scholarly journals Predictive value of the ratio of venoarterial PCO2 to arteriovenous O2 content difference for organ injury in patients with severe acute pancreatitis

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Yanli Meng ◽  
Yuhui Chen ◽  
Xu Sun ◽  
Zhenhua Shen ◽  
Lidan Zhu
Keyword(s):  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
Organ Injury ◽  
Content Difference

scholarly journals THE PANC 3 SCORE PREDICTING SEVERITY OF ACUTE PANCREATITIS

2016 ◽  
Vol 29 (1) ◽  
pp. 5-8 ◽  
Author(s):  
Murilo Gamba BEDUSCHI ◽  
André Luiz Parizi MELLO ◽  
Bruno VON-MÜHLEN ◽  
Orli FRANZON
Keyword(s):  
Acute Pancreatitis ◽  
Intensive Care ◽  
Length Of Stay ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
High Specificity ◽  
Daily Practice ◽  
Severe Form ◽  
Inclusion Criteria ◽  
Positive Score

Background: About 20% of cases of acute pancreatitis progress to a severe form, leading to high mortality rates. Several studies suggested methods to identify patients that will progress more severely. However, most studies present problems when used on daily practice. Objective: To assess the efficacy of the PANC 3 score to predict acute pancreatitis severity and its relation to clinical outcome. Methods: Acute pancreatitis patients were assessed as to sex, age, body mass index (BMI), etiology of pancreatitis, intensive care need, length of stay, length of stay in intensive care unit and mortality. The PANC 3 score was determined within the first 24 hours after diagnosis and compared to acute pancreatitis grade of the Revised Atlanta classification. Results: Out of 64 patients diagnosed with acute pancreatitis, 58 met the inclusion criteria. The PANC 3 score was positive in five cases (8.6%), pancreatitis progressed to a severe form in 10 cases (17.2%) and five patients (8.6%) died. Patients with a positive score and severe pancreatitis required intensive care more often, and stayed for a longer period in intensive care units. The PANC 3 score showed sensitivity of 50%, specificity of 100%, accuracy of 91.4%, positive predictive value of 100% and negative predictive value of 90.6% in prediction of severe acute pancreatitis. Conclusion: The PANC 3 score is useful to assess acute pancreatitis because it is easy and quick to use, has high specificity, high accuracy and high predictive value in prediction of severe acute pancreatitis.

scholarly journals Comparison of BISAP and Ranson’s score for predicting severe acute pancreatitis and establish the validity of BISAP score

2020 ◽  
Vol 7 (5) ◽  
pp. 1473
Author(s):  
Amulya Aggarwal ◽  
Alok V. Mathur ◽  
Ram K. Verma ◽  
Megha Gupta ◽  
Dheeraj Raj
Keyword(s):  
Acute Pancreatitis ◽  
Likelihood Ratio ◽  
Sensitivity And Specificity ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
Scoring System ◽  
Treatment Protocol ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Clinical Scoring

Background: Pancreatitis can lead to serious complications with severe morbidity and mortality. So an early, quick and accurate scoring system is necessary to stratify the patients according to their severity so as to enable early initiation of required management and care. Scoring system commonly used have some drawbacks. This study aimed to compare bedside index for severity in acute pancreatitis (BISAP) and Ranson’s score to predict severe acute pancreatitis and establish the validity of a simple and accurate clinical scoring system for stratifying patients.Methods: This is a prospective comparative study on 100 patients diagnosed with acute pancreatitis admitted in department of general surgery. Parameters included in the BISAP and Ranson’s criteria were studied at the time of admission and after 48 hours. Result of these two were compared with that of revised Atlanta classification.Results: As per the BISAP score, the sensitivity and specificity were 95.8 % (95% CI, 76.8-99.8), 94.7 % (95% CI, 86.3-98.3) whereas positive likelihood ratio, negative likelihood ratio 18.21 (95% CI, 6.9-47.44), 0.04 (95% CI, 0.01-0.30) and accuracy was 95 % (95% CI, 88.72%-98.36%). On using Ranson’s score, the sensitivity and specificity were 91.6 (95% CI, 71.5-98.5) and 89.4 (95% CI, 79.8-95) with a positive predictive value 8.71 (95% CI, 4.47-18.96) and negative predictive value of 0.09 (95% CI, 0.02-0.35) and accuracy of 90% (95% CI, 82.38%-95.10%)..Conclusions: BISAP score outperformed Ranson’s score in terms of Sensitivity and specificity of prediction of severe pancreatitis. The authors recommend inclusion of BISAP Scoring system in standard treatment protocol of management of acute pancreatitis.

scholarly journals Targeting neutrophil extracellular traps in severe acute pancreatitis treatment

