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Englert F, Bahlke F, Erhard N, Krafft H, Popa MA, Risse E, Lennerz C, Lengauer S, Telishevska M, Reents T, Kottmaier M, Kolb C, Hessling G, Deisenhofer I, Bourier F. VT ablation based on CT imaging substrate visualization: results from a large cohort of ischemic and non-ischemic cardiomyopathy patients. Clin Res Cardiol 2023:10.1007/s00392-023-02321-1. [PMID: 38112744 DOI: 10.1007/s00392-023-02321-1] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 10/09/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION The eradication of ventricular tachycardia (VT) isthmus sites constitutes the minimal procedural endpoint for VT ablation procedures. Contemporary high-resolution computed tomography (CT) imaging, in combination with computer-assisted analysis and segmentation of CT data, facilitates targeted elimination of VT isthmi. In this context, inHEART offers digitally rendered three-dimensional (3D) cardiac models which allow preoperative planning for VT ablations in ischemic and non-ischemic cardiomyopathies. To date, almost no data have been collected to compare the outcomes of VT ablations utilizing inHEART with those of traditional ablation approaches. METHODS The presented data are derived from a retrospective analysis of n = 108 patients, with one cohort undergoing VT ablation aided by late-enhancement CT and subsequent analysis and segmentation by inHEART, while the other cohort received ablation through conventional methods like substrate mapping and activation mapping. The ablations were executed utilizing a 3D mapping system (Carto3), with the mapping generated via the CARTO® PENTARAY™ NAV catheter and subsequently merged with the inHEART model, if available. RESULTS Results showed more successful outcome of ablations for the inHEART group with lower VT recurrence (27% vs. 42%, p < 0.06). Subsequent analyses revealed that patients with ischemic cardiomyopathies appeared to derive a significant benefit from inHEART-assisted VT ablation procedures, with a higher rate of successful ablation (p = 0.05). CONCLUSION Our findings indicate that inHEART-guided ablation is associated with reduced VT recurrence compared to conventional procedures. This suggests that employing advanced imaging and computational modeling in VT ablation may be valuable for VT recurrences.
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Affiliation(s)
- F Englert
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - F Bahlke
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - N Erhard
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - H Krafft
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - M-A Popa
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - E Risse
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - C Lennerz
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - S Lengauer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - M Telishevska
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - T Reents
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - M Kottmaier
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - C Kolb
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - G Hessling
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - I Deisenhofer
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany
| | - F Bourier
- Department of Electrophysiology, German Heart Center Munich, Technical University of Munich (TUM), Lazarettstr. 36, 80636, Munich, Germany.
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Biller ML, Böhm M, Kolb C, Bucur J, Müller M, Kohnen T. [Pneumocephalus after high-pressure trauma to the conjunctiva]. Ophthalmologie 2023; 120:660-662. [PMID: 35925342 DOI: 10.1007/s00347-022-01671-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/20/2022] [Indexed: 06/13/2023]
Affiliation(s)
- M L Biller
- Klinik für Augenheilkunde, Goethe-Universität Frankfurt am Main, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland.
| | | | | | | | | | - T Kohnen
- Klinik für Augenheilkunde, Goethe-Universität Frankfurt am Main, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland
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Pennington P, Weinstock-Guttman B, Kolb C, Jakimovski D, Sacca K, Benedict RHB, Eckert S, Stecker M, Lizarraga A, Dwyer MG, Schumacher CB, Bergsland N, Picco P, Bernitsas E, Zabad R, Pardo G, Negroski D, Belkin M, Hojnacki D, Zivadinov R. Correction to: Communicating the relevance of neurodegeneration and brain atrophy to multiple sclerosis patients: patient, provider and researcher perspectives. J Neurol 2023; 270:1120-1126. [PMID: 36574066 DOI: 10.1007/s00415-022-11540-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Penny Pennington
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Katherine Sacca
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Ralph H B Benedict
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Svetlana Eckert
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Marc Stecker
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Alexis Lizarraga
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Carol B Schumacher
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Patricia Picco
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | | | - Rana Zabad
- University of Nebraska Medical Center, Omaha, NE, USA
| | - Gabriel Pardo
- Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | | | - Martin Belkin
- Michigan Institute for Neurological Disorders (MIND), Farmington Hills, MI, USA
| | - David Hojnacki
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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4
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Pennington P, Weinstock-Guttman B, Kolb C, Jakimovski D, Sacca K, Benedict RHB, Eckert S, Stecker M, Lizarraga A, Dwyer MG, Schumacher CB, Bergsland N, Picco P, Bernitsas E, Zabad R, Pardo G, Negroski D, Belkin M, Hojnacki D, Zivadinov R. Communicating the relevance of neurodegeneration and brain atrophy to multiple sclerosis patients: patient, provider and researcher perspectives. J Neurol 2023; 270:1095-1119. [PMID: 36376729 DOI: 10.1007/s00415-022-11405-3] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/16/2022]
Abstract
Central nervous system (CNS) atrophy provides valuable additional evidence of an ongoing neurodegeneration independent of lesion accrual in persons with multiple sclerosis (PwMS). However, there are limitations for interpretation of CNS volume changes at individual patient-level. Patients are receiving information on the topic of atrophy through various sources, including media, patient support groups and conferences, and discussions with their providers. Whether or not the topic of CNS atrophy should be proactively discussed with PwMS during office appointments is currently controversial. This commentary/perspective article represents perspectives of PwMS, providers and researchers with recommendations for minimizing confusion and anxiety, and facilitating proactive discussion about brain atrophy, as an upcoming routine measure in evaluating disease progression and treatment response monitoring. The following recommendations were created based on application of patient's and provider's surveys, and various workshops held over a period of 2 years: (1) PwMS should receive basic information on understanding of brain functional anatomy, and explanation of inflammation and neurodegeneration; (2) the expertise for atrophy measurements should be characterized as evolving; (3) quality patient education materials on these topics should be provided; (4) the need for standardization of MRI exams has to be explained and communicated; (5) providers should discuss background on volumetric changes, including references to normal aging; (6) the limitations of brain volume assessments at an individual-level should be explained; (7) the timing and language used to convey this information should be individualized based on the patient's background and disease status; (8) a discussion guide may be a very helpful resource for use by providers/staff to support these discussions; (9) understanding the role of brain atrophy and other MRI metrics may elicit greater patient satisfaction and acceptance of the value of therapies that have proven efficacy around these outcomes; (10) the areas that represent possibilities for positive self-management of MS symptoms that foster hope for improvement should be emphasized, and in particular regarding use of physical and mental exercise that build or maintain brain reserve through increased network efficiency, and (11) an additional time during clinical visits should be allotted to discuss these topics, including creation of specific educational programs.
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Affiliation(s)
- Penny Pennington
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Katherine Sacca
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Ralph H B Benedict
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Svetlana Eckert
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Marc Stecker
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Alexis Lizarraga
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Carol B Schumacher
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Patricia Picco
- Advisory Council, Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | | | - Rana Zabad
- University of Nebraska Medical Center, Omaha, NE, USA
| | - Gabriel Pardo
- Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | | | - Martin Belkin
- Michigan Institute for Neurological Disorders (MIND), Farmington Hills, MI, USA
| | - David Hojnacki
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA. .,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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5
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Martini E, Kantenwein V, Haller B, Telishevska M, Bourier F, Reents T, Kottmaier M, Popa M, Risse E, Lengauer S, Lennerz C, Hessling G, Deisenhofer I, Kolb C. Long term outcome after ablation of persistent atrial fibrillation in patients with postprocedurally unmasked sinus node disease. Europace 2022. [DOI: 10.1093/europace/euac053.208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
About three percent of patients with persistent atrial fibrillation [AF] additionally suffer from a concealed sinus node disease [SND]. We sought to determine the ablation success one year after ablation of persistent AF in patients with postprocedurally unmasked SND.
Methods and Results
In total 2239 patients with an ablation of persistent AF at our center were screened for a postprocedurally unmasked SND, which made cardiac pacing necessary within one week after ablation. In a propensity score matched case control study, the longterm ablation success of 51 patients (mean age 73±8years, 58% male) with postprocedurally unmasked SND after ablation of persistent AF was compared to that of 102 patients without SND after ablation of persistent AF. Controls were matched to cases based on the propensity score considering age, body mass index, left ventricular ejection fraction, gender, blood pressure, diabetes mellitus, atrial low voltage, previous number of ablations and method of ablation.
