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Journals Journal of Clinical Monitoring...

Journal of Clinical Monitoring and Computing

https://read.qxmd.com/read/38619718/is-eit-guided-positive-end-expiratory-pressure-titration-for-optimizing-peep-in-ards-the-white-elephant-in-the-room-a-systematic-review-with-meta-analysis-and-trial-sequential-analysis
#1
REVIEW
Soumya Sarkar, Bharat Yalla, Puneet Khanna, Madhurjya Baishya
Electrical Impedance Tomography (EIT) is a novel real-time lung imaging technology for personalized ventilation adjustments, indicating promising results in animals and humans. The present study aimed to assess its clinical utility for improved ventilation and oxygenation compared to traditional protocols. Comprehensive electronic database screening was done until 30th November, 2023. Randomized controlled trials, controlled clinical trials, comparative cohort studies, and assessments of EIT-guided PEEP titration and conventional methods in adult ARDS patients regarding outcome, ventilatory parameters, and P/F ratio were included...
April 15, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38619717/effect-of-vertical-stopcock-position-on-start-up-fluid-delivery-in-syringe-pumps-used-for-microinfusions
#2
JOURNAL ARTICLE
Markus Weiss, Pedro David Wendel-Garcia, Beate Grass, Maren Kleine-Brueggeney
The purpose of this in vitro study was to evaluate the impact of the vertical level of the stopcock connecting the infusion line to the central venous catheter on start-up fluid delivery in microinfusions. Start-up fluid delivery was measured under standardized conditions with the syringe outlet and liquid flow sensors positioned at heart level (0 cm) and exposed to a simulated CVP of 10 mmHg at a set flow rate of 1 ml/h. Flow and intraluminal pressures were measured with the infusion line connected to the stopcock primarily placed at vertical levels of 0 cm, + 30 cm and - 30 cm or primarily placed at 0 cm and secondarily, after connecting the infusion line, displaced to + 30 cm and - 30 cm...
April 15, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38619716/a-machine-learning-algorithm-for-detecting-abnormal-patterns-in-continuous-capnography-and-pulse-oximetry-monitoring
#3
JOURNAL ARTICLE
Feline L Spijkerboer, Frank J Overdyk, Albert Dahan
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection of abnormal ventilation, allowing intervention before patient deterioration. The objective of this analysis was to use machine learning (ML) to classify combined waveforms of continuous capnography and pulse oximetry as normal or abnormal. We used data collected during the observational, prospective PRODIGY trial, in which patients receiving parenteral opioids underwent continuous capnography and pulse oximetry monitoring while on the general care floor [1]...
April 15, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38609724/the-predictive-role-of-carotid-artery-flow-time-for-anesthesia-induced-hypotension-in-high-risk-elderly-patients
#4
JOURNAL ARTICLE
Ismail Demir, Mediha Turktan, Ersel Gulec, Yusuf Kemal Arslan, Mehmet Ozalevli
Hypotension induced by general anesthesia is associated with postoperative complications, increased mortality, and morbidity, particularly elderly patients. The aim of this study was to investigate the effectiveness of corrected carotid artery flow time (FTc) for predicting hypotension following anesthesia induction in patients over 65 years old. After faculty ethical committee approval and written informed consent, 138 patients (65 years and older, ASA physical status I-III) who scheduled for elective surgery were included in this study...
April 12, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38609723/knowledge-based-computerized-patient-clinical-decision-support-system-for-perioperative-pain-nausea-and-constipation-management-a-clinical-feasibility-study
#5
JOURNAL ARTICLE
Eric Noll, Melanie Noll-Burgin, François Bonnomet, Aurelie Reiter-Schatz, Benedicte Gourieux, Elliott Bennett-Guerrero, Thibaut Goetsch, Nicolas Meyer, Julien Pottecher
Opioid administration is particularly challenging in the perioperative period. Computerized-based Clinical Decision Support Systems (CDSS) are a promising innovation that might improve perioperative pain control. We report the development and feasibility validation of a knowledge-based CDSS aiming at optimizing the management of perioperative pain, postoperative nausea and vomiting (PONV), and laxative medications. This novel CDSS uses patient adaptive testing through a smartphone display, literature-based rules, and individual medical prescriptions to produce direct medical advice for the patient user...
