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Brown RB, Tozer DJ, Egle M, Tuladhar AM, de Leeuw FE, Markus HS. How often does white matter hyperintensity volume regress in cerebral small vessel disease? Int J Stroke 2023; 18:937-947. [PMID: 36988075 PMCID: PMC10507994 DOI: 10.1177/17474930231169132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/14/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND AND OBJECTIVES It has been suggested that white matter hyperintensity lesions (WMHs), which typically progress over time, can also regress, and that this might be associated with favorable cognitive performance. We determined the prevalence of WMH regression in patients with cerebral small vessel disease (SVD) and examined which demographic, clinical, and radiological markers were associated with this regression. METHODS We used semi-automated lesion marking methods to quantify WMH volume at multiple timepoints in three cohorts with symptomatic SVD; two with moderate-to-severe symptomatic SVD (the SCANS observational cohort and the control arm of the PRESERVE interventional trial) and one with mild-to-moderate SVD (the RUN DMC observational cohort). Mixed-effects ordered logistic regression models were used to test which factors predicted participants to show WMH regression. RESULTS No participants (0/98) in SCANS, 6/42 (14.3%) participants in PRESERVE, and 6/276 (2.2%) in RUN DMC showed WMH regression. On multivariate analysis, only lower WMH volume (OR: 0.36, 95% CI: 0.23-0.56) and better white matter microstructural integrity assessed by fractional anisotropy using diffusion tensor imaging (OR: 1.55, 95% CI: 1.07-2.24) predicted participant classification as regressor versus stable or progressor. DISCUSSION Only a small proportion of participants demonstrated WMH regression across the three cohorts, when a blinded standardized assessment method was used. Subjects who showed regression had less severe imaging markers of disease at baseline. Our results show that lesion regression is uncommon in SVD and unlikely to be a major factor affecting the use of WMH quantification as an outcome for clinical trials.
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Affiliation(s)
- Robin B Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Daniel J Tozer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Marco Egle
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anil M Tuladhar
- Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Pavey H, Polkey MI, Bolton CE, Cheriyan J, McEniery CM, Wilkinson I, Mohan D, Casaburi R, Miller BE, Tal-Singer R, Fisk M. Circulating testosterone levels and health outcomes in chronic obstructive pulmonary disease: results from ECLIPSE and ERICA. BMJ Open Respir Res 2023; 10:e001601. [PMID: 37316306 PMCID: PMC10277522 DOI: 10.1136/bmjresp-2022-001601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/30/2023] [Indexed: 06/16/2023] Open
Abstract
The relationship of circulating testosterone levels with health outcomes in people with chronic obstructive pulmonary disease (COPD) is unknown. AIM To determine whether serum testosterone levels predict hospitalised acute exacerbations of COPD (H-AECOPD), cardiovascular disease outcome, and mortality in people with COPD. METHODS Separate analyses were carried out on two observational, multicentre COPD cohorts, Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE) and Evaluation of the Role of Inflammation in Chronic Airways Disease (ERICA), both of which had serum testosterone measured using a validated liquid chromatography assay at the same laboratory. Data from 1296 male participants in ECLIPSE and 386 male, 239 female participants in ERICA were analysed. All analyses were sex-specific. Multivariate logistic regression was used to determine associations with H-AECOPD during follow-up (3 years ECLIPSE, 4.5 years ERICA), a composite endpoint of cardiovascular hospitalisation and cardiovascular death, and all-cause mortality. RESULTS Mean (SD) testosterone levels were consistent across cohorts; 459 (197) and 455 (200) ng/dL for males in ECLIPSE and ERICA, respectively, and in ERICA females: 28 (56) ng/dL. Testosterone was not associated with H-AECOPD (ECLIPSE: OR: 0.76, p=0.329, ERICA males: OR (95% CI): 1.06 (0.73 to 1.56), p=0.779, ERICA females: OR: 0.77 (0.52 to 1.12), p=0.178) or cardiovascular hospitalisation and death. Testosterone was associated with all-cause mortality in Global Initiative for Obstructive Lung Disease (GOLD) stage 2 male patients only, in ECLIPSE (OR: 0.25, p=0.007) and ERICA (OR: (95% CI): 0.56 (0.32 to 0.95), p=0.030). CONCLUSIONS Testosterone levels do not relate to H-AECOPD or cardiovascular outcome in COPD, but are associated with all-cause mortality in GOLD stage 2 COPD male patients, although the clinical significance of this finding is uncertain.