One year after ablation of persistent AF, 20 (39%) patients with postprocedurally unmasked SND and 61 (60%) patients without postprocedurally unmasked SND were in sinus rhythm (p=0.025). The number of repeat ablation procedures within the follow up year did not differ significantly between cases and controls (0.60±0.68 vs 0.53±0.80, p=0.574).
Conclusion
In patients with a postprocedurally unmasked SND after ablation of persistent AF, longterm ablation success seems to be worse compared to patients without postprocedurally unmasked SND.
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Affiliation(s)
- E Martini
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - V Kantenwein
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - B Haller
- Hospital Rechts der Isar of the TU Munich, Institute of Medical Statistics and Epidemiology, Munich, Germany
| | - M Telishevska
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - F Bourier
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - T Reents
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - M Kottmaier
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - M Popa
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - E Risse
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - S Lengauer
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - C Lennerz
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - G Hessling
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - I Deisenhofer
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - C Kolb
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
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Oconnor M, Schmid P, Knoll K, Schaarschmidt C, Bock M, Bahlke F, Georgi M, Froehlich R, Kottmaier M, Reents T, Bourier F, Hessling G, Deisenhofer I, Kolb C, Lennerz C. Safety and efficacy of transvenous lead extraction using mechanical (non-laser) extraction tools. Europace 2022. [DOI: 10.1093/europace/euac053.543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Introduction
The rate of transvenous lead extraction (TLE) is increasing with an increasing rate of complex devices being implanted. TLE is now a routine part of cardiac device management and up to date data on the safety and efficacy of TLE with modern tools and techniques is essential to management decisions regarding non-infectious indications for lead extraction.
Purpose
To evaluate the safety and efficacy of TLE in a contemporary cohort using mechanical (non-laser) extraction tools.
Methods
We present a contemporary, prospective review of TLE at our high-volume cardiac centre. All patients undergoing TLE from June 2016 and June 2019 were enrolled in our local database and baseline clinical data, procedural information and outcome data were collected.
Results
In total 561 leads were explanted (n=153) or extracted (n=408) from 341 patients over the study period. Patients were predominantly male (71%) with a mean age of 65 ± 17 years. The most common indication for lead removal was lead failure (45.2%, n=154) followed by infection of the pocket or device (29.3%, n=100). The mean dwell time of the 408 extracted leads was 7.2 years; 35% had a dwell time of 5-10 years, 23% had a dwell time >10 years and 4% had a dwell time >20 years (Figure 1). In total, complete success was achieved in 96.4% (n=541) leads, clinical success in a further 2.1% (n=12) and failure only in 1.4% (n=8). Clinical success was high (93%) even in leads with dwell time >20 years (Figure 2). There was an overall complication rate of 0.9% (3/341) for major complications and 1.5% (5/341) for minor complications. There were no deaths.
Conclusions
Our data would suggest that there are ongoing improvements in the safety profile and success rates of lead extraction undertaken by experienced operators now with a major complication rate of <1%.
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Affiliation(s)
- M Oconnor
- Royal Bournemouth Hospital, Bournemouth, United Kingdom of Great Britain & Northern Ireland
| | - P Schmid
- German Heart Centre Munich, Munich, Germany
| | - K Knoll
- German Heart Centre Munich, Munich, Germany
| | | | - M Bock
- German Heart Centre Munich, Munich, Germany
| | - F Bahlke
- German Heart Centre Munich, Munich, Germany
| | - M Georgi
- German Heart Centre Munich, Munich, Germany
| | | | | | - T Reents
- German Heart Centre Munich, Munich, Germany
| | - F Bourier
- German Heart Centre Munich, Munich, Germany
| | - G Hessling
- German Heart Centre Munich, Munich, Germany
| | | | - C Kolb
- German Heart Centre Munich, Munich, Germany
| | - C Lennerz
- German Heart Centre Munich, Munich, Germany
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Knoll K, Oconnor M, Chouchane A, Haller B, Schaarschmidt C, Bock M, Foerschner L, Froehlich R, Kottmaier M, Bourier F, Reents T, Hessling G, Deisenhofer I, Kolb C, Lennerz C. Procalcitonin as a biomarker of cardiac implantable electronic device pocket infection: a prospective validation study. Europace 2022. [DOI: 10.1093/europace/euac053.542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Introduction
The implantation of cardiac implantable electronic devices (CIEDs) such as pacemakers and implantable cardioverter-defibrillators is increasing along with the complexitly of these devices. CIED infection is an uncommon, but severe complication associated with the presence of a device and is associated with a high mortality and morbidity. Lead-related infections and frank endocarditis are associated with a systemic inflammatory response and, in general, are readily identified. Isolated pocket infections do not produce such a systemic response and are thus more complex to diagnose. There is a reliance on clinical accumen and examination of local signs of infection. There is thus a need for a reliable biomaker to help identify cases of pocket infection.
Aim
Our group have previously shown procalcitonin (PCT) to be a potentially useful biomaker in the clinial situation of possible pocket infection. We aim to prospectively validate the proposed cut-off value of 0.05ng/ml for the procalcitonin (PCT) biomaker in an independent cohort, which we have previously identified as showing promise in this clinical situation.
Methods
In this prospective case-control validation study the PCT levels of 81 patients with confirmed pocket infections were compared to 81 controls, matched for age and renal function, presenting for elective generator replacement or lead revision unrelated to infection. Exclusion criteria included: concomitant infectious or inflammatory diseases, end-stage renal failure, active malignancy or receiving immunosuppressive therapy.
Results
A PCT over 0.05 ng/ml was found in 68% (n= 55) of pocket infections and 24% (n= 19) of controls. Using the predefined cut-off value of 0.05 ng/ml PCT had a sensitivity of 68% and a specificity of 77% for diagnosing pocket infections. ROC analysis revealed area under the curve of 0.752 (standard error 0.039, p <0.001 ) for PCT. In patients presenting with minimal infective signs the sensivity remained high (67% vs 70% with extensive inflammation) and similarly remained high in thus who had received anti-biotic therapy prior to PCT sampling (65% vs 69%).
Conclusion
PCT is a potentially useful biomarker to aid the diagnosis of a pocket infection when used with the prospecitvely validated cut-off value of 0.05ng/ml. The sensitivity of the PCT positive result remained high even in patients pre-treated with antibiotics or with minimal clinical signs of inflammation.
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Affiliation(s)
- K Knoll
- German Heart Centre Munich, Munich, Germany
| | - M Oconnor
- Royal Brompton and Harefield Hospital, London, United Kingdom of Great Britain & Northern Ireland
| | | | - B Haller
- Clinic rechts der Isar of the University of Technology, Institut für KI und Informatik in der Medizin, Munich, Germany
| | | | - M Bock
- German Heart Centre Munich, Munich, Germany
| | | | | | | | - F Bourier
- German Heart Centre Munich, Munich, Germany
| | - T Reents
- German Heart Centre Munich, Munich, Germany
| | - G Hessling
- German Heart Centre Munich, Munich, Germany
| | | | - C Kolb
- German Heart Centre Munich, Munich, Germany
| | - C Lennerz
- German Heart Centre Munich, Munich, Germany
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Sternberg Z, Podolsky R, Nir A, Yu J, Nir R, Halvorsen SW, Quinn JF, Kaye J, Kolb C. Elevated spermidine serum levels in mild cognitive impairment, a potential biomarker of progression to Alzheimer dementia, a pilot study. J Clin Neurosci 2022; 100:169-174. [PMID: 35487023 DOI: 10.1016/j.jocn.2022.04.028] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/07/2022] [Accepted: 04/22/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND/AIMS There is a close link between iron and polyamine biosynthesis and metabolism. In a recent study, we reported alterations in the serum levels of hepcidin and other iron-related proteins in Alzheimer's disease (AD) patients (Sternberg et al., 2017). Based on these findings, this pilot study compared serum levels of one of the polyamines, Spermidine, between AD, mild cognitive impairment (MCI), and control subjects, correlating the levels with the existing clinical and neuroimaging data. METHODS This cross-sectional study measured Spermidine levels in frozen serum samples of 43 AD patients, 12 MCI patients, and 21 age-matched controls, provided by the Oregon Alzheimer's Disease Center Bio-repository, using enzyme-linked immunosorbent assay. RESULTS MCI patients showed significantly higher mean Spermidine serum levels compared to controls (P = 0.01), with a non-significant trend for higher Spermidine serum levels in pure AD (P = 0.08) participants compared to controls. Spermidine serum levels correlated with the values of cognitive assessment tests including MMSE (r = -0.705, P = 0.003), CDR (r = 0.751, P = 0.002), and CDR-SOB (r = 0.704, P = 0.007), in "pure" AD subgroup, suggesting that higher Spermidine serum levels in MCI can be a potential biomarker of conversion to dementia in subjects with AD underlying pathology. Furthermore, Spermidine serum levels correlated with serum levels of the chief iron regulatory protein, hepcidin in AD participants with a more advanced disease stage, indicated by MMSE (strata of 8-19, P = 0.02), and CDR-SOB (strata of 6-12, P = 0.03). CONCLUSION Studies with larger cohort are warranted for defining the role of Spermidine in AD pathophysiology, and the utility of polyamines as biomarkers of progression of MCI to AD.
