Journal of anesthesia
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Journal of anesthesia · Aug 2024
ReviewIntensive care unit follow-up clinic activities: a scoping review.
The importance of ongoing post-discharge follow-up to prevent functional impairment in patients discharged from intensive care units (ICUs) is being increasingly recognized. Therefore, we conducted a scoping review, which included existing ICU follow-up clinic methodologies using the CENTRAL, MEDLINE, and CINAHL databases from their inception to December 2022. Data were examined for country or region, outpatient name, location, opening days, lead profession, eligible patients, timing of the follow-up, and assessment tools. ⋯ Ten studies reported the first outpatient visit 1-3 months after discharge. All studies assessed physical function, cognitive function, mental health, and the health-related quality of life. This scoping review revealed that an optimal operating format for ICU follow-up clinics needs to be established according to the categories of critically ill patients.
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Journal of anesthesia · Aug 2024
ReviewWhat are standard monitoring devices for anesthesia in future?
Monitoring the patient's physiological functions is critical in clinical anesthesia. The latest version of the Japanese Society of Anesthesiologists' Guidelines for Safe Anesthesia Monitoring, revised in 2019, covers various factors, including electroencephalogram monitoring, oxygenation, ventilation, circulation, and muscle relaxation. However, with recent advances in monitoring technologies, the information provided has become more detailed, requiring practitioners to update their knowledge. ⋯ The importance of using AI analytics to predict hypotension, assess nociception, and evaluate microcirculation may increase. With the recent increase in the availability of neuromuscular monitoring devices in Japan, it is important for anesthesiologists to become thoroughly familiar with the features of each device to ensure its effective use. There is a growing desire to develop and introduce a well-organized, integrated "single screen" monitor.
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Journal of anesthesia · Jun 2024
ReviewMachine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review.
Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless, the absence of a swift and precise method for prediction and detection poses a challenge. This study aims to provide a comprehensive literature review on the application of machine learning (ML) algorithms for predicting and detecting new-onset atrial fibrillation (NOAF) in ICU-treated patients. ⋯ Notably, CatBoost exhibited superior performance in NOAF prediction, while the support vector machine excelled in NOAF detection. Machine learning algorithms emerge as promising tools for predicting and detecting NOAF in ICU patients. The incorporation of these algorithms in clinical practice has the potential to enhance decision-making and the overall management of NOAF in ICU settings.
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Journal of anesthesia · Jun 2024
ReviewMachine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review.
Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless, the absence of a swift and precise method for prediction and detection poses a challenge. This study aims to provide a comprehensive literature review on the application of machine learning (ML) algorithms for predicting and detecting new-onset atrial fibrillation (NOAF) in ICU-treated patients. ⋯ Notably, CatBoost exhibited superior performance in NOAF prediction, while the support vector machine excelled in NOAF detection. Machine learning algorithms emerge as promising tools for predicting and detecting NOAF in ICU patients. The incorporation of these algorithms in clinical practice has the potential to enhance decision-making and the overall management of NOAF in ICU settings.
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Journal of anesthesia · Jun 2024
ReviewMultisystem inflammatory syndrome in children: an Umbrella review.
We conducted an Umbrella review of eligible studies to evaluate what patient features have been investigated in the multisystem inflammatory syndrome in children (MIS-C) population, in order to guide future investigations. We comprehensively searched MEDLINE, EMBASE, and Cochrane Database of Systematic Reviews from December 1, 2019 to the May 6, 2022. The time period was limited to cover the coronavirus disease-2019 (COVID-19) pandemic period. ⋯ The mortality rate for children with MIS-C was 1.9% (interquartile range (IQR) 0.48), the ICU admission rate was 72.6% (IQR 8.3), and the extracorporeal membrane oxygenation rate was 4.7% (IQR 2.0). A meta-analysis of eligible studies found that cerebral natriuretic peptide in children with MIS-C was higher than that in children with COVID-19, and that the use of intravenous immunoglobulin (IVIG) in combination with glucocorticoids to treat MIS-C compared to IVIG alone was associated with lower treatment failure. In the future, for patients with MIS-C, studies focused on safety of surgery requiring general anesthesia, risk factors, treatment, and long-term outcomes are warranted.