Journal of clinical monitoring and computing
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J Clin Monit Comput · Jun 2017
ReviewUrine biochemistry assessment in critically ill patients: controversies and future perspectives.
In the past, urine biochemistry was a major tool in acute kidney injury (AKI) management. Classic papers published some decades ago established the values of the urine indices which were thought to distinguish "pre-renal" (functional) AKI attributed to low renal perfusion and "renal" (structural) AKI attributed to acute tubular necrosis (ATN). However, there were a lot of drawbacks and limitations in these studies and some recent articles have questioned the utility of measuring urine electrolytes especially because they do not seem to adequately inform about renal perfusion nor AKI duration (transient vs. persistent). ⋯ Some studies have suggested standardized changes in the urine electrolyte composition preceding increases in serum creatinine independently of AKI subsequent duration, which might actually be due to intra-renal microcirculatory changes and activation of sodium-retaining mechanisms even in the absence of impaired global renal blood flow. In the present review, the points of controversy regarding urine biochemistry assessment were evaluated as well as future perspectives for its role in AKI monitoring. An alternative approach for the interpretation of measured urine electrolytes is proposed which needs further larger studies to be validated and incorporated in daily ICU practice.
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J Clin Monit Comput · Jun 2017
Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.
Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressure at the end of expiration (PEEPapp) to avoid lung collapse. However, the total pressure exerted on the alveolar walls (PEEPtot) is the sum of PEEPappand intrinsic PEEP (PEEPi), a hidden component. To measure PEEPtot, ventilation must be discontinued with an end-expiratory hold maneuver (EEHM). ⋯ ANN agreement with reference PEEPtotwas assessed with the Bland-Altman method. Bland Altman analysis of estimation error by ANN showed -0.40 ± 2.84 (expressed as bias ± precision) and ±5.58 as limits of agreement (data expressed as cmH2O). The ANNs estimated the PEEPtotwell at different levels of PEEPappunder dynamic conditions, opening up new possibilities in monitoring PEEPiin critically ill patients who require ventilator treatment.
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J Clin Monit Comput · Jun 2017
ReviewThe role of tracheal tube introducers and stylets in current airway management.
Tracheal tube introducers and stylets are highly successful devices for the management of various airway scenarios. Their first-line use is advocated in many difficult airway algorithms. Although they have been used for decades, the shape and design of introducers and stylets as well as their patterns of use are constantly evolving. ⋯ The data was synthesized into a narrative review to provide the clinician with an update on the characteristics, indications and techniques of use as well as the dangers of different intubation aids. Today, numerous tracheal tube introducers and stylets exist with different indications, ranging from general to specific situations. Anesthetists should be familiar with the different devices, their characteristics and indications in order to use the right device at the right time in the right way.
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J Clin Monit Comput · Jun 2017
Comparative StudyComputerised respiratory sounds can differentiate smokers and non-smokers.
Cigarette smoking is often associated with the development of several respiratory diseases however, if diagnosed early, the changes in the lung tissue caused by smoking may be reversible. Computerised respiratory sounds have shown to be sensitive to detect changes within the lung tissue before any other measure, however it is unknown if it is able to detect changes in the lungs of healthy smokers. This study investigated the differences between computerised respiratory sounds of healthy smokers and non-smokers. ⋯ Significant differences between computerised respiratory sounds of smokers and non-smokers have been found. Changes in respiratory sounds are often the earliest sign of disease. Thus, computerised respiratory sounds might be a promising measure to early detect smoking related respiratory diseases.
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J Clin Monit Comput · Jun 2017
Analysis of central venous pressure (CVP) signals using mathematical methods.
Central venous pressure (CVP) is an important clinical parameter for physicians but only the absolute CVP value is typically monitored in the intensive care unit (ICU). In this study, we propose a novel mathematical method to present and analyze CVP signals. ⋯ The statistical features of time and frequency domain, wavelet, and empirical mode decomposition of these signals were extracted. We found no significant difference among the CVP signals regarding sex, smoking, coronary disease, and respiration mode of the samples.