2020 ◽  
Vol 13 ◽  
pp. 175628482097491
Author(s):  
Jing Hu ◽  
Hongxin Kang ◽  
Huan Chen ◽  
Jiaqi Yao ◽  
Xiaolin Yi ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Inflammatory Cells ◽  
Neutrophil Extracellular Traps ◽  
Multiple Organ ◽  
Organ Injury ◽  
Normal Tissues ◽  
Pathogen Invasion ◽  
Extracellular Traps ◽  
Abdominal Disease

Severe acute pancreatitis (SAP) is a critical abdominal disease associated with high death rates. A systemic inflammatory response promotes disease progression, resulting in multiple organ dysfunction. The functions of neutrophils in the pathology of SAP have been presumed traditionally to be activation of chemokine and cytokine cascades accompanying the inflammatory process. Recently, since their discovery, a new type of antimicrobial mechanism, neutrophil extracellular traps (NETs), and their role in SAP, has attracted widespread attention from the scientific community. Significantly different from phagocytosis and degranulation, NETs kill extracellular microorganisms by releasing DNA fibers decorated with granular proteins. In addition to their strong antimicrobial functions, NETs participate in the pathophysiological process of many noninfectious diseases. In SAP, NETs injure normal tissues under inflammatory stress, which is associated with the activation of inflammatory cells, to cause an inflammatory cascade, and SAP products also trigger NET formation. Thus, due to the interaction between NET generation and SAP, a treatment targeting NETs might become a key point in SAP therapy. In this review, we summarize the mechanism of NETs in protecting the host from pathogen invasion, the stimulus that triggers NET formation, organ injury associated with SAP involving NETs, methods to interrupt the harmful effects of NETs, and different therapeutic strategies to preserve the organ function of patients with SAP by targeting NETs.

Predictive value of apolipoprotein B and A-I ratio in severe acute pancreatitis

2018 ◽  
Vol 33 (2) ◽  
pp. 548-553 ◽  
Author(s):  
Ji Hye Huh ◽  
Saehyun Jung ◽  
Seung Kook Cho ◽  
Kyong Joo Lee ◽  
Jae Woo Kim
Keyword(s):  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
Apolipoprotein B

Protective Effects of Baicalin and Octreotide on Multiple Organ Injury in Severe Acute Pancreatitis

2007 ◽  
Vol 53 (2) ◽  
pp. 581-591 ◽  
Author(s):  
Xi Ping Zhang ◽  
Ling Zhang ◽  
Ping Yang ◽  
Rui Ping Zhang ◽  
Qi Hui Cheng
Keyword(s):  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Multiple Organ ◽  
Organ Injury ◽  
Protective Effects ◽  
Multiple Organ Injury

scholarly journals Macrophage migration inhibitory factor is an early marker of severe acute pancreatitis based on the revised Atlanta classification

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dingcheng Shen ◽  
Caixi Tang ◽  
Shuai Zhu ◽  
Gengwen Huang
Keyword(s):  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Migration Inhibitory Factor ◽  
Predictive Value ◽  
Macrophage Migration Inhibitory Factor ◽  
Serum Markers ◽  
Apache Ii ◽  
Inhibitory Factor ◽  
Macrophage Migration ◽  
Early Marker

Abstract Background Various serum markers for early identification of severe acute pancreatitis (SAP) have been studied. Serum macrophage migration inhibitory factor (MIF) was reported to be correlated with severity of acute pancreatitis (AP) based on the 1992 Atlanta classification. However, MIF has never been proven to be predictive of disease severity based on the revised Atlanta classification (RAC). The potential predictive value of MIF needs to be further validated. Methods Consecutive patients with AP within 48 h after symptom onset and 10 healthy control volunteers were enrolled prospectively. Serum MIF levels were measured by enzyme-linked immunosorbent assay (ELISA). The predictive value of MIF, clinical scores and other serum markers were determined. Results Among 143 patients with AP, there were 52 (36.4%), 65 (45.5%) and 26 (18.1%) with mild, moderate and severe disease based on the RAC respectively. Compared with healthy volunteers, serum levels of MIF were significantly higher in AP patients, especially those with SAP (P < 0.001). Multivariate regression analysis indicated that increased serum MIF (cut-off 2.30 ng/ml, OR = 3.16, P = 0.008), IL-6 (cut-off 46.8 pg/ml, OR = 1.21, P = 0.043), APACHE II score (cut-off 7.5, OR = 2.57, P = 0.011) and BISAP score (cut-off 1.5, OR = 1.01, P = 0.038) were independent risk factors for predicting SAP (P < 0.05). By using the area under the receiver operating characteristic (ROC) curve (AUC), MIF (AUC 0.950) demonstrated more excellent discriminative power for predicting SAP than APACHE II (AUC 0.899), BISAP (AUC 0.886), and IL-6 (AUC 0.826). Conclusions Serum MIF is a valuable early marker for predicting the severity of AP based on the RAC.

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