scholarly journals Analysis of sound waves recorded with the VRI pulmonary acoustic monitoring system in critically ill mechanically ventilated patients

Critical Care ◽  
2010 ◽  
Vol 14 (Suppl 1) ◽  
pp. P170
Author(s):  
S Lev ◽  
YA Glickman ◽  
M Shapiro ◽  
PS Singer
Keyword(s):  
Critically Ill ◽  
Monitoring System ◽  
Acoustic Monitoring ◽  
Sound Waves ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Ventilated Patients

scholarly journals Selection strategy for sedation depth in critically ill patients on mechanical ventilation

2021 ◽  
Vol 21 (S2) ◽  
Author(s):  
Longxiang Su ◽  
Chun Liu ◽  
Fengxiang Chang ◽  
Bo Tang ◽  
Lin Han ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Dimensionality Reduction ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Sedation And Analgesia ◽  
Ventilated Patients

Abstract Background Analgesia and sedation therapy are commonly used for critically ill patients, especially mechanically ventilated patients. From the initial nonsedation programs to deep sedation and then to on-demand sedation, the understanding of sedation therapy continues to deepen. However, according to different patient’s condition, understanding the individual patient’s depth of sedation needs remains unclear. Methods The public open source critical illness database Medical Information Mart for Intensive Care III was used in this study. Latent profile analysis was used as a clustering method to classify mechanically ventilated patients based on 36 variables. Principal component analysis dimensionality reduction was used to select the most influential variables. The ROC curve was used to evaluate the classification accuracy of the model. Results Based on 36 characteristic variables, we divided patients undergoing mechanical ventilation and sedation and analgesia into two categories with different mortality rates, then further reduced the dimensionality of the data and obtained the 9 variables that had the greatest impact on classification, most of which were ventilator parameters. According to the Richmond-ASS scores, the two phenotypes of patients had different degrees of sedation and analgesia, and the corresponding ventilator parameters were also significantly different. We divided the validation cohort into three different levels of sedation, revealing that patients with high ventilator conditions needed a deeper level of sedation, while patients with low ventilator conditions required reduction in the depth of sedation as soon as possible to promote recovery and avoid reinjury. Conclusion Through latent profile analysis and dimensionality reduction, we divided patients treated with mechanical ventilation and sedation and analgesia into two categories with different mortalities and obtained 9 variables that had the greatest impact on classification, which revealed that the depth of sedation was limited by the condition of the respiratory system.

SuPAR and PAI-1 in critically ill, mechanically ventilated patients

2012 ◽  
Vol 39 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Ville Jalkanen ◽  
◽  
Runkuan Yang ◽  
Rita Linko ◽  
Heini Huhtala ◽  
...  
Keyword(s):  
Critically Ill ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Pai 1 ◽  
Ventilated Patients

scholarly journals The ethical concerns of seeking consent from critically ill, mechanically ventilated patients for research – A matter of possessing capacity or surrogate insight

2018 ◽  
Vol 13 (3) ◽  
pp. 107-111 ◽  
Author(s):  
Avelino C Verceles ◽  
Waqas Bhatti
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Informed Consent ◽  
Critically Ill ◽  
Ethical Issues ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Ethical Concerns ◽  
Multiple Factors ◽  
Ventilated Patients

Conducting clinical research on subjects admitted to intensive care units is challenging, as they frequently lack the capacity to provide informed consent due to multiple factors including intensive care unit acquired delirium, coma, the need for sedation, or underlying critical illness. However, the presence of one or more of these characteristics does not automatically designate a potential subject as lacking capacity to provide their own informed consent. We review the ethical issues involved in obtaining informed consent for medical research from mechanically ventilated, critically ill patients, in addition to the concerns that may arise when a legally authorized representative is asked to provide informed consent on behalf of these patients.

The Feasibility of Objective Sleep-Quality Assessment in an ICU Setting

2021 ◽  
Vol 104 (2) ◽  
pp. 304-309
Keyword(s):  
Mechanical Ventilation ◽  
Respiratory Failure ◽  
Sleep Quality ◽  
Acute Respiratory Failure ◽  
Critically Ill ◽  
Sleep Stages ◽  
Poor Sleep ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Ventilated Patients

Background: Sleep disruptions frequently occur in hospitalized patients, especially with critically ill, mechanically ventilated patients. Severely altered sleep architectures result in unclassifiable sleep stages as listed by the conventional Rechtschaffen and Kales (R&K) criteria, and a new classification for sleep scoring including atypical sleep (AS) and pathological wakefulness (PW) has recently been proposed. Objective: To demonstrate the feasibility of performing objective sleep qualification in patients receiving mechanical ventilation due to acute respiratory failure. Materials and Methods: In the present prospective cohort study, polysomnography was performed in 38 patients requiring invasive mechanical ventilation due to acute respiratory failure at the respiratory care unit (RCU) of Siriraj Hospital between February and December 2017. Their sleep stages were analyzed by conventional rules and the new classifications of AS and PW. The associations between the presence of AS or PW and the patients’ characteristics were analyzed. Correlations between sleep quality and clinical parameters were also determined. Results: Most of the patients had poor sleep quality with median sleep efficiency (IQR) of 35.9% (18.5, 62.3) and significantly decreased slowwave sleep [median (IQR) 0.4% (0.00, 5.70)] and REM [median (IQR) 1.3% (0.00, 6.43)]. According to the new classifications, 14 out of 38 (prevalence of 36.8%) mechanically ventilated patients had AS. The prevalence of PW and either AS or PW were 36.8% and 52.6%, respectively. A higher baseline respiratory rate was observed among patients who had either AS or PW at 24 versus 20 breaths/minute (p=0.02), while a longer duration of mechanical ventilator support was found in patients with PW at nine versus five (p=0.003). Patient-ventilator asynchrony was also noted in all patients. Conclusion: Sleep quality among critically ill and mechanically ventilated patients was severely disturbed. A higher prevalence of AS and PW were noted. The technical feasibility of sleep recording in Thai intensive care unit (ICU) settings was established. Keywords: Polysomnography, Atypical sleep, ICU

Effect of Aspirin on Prevention of Venous Thromboembolism in Critically Ill Mechanically Ventilated Patients

CHEST Journal ◽  
2015 ◽  
Vol 148 (4) ◽  
pp. 920A
Author(s):  
Ena Gupta ◽  
Furqan Siddiqi ◽  
Ryan Kunjal ◽  
Muhammad Faisal ◽  
Farah Al-Saffar ◽  
...  
Keyword(s):  
Venous Thromboembolism ◽  
Critically Ill ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Ventilated Patients
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