Novel application of latent class analysis to outcome assessment in traumatic brain injury with multiple injury subtypes or poly-TBI
Distinct poly-TBI classes were associated with increased in-hospital mortality and WLST. Further research with larger datasets will allow for more comprehensive poly-TBI class definitions and outcomes analysis.
Authors
- Michael L. Kelly (ORCID: https://orcid.org/0000-0003-3421-4026)
- Benjamin B. Whiting
- Samuel Doty (ORCID: https://orcid.org/0000-0002-4035-0801)
- Douglas Gunzler (ORCID: https://orcid.org/0000-0003-3786-8578)
- Jordan C. Petitt (ORCID: https://orcid.org/0000-0001-8931-9218)
- Ahmed Kashkoush (ORCID: https://orcid.org/0000-0002-2045-972X)
- Tianqi Xiao
- John Francis (ORCID: https://orcid.org/0000-0003-3603-2015)
- Mary Joan Roach
Institutions
- MetroHealth (US)
- Cleveland Clinic (US)
- Quantitative BioSciences (US)
- MetroHealth Medical Center (US)
- Neurological Surgery (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2024-09-01
- DOI
- https://doi.org/10.3171/2024.5.jns232842
- Citations
- 2
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.38