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Hammerbeck U, Balancy P, Gittins M, Parry-Jones A. Differences in subacute motor recovery after intracerebral haemorrhage and ischaemic stroke: Analysis using the VISTA database cohort. J Stroke Cerebrovasc Dis 2025; 34:108266. [PMID: 40054792 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 02/15/2025] [Accepted: 02/24/2025] [Indexed: 03/12/2025] Open
Abstract
BACKGROUND Motor impairment is a significant contributor to disability after stroke, but recovery is often incomplete. Whether motor recovery differs between intracerebral haemorrhage (ICH), a subgroup of stroke with far worse outcomes, and ischaemic stroke is not clear. METHODS We performed a retrospective observational longitudinal cohort study using individual patient-level data from the Virtual International Stroke Trials Archive (VISTA) database (ICH n=892, ischaemic stroke n=6912). Differences in motor recovery to 90-days were examined between ICH and ischaemic stroke patients with mixed effect regression models adjusted for a priori determined confounders. Motor weakness was measured by NIHSS face, arm and leg sum with secondary analyses of total NIHSS, and NIHSS language score. RESULTS Recovery was observed in all NIHSS domains for both stroke types to 30-days (NIHSSmotorb=-2.78, 95%CI -2.89,-2.68; NIHSStotalb=-5.74, 95%CI -5.92,-5.56; NIHSSlanguageb=-0.28 95%CI -0.31,-0.24) and 90-days (NIHSSmotorb=-3.62, 95%CI -3.69,-3.54; NIHSStotalb=-7.17, 95%CI -7.30,-7.05; NIHSSlanguageb=-0.74, 95%CI -0.78,-0.71). Baseline impairment between groups was well matched with only motor impairment being slightly greater in ICH; NIHSSmotor mean(SD)=13.0 (5.3) vs 12.3 (5.4). To 30-days the extent of recovery was not different between stroke types but recovery to 90-days was greater in ICH for motor and statistically significant for total NIHSS score (b=-0.35, 95%CI -0.71,-0.002). Ischaemic stroke survivors recovered more in NIHSS language domain. CONCLUSIONS Timing and extent of recovery is different between stroke types. Motor recovery in ICH is greater and occurs later. Therefore, the assumption that most recovery occurs within 30-days and proportionality of recovery should be revisited in this population.
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Affiliation(s)
- Ulrike Hammerbeck
- Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, Kings College London, London, SE1 1UL, UK; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK; Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK.
| | - Philippe Balancy
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Matthew Gittins
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK; Centre for Biostatistics, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Adrian Parry-Jones
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK; Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
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Murray ON, Chiuta S, Ryu P, Hanley DF, Patel HC, Harston G, Cootes T, Hammerbeck U, Parry-Jones AR. Corticospinal tract damage on baseline CT predicts motor recovery and functional outcome in intracerebral haemorrhage. Eur Stroke J 2025:23969873251332769. [PMID: 40248961 PMCID: PMC12008156 DOI: 10.1177/23969873251332769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Accepted: 03/20/2025] [Indexed: 04/19/2025] Open
Abstract
INTRODUCTION Corticospinal tract (CST) integrity can predict motor outcome after stroke but requires specialist investigations not routinely performed after intracerebral haemorrhage (ICH). We investigated the feasibility of identifying the CST on routine clinical CT scans, and whether classification of CST overlap with haematoma is associated with motor recovery after ICH. PATIENTS AND METHODS An expert observer, blinded to outcome, manually segmented the CST at the posterior limb of the internal capsule (PLIC) and corona radiata (CR) on diagnostic CT scans from 98 randomly selected MISTIE-III trial participants and determined whether CST overlapped with the haematoma. Multivariable linear regression tested for associations between haematoma CST overlap and the motor component of the National Institutes of Health Stroke Scale (baseline & Day 180, rate of recovery), patient reported motor impairment (Stroke Impact Scale [SIS] domain 1) and activity limitation (SIS domains 6&7) at Day 180, and modified Rankin Scale (mRS) at day 180. Three further readers analysed the same scans and the interobserver variability was assessed. RESULTS Haematoma and CST overlap occurred exclusively in the CR in 6%, the PLIC in 14% and in both in 52% of patients. CR involvement alone was associated with activity limitation on Day 180. Involvement at the PLIC alone or both the PLIC and CR was independently associated with worse motor outcomes (except rate of recovery, where only involvement of both was associated). Although haematoma and CST overlap remained associated with outcome for other readers, the strength of the association decreased with less expertise, and interobserver kappa scores (κ = 0.47 for CR and κ = 0.45 for PLIC) demonstrated only moderate agreement. DISCUSSION AND CONCLUSION Haematoma and CST overlap at the level of the PLIC identified on routine CT scans is independently associated with poor motor outcomes, representing a novel prognostic factor. Given moderate interobserver agreement, a more reliable machine-learning classification would be desirable.
