Klara Najmanova1, Charlotte Neuhauser1, Jörg Krebs1, Michael Baumberger1, Dirk Johannes Schaefer2, Clara O Sailer3,4, Reto Wettstein2, Anke Scheel-Sailer5,6. 1. Swiss Paraplegic Centre, Nottwil, Switzerland. 2. Department of Plastic, Reconstructive, Aesthetic and Hand Surgery, University Hospital of Basel, Basel, Switzerland. 3. Department of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland. 4. Department of Clinical Research, University of Basel, Basel, Switzerland. 5. Swiss Paraplegic Centre, Nottwil, Switzerland. anke.scheel-sailer@paraplegie.ch. 6. Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland. anke.scheel-sailer@paraplegie.ch.
Abstract
STUDY DESIGN: Prospective observational cohort study. OBJECTIVES: First, describe pressure injury (PI) and associated risk factors in individuals with spinal cord injury/disorder (SCI/D) during first rehabilitation. Second, evaluate a prediction model for hospital acquired PI (HAPI) development. SETTING: Acute care and rehabilitation clinic specialized in SCI/D. METHODS: Patients ≥18 years of age with SCI/D were included during first rehabilitation between 08/2018 and 12/2019. We performed a systematic literature search to identify risk factors for PI development. Patients were classified according to HAPI developed. Between group differences of patients' characteristics and risk factors were analyzed using descriptive statistics. Logistic predictive models were performed to estimate HAPI development and receiver operator characteristic (ROC) curve was used to test the model. RESULTS: In total, 94 patients were included, 48 (51.1%) developed at least one HAPI and in total 93 were observed, mainly stage I and stage II HAPI according to the European Pressure Ulcer Advisory Panel. We found nine significantly associated risk factors: completeness of SCI/D, pneumonia, sedative medications, autonomic dysreflexia, Braden ≤12 points, SCIPUS ≥9 points, lower admission SCIM and lower admission FIM-cognition, longer length of stay (LOS) (p ≤ 0.0005). In a predictive model, none of the risk factors was associated with HAPI development (AUC = 0.5). CONCLUSION: HAPIs in patients with SCI/D during first rehabilitation are a frequent and complex condition and associated with several risk factors. No predictive model exists but with the identified risk factors of this study, larger studies can create a tailored and flexible HAPI risk prediction model.
STUDY DESIGN: Prospective observational cohort study. OBJECTIVES: First, describe pressure injury (PI) and associated risk factors in individuals with spinal cord injury/disorder (SCI/D) during first rehabilitation. Second, evaluate a prediction model for hospital acquired PI (HAPI) development. SETTING: Acute care and rehabilitation clinic specialized in SCI/D. METHODS: Patients ≥18 years of age with SCI/D were included during first rehabilitation between 08/2018 and 12/2019. We performed a systematic literature search to identify risk factors for PI development. Patients were classified according to HAPI developed. Between group differences of patients' characteristics and risk factors were analyzed using descriptive statistics. Logistic predictive models were performed to estimate HAPI development and receiver operator characteristic (ROC) curve was used to test the model. RESULTS: In total, 94 patients were included, 48 (51.1%) developed at least one HAPI and in total 93 were observed, mainly stage I and stage II HAPI according to the European Pressure Ulcer Advisory Panel. We found nine significantly associated risk factors: completeness of SCI/D, pneumonia, sedative medications, autonomic dysreflexia, Braden ≤12 points, SCIPUS ≥9 points, lower admission SCIM and lower admission FIM-cognition, longer length of stay (LOS) (p ≤ 0.0005). In a predictive model, none of the risk factors was associated with HAPI development (AUC = 0.5). CONCLUSION: HAPIs in patients with SCI/D during first rehabilitation are a frequent and complex condition and associated with several risk factors. No predictive model exists but with the identified risk factors of this study, larger studies can create a tailored and flexible HAPI risk prediction model.
Authors: C A Salzberg; D W Byrne; C G Cayten; P van Niewerburgh; J G Murphy; M Viehbeck Journal: Am J Phys Med Rehabil Date: 1996 Mar-Apr Impact factor: 2.159
Authors: Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; David Moher; Irene Petersen; Henrik T Sørensen; Erik von Elm; Sinéad M Langan Journal: PLoS Med Date: 2015-10-06 Impact factor: 11.069