The Novel Biomarkers-Based HALP (Hemoglobin, Albumin, Lymphocyte And Platelet)-Prognostic Model For Acute And Subacute Patients With Cerebral Venous Sinus Thrombosis: A Retrospective Cohort Study

Abstract Background: To evaluate the prognosis values of HALP in acute or subacute cerebral venous sinus thrombosis (CVST), to explore the new prognostic model for CVST.Methods: Consecutive patients who were diagnosed as having acute and subacute CVST were retrospectively investigated. We determined the patients' functional outcomes by modified Rankin Scale (mRS). Multivariate logistic regression analysis was used to assess the relationship between factors and poor functional outcomes. The area under the ROC curve (AUC) was estimated to evaluate the ability of markers and models in predicting clinical prognosis. The prognostic model was presented as nomogram. In addition, the decision curve analysis (DCA) was used to analyze the benefit of this model. Furthermore, survival curves were described by the Kaplan‑Meier analysis. Results: A total of 270 patients were included of which 31 had poor outcome. Multivariable logistic regression analysis demonstrated HALP (OR=0.978, 95%CI: 0.958-0.999, P=0.039) was a protective predictor of outcome. The AUC of HALP was 0.749 (95% CI: 0.633-0.865, P=0.044). DCA demonstrated that this model significantly improved risk prediction at threshold probabilities of CVST at 0 to 85%. Patients with higher HALP (P=0.006) presented higher overall survival rates. Conclusions: HALP may be a potential protective marker in acute and subacute CVST patients. The new prognostic model with HALP had potentially better value for Chinese CVST patients.

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The Novel Biomarkers-Based HALP (Hemoglobin, Albumin, Lymphocyte and Platelet)-Prognostic Model for Acute and Subacute Patients with Cerebral Venous Sinus Thrombosis: A Retrospective Cohort Study

10.21203/rs.3.rs-78715/v1 ◽

2020 ◽

Author(s):

Shen Li ◽

Kai Liu ◽

Yuan Gao ◽

Lu Zhao ◽

Hui Fang ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Functional Outcomes ◽

Prognostic Model ◽

Sinus Thrombosis ◽

Cerebral Venous Sinus Thrombosis ◽

Venous Sinus ◽

Clinical Prognosis ◽

Venous Sinus Thrombosis

Abstract Background and purpose: To evaluate the prognosis values of HALP in acute or subacute cerebral venous sinus thrombosis (CVST), to explore the new prognostic model for CVST.Methods: Consecutive patients who were diagnosed as having acute and subacute CVST were retrospectively investigated. We determined the patients' functional outcomes by modified Rankin Scale (mRS). Multivariate logistic regression analysis was used to assess the relationship between factors and poor functional outcomes. The area under the ROC curve (AUC) was estimated to evaluate the ability of markers and models in predicting clinical prognosis. The prognostic model was presented as nomogram. In addition, the decision curve analysis (DCA) was used to analyze the benefit of this model. Furthermore, survival curves were described by the Kaplan‑Meier analysis. Results: A total of 270 patients were included of which 31 had poor outcome. Multivariable logistic regression analysis demonstrated HALP (OR=0.978, 95%CI: 0.958-0.999, P=0.039) was a protective predictor of outcome. The AUC of HALP was 0.749 (95% CI: 0.633-0.865, P=0.044). DCA demonstrated that this model significantly improved risk prediction at threshold probabilities of CVST at 0 to 85%. Patients with higher HALP (P=0.006) presented higher overall survival rates. Conclusions: HALP may be a potential protective marker in acute and subacute CVST patients. The new prognostic model with HALP had potentially better value for Chinese CVST patients.

