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Advanced statistical approaches for predicting pain after pediatric thoracotomy: a cross-sectional study using zero-inflated and Poisson models.
- Source :
- Journal of Anesthesia, Analgesia & Critical Care; 8/5/2024, Vol. 4 Issue 1, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Background: Thoracotomy is one of the surgical procedures most burdened by chronic post-operative pain. There is poor evidence regarding the possibility that even in pediatric patients, thoracotomy can be followed by post-operative pain. The primary objective of this analysis is to identify associations with home pain therapy, pain intensity, and possible protective factors acting on chronic pain in this population. Methods: A retrospective cross-sectional study was conducted at Ospedale Pediatrico Bambino Gesù IRCCS. The study included pediatric patients undergoing thoracotomy. For statistical analyses, a logistic model and a zero-inflated strategy were implemented to explore associations and predict factors related to home-based analgesic therapy and pain intensity. Results: Gender and age were identified as significant factors in the assignment of home therapy, with males having over seven times the risk compared to females (OR = 7.06, 95% CI = [2.11, 29.7]). At the last measurement, pain intensity was positively associated with age and the number of pain events during the week. Conclusions: The study highlights significant factors influencing post-thoracotomy pain management in pediatric patients. These findings underscore the importance of tailored pain management strategies that consider gender and age to improve post-operative care and outcomes in pediatric thoracotomy patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- POSTOPERATIVE pain
PAIN management
CHILD patients
POSTOPERATIVE care
CHRONIC pain
Subjects
Details
- Language :
- English
- ISSN :
- 27313786
- Volume :
- 4
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Anesthesia, Analgesia & Critical Care
- Publication Type :
- Academic Journal
- Accession number :
- 178836756
- Full Text :
- https://doi.org/10.1186/s44158-024-00188-w