Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

A Bhangu* (Corresponding Author), RIFT Study Group on behalf of the West Midlands Research Collaborative

*Corresponding author for this work

Research output: Contribution to journalArticle

14 Citations (Scopus)
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Abstract

BACKGROUND: Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis.

METHODS: A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16-45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis).

RESULTS: Some 5345 patients across 154 UK hospitals were identified, of which two-thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut-off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut-off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent).

CONCLUSION: Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision-making by identifying adults in the UK at low risk of appendicitis were identified.

Original languageEnglish
Pages (from-to)73-86
Number of pages14
JournalBritish Journal of Surgery
Volume107
Issue number1
Early online date3 Dec 2019
DOIs
Publication statusPublished - Jan 2020

Keywords

  • COMPUTER-AIDED DIAGNOSIS
  • SCORING SYSTEM
  • DECISION-MAKING
  • PRACTICAL SCORE
  • APPENDECTOMY
  • MULTICENTER
  • SURGERY
  • ULTRASONOGRAPHY
  • PERFORMANCE
  • LAPAROSCOPY

ASJC Scopus subject areas

  • Surgery

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  • Cite this

    Bhangu, A., & RIFT Study Group on behalf of the West Midlands Research Collaborative (2020). Evaluation of appendicitis risk prediction models in adults with suspected appendicitis. British Journal of Surgery, 107(1), 73-86. https://doi.org/10.1002/bjs.11440