Journal of clinical monitoring and computing
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J Clin Monit Comput · Aug 2020
Comparative StudyComparison of multiple cardiac signal acquisition technologies for heart rate variability analysis.
Heart rate variability analysis is a recognized non-invasive tool that is used to assess autonomic nervous system regulation in various clinical settings and medical conditions. A wide variety of HRV analysis methods have been proposed, but they all require a certain number of cardiac beats intervals. There are many ways to record cardiac activity: electrocardiography, phonocardiography, plethysmocardiography, seismocardiography. ⋯ We therefore tested the evolution of several HRV parameters computed from several sensors before, during and after a postural change. The main findings of our study is that even if most sensors were suitable for mean HR computation, some of them demonstrated limited agreement for several HRV analyses methods. We also demonstrated that piezoplethysmocardiography showed better agreement with ECG than other sensors for most HRV indexes.
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J Clin Monit Comput · Aug 2020
A novel method for transpulmonary pressure estimation using fluctuation of central venous pressure.
The objective of the study is to develop a correction method for estimating the change in pleural pressure (ΔPpl) and plateau transpulmonary pressure (PL) by using the change in central venous pressure (ΔCVP). Seven children (aged < 15 years) with acute respiratory failure (PaO2/FIO2 < 300 mmHg), who were paralyzed and mechanically ventilated with a PEEP of < 10 cmH2O and had central venous catheters and esophageal balloon catheters placed for clinical purposes, were enrolled prospectively. ⋯ The plateau PL calculated using the cΔCVP-derived ΔPpl (17.6 ± 2.6 cmH2O) correlated well with the ΔPes-derived plateau PL (18.1 ± 2.3 cmH2O) (R2 = 0.90, p = 0.001). Our correction method can estimate ΔPpl and plateau PL from ΔCVP with a reasonable accuracy in paralyzed and mechanically ventilated pediatric patients with respiratory failure.
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Given the number of clinical studies and meta-analyses investigating the impact of cardiac output-guided hemodynamic management on the postoperative outcome of patients undergoing high-risk surgery, clinicians should already have a fair idea of the clinical and economic benefits. However, this is still a matter of debate, there are still large outcome studies going on, and surveys and audits have shown that clinical adoption remains low. Rational patient selection, more affordable monitoring solutions, and the personalization of therapeutic strategies are desirable to ensure that cardiac output monitoring adds value and becomes part of the routine anesthesia management of high-risk surgical patients.
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J Clin Monit Comput · Aug 2020
Observational StudyPreoperative transcranial Doppler and cerebral oximetry as predictors of delirium following valvular heart surgery: a case-control study.
Delirium is a frequent and serious complication after cardiac surgery with cerebral hypoperfusion as one from the key pathophysiological mechanisms. Middle cerebral artery (MCA) mean blood flow velocity (MFV) measured by transcranial Doppler has been used as a marker of cerebral perfusion, and cerebral oximetry (rSO2) value as a marker of its adequacy. This prospective observational trial examined the predictive value of MCA MFV and rSO2, measured immediately before induction of anesthesia, for delirium after valvular heart surgery in elderly patients. ⋯ Preoperative statin use, geriatric depression scale score, and low preoperative rSO2 (< 60%) showed association with delirium occurrence in univariable analysis. After multivariable analysis, only the low preoperative rSO2 (< 60%) (OR 6.748, 95% CI 1.647-27.652, P = 0.008) remained as an independent predictor of delirium. Preoperative MCA MFV was not significantly associated with delirium after valvular heart surgery in elderly patients, while a low baseline rSO2 value was associated with a sevenfold increased risk of delirium.
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J Clin Monit Comput · Aug 2020
Facing SpO2 and SaO2 discrepancies in ICU patients: is the perfusion index helpful?
Peripheral oxygen saturation (SpO2) measured by pulse oximetry is an unreliable surrogate marker for arterial oxygenation (SaO2) in critically ill patients. We hypothesized that a higher perfusion index (PFI) would be associated with better accuracy of SpO2 measurement. We retrospectively collected SaO2, SpO2, and PFI data for each arterial blood gas (ABG) analysis in a cohort of intensive care unit patients. ⋯ The accuracy of pulse oximetry for estimating arterial oxygenation was moderate and improved little with increasing PFI values. Thus, the additive value of PFI in clinical decision making is limited. Therefore, we advise performing an ABG before adjusting fraction of inspired oxygen (FiO2) settings.