Readmission to hospital after thoracic trauma: better safe than sorry! the predictive read score.
6 affiliations
- 1Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20072, Italy. [email protected].
- 2Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan, 20089, Italy. [email protected].
- 3Thoracic Surgery Unit, IRCCS "Casa Sollievo della Sofferenza" Hospital, Viale Cappuccini, San Giovanni Rotondo, Foggia, Italy.
- 4Thoracic Surgery Unit, Department of Precision and Regenerative Medicine and Jonic Area (DiMePRe-J), University of Bari "Aldo Moro", Bari, Italy.
- 5Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20072, Italy.
- 6Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan, 20089, Italy.
Abstract
Background
Thoracic trauma accounts for approximately 10-15% of trauma admissions and contributes substantially to trauma-related morbidity and mortality. Readmission rates for thoracic trauma have not been investigated thus far; thus, the purpose of this retrospective study is to reduce patient morbidity associated with thoracic trauma by defining readmission rates and predictors of readmission.Methods
Patients admitted between 2019 and 2023 for predominant thoracic trauma were included and followed up for 2 months. Univariate analysis was performed to identify factors associated with readmission. Variables with p < 0.20 were entered into a multivariable logistic regression model and used to derive the weighted READ score.Results
A total of 634 patients were included; the mean age was 62.0 ± 19.2 years; the mean in-hospital stay was 6.5 ± 3.9 days; surgical procedures were needed in 3.8% of the patients, while 29.3% required chest tube placement. The overall mortality was 2.4%. Eighteen (2.8%) patients were readmitted to the hospital at the latest follow-up. The multivariate analysis revealed that a preoperative age > 60 years, low falls, pneumothorax, and pulmonary embolism were independent predictors of readmission. The ability of the derived READ score to predict readmission was tested (AUC: 0.842). The discriminative capacity for the prediction of readmission was compared with that of the Thoracic Trauma Severity and Chest Trauma scores (0.651 and 0.637, respectively; p = 0.0004).Conclusions
Unplanned readmission after thoracic trauma represents a clinically relevant outcome; the proposed prediction model may provide preliminary risk stratification and should be considered exploratory pending external validation for thoracic trauma patients and identify those who may benefit from closer follow-up and improved medical treatment.
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BibTeX
@article{brascia2026readmission,
title = {{Readmission to hospital after thoracic trauma: better safe than sorry! the predictive read score.}},
author = {Debora Brascia and Doroty Sampietro and Graziana Carleo and Mirko Girolamo Cantatore and Maria Luisa Zhurda and Loredana D'Aucelli and Naomi Savarelli and Ondina Pizzuto and Giuseppe Marulli and Angela De Palma},
journal = {Journal of cardiothoracic surgery},
year = {2026},
month = aug,
doi = {10.1186/s13019-026-04536-5},
url = {https://europepmc.org/article/MED/42958374},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Readmission to hospital after thoracic trauma: better safe than sorry! the predictive read score.
AU - Debora Brascia
AU - Doroty Sampietro
AU - Graziana Carleo
AU - Mirko Girolamo Cantatore
AU - Maria Luisa Zhurda
AU - Loredana D'Aucelli
AU - Naomi Savarelli
AU - Ondina Pizzuto
AU - Giuseppe Marulli
AU - Angela De Palma
PY - 2026
DA - 2026/08/01
JO - Journal of cardiothoracic surgery
DO - 10.1186/s13019-026-04536-5
UR - https://europepmc.org/article/MED/42958374
AB - Background Thoracic trauma accounts for approximately 10-15% of trauma admissions and contributes substantially to trauma-related morbidity and mortality. Readmission rates for thoracic trauma have not been investigated thus far; thus, the purpose of this retrospective study is to reduce patient morbidity associated with thoracic trauma by defining readmission rates and predictors of readmission.Methods Patients admitted between 2019 and 2023 for predominant thoracic trauma were included and followed up for 2 months. Univariate analysis was performed to identify factors associated with readmission. Variables with p < 0.20 were entered into a multivariable logistic regression model and used to derive the weighted READ score.Results A total of 634 patients were included; the mean age was 62.0 ± 19.2 years; the mean in-hospital stay was 6.5 ± 3.9 days; surgical procedures were needed in 3.8% of the patients, while 29.3% required chest tube placement. The overall mortality was 2.4%. Eighteen (2.8%) patients were readmitted to the hospital at the latest follow-up. The multivariate analysis revealed that a preoperative age > 60 years, low falls, pneumothorax, and pulmonary embolism were independent predictors of readmission. The ability of the derived READ score to predict readmission was tested (AUC: 0.842). The discriminative capacity for the prediction of readmission was compared with that of the Thoracic Trauma Severity and Chest Trauma scores (0.651 and 0.637, respectively; p = 0.0004).Conclusions Unplanned readmission after thoracic trauma represents a clinically relevant outcome; the proposed prediction model may provide preliminary risk stratification and should be considered exploratory pending external validation for thoracic trauma patients and identify those who may benefit from closer follow-up and improved medical treatment.
SN - 1749-8090
ER -