A Novel Tool to Predict Postoperative Opioid Need after Laparoscopic Appendectomy in Children: A Step toward Evidence-Based Pain Management.
Journal
European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
ISSN: 1439-359X
Titre abrégé: Eur J Pediatr Surg
Pays: United States
ID NLM: 9105263
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
pubmed:
10
3
2022
medline:
19
11
2022
entrez:
9
3
2022
Statut:
ppublish
Résumé
Optimizing postoperative pain treatment is essential to minimize morbidity, lower costs, and ensure patient and parent satisfaction. This study aims at identifying pre- and intraoperative parameters predicting opioid needs after laparoscopic appendectomy to enable timely and adequate postoperative pain control. A retrospective analysis of patients treated with laparoscopic appendectomy for appendicitis between January 2018 and March 2019 was performed. Multiple logistic regression was applied to identify predictors of opioid demand. Based on our analysis, we developed a prediction tool for opioid requirements after laparoscopic appendectomies in children. The integrated parameters are: presence of turbid fluid, age, white-blood-cell count, symptom duration, and body temperature. We developed an algorithm-based predictor tool that has the potential to better anticipate postoperative pain and, thereby, optimize pain management following laparoscopic appendectomies in children. The proposed predictor tool will need validation through further prospective studies.
Sections du résumé
BACKGROUND
BACKGROUND
Optimizing postoperative pain treatment is essential to minimize morbidity, lower costs, and ensure patient and parent satisfaction. This study aims at identifying pre- and intraoperative parameters predicting opioid needs after laparoscopic appendectomy to enable timely and adequate postoperative pain control.
MATERIALS AND METHODS
METHODS
A retrospective analysis of patients treated with laparoscopic appendectomy for appendicitis between January 2018 and March 2019 was performed. Multiple logistic regression was applied to identify predictors of opioid demand.
RESULTS
RESULTS
Based on our analysis, we developed a prediction tool for opioid requirements after laparoscopic appendectomies in children. The integrated parameters are: presence of turbid fluid, age, white-blood-cell count, symptom duration, and body temperature.
CONCLUSION
CONCLUSIONS
We developed an algorithm-based predictor tool that has the potential to better anticipate postoperative pain and, thereby, optimize pain management following laparoscopic appendectomies in children. The proposed predictor tool will need validation through further prospective studies.
Identifiants
pubmed: 35263775
doi: 10.1055/s-0042-1744148
doi:
Substances chimiques
Analgesics, Opioid
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
529-535Informations de copyright
Thieme. All rights reserved.
Déclaration de conflit d'intérêts
None declared.