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Affiliation(s)
- Olivia N Murray
- Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
| | - Sacha Chiuta
- School of Medicinal Sciences, University of Manchester, Manchester, UK
| | - Paul Ryu
- Brain Injury Outcomes, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Daniel F Hanley
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | - Timothy Cootes
- Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
| | - Ulrike Hammerbeck
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
- Centre of Human and Applied Physiological Sciences, King’s College London, London, UK
| | - Adrian R Parry-Jones
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
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Zhang H, Hou X, Gou Y, Chen Y, An S, Wei Y, Jiang R, Tian Y, Yuan H. Association Between Prior Antiplatelet Therapy and Prognosis in Patients With Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis. Clin Ther 2024; 46:905-915. [PMID: 39271305 DOI: 10.1016/j.clinthera.2024.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 07/16/2024] [Accepted: 08/12/2024] [Indexed: 09/15/2024]
Abstract
PURPOSE Approximately 20% to 30% of intracerebral hemorrhage (ICH) patients were reported to be on antiplatelet therapy (APT), and association between prior APT and prognosis was unclear. We aimed to clarify the impact of APT on the prognosis of ICH through an updated systematic review and meta-analysis, and to further compare the risk of single APT (SAPT) or dual APT (DAPT) prior to ICH as well as the risk associated with various antiplatelet drugs. METHODS EMBASE, MEDLINE via Ovid SP and Web of Science were searched from inception of each database to November 4, 2023. Included studies reported prognosis in both patients with prior APT and those without. FINDINGS A total of 433,103 patients from 43 studies were included in the meta-analysis. Both univariate and multivariate analyses demonstrated a significant association between prior-APT and an increased mortality risk (odd ratio [OR] 1.43, 95% confidence interval [CI] 1.28-1.59; OR 1.20, 95%CI 1.10-1.30, respectively). The risk was higher in short term follow-up (Univariate OR 1.73, 95%CI 1.22-2.46; Multivariate OR 1.94, 95%CI 1.48-2.55). A notably increased risk of hematoma expansion was also observed in patients previously treated with APT (Univariate OR 1.47, 95%CI 1.12-1.94; Multivariate OR 1.88, 95%CI 1.30-2.71), which were mainly attributed to events within 24 hours. The impact of prior-APT on poor functional outcome was inconsistent between univariate and multivariate analyses. Both direct and indirect comparisons showed that SAPT significantly reduced the risk of mortality (OR 0.67, 95%CI 0.64-0.70; OR 0.84, 95%CI 0.71-0.99) and poor functional outcome (OR 0.84, 95%CI 0.72-0.98; OR 0.81, 95%CI 0.72-0.91) compared to DAPT. IMPLICATIONS Prior-APT increased the risk of mortality and hematoma expansion in patients with ICH. The increased risk of mortality and hematoma expansion was more obvious in the short term follow-up and within 24 hours, respectively. The effect of APT on poor functional outcome exhibited inconsistency between univariate and multivariate analyses, suggesting that further investigation is warranted to clarify this relationship. In comparison with DAPT, SAPT could decrease the risk of mortality and poor functional outcome. Further studies focusing on antiplatelet drug response, racial differences, and specific APT regimens may help verify the influence.
