Journal of clinical monitoring and computing
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J Clin Monit Comput · Nov 2024
Characterization of the temporal profile of the antinociceptive effects of an intravenous bolus of ketamine using the analgesia nociception index in no-anesthetized adult patients.
An effect-site target-controlled infusion (TCI) would allow a more precise titration of intravenous analgesics effect. The analgesia nociception index (ANI) continuously monitors the analgesia/nociception balance during general anesthesia. This study aims to derive a PKPD model of ketamine antinociceptive effect using the Domino PK parameter set and the ANI response data in awake patients without other drugs affecting the ANI response. ⋯ Hysteresis was characterized, incorporating an estimated Keo of 0.238 (CI95% 0.20-0.28) min-1 to the described PK parameters set. The developed PKPD model, using Domino's PK parameters and the ANI response data, adequately characterized the temporal profile of ketamine's antinociceptive effect. The current estimated model parameters can be used to perform an effect-site TCI of ketamine for analgesic purposes.
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J Clin Monit Comput · Nov 2024
Avatar-based versus conventional patient monitoring with distant vision: a computer-based simulation study.
Patient monitoring in the perioperative setting can be challenging, especially when monitoring multiple patients simultaneously or managing dynamic situations that require movement around the operating room. We aimed to evaluate whether avatar-based patient monitoring, which presents vital signs in the form of changing colors, shapes and motion, improves remote vital sign recognition compared to conventional monitoring. We conducted a prospective, single-center, computer-based simulation study to evaluate how anesthesia providers recognize vital signs when using the Philips Visual Patient Avatar at different viewing distances (8 and 16 m) compared to conventional monitoring. ⋯ The correct recognition rate using the Visual Patient Avatar compared to conventional monitoring at 8 m was increased by 74% (rate ratio 1.74, 95% CI, 1.42 to 2.14, p < 0.001) and by 51% at 16-meter viewing distance (rate ratio 1.51, 95% CI, 1.23 to 1.87, p < 0.001). We observed scenario-specific superior performance for six vital signs at 8 m. The results provide empirical evidence that avatar-based monitoring can significantly improve the perception of vital signs when using distant vision.
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J Clin Monit Comput · Oct 2024
Nociception level index-directed superficial parasternal intercostal plane block vs erector spinae plane block in open-heart surgery: a propensity matched non-inferiority clinical trial.
This single-center study explored the efficacy of superficial parasternal intercostal plane block (SPIPB) versus erector spinae plane block (ESPB) in opioid-sparing within Nociception Level (NOL) index-directed anesthesia for elective open-heart surgery. After targeted propensity matching, 19 adult patients given general anesthesia with preincisional SPIPB were compared to 33 with preincisional ESPB. We hypothesized that SPIPB is non-inferior to ESPB in reducing total intraoperative fentanyl consumption, with a non-inferiority margin (δ) set at 0.1 mg. ⋯ The SPIPB group had a significantly higher average NOL index, p = 0.003, and greater NOL index variability, p = 0.027. This study could not demonstrate that SPIPB was inferior to ESPB for intraoperative fentanyl consumption. Significant differences were observed in secondary outcomes, with SPIPB leading to higher postoperative morphine use, higher pain scores, and reduced nociception control.
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J Clin Monit Comput · Oct 2024
Comparison of time-series models for predicting physiological metrics under sedation.
This study presents a comprehensive comparison of multiple time-series models applied to physiological metric predictions. It aims to explore the effectiveness of both statistical prediction models and pharmacokinetic-pharmacodynamic prediction model and modern deep learning approaches. Specifically, the study focuses on predicting the bispectral index (BIS), a vital metric in anesthesia used to assess the depth of sedation during surgery, using datasets collected from real-life surgeries. ⋯ The study emphasizes the importance of selecting and building appropriate time-series models to achieve accurate predictions in biomedical applications. This research provides insights to guide future efforts in improving vital sign prediction methodologies for clinical and research purposes. Clinically, with improvements in the prediction of physiological parameters, clinicians can be informed of interventions if an anomaly is detected or predicted.
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J Clin Monit Comput · Oct 2024
Improving quantitative neuromuscular monitoring: an education initiative on stimulating electrode placement.
Quantitative neuromuscular monitoring reduces the incidence of residual neuromuscular block, but broad acceptance of monitoring has been elusive despite recommendations for quantitative monitoring for decades. Acceptance of quantitative monitoring may, in part, be related to the quality of the data from monitoring systems. This evaluation explored proper stimulating electrode positioning for electromyographic (EMG) monitoring, the impact of an educational intervention on electrode positioning and anesthesia provider (anesthesiologist, resident, anesthetist) confidence in the monitoring data from the device. ⋯ There was a significant relationship between correct stimulating electrode placement and anesthesia provider confidence in the EMG derived data on neuromuscular block status. An educational intervention to improve EMG electrode positioning proved meaningful. It increased anesthesia provider confidence in the EMG derived data during anesthesia case management.