Clinical value and prediction efficiency of Neutrophil-to-lymphocyte radio and D-dimer on admission for functional outcome in patients with cerebral venous sinus thrombosis

Autor: Rui Sun, Ge Yin, Wen Wu, Qichao Ding, Zhengsheng Gu, Cunxiu Fan, Chenrui Song, Meng Liang, Xiaobei Liu, Xiaoying Bi
Rok vydání: 2022
DOI: 10.21203/rs.3.rs-1446563/v1
Popis: BACKGROUNDS: Cerebral venous sinus thrombosis (CVST) is a rare subtype of stroke with a variety of clinical manifestations. This study aimed to explore the role of inflammatory factors and the changes of coagulation function at different stage in the prognosis of cerebral venous sinus thrombosis (CVST). METHODS We assessed inflammation and coagulation factors in 137 CVST patients over a 12-year period (2010–2021). The short-term functional outcome was evaluated with the modified Rankin Scale (mRS) at discharge. Patients with CVST were divided into two groups, 102 patients with good functional outcome (mRS score 0–2) and 35 patients with poor functional outcome (mRS score 3–6). Binary logistic regression was performed to identify the potential independent risk factors for functional outcome of patients with CVST. The correlation between each indicator and mRS was assessed. We also use receiver operating characteristic curve (ROC) analysis to evaluate the discriminative ability of significant factors in predicting functional outcome. RESULTS Significantly higher neutrophil to lymphocyte ratio (NLR) and D-dimer levels on admission were observed in patients with poor outcome. After adjustments, NLR and D-dimer on admission remained a significant predictor for unfavorable functional prognosis in CVST patients (NLR: OR [95% CI] 1.243 [1.059–1.459], p = 0.008; D-dimer: OR [95% CI] 1.177 [1.021–1.356], p = 0.025). ROC curve of a prediction model showed that NLR ≥ 2.105 and D-dimer ≥ 0.845 could better predict the unfavorable outcome at discharge. CONCLUSIONS D-dimer and NLR on admission are independent predicators for short-term functional outcome in CVST patients and may be meaningful for better optimizing treatment decisions.
Databáze: OpenAIRE