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Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score

BACKGROUND: We identified risk factors, derived and validated a prognostic score for poor neurological outcome and death for use in cerebral venous thrombosis (CVT). METHODS: We performed an international multicenter retrospective study including consecutive patients with CVT from January 2015 to De...

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Autores principales: Klein, Piers, Shu, Liqi, Nguyen, Thanh N., Siegler, James E., Omran, Setareh Salehi, Simpkins, Alexis N., Heldner, Mirjam, de Havenon, Adam, Aparicio, Hugo J., Abdalkader, Mohamad, Psychogios, Marios, Vedovati, Maria Cristina, Paciaroni, Maurizio, von Martial, Rascha, Liebeskind, David S., de Sousa, Diana Aguiar, Coutinho, Jonathan M., Yaghi, Shadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Stroke Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561213/
https://www.ncbi.nlm.nih.gov/pubmed/36221944
http://dx.doi.org/10.5853/jos.2022.01606
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author Klein, Piers
Shu, Liqi
Nguyen, Thanh N.
Siegler, James E.
Omran, Setareh Salehi
Simpkins, Alexis N.
Heldner, Mirjam
de Havenon, Adam
Aparicio, Hugo J.
Abdalkader, Mohamad
Psychogios, Marios
Vedovati, Maria Cristina
Paciaroni, Maurizio
von Martial, Rascha
Liebeskind, David S.
de Sousa, Diana Aguiar
Coutinho, Jonathan M.
Yaghi, Shadi
author_facet Klein, Piers
Shu, Liqi
Nguyen, Thanh N.
Siegler, James E.
Omran, Setareh Salehi
Simpkins, Alexis N.
Heldner, Mirjam
de Havenon, Adam
Aparicio, Hugo J.
Abdalkader, Mohamad
Psychogios, Marios
Vedovati, Maria Cristina
Paciaroni, Maurizio
von Martial, Rascha
Liebeskind, David S.
de Sousa, Diana Aguiar
Coutinho, Jonathan M.
Yaghi, Shadi
author_sort Klein, Piers
collection PubMed
description BACKGROUND: We identified risk factors, derived and validated a prognostic score for poor neurological outcome and death for use in cerebral venous thrombosis (CVT). METHODS: We performed an international multicenter retrospective study including consecutive patients with CVT from January 2015 to December 2020. Demographic, clinical, and radiographic characteristics were collected. Univariable and multivariable logistic regressions were conducted to determine risk factors for poor outcome, mRS 3-6. A prognostic score was derived and validated. RESULTS: A total of 1,025 patients were analyzed with median 375 days (interquartile range [IQR], 180 to 747) of follow-up. The median age was 44 (IQR, 32 to 58) and 62.7% were female. Multivariable analysis revealed the following factors were associated with poor outcome at 90- day follow-up: active cancer (odds ratio [OR], 11.20; 95% confidence interval [CI], 4.62 to 27.14; P<0.001), age (OR, 1.02 per year; 95% CI, 1.00 to 1.04; P=0.039), Black race (OR, 2.17; 95% CI, 1.10 to 4.27; P=0.025), encephalopathy or coma on presentation (OR, 2.71; 95% CI, 1.39 to 5.30; P=0.004), decreased hemoglobin (OR, 1.16 per g/dL; 95% CI, 1.03 to 1.31; P=0.014), higher NIHSS on presentation (OR, 1.07 per point; 95% CI, 1.02 to 1.11; P=0.002), and substance use (OR, 2.34; 95% CI, 1.16 to 4.71; P=0.017). The derived IN-REvASC score outperformed ISCVT-RS for the prediction of poor outcome at 90-day follow-up (area under the curve [AUC], 0.84 [95% CI, 0.79 to 0.87] vs. AUC, 0.71 [95% CI, 0.66 to 0.76], χ(2) P<0.001) and mortality (AUC, 0.84 [95% CI, 0.78 to 0.90] vs. AUC, 0.72 [95% CI, 0.66 to 0.79], χ(2) P=0.03). CONCLUSIONS: Seven factors were associated with poor neurological outcome following CVT. The INREvASC score increased prognostic accuracy compared to ISCVT-RS. Determining patients at highest risk of poor outcome in CVT could help in clinical decision making and identify patients for targeted therapy in future clinical trials.
