Background Critically ill patients have a variety of unique risk factors for pressure injury. Identification of these risk factors is essential to prevent pressure injury in this population. Objective To identify factors predicting the development of pressure injury in critical care patients using a large data set from the PhysioNet MIMIC-III (Medical Information Mart for Intensive Care) clinical database. Methods Data for 1460 patients were extracted from the database. Variables that were significant in bivariate analyses were used in a final logistic regression model. A final set of significant variables from the logistic regression was used to develop a decision tree model. Results In regression analysis, cardiovascular disease, peripheral vascular disease, pneumonia or influenza, cardiovascular surgery, hemodialysis, norepinephrine administration, hypotension, septic shock, moderate to severe malnutrition, sex, age, and Braden Scale score on admission to the intensive care unit were all predictive of pressure injury. Decision tree analysis revealed that patients who received norepinephrine, were older than 65 years, had a length of stay of 10 days or less, and had a Braden Scale score of 15 or less had a 63.6% risk of pressure injury. Conclusion Determining pressure injury risk in critically ill patients is complex and challenging. One common pathophysiological factor is impaired tissue oxygenation and perfusion, which may be nonmodifiable. Improved risk quantification is needed and may be realized in the near future by leveraging the clinical information available in the electronic medical record through the power of predictive analytics.

Background Vasopressors are lifesaving agents used to raise mean arterial pressure in critically ill patients in shock states. The pharmacodynamics of these agents suggest vasopressors may play a role in development of pressure ulcers; however, this aspect has been understudied. Objective To examine associations between type, dose, and duration of vasopressors (norepinephrine, epinephrine, vasopressin, phenylephrine, dopamine) and development of pressure ulcers in medical-surgical and cardiothoracic intensive care unit patients and to examine predictors of the development of pressure ulcers in these patients. Methods A retrospective correlational design was used in a sample of 306 medical-surgical and cardiothoracic intensive care unit patients who received vasopressor agents during 2012. Results Norepinephrine and vasopressin were significantly associated with development of pressure ulcers; vasopressin was the only significant predictor in multivariate analysis. In addition, mean arterial pressure less than 60 mm Hg in patients receiving vasopressors, cardiac arrest, and mechanical ventilation longer than 72 hours were predictive of development of pressure ulcers. Patients with a cardiac diagnosis at the time of admission to the intensive care unit were less likely than patients without such a diagnosis to experience pressure ulcers while in the unit. Conclusion The addition of vasopressin administered concomitantly with a first-line agent (often norepinephrine) may represent the point at which the risk for pressure ulcers escalates and may be an early warning to heighten strategies to prevent pressure ulcers. Conversely, because vasopressors cannot be terminated to avert development of pressure ulcers, these findings may add to the body of knowledge on factors that potentially contribute to the development of unavoidable pressure ulcers.

Background Pressure ulcers are one of the most underrated conditions in critically ill patients. Despite the introduction of clinical practice guidelines and advances in medical technology, the prevalence of pressure ulcers in hospitalized patients continues to escalate. Currently, consensus is lacking on the most important risk factors for pressure ulcers in critically ill patients, and no risk assessment scale exclusively for pressure ulcers in these patients is available. Objective To determine which risk factors are most predictive of pressure ulcers in adult critical care patients. Risk factors investigated included total score on the Braden Scale, mobility, activity, sensory perception, moisture, friction/shear, nutrition, age, blood pressure, length of stay in the intensive care unit, score on the Acute Physiology and Chronic Health Evaluation II, vasopressor administration, and comorbid conditions. Methods A retrospective, correlational design was used to examine 347 patients admitted to a medical-surgical intensive care unit from October 2008 through May 2009. Results According to direct logistic regression analyses, age, length of stay, mobility, friction/shear, norepinephrine infusion, and cardiovascular disease explained a major part of the variance in pressure ulcers. Conclusion Current risk assessment scales for development of pressure ulcers may not include risk factors common in critically ill adults. Development of a risk assessment model for pressure ulcers in these patients is warranted and could be the foundation for development of a risk assessment tool.