April 12, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38573370/algor-ethics-charting-the-ethical-path-for-ai-in-critical-care
#6
LETTER
Jonathan Montomoli, Maria Maddalena Bitondo, Marco Cascella, Emanuele Rezoagli, Luca Romeo, Valentina Bellini, Federico Semeraro, Emiliano Gamberini, Emanuele Frontoni, Vanni Agnoletti, Mattia Altini, Paolo Benanti, Elena Giovanna Bignami
The integration of Clinical Decision Support Systems (CDSS) based on artificial intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its development and ethical implementation, presents unique challenges, particularly in critical care, where physicians often deal with life-threating conditions requiring rapid actions and patients unable to participate in the decisional process. Moreover, development of AI-based CDSS is complex and should address different sources of bias, including data acquisition, health disparities, domain shifts during clinical use, and cognitive biases in decision-making...
April 4, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38573369/towards-the-automatic-detection-and-correction-of-abnormal-arterial-pressure-waveforms
#7
EDITORIAL
Frederic Michard
Both over and underdamping of the arterial pressure waveform are frequent during continuous invasive radial pressure monitoring. They may influence systolic blood pressure measurements and the accuracy of cardiac output monitoring with pulse wave analysis techniques. It is therefore recommended to regularly perform fast flush tests to unmask abnormal damping. Smart algorithms have recently been developed for the automatic detection of abnormal damping. In case of overdamping, air bubbles, kinking, and partial obstruction of the arterial catheter should be suspected and eliminated...
April 4, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38573368/the-time-constant-of-the-cerebral-arterial-bed-exploring-age-related-implications
#8
JOURNAL ARTICLE
Agnieszka Uryga, Marek Czosnyka, Chiara Robba, Nathalie Nasr, Magdalena Kasprowicz
The time constant of the cerebral arterial bed (τ) represents an estimation of the  transit time of flow from the point of insonation at the level of the middle cerebral artery to the arteriolar-capillary boundary, during a cardiac cycle. This study assessed differences in τ among healthy volunteers across different age groups. Simultaneous recordings of transcranial Doppler cerebral blood flow velocity (CBFV) and arterial blood pressure (ABP) were performed on two groups: young volunteers (below 30 years of age), and older volunteers (above 40 years of age)...
April 4, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38573367/machine-learning-based-analysis-and-detection-of-trend-outliers-for-electromyographic-neuromuscular-monitoring
#9
JOURNAL ARTICLE
Michaël Verdonck, Hugo Carvalho, Thomas Fuchs-Buder, Sorin J Brull, Jan Poelaert
PURPOSE: Neuromuscular monitoring is frequently plagued by artefacts, which along with the frequent unawareness of the principles of this subtype of monitoring by many clinicians, tends to lead to a cynical attitute by clinicians towards these monitors. As such, the present study aims to derive a feature set and evaluate its discriminative performance for the purpose of Train-of-Four Ratio (TOF-R) outlier analysis during continuous intraoperative EMG-based neuromuscular monitoring. METHODS: Patient data was sourced from two devices: (1) Datex-Ohmeda Electromyography (EMG) E-NMT: a dataset derived from a prospective observational trial including 136 patients (21,891 TOF-R observations), further subdivided in two based on the type of features included; and (2) TetraGraph: a clinical case repository dataset of 388 patients (97,838 TOF-R observations)...
April 4, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38568370/continuity-with-caveats-in-anesthesia-state-and-response-entropy-of-the-eeg
#10
JOURNAL ARTICLE
Max Ebensperger, Matthias Kreuzer, Stephan Kratzer, Gerhard Schneider, Stefan Schwerin
The growing use of neuromonitoring in general anesthesia provides detailed insights into the effects of anesthetics on the brain. Our study focuses on the processed EEG indices State Entropy (SE), Response Entropy (RE), and Burst Suppression Ratio (BSR) of the GE EntropyTM Module, which serve as surrogate measures for estimating the level of anesthesia. While retrospectively analyzing SE and RE index values from patient records, we encountered a technical anomaly with a conspicuous distribution of index values...
