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
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

529-535

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Ann-Katrin Unglert (AK)

Department of Anesthesiology, University Hospital Zurich, Zurich, Switzerland.

Dirk Lehnick (D)

Department of Health Sciences and Health Policy, Universitat Luzern Kultur- und Sozialwissenschaftliche Fakultat, Luzern, Switzerland.

Philipp O Szavay (PO)

Department of Pediatric Surgery, Luzerner Kantonsspital Kinderspital, Spitalstrasse, Lucerne, Switzerland.

Sabine Zundel (S)

Department of Pediatric Surgery, Luzerner Kantonsspital Kinderspital, Spitalstrasse, Lucerne, Switzerland.

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Classifications MeSH