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Prognostic Nutritional Index Predicts Clinical Outcome in Patients with Cerebral Venous Sinus Thrombosis

10.21203/rs.3.rs-149813/v1 ◽

2021 ◽

Author(s):

Jiawei Zhao ◽

Kai Liu ◽

Shen Li ◽

Yuan Gao ◽

Lu Zhao ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Poor Prognosis ◽

Sinus Thrombosis ◽

Multivariate Logistic Regression Analysis ◽

Prognostic Nutritional Index ◽

Cerebral Venous Sinus Thrombosis ◽

Multivariate Logistic Regression ◽

Venous Sinus Thrombosis ◽

Nutritional Index

Abstract Background: Lower prognostic nutritional index (PNI) is related to poor prognosis of cardiovascular disease. However, little is known about PNI and its relationship with prognosis in cerebral venous sinus thrombosis (CVST).Methods: From January 2013 to June 2019, we retrospectively identified consecutive CVST patients. We selected patients in acute / subacute phase as subjects. Poor prognosis was defined as modified Rankin Scale (mRS) of 3-6. Multivariate logistic regression analysis was used to confirm if lower PNI was associated with poor prognosis. Results: A total of 297 subjects with 12-month follow-up data were enrolled. Thirty-three (11.1%) had poor outcome. Multivariate logistic regression analysis suggested that PNI was an important predictive factor of poor outcome in acute/subacute CVST (odds ratio, 0.903; 95% CI, 0.833-0.978; P = 0.012). The optimal cut-off value for predicting a poor prognosis of PNI was 44.2. Kaplan-Meier analysis and log-rank test suggested that the lower the PNI value, the higher the mortality rate (P<0.001). In addition, the nomogram we set up showed that lower PNI was an index of poor prognosis. The c-indexes for the cute/subacute patients with CVST was 0.872.Conclusions: Lower PNI is correlated with a higher risk of adverse clinical outcome in patients with acute/subacute CVST.

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Prognostic value of systemic immune–inflammation index in acute/subacute patients with cerebral venous sinus thrombosis

Stroke and Vascular Neurology ◽

10.1136/svn-2020-000362 ◽

2020 ◽

Vol 5 (4) ◽

pp. 368-373

Author(s):

Shen Li ◽

Kai Liu ◽

Yuan Gao ◽

Lu Zhao ◽

Rui Zhang ◽

...

Keyword(s):

Regression Analysis ◽

Cox Regression ◽

Sinus Thrombosis ◽

Cerebral Venous Sinus Thrombosis ◽

Venous Sinus ◽

Cox Regression Analysis ◽

Venous Sinus Thrombosis ◽

Immune Inflammation ◽

Poor Outcomes

ObjectiveTo evaluate the prognosis values of systemic immune–inflammation index (SII) in non-chronic cerebral venous sinus thrombosis (CVST).Methodspatients with CVST, admitted to the First Affiliated Hospital of Zhengzhou University, were retrospectively identified from January 2013 to December 2018. We selected patients in acute/subacute phase from database. Functional outcomes of patients were evaluated with the modified Rankin Scale (mRS)—mRS 3–6 as poor outcomes and mRS 6 as death. The overall survival time was defined as the date of onset to the date of death or last follow-up date. Survival analysis was described by the Kaplan-Meier curve and Cox regression analysis. Multivariate logistic regression analysis assessed the relationship between SII and poor functional outcome. The area under the Receiver Operating Curve curve (AUC) was estimated to evaluate the ability of SII in prediction.ResultsA total of 270 patients were included and their duration of follow-up was 22 months (6–66 months), of whom 31 patients had poor outcomes and 24 patients dead. Cox regression analysis showed that SII (HR=1.304, 95% CI: 1.101 to 1.703, p=0.001) was a predictor of death in non-chronic CVST. Patients with higher SII presented lower survival rates (p=0.003). The AUC of SII was 0.792 (95% CI: 0.695 to 0.888, p=0.040) with a sensitivity of 69.6% and specificity of 80.1%. Subgroups analysis demonstrated that SII was an important predictor of poor outcomes in male (OR=1.303, 95% CI: 1.102 to 1.501, p=0.011) and pregnancy/puerperium female (OR=1.407, 95% CI: 1.204 to 1.703, p=0.034).ConclusionsSII was a potential predictor in the poor prognosis of patients with acute/subacute CVST, especially in male and pregnancy/puerperium female.

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