Critical Care Beds With Continuous Lateral Rotation Therapy to Prevent Ventilator-Associated Pneumonia and Hospital-Acquired Pressure Injury

2019 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
So-Yeon Kang ◽  
Michael J. DiStefano ◽  
Farah Yehia ◽  
Maria V. Koszalka ◽  
William V. Padula
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jenny Alderden ◽  
Allen Cadavero ◽  
Yunchuan “Lucy” Zhao ◽  
Desiree Dougherty ◽  
Se-Hee Jung ◽  
...  

2010 ◽  
Vol 38 (3) ◽  
pp. 1018-1019 ◽  
Author(s):  
Lorenzo Berra ◽  
Massimo Cressoni ◽  
Gianluigi Li Bassi ◽  
Theodor Kolobow ◽  
Mauro Panigada ◽  
...  

2020 ◽  
Vol 47 (5) ◽  
pp. 470-476
Author(s):  
Jenny Alderden ◽  
Mollie Cummins ◽  
Sunniva Zaratkiewicz ◽  
Yunchuan ‘Lucy’ Zhao ◽  
Kathryn Drake ◽  
...  

2010 ◽  
Vol 38 (2) ◽  
pp. 486-490 ◽  
Author(s):  
Thomas Staudinger ◽  
Andja Bojic ◽  
Ulrike Holzinger ◽  
Brigitte Meyer ◽  
Marion Rohwer ◽  
...  

2021 ◽  
Vol 3 (11) ◽  
pp. e0580
Author(s):  
Amy M. Shui ◽  
Phillip Kim ◽  
Vamsi Aribindi ◽  
Chiung-Yu Huang ◽  
Mi-Ok Kim ◽  
...  

2020 ◽  
Vol 29 (6) ◽  
pp. e128-e134
Author(s):  
Jenny Alderden ◽  
Linda J. Cowan ◽  
Jonathan B. Dimas ◽  
Danli Chen ◽  
Yue Zhang ◽  
...  

Background Hospital-acquired pressure injuries disproportionately affect critical care patients. Although risk factors such as moisture, illness severity, and inadequate perfusion have been recognized, nursing skin assessment data remain unexamined in relation to the risk for hospital-acquired pressure injuries. Objective To identify factors associated with hospital-acquired pressure injuries among surgical critical care patients. The specific aim was to analyze data obtained from routine nursing skin assessments alongside other potential risk factors identified in the literature. Methods This retrospective cohort study included 5101 surgical critical care patients at a level I trauma center and academic medical center. Multivariate logistic regression using the least absolute shrinkage and selection operator method identified important predictors with parsimonious representation. Use of specialty pressure redistribution beds was included in the model as a known predictive factor because specialty beds are a common preventive intervention. Results Independent risk factors identified by logistic regression were skin irritation (rash or diffuse, nonlocalized redness) (odds ratio, 1.788; 95% CI, 1.404-2.274; P < .001), minimum Braden Scale score (odds ratio, 0.858; 95% CI, 0.818-0.899; P < .001), and duration of intensive care unit stay before the hospital-acquired pressure injury developed (odds ratio, 1.003; 95% CI, 1.003-1.004; P < .001). Conclusions The strongest predictor was irritated skin, a potentially modifiable risk factor. Irritated skin should be treated and closely monitored, and the cause should be eliminated to allow the skin to heal.


2022 ◽  
Vol 31 (1) ◽  
pp. 42-50
Author(s):  
Phillip Kim ◽  
Vamsi K. Aribindi ◽  
Amy M. Shui ◽  
Sharvari S. Deshpande ◽  
Sachin Rangarajan ◽  
...  

Background Accurately measuring the risk of pressure injury remains the most important step for effective prevention and intervention. Relative contributions of risk factors for the incidence of pressure injury in adult critical care patients are not well understood. Objective To develop and validate a model to identify risk factors associated with hospital-acquired pressure injuries among adult critical care patients. Methods This retrospective cohort study included 23 806 adult patients (28 480 encounters) with an intensive care unit stay at an academic quaternary care center. Patient encounters were randomly split (7:3) into training and validation sets. The training set was used to develop a multivariable logistic regression model using the least absolute shrinkage and selection operator method. The model’s performance was evaluated with the validation set. Results Independent risk factors identified by logistic regression were length of hospital stay, preexisting diabetes, preexisting renal failure, maximum arterial carbon dioxide pressure, minimum arterial oxygen pressure, hypotension, gastrointestinal bleeding, cellulitis, and minimum Braden Scale score of 14 or less. On validation, the model differentiated between patients with and without pressure injury, with area under the receiver operating characteristic curve of 0.85, and performed better than a model with Braden Scale score alone (P < .001). Conclusions A model that identified risk factors for hospital-acquired pressure injury among adult critical care patients was developed and validated using a large data set of clinical variables. This model may aid in selecting high-risk patients for focused interventions to prevent formation of hospital-acquired pressure injuries.


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