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Affiliation(s)
- Hanxu Zhang
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoran Hou
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China
| | - Yidan Gou
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China
| | - Yanyan Chen
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China
| | - Shuo An
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Yingsheng Wei
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Rongcai Jiang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Ye Tian
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Hengjie Yuan
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China.
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Parry-Jones AR. Hematoma Expansion Shift Analysis: A Novel Approach to Understanding Recombinant Factor VIIa in Intracerebral Hemorrhage. Stroke 2023; 54:2999-3001. [PMID: 38011239 DOI: 10.1161/strokeaha.123.045226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Affiliation(s)
- Adrian R Parry-Jones
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance and University of Manchester, United Kingdom
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Schwarz G, Kanber B, Prados F, Browning S, Simister R, Jäger HR, Ambler G, Gandini Wheeler-Kingshott CAM, Werring DJ. Whole-brain diffusion tensor imaging predicts 6-month functional outcome in acute intracerebral haemorrhage. J Neurol 2023; 270:2640-2648. [PMID: 36806785 PMCID: PMC10129992 DOI: 10.1007/s00415-023-11592-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 01/25/2023] [Accepted: 01/27/2023] [Indexed: 02/23/2023]
Abstract
INTRODUCTION Small vessel disease (SVD) causes most spontaneous intracerebral haemorrhage (ICH) and is associated with widespread microstructural brain tissue disruption, which can be quantified via diffusion tensor imaging (DTI) metrics: mean diffusivity (MD) and fractional anisotropy (FA). Little is known about the impact of whole-brain microstructural alterations after SVD-related ICH. We aimed to investigate: (1) association between whole-brain DTI metrics and functional outcome after ICH; and (2) predictive ability of these metrics compared to the pre-existing ICH score. METHODS Sixty-eight patients (38.2% lobar) were retrospectively included. We assessed whole-brain DTI metrics (obtained within 5 days after ICH) in cortical and deep grey matter and white matter. We used univariable logistic regression to assess the associations between DTI and clinical-radiological variables and poor outcome (modified Rankin Scale > 2). We determined the optimal predictive variables (via LASSO estimation) in: model 1 (DTI variables only), model 2 (DTI plus non-DTI variables), model 3 (DTI plus ICH score). Optimism-adjusted C-statistics were calculated for each model and compared (likelihood ratio test) against the ICH score. RESULTS Deep grey matter MD (OR 1.04 [95% CI 1.01-1.07], p = 0.010) and white matter MD (OR 1.11 [95% CI 1.01-1.23], p = 0.044) were associated (univariate analysis) with poor outcome. Discrimination values for model 1 (0.67 [95% CI 0.52-0.83]), model 2 (0.71 [95% CI 0.57-0.85) and model 3 (0.66 [95% CI 0.52-0.82]) were all significantly higher than the ICH score (0.62 [95% CI 0.49-0.75]). CONCLUSION Our exploratory study suggests that whole-brain microstructural disruption measured by DTI is associated with poor 6-month functional outcome after SVD-related ICH. Whole-brain DTI metrics performed better at predicting recovery than the existing ICH score.
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Affiliation(s)
- G Schwarz
- Neurologia-Stroke Unit ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, and National Hospital for Neurology and Neurosurgery, London, UK
| | - B Kanber
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, UCL, London, UK
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - F Prados
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, UCL, London, UK
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
- E-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - S Browning
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, and National Hospital for Neurology and Neurosurgery, London, UK
| | - R Simister
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, and National Hospital for Neurology and Neurosurgery, London, UK
| | - H R Jäger
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London, UK
| | - G Ambler
- Department of Statistical Science, University College London, Gower Street, London, UK
| | - C A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy
| | - D J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, and National Hospital for Neurology and Neurosurgery, London, UK.
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Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review. Biocybern Biomed Eng 2022. [DOI: 10.1016/j.bbe.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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