World Journal of Surgery

, Volume 39, Issue 1, pp 104–109 | Cite as

Predicting Acute Appendicitis? A comparison of the Alvarado Score, the Appendicitis Inflammatory Response Score and Clinical Assessment

  • D. Kollár
  • D. P. McCartanEmail author
  • M. Bourke
  • K. S. Cross
  • J. Dowdall
Original Scientific Report



Patients presenting with suspected appendicitis pose a diagnostic challenge. The appendicitis inflammatory response (AIR) score has outperformed the Alvarado score in two retrospective studies. The aim of this study was to evaluate the AIR Score and compare its performance in predicting risk of appendicitis to both the Alvarado score and the clinical impression of a senior surgeon.


All parameters included in the AIR and Alvarado scores as well as the initial clinical impression of a senior surgeon were prospectively recorded on patients referred to the surgical on call team with acute right iliac fossa pain over a 6-month period. Predictions were correlated with the final diagnosis of appendicitis.


Appendicitis was the final diagnosis in 67 of 182 patients (37 %). The three methods of assessment stratified similar proportions (~40 %) of patients to a low probability of appendicitis (p = 0.233) with a false negative rate of <8 % that did not differ between the AIR score, Alvarado score or clinical assessment. The AIR score assigned a smaller proportion of patients to the high probability zone than the Alvarado score (14 vs. 45 %) but it did so with a substantially higher specificity (97 %) and positive predictive value (88 %) than the Alvarado score (76 and 65 %, respectively).


The AIR score is accurate at excluding appendicitis in those deemed low risk and more accurate at predicting appendicitis than the Alvarado score in those deemed high risk. Its use as the basis for selective CT imaging in those deemed medium risk should be considered.


Appendicitis Acute Appendicitis False Negative Rate Negative Appendectomy Clinical Prediction Rule 
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.



We wish to acknowledge the invaluable assistance of Dr Michael Harrison (Waterford Institute of Technology) for the statistical support for calculation of ROC curves and McNemars test.

Conflicts of interest

The authors have no conflicts of interest to declare.


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Copyright information

© Société Internationale de Chirurgie 2014

Authors and Affiliations

  • D. Kollár
    • 1
  • D. P. McCartan
    • 1
    Email author
  • M. Bourke
    • 1
  • K. S. Cross
    • 1
  • J. Dowdall
    • 1
  1. 1.Department of SurgeryWaterford Regional HospitalWaterfordRepublic of Ireland

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