Linear Association Between Hypoalbuminemia and Increased Risk of Acute Respiratory Distress Syndrome in Critically 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.

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

Clinical Nutrition ESPEN ◽

10.1016/j.clnesp.2017.02.005 ◽

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

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Stress-Dose Corticosteroid Therapy for Sepsis and Acute Lung Injury or Acute Respiratory Distress Syndrome in Critically Ill Adults

Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy ◽

10.1592/phco.22.13.1140.33519 ◽

2002 ◽

Vol 22 (9) ◽

pp. 1140-1156 ◽

Cited By ~ 19

Author(s):

Robert MacLaren ◽

Rose Jung

Keyword(s):

Acute Respiratory Distress Syndrome ◽

Acute Lung Injury ◽

Lung Injury ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Distress Syndrome ◽

Dose Corticosteroid ◽

Critically Ill Adults ◽

Ill Adults ◽

Stress Dose

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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

10.31219/osf.io/v5rha ◽

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.

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Pre-Existing Psychiatric Illness Is Associated With an Increased Risk of Delirium in Patients With Acute Respiratory Distress Syndrome

Journal of Intensive Care Medicine ◽

10.1177/08850666211019009 ◽

2021 ◽

pp. 088506662110190

Author(s):

Saminder Singh Kalra ◽

Johnny Jaber ◽

Bashar N. Alzghoul ◽

Ryan Hyde ◽

Sarina Parikh ◽

...

Keyword(s):

Acute Respiratory Distress Syndrome ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Psychiatric Illness ◽

Distress Syndrome ◽

Multivariable Logistic Regression Analysis ◽

Psychiatric Illnesses ◽

Increased Risk ◽

Icu Delirium ◽

The Impact

Background: Patients with acute respiratory distress syndrome (ARDS) are highly susceptible to developing delirium for a multitude of reasons. Previous studies have linked pre-existing depression with an increased risk of postoperative delirium in patients undergoing cardiac and non-cardiac surgery. However, the evidence regarding the association between pre-existing psychiatric illnesses and delirium in ARDS patients is unknown. In this study, we aim to determine the relationship between pre-existing psychiatric illness and the risk of development of delirium amongst ARDS patients. Study Design and Methods: We performed a retrospective study of a mixed group of patients admitted to the intensive care unit (ICU) between January 2016 and December 2019 with a diagnosis of ARDS per the Berlin definition. The study group was divided into 2 cohorts: subjects with delirium and subjects without delirium. Comparison between the 2 groups was conducted to examine the impact of pre-existing psychiatric illnesses including major depressive disorder (MDD), generalized anxiety disorder (GAD), bipolar disorder, schizophrenia, or post-traumatic stress disorder. Multivariable logistic regression analysis was performed adjusting for benzodiazepine use, sedatives, analgesics, sequential organ failure assessment score, and corticosteroid use to determine the association between pre-existing psychiatric disorders and delirium. Results: 286 patients with ARDS were identified; 124 (43%) of whom were diagnosed with ICU delirium. In patients diagnosed with ICU delirium, 49.2% were found to have preexisting psychiatric illnesses, compared to 34.0% without any preexisting psychiatric illness (OR = 1.94, P = 0.01). In a subgroup analysis of individual psychiatric illnesses, GAD and MDD were associated with the development of delirium (OR = 1.88, P = 0.04 and OR = 1.76, P = 0.05 respectively). Interpretation: ARDS patients with preexisting psychiatric illnesses, particularly GAD and MDD are associated with an increased risk of developing ICU delirium. Clinicians should be aware of the effect of psychiatric co-morbidities on developing delirium in critically ill patients.

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

Journal of Clinical Medicine ◽

10.3390/jcm10132935 ◽

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.

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