AIMC Topic: Blood Volume

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Artificial intelligence outperforms experienced nephrologists to assess dry weight in pediatric patients on chronic hemodialysis.

Pediatric nephrology (Berlin, Germany) Jul 9, 2018
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weight estimation is necessary to minimize morbi-mortality, but is difficult to achieve. Here, we used artificial intelligence to improve the accuracy of d...
Body Weight Body Fluids Nephrologists Blood Volume Antihypertensive Agents Kidney Failure, Chronic Feasibility Studies Decision Making, Computer-Assisted Adolescent Child Hypertension Blood Pressure Determination Body Mass Index Dose-Response Relationship, Drug Blood Pressure Neural Networks, Computer Female Male Renal Dialysis Humans
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Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

PloS one Mar 29, 2018
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such as heart rate and blood pressure, and their inability to detect ...
Hypovolemia Adult Blood Volume Male Support Vector Machine Humans Case-Control Studies Water-Electrolyte Imbalance Algorithms Photoplethysmography Hemorrhage Female Wounds and Injuries
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A machine-learning based analysis for the recognition of progressive central hypovolemia.

Physiological measurement Aug 21, 2017
OBJECTIVE: Traditional patient monitoring during surgery includes heart rate (HR), blood pressure (BP) and peripheral oxygen saturation. However, their use as predictors for central hypovolemia is limited, which may lead to cerebral hypoperfusion. Th...
Machine Learning Female Young Adult Adult Male Middle Aged Disease Progression Humans Blood Volume Adolescent Monitoring, Physiologic Hypovolemia
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Influence of the central venous site on the transpulmonary thermodilution parameters in critically ill burn patients.

Burns : journal of the International Society for Burn Injuries Jul 20, 2015
The aim of this study was to verify the measurement concordance of cardiac index (CI), extra-vascular lung water index (EVLWI) and global end diastolic volume index (GEDVI) with transpulmonary thermodilution (TPTD) between the jugular and femoral acc...
Female Aged Adult Male Thermodilution Humans Prospective Studies Blood Volume Critical Illness Femoral Vein Middle Aged Radiography Extravascular Lung Water Lung Fluid Therapy Blood Flow Velocity Burns Catheterization, Central Venous Jugular Veins Cardiac Output
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Combat medic testing of a novel monitoring capability for early detection of hemorrhage.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Current out-of-hospital protocols to determine hemorrhagic shock in civilian trauma systems rely on standard vital signs with military guidelines relying on heart rate and strength of the radial pulse on palpation, all of which have prove...
Blood Volume Military Medicine War-Related Injuries Hemorrhage Military Personnel Early Diagnosis Vital Signs Humans Machine Learning Algorithms
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Validating clinical threshold values for a dashboard view of the compensatory reserve measurement for hemorrhage detection.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Compensatory reserve measurement (CRM) is a novel noninvasive monitoring technology designed to assess physiologic reserve using feature interrogation of arterial pulse waveforms. This study was conducted to validate clinically relevant C...
Middle Aged Hemodynamics User-Computer Interface ROC Curve Humans Adult Machine Learning Sensitivity and Specificity Female Male Risk Factors Injury Severity Score Logistic Models Vital Signs Blood Transfusion Blood Volume Hemorrhage Data Display Shock
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1D Convolutional Neural Networks for Estimation of Compensatory Reserve from Blood Pressure Waveforms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We propose a Deep Convolutional Neural Network (CNN) architecture for computing a Compensatory Reserve Metric (CRM) for trauma victims suffering from hypovolemia (decreased circulating blood volume). The CRM is a single health indicator value that ra...
Hemorrhage Hypovolemia Blood Volume Lower Body Negative Pressure Humans Neural Networks, Computer Blood Pressure
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[The influence of continuous venovenous hemofiltration on parameter measurement by the transpulmonary thermodilution technique].

Zhonghua wei zhong bing ji jiu yi xue Oct 1, 2015
OBJECTIVE: To evaluate the influence of continuous venovenous hemofiltration (CVVH) on measurement of transpulmonary thermodilution parameters.
Monitoring, Physiologic Arterial Pressure Cardiac Output Extravascular Lung Water Aged Thermodilution Humans Hemofiltration Aged, 80 and over Prospective Studies Blood Volume Male Female Middle Aged
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