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spelling pubmed-95612132022-10-19 Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score Klein, Piers Shu, Liqi Nguyen, Thanh N. Siegler, James E. Omran, Setareh Salehi Simpkins, Alexis N. Heldner, Mirjam de Havenon, Adam Aparicio, Hugo J. Abdalkader, Mohamad Psychogios, Marios Vedovati, Maria Cristina Paciaroni, Maurizio von Martial, Rascha Liebeskind, David S. de Sousa, Diana Aguiar Coutinho, Jonathan M. Yaghi, Shadi J Stroke Original Article BACKGROUND: We identified risk factors, derived and validated a prognostic score for poor neurological outcome and death for use in cerebral venous thrombosis (CVT). METHODS: We performed an international multicenter retrospective study including consecutive patients with CVT from January 2015 to December 2020. Demographic, clinical, and radiographic characteristics were collected. Univariable and multivariable logistic regressions were conducted to determine risk factors for poor outcome, mRS 3-6. A prognostic score was derived and validated. RESULTS: A total of 1,025 patients were analyzed with median 375 days (interquartile range [IQR], 180 to 747) of follow-up. The median age was 44 (IQR, 32 to 58) and 62.7% were female. Multivariable analysis revealed the following factors were associated with poor outcome at 90- day follow-up: active cancer (odds ratio [OR], 11.20; 95% confidence interval [CI], 4.62 to 27.14; P<0.001), age (OR, 1.02 per year; 95% CI, 1.00 to 1.04; P=0.039), Black race (OR, 2.17; 95% CI, 1.10 to 4.27; P=0.025), encephalopathy or coma on presentation (OR, 2.71; 95% CI, 1.39 to 5.30; P=0.004), decreased hemoglobin (OR, 1.16 per g/dL; 95% CI, 1.03 to 1.31; P=0.014), higher NIHSS on presentation (OR, 1.07 per point; 95% CI, 1.02 to 1.11; P=0.002), and substance use (OR, 2.34; 95% CI, 1.16 to 4.71; P=0.017). The derived IN-REvASC score outperformed ISCVT-RS for the prediction of poor outcome at 90-day follow-up (area under the curve [AUC], 0.84 [95% CI, 0.79 to 0.87] vs. AUC, 0.71 [95% CI, 0.66 to 0.76], χ(2) P<0.001) and mortality (AUC, 0.84 [95% CI, 0.78 to 0.90] vs. AUC, 0.72 [95% CI, 0.66 to 0.79], χ(2) P=0.03). CONCLUSIONS: Seven factors were associated with poor neurological outcome following CVT. The INREvASC score increased prognostic accuracy compared to ISCVT-RS. Determining patients at highest risk of poor outcome in CVT could help in clinical decision making and identify patients for targeted therapy in future clinical trials. Korean Stroke Society 2022-09 2022-09-30 /pmc/articles/PMC9561213/ /pubmed/36221944 http://dx.doi.org/10.5853/jos.2022.01606 Text en Copyright © 2022 Korean Stroke Society https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Klein, Piers
Shu, Liqi
Nguyen, Thanh N.
Siegler, James E.
Omran, Setareh Salehi
Simpkins, Alexis N.
Heldner, Mirjam
de Havenon, Adam
Aparicio, Hugo J.
Abdalkader, Mohamad
Psychogios, Marios
Vedovati, Maria Cristina
Paciaroni, Maurizio
von Martial, Rascha
Liebeskind, David S.
de Sousa, Diana Aguiar
Coutinho, Jonathan M.
Yaghi, Shadi
Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
title Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
title_full Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
title_fullStr Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
title_full_unstemmed Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
title_short Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
title_sort outcome prediction in cerebral venous thrombosis: the in-revasc score
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561213/
https://www.ncbi.nlm.nih.gov/pubmed/36221944
http://dx.doi.org/10.5853/jos.2022.01606
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