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      Comparison of Ranson, Glasgow, MOSS, SIRS, BISAP, APACHE-II, CTSI Scores, IL-6, CRP, and Procalcitonin in Predicting Severity, Organ Failure, Pancreatic Necrosis, and Mortality in Acute Pancreatitis

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          Abstract

          Background. Multifactorial scorings, radiological scores, and biochemical markers may help in early prediction of severity, pancreatic necrosis, and mortality in patients with acute pancreatitis (AP). Methods. BISAP, APACHE-II, MOSS, and SIRS scores were calculated using data within 24 hrs of admission, whereas Ranson and Glasgow scores after 48 hrs of admission; CTSI was calculated on day 4 whereas IL-6 and CRP values at end of study. Predictive accuracy of scoring systems, sensitivity, specificity, and positive and negative predictive values of various markers in prediction of severe acute pancreatitis, organ failure, pancreatic necrosis, admission to intensive care units and mortality were calculated. Results. Of 72 patients, 31 patients had organ failure and local complication classified as severe acute pancreatitis, 17 had pancreatic necrosis, and 9 died (12.5%). Area under curves for Ranson, Glasgow, MOSS, SIRS, APACHE-II, BISAP, CTSI, IL-6, and CRP in predicting SAP were 0.85, 0.75, 0.73, 0.73, 0.88, 0.80, 0.90, and 0.91, respectively, for pancreatic necrosis 0.70, 0.64, 0.61, 0.61, 0.68, 0.61, 0.75, 0.86, and 0.90, respectively, and for mortality 0.84, 0.83, 0.77, 0.76, 0.86, 0.83, 0.57, 0.80, and 0.75, respectively. Conclusion. CRP and IL-6 have shown a promising result in early detection of severity and pancreatic necrosis whereas APACHE-II and Ranson score in predicting AP related mortality in this study.

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          Most cited references25

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          Comparison of BISAP, Ranson's, APACHE-II, and CTSI scores in predicting organ failure, complications, and mortality in acute pancreatitis.

          Identification of patients at risk for severe disease early in the course of acute pancreatitis (AP) is an important step to guiding management and improving outcomes. A new prognostic scoring system, the bedside index for severity in AP (BISAP), has been proposed as an accurate method for early identification of patients at risk for in-hospital mortality. The aim of this study was to compare BISAP (blood urea nitrogen >25 mg/dl, impaired mental status, systemic inflammatory response syndrome (SIRS), age>60 years, and pleural effusions) with the "traditional" multifactorial scoring systems: Ranson's, Acute Physiology and Chronic Health Examination (APACHE)-II, and computed tomography severity index (CTSI) in predicting severity, pancreatic necrosis (PNec), and mortality in a prospective cohort of patients with AP. Extensive demographic, radiographic, and laboratory data from consecutive patients with AP admitted or transferred to our institution was collected between June 2003 and September 2007. The BISAP and APACHE-II scores were calculated using data from the first 24 h from admission. Predictive accuracy of the scoring systems was measured by the area under the receiver-operating curve (AUC). There were 185 patients with AP (mean age 51.7, 51% males), of which 73% underwent contrast-enhanced CT scan. Forty patients developed organ failure and were classified as severe AP (SAP; 22%). Thirty-six developed PNec (19%), and 7 died (mortality 3.8%). The number of patients with a BISAP score of > or =3 was 26; Ranson's > or =3 was 47, APACHE-II > or =8 was 66, and CTSI > or =3 was 59. Of the seven patients that died, one had a BISAP score of 1, two had a score of 2, and four had a score of 3. AUCs for BISAP, Ranson's, APACHE-II, and CTSI in predicting SAP are 0.81 (confidence interval (CI) 0.74-0.87), 0.94 (CI 0.89-0.97), 0.78 (CI 0.71-0.84), and 0.84 (CI 0.76-0.89), respectively. We confirmed that the BISAP score is an accurate means for risk stratification in patients with AP. Its components are clinically relevant and easy to obtain. The prognostic accuracy of BISAP is similar to those of the other scoring systems. We conclude that simple scoring systems may have reached their maximal utility and novel models are needed to further improve predictive accuracy.
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            Dynamic nature of early organ dysfunction determines outcome in acute pancreatitis.

            All patients with organ dysfunction are currently classified as having severe acute pancreatitis. The aim of this study was to characterize the systemic inflammatory response syndrome (SIRS) and early organ dysfunction in patients with acute pancreatitis and the relationship with overall mortality. Patients with predicted severe acute pancreatitis of less than 48 h duration had daily organ dysfunction scores and SIRS criteria calculated. These features were then correlated with outcome. Of 121 patients, 68 (56 per cent) did not develop organ dysfunction; only two of these patients died (mortality rate 3 per cent). Fifty-three (44 per cent) had early organ dysfunction, of whom 11 died (21 per cent). Organ dysfunction and persistent SIRS were both associated with an increased mortality rate, but on multivariate analysis only deteriorating organ dysfunction was an independent determinant of survival. Early organ dysfunction in acute pancreatitis usually resolves and in itself has no significant influence on mortality. In contrast, worsening organ dysfunction was associated with death in more than half of the patients (11 of 20); it is this group of patients who should be classified as having severe acute pancreatitis.
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              Prognostic factors in acute pancreatitis.

              Prognostic factor scoring systems provide one method of predicting severity of acute pancreatitis. This paper reports the prospective assessment of a system using nine factors available within 48 hours of admission. This assessment does not include patient data used to compile the system. Of 405 episodes of acute pancreatitis occurring in a seven year period, 72% had severity correctly predicted by the system; 31% of 131 episodes with three or more factors present were severe and 8% of 274 episodes with less than three factors were severe. Assessment of individual factors revealed only one which did not predict severity. A scoring system based on the other eight factors correctly predicted severity in 79% of episodes. Prognostic factor scoring systems (i) alert the clinician to potentially severe disease, (ii) allow comparison of severity within and between patient series and (iii) will allow rational selection of patients for trials of new treatment.
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                Author and article information

                Journal
                HPB Surg
                HPB Surg
                HPB
                HPB Surgery
                Hindawi Publishing Corporation
                0894-8569
                1607-8462
                2013
                24 September 2013
                : 2013
                : 367581
                Affiliations
                1Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Ultra Pradesh 221005, India
                2Department of Pathology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Ultra Pradesh 221005, India
                3Department of Radiodiagnosis, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Ultra Pradesh 221005, India
                4Department of Gastroenterology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Ultra Pradesh 221005, India
                Author notes

                Academic Editor: Attila Olah

                Article
                10.1155/2013/367581
                3800571
                24204087
                5534737f-d1fb-45d3-aa42-a0922d72f1e7
                Copyright © 2013 Ajay K. Khanna et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 May 2013
                : 28 August 2013
                Categories
                Research Article

                Surgery
                Surgery

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