Nociception level response to calibrated stimulations in children: First assessment of the nociception level index in pediatric anesthesia

Assessment of the antinociceptive effect of a single fentanyl bolus dose in children: A pharmacokinetic and pharmacodynamic analysis based on the nociception level index during sevoflurane general anesthesia

BACKGROUND

The Nociception Level Index has shown benefits in estimating the nociception/antinociception balance in adults, but there is limited evidence in the pediatric population. Evaluating the index performance in children might provide valuable insights to guide opioid administration.

AIMS

To evaluate the Nociception Level Index ability to identify a standardized nociceptive stimulus and the analgesic effect of a fentanyl bolus. Additionally, to characterize the pharmacokinetic/pharmacodynamic relationship of fentanyl with the Nociception Level Index response during sevoflurane anesthesia.

METHODS

Nineteen children, 5.3 (4.1-6.7) years, scheduled for lower abdominal or urological surgery, were studied. After sevoflurane anesthesia and caudal block, a tetanic stimulus (50 Hz, 60 mA, 5 s) was performed in the forearm. Following the administration of fentanyl 2 μg/kg intravenous bolus, three similar consecutive tetanic stimuli were performed at 5-, 15-, and 30-min post-fentanyl administration. Changes in the Nociception Level Index, heart rate, mean arterial pressure, and bispectral index were compared in response to the tetanic stimuli. Fentanyl plasma concentrations and the Nociception Level Index data were used to elaborate a pharmacokinetic/pharmacodynamic model using a sequential modeling approach in NONMEM®.

RESULTS

After the first tetanic stimulus, both the Nociception Level Index and the heart rate increased compared to baseline (8 ± 7 vs. 19 ± 10; mean difference (CI95) -12(-18--6) and 100 ± 10 vs. 102 ± 10; -2(-4--0.1)) and decrease following fentanyl administration (19 ± 10 vs. 8 ± 8; 12 (5-18) and 102 ± 10 vs. 91 ± 11; 11 (7-16)). In subsequent tetanic stimuli, heart rate remained unchanged, while the Nociception Level Index progressively increased within 15 min to values similar to those before fentanyl. An allometric weight-scaled, 3-compartment model best characterized the pharmacokinetic profile of fentanyl. The pharmacokinetic/pharmacodynamic modeling analysis revealed hysteresis between fentanyl plasma concentrations and the Nociception Level Index response, characterized by plasma effect-site equilibration half-time of 1.69 (0.4-2.9) min. The estimated fentanyl C50 was 1.93 (0.73-4.2) ng/mL.

CONCLUSION

The Nociception Level Index showed superior capability compared to traditional hemodynamic variables in discriminating different nociception-antinociception levels during varying fentanyl concentrations in children under sevoflurane anesthesia.

Progress in the validation of nociception monitoring in guiding intraoperative analgesic therapy

PURPOSE OF REVIEW

This article summarizes the current level of validation for several nociception monitors using a categorized validation process to facilitate the comparison of performance.

RECENT FINDINGS

Nociception monitors improve the detection of a shift in the nociception and antinociception balance during anesthesia, guiding perioperative analgesic therapy. A clear overview and comparison of the validation process for these monitors is missing.

RESULTS

Within a 2-year time-frame, we identified validation studies for four monitors [analgesia nociception index (ANI), nociception level monitor (NOL), surgical pleth index (SPI), and pupillometry]. We categorized these studies in one out of six mandatory validation steps: developmental studies, clinical validation studies, pharmacological validation studies, clinical utility studies, outcome improvement studies and economical evaluation studies. The current level of validation for most monitors is mainly focused on the first three categories, whereas ANI, NOL, and SPI advanced most in the availability of clinical utility studies and provide confirmation of a clinical outcome improvement. Analysis of economical value for public health effects is not yet publicly available for the studied monitors.

SUMMARY

This review proposes a stepwise structure for validation of new monitoring technology, which facilitates comparison between the level of validation of different devices and identifies the need for future research questions.

Does heart rate variability using the Newborn Infant Parasympathetic Evaluation index identify postsurgical pain levels and emergence delirium in toddlers? A prospective observational study

PURPOSE

Children recovering from anesthesia commonly experience early postoperative negative behaviour, caused by pain and emergence delirium. Differentiating the two is challenging in young children. Perioperative pain influences the heart rate variability-derived Newborn Infant Parasympathetic Evaluation (NIPE) index and may also affect emergence delirium. We sought to investigate whether the perioperative NIPE index can discriminate between mild, moderate, or severe pain levels and can detect emergence delirium.

METHODS

This prospective observational study enrolled children aged three years or younger undergoing elective adenotonsillectomy, tonsillectomy, or adenoidectomy. The NIPE index, the Faces, Legs, Activity, Cry, Consolability (FLACC) score, and the Pediatric Anesthesia Emergence Delirium (PAED) score were recorded in the postanesthesia care unit (PACU). The primary aim was to investigate the relationship between the postoperative NIPE index and postoperative pain severity. The secondary aims were to evaluate the association between the NIPE index and emergence delirium (PAED ≥ 10) and its delirium-specific (ED-I) and pain-specific (ED-II) components.

RESULTS

Sixty-nine children were recruited. In the PACU, the mean (standard deviation [SD]) NIPE values in children experiencing moderate and severe pain were 50 (12) and 49 (14), respectively. These values were significantly lower than the mean (SD) value of 64 (13) observed in children with mild pain (mean difference moderate vs no/mild pain, -14; 95% confidence interval [CI], -17 to -11; P < 0.001, and mean difference severe vs no/mild pain, -17; 95% CI, -20 to -14; P < 0.001, respectively). The NIPE index was significantly lower in children experiencing pain-specific ED-II (mean [SD] NIPE instantaneous [NIPEi] for ED-II 49 [10] vs no ED-II 55 [13]; mean difference, -6; 95% CI, -11 to -2; P = 0.009). The NIPE index was unable to detect emergence delirium (mean [SD] NIPEi for ED, 54 [15] vs no ED, 51 [10]; mean difference, 3; 95% CI, -2 to 8; P = 0.23) or the delirium-specific component ED-I (mean [SD] NIPEi for ED-I, 55 [15] vs no ED-I, 51 [11]; mean difference, 4; 95% CI, 0 to 8; P = 0.06).

CONCLUSION

The NIPE index can identify moderate and severe postoperative pain after adenotonsillectomy but not emergence delirium in children aged three years and younger. This discrimination can be valuable in the early postoperative phase when the differentiation between pain and emergence delirium is difficult.

STUDY REGISTRATION

ClinicalTrials.gov ( NCT04909060 ); first submitted 26 May 2021.

Predicting postoperative pain in children: an observational study using the pain threshold Index

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 min 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 15-min 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[64-67]. 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.

[New Approaches in Perioperative Algesimetry]

The measurement of anaesthetic depth and muscle relaxation have been routine procedures during general anaesthesia for years. Quantification of intraoperative nociception, on the other hand, is still largely impossible. Various methods have been tested and commercialised for more than 10 years. However, a real breakthrough has not yet been achieved and the routine application of all methods available so far is not without problems. This article explains methodological similarities, but also points to specific aspects of various commercial solutions for perioperative algesimetry.