scholarly journals Assessment of efficacy of IV ω-3 PUFA supplementation in patients of predicted severe acute pancreatitis using the positive predictive value of Balthazar score within 48 hours of onset

2016 ◽  
Vol 4 (6) ◽  
pp. 993-998
Author(s):  
Dr Prof. Shilpa Rao ◽  
◽  
Dr. Aditya Kunte ◽  
Keyword(s):  
Acute Pancreatitis ◽  
Positive Predictive Value ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
Pufa Supplementation

Diagnostic Accuracy of BISAP Score for Detecting Acute Pancreatitis Keeping Computed Tomography Severity Index as GS

2021 ◽  
Vol 15 (11) ◽  
pp. 3164-3165
Author(s):  
Mohammad Iltaf ◽  
Sana Akhtar ◽  
Dilaram Khan
Keyword(s):  
Computed Tomography ◽  
Acute Pancreatitis ◽  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
Gold Standard ◽  
Severity Index ◽  
Cross Sectional

Objective: To establish the diagnostic accuracy of BISAP in detecting the severe acute pancreatitis keeping computed tomography severity index as gold standard. Study Design: Cross-sectional study Place and Duration of Study: Department of Gastroenterology, Hayatabad Medical Complex, Peshawar from April 16th 2018 to 16th October 2018. Methodology: One hundred and twenty nine patients of age range of 18-60, of either gender having severe acute pancreatitis were included. While patients already diagnosed as severe acute pancreatitis and having known history of chronic pancreatitis were excluded. Patients were subjected to CT scan to confirm whether the severe acute pancreatitis is present or not. All CT scans were reported by single experiences radiologist. Results: There were 30.3% were males and 69.7% were females with mean age 42±11.03 years. BISAP had sensitivity 92.74%, specificity 80%, positive predictive value 99.13%, negative predictive value 20.76% and the overall diagnostic accuracy was 92.24%. Conclusion: BISAP had sensitivity 93.61%, specificity 100%, positive predictive value 100%, negative predictive value 40% and the overall diagnostic accuracy was 93.87% in severe acute pancreatitis keeping CT severity index as gold standard. Keywords: Accuracy, Severe acute pancreatitis, Computed tomography

VALUE OF COMBINATION OF HAP SCORE AND BISAP SCORE IN PREDICTING SEVERITY IN PATIENTS OF ACUTE PANCREATITIS

2019 ◽  
pp. 96-100
Author(s):  
Thi Ngoc Suong Le ◽  
Pham Chi Tran ◽  
Van Huy Tran
Keyword(s):  
Acute Pancreatitis ◽  
Positive Predictive Value ◽  
Roc Curve ◽  
Predictive Value ◽  
Prognostic Value ◽  
Acute Inflammation ◽  
Clinical Symptoms ◽  
Mortality Rates ◽  
Multiple Organ ◽  
Central Hospital

Acute pancreatitis (AP) is an acute inflammation of the pancreas, usually occurs suddenly with a variety of clinical symptoms, complications of multiple organ failure and high mortality rates. Objectives: To determine the value of combination of HAP score and BISAP score in predicting the severity of acute pancreatitis of the Atlanta 2012 Classification. Patients and Methods: 75 patients of acute pancreatitis hospitalized at Hue Central Hospital between March 2017 and July 2018; HAP and BISHAP score is calculated within the first 24 hours. The severity of AP was classified by the revised Atlanta criteria 2012. Results: When combining the HAP and BISAP scores in predicting the severity of acute pancreatitis, the area under the ROC curve was 0,923 with sensitivity value was 66.7%, specificity value was 97.1%; positive predictive value was 66.7%, negative predictive value was 97.1%. Conclusion: The combination of HAP and BISAP scores increased the sensitivity, predictive value, and prognostic value in predicting the severity of acute pancreatitis of the revised Atlanta 2012 classification in compare to each single scores. Key words: HAPscore, BiSAP score, acute pancreatitis, predicting severity

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 Positive predictive value of acute and chronic pancreatitis diagnoses in the Danish National Patient Registry: A validation study

2018 ◽  
Vol 48 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Jakob Kirkegård ◽  
Marie R. Mortensen ◽  
Ida R. Johannsen ◽  
Frank V. Mortensen ◽  
Deirdre Cronin-Fenton
Keyword(s):  
Acute Pancreatitis ◽  
Chronic Pancreatitis ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Medical Records ◽  
Patient Registry ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient ◽  
Acute And Chronic Pancreatitis

Aims: To examine the validity of the diagnoses of acute and chronic pancreatitis registered in the Danish National Patient Registry. Methods: We identified all patients in the Danish National Patient Registry admitted to two Danish hospitals with acute or chronic pancreatitis from 1996 to 2013. From this population, we randomly sampled 100 patients with acute pancreatitis and 100 patients with chronic pancreatitis. For each cohort, we computed the positive predictive values and associated 95% confidence intervals (CIs) for the discharge diagnosis of acute or chronic pancreatitis using medical records as the gold standard. Results: We identified 2617 patients with acute pancreatitis and 1284 patients with chronic pancreatitis discharged from either of the two hospitals during the study period. Of these, 776 (19.9%) had a diagnosis of both acute and chronic pancreatitis and are thus present in both cohorts. From the 200 sampled patients, a total of 138 (69.0%) medical records were available for review. The positive predictive value for a diagnosis of acute pancreatitis in the Danish National Patient Registry was 97.3% (95% CI 90.5–99.2%) and for chronic pancreatitis 83.1% (95% CI 72.2–90.3%). Conclusions: The validity of diagnoses of acute and chronic pancreatitis registered in the Danish National Patient Registry since 1996 is generally high.

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

Positive Predictive Value of ICD-9 Discharge Diagnosis of Acute Pancreatitis

Pancreas ◽  
2014 ◽  
Vol 43 (6) ◽  
pp. 969
Author(s):  
Amareshwar Podugu ◽  
Peter J.W. Lee ◽  
Amit Bhatt ◽  
Jordan Holmes ◽  
Rocio Lopez ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Discharge Diagnosis

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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