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10.1007/s00423-017-1581-x

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suck abstract from ncbi

pmid28434059
      Langenbecks+Arch+Surg 2017 ; 402 (5 ): 811-819
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  • Early warning score independently predicts adverse outcome and mortality in patients with acute pancreatitis #MMPMID28434059
  • Jones MJ ; Neal CP ; Ngu WS ; Dennison AR ; Garcea G
  • Langenbecks Arch Surg 2017[Aug]; 402 (5 ): 811-819 PMID28434059 show ga
  • PURPOSE: The aim of this study was to compare the prognostic value of established scoring systems with early warning scores in a large cohort of patients with acute pancreatitis. METHODS: In patients presenting with acute pancreatitis, age, sex, American Society of Anaesthesiologists (ASA) grade, Modified Glasgow Score, Ranson criteria, APACHE II scores and early warning score (EWS) were recorded for the first 72 h following admission. These variables were compared between survivors and non-survivors, between patients with mild/moderate and severe pancreatitis (based on the 2012 Atlanta Classification) and between patients with a favourable or adverse outcome. RESULTS: A total of 629 patients were identified. EWS was the best predictor of adverse outcome amongst all of the assessed variables (area under curve (AUC) values 0.81, 0.84 and 0.83 for days 1, 2 and 3, respectively) and was the most accurate predictor of mortality on both days 2 and 3 (AUC values of 0.88 and 0.89, respectively). Multivariable analysis revealed that an EWS ?2 was independently associated with severity of pancreatitis, adverse outcome and mortality. CONCLUSION: This study confirms the usefulness of EWS in predicting the outcome of acute pancreatitis. It should become the mainstay of risk stratification in patients with acute pancreatitis.
  • |Acute Disease [MESH]
  • |Adolescent [MESH]
  • |Adult [MESH]
  • |Aged [MESH]
  • |Aged, 80 and over [MESH]
  • |Female [MESH]
  • |Humans [MESH]
  • |Male [MESH]
  • |Middle Aged [MESH]
  • |Pancreatitis/*mortality/*surgery [MESH]
  • |Predictive Value of Tests [MESH]
  • |Prognosis [MESH]
  • |Retrospective Studies [MESH]
  • |Severity of Illness Index [MESH]


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