ArticleJournal of clinical monitoring and computing2024
Heart rate variability as a predictor of intraoperative autonomic nervous system homeostasis.
Article in Journal of clinical monitoring and computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Depth of anesthesia monitoring: Current evidence, clinical impact, and future directions.The Journal of international medical research · 2026Review
- Machine learning of intraoperative variables to test feasibility of multivariable prediction modelling for postoperative complications in thoracic surgery: a prospective cohort study.Journal of thoracic disease · 2026Article
- The ANI monitor's "Energy" variable detects autonomic state modification during general anesthesia, sedation and spinal anesthesia: a retrospective cohort study.Journal of clinical monitoring and computing · 2026Article
- The Role of Biomarkers in Personalized Anesthesia: From Physiological Parameters to Molecular Diagnostics.Biomedicines · 2026Review
- Correlation Analysis of Sleep Quality and Heart Rate Variability in Patients Undergoing Cardiac Surgery: A Prospective Observational Cohort Study.International journal of general medicine · 2026Article
- Interpreting heart rate variability: addressing the role of anesthesia and pain.Journal of clinical monitoring and computing · 2025Article
- Sevoflurane reduces cardiomyocyte injury in a hypoxia/reoxygenation model of cardiomyocytes through the linc01278/miR-134-5pt regulatory axis.BMC pharmacology & toxicology · 2025Article
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5 authors.
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Abstract
The aim of the proof-of-concept study is to investigate the level of concordance between the heart rate variability (HRV), the EEG-based Narcotrend Index as a surrogate marker for the depth of hypnosis, and the minimal alveolar concentration (MAC) of the inhalation anesthetic sevoflurane across the entire course of a surgical procedure. This non-blinded cross-sectional study recorded intraoperative HRV, Narcotrend Index, and MAC in 31 male patients during radical prostatectomy using the Da-Vinci robotic-assisted surgical system at Mannheim University Medical Center. The degree of concordance was calculated using repeated measures correlation with the R package (rmcorr) and presented using the rmcorr coefficient (rrm). The Narcotrend Index correlates significantly across all measures with the time-dependent parameter of HRV, the standard deviation of the means of RR intervals (SDNN) (rrm = 0.2; p < 0.001), the frequency-dependent parameters low frequency (LF) (rrm = 0.09; p = 0.04) and the low frequency/high frequency ratio (LF/HF ratio) (rrm = 0.11; p = 0.002). MAC correlated significantly negatively with the time-dependent parameter of heart rate variability, SDNN (rrm = -0.28; p < 0.001), the frequency-dependent parameter LF (rrm = -0.06; p < 0.001) and the LF/HF ratio (rrm = -0.18; p < 0.001) and the Narcotrend Index (rrm = -0.49; p < 0.001) across all measures. HRV mirrors the trend of the Narcotrend Index used to monitor depth of hypnosis and the inhibitory influence of the anesthetic sevoflurane on the autonomic nervous system. Therefore, HRV can provide essential information about the homeostasis of the autonomic nervous system during general anesthesia. DRKS00024696, March 9th, 2021.
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