Risk Factors for Hospital-Acquired Pressure Injury in Adult Critical Care Patients

医学 重症监护室 逻辑回归 急诊医学 回顾性队列研究 接收机工作特性 创伤中心 压力伤 重症监护医学 损伤严重程度评分 心理干预 入射(几何) 外科 内科学 毒物控制 伤害预防 护理部 物理 光学
作者
Phillip Kim,Vamsi Aribindi,Amy M. Shui,Sharvari Deshpande,Sachin Rangarajan,Kaelan Schorger,Janet Aldrich,Hanmin Lee
出处
期刊:American Journal of Critical Care [American Association of Critical-Care Nurses]
卷期号:31 (1): 42-50 被引量:19
标识
DOI:10.4037/ajcc2022657
摘要

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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