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A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia

  • T. Kobes*
  • , A. M. Terpstra
  • , F. F.A. IJpma
  • , L. P.H. Leenen
  • , R. M. Houwert
  • , K. J.P. van Wessem
  • , R. H.H. Groenwold
  • , M. C.P.M. van Baal*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

INTRODUCTION: Nosocomial pneumonia has poor prognosis in hospitalized trauma patients. Croce et al. published a model to predict post-traumatic ventilator-associated pneumonia, which achieved high discrimination and reasonable sensitivity. We aimed to externally validate Croce's model to predict nosocomial pneumonia in patients admitted to a Dutch level-1 trauma center.

MATERIALS AND METHODS: This retrospective study included all trauma patients (≥ 16y) admitted for > 24 h to our level-1 trauma center in 2017. Exclusion criteria were pneumonia or antibiotic treatment upon hospital admission, treatment elsewhere > 24 h, or death < 48 h. Croce's model used eight clinical variables-on trauma severity and treatment, available in the emergency department-to predict nosocomial pneumonia risk. The model's predictive performance was assessed through discrimination and calibration before and after re-estimating the model's coefficients. In sensitivity analysis, the model was updated using Ridge regression.

RESULTS: 809 Patients were included (median age 51y, 67% male, 97% blunt trauma), of whom 86 (11%) developed nosocomial pneumonia. Pneumonia patients were older, more severely injured, and underwent more emergent interventions. Croce's model showed good discrimination (AUC 0.83, 95% CI 0.79-0.87), yet predicted probabilities were too low (mean predicted risk 6.4%), and calibration was suboptimal (calibration slope 0.63). After full model recalibration, discrimination (AUC 0.84, 95% CI 0.80-0.88) and calibration improved. Adding age to the model increased the AUC to 0.87 (95% CI 0.84-0.91). Prediction parameters were similar after the models were updated using Ridge regression.

CONCLUSION: The externally validated and intercept-recalibrated models show good discrimination and have the potential to predict nosocomial pneumonia. At this time, clinicians could apply these models to identify high-risk patients, increase patient monitoring, and initiate preventative measures. Recalibration of Croce's model improved the predictive performance (discrimination and calibration). The recalibrated model provides a further basis for nosocomial pneumonia prediction in level-1 trauma patients. Several models are accessible via an online tool.

LEVEL OF EVIDENCE: Level III, Prognostic/Epidemiological Study.

Original languageEnglish
Pages (from-to)4933-4941
Number of pages9
JournalArchives of Orthopaedic and Trauma Surgery
Volume143
Issue number8
DOIs
Publication statusPublished - Aug 2023

Keywords

  • External validation
  • Nosocomial pneumonia
  • Prediction model
  • Recalibration
  • Trauma patients

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