April 3, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38561556/the-modern-anesthesiologist-s-manual-the-development-and-maintenance-of-an-anesthesia-case-reference-application
#11
JOURNAL ARTICLE
Stephanie Chan, James S Cho, Caroline Andrew, David Hao
Anesthesia clinicians care for patients undergoing a wide range of procedures, making access to reliable references crucial. However, existing resources have key limitations. This technical report describes the development of an in-house anesthesia case reference application designed for use in a tertiary academic hospital. Additionally, it details our experiences in maintaining this system over a 22-month period and compares this system to alternative resources. Utilizing JavaScript and the React library, we developed a cross-platform perioperative reference application...
April 2, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38561555/relationship-between-preinduction-electroencephalogram-patterns-and-propofol-sensitivity-in-adult-patients
#12
JOURNAL ARTICLE
Seungpyo Nam, Seokha Yoo, Sun-Kyung Park, Youngwon Kim, Jin-Tae Kim
PURPOSE: To determine the precise induction dose, an objective assessment of individual propofol sensitivity is necessary. This study aimed to investigate whether preinduction electroencephalogram (EEG) data are useful in determining the optimal propofol dose for the induction of general anesthesia in healthy adult patients. METHODS: Seventy healthy adult patients underwent total intravenous anesthesia (TIVA), and the effect-site target concentration of propofol was observed to measure each individual's propofol requirements for loss of responsiveness...
April 2, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38557919/design-of-a-flow-modulation-device-to-facilitate-individualized-ventilation-in-a-shared-ventilator-setup
#13
JOURNAL ARTICLE
Michiel Stiers, Jan Vercauteren, Tom Schepens, Matthias Mergeay, Luc Janssen, Olivier Hoogmartens, Arne Neyrinck, Benoît G Marinus, Marc Sabbe
This study aims to resolve the unmet need for ventilator surge capacity by developing a prototype device that can alter patient-specific flow in a shared ventilator setup. The device is designed to deliver a predictable tidal volume (VT), requiring minimal additional monitoring and workload. The prototyped device was tested in an in vitro bench setup for its performance against the intended use and design criteria. The ventilation parameters: VT and airway pressures, and ventilation profiles: pressure, flow and volume were measured for different ventilator and device settings for a healthy and ARDS simulated lung pathology...
April 1, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38530502/the-evaluation-of-a-non-invasive-respiratory-monitor-in-ards-patients-in-supine-and-prone-position
#14
JOURNAL ARTICLE
Tommaso Pozzi, Silvia Coppola, Elena Chiodaroli, Federico Cucinotta, Francesca Becci, Davide Chiumello
PURPOSE: The Prone positioning in addition to non invasive respiratory support is commonly used in patients with acute respiratory failure. The aim of this study was to assess the accuracy of an impedance-based non-invasive respiratory volume monitor (RVM) in supine and in prone position. METHODS: In sedated, paralyzed and mechanically ventilated patients in volume-controlled mode with acute respiratory distress syndrome scheduled for prone positioning it was measured and compared non-invasively tidal volume and respiratory rate provided by the RVM in supine and, subsequently, in prone position, by maintaining unchanged the ventilatory setting...
March 26, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38512361/early-prediction-of-ventricular-peritoneal-shunt-dependency-in-aneurysmal-subarachnoid-haemorrhage-patients-by-recurrent-neural-network-based-machine-learning-using-routine-intensive-care-unit-data
#15
JOURNAL ARTICLE
Nils Schweingruber, Jan Bremer, Anton Wiehe, Marius Marc-Daniel Mader, Christina Mayer, Marcel Seungsu Woo, Stefan Kluge, Jörn Grensemann, Fanny Quandt, Jens Gempt, Marlene Fischer, Götz Thomalla, Christian Gerloff, Jennifer Sauvigny, Patrick Czorlich
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic congestion. Treatment of this acute condition often includes establishing an external ventricular drainage (EVD). However, chronic hydrocephalus develops in some patients, who then require placement of a permanent ventriculoperitoneal (VP) shunt. The aim of this study was to employ recurrent neural network (RNN)-based machine learning techniques to identify patients who require VP shunt placement at an early stage...
