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- W2025172273 abstract "We sought to develop a clinical predictive model for acute appendicitis and contrast it with current clinical practice.A prospective observational study of patients presenting with signs or symptoms consistent with acute appendicitis. Random-partition modeling was used to develop an appendicitis likelihood model (ALM).Four hundred thirty-nine patients were enrolled, 101 with appendicitis, and 338 with other diagnoses. The ALM classified patients as low likelihood if they had a white blood cell count <9,500 and either no right lower-quadrant tenderness or a neutrophil count <54%. Patients were classified as high likelihood if they had a white blood cell count >13,000 with rebound tenderness or both voluntary guarding and neutrophil count >82%. The ALM outperformed actual clinical practice with regard to missed appendicitis, negative laparotomies, and total number of imaging studies.The ALM may permit more judicious use of advanced radiographic imaging with lower nontherapeutic laparotomy rates." @default.
- W2025172273 created "2016-06-24" @default.
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- W2025172273 date "2006-04-01" @default.
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- W2025172273 title "Classifying patients suspected of appendicitis with regard to likelihood" @default.
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- W2025172273 doi "https://doi.org/10.1016/j.amjsurg.2005.08.031" @default.
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