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Affiliation(s)
- Holly Pavey
- Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Michael I Polkey
- Department of Respiratory Medicine, Royal Brompton Hospital, London, UK
| | - Charlotte E Bolton
- Centre for Respiratory Research, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Nottingham, UK
| | - Joseph Cheriyan
- Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Carmel M McEniery
- Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ian Wilkinson
- Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Divya Mohan
- Former employee of GSK, Collegeville, Pennsylvania, USA
| | - Richard Casaburi
- Rehabilitation Clinical Trials Center, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | | | | | - Marie Fisk
- Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK
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Wall C, Huang Y, Le EPV, Ćorović A, Uy CP, Gopalan D, Ma C, Manavaki R, Fryer TD, Aloj L, Graves MJ, Tombetti E, Ariff B, Bambrough P, Hoole SP, Rusk RA, Jayne DR, Dweck MR, Newby D, Fayad ZA, Bennett MR, Peters JE, Slomka P, Dey D, Mason JC, Rudd JHF, Tarkin JM. Pericoronary and periaortic adipose tissue density are associated with inflammatory disease activity in Takayasu arteritis and atherosclerosis. Eur Heart J Open 2021; 1:oeab019. [PMID: 34661196 PMCID: PMC8508012 DOI: 10.1093/ehjopen/oeab019] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/26/2021] [Accepted: 08/04/2021] [Indexed: 12/20/2022]
Abstract
AIMS To examine pericoronary adipose tissue (PCAT) and periaortic adipose tissue (PAAT) density on coronary computed tomography angiography for assessing arterial inflammation in Takayasu arteritis (TAK) and atherosclerosis. METHODS AND RESULTS PCAT and PAAT density was measured in coronary (n = 1016) and aortic (n = 108) segments from 108 subjects [TAK + coronary artery disease (CAD), n = 36; TAK, n = 18; atherosclerotic CAD, n = 32; matched controls, n = 22]. Median PCAT and PAAT densities varied between groups (mPCAT: P < 0.0001; PAAT: P = 0.0002). PCAT density was 7.01 ± standard error of the mean (SEM) 1.78 Hounsfield Unit (HU) higher in coronary segments from TAK + CAD patients than stable CAD patients (P = 0.0002), and 8.20 ± SEM 2.04 HU higher in TAK patients without CAD than controls (P = 0.0001). mPCAT density was correlated with Indian Takayasu Clinical Activity Score (r = 0.43, P = 0.001) and C-reactive protein (r = 0.41, P < 0.0001) and was higher in active vs. inactive TAK (P = 0.002). mPCAT density above -74 HU had 100% sensitivity and 95% specificity for differentiating active TAK from controls [area under the curve = 0.99 (95% confidence interval 0.97-1)]. The association of PCAT density and coronary arterial inflammation measured by 68Ga-DOTATATE positron emission tomography (PET) equated to an increase of 2.44 ± SEM 0.77 HU in PCAT density for each unit increase in 68Ga-DOTATATE maximum tissue-to-blood ratio (P = 0.002). These findings remained in multivariable sensitivity analyses adjusted for potential confounders. CONCLUSIONS PCAT and PAAT density are higher in TAK than atherosclerotic CAD or controls and are associated with clinical, biochemical, and PET markers of inflammation. Owing to excellent diagnostic accuracy, PCAT density could be useful as a clinical adjunct for assessing disease activity in TAK.
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Affiliation(s)
- Christopher Wall
- Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Yuan Huang
- EPSRC Centre for Mathematical Imaging in Healthcare, University of Cambridge, Cambridge, UK
| | - Elizabeth P V Le
- Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Andrej Ćorović
- Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Christopher P Uy
- Vascular Sciences, National Heart & Lung Institute, Faculty of Medicine, Imperial College London, Hammersmith Campus, DuCane Road, London, W12 0HS, UK
| | - Deepa Gopalan
- Department of Radiology, Cambridge University Hospitals NHS Trust, Hills Road, Cambridge, CB2 2QQ, UK
- Department of Radiology, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, W12 0HS, UK
| | - Chuoxin Ma
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Roido Manavaki
- Department of Radiology, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Tim D Fryer
- Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Luigi Aloj
- Department of Radiology, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Enrico Tombetti
- Department of biomedical Sciences L. Sacco, Università degli Studi di Milano, Milan, Italy
| | - Ben Ariff
- Department of Radiology, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, W12 0HS, UK
| | - Paul Bambrough
- Department of Cardiology, Royal Papworth Hospital, Cambridge, UK CB2 0AY, UK
| | - Stephen P Hoole
- Department of Cardiology, Royal Papworth Hospital, Cambridge, UK CB2 0AY, UK
| | - Rosemary A Rusk
- Department of Cardiology, Cambridge University Hospitals NHS Trust, Hills Road, Cambridge, CB2 2QQ, UK
| | - David R Jayne
- Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | - David Newby
- Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | - Zahi A Fayad
- BioMedical Engineering & Imaging Institute, Icahn School of Medicine at Mt Sinai, Gustave L. Levy Place, New York, NY 10029-5674, USA
| | - Martin R Bennett
- Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - James E Peters
- Centre for Inflammatory Diseases, Imperial College London, London, UK
| | - Piotr Slomka
- Department of Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Blvd, Los Angeles, CA, 90048, USA
| | - Justin C Mason
- Vascular Sciences, National Heart & Lung Institute, Faculty of Medicine, Imperial College London, Hammersmith Campus, DuCane Road, London, W12 0HS, UK
| | - James H F Rudd
- Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
| | - Jason M Tarkin
- Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 2QQ, UK
- Vascular Sciences, National Heart & Lung Institute, Faculty of Medicine, Imperial College London, Hammersmith Campus, DuCane Road, London, W12 0HS, UK
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