Predictive Factors for Pressure Ulcers in an Older Adult Population Hospitalized for Hip Fractures: A Prognostic Cohort Study

Male Science Medicine (all); Biochemistry, Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all) 03 medical and health sciences 0302 clinical medicine Risk Factors Odds Ratio Humans Aged Aged, 80 and over Pressure Ulcer Analysis of Variance Hip Fractures Incidence Q R Age Factors Prognosis 3. Good health Hospitalization Orthopedics Italy ROC Curve Medicine Female Research Article
DOI: 10.1371/journal.pone.0169909 Publication Date: 2017-01-09T22:56:21Z
ABSTRACT
Older adult patients with fragility hip fractures constitute a population at high risk for complications, in particular pressure ulcers. The aim was to evaluate the incidence of pressure ulcers and potential predictive factors.A prospective multicentric prognostic cohort study in orthopedic wards in three Italian public hospitals. Participants were all consecutive patients 65 years of age or older diagnosed with a fragility hip fracture. Outcomes were incidence of pressure ulcers. The exposure variables were grouped into three macro areas in order to facilitate reading: "intrinsic" variables, "extrinsic" variables and variables linked to the organization of patient care. One thousand eighty-three older adult patients with fragility hip fractures were enrolled from October 1st, 2013 to January 31st, 2015, and pressure ulcers developed in 22.7%. At multivariate analysis, the following were found to be risk factors: age> 80 years (odds ratio (OR) 1.03; p = 0.015), the length of time a urinary catheter was used (OR 1.013; p<0.001), the length of time pain was present (OR 1.008; p = 0.008), the absence of side rails on the bed (OR 1.668; p = 0.026) and the use of a foam position valve (OR 1.025; p<0.001). Instead, the protective factors were the presence of a caregiver for at least half a day daily (OR 0.994; p = 0.012) and the number of positionings during the postoperative period (OR 0.897; p = 0.008).The study allowed the identification of the patients most at risk for developing pressure ulcers, and the construction of a pragmatic predictive model using significant risk or protective factors in order to reduce the number of pressure ulcers.
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