Evidence map›Paper›PMID 41174526›Full record

Observational studyBMC anesthesiology2025

Predictive value of surgical pleth index for early postoperative pain in children undergoing general anesthesia: a prospective observational study.

Lin Li, Qinghua Meng, Weizhi Zhang

Abstract readObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lin LiDepartment of Anesthesiology, Shanxi Provincial Children's Hospital, Taiyuan, China.
Qinghua MengDepartment of Anesthesiology, Shanxi Provincial Children's Hospital, Taiyuan, China.
Weizhi ZhangDepartment of Anesthesiology, Shanxi Provincial Children's Hospital, Taiyuan, China. zwzzwzjack@163.com.

Funding

Shanxi Province Natural Science Foundation Project 202203021221290
6 · The paper itself

Abstract

backgroundPostoperative pain is common in children during early recovering from general anesthesia, especially for pediatric patients undergoing adenotonsillectomy surgery. There is no valid tool to predict postoperative pain at present.

methodsOne hundred and fifty patients aged 4–8 years, scheduled to undergo adenotonsillectomy surgery were enrolled in the clinical trial. All patients were given intravenous general anesthesia and endotracheal intubation by the same pediatric anesthesiologist. Surgical pleth index (SPI) monitoring for each patient was performed from the same shared SpO2 measurement finger which was on the side opposite to the NIBP measurement through the CARESCAPE Monitor B650 (GE Healthcare, Helsinki, Finland). The SPI values, mean arterial pressure (MAP) and heart rate (HR) were recorded at each minute for five minutes immediately after surgery. The maximum values of SPI, MAP and HR (SPImax, MAPmax and HRmax respectively) were taken for analysis. Early postoperative pain was assessed for each patient using the modified Children’s Hospital of Eastern Ontario Pain Scale (CHEOPS) in postanesthesia care unit (PACU). Receiver-operating characteristics (ROC) curves and the associated areas under the curves (AUC) were computed to analyze the ability of SPI to predict early postoperative pain.

resultsOne hundred and thirty-two patients were included and analyzed finally. The SPImax, MAPmax and HRmax of the patients whose CHEOPS scores less than 4 were 43 ± 6, 58 ± 9mmHg and 90 ± 12 beat/min while of the patients whose CHEOPS scores equal or greater than 4 were 54 ± 8, 67 ± 11mmHg and 96 ± 13 beat/min respectively. The SPI (AUC: 0.84, 95% CI: 0.74–0.92, P < 0.001) had a good predictive value for postoperative moderate-to-severe pain compared with MAP (AUC: 0.53, 95% CI: 0.41–0.67, P = 0.58) and HR (AUC: 0.62, 95% CI: 0.46–0.76, P = 0.19). The best-fit (highest combined sensitivity and specificity ) cut-off values of SPI to distinguish mild pain from moderate-to-severe pain was 46 with the sensitivity of 79.4% and specificity of 87.8%.

conclusionsSPI can effectively predict the occurrence of early postoperative moderate-to-severe pain in pediatric patients undergoing adenotonsillectomy surgery under general anesthesia. SPI might be one reliable pain assessment tool to guide pediatric anesthesiologists for timely identification and management of postoperative pain.

trial registrationChinese Clinical Trial Registry, identifier: ChiCTR2200058658 (13/04/2022).

Indexed as

Anesthesia, GeneralPostoperative PainAdenoidectomyChildChild, PreschoolFemaleHeart RateHumansMalePain MeasurementPediatric AnesthesiaPredictive Value of TestsProspective StudiesROC CurveTonsillectomyAdenotonsillectomy surgeryChildrenGeneral anesthesiaPostoperative painSurgical pleth index

Identifiers

PMID41174526
PMCPMC12577150

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.