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

Publication date

2023-08

Authors

Kobes, Tim
Terpstra, A. M.
IJpma, F. F.A.
Leenen, L. P.H.ORCID 0000-0001-8385-1801ISNI 0000000390070047
Houwert, Roderick M.ISNI 0000000389377375
van Wessem, KarlijnORCID 0000-0002-1166-0990ISNI 0000000393699019
Groenwold, Rolf H.H.ISNI 0000000394374611
van Baal, Mark C.P.M.

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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.

Keywords

External validation, Nosocomial pneumonia, Prediction model, Recalibration, Trauma patients, Surgery, Orthopedics and Sports Medicine

Citation

Kobes, T, Terpstra, A M, IJpma, F F A, Leenen, L P H, Houwert, R M, van Wessem, K J P, Groenwold, R H H & van Baal, M C P M 2023, 'A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia', Archives of Orthopaedic and Trauma Surgery, vol. 143, no. 8, pp. 4933-4941. https://doi.org/10.1007/s00402-023-04766-5