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ORIGINAL RESEARCH article

Front. Pediatr.
Sec. Pediatric Surgery
Volume 12 - 2024 | doi: 10.3389/fped.2024.1398182

Predicting Postoperative Pain in Children: An Observational Study Using the Pain Threshold Index

Provisionally accepted
Zenghui Liang Zenghui Liang Yanle Xie Yanle Xie Shuhan Chen Shuhan Chen Jing Liu Jing Liu *Huimin Lv Huimin Lv *Bertrand-Geoffrey Muhoza Bertrand-Geoffrey Muhoza *Fei Xing Fei Xing *Yuanyuan Mao Yuanyuan Mao XIN WEI XIN WEI Na Xing Na Xing *Jian-Jun Yang Jian-Jun Yang Zhongyu Wang Zhongyu Wang *Jingjing Yuan Jingjing Yuan *
  • Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

The final, formatted version of the article will be published soon.

    Objective: While the pain threshold index (PTI) holds potential as a tool for monitoring analgesia-pain equilibrium, its precision in forecasting postoperative pain in children remains unconfirmed. This study's primary aim was to assess the PTI's predictive precision for postoperative pain. Methods: Children (aged 2-16 years) undergoing general surgery under general anesthesia were included. Within 5 minutes prior to the patient's emergence from surgery, data including PTI, wavelet index (WLI), heart rates (HR) and mean arterial pressure (MAP) were collected. Subsequently, a 15minute pain assessment was conducted following the patient's awakening. The accuracy of these indicators in discerning between mild and moderate to severe postoperative pain was evaluated through receiver operating characteristic (ROC) analysis. Results: The analysis encompassed data from 90 children. ROC analysis showed that PTI was slightly better than HR, MAP and WLI in predicting postoperative pain, but its predictive value was limited. The area under the curve (AUC) was 0.659 [0.537 ~ 0.780] and the optimal threshold was 65 [64][65][66][67]. Sensitivity and specificity were determined at 0.90 and 0.50, respectively. In a multivariable logistic regression model, a higher predictive accuracy was found for a multivariable predictor combining PTI values with gender, BMI, HR and MAP (AUC, 0.768; 95%CI, 0.669-0.866). Upon further scrutinizing the age groups, PTI's AUC was 0.796 for children aged 9-16, 0.656 for those aged 4-8, and 0.601 for younger individuals. Conclusions: PTI, when used alone, lacks acceptable accuracy in predicting postoperative pain in children aged 2 to 16 years. However, when combined with other factors, it shows improved predictive accuracy. Notably, PTI appears to be more accurate in older children.

    Keywords: Children, perioperative analgesia monitoring, pain threshold index, wavelet index, Pain

    Received: 09 Mar 2024; Accepted: 03 Jul 2024.

    Copyright: © 2024 Liang, Xie, Chen, Liu, Lv, Muhoza, Xing, Mao, WEI, Xing, Yang, Wang and Yuan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Jing Liu, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
    Huimin Lv, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
    Bertrand-Geoffrey Muhoza, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
    Fei Xing, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
    Na Xing, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
    Zhongyu Wang, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
    Jingjing Yuan, Department of Anesthesiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

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