Relationship Between Baseline Muscle Mass and ICU-Acquired Weakness Upon Hospital Discharge in Critically Ill Mechanically Ventilated Patients

Author(s):  
K.S. Wolfe ◽  
D. Meza ◽  
K. Dugan ◽  
A. Pohlman ◽  
J.B. Hall ◽  
...  
2021 ◽  
Vol 21 (S2) ◽  
Author(s):  
Longxiang Su ◽  
Chun Liu ◽  
Fengxiang Chang ◽  
Bo Tang ◽  
Lin Han ◽  
...  

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.


2012 ◽  
Vol 39 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Ville Jalkanen ◽  
◽  
Runkuan Yang ◽  
Rita Linko ◽  
Heini Huhtala ◽  
...  

2018 ◽  
Vol 13 (3) ◽  
pp. 107-111 ◽  
Author(s):  
Avelino C Verceles ◽  
Waqas Bhatti

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.


2021 ◽  
Vol 104 (2) ◽  
pp. 304-309

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


2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Yongpeng Xie ◽  
Suxia Liu ◽  
Hui Zheng ◽  
Lijuan Cao ◽  
Kexi Liu ◽  
...  

Objective. To identify the clinical correlations between plasma growth differentiation factor-15 (GDF-15), skeletal muscle function, and acute muscle wasting in ICU patients with mechanical ventilation. In addition, to investigate its diagnostic value for ICU-acquired weakness (ICU-AW) and its predictive value for 90-day survival in mechanically ventilated patients. Methods. 95 patients with acute respiratory failure, who required mechanical ventilation therapy, were randomly selected among hospitalized patients from June 2017 to January 2019. The plasma GDF-15 level was detected by ELISA, the rectus femoris cross-sectional area (RFcsa) was measured by ultrasound, and the patient’s muscle strength was assessed using the British Medical Research Council (MRC) muscle strength score on day 1, day 4, and day 7. Patients were divided into an ICU-AW group and a non-ICU-AW group according to their MRC-score on the 7th day. The differences in plasma GDF-15 level, MRC-score, and RFcsa between the two groups were compared on the 1st, 4th, and 7th day after being admitted to the ICU. Then, the correlations between plasma GDF-15 level, RFcsa loss, and MRC-score on day 7 were investigated. The receiver operating characteristic curve (ROC) was used to analyze the plasma GDF-15 level, RFcsa loss, and % decrease in RFcsa on the 7th day to the diagnosis of ICU-AW in mechanically ventilated patients. Moreover, the predictive value of GDF-15 on the 90-day survival status of patients was assessed using patient survival curves. Results. Based on whether the 7th day MRC-score was <48, 50 cases were included in the ICU-AW group and 45 cases in the non-ICU-AW group. The length of mechanical ventilation, ICU length of stay, and hospital length of stay were significantly longer in the ICU-AW group than in the non-ICU-AW group (all P<0.05), while the other baseline indicators were not statistically significant between the two groups. As the treatment time increased, the plasma GDF-15 level was significantly increased, the ICU-AW group demonstrated a significant decreasing trend in the MRC-score and RFcsa, while no significant changes were found in the non-ICU-AW group. In the ICU-AW group, the plasma GDF-15 level was significantly higher than that in the non-ICU-AW group, while the RFcsa and the MRC-score were significantly lower than those in the non-ICU-AW group (GDF-15 (pg/ml): 2542.44 ± 629.38 vs. 1542.86 ± 502.86; RFcsa (cm2): 2.04 ± 0.64 vs. 2.34 ± 0.61; MRC-score: 41.22 ± 3.42 vs. 51.42 ± 2.72, all P<0.001). The plasma GDF-15 level was significantly negatively correlated with the MRC-score (r = −0.60), while it was significantly positively correlated with the RFcsa loss (r = 0.18) and the % decrease in RFcsa (r = 0.16). Moreover, the RFcsa loss was significantly negatively correlated with the MRC-score (r = −0.27) (all P<0.001). The ROC curve analysis showed that plasma GDF-15 level, RFcsa loss, and % decrease in RFcsa on day 7 had predictive value for ICU-AW diagnosis in mechanically ventilated patients. More specifically, the area under the ROC curve (AUC) of GDF-15 was 0.904, the AUC of RFcsa loss was 0.873, and the AUC of % decrease in RFcsa was 0.886 (all P<0.001). The 90-day survival curve demonstrated that the survival rate of the high plasma GDF-15 level group was 54.00%, while that of the low plasma GDF-15 level group was 75.56%. The difference between the two groups was statistically significant (P<0.05). Conclusion. The plasma GDF-15 concentration level was significantly associated with skeletal muscle function and muscle wasting on day 7 in ICU patients with mechanical ventilation. Therefore, it can be concluded that the plasma GDF-15 level on the 7th day has a high diagnostic yield for ICU-acquired muscle weakness, and it can predict the 90-day survival status of ICU mechanically ventilated patients.


CHEST Journal ◽  
2015 ◽  
Vol 148 (4) ◽  
pp. 920A
Author(s):  
Ena Gupta ◽  
Furqan Siddiqi ◽  
Ryan Kunjal ◽  
Muhammad Faisal ◽  
Farah Al-Saffar ◽  
...  

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