Comparison Between Revised Atlanta Classification and Determinant-Based Classification for Acute Pancreatitis in Intensive Care Medicine. Why Do Not Use a Modified Determinant-Based Classification?

Zubia-Olaskoaga, Félix; Maraví-Poma, Enrique; Urreta-Barallobre, Iratxe; Ramírez-Puerta, María-Rosario; Fariña, Mónica Mourelo; Marcos-Neira, María-Pilar

doi:10.1097/ccm.0000000000001565

Cited by 44 publications

(49 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The clinical impact of infected pancreatic necrosis may be different worldwide depending on the local healthcare setting. This theory is confirmed by the findings of a recent prospective international study that investigated the association between infected pancreatic necrosis and persistent organ failure in 374 patients in 46 ICUs 34. In this study, in patients with persistent organ failure but without infected pancreatic necrosis a 41% mortality was found as opposed to a mortality of 59% in those with infected pancreatic necrosis.…”

Section: Discussionsupporting

confidence: 78%

Impact of characteristics of organ failure and infected necrosis on mortality in necrotising pancreatitis

Schepers

Bakker²,

Besselink

et al. 2018

Gut

312

251

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 78%

Impact of characteristics of organ failure and infected necrosis on mortality in necrotising pancreatitis

Schepers

Bakker²,

Besselink

et al. 2018

Gut

312

251

View full text Add to dashboard Cite

show abstract

“…The utility of RAC and DBC to predict ICU admission is in agreement with literature [17,23,24]; however, the suggestion of using BISAP and PANC3 for a preliminary prediction is a new recommendation that should be further explored. We summarize our suggestions in the form of a diagnostic flowchart tool as shown in Figure 2.…”

Section: Discussionsupporting

confidence: 69%

Maximizing the Use of Scoring Systems in the Prediction of Outcomes in Acute Pancreatitis

et al. 2018

View full text Add to dashboard Cite

Background/Aims: No single classification system has so far effectively predicted the severity for Acute Pancreatitis (AP). This study compares the effectiveness of classification systems: Original Atlanta (OAC), Revised Atlanta (RAC), Determinant based classification (DBC), PANC 3, Harmless AP Score (HAPS), Japanese Severity Score (JSS), Symptoms Nutrition Necrosis Antibiotics and Pain (SNNAP), and Beside Index of Severity for AP (BISAP) in predicting outcomes in AP. Methods: Scores for BISAP, Panc 3, HAPS, SNNAP, OAC, RAC, and DBC were calculated for 221 adult patients hospitalized for AP. Receiver Operating Characteristic curve analysis and Akaike Information Criteria were used to compare the effectiveness of predicting need for surgery, intensive care unit (ICU) admission, readmission within 30 days, and length of hospital stay. Results: Both the RAC and the DBC strongly predict the length of hospital stay (p < 0.0001 for both) and ICU admission (p < 0.0001 for both). Additionally, both BISAP and PANC 3 showed weak predictive capacity at identifying length of stay and ICU admission. Conclusions: We suggest that BISAP and PANC3 be obtained within the initial 24 h of hospitalization to offer an early prediction of length of stay and ICU admission. Subsequently, RAC and DBC can offer further information later in the course of the disease.

show abstract

“…Although CRP is used to predict severity of disease, it did not identify patients with a high risk of dying in a recent study [13]. This may add new impetus to the search for prognostic biomarkers of acute pancreatitis resulting in simpler severity assessment strategies since current scoring systems are rather cumbersome [9,[46][47][48][49].…”

Section: Discussionmentioning

confidence: 99%

Serological diagnosis and prognosis of severe acute pancreatitis by analysis of serum glycoprotein 2

Roggenbuck

Goihl

Hanack

et al. 2017

Clinical Chemistry and Laboratory Medicine (CCLM)

View full text Add to dashboard Cite

Serological diagnosis and prognosis of severe acute pancreatitis by analysis of serum glycoprotein 2 DOI 10.1515/cclm-2016-0797 Received September 6, 2016 accepted October 10, 2016; previously published online November 12, 2016 Abstract Background: Glycoprotein 2 (GP2), the pancreatic major zymogen granule membrane glycoprotein, was reported to be elevated in acute pancreatitis in animal models. Methods: Enzyme-linked immunosorbent assays (ELISAs) were developed to evaluate human glycoprotein 2 isoform alpha (GP2a) and total GP2 (GP2t) as specific markers for acute pancreatitis in sera of 153 patients with acute pancreatitis, 26 with chronic pancreatitis, 125 with pancreatic neoplasms, 324 with non-pancreatic neoplasms, 109 patients with liver/biliary disease, 67 with gastrointestinal disease, and 101 healthy subjects. GP2a and GP2t levels were correlated with procalcitonin and C-reactive protein in 152 and 146 follow-up samples of acute pancreatitis patients, respectively.

show abstract

Comparison Between Revised Atlanta Classification and Determinant-Based Classification for Acute Pancreatitis in Intensive Care Medicine. Why Do Not Use a Modified Determinant-Based Classification?

Abstract: Modified Determinant-Based Classification identified four groups with different clinical presentation in patients with acute pancreatitis in ICU, with better discriminatory power in comparison to Determinant-Based Classification and Revised Atlanta Classification.

Cited by 44 publications

References 20 publications

Impact of characteristics of organ failure and infected necrosis on mortality in necrotising pancreatitis

Impact of characteristics of organ failure and infected necrosis on mortality in necrotising pancreatitis

Maximizing the Use of Scoring Systems in the Prediction of Outcomes in Acute Pancreatitis

Serological diagnosis and prognosis of severe acute pancreatitis by analysis of serum glycoprotein 2

Contact Info

Product

Resources

About