Evaluation of pre-induction dynamic arterial elastance as an adjustable predictor of post-induction hypotension: A prospective observational study

JOURNAL OF CLINICAL ANESTHESIA(2023)

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摘要
Study objective: Dynamic arterial elastance (Eadyn) has been suggested as a functional measure of arterial load. We aimed to evaluate whether pre-induction Eadyn can predict post-induction hypotension.Design: Prospective observational study. Patients: Adult patients undergoing general anesthesia with invasive and non-invasive arterial pressure moni-toring systems.Measurements: We collected invasive and non-invasive Eadyns (n = 38 in each), respectively. In both invasive and non-invasive Eadyns, pre-induction Eadyns were obtained during one-minute tidal and deep breathing in each patient before anesthetic induction. Post-induction hypotension was defined as a decrease of >30% in mean blood pressure from the baseline value or any absolute mean blood pressure value of <65 mmHg for 10 min after anesthetic induction. The predictabilities of Eadyns for the development of post-induction hypotension were tested using receiver-operating characteristic curve analysis.Main results: Invasive Eadyn during deep breathing showed significant predictability with an area under the curve (AUC) of 0.78 (95% Confidence interval [CI], 0.61-0.90, P = 0.001). But non-invasive Eadyn during tidal breathing (AUC = 0.66, 95% CI, 0.49-0.81, P = 0.096) and deep breathing (AUC = 0.53, 95% CI, 0.36-0.70, P = 0.75), and invasive Eadyn during tidal breathing (AUC = 0.66, 95% CI, 0.41-0.74, P = 0.095) failed to predict post-induction hypotension. Conclusion: In our study, invasive pre-induction Eadyn during deep breathing-could predict post-induction hy-potension. Despite its invasiveness, future studies will be needed to evaluate the usefulness of Eadyn as a pre-dictor of post-induction hypotension because it is an adjustable parameter.
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关键词
Arterial load,Dynamic arterial elastance,General anesthesia,Post-induction hypotension,Pulse pressure variation (PPV),Stroke volume variation (SVV)
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