Does heart rate variability predict hypotension and bradycardia after induction of general anaesthesia in high risk cardiovascular patients?

Anaesthesia
R HanssB Bein

Abstract

This study investigated whether heart rate variability predicts haemodynamic events in high risk patients, defined as Revised Cardiac Risk Index score = 3, scheduled for general anaesthesia. Fifty patients underwent baseline measurement of heart rate variability and were then assigned according to haemodynamic events (hypotension or bradycardia) after standardised induction of anaesthesia into 'stable' (n = 39) and 'unstable' patients (n = 11). Unstable patients had significantly lower baseline total power. Total power < 500 ms2 x Hz(-1) was associated with high sensitivity and specificity for the prediction of hypotension or bradycardia. Prospectively, 29 patients with total power < 500 ms2 x Hz(-1) were compared with 21 patients with total power > 500 ms2 x Hz(-1). Differences were found in the lowest mean arterial pressure and heart rate after induction of anaesthesia. We conclude that the pre-operative total power of heart rate variability in high risk patients may indicate the occurrence of haemodynamic events with high sensitivity and specificity. Heart rate variability may be a suitable tool to identify patients at high risk of a haemodynamic event and may be used to indicate need for intensive monitoring and, perhaps, p...Continue Reading

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Citations

Mar 8, 2013·Clinical Autonomic Research : Official Journal of the Clinical Autonomic Research Society·Young-Kug KimRichard J Cohen
Sep 21, 2013·Journal of Clinical Monitoring and Computing·Youn Yi JoHyun Jeong Kwak
Jun 11, 2011·Acta Anaesthesiologica Scandinavica·Anna Teresa MazzeoL B Santamaria
Nov 15, 2013·Korean journal of anesthesiology·Tae Dong KweonYang-Sik Shin
Nov 15, 2013·Korean journal of anesthesiology·Sungsik Park
Jan 4, 2017·International Journal of Clinical Pharmacy·Maowei GongQiang Fu
Sep 30, 2010·Medical Decision Making : an International Journal of the Society for Medical Decision Making·Chao-Shun LinYu-Chuan Li
Jun 26, 2017·Journal of Clinical Monitoring and Computing·Takashi JuriKiyonobu Nishikawa
Nov 23, 2018·Journal of Clinical Monitoring and Computing·Ayhan KayduErhan Gökcek
Nov 1, 2017·European Journal of Anaesthesiology·Sander W M Keet, Christa Boer
Jan 16, 2016·Anesthesiology·Jie Zhang, Lester Augustus Hall Critchley
Oct 5, 2018·Journal of Clinical Monitoring and Computing·Maddalena ArdissinoMarcela Vizcaychipi

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