Accuracy of surgeon prediction of appendicitis severity in pediatric patients.
Accuracy
Appendicitis
Diagnostic study
Nonoperative management
Pediatric
Journal
Journal of pediatric surgery
ISSN: 1531-5037
Titre abrégé: J Pediatr Surg
Pays: United States
ID NLM: 0052631
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
received:
29
10
2018
revised:
08
03
2019
accepted:
16
04
2019
pubmed:
18
5
2019
medline:
23
2
2020
entrez:
18
5
2019
Statut:
ppublish
Résumé
Clinical prediction of disease severity is important as one considers nonoperative management of simple appendicitis. This study assesses the accuracy of surgeons' prediction of appendicitis severity. From February to August 2016, pediatric surgeons at a single institution were asked to predict whether patients had simple or complex appendicitis preoperatively based on clinical data, imaging, and general assessment. Receiver operating characteristic curves were generated to determine area under the curve (AUC) and optimal cutoff points of clinical findings for diagnosing simple appendicitis. Outcomes included sensitivity and specificity of variables to identify simple appendicitis. Predictions were compared to operative findings using χ Of 125 cases (median age 9 years [IQR 7-13], 58% male), simple appendicitis was predicted in 77 (62%) and complex appendicitis in 48 (38%). Predictions were accurate in 59 (77%) simple cases and 45 (94%) complex cases. Although surgeon prediction was more accurate than individual imaging or clinical findings and was highly sensitive (95%) for diagnosing simple appendicitis, specificity was only 71%. Lower WBC (<15.5 × 10 While surgeon prediction of simple appendicitis is more accurate than ultrasound or clinical data alone, diagnostic accuracy is still limited. Prospective survey. II.
Identifiants
pubmed: 31097307
pii: S0022-3468(19)30301-X
doi: 10.1016/j.jpedsurg.2019.04.007
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2274-2278Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.