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A Retrospective Study Examining the Effectiveness of the Study of the Management of Blunt Chest Wall Trauma (STUMBL) Scoring Tool in Predicting Complications Following Rib Fractures

Year: 2026

Type: article

Abstract: Introduction Blunt thoracic trauma is a significant burden on the United Kingdom's National Health Service. A common scoring system utilised to predict complications and guide management is the STUMBL (Study of the Management of Blunt Chest Wall Trauma) tool. This study evaluates the utility of a STUMBL score of >11 in predicting complications. Methods A retrospective study of patients with rib fractures was conducted at the University Hospitals of North Midlands, a major trauma centre in England. The primary outcome was rib fracture-related complications, defined as the occurrence of ≥1 of the following: 90-day mortality, pulmonary complications (including infection, pleural effusion and empyema, haemothorax, pneumothorax, and pulmonary contusions), ICU admission, or a hospital stay of ≥7 days. The area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for a STUMBL score >11. Optimal cut-off scores for complications and 90-day mortality were also assessed. Results Between 01/06/2021 and 12/09/2023, 438 patients were enrolled in this study. A total of 199 patients were admitted to the hospital. Morbidity and mortality from rib fractures were 37.2% and 9.3%, respectively. The AUROC for a STUMBL score of >11 for all complications was 0.57 (sensitivity = 0.25, specificity = 0.88, PPV = 0.78, NPV = 0.41). The optimal STUMBL score for predicting overall complications and 90-day mortality was 18.5 (AUROC = 0.63) and 17.5 (AUROC = 0.62), respectively. Conclusion The STUMBL score of >11 poorly predicts complications in our population, whereas a score of 18.5 is more predictive. Further research is needed to determine if additional factors can enhance the utility of the STUMBL tool.

Source: Cureus

DOI: 10.7759/cureus.101872

Authors: Amber Ahmed-Issap, Marko Raseta, Kajan Mahendran, Lakshmi Srinivasan, Shilajit Ghosh, Udo Abah

Institutions: Royal Stoke University Hospital, Erasmus MC

Language: English

Topic: Trauma Management and Diagnosis

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7125199932