Literature DB >> 28701501

Blood pressure reduction and noncontrast CT markers of intracerebral hemorrhage expansion.

Andrea Morotti1, Gregoire Boulouis2, Javier M Romero2, H Bart Brouwers2, Michael J Jessel2, Anastasia Vashkevich2, Kristin Schwab2, Mohammad Rauf Afzal2, Christy Cassarly2, Steven M Greenberg2, Reneé Hebert Martin2, Adnan I Qureshi2, Jonathan Rosand2, Joshua N Goldstein2.   

Abstract

OBJECTIVE: To validate various noncontrast CT (NCCT) predictors of hematoma expansion in a large international cohort of ICH patients and investigate whether intensive blood pressure (BP) treatment reduces ICH growth and improves outcome in patients with these markers.
METHODS: We analyzed patients enrolled in the Antihypertensive Treatment of Acute Cerebral Hemorrhage II (ATACH-II) randomized controlled trial. Participants were assigned to intensive (systolic BP <140 mm Hg) vs standard (systolic BP <180 mm Hg) treatment within 4.5 hours from onset. The following NCCT markers were identified: intrahematoma hypodensities, black hole sign, swirl sign, blend sign, heterogeneous hematoma density, and irregular shape. ICH expansion was defined as hematoma growth >33% and unfavorable outcome was defined as modified Rankin Scale score >3 at 90 days. Logistic regression was used to identify predictors of ICH expansion and explore the association between NCCT signs and clinical benefit from intensive BP treatment.
RESULTS: A total of 989 patients were included (mean age 62 years, 61.9% male), of whom 186/869 experienced hematoma expansion (21.4%) and 361/952 (37.9%) had unfavorable outcome. NCCT markers independently predicted ICH expansion (all p < 0.01) with overall accuracy ranging from 61% to 78% and good interrater reliability (k > 0.6 for all markers). There was no evidence of an interaction between NCCT markers and benefit from intensive BP reduction (all p for interaction >0.10).
CONCLUSIONS: NCCT signs reliably identify ICH patients at high risk of hematoma growth. However, we found no evidence that patients with these markers specifically benefit from intensive BP reduction. CLINICALTRIALSGOV IDENTIFIER: NCT01176565.
© 2017 American Academy of Neurology.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28701501      PMCID: PMC5562954          DOI: 10.1212/WNL.0000000000004210

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  31 in total

Review 1.  Options to restrict hematoma expansion after spontaneous intracerebral hemorrhage.

Authors:  Thorsten Steiner; Julian Bösel
Journal:  Stroke       Date:  2009-12-31       Impact factor: 7.914

Review 2.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

3.  Prognosis after ICH: A necessity despite uncertainties.

Authors:  Alejandro A Rabinstein
Journal:  Neurology       Date:  2016-04-15       Impact factor: 9.910

4.  Noncontrast Computed Tomography Hypodensities Predict Poor Outcome in Intracerebral Hemorrhage Patients.

Authors:  Gregoire Boulouis; Andrea Morotti; H Bart Brouwers; Andreas Charidimou; Michael J Jessel; Eitan Auriel; Octavio Pontes-Neto; Alison Ayres; Anastasia Vashkevich; Kristin M Schwab; Jonathan Rosand; Anand Viswanathan; Mahmut E Gurol; Steven M Greenberg; Joshua N Goldstein
Journal:  Stroke       Date:  2016-09-06       Impact factor: 7.914

5.  Computed Tomographic Blend Sign Is Associated With Computed Tomographic Angiography Spot Sign and Predicts Secondary Neurological Deterioration After Intracerebral Hemorrhage.

Authors:  Peter B Sporns; Michael Schwake; Rene Schmidt; André Kemmling; Jens Minnerup; Wolfram Schwindt; Christian Cnyrim; Tarek Zoubi; Walter Heindel; Thomas Niederstadt; Uta Hanning
Journal:  Stroke       Date:  2016-11-22       Impact factor: 7.914

Review 6.  Complications of intracerebral haemorrhage.

Authors:  Joyce S Balami; Alastair M Buchan
Journal:  Lancet Neurol       Date:  2012-01       Impact factor: 44.182

7.  Effect of CTA Tube Current on Spot Sign Detection and Accuracy for Prediction of Intracerebral Hemorrhage Expansion.

Authors:  A Morotti; J M Romero; M J Jessel; H B Brouwers; R Gupta; K Schwab; A Vashkevich; A Ayres; C D Anderson; M E Gurol; A Viswanathan; S M Greenberg; J Rosand; J N Goldstein
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-19       Impact factor: 3.825

Review 8.  Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis.

