Predictors of Acute Mortality After Open Pelvic Fracture : Experience From 37 Patients From A Level I Trauma Center

BACKGROUND: Open pelvic fractures are caused by high-energy traumas and are accompanied by organ injuries. Despite improvements in pre-hospital care, the acute mortality rate following open pelvic fractures remains high. This study aimed to report experiences in managing open pelvic fractures, identify potential independent predictors that contribute to acute mortality in such patients, and generate a scoring formula to predict mortality rate.

METHODS: Open pelvic fracture patients managed during a 42-month period were retrospectively studied. Logistic regression analysis was used to determine predictors of acute mortality. Using the Youden index, threshold values of predictors were selected. Significant predictors were weighted to create a scoring formula. The area under the curve (AUC) was tested in this specific group.

RESULTS: The incidence of open pelvic fractures in all pelvic fractures was 4.9% (37/772), and the overall mortality rate was 21.6% (8/37). All the successfully resuscitated patients entered the reconstruction stage survived and underwent the complete treatment course. Univariate and multivariate logistic regression analyses revealed that the revised trauma score (RTS) was the single independent predictor of acute mortality. A scoring formula was generated following the statistical analysis. The probability of mortality was 0% and 100% when the score was above and below -2, respectively. This model predicted mortality with an AUC of 0.948 (95% confidence interval 0.881-1.000, P < 0.01).

CONCLUSION: The RTS may be a potential predictor of acute mortality in open pelvic fracture patients. Further work would be required to validate the clinical efficacy of the generated scoring formula.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:44

Enthalten in:

World journal of surgery - 44(2020), 11 vom: 06. Nov., Seite 3737-3742

Sprache:

Englisch

Beteiligte Personen:

Tseng, I-Chuan [VerfasserIn]
Chen, I-Jung [VerfasserIn]
Chou, Ying-Chao [VerfasserIn]
Hsu, Yung-Heng [VerfasserIn]
Yu, Yi-Hsun [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 10.06.2021

Date Revised 10.06.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s00268-020-05675-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM31210295X