Journal of clinical monitoring and computing
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J Clin Monit Comput · Aug 2022
Multicenter StudyPrediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study.
Elevations in initially obtained serum lactate levels are strong predictors of mortality in critically ill patients. Identifying patients whose serum lactate levels are more likely to increase can alert physicians to intensify care and guide them in the frequency of tending the blood test. We investigate whether machine learning models can predict subsequent serum lactate changes. ⋯ The LSTM models were able to predict deterioration of serum lactate values of MIMIC-III patients with an AUC of 0.77 (95% CI 0.762-0.771) for the normal group, 0.77 (95% CI 0.768-0.772) for the mild group, and 0.85 (95% CI 0.840-0.851) for the severe group, with only a slightly lower performance in the external validation. The LSTM demonstrated good discrimination of patients who had deterioration in serum lactate levels. Clinical studies are needed to evaluate whether utilization of a clinical decision support tool based on these results could positively impact decision-making and patient outcomes.
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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
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
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.