Association of Cerebrospinal Fluid Biomarkers with Submental and Cerebral Hemorrhage: A Case-Control Study.

Objective: This retrospective case-control study aimed to investigate the relationship between cerebrospinal fluid (CSF) biomarkers and subarachnoid hemorrhage (SAH) and cerebral hemorrhage (CH) and to determine whether these biomarkers can predict the risk of hemorrhage. Methods: Patients diagnosed with SAH and CH at Chongqing University Central Hospital between January 2020 and April 2022 were included in this study. CSF-adenosine deaminase (ADA), CSF-lactate (Lac), and CSF-lactate dehydrogenase (LDH) were measured, and their associations with hemorrhage risk were analyzed using multivariable logistic regression models. The predictive value of these biomarkers was evaluated using receiver operating characteristic (ROC) analysis. Results: A total of 114 SAH patients, 105 CH patients, and 53 healthy controls were included in this study. The multivariable analysis revealed that hypertension, CSF-ADA, and CSF-Lac were independent risk factors for SAH, while hypertension and CSF-LDH were independent risk factors for CH. The ROC analysis demonstrated that the combination of CSF-ADA and CSF-Lac had the highest predictive value for SAH (area under the curve = 0.938), while CSF-LDH had the highest predictive value for CH (area under the curve = 0.946). Conclusion: CSF biomarkers, specifically CSF-ADA, CSF-Lac, and CSF-LDH, are valuable predictors of SAH and CH. These biomarkers may assist in diagnosing and managing hemorrhagic stroke in clinical settings.