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A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia
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 nos...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374678/ https://www.ncbi.nlm.nih.gov/pubmed/36646943 http://dx.doi.org/10.1007/s00402-023-04766-5 |
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author | 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. |
author_facet | 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. |
author_sort | Kobes, T. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00402-023-04766-5. |
format | Online Article Text |
id | pubmed-10374678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103746782023-07-29 A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia 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. Arch Orthop Trauma Surg Trauma Surgery 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00402-023-04766-5. Springer Berlin Heidelberg 2023-01-17 2023 /pmc/articles/PMC10374678/ /pubmed/36646943 http://dx.doi.org/10.1007/s00402-023-04766-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Trauma Surgery 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. A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
title | A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
title_full | A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
title_fullStr | A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
title_full_unstemmed | A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
title_short | A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
title_sort | recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia |
topic | Trauma Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374678/ https://www.ncbi.nlm.nih.gov/pubmed/36646943 http://dx.doi.org/10.1007/s00402-023-04766-5 |
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