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Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages

BACKGROUND: Basal ganglia hemorrhage (BG-ICH) and thalamic hemorrhage (TH-ICH) have been historically grouped into a single “deep” hemorrhage group in prior studies. We aimed to assess whether BG-ICH and TH-ICH have different optimal hematoma volume cut points in predicting functional outcome. METHO...

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Autores principales: Nakagawa, Kazuma, King, Sage L., Seto, Todd B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938336/
https://www.ncbi.nlm.nih.gov/pubmed/29765352
http://dx.doi.org/10.3389/fneur.2018.00291
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author Nakagawa, Kazuma
King, Sage L.
Seto, Todd B.
author_facet Nakagawa, Kazuma
King, Sage L.
Seto, Todd B.
author_sort Nakagawa, Kazuma
collection PubMed
description BACKGROUND: Basal ganglia hemorrhage (BG-ICH) and thalamic hemorrhage (TH-ICH) have been historically grouped into a single “deep” hemorrhage group in prior studies. We aimed to assess whether BG-ICH and TH-ICH have different optimal hematoma volume cut points in predicting functional outcome. METHODS: Patients with BG-ICH and TH-ICH with no preexisting disabilities who were enrolled in a single-center intracerebral hemorrhage (ICH) cohort study were studied. The hematoma volume of patients who achieved modified Rankin Scale (mRS) of ≤2 and ≤3 at 3 months were compared between BG-ICH and TH-ICH groups. Receiver operating characteristic (ROC) curves were created to determine the optimal hematoma volume cut points in predicting 3-month mRS of ≤2 and ≤3 for BG-ICH and TH-ICH groups. RESULTS: A total of 135 (81 BG-ICH and 54 TH-ICH) patients were studied. The hematoma volume among those with 3-month mRS ≤ 2 (BG-ICH: 9.5 ± 5.4 cm(3) vs. TH-ICH: 5.1 ± 4.9 cm(3), p = 0.01) and 3-month mRS ≤ 3 (BG-ICH: 14.2 ± 13.4 cm(3) vs. TH-ICH: 4.7 ± 4.1 cm(3), p = 0.001) were smaller in TH-ICH than BG-ICH. The area under the ROC curve in predicting mRS ≤ 2 was 0.838 for BG-ICH (optimal hematoma volume cut point: 18.0 cm(3), sensitivity 72.1%, specificity 95.0%) and 0.802 for TH-ICH (optimal hematoma volume cut point: 4.6 cm(3), sensitivity 83.8%, specificity 70.6%); and in predicting mRS ≤ 3 was 0.826 for BG-ICH (optimal hematoma volume cut point: 28.8 cm(3), sensitivity 71.4%, specificity 93.8%) and 0.902 for TH-ICH (optimal hematoma volume cut point: 5.5 cm(3), sensitivity 92.9%, specificity 76.9%). CONCLUSION: TH-ICH have smaller optimal hematoma volume cut points than BG-ICH in predicting functional outcome.
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spelling pubmed-59383362018-05-14 Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages Nakagawa, Kazuma King, Sage L. Seto, Todd B. Front Neurol Neuroscience BACKGROUND: Basal ganglia hemorrhage (BG-ICH) and thalamic hemorrhage (TH-ICH) have been historically grouped into a single “deep” hemorrhage group in prior studies. We aimed to assess whether BG-ICH and TH-ICH have different optimal hematoma volume cut points in predicting functional outcome. METHODS: Patients with BG-ICH and TH-ICH with no preexisting disabilities who were enrolled in a single-center intracerebral hemorrhage (ICH) cohort study were studied. The hematoma volume of patients who achieved modified Rankin Scale (mRS) of ≤2 and ≤3 at 3 months were compared between BG-ICH and TH-ICH groups. Receiver operating characteristic (ROC) curves were created to determine the optimal hematoma volume cut points in predicting 3-month mRS of ≤2 and ≤3 for BG-ICH and TH-ICH groups. RESULTS: A total of 135 (81 BG-ICH and 54 TH-ICH) patients were studied. The hematoma volume among those with 3-month mRS ≤ 2 (BG-ICH: 9.5 ± 5.4 cm(3) vs. TH-ICH: 5.1 ± 4.9 cm(3), p = 0.01) and 3-month mRS ≤ 3 (BG-ICH: 14.2 ± 13.4 cm(3) vs. TH-ICH: 4.7 ± 4.1 cm(3), p = 0.001) were smaller in TH-ICH than BG-ICH. The area under the ROC curve in predicting mRS ≤ 2 was 0.838 for BG-ICH (optimal hematoma volume cut point: 18.0 cm(3), sensitivity 72.1%, specificity 95.0%) and 0.802 for TH-ICH (optimal hematoma volume cut point: 4.6 cm(3), sensitivity 83.8%, specificity 70.6%); and in predicting mRS ≤ 3 was 0.826 for BG-ICH (optimal hematoma volume cut point: 28.8 cm(3), sensitivity 71.4%, specificity 93.8%) and 0.902 for TH-ICH (optimal hematoma volume cut point: 5.5 cm(3), sensitivity 92.9%, specificity 76.9%). CONCLUSION: TH-ICH have smaller optimal hematoma volume cut points than BG-ICH in predicting functional outcome. Frontiers Media S.A. 2018-05-01 /pmc/articles/PMC5938336/ /pubmed/29765352 http://dx.doi.org/10.3389/fneur.2018.00291 Text en Copyright © 2018 Nakagawa, King and Seto. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Nakagawa, Kazuma
King, Sage L.
Seto, Todd B.
Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages
title Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages
title_full Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages
title_fullStr Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages
title_full_unstemmed Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages
title_short Optimal Hematoma Volume Cut Points to Predict Functional Outcome After Basal Ganglia and Thalamic Hemorrhages
title_sort optimal hematoma volume cut points to predict functional outcome after basal ganglia and thalamic hemorrhages
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938336/
https://www.ncbi.nlm.nih.gov/pubmed/29765352
http://dx.doi.org/10.3389/fneur.2018.00291
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