EEG-derived pain threshold index for prediction of postoperative pain in patients undergoing laparoscopic urological sur
- PDF / 4,141,609 Bytes
- 8 Pages / 595.276 x 790.866 pts Page_size
- 80 Downloads / 226 Views
ORIGINAL RESEARCH
EEG‑derived pain threshold index for prediction of postoperative pain in patients undergoing laparoscopic urological surgery: a comparison with surgical pleth index Ruijing Wang1 · Yixu Deng2 · Shoujing Zhou1 · Jun Zhang2,3 Received: 6 June 2020 / Accepted: 5 October 2020 © Springer Nature B.V. 2020
Abstract Recently a novel pain recognition indicator derived from electroencephalogram(EEG) signals, pain threshold index(PTI) has been developed. The aim of this study was to determine whether PTI can be used for prediction of postoperative acute pain while surgical pleth index(SPI) applied as control. Eighty patients undergoing laparoscopic urological surgery under general anesthesia were enrolled. Data of SPI, PTI and a sedative index-wavelet index(WLI) were recorded within last 10 min at the end of surgery. The postoperative pain scores (NRS, numerical rating scale) were obtained. The Bland–Altman analysis was used for evaluation of consistency between PTI and SPI, whereas receiver-operating characteristic (ROC) curves was used for the mean values of PTI, SPI, and WLI to distinguish between mild (NRS 0–3) and moderate-severe (NRS 4–10) pain, and calculate their “best-fit” cut-off values. Data from 76 patients were included for final analysis. There was a good agreement between SPI and PTI values at the end of surgery. The ROC analysis showed a cut-off PTI value of 53 to discriminate between mild and moderate-to-severe pain, while SPI is 44 for this discrimination. Further analysis indicated that PTI had a best predictive accuracy reflected by highest area under curve (AUC)(0.772, 95% CI: 0.661–0.860)with sensitivity(62.50%) and specificity(90.91%) and a best positive predictive value(83.3%,95% CI: 68.4–98.2%). PTI obtained at the end of surgery, which have better predictive accuracy for postoperative pain than SPI, could differentiate the patients with moderate-to-severe pain from those with mild pain after they awaken from anesthesia. Clinical trial registration Chinese Clinical Trials Registry: ChiCTR1900024789. Keywords Postoperative pain · Nociceptive stimuli · Pain threshold index · Surgical pleth index · Wavelet algorithm Ruijing Wang and Yixu Deng have contributed equally to this work. * Jun Zhang [email protected] Ruijing Wang [email protected] Yixu Deng [email protected] Shoujing Zhou [email protected] 1
Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai 200040, People’s Republic of China
2
Department of Anesthesiology, Shanghai Cancer Center, Fudan University, Shanghai 200032, People’s Republic of China
3
Department of Oncology, Shanghai Medical College, Fudan University, No.270 Dongan Road, Xuhui District, Shanghai 200032, People’s Republic of China
1 Introduction Postoperative pain is a unpleasant sensory and emotional experience in patients undergoing surgical procedures. It is reported that inadequate management of postoperative pain is common, often leading to moderate to severe in intensity [1, 2]. As postoperative pain can lead to pro
Data Loading...