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Affiliation(s)
- Zohara Sternberg
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA.
| | - Rebecca Podolsky
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA
| | | | - Jihnhee Yu
- Department of Biostatistics, University of Buffalo, Buffalo, NY, USA
| | | | - Stanley W Halvorsen
- Department of Pharmacology and Toxicology, University of Buffalo, Buffalo, NY, USA
| | - Joseph F Quinn
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Jeffrey Kaye
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Channa Kolb
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA
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9
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Jakimovski D, Kavak KS, Zakalik K, Bromley L, Ozel O, Qutab N, Eckert SP, Kolb C, Weinstock-Guttman B. A prospective study to validate the expanded timed get-up-and-go in a population with multiple sclerosis. Mult Scler J Exp Transl Clin 2022; 8:20552173221099186. [PMID: 35571975 PMCID: PMC9102142 DOI: 10.1177/20552173221099186] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/20/2022] [Indexed: 12/02/2022] Open
Abstract
Background Timed 25-foot walk (T25FW) test serves as gold standard in care of persons with multiple sclerosis (PwMS) and as walking measure of regulatory trials. Objective To validate and determine the clinical utility of Expanded Timed Get-Up and Go (ETGUG) as a disability measure in MS. Methods ETGUG intra-rater and inter-rater reproducibility was determined in 65 PwMS that were examined twice in two centres over 1-week. Values below the 5th and above the 95th percentile were considered minimally detectable change. A longitudinal cohort (32.4 months) of 145 PwMS from New York State MS Consortium (NYSMSC) was used for clinical validation as a predictor of disability worsening measured by Expanded Disability Status Scale (EDSS). Results ETGUG and T25FW had noteworthy intra-rater and inter-rater reproducibility (Cronbach coefficient>0.949). One-week ETGUG difference ranged from 15.07% to −14.84% (5th and 95th percentile). Over the NYSMSC follow-up, PwMS had significant slowing in walking as measured by ETGUG (20.8 to 25.9s, p = 0.009) but not by T25FW. 15% ETGUG worsening had similar ability to predict EDSS worsening when compared to 20% T25FW worsening (AUC 0.596 vs. 0.552). Conclusion Over 32-month follow-up, PwMS experience slowing in ETGUG walking time but not in T25FW. Although the scoring may be more challenging, ETGUG could be more sensitive to change and provide more comprehensive measure of lower extremity performance and ambulation in PwMS.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Karen Zakalik
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA
| | | | | | | | | | - Channa Kolb
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA
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10
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Seppelt D, Ittermann T, Kromrey ML, Kolb C, vWahsen C, Heiss P, Völzke H, Hoffmann RT, Kühn JP. Simple diameter measurement as predictor of liver volume and liver parenchymal disease. Sci Rep 2022; 12:1257. [PMID: 35075169 PMCID: PMC8786943 DOI: 10.1038/s41598-022-04825-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/20/2021] [Indexed: 11/12/2022] Open
Abstract
To investigate the accuracy of liver diameters for estimation of liver size and to evaluate their application as tool for assessment of parenchymal liver disease. In the course of a population-based study, (SHIP) one thousand nine hundred thirty-nine volunteers underwent magnetic resonance imaging (MRI) of the liver including 3D gradient echo MRI sequences. Maximum liver diameters were measured in cranio-caudal (CC), anterior–posterior (AP), medial–lateral (ML) orientation. Diameters were compared with true liver volume assessed by liver segmentation. Additionally, age-dependent reference values for diameters were defined. Finally, accuracy of liver diameters was assessed to discriminate volunteers with healthy livers and participants with parenchymal changes, measured by MRI and laboratory. Reference values of liver diameters within the healthy population (n = 886) were defined as follows (mean ± standard deviation, confidence interval CI in cm): CC 17.2 ± 2, CI 13.6/21.2; AP 15.8 ± 1.9, CI 12.6/19.8; ML 19.7 ± 2.3, CI 15.8/24.6. There was a poor correlation using linear regression between liver diameter and true liver volume; CC 0.393, AP 0.359; ML 0.137. The AP direction shows the best correlation to discriminate between healthy and pathologic liver changes; AUC 0.78; p < 0.001, CC AUC 0.53; p < 0.001 and ML AUC 0.52; p = 0.008. Measurement of liver diameter, especially in the anterior–posterior direction is a simple option to detect chronic liver disease but less suitable for prediction of liver volume.
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Affiliation(s)
- D Seppelt
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany.
| | - T Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - M L Kromrey
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - C Kolb
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
| | - C vWahsen
- Department of Diagnostic Radiology, University Medical Center Regensburg, Regensburg, Germany
| | - P Heiss
- Department of Diagnostic Radiology, University Medical Center Regensburg, Regensburg, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - R T Hoffmann
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
| | - J P Kühn
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
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11
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Ghione E, Bergsland N, Dwyer MG, Hagemeier J, Jakimovski D, Ramasamy DP, Hojnacki D, Lizarraga AA, Kolb C, Eckert S, Weinstock-Guttman B, Zivadinov R. Disability Improvement Is Associated with Less Brain Atrophy Development in Multiple Sclerosis. AJNR Am J Neuroradiol 2020; 41:1577-1583. [PMID: 32763899 DOI: 10.3174/ajnr.a6684] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 06/01/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE It is unknown whether deceleration of brain atrophy is associated with disability improvement in patients with MS. Our aim was to investigate whether patients with MS with disability improvement develop less brain atrophy compared with those who progress in disability or remain stable. MATERIALS AND METHODS We followed 980 patients with MS for a mean of 4.8 ± 2.4 years. Subjects were divided into 3 groups: progress in disability (n = 241, 24.6%), disability improvement (n = 101, 10.3%), and stable (n = 638, 65.1%) at follow-up. Disability improvement and progress in disability were defined on the basis of the Expanded Disability Status Scale score change using standardized guidelines. Stable was defined as nonoccurrence of progress in disability or disability improvement. Normalized whole-brain volume was calculated using SIENAX on 3D T1WI, whereas the lateral ventricle was measured using NeuroSTREAM on 2D-T2-FLAIR images. The percentage brain volume change and percentage lateral ventricle volume change were calculated using SIENA and NeuroSTREAM, respectively. Differences among groups were investigated using ANCOVA, adjusted for age at first MR imaging, race, T2 lesion volume, and corresponding baseline structural volume and the Expanded Disability Status Scale. RESULTS At first MR imaging, there were no differences among progress in disability, disability improvement, and the stable groups in whole-brain volume (P = .71) or lateral ventricle volume (P = .74). During follow-up, patients with disability improvement had the lowest annualized percentage lateral ventricle volume change (1.6% ± 2.7%) followed by patients who were stable (2.1% ± 3.7%) and had progress in disability (4.1% ± 5.5%), respectively (P < .001). The annualized percentage brain volume change values were -0.7% ± 0.7% for disability improvement, -0.8% ± 0.7% for stable, and -1.1% ± 1.1% for progress in disability (P = .001). CONCLUSIONS Patients with MS who improve in their clinical disability develop less brain atrophy across time compared with those who progress.
