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. 2023 Aug;30(8):2305-2314.
doi: 10.1111/ene.15844. Epub 2023 May 28.

A scoring tool to predict mortality and dependency after cerebral venous thrombosis

Erik Lindgren  1 , Katarzyna Krzywicka  2 , Maria A de Winter  3 , Mayte Sánchez Van Kammen  2 , Mirjam R Heldner  4 , Sini Hiltunen  5 , Diana Aguiar de Sousa  6   7 , Maryam Mansour  8 , Patrícia Canhão  9 , Esme Ekizoğlu  10 , Miguel Rodrigues  11 , Elisa Martins Silva  11 , Carlos Garcia-Esperon  12 , Valentina Arnao  13 , Paolo Aridon  14 , Naaem Moin Simaan  15 , Suzanne M Silvis  2 , Susanna M Zuurbier  2 , Adrian Scutelnic  4 , Mine Sezgin  10 , Andrey Marisovich Alasheev  16 , Andrey Smolkin  16 , Daniel Guisado-Alonso  17 , Nilufer Yesilot  10 , Miguel Barboza  18 , Masoud Ghiasian  8 , Ronen R Leker  15 , Antonio Arauz  19 , Marcel Arnold  4 , Jukka Putaala  5 , Turgut Tatlisumak  1   5 , Jonathan M Coutinho  2 , Katarina Jood  1
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Free article

A scoring tool to predict mortality and dependency after cerebral venous thrombosis

Erik Lindgren et al. Eur J Neurol. 2023 Aug.
Free article

Abstract

Background and purpose: A prognostic score was developed to predict dependency and death after cerebral venous thrombosis (CVT) to identify patients for targeted therapy in future clinical trials.

Methods: Data from the International CVT Consortium were used. Patients with pre-existent functional dependency were excluded. Logistic regression was used to predict poor outcome (modified Rankin Scale score 3-6) at 6 months and Cox regression to predict 30-day and 1-year all-cause mortality. Potential predictors derived from previous studies were selected with backward stepwise selection. Coefficients were shrunk using ridge regression to adjust for optimism in internal validation.

Results: Of 1454 patients with CVT, the cumulative number of deaths was 44 (3%) and 70 (5%) for 30 days and 1 year, respectively. Of 1126 patients evaluated regarding functional outcome, 137 (12%) were dependent or dead at 6 months. From the retained predictors for both models, the SI2 NCAL2 C score was derived utilizing the following components: absence of female-sex-specific risk factor, intracerebral hemorrhage, infection of the central nervous system, neurological focal deficits, coma, age, lower level of hemoglobin (g/l), higher level of glucose (mmol/l) at admission, and cancer. C-statistics were 0.80 (95% confidence interval [CI] 0.75-0.84), 0.84 (95% CI 0.80-0.88) and 0.84 (95% CI 0.80-0.88) for the poor outcome, 30-day and 1-year mortality model, respectively. Calibration plots indicated a good model fit between predicted and observed values. The SI2 NCAL2 C score calculator is freely available at www.cerebralvenousthrombosis.com.

Conclusions: The SI2 NCAL2 C score shows adequate performance for estimating individual risk of mortality and dependency after CVT but external validation of the score is warranted.

Keywords: cerebral venous thrombosis; dependency; follow-up; mortality; outcome; prognosis; risk score; stroke.

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References

REFERENCES

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