Nutritional support of critically ill adults and children with acute respiratory distress syndrome: A clinical review

2017 ◽  
Vol 19 ◽  
pp. 1-8
Author(s):  
Mervin Loi ◽  
Justin Wang ◽  
Chengsi Ong ◽  
Jan Hau Lee
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Clinical Review ◽  
Critically Ill ◽  
Nutritional Support ◽  
Distress Syndrome ◽  
Adults And Children ◽  
Critically Ill Adults ◽  
Ill Adults

scholarly journals Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Narathip Reamaroon ◽  
Michael W. Sjoding ◽  
Harm Derksen ◽  
Elyas Sabeti ◽  
Jonathan Gryak ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Critically Ill ◽  
Distress Syndrome ◽  
Chest Radiographs ◽  
Dice Coefficient ◽  
Random Walker ◽  
Critically Ill Adults ◽  
Ill Adults

Abstract Background This study outlines an image processing algorithm for accurate and consistent lung segmentation in chest radiographs of critically ill adults and children typically obscured by medical equipment. In particular, this work focuses on applications in analysis of acute respiratory distress syndrome – a critical illness with a mortality rate of 40% that affects 200,000 patients in the United States and 3 million globally each year. Methods Chest radiographs were obtained from critically ill adults (n = 100), adults diagnosed with acute respiratory distress syndrome (ARDS) (n = 25), and children (n = 100) hospitalized at Michigan Medicine. Physicians annotated the lung field of each radiograph to establish the ground truth. A Total Variation-based Active Contour (TVAC) lung segmentation algorithm was developed and compared to multiple state-of-the-art methods including a deep learning model (U-Net), a random walker algorithm, and an active spline model, using the Sørensen–Dice coefficient to measure segmentation accuracy. Results The TVAC algorithm accurately segmented lung fields in all patients in the study. For the adult cohort, an averaged Dice coefficient of 0.86 ±0.04 (min: 0.76) was reported for TVAC, 0.89 ±0.12 (min: 0.01) for U-Net, 0.74 ±0.19 (min: 0.15) for the random walker algorithm, and 0.64 ±0.17 (min: 0.20) for the active spline model. For the pediatric cohort, a Dice coefficient of 0.85 ±0.04 (min: 0.75) was reported for TVAC, 0.87 ±0.09 (min: 0.56) for U-Net, 0.67 ±0.18 (min: 0.18) for the random walker algorithm, and 0.61 ±0.18 (min: 0.18) for the active spline model. Conclusion The proposed algorithm demonstrates the most consistent performance of all segmentation methods tested. These results suggest that TVAC can accurately identify lung fields in chest radiographs in critically ill adults and children.

First reported case of Weissella confusa abundance in the lung microbiota of a critically ill trauma patient with acute respiratory distress syndrome - caution warranted in the use of the Weissella genus as a probiotic

2020 ◽  
Author(s):  
Sandeep Chakraborty
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Critically Ill ◽  
Distress Syndrome ◽  
Joint Infection ◽  
Starter Cultures ◽  
Trauma Patients ◽  
Virulence Determinants ◽  
Prosthetic Joint

Weissella strains are currently being used for biotechnological and probiotic purposes [1]. While, Weissella hellenica found in flounder intestine had probiotic effects [2], certain species from this genus are opportunistic pathogens in humans. Apart from being implicated in disease in farmed rainbow trout [3], Weissella has been found to cause the following disease in humans.1. endocarditis [4,5]2. bacteraemia [6]3. prosthetic joint infection [7]Whole genome sequences ‘find several virulence determinants such as collagen adhesins, aggregation sub- stances, mucus-binding proteins, and hemolysins in some species’, as well as antibiotic resistance-encoding genes [8]. Caution is warranted in selecting of Weissella strains as starter cultures or probiotics, if at all, since the other option, Lactobacillus, are rarely involved in human disease.Here, the analysis of the lung microbiota in critically ill trauma patients suffering from acute respiratory distress syndrome [9] shows (Accid:ERR1992912) shows complete colonization of Weissella (Fig 1). While, the study mentions ‘significant enrichment of potential pathogens including Streptococcus, Fusobacterium, Prevotella, Haemophilus and Treponema’, there is no reference to the Weissella genus. The percentages of Weissella strains are :confusa=81, soli=7 ,hellenica=5 ,diestrammenae=2. I believe this is the first reported case of Weissella causing ARDS in humans.

scholarly journals Acute Respiratory Distress Syndrome and Time to Weaning Off the Invasive Mechanical Ventilator among Patients with COVID-19 Pneumonia

2021 ◽  
Vol 10 (13) ◽  
pp. 2935
Author(s):  
Jose Bordon ◽  
Ozan Akca ◽  
Stephen Furmanek ◽  
Rodrigo Silva Cavallazzi ◽  
Sally Suliman ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Critical Illness ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Distress Syndrome ◽  
Invasive Mechanical Ventilation ◽  
Overall Mortality

Acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19) pneumonia is the main cause of the pandemic’s death toll. The assessment of ARDS and time on invasive mechanical ventilation (IMV) could enhance the characterization of outcomes and management of this condition. This is a city-wide retrospective study of hospitalized patients with COVID-19 pneumonia from 5 March 2020 to 30 June 2020. Patients with critical illness were compared with those with non-critical illness. We examined the severity of ARDS and other factors associated with (i) weaning patients off IMV and (ii) mortality in a city-wide study in Louisville, KY. Of 522 patients with COVID-19 pneumonia, 219 (41.9%) were critically ill. Among critically ill patients, the median age was 60 years; 53% were male, 55% were White and 32% were African American. Of all critically ill patients, 52% had ARDS, and 38% of these had severe ARDS. Of the 25% of patients who were weaned off IMV, those with severe ARDS were weaned within eleven days versus five days for those without severe ARDS, p = 0.023. The overall mortality for critically ill patients was 22% versus 1% for those not critically ill. Furthermore, the 14-day mortality was 31% for patients with severe ARDS and 12% for patients without severe ARDS, p = 0.019. Patients with severe ARDS versus non-severe ARDS needed twice as long to wean off IMV (eleven versus five days) and had double the 14-day mortality of patients without severe ARDS.

Epidemiology and Outcomes of Critically Ill Children at Risk for Pediatric Acute Respiratory Distress Syndrome

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Steven L. Shein ◽  
Aline B. Maddux ◽  
Margaret J. Klein ◽  
Anoopindar Bhalla ◽  
George Briassoulis ◽  
...  
Keyword(s):  
At Risk ◽  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Critically Ill ◽  
Distress Syndrome ◽  
Critically Ill Children ◽  
Children At Risk
Sign in / Sign up

Export Citation Format

Share Document