Jiawei Zhao,1– 3,* Kai Liu,1– 3,* Qinqin Dai,2– 4 Mengmeng Zhang,2– 4 Shen Li,1– 3 Yuan Gao,1– 3 Hongbing Liu,1– 3 Xin Wang,1– 3 Yuming Xu,1– 3 Bo Song1– 3 

1Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 2NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan Province, People’s Republic of China; 3Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou, Henan Province, People’s Republic of China; 4School of Health and Nursing, Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Bo Song; Yuming Xu, Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China, Email fccsongb@zzu.edu.cn; xuyuming@zzu.edu.cn

Purpose: The serum uric acid to lymphocyte ratio (ULR) is a systemic marker of inflammation, and it has been studied as an indicator of prognosis in cardiovascular disease. This study investigates the relationship between ULR and clinical outcomes in patients with cerebral venous sinus thrombosis (CVST).
Patients and Methods: A total of 636 patients with CVST were included in the study and randomly divided into a training set (n = 445) and a testing set (n = 119) in a ratio of 7:3.Logistic regression analysis was employed to analyze the risk factors for poor outcomes. The nomogram was established using the training dataset, and its predictive performance was assessed with the testing dataset.
Results: ULR accurately predicted poor outcomes in CVST and was linked to a higher likelihood of poor outcomes (OR=1.015, 95% CI: 1.003– 1.026, P = 0.013). Age, infection, intracranial hypertension, coma, and intracerebral hemorrhage were independent predictors of poor outcomes in CVST. Additionally, a new nomogram incorporating ULR was constructed to predict the risk of poor outcomes in CVST patients. The nomogram demonstrated good accuracy and reliability, as shown by the receiver operating characteristic curve, calibration curve, and decision curve analysis.
Conclusion: ULR independently forecasted poor outcomes in patients with CVST. The novel nomogram incorporating ULR could provide CVST patients with personalized risk assessment and treatment plans, leading to improved patient prognosis.

Keywords: serum uric acid to lymphocyte ratio, cerebral venous sinus thrombosis, outcomes, risk factors, nomogram