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Affiliation(s)
- E Ghione
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
| | - N Bergsland
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
- IRCCS (N.B.), Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - M G Dwyer
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
- Center for Biomedical Imaging at the Clinical Translational Science Institute (M.G.D., R.Z.),University at Buffalo, State University of New York, Buffalo, New York
| | - J Hagemeier
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Jakimovski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D P Ramasamy
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Hojnacki
- Department of Neurology (D.H., A.A.L., C.K., S.E., B.W.-G.), Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences
| | - A A Lizarraga
- Department of Neurology (D.H., A.A.L., C.K., S.E., B.W.-G.), Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences
| | - C Kolb
- Department of Neurology (D.H., A.A.L., C.K., S.E., B.W.-G.), Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences
| | - S Eckert
- Department of Neurology (D.H., A.A.L., C.K., S.E., B.W.-G.), Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences
| | - B Weinstock-Guttman
- Department of Neurology (D.H., A.A.L., C.K., S.E., B.W.-G.), Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences
| | - R Zivadinov
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., D.P.R., R.Z.), Buffalo Neuroimaging Analysis Center
- Center for Biomedical Imaging at the Clinical Translational Science Institute (M.G.D., R.Z.),University at Buffalo, State University of New York, Buffalo, New York
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12
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Fuchs TA, Ziccardi S, Benedict RHB, Bartnik A, Kuceyeski A, Charvet LE, Oship D, Weinstock-Guttman B, Wojcik C, Hojnacki D, Kolb C, Escobar J, Campbell R, Tran HD, Bergsland N, Jakimovski D, Zivadinov R, Dwyer MG. Functional Connectivity and Structural Disruption in the Default-Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis. J Neuroimaging 2020; 30:523-530. [PMID: 32391981 DOI: 10.1111/jon.12723] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 04/16/2020] [Accepted: 04/20/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE Efficacy of restorative cognitive rehabilitation can be predicted from baseline patient factors. In addition, patient profiles of functional connectivity are associated with cognitive reserve and moderate the structure-cognition relationship in people with multiple sclerosis (PwMS). Such interactions may help predict which PwMS will benefit most from cognitive rehabilitation. Our objective was to determine whether patient response to restorative cognitive rehabilitation is predictable from baseline structural network disruption and whether this relationship is moderated by functional connectivity. METHODS For this single-arm repeated measures study, we recruited 25 PwMS for a 12-week program. Following magnetic resonance imaging, participants were tested using the Symbol Digit Modalities Test (SDMT) pre- and postrehabilitation. Baseline patterns of structural and functional connectivity were characterized relative to healthy controls. RESULTS Lower white matter tract disruption in a network of region-pairs centered on the precuneus and posterior cingulate (default-mode network regions) predicted greater postrehabilitation SDMT improvement (P = .048). This relationship was moderated by profiles of functional connectivity within the network (R2 = .385, P = .017, Interaction β = -.415). CONCLUSION Patient response to restorative cognitive rehabilitation is predictable from the interaction between structural network disruption and functional connectivity in the default-mode network. This effect may be related to cognitive reserve.
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Affiliation(s)
- Tom A Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Stefano Ziccardi
- Neurology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Alexander Bartnik
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Amy Kuceyeski
- Weill Cornell Medical College, Brain and Mind Research Institute, Ithaca, NY
| | - Leigh E Charvet
- Department of Neurology, NYU School of Medicine, New York, NY
| | - Devon Oship
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Curtis Wojcik
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Jose Escobar
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Rebecca Campbell
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Hoan Duc Tran
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
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13
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Jakimovski D, Zivadinov R, Bergsland N, Ramasamy DP, Hagemeier J, Weinstock-Guttman B, Kolb C, Hojnacki D, Dwyer MG. Sex-Specific Differences in Life Span Brain Volumes in Multiple Sclerosis. J Neuroimaging 2020; 30:342-350. [PMID: 32392376 DOI: 10.1111/jon.12709] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 03/22/2020] [Accepted: 03/23/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND AND PURPOSE Numerous sex-specific differences in multiple sclerosis (MS) susceptibility, disease manifestation, disability progression, inflammation, and neurodegeneration have been previously reported. Previous magnetic resonance imaging (MRI) studies have shown structural differences between female and male MS brain volumes. To determine sex-specific global and tissue-specific brain volume throughout the MS life span in a real-world large MRI database. METHODS A total of 2,199 MS patients (female/male ratio of 1,651/548) underwent structural MRI imaging on either a 1.5-T or 3-T scanner. Global and tissue-specific volumes of whole brain (WBV), white matter, and gray matter (GMV) were determined by utilizing Structural Image Evaluation using Normalisation of Atrophy Cross-sectional (SIENAX). Lateral ventricular volume (LVV) was determined with the Neurological Software Tool for REliable Atrophy Measurement (NeuroSTREAM). General linear models investigated sex and age interactions, and post hoc comparative sex analyses were performed. RESULTS Despite being age-matched with female MS patents, a greater proportion of male MS patients were diagnosed with progressive MS and had lower normalized WBV (P < .001), GMV (P < .001), and greater LVV (P < .001). In addition to significant stand-alone main effects, an interaction between sex and age had an additional effect on the LVV (F-statistics = 4.53, P = .033) and GMV (F-statistics = 4.59, P = .032). The sex and age interaction was retained in both models of LVV (F-statistics = 3.31, P = .069) and GMV (F-statistics = 6.1, P = .003) when disease subtype and disease-modifying treatment (DMT) were also included. Although male MS patients presented with significantly greater LVV and lower GMV during the early and midlife period when compared to their female counterparts (P < .001 for LVV and P < .019 for GMV), these differences were nullified in 60+ years old patients. Similar findings were seen within a subanalysis of MS patients that were not on any DMT at the time of enrollment. CONCLUSION There are sex-specific differences in the LVV and GMV over the MS life span.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Translational Imaging Center at Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY
| | - Channa Kolb
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY
| | - David Hojnacki
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
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14
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Willems S, Tilz RR, Steven D, Kääb S, Wegscheider K, Gellér L, Meyer C, Heeger CH, Metzner A, Sinner MF, Schlüter M, Nordbeck P, Eckardt L, Bogossian H, Sultan A, Wenzel B, Kuck KH, Piorkowski C, Lebedev D, Kautzner J, Sticherling C, Deneke T, Rostock T, Ukena C, Kuniss M, Makimoto H, Hindricks G, Bänsch D, Schreieck J, Kolb C, Geller J, Pokushalov E, Gutleben K, Sommer P, Boldt L, Parwani A. Preventive or Deferred Ablation of Ventricular Tachycardia in Patients With Ischemic Cardiomyopathy and Implantable Defibrillator (BERLIN VT). Circulation 2020; 141:1057-1067. [DOI: 10.1161/circulationaha.119.043400] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Catheter ablation for ventricular tachycardia (VT) reduces the recurrence of VT in patients with implantable cardioverter-defibrillators (ICDs). The appropriate timing of VT ablation and its effects on mortality and heart failure progression remain a matter of debate. In patients with life-threatening arrhythmias necessitating ICD implantation, we compared outcomes of preventive VT ablation (undertaken before ICD implantation to prevent ICD shocks for VT) and deferred ablation after 3 ICD shocks for VT.
Methods:
The BERLIN VT study (Preventive Ablation of Ventricular Tachycardia in Patients With Myocardial Infarction) was a prospective, open, parallel, randomized trial performed at 26 centers. Patients with stable ischemic cardiomyopathy, a left ventricular ejection fraction between 30% and 50%, and documented VT were randomly assigned 1:1 to a preventive or deferred ablation strategy. The primary outcome was a composite of all-cause death and unplanned hospitalization for either symptomatic ventricular arrhythmia or worsening heart failure. Secondary outcomes included sustained ventricular tachyarrhythmia and appropriate ICD therapy. We hypothesized that preventive ablation strategy would be superior to deferred ablation strategy in the intention-to-treat population.
