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Extravascular Lung Water

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[Clinical research of target guided treatment of patients with severe heart failure under the guidance of pulse indicator continuous cardiac output].

Zhonghua wei zhong bing ji jiu yi xue
OBJECTIVE: To investigate the value of pulse indicator continuous cardiac output (PiCCO) monitoring in the treatment management of patients with severe heart failure.

Estimation of extravascular lung water using the transpulmonary ultrasound dilution (TPUD) method: a validation study in neonatal lambs.

Journal of clinical monitoring and computing
Increased extravascular lung water (EVLW) may contribute to respiratory failure in neonates. Accurate measurement of EVLW in these patients is limited due to the lack of bedside methods. The aim of this pilot study was to investigate the reliability ...

Herpes simplex virus in bronchoalveolar lavage fluid of medical intensive care unit patients: Association with lung injury and outcome.

Journal of critical care
PURPOSE: In intensive care unit (ICU) patients in whom bronchoalveolar lavage fluid (BALF) was analyzed for suspected infectious pulmonary disease, we investigated the association of herpes simplex virus (HSV) in the BALF with lung injury and patient...

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
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...

Quantifying lung ultrasound comets with a convolutional neural network: Initial clinical results.

Computers in biology and medicine
Lung ultrasound comets are "comet-tail" artifacts appearing in lung ultrasound images. They are particularly useful in detecting several lung pathologies and may indicate the amount of extravascular lung water. However, the comets are not always well...

A deep learning model to identify the fluid overload status in critically ill patients based on chest X-ray images.

Polish archives of internal medicine
INTRODUCTION: Recent studies have highlighted adverse outcomes of fluid overload in critically ill patients. Therefore, its early recognition is essential for the management of these patients.

A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays.

Critical care (London, England)
BACKGROUND: A quantitative assessment of pulmonary edema is important because the clinical severity can range from mild impairment to life threatening. A quantitative surrogate measure, although invasive, for pulmonary edema is the extravascular lung...