Journal of clinical monitoring and computing
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J Clin Monit Comput · Aug 2014
Controlled Clinical TrialRight ventricular function in late-onset Pompe disease.
Pompe's disease is a glycogen storage disease (type II) characterized by inherited autosomal recessive transmission. The right ventricular (RV) function is a determinant parameter of clinical outcome in patients with heart failure. We sought to characterize the RV function using Doppler-echocardiography completed by Doppler tissular imaging and tricuspid annular plane systolic excursion (TAPSE) measurement. ⋯ Mean peak systolic RV velocity Sm was not significantly different in the two groups (17.11 ± 3.4 cm/s in Pompe disease vs 16.14 ± 3.8 cm/s in control group p = 0.61). Mean peak early diastolic Ea velocity in the RV were not significantly different in the two groups (15.6 ± 5.6 vs 18.2 ± 4.9 cm/s p = 0.34). According to our data, RV systolic function seems preserved in late-onset Pompe disease.
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J Clin Monit Comput · Aug 2014
Poincaré plot analysis of autocorrelation function of RR intervals in patients with acute myocardial infarction.
The Poincaré plot of RR intervals (RRI) is obtained by plotting RRIn+1 against RRIn. The Pearson correlation coefficient (ρRRI), slope (SRRI), Y-intercept (YRRI), standard deviation of instantaneous beat-to-beat RRI variability (SD1RR), and standard deviation of continuous long-term RRI variability (SD2RR) can be defined to characterize the plot. Similarly, the Poincaré plot of autocorrelation function (ACF) of RRI can be obtained by plotting ACFk+1 against ACFk. ⋯ The ρACF and SACF correlated significantly and negatively with normalized high-frequency power (nHFP), and significantly and positively with normalized very low-frequency power (nVLFP) of heart rate variability in both groups of patients. On the contrary, the RMSSDACF/SDACF and SD1ACF/SD2ACF correlated significantly and positively with nHFP, and significantly and negatively with nVLFP and low-/high-frequency power ratio (LHR) in both groups of patients. We concluded that the ρACF, SACF, RMSSDACF/SDACF, and SD1ACF/SD2ACF, among many other indices of ACF Poincaré plot, can be used to differentiate between patients with AMI and patients with PCA, and that the increase in ρACF and SACF and the decrease in RMSSDACF/SDACF and SD1ACF/SD2ACF suggest an increased sympathetic and decreased vagal modulations in both groups of patients.
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J Clin Monit Comput · Aug 2014
Clinical TrialMulti-scale sample entropy of electroencephalography during sevoflurane anesthesia.
The electroencephalogram (EEG) has been widely applied in the assessment of depth of anesthesia (DoA). Recent research has found that multi-scale EEG analysis describes brain dynamics better than traditional non-linear methods. In this study, we have adopted a modified sample entropy (MSpEn) method to analyze anesthetic EEG series as a measure of DoA. ⋯ Scales 1, 3 and 5 tended to make the greatest contribution to MSpEn. For this data set, the MSpEn is superior to the ApEn, the RE and the SE for tracking drug concentration change during sevoflurane anesthesia. It is suggested that the MSpEn may be further studied for application in clinical monitoring of DoA.
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J Clin Monit Comput · Aug 2014
Comparative StudyPrognostic value of EEG indexes for the Glasgow outcome scale of comatose patients in the acute phase.
The purpose of this work is the estimation of the Glasgow outcome scale (GOS) from a single continuous electroencephalogram (c-EEG) routinely recorded to monitor comatose patients in the neurosurgical intensive care unit. c-EEG was recorded from 13 patients in the acute phase: five with GOS = 5, four with GOS = 3 and four with GOS = 1. Different indexes were extracted from epochs of c-EEG (classical: amplitude and spectral estimators; non classical: from recurrence quantification analysis-RQA-and approximate entropy). Descriptors of different indexes (temporal variation and mean, standard deviation, skewness of the distribution across epochs) were used to train support vector machines to identify the correct GOS. ⋯ Spectral indexes allowed to get optimal performances in classifying GOS 1 and 3. Nonlinear indexes (especially determinism from RQA) were optimal for identifying GOS = 5. Thus, the integration of information from classical/linear and nonlinear c-EEG descriptors in a multi-index classifier is important for GOS estimation.
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J Clin Monit Comput · Aug 2014
Accurate and stable continuous monitoring module by mainstream capnography.
End-tidal partial pressure of [Formula: see text] is an important index in clinical monitoring. Medical mainstream capnography has become widely used, but there are still limitations in accuracy and stability. A type of mainstream capnometer based on the principle of non-dispersive infrared was designed. ⋯ Several digital filtering techniques are used to process various interferences and improve capnogram quality. Clinical tests and targeted experiments show this mainstream capnometer can accurately monitor respiratory CO2 concentrations, especially at the end-tidal peak point. This capnometer also shows high accuracy and stability in long-term continuous monitoring.