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Published in: Journal of Clinical Monitoring and Computing 4/2017

01-08-2017 | Original Research

Sympatho-vagal balance, as quantified by ANSindex, predicts post spinal hypotension and vasopressor requirement in parturients undergoing lower segmental cesarean section: a single blinded prospective observational study

Authors: Anitha Prashanth, Murali Chakravarthy, Antony George, Rohini Mayur, Rajathadri Hosur, Sumant Pargaonkar

Published in: Journal of Clinical Monitoring and Computing | Issue 4/2017

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Abstract

Hypotension subsequent to spinal anesthesia occurs in a significant number of parturients undergoing lower segment caesarian section. Currently available methods to predict the incidence of hypotension, its severity and the outcome are sub-optimal. Many workers have used basal heart rate as one of the predictors. But using this method it is not possible to objectively analyze and predict the extent and severity of hypotension. We used an equipment measuring the level of sympatho-vagal balance, ANSiscope™, which derives these values from computed value of RR interval variability. We made a single measure of the value which was blinded to the patient and the anesthesiologist. We studied one hundred eight patients who underwent lower segment caesarian section under spinal anesthesia and found the variability of preoperative ANSindex (% activity displayed by the equipment) from 9 to 65 %. Higher ANSindex value was significantly associated with post spinal hypotension (p 0.017). A value of 24 % indicated the critical level above which hypotension appeared commonly. The ANSindex value might help anesthesiologist to anticipate and prepare for hypotension that is likely to ensue.
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Metadata
Title
Sympatho-vagal balance, as quantified by ANSindex, predicts post spinal hypotension and vasopressor requirement in parturients undergoing lower segmental cesarean section: a single blinded prospective observational study
Authors
Anitha Prashanth
Murali Chakravarthy
Antony George
Rohini Mayur
Rajathadri Hosur
Sumant Pargaonkar
Publication date
01-08-2017
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 4/2017
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-016-9906-9

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