Postsurgical pain intensity in children on the VAS and FLACC scale across various analgesic techniques. Mathematical prediction as a component of justification
DOI:
https://doi.org/10.15587/2519-4798.2024.301990Keywords:
local anesthetics, pain, regional analgesia, mathematical predictionAbstract
Nowadays, in pediatric practice, the Visual Analogue Scale (VAS) and the Face, Legs, Activity, Cry, Consolability (FLACC) scale are effective for assessing postsurgical pain. The modern concept of pain management includes a multimodal approach, including regional analgesia techniques.
The aim of the study was to present a mathematical model to assess the efficacy of regional analgesia techniques in managing postsurgical pain intensity on the VAS and FLACC scale up to the fifth day of the study and predict the behaviour of the experimental data function up to day 87 following surgery using the autoregressive probability model.
Materials and Methods. 89 patients operated on the anterior abdominal wall were divided into 3 groups depending on the type of anesthesia. The assessment of pain management quality and the presence of acute pain was conducted using the VAS and FLACC scale on days 1, 2, 3, and 5 post-operatively in all children. The ‘predict’ function in РТС MathCad Prime 7.0. software was used to automate calculating predictions based on the Burg method.
Results. Studying the efficiency of the proposed treatment using regional analgesia techniques versus conventional analgesia enabled the prediction of varying postsurgical pain intensities on the VAS and FLACC scale based on their mathematical models, with coefficient of determination R2=0.9876, R2= 0, 9827, R2=0.9952 for the FLACC scale and R2=0.9868, R2=0,915, R2=0.9774 for the VAS.
Conclusions. The use of regional analgesia techniques in children undergoing anterior abdominal wall surgery has been confirmed to be associated with a significant reduction in postsurgical pain intensity to the fifth day of observation and predicted to remain so up to day 87
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