Authors:  Charlotte Jj van Asch; Merel Ja Luitse; Gabriël Je Rinkel; Ingeborg van der Tweel; Ale Algra; Catharina Jm Klijn
Journal:  Lancet Neurol       Date:  2010-01-05       Impact factor: 44.182

9.  Density and shape as CT predictors of intracerebral hemorrhage growth.

Authors:  Christen D Barras; Brian M Tress; Soren Christensen; Lachlan MacGregor; Marnie Collins; Patricia M Desmond; Brett E Skolnick; Stephan A Mayer; Joseph P Broderick; Michael N Diringer; Thorsten Steiner; Stephen M Davis
Journal:  Stroke       Date:  2009-03-12       Impact factor: 7.914

10.  Swirl sign in intracerebral haemorrhage: definition, prevalence, reliability and prognostic value.

Authors:  Eufrozina Selariu; Elisabet Zia; Marco Brizzi; Kasim Abul-Kasim
Journal:  BMC Neurol       Date:  2012-09-26       Impact factor: 2.474

View more
  39 in total

Review 1.  [Acute treatment of intracerebral hemorrhage].

Authors:  J A Sembill; J B Kuramatsu
Journal:  Med Klin Intensivmed Notfmed       Date:  2019-08-29       Impact factor: 0.840

Review 2.  Computed Tomography Imaging Predictors of Intracerebral Hemorrhage Expansion.

Authors:  Xin-Ni Lv; Lan Deng; Wen-Song Yang; Xiao Wei; Qi Li
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-12       Impact factor: 5.081

3.  Predicting Intracerebral Hemorrhage Expansion With Noncontrast Computed Tomography: The BAT Score.

Authors:  Andrea Morotti; Dar Dowlatshahi; Gregoire Boulouis; Fahad Al-Ajlan; Andrew M Demchuk; Richard I Aviv; Liyang Yu; Kristin Schwab; Javier M Romero; M Edip Gurol; Anand Viswanathan; Christopher D Anderson; Yuchiao Chang; Steven M Greenberg; Adnan I Qureshi; Jonathan Rosand; Joshua N Goldstein
Journal:  Stroke       Date:  2018-04-18       Impact factor: 7.914

Review 4.  Acute Blood Pressure Management in Acute Ischemic Stroke and Spontaneous Cerebral Hemorrhage.

Authors:  Mollie McDermott; Cemal B Sozener
Journal:  Curr Treat Options Neurol       Date:  2018-08-18       Impact factor: 3.598

Review 5.  Impact of Recent Studies for the Treatment of Intracerebral Hemorrhage.

Authors:  Jochen A Sembill; Hagen B Huttner; Joji B Kuramatsu
Journal:  Curr Neurol Neurosci Rep       Date:  2018-08-20       Impact factor: 5.081

6.  Comparison of CT black hole sign and other CT features in predicting hematoma expansion in patients with ICH.

Authors:  Gui-Nv He; Hao-Zhan Guo; Xiong Han; En-Feng Wang; Yan-Qiu Zhang
Journal:  J Neurol       Date:  2018-06-15       Impact factor: 4.849

7.  Integration of Computed Tomographic Angiography Spot Sign and Noncontrast Computed Tomographic Hypodensities to Predict Hematoma Expansion.

Authors:  Andrea Morotti; Gregoire Boulouis; Andreas Charidimou; Kristin Schwab; Christina Kourkoulis; Christopher D Anderson; M Edip Gurol; Anand Viswanathan; Javier M Romero; Steven M Greenberg; Jonathan Rosand; Joshua N Goldstein
Journal:  Stroke       Date:  2018-09       Impact factor: 7.914

8.  Lactate Dehydrogenase Predicts Early Hematoma Expansion and Poor Outcomes in Intracerebral Hemorrhage Patients.

Authors:  Heling Chu; Chuyi Huang; Jing Dong; Xiaobo Yang; Jun Xiang; Qiang Dong; Yuping Tang
Journal:  Transl Stroke Res       Date:  2019-01-31       Impact factor: 6.829

9.  Noncontrast computer tomography-based radiomics model for predicting intracerebral hemorrhage expansion: preliminary findings and comparison with conventional radiological model.

Authors:  Huihui Xie; Shuai Ma; Xiaoying Wang; Xiaodong Zhang
Journal:  Eur Radiol       Date:  2019-08-05       Impact factor: 5.315

10.  Blood pressure and stroke: From incidence to outcome.

Authors:  Simona Lattanzi; Francesco Brigo; Mauro Silvestrini
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-04-07       Impact factor: 3.738

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.