Abstract

The purpose of this research was to build on previous work regarding predictive factors of acute skin failure (ASF) in the critically ill population. Researchers conducted a retrospective case-control study with a main and validation analysis. Data were extracted from the New York Statewide Planning and Research Cooperative System. For the main analysis, there were 415 cases with a hospital-acquired pressure injury (HAPI) and 194,872 controls without. Researchers then randomly selected 100 cases with a HAPIs and 300 controls without for the validation analysis. A step-up logistic regression model was used. Researchers generated receiver operating characteristic curves for both the main and validation analyses, assessing the overall utility of the regression model. Eleven variables were significantly and independently related to ASF: renal failure (odds ratio [OR], 1.4, P = .003), respiratory failure (OR, 2.2; P = < .001), arterial disease (OR, 2.4; P = .001), impaired nutrition (OR, 2.3; P = < .001), sepsis (OR, 2.2; P = < .001), septic shock (OR, 2.3; P = < .001), mechanical ventilation (OR, 2.5; P = < .001), vascular surgery (OR, 2.2; P = .02), orthopedic surgery (OR, 3.4; P = < .001), peripheral necrosis (OR, 2.5; P = .003), and general surgery (OR, 3.8; P = < .001). The areas under the curve for the main and validation analyses were 0.864 and 0.861, respectively. The final model supports previous work and is consistent with the current definition of ASF in the setting of critical illness.

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