A prospective evaluation of the combined use of the modified Alvarado score with selective laparoscopy in adult females in the management of suspected appendicitis.
BACKGROUND
A diagnostic scoring system such as the modified Alvarado score, combined with selective laparoscopy in adult females, can be used in the assessment of acute abdominal pain suggestive of appendicitis.


METHODS
A total of 84 consecutive patients presenting to our surgical team with suspected appendicitis were assessed prospectively using the modified Alvarado score. The definitive management of this study group was instigated according to a set algorithm based on the score. The algorithm included the use of diagnostic laparoscopy in adult female patients with scores suggestive of appendicitis. A negative appendicectomy rate was obtained from those undergoing appendicectomy using this approach and compared to that obtained from the 97 patients that had undergone appendicectomy under the care of the other surgical teams in our unit during the study period.


RESULTS
The rate of negative appendicectomy in the study group was 0% compared to 18% in the control group (P < 0.05); 10% of adult female women had negative diagnostic laparoscopies for appendicitis thus saving this group an unnecessary appendicectomy. This was achieved without an increase in total in-patient stay.


CONCLUSIONS
An algorithm combining the modified Alvarado score with selective laparoscopy is recommended for widespread use in the management of suspected acute appendicitis.
Lamparelli
M J
MJ
Department of General Surgery, Crawley and Horsham NHS Trust, West Sussex, UK.
Hoque
H M
HM
Pogson
C J
CJ
Ball
A B
AB
D000208:Acute Disease; D000328:Adult; D000465:Algorithms; D001062:Appendectomy; D001064:Appendicitis / Q000175:diagnosis* / Q000601:surgery; D002648:Child; D003937:Diagnosis, Differential; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D010535:Laparoscopy; D008297:Male; D011446:Prospective Studies; D019564:Unnecessary Procedures / Q000706:statistics & numerical data