Results:
During a mean follow-up of 396±284 days, the primary end point occurred in 25 (32.9%) of 76 patients in the preventive ablation group and 23 (27.7%) of 83 patients in the deferred ablation group (hazard ratio, 1.09 [95% CI, 0.62–1.92];
P
=0.77). On the basis of prespecified criteria for interim analyses, the study was terminated early for futility. In the preventive versus deferred ablation group, 6 versus 2 patients died (7.9% versus 2.4%;
P
=0.18), 8 versus 2 patients were admitted for worsening heart failure (10.4% versus 2.3%;
P
=0.062), and 15 versus 21 patients were hospitalized for symptomatic ventricular arrhythmia (19.5% versus 25.3%;
P
=0.27). Among secondary outcomes, the proportions of patients with sustained ventricular tachyarrhythmia (39.7% versus 48.2%;
P
=0.050) and appropriate ICD therapy (34.2% versus 47.0%;
P
=0.020) were numerically reduced in the preventive ablation group.
Conclusions:
Preventive VT ablation before ICD implantation did not reduce mortality or hospitalization for arrhythmia or worsening heart failure during 1 year of follow-up compared with the deferred ablation strategy.
Registration:
URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT02501005.
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Affiliation(s)
| | - Roland Richard Tilz
- University Hospital Lübeck, Med.Klinik II, and German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Germany (R.R.T., C.-H.H.)
| | - Daniel Steven
- University Heart Center Cologne, Germany (D.S., A.S.)
| | - Stefan Kääb
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilian’s University Munich and German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Germany (S.K., M.F.S.)
| | - Karl Wegscheider
- Institute of Medical Biometry and Epidemiology, University Medical Center Eppendorf, Hamburg, Germany (K.W.)
| | - László Gellér
- Semmelweis Medical University, Budapest, Hungary (L.G.)
| | | | - Christian-Hendrik Heeger
- University Hospital Lübeck, Med.Klinik II, and German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Germany (R.R.T., C.-H.H.)
| | | | - Moritz F. Sinner
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilian’s University Munich and German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Germany (S.K., M.F.S.)
| | | | | | | | | | - Arian Sultan
- University Heart Center Cologne, Germany (D.S., A.S.)
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15
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Benedict RH, Pol J, Yasin F, Hojnacki D, Kolb C, Eckert S, Tacca B, Drake A, Wojcik C, Morrow SA, Jakimovski D, Fuchs TA, Dwyer MG, Zivadinov R, Weinstock-Guttman B. Recovery of cognitive function after relapse in multiple sclerosis. Mult Scler 2020; 27:71-78. [PMID: 31971066 DOI: 10.1177/1352458519898108] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Cognitive impairment is common in multiple sclerosis (MS) but its manifestation as acute disease activity is underappreciated. OBJECTIVE The aim of this study is to examine recovery after MS relapse on multiple tests of cognitive and motor function and explore correlates of change with Expanded Disability Status Scale (EDSS), magnetic resonance imaging (MRI), and cognitive reserve. METHODS Fifty relapsing group (RG) and matched stable participants were examined at baseline, during relapse, and at 3-month follow-up. Tests of cognitive processing speed (Symbol Digit Modalities Test (SDMT)) and consensus opinion measures of memory, ambulation, and manual dexterity were administered. All RG patients were treated with a 5-day course of Acthar Gel (5 mL/80 IU). RESULTS In RG patients, SDMT declined from 55.2 to 44.6 at relapse and recovered to 51.7, a slope differing from stable controls (p = 0.001). A statistical trend (p = 0.07) for the same effect was observed for verbal memory and was significant for ambulation (p = 0.03). The Cerebral Function Score from the EDSS also changed in the RG and recovered incompletely relative to controls (p = 0.006). CONCLUSION These results replicate earlier reports of cognitive worsening during relapse in MS. Clinically meaningful improvements followed relapse on SDMT and ambulation. Cognitive decline during relapse can be appreciated on neurological exam but not patient-reported outcomes.
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Affiliation(s)
- Ralph Hb Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jeta Pol
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Faizan Yasin
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Svetlana Eckert
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Beth Tacca
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Allison Drake
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Curtis Wojcik
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Tom A Fuchs
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA/Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA/Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA/Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
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Genovese AV, Hagemeier J, Bergsland N, Jakimovski D, Dwyer MG, Ramasamy DP, Lizarraga AA, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis. Radiology 2019; 293:424-433. [PMID: 31549947 PMCID: PMC6823621 DOI: 10.1148/radiol.2019190306] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 07/06/2019] [Accepted: 08/09/2019] [Indexed: 12/13/2022]
Abstract
Background Atrophied T2 lesion volume at MRI is an imaging measure that reflects the replacement of T2 lesions by cerebrospinal fluid spaces in patients with multiple sclerosis (MS). Purpose To investigate the association of atrophied T2 lesion volume and development of disability progression (DP) and conversion to secondary progressive MS (SPMS). Materials and Methods This retrospective study included 1612 participants recruited from 2006 to 2016 and followed up for 5 years with clinical and MRI examinations. Accumulation of T2 lesion volume, atrophied T2 lesion volume, percentage brain volume change (PBVC), and percentage ventricular volume change (PVVC) were measured. Disability progression and secondary progressive conversion were defined by using standardized guidelines. Analysis of covariance (ANCOVA) adjusted for age and Cox regression adjusted for age and sex were used to compare study groups and explore associations between MRI and clinical outcomes. Results A total of 1314 patients with MS (1006 women; mean age, 46 years ± 11 [standard deviation]) and 124 patients with clinically isolated syndrome (100 women; mean age, 39 years ± 11) along with 147 healthy control subjects (97 women; mean age, 42 years ± 13) were evaluated. A total of 336 of 1314 (23%) patients developed DP, and in 67 of 1213 (5.5%) the disease converted from clinically isolated syndrome (CIS) or relapsing-remitting MS (RRMS) to SPMS. Patients with conversion to DP had higher atrophied T2 lesion volume (+34.4 mm3; 95% confidence interval [CI]: 17.2 mm3, 51.5 mm3; d = 0.27; P < .001) and PBVC (-0.21%; 95% CI: -0.36%, -0.05%; d = 0.19; P = .042) but not PVVC (0.36%; 95% CI: -0.93%, 1.65%; d = 0.04; P = .89) or T2 lesion volume change (-64.5 mm3; 95% CI: -315.2 mm3, 186.3 mm3; d = 0.03; P = .67) when compared with DP nonconverters. ANCOVA showed that atrophied T2 lesion volume was associated with conversion from CIS or RRMS to SPMS (+26.4 mm3; 95% CI: 4.2 mm3, 56.9 mm3; d = 0.23; P = .002) but not PBVC (-0.14%; 95% CI: -0.46%, 0.18%; d = 0.11; P = .66), PVVC (+0.18%; 95% CI: -2.49%, 2.72%; d = 0.01; P = .75), or T2 lesion volume change (-46.4 mm3; 95% CI: -460.8 mm3, 367.9 mm3; d = 0.03; P = .93). At Cox regression analysis, only atrophied T2 lesion volume was associated with the DP (hazard ratio, 1.23; P < .001) and conversion to SPMS (hazard ratio, 1.16; P = .008). Conclusion Atrophied brain T2 lesion volume is a robust MRI marker of MS disability progression and conversion into a secondary progressive disease course. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Chiang in this issue.
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Affiliation(s)
- Antonia Valentina Genovese
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Dejan Jakimovski
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Michael G. Dwyer
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Deepa P. Ramasamy
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Alexis A. Lizarraga
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
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Zivadinov R, Bergsland N, Hagemeier J, Ramasamy DP, Dwyer MG, Schweser F, Kolb C, Weinstock-Guttman B, Hojnacki D. Cumulative gadodiamide administration leads to brain gadolinium deposition in early MS. Neurology 2019; 93:e611-e623. [PMID: 31285398 PMCID: PMC6709999 DOI: 10.1212/wnl.0000000000007892] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 04/02/2019] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Frequent administration of gadolinium-based contrast agents in multiple sclerosis (MS) may increase signal intensity (SI) unenhanced T1-weighted imaging MRI throughout the brain. We evaluated the association between lifetime cumulative doses of gadodiamide administration and increased SI within the dentate nucleus (DN), globus pallidus (GP), and thalamus in patients with early MS. METHODS A total of 203 patients with MS (107 with baseline and follow-up MRI assessments) and 262 age- and sex-matched controls were included in this retrospective, longitudinal, 3T MRI-reader-blinded study. Patients with MS had disease duration <2 years at baseline and received exclusively gadodiamide at all MRI time points. SI ratio (SIR) to pons and CSF of lateral ventricle volume (CSF-LVV) were assessed. Analysis of covariance and correlation analyses, adjusted for age, sex, and region of interest volume, were used. RESULTS The mean follow-up time was 55.4 months, and the mean number of gadolinium-based contrast agents administrations was 9.2. At follow-up, 49.3% of patients with MS and no controls showed DN T1 hyperintensity (p < 0.001). The mean SIR of DN (p < 0.001) and of GP (p = 0.005) to pons and the mean SIR of DN, GP, and thalamus to CSF-LVV were higher in patients with MS compared to controls (p < 0.001). SIR of DN to pons was associated with number of gadodiamide doses (p < 0.001). No associations between SIR of DN, GP, and thalamus and clinical and MRI outcomes of disease severity were detected over the follow-up. CONCLUSIONS DN, GP, and thalamus gadolinium deposition in early MS is associated with lifetime cumulative gadodiamide administration without clinical or radiologic correlates of more aggressive disease.
