Literature DB >> 18822095

Use of heart rate variability analysis to determine the risk of cardiac ischaemia in high-risk patients undergoing general anaesthesia.

R Hanss1, D Block, M Bauer, C Ilies, A Magheli, H Schildberg-Schroth, J Renner, J Scholz, B Bein.   

Abstract

The aim of this study was to investigate the use of pre-operative heart rate variability analysis to predict postoperative cardiac events (identified by 24 h Holter-ECG recording and an increase of creatine kinase MB) in high-risk cardiac patients. Length of hospital stay, the incidence of postoperative cardiac ischaemia and cardiac events after discharge were recorded. Fifty patients were assigned by the presence of cardiac events and the heart rate variability in 17 patients with an event was compared with 33 patients without. Total power was identified as a predictive parameter. The usefulness of this test was assessed in a second group of 50 patients. The incidence of cardiac events detected by Holter-ECG recording or an increased creatine kinase MB was greater and the duration of hospital stay longer in the 26 patients with total power < 400 ms(2).Hz(-1) compared with those with total power > 400 ms(2).Hz(-1) (eight and four patients and 10 (7) days (mean (SD)), vs 1 (p < 0.05) and 0 (p < 0.05) patients and 6 (2) days (p < 0.05), respectively). The total power of high-risk cardiac patients predicted postoperative cardiac events and extended length of hospital stay.

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Year:  2008        PMID: 18822095     DOI: 10.1111/j.1365-2044.2008.05602.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  5 in total

1.  Low intraoperative heart rate volatility is associated with early postoperative mortality in general surgical patients: a retrospective case-control study.

Authors:  Yael Mandel-Portnoy; Matthew A Levin; Sameer Bansilal; Maria Suprun; Hung-Mo Lin; Lynne D Richardson; Gregory W Fischer; Jonathan L Halperin
Journal:  J Clin Monit Comput       Date:  2015-10-17       Impact factor: 2.502

2.  Exploiting time in electronic health record correlations.

Authors:  George Hripcsak; David J Albers; Adler Perotte
Journal:  J Am Med Inform Assoc       Date:  2011-11-23       Impact factor: 4.497

Review 3.  The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery.

Authors:  Lisette M Vernooij; Wilton A van Klei; Karel Gm Moons; Toshihiko Takada; Judith van Waes; Johanna Aag Damen
Journal:  Cochrane Database Syst Rev       Date:  2021-12-21

4.  Preoperative heart rate variability as a predictor of perioperative outcomes: a systematic review without meta-analysis.

Authors:  Mikkel Nicklas Frandsen; Jesper Mehlsen; Nicolai Bang Foss; Henrik Kehlet
Journal:  J Clin Monit Comput       Date:  2022-01-29       Impact factor: 1.977

5.  Non-invasive real-time autonomic function characterization during surgery via continuous Poincaré quantification of heart rate variability.

Authors:  Maddalena Ardissino; Nicoletta Nicolaou; Marcela Vizcaychipi
Journal:  J Clin Monit Comput       Date:  2018-10-03       Impact factor: 2.502

  5 in total

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