ArticleFrontiers in human neuroscience2026
Development of a practical predictive nomogram for cognitive impairment risk following traumatic brain injury: a retrospective cohort study.
Article in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Accurately predicting long-term cognitive impairment following moderate-severe traumatic brain injury (TBI) remains a significant clinical challenge. Existing prognostic tools have limited predictive accuracy for individual-level risk stratification. Objective: To develop a comprehensive prognostic nomogram for predicting cognitive impairment in adults who suffered a moderate-to-severe TBI. Methods: We retrospectively included 482 adults with moderate-to-severe TBI admitted to our hospital. All participants completed the standardized 6-month cognitive function assessments at 6 months following TBI using the Neuropsychological Test Battery. Variables were selected from demographic data, clinical factors, laboratory tests and questionnaire scores. A prediction model was developed through multivariable logistic regression analysis. Results: Cognitive impairment was observed in 28.8% of individuals. The prediction model showed that previous TBI history (OR = 2.002), Marshall CT classification IV (OR = 4.072,)/V (OR = 4.613)/ VI (OR = 5.008), elevated neurological function markers ≥2 (OR = 2.255), elevated proinflammatory cytokines ≥2 (OR = 2.209), Systemic Inflammation Response Index scores (OR = 3.066) and incidence of lower urinary tract symptoms (OR = 4.169), seizures (OR = 5.243) or post-traumatic stress disorders (OR = 5.245) were independent risk factors of cognitive impairment following TBI (all Conclusion: We developed a prognostic nomogram that showed promise for early risk stratification of 6-month cognitive impairment in adults with moderate-severe TBI, utilizing information available during acute hospitalization. While our results were encouraging, external validation in independent, prospective cohorts was required to confirm its generalizability and potential for integration into clinical practice before widespread implementation.
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