandemic was undertaken. Primary outcome measure was severity of AP. Secondary outcome measures were aetiology of AP, intensive care unit (ICU) admission, length of hospital stay, local complications, acute respiratory distress syndrome (ARDS), persistent organ failure and 30-day mortality. Multilevel logistic regression was used to compare the two groups.Results1777 patients with AP were included during the study period from 1 March to 23 July 2020. 149 patients (8.3%) had concomitant SARS-CoV-2 infection. Overall, SARS-CoV-2-positive patients were older male patients and more likely to develop severe AP and ARDS (p<0.001). Unadjusted analysis showed that SARS-CoV-2-positive patients with AP were more likely to require ICU admission (OR 5.21, p<0.001), local complications (OR 2.91, p<0.001), persistent organ failure (OR 7.32, p<0.001), prolonged hospital stay (OR 1.89, p<0.001) and a higher 30-day mortality (OR 6.56, p<0.001). Adjusted analysis showed length of stay (OR 1.32, p<0.001), persistent organ failure (OR 2.77, p<0.003) and 30-day mortality (OR 2.41, p<0.04) were significantly higher in SARS-CoV-2 co-infection.ConclusionPatients with AP and coexistent SARS-CoV-2 infection are at increased risk of severe AP, worse clinical outcomes, prolonged length of hospital stay and high 30-day mortality.

Sign in / Sign up

Export Citation Format

Share Document