Journal of clinical monitoring and computing
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J Clin Monit Comput · Aug 2022
ReviewAccuracy of pulse oximeters in measuring oxygen saturation in patients with poor peripheral perfusion: a systematic review.
One of the most significant limitations of oximeters is their performance under poor perfusion conditions. This systematic review examines pulse oximeter model accuracy in adults under poor perfusion conditions. A multiple database search was conducted from inception to December 2020. ⋯ Only one study controlled for skin pigmentation, and none strictly followed Food and Drug Association recommendations for experiments to determine oximeter accuracy. Oximeters are accurate in poorly perfused patients, especially newer oximeter models and those placed on earlobes. Further studies are needed that examine multiple oximeter models used on a diverse selection of patients while following FDA recommendations to examine oximeter accuracy.
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J Clin Monit Comput · Aug 2022
Randomized Controlled Trial Multicenter StudyPharmacodynamic analysis of a fluid challenge with 4 ml kg-1 over 10 or 20 min: a multicenter cross-over randomized clinical trial.
A number of studies performed in the operating room evaluated the hemodynamic effects of the fluid challenge (FC), solely considering the effect before and after the infusion. Few studies have investigated the pharmacodynamic effect of the FC on hemodynamic flow and pressure variables. We designed this trial aiming at describing the pharmacodynamic profile of two different FC infusion times, of a fixed dose of 4 ml kg-1. ⋯ The infusion time of FC administration affects fluid responsiveness, being higher for FC10 as compared to FC20. The effect on flow variables of either FCs fades 5 min after the end of infusion.
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J Clin Monit Comput · Aug 2022
Meta AnalysisThe use of virtual reality in children undergoing vascular access procedures: a systematic review and meta-analysis.
Venous access procedures are painful and feared by children and their parents. Virtual reality has become increasingly prominent and has been shown to be effective in various procedures. The aim of this meta-analysis was to examine virtual reality's effect on pain and fear in children from 4 to 12 in the context of vascular access. ⋯ This is the first meta-analysis to look at the use virtual reality in young children undergoing vascular access procedures, providing weak to moderate evidence for its use. Although large effect sizes provide evidence for a positive effect of virtual reality in reducing pain and fear, there is significant heterogeneity between studies. More research with larger groups and age stratification is required.
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J Clin Monit Comput · Aug 2022
Ability of short-time low peep challenge to predict fluid responsiveness in mechanically ventilated patients in the intensive care.
Short-time low PEEP challenge (SLPC, application of additional 5 cmH2O PEEP to patients for 30 s) is a novel functional hemodynamic test presented in the literature. We hypothesized that SLPC could predict fluid responsiveness better than stroke volume variation (SVV) in mechanically ventilated intensive care patients. Heart rate, mean arterial pressure, stroke volume index (SVI) and SVV were recorded before SLPC, during SLPC and before and after 500 mL fluid loading. ⋯ The ROC-AUC of SVIΔ%-SLPC was significantly higher than that of SVV (p = 0.0045). The best cut-off value of SVIΔ%-SLPC was 7.5% with 90% sensitivity and 96% specificity. The percentage change in SVI during SLPC predicts fluid responsiveness in intensive care patients who are ventilated with low tidal volumes; the sensitivity and specificity values are higher than those of SVV.
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J Clin Monit Comput · Aug 2022
Reliability of a computational model for evaluating thoracoabdominal mobility in newborns: a cross-sectional study.
The present study aimed to verify the inter and intra-examiner reliability of an interactive custom-made MATLAB® App for bio-photogrammetric analysis of thoracoabdominal mobility in newborns and compare the respiratory rate (RR) results between the automatic MATLAB® App and its manual counterpart. This is a cross-sectional study conducted in 27 healthy newborns of both sexes (gestational age between 37 and 41 weeks and up to 72 h of life) who did not cry during data acquisition. Chest and abdominal areas of the subjects in the supine position were analyzed through 60 s videos, totaling 30,714 photograms. ⋯ Reliability was excellent for intra (ICC 0.81-0.96) and inter-examiner correlations (ICC 0.84-0.99) between the chest and abdominal areas, in both inspiration and expiration, with no differences between them. Evaluation of newborns' thoracoabdominal mobility using the custom-made MATLAB® App for bio-photogrammetric analysis exhibited good to excellent intra- and inter-examiner reliability and an excellent correlation between manual and automatic models for measuring RR. Thus, it proved to be an objective and practical tool for bedside thoracoabdominal mobility assessment in different clinical situations involving neonatal care.