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Affiliation(s)
- Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York.
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - Deepa P Ramasamy
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - Michael G Dwyer
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - Ferdinand Schweser
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Center (R.Z., N.B., J.H., D.P.R.) and Jacobs Comprehensive MS Treatment and Research Center (C.K., B.W.-G., D.H.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, and Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z., M.G.D., F.S.), University at Buffalo, State University of New York
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18
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Napp A, Kolb C, Lennerz C, Bauer W, Schulz-Menger J, Kraus T, Marx N, Stunder D. Elektromagnetische Interferenz von aktiven Herzrhythmusimplantaten im Alltag und im beruflichen Umfeld. Kardiologe 2019. [DOI: 10.1007/s12181-019-0335-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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19
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Gandhi S, Marr K, Mancini M, Caprio MG, Jakimovski D, Chandra A, Hagemeier J, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. No association between variations in extracranial venous anatomy and clinical outcomes in multiple sclerosis patients over 5 years. BMC Neurol 2019; 19:121. [PMID: 31185944 PMCID: PMC6560860 DOI: 10.1186/s12883-019-1350-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 05/31/2019] [Indexed: 01/08/2023] Open
Abstract
Background No longitudinal, long-term, follow-up studies have explored the association between presence and severity of variations in extracranial venous anatomy, and clinical outcomes in patients with multiple sclerosis (MS). Objective This prospective 5-year follow-up study assessed the relationship of variations in extracranial venous anatomy, indicative of chronic cerebrospinal venous insufficiency (CCSVI) on Doppler sonography, according to the International Society for Neurovascular Disease (ISNVD) proposed consensus criteria, with clinical outcomes and disease progression in MS patients. Methods 90 MS patients (52 relapsing-remitting, RRMS and 38 secondary-progressive, SPMS) and 38 age- and sex-matched HIs were prospectively followed for 5.5 years. Extracranial and transcranial Doppler-based venous hemodynamic assessment was conducted at baseline and follow-up to determine the extent of variations in extracranial venous anatomy. Change in Expanded Disability Status Scale (∆EDSS), development of disability progression (DP) and annualized relapse rate (ARR) were assessed. Results No significant differences were observed in MS patients, based on their presence of variations in extracranial venous anatomy at baseline or at the follow-up, in ∆EDSS, development of DP or ARR. While more MS patients had ISNVD CCSVI criteria fulfilled at baseline compared to HIs (58% vs. 37%, p = 0.03), no differences were found at the 5-year follow-up (61% vs. 56%, p = 0.486). Discussion This is the longest follow-up study assessing the longitudinal relationship between the presence of variations in extracranial venous anatomy and clinical outcomes in MS patients. Conclusion: The presence of variations in extracranial venous anatomy does not influence clinical outcomes over the 5-year follow-up in MS patients. Electronic supplementary material The online version of this article (10.1186/s12883-019-1350-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sirin Gandhi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Karen Marr
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Marcello Mancini
- Institute of Biostructure and Bioimaging, National Research Council of Italy, Rome, Italy
| | - Maria Grazia Caprio
- Institute of Biostructure and Bioimaging, National Research Council of Italy, Rome, Italy
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Avinash Chandra
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA. .,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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20
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Ghione E, Bergsland N, Dwyer MG, Hagemeier J, Jakimovski D, Paunkoski I, Ramasamy DP, Carl E, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Aging and Brain Atrophy in Multiple Sclerosis. J Neuroimaging 2019; 29:527-535. [PMID: 31074192 DOI: 10.1111/jon.12625] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/15/2019] [Accepted: 04/17/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND PURPOSE Brain atrophy accelerates at the age of 60 in healthy individuals (HI) and at disease onset in multiple sclerosis (MS) patients. Whether there is an exacerbating effect of aging superimposed on MS-related brain atrophy is unknown. We estimated the aging effect on lateral ventricular volume (LVV) and whole brain volume (WBV) changes in MS patients. METHODS 1,982 MS patients (mean follow-up: 4.8 years) and 351 HI (mean follow-up: of 3.1 years), aged from 20 to 79 years old (yo), were collected retrospectively. Percent LVV change (PLVVC) and percent brain volume change (PBVC) on 1.5T and 3T MRI scanners (median of 3.9 scans per subject) were calculated. These were determined between all-time points and subjects were divided in six-decade age groups. MRI differences between age groups were calculated using analysis of covariance (ANCOVA). RESULTS Compared to HI, at first MRI, MS patients had significantly increased LVV in the age groups: 30-39 yo, 40-49 yo, 50-59 yo, 60-69 yo (all P < .0001), and 70-79 yo (P = .029), and decreased WBV in the age groups: 20-29 yo (P = .024), 30-39 yo (P = .031), 40-49 yo, and 50-59 yo (all P < .0001). Annualized PLVVC was significantly different between the age groups 20-59 and 60-79 yo in MS patients (P = .005) and HI (P < .0001), as was for PBVC in MS patients (P = .001), but not for HI (P = .521). There was a significant aging interaction effect in the annualized PLVVC (P = .001) between HI and MS patients, which was not observed for the annualized PBVC (P = .380). CONCLUSIONS Development of brain atrophy manifests progressively in MS patients, and occurs with a different pattern, as compared to aging HI. PLVVC increased across age in HI as compared to MS, while PBVC decreased across ages in both HI and MS.
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Affiliation(s)
- Emanuele Ghione
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Ivo Paunkoski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - David Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY
| | - Channa Kolb
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY
| | - Bianca Weinstock-Guttman
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
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Kromrey ML, Ittermann T, Berning M, Kolb C, Hoffmann RT, Lerch MM, Völzke H, Kühn JP. Accuracy of ultrasonography in the assessment of liver fat compared with MRI. Clin Radiol 2019; 74:539-546. [PMID: 30955836 DOI: 10.1016/j.crad.2019.02.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 02/26/2019] [Indexed: 12/18/2022]
Abstract
AIM To investigate the accuracy of ultrasonography in the assessment of hepatic steatosis using magnetic resonance imaging (MRI) as standard of reference and to explore the influence of additional hepatic iron overload. MATERIAL AND METHODS A total of 2,783 volunteers (1,442 women, 1,341 men; mean age, 52.3±13.8 years) underwent confounder-corrected chemical-shift-encoded MRI of the liver at 1.5 T. Proton-density fat fraction (PDFF) and transverse relaxation rate (R2*) were calculated to estimate hepatic steatosis and liver iron overload, respectively. In addition, the presence of hepatic steatosis was assessed by B-mode ultrasonography. The sensitivity, specificity, and accuracy of hepatic ultrasonography were determined for different degrees of hepatic steatosis and different amounts of liver iron. RESULTS MRI revealed hepatic steatosis in 40% of participants (n=1,112), which was mild in 68.9% (n=766), moderate in 26.7% (n=297), and severe in 4.4% (n=49) of patients. Ultrasonography detected hepatic steatosis in 37.8% (n=1,052), corresponding to 74.5% sensitivity and 86.6% specificity. The sensitivity of ultrasound increased with the amount of hepatic fat present and was 65.1%, 95%, and 96% for low, moderate, and high fat content; whereas the specificity was constantly high at 86.6%. The diagnostic accuracy of ultrasound for detection of hepatic steatosis did not vary significantly with the amount of liver iron present. CONCLUSION Ultrasonography is an excellent tool to assess hepatic steatosis in the clinical setting with some limitations in patients with a low liver fat content. The detection of hepatic steatosis by ultrasonography is not influenced by liver iron.
