Yap-Contributed Study Subject of News Article

tracey yapThe News-Medical.Net article "Study finds irritated skin as strongest predictor of hospital-acquired pressure injury" covers a study to which Tracey L. Yap, associate professor, contributed. The study, "Risk Factors for Hospital-Acquired Pressure Injury (HAPI) In Surgical Critical Care Patients," examined data in electronic health records (EHRs) related to nursing skin assessments, along with other factors, and is published in the November issue of American Journal of Critical Care (AJCC).

Abstract

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.

 

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