ArticleFrontiers in neurology2023
Predictive factors for cerebrocardiac syndrome in patients with severe traumatic brain injury: a retrospective cohort study.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 8 citations in OpenAlex.
- Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.Scientific reports · 2025Article
- Serum RIPK1, Acute Lung Injury, and Outcomes in Severe Traumatic Brain Injury: A Multicenter Prospective Study.Therapeutics and clinical risk management · 2025Article
- Serum Transcription Factor EB Levels in Relation to Poor Neurological Prognosis and Mediation Effect of Stroke-Associated Pneumonia in Acute Intracerebral Hemorrhage: Evidence from a Two-Center Prospective Cohort Study.International journal of general medicine · 2025Article
- Traumatic brain injury: Advances in coagulopathy (Review).Biomedical reports · 2024Review
- Cerebrospinal Fluid and Serum Biomarker Insights in Aneurysmal Subarachnoid Haemorrhage: Navigating the Brain-Heart Interrelationship for Improved Patient Outcomes.Biomedicines · 2023Article
- Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury.Frontiers in neurologyArticle
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objective: Cerebrocardiac syndrome (CCS) is a severe complication of severe traumatic brain injury (sTBI) that carries high mortality and disability rates. Early identification of CCS poses a significant clinical challenge. The main objective of this study was to investigate potential risk factors associated with the development of secondary CCS in patients with sTBI. It was hypothesized that elevated right heart Tei index (TI), lower Glasgow Coma Scale (GCS) scores, and elevated cardiac troponin-I (cTnI) levels would independently contribute to the occurrence of CCS in sTBI patients. Methods: A retrospective cohort study was conducted to identify risk factors for CCS secondary to sTBI. One hundred and fifty-five patients were enrolled with sTBI admitted to the hospital between January 2016 and December 2020 and divided them into a CCS group ( Results: The study revealed that 48.4% of sTBI patients developed secondary CCS. In the multivariate analysis model 1 that does not include NT-proBNP and cTnI, ONSD (OR = 2.582, 95% CI: 1.054-6.327, Conclusions: The study provides valuable insights into the identification of independent risk factors for CCS secondary to sTBI. The findings highlight the significance of right heart Tei index, GCS score, and cTnI as potential predictive factors for CCS in sTBI patients. Further larger-scale studies are warranted to corroborate these findings and to provide robust evidence for the development of early intervention strategies aimed at reducing the incidence of CCS in this patient population.
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