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Predicting Genitourinary Injuries in Polytraumatized Patients-Development of the GUIPP Scoring System.
Mair, Olivia; Müller, Michael; Rittstieg, Philipp; Zehnder, Philipp; Lefering, Rolf; Biberthaler, Peter; Wenk, Maren J; Hanschen, Marc.
Afiliação
  • Mair O; Department of Trauma Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Müller M; Department of Trauma Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Rittstieg P; Department of Trauma Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Zehnder P; Department of Trauma Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Lefering R; Faculty of Health, IFOM-Institute for Research in Operative Medicine, University Witten/Herdecke, 51109 Cologne, Germany.
  • Biberthaler P; Department of Trauma Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Wenk MJ; Department of Urology and Urological Surgery, University Medical Center Mannheim, 68135 Mannheim, Germany.
  • Hanschen M; Department of Trauma Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • The TraumaRegister Dgu; Committee on Emergency Medicine, Intensive Care and Trauma Management (Sektion NIS) of the German Trauma Society, 80538 Munich, Germany.
J Clin Med ; 12(23)2023 Nov 27.
Article em En | MEDLINE | ID: mdl-38068393
BACKGROUND: The genitourinary system is not as commonly affected as many other organ systems in severely injured patients. Although a delayed and missed diagnosis of genitourinary injuries (GUIs) can severely compromise long-term outcomes, these injuries are frequently overlooked. Therefore, we present a scoring system designed to assist emergency physicians in diagnosing GUIs in severely injured patients. METHODS: The data were obtained from the TraumaRegister DGU® from the years 2015-2021. All severely injured patients (ISS ≥ 16) ≥16 years of age and treated in Germany, Austria, or Switzerland were included in this study. We excluded patients who were transferred out early (48 h), and all patients with isolated traumatic brain injury. After the univariate analysis of the relevant predictive factors, we developed a scoring system using a binary logistic regression model. RESULTS: A total of 70,467 patients were included in this study, of which 4760 (6.8%) sustained a GUI. Male patients (OR: 1.31, 95% CI [1.22, 1.41]) injured in motorcycle accidents (OR: 1.70, 95% CI [1.55, 1.87]), who were under 60 years of age (OR: 1.59, 95% CI [1.49, 1.71]) and had sustained injuries in multiple body regions (OR: 6.63, 95% CI [5.88, 7.47]), and suffered severe pelvic girdle injuries (OR: 2.58, 95% CI [2.29, 2.91]) had the highest odds of sustaining a GUI. With these predictive factors combined, a novel scoring system, the GUIPP score, was developed. It showed good validity, with an AUC of 0.722 (95% CI [0.71; 0.73]). CONCLUSION: Predicting GUI in severely injured patients remains a challenge for treating physicians, but is extremely important to prevent poor outcomes for affected patients. The GUIPP score can be utilized to initiate appropriate diagnostic steps early on in order to reduce the delayed and missed diagnosis of GUI, with scores ≥ 9 points making GUIs very likely.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Suíça