March 21, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38512360/non-invasive-technology-for-brain-monitoring-definition-and-meaning-of-the-principal-parameters-for-the-international-practice-on-technology-neuro-monitoring-group-i-protect
#16
REVIEW
Stefano Romagnoli, Francisco A Lobo, Edoardo Picetti, Frank A Rasulo, Chiara Robba, Basil Matta
Technologies for monitoring organ function are rapidly advancing, aiding physicians in the care of patients in both operating rooms (ORs) and intensive care units (ICUs). Some of these emerging, minimally or non-invasive technologies focus on monitoring brain function and ensuring the integrity of its physiology. Generally, the central nervous system is the least monitored system compared to others, such as the respiratory, cardiovascular, and renal systems, even though it is a primary target in most therapeutic strategies...
March 21, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38512359/estimation-of-the-transpulmonary-pressure-from-the-central-venous-pressure-in-mechanically-ventilated-patients
#17
JOURNAL ARTICLE
Federico Franchi, Emanuele Detti, Alberto Fogagnolo, Savino Spadaro, Gabriele Cevenini, Gennaro Cataldo, Tommaso Addabbo, Cesare Biuzzi, Daniele Marianello, Carlo Alberto Volta, Fabio Silvio Taccone, Sabino Scolletta
Transpulmonary pressure (PL ) calculation requires esophageal pressure (PES ) as a surrogate of pleural pressure (Ppl), but its calibration is a cumbersome technique. Central venous pressure (CVP) swings may reflect tidal variations in Ppl and could be used instead of PES , but the interpretation of CVP waveforms could be difficult due to superposition of heartbeat-induced pressure changes. Thus, we developed a digital filter able to remove the cardiac noise to obtain a filtered CVP (f-CVP). The aim of the study was to evaluate the accuracy of CVP and filtered CVP swings (ΔCVP and Δf-CVP, respectively) in estimating esophageal respiratory swings (ΔPES ) and compare PL calculated with CVP, f-CVP and PES; then we tested the diagnostic accuracy of the f-CVP method to identify unsafe high PL levels, defined as PL >10 cmH2 O...
March 21, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38493277/correction-clinical-performance-of-lung-ultrasound-in-predicting-time-dependent-changes-in-lung-aeration-in-ards-patients
#18
Andrea Costamagna, Irene Steinberg, Emanuele Pivetta, Pietro Arina, Simona Veglia, Luca Brazzi, Vito Fanelli
No abstract text is available yet for this article.
March 16, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38460104/visual-lung-ultrasound-protocol-vlup-in-acute-respiratory-failure-description-and-application-in-clinical-cases
#19
JOURNAL ARTICLE
A Bianchini, Irene Sbaraini Zernini, G Notini, E Zangheri, C Felicani, G Vitale, A Siniscalchi
Lung ultrasound (LUS) is widely used as a diagnostic and monitoring tool in critically ill patients. Lung ultrasound score (LUSS) based on the examination of twelve thoracic regions has been extensively validated for pulmonary assessment. However, it has revealed significant limitations: when applied to heterogeneous lung diseases with intermediate LUSS pattern (LUSS 1 and 2), for instance, intra-observer consistency is relatively low. In addition, LUSS is time-consuming and a more rapid overview of the extent of lung pathology and residual lung aeration is often required, especially in emergency setting...
March 9, 2024: Journal of Clinical Monitoring and Computing
https://read.qxmd.com/read/38460103/electronic-health-record-data-is-unable-to-effectively-characterize-measurement-error-from-pulse-oximetry-a-simulation-study
#20
JOURNAL ARTICLE
Elie Sarraf
Large data sets from electronic health records (EHR) have been used in journal articles to demonstrate race-based imprecision in pulse oximetry (SpO2 ) measurements. These articles do not appear to recognize the impact of the variability of the SpO2 values with respect to time ("deviation time"). This manuscript seeks to demonstrate that due to this variability, EHR data should not be used to quantify SpO2 error. Using the MIMIC-IV Waveform dataset, SpO2 values are sampled from 198 patients admitted to an intensive care unit and used as reference samples...
March 9, 2024: Journal of Clinical Monitoring and Computing
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