Journal of clinical monitoring and computing
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J Clin Monit Comput · Feb 2023
Multicenter StudyDevelopment and validation of clinical prediction models for acute kidney injury recovery at hospital discharge in critically ill adults.
Acute kidney injury (AKI) recovery prediction remains challenging. The purpose of the present study is to develop and validate prediction models for AKI recovery at hospital discharge in critically ill patients with ICU-acquired AKI stage 3 (AKI-3). ⋯ Models to predict AKI recovery upon hospital discharge in critically ill patients with AKI-3 showed poor performance in the general ICU population, similar to the biomarker NGAL. In cardiac surgery patients, discrimination was acceptable, and better than NGAL. These findings demonstrate the difficulty of predicting non-reversible AKI early.
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J Clin Monit Comput · Feb 2023
Risk of bias for randomized controlled trials in Journal of Clinical Monitoring and Computing.
Well-designed randomized controlled trials (RCTs) are considered to represent a high level of evidence and influence medical decision-making in evidence-based medicine. When biases occur in study design, processing, and reporting of RCTs, however, it is difficult to interpret results and judge the impact of interventions. Accordingly, we evaluate the quality of RCT reporting published in the Journal of Clinical Monitoring and Computing (JCMC) using three assessment tools. ⋯ Reporting quality increased over time, with consistently high reporting quality in recently published JCMC RCTs.
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J Clin Monit Comput · Feb 2023
Multicenter Study Observational StudyIntra-abdominal hypertension in cardiac surgery patients: a multicenter observational sub-study of the Accuryn registry.
Intra-abdominal hypertension (IAH) is frequently present in the critically ill and is associated with increased morbidity and mortality. Conventionally, intermittent 'spot-check' manual measurements of bladder pressure in those perceived as high risk are used as surrogates for intra-abdominal pressure (IAP). True patterns of IAH remain unknown. ⋯ For maximum consecutive duration of IAH, 84% (115/137) of patients spent at least 12 h in grade I, 62% (85/137) in grade II, 18% (25/137) in grade III, and 2% (3/137) in grade IV IAH. During the first 48 h after cardiac surgery, IAH is common and persistent. Improved and automated monitoring of IAP will increase the detection of IAH-which normally would remain undetected using traditional intermittent monitoring methods.
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J Clin Monit Comput · Feb 2023
Randomized Controlled TrialPerformance of the bispectral index and electroencephalograph derived parameters of anesthetic depth during emergence from xenon and sevoflurane anesthesia.
Many processed EEG monitors (pEEG) are unreliable when non-GABAergic anesthetic agents are used. The primary aim of the study was to compare the response of the Bispectral Index (BIS) during emergence from anesthesia maintained by xenon and sevoflurane. To better understand the variation in response of pEEG to these agents, we also compared several EEG derived parameters relevant to pEEG monitoring during emergence. Twenty-four participants scheduled for lithotripsy were randomized to receive xenon or sevoflurane anesthesia. ⋯ The spectral edge frequency and composite cortical state parameters increased significantly in both groups during emergence. The BIS index is lower at equivalent stages of behavioural response during emergence from xenon anesthesia when compared to sevoflurane anesthesia, most likely due to differences in how these two agents influence the relative beta ratio. The spectral edge frequency and composite cortical state might better reflect emergence from xenon anaesthesia. Clinical trial number and registry Australia New Zealand Clinical Trials Registry Number: ACTRN12618000916246.