Literature DB >> 19963520

Validation of a graphic measurement of heart rate variability to assess analgesia/nociception balance during general anesthesia.

M Jeanne1, R Logier, J De Jonckheere, B Tavernier.   

Abstract

The optimization of analgesic drugs delivery during general anesthesia (GA) requires to evaluate the pain/analgesia balance. Heart Rate Variability (HRV) analysis has long been shown to measure the autonomic nervous system tone, which is strongly influenced by anesthetic drugs. Power spectrum measurements are widely used to assess HRV low (LF) and high frequency (HF) ranges, related to the sympathetic and parasympathetic systems. We have developed an original graphic measurement technique (EnvTOT) of the ventilatory influence on the RR series. Measurements on simulated RR series showed that the graphic assessment is independent from respiratory rate, while LF and HF spectral measurements are over- and underestimated for respiratory rates lower than 12 cycles min Clinical measurements on 49 patients during GA showed that normalized HF power was strongly related to hemodynamic responsiveness during GA, and was strongly correlated with normalized EnvTOT measurements. A real time computation of the RR series could therefore help medical staff to anticipate hemodynamic responsiveness and the analgesia/nociception balance during GA.

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Year:  2009        PMID: 19963520     DOI: 10.1109/IEMBS.2009.5332598

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  25 in total

1.  The effects of low-dose ketamine on the analgesia nociception index (ANI) measured with the novel PhysioDoloris™ analgesia monitor: a pilot study.

Authors:  Laurent Bollag; Clemens M Ortner; Srdjan Jelacic; Cyril Rivat; Ruth Landau; Philippe Richebé
Journal:  J Clin Monit Comput       Date:  2014-07-26       Impact factor: 2.502

2.  Analgesia Nociception Index: Heart Rate Variability Analysis of Emotional Status.

Authors:  Ruslan Abdullayev; Ercan Yildirim; Bulent Celik; Leyla Topcu Sarica
Journal:  Cureus       Date:  2019-04-02

3.  Evaluation of Surgical Pleth Index and Analgesia Nociception Index as surrogate pain measures in conscious postoperative patients: an observational study.

Authors:  Joo-Hyun Lee; Byung-Moon Choi; Yu-Ri Jung; Yong-Hun Lee; Ji-Yeon Bang; Gyu-Jeong Noh
Journal:  J Clin Monit Comput       Date:  2019-10-18       Impact factor: 2.502

Review 4.  The quantification and monitoring of intraoperative nociception levels in thoracic surgery: a review.

Authors:  Ismael Ghanty; Stefan Schraag
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

5.  Variations of the analgesia nociception index during general anaesthesia for laparoscopic abdominal surgery.

Authors:  M Jeanne; C Clément; J De Jonckheere; R Logier; B Tavernier
Journal:  J Clin Monit Comput       Date:  2012-03-28       Impact factor: 2.502

Review 6.  Analgesia nociception index and high frequency variability index: promising indicators of relative parasympathetic tone.

Authors:  Keisuke Yoshida; Shinju Obara; Satoki Inoue
Journal:  J Anesth       Date:  2022-10-22       Impact factor: 2.931

7.  Effect of Laryngeal Mask Airway Insertion on Parameters Derived From Catacrotic Phase of Photoplethysmography Under Different Concentrations of Remifentanil.

Authors:  Wanlin Chen; Ying Feng; Xinzhong Chen; Feng Jiang; Jiajun Miao; Shali Chen; Hang Chen
Journal:  IEEE J Transl Eng Health Med       Date:  2020-08-17       Impact factor: 3.316

8.  Prediction of hemodynamic reactivity using dynamic variations of Analgesia/Nociception Index (∆ANI).

Authors:  E Boselli; R Logier; L Bouvet; B Allaouchiche
Journal:  J Clin Monit Comput       Date:  2015-11-07       Impact factor: 2.502

9.  Impact of intravenous phenylephrine bolus administration on the nociceptive level index (NOL).

Authors:  Julien Raft; Marie-Andrée Coulombe; Etienne Renaud-Roy; Issam Tanoubi; Olivier Verdonck; Louis-Philippe Fortier; Fabien Espitalier; Philippe Richebe
Journal:  J Clin Monit Comput       Date:  2019-10-09       Impact factor: 2.502

10.  Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High Frequencies.

Authors:  Umberto Melia; Montserrat Vallverdú; Xavier Borrat; Jose Fernando Valencia; Mathieu Jospin; Erik Weber Jensen; Pedro Gambus; Pere Caminal
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

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