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Affiliation(s)
- M L Kromrey
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - T Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - M Berning
- Department of Medicine I, Carl Gustav Carus University Hospital, TU Dresden, Dresden, Germany
| | - C Kolb
- Institute and Policlinic of Diagnostic and Interventional Radiology, Carl-Gustav-Carus University, TU Dresden, Dresden, Germany
| | - R T Hoffmann
- Institute and Policlinic of Diagnostic and Interventional Radiology, Carl-Gustav-Carus University, TU Dresden, Dresden, Germany
| | - M M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - J-P Kühn
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany; Institute and Policlinic of Diagnostic and Interventional Radiology, Carl-Gustav-Carus University, TU Dresden, Dresden, Germany.
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22
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Sternberg Z, Podolsky R, Nir A, Yu J, Nir R, Halvorsen SW, Chadha K, Quinn JF, Kaye J, Kolb C. Increased free prostate specific antigen serum levels in Alzheimer's disease, correlation with Cognitive Decline. J Neurol Sci 2019; 400:188-193. [PMID: 30981123 DOI: 10.1016/j.jns.2019.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/07/2019] [Accepted: 04/03/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND/AIMS Prostate specific antigen (PSA) is regulated by steroid hormones, such as testosterone, the serum levels of which are altered in patients with Alzheimer's disease (AD).This pilot study compared serum levels of the free (f) PSA between AD, mild cognitive impairment (MCI), and control subjects, and evaluated the relationship between fPSA serum levels and cognitive assessment tests and neuroimaging data. In addition, in a subgroup of AD patients, we correlated fPSA serum levels with the existing data on serum levels of amyloid-beta (Aβ), and iron-related proteins, including hepcidin and ferritin. METHODS Frozen serum samples from the Oregon Tissue Bank were used to measure serum levels of fPSA using enzyme-linked immunosorbent assay. RESULTS fPSA serum levels calculated as median ± SD were higher in AD males (663.6 ± 821.0 pg/ml) compared to control males (152.0 ± 207.0 pg/ml), p = 0.003. A similar Pattern emerged when comparing MCI males (310.7 ± 367.0 pg/ml) to control males (P = 0.02). Correlation studies showed a significant association between fPSA and CDR (r = 0.56, P = 0.006) and CDR-SOB (r = 0.54, P = 0.009) in AD males. CONCLUSION Additional studies in a larger cohort are required for determining whether fPSA can be used as biomarker of AD disease progression and whether it has the potential to identify male subjects at risk of AD dementia.
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Affiliation(s)
- Zohara Sternberg
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA.
| | - Rebecca Podolsky
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA
| | | | - Jihnhee Yu
- Department of Biostatistics, University of Buffalo, Buffalo, NY, USA
| | | | - Stanley W Halvorsen
- Department of Pharmacology and Toxicology, University of Buffalo, Buffalo, NY, USA
| | - Kailash Chadha
- Department of Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Joseph F Quinn
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, OH, USA
| | - Jeffrey Kaye
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, OH, USA
| | - Channa Kolb
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA
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23
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Zivadinov R, Bergsland N, Carl E, Ramasamy DP, Hagemeier J, Dwyer MG, Lizarraga AA, Kolb C, Hojnacki D, Weinstock-Guttman B. Effect of Teriflunomide and Dimethyl Fumarate on Cortical Atrophy and Leptomeningeal Inflammation in Multiple Sclerosis: A Retrospective, Observational, Case-Control Pilot Study. J Clin Med 2019; 8:jcm8030344. [PMID: 30870983 PMCID: PMC6463015 DOI: 10.3390/jcm8030344] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 02/28/2019] [Accepted: 03/07/2019] [Indexed: 02/08/2023] Open
Abstract
Background: Pathologic changes in cortical gray matter (GM) and leptomeninges contribute to disability worsening in patients with multiple sclerosis (MS), but there is little evidence whether disease-modifying treatments can slow down cortical pathology in MS. Objectives: To investigate the effect of teriflunomide (TFM) and dimethyl fumarate (DMF) in reducing cortical pathology, as determined by percentage cortical volume change (PCVC) and leptomeningeal contrast enhancement (LMCE) on MRI. Methods: This was a retrospective, single-center, observational study that selected 60 TFM- and 60 DMF-treated MS patients over 24 months. Results: TFM had a lower rate of PCVC compared to DMF over 24 months (−0.2% vs. −2.94%, p = 0.004). Similar results were observed for percentage GM volume change over 0–12 (p = 0.044) and 0–24 (−0.44% vs. −3.12%, p = 0.015) months. No significant differences were found between the TFM and DMF groups in the frequency and number of LMCE foci over the follow-up. TFM showed a numerically lower rate of whole brain atrophy over 24 months (p = 0.077), compared to DMF. No significant clinical or MRI lesion differences between TFM and DMF were detected over follow-up. Conclusions: These findings suggest that TFM has a superior effect on the preservation of cortical GM volume, compared to DMF.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Alexis A Lizarraga
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
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Seppelt D, Kolb C, Kühn JP, Speiser U, Radosa CG, Hoberück S, Hoffmann RT, Platzek I. Comparison of sequential and high-pitch-spiral coronary CT-angiography: image quality and radiation exposure. Int J Cardiovasc Imaging 2019; 35:1379-1386. [PMID: 30850908 DOI: 10.1007/s10554-019-01568-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 02/21/2019] [Indexed: 12/28/2022]
Abstract
New protocols for coronary computed tomography angiography (CCTA) could lower the radiation dose for patients but influence the image quality. To compare image quality and radiation exposure in step-and-shoot CCTA and high-pitch spiral CCTA. Fifty-nine pairs of patients matched for weight, height, sex and heart rate were included in this study (74 m, 44 f, average age 60 years, age range 29-94 years). Step-and-shoot CCTA and high-pitch spiral CCTA was performed on a third generation dual-source CT in equally sized patient groups. The signal-to-noise ratio (SNR) in the ascending aorta and the coronary arteries were determined for each dataset. Image quality was rated using a five-point scale. We used the t-test for paired samples to compare SNR and effective dose, and the Wilcoxon test to compare image quality scores. Mean effective dose for the step-and-shoot protocol (4.15 ± 3.07 mSv) was significantly higher in comparison to the high-pitch spiral protocol (1.2 ± 0.69 mSv; p < 0.0001). Mean SNR was higher with the step-and-shoot protocol compared to the high-pitch spiral protocol in the aorta, in the left main and peripheral coronary arteries (p < 0.01), in the proximal right coronary artery (p = 0.027). Image quality scores were significantly better for the step-and-shoot protocol (p = 0.0003). Step-and-shoot CCTA has significantly better SNR and overall image quality compared to high-pitch spiral CCTA, but with a mean effective dose more than thrice as high.
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Affiliation(s)
- D Seppelt
- Institute and Policlinic for Diagnostic and Interventional Radiology, Dresden University Hospital, Carl-Gustav-Carus University, Fetscherstraße 74, 01307, Dresden, Germany.
