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Clinical Predictors

  • Rawad Mounzer
  • Georgios I. PapachristouEmail author
Chapter
  • 1.8k Downloads

Abstract

Acute pancreatitis is a highly dynamic disease process with broad variability in clinical outcomes ranging from self-limited disease to organ failure and mortality. Pancreatic injury can induce a systemic inflammatory response that, if left unmitigated, may lead to poor clinical outcomes. The early prediction of disease severity has been an area of ongoing research over the past few decades. Accurate prediction of disease severity enables physicians to triage patients to the appropriate level of care and guide clinical management early during the disease course. Multiple risk factors (increased age, obesity, alcohol consumption) and laboratory markers (elevated blood urea nitrogen, serum creatinine, hematocrit, C-reactive protein) have been identified as predictors of disease severity. Several clinical scoring systems that incorporate laboratory markers and risk factors have also been developed to help predict clinical outcomes. Additionally, radiographic scoring systems have been evaluated in predicting disease severity. Studies comparing these scoring systems revealed comparable performance characteristics among the different systems.

Keywords

Acute Pancreatitis Organ Failure Blood Urea Nitrogen Systemic Inflammatory Response Syndrome Pancreatic Necrosis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Gastroenterology, Hepatology and NutritionUniversity of Pittsburgh Medical CenterPittsburghUSA
  2. 2.Department of Gastroenterology, Hepatology and NutritionUniversity of Pittsburgh Medical CenterPittsburghUSA
  3. 3.Department of Gastroenterology, Hepatology and Nutrition, Veterans AffairsPittsburgh Healthcare SystemPittsburghUSA

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