| | - C Kolb
- Institute and Policlinic for Diagnostic and Interventional Radiology, Dresden University Hospital, Carl-Gustav-Carus University, Fetscherstraße 74, 01307, Dresden, Germany
| | - J P Kühn
- Institute and Policlinic for Diagnostic and Interventional Radiology, Dresden University Hospital, Carl-Gustav-Carus University, Fetscherstraße 74, 01307, Dresden, Germany
| | - U Speiser
- Department of Cardiology, Heart Centre Dresden University Hospital, Fetscherstraße 76, 01307, Dresden, Germany
| | - C G Radosa
- Institute and Policlinic for Diagnostic and Interventional Radiology, Dresden University Hospital, Carl-Gustav-Carus University, Fetscherstraße 74, 01307, Dresden, Germany
| | - S Hoberück
- Department of Nuclear Medicine, Dresden University Hospital, Fetscherstraße 74, 01307, Dresden, Germany
| | - R T Hoffmann
- Institute and Policlinic for Diagnostic and Interventional Radiology, Dresden University Hospital, Carl-Gustav-Carus University, Fetscherstraße 74, 01307, Dresden, Germany
| | - I Platzek
- Institute and Policlinic for Diagnostic and Interventional Radiology, Dresden University Hospital, Carl-Gustav-Carus University, Fetscherstraße 74, 01307, Dresden, Germany
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25
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Satchidanand N, Drake A, Smerbeck A, Hojnacki D, Kolb C, Patrick K, Weinstock-Guttman B, Motl R, Benedict RHB. Dalfampridine benefits ambulation but not cognition in multiple sclerosis. Mult Scler 2018; 26:91-98. [DOI: 10.1177/1352458518815795] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background: Impaired cognition and ambulation are common in multiple sclerosis (MS). Dalfampridine is the first Food and Drug Administration (FDA)–approved medication to treat impaired ambulation in MS. Dalfampridine may benefit patients with cognitive impairment, given its effects on saltatory conduction and the association between cognitive and motor function. Objective: To examine the effects of dalfampridine on cognition in MS. To determine if the anticipated improved cognition is grounded in dalfampridine’s effects on ambulation. Methods: Adults with MS were randomized to dalfampridine ( n = 45) or placebo ( n = 16) for 12 weeks. Cognition and motor function were assessed at baseline and end-point. Results: T25FW and 6-minute walk (6MW) performance improved at end-point in the treatment group but not in the placebo group ( p < 0.05). Our primary outcome, performance on the Symbol Digit Modalities Test, did not improve. About 30% ( n = 12) of the dalfampridine group demonstrated ⩾20% improved ambulation and were categorized “responders.” Among “responders”, Symbol Digit Modalities test performance did not improve. However, performance on the Paced Auditory Serial Addition Test improved among “responders” ( p < 0.05). Conclusion: Dalfampridine benefits timed ambulation but not cognition. Some improvement among ambulation “responders” is consistent with prior reports of cognition-motor coupling in MS ( ClinicalTrials.gov #: NCT02006160).
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Affiliation(s)
- Nikhil Satchidanand
- Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Allison Drake
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - A Smerbeck
- Rochester Institute of Technology, Rochester, NY, USA
| | - David Hojnacki
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Kara Patrick
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Motl
- Department of Physical Therapy, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ralph HB Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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26
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Vaughn CB, Kavak KS, Dwyer MG, Bushra A, Nadeem M, Cookfair DL, Ramanathan M, Benedict RHB, Zivadinov R, Goodman A, Krupp L, Motl RW, Weinstock-Guttman B, Kolb C, Robb JF, Jubelt B, Gerber A, Kister I, Ryerson LZ, Coyle P, Perel A, Gottesman M, Lenihan M, Edwards K, Garten L, Picone MA. Fatigue at enrollment predicts EDSS worsening in the New York State Multiple Sclerosis Consortium. Mult Scler 2018; 26:99-108. [DOI: 10.1177/1352458518816619] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Fatigue is one of the most common and distressing symptoms among persons with multiple sclerosis (pwMS). Objective: The aim of this study is to evaluate fatigue as a predictor for disease worsening among pwMS. Methods: In this retrospective cohort study of New York State MS Consortium (NYSMSC) registry, MS patients reporting moderate-to-severe fatigue at study enrollment ( n = 2714) were frequency matched to less-fatigued subjects ( n = 2714) on age, baseline Kurtzke Expanded Disability Status Scale (EDSS), disease duration, and MS phenotype. Change from baseline patient-reported outcomes (PROs), as measured by LIFEware™, categorized participants into two groups: those with stable/improved outcomes and those who worsened. In a subgroup of patients with longitudinal data ( n = 1951), sustained EDSS worsening was analyzed using Cox proportional hazards modeling to explore the effect of fatigue. Results: The median survival time from study enrollment to sustained EDSS worsening was 8.7 years (CI: 7.2–10.1). Participants who reported fatigue at baseline were more likely to experience sustained EDSS worsening during follow-up (HR: 1.4, 95% CI: 1.2–1.7). Patients who were fatigued at baseline were also more likely to report worsening psychosocial limitations (all ps ⩽ 0.01). Conclusion: In addition to being a common symptom of MS, severe fatigue was a significant predictor for EDSS worsening in the NYSMSC.
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Affiliation(s)
- Caila B Vaughn
- New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/Jacobs MS Center for Treatment and Research, Buffalo, NY, USA/ Department of Neurology, University at Buffalo, Buffalo, NY, USA
| | - Katelyn S Kavak
- New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/Jacobs MS Center for Treatment and Research, Buffalo, NY, USA
| | | | - Aisha Bushra
- New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/Jacobs MS Center for Treatment and Research, Buffalo, NY, USA
| | - Muhammad Nadeem
- New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/Jacobs MS Center for Treatment and Research, Buffalo, NY, USA
| | - Diane L Cookfair
- Jacobs MS Center for Treatment and Research, Buffalo, NY, USA/ Department of Neurology, University at Buffalo, Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA
| | | | - Robert Zivadinov
- New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/ Department of Neurology, University at Buffalo, Buffalo, NY, USA; Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - Andrew Goodman
- University of Rochester Medical Center, Rochester, NY, USA
| | | | - Robert W Motl
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Bianca Weinstock-Guttman
- New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/Jacobs MS Center for Treatment and Research, Buffalo, NY, USA/ Department of Neurology, University at Buffalo, Buffalo, NY, USA
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27
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Ghione E, Bergsland N, Dwyer MG, Hagemeier J, Jakimovski D, Paunkoski I, Ramasamy DP, Silva D, Carl E, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Brain Atrophy Is Associated with Disability Progression in Patients with MS followed in a Clinical Routine. AJNR Am J Neuroradiol 2018; 39:2237-2242. [PMID: 30467212 DOI: 10.3174/ajnr.a5876] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 09/08/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE The assessment of brain atrophy in a clinical routine is not performed routinely in multiple sclerosis. Our aim was to determine the feasibility of brain atrophy measurement and its association with disability progression in patients with MS followed in a clinical routine for 5 years. MATERIALS AND METHODS A total of 1815 subjects, 1514 with MS and 137 with clinically isolated syndrome and 164 healthy individuals, were collected retrospectively. Of 11,794 MR imaging brain scans included in the analysis, 8423 MRIs were performed on a 3T, and 3371 MRIs, on a 1.5T scanner. All patients underwent 3D T1WI and T2-FLAIR examinations at all time points of the study. Whole-brain volume changes were measured by percentage brain volume change/normalized brain volume change using SIENA/SIENAX on 3D T1WI and percentage lateral ventricle volume change using NeuroSTREAM on T2-FLAIR. RESULTS Percentage brain volume change failed in 36.7% of the subjects; percentage normalized brain volume change, in 19.2%; and percentage lateral ventricle volume change, in 3.3% because of protocol changes, poor scan quality, artifacts, and anatomic variations. Annualized brain volume changes were significantly different between those with MS and healthy individuals for percentage brain volume change (P < .001), percentage normalized brain volume change (P = .002), and percentage lateral ventricle volume change (P = .01). In patients with MS, mixed-effects model analysis showed that disability progression was associated with a 21.9% annualized decrease in percentage brain volume change (P < .001) and normalized brain volume (P = .002) and a 33% increase in lateral ventricle volume (P = .004). CONCLUSIONS All brain volume measures differentiated MS and healthy individuals and were associated with disability progression, but the lateral ventricle volume assessment was the most feasible.
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Affiliation(s)
- E Ghione
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - N Bergsland
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - M G Dwyer
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center.,Center for Biomedical Imaging at Clinical Translational Research Center (M.G.D., R.Z.), State University of New York, Buffalo, New York
| | - J Hagemeier
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Jakimovski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - I Paunkoski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D P Ramasamy
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Silva
- Novartis Pharmaceuticals AG (D.S.), Basel, Switzerland
| | - E Carl
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - C Kolb
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - R Zivadinov
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center .,Center for Biomedical Imaging at Clinical Translational Research Center (M.G.D., R.Z.), State University of New York, Buffalo, New York
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28
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Zivadinov R, Tavazzi E, Bergsland N, Hagemeier J, Lin F, Dwyer MG, Carl E, Kolb C, Hojnacki D, Ramasamy D, Durfee J, Weinstock-Guttman B, Schweser F. Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis. Radiology 2018; 289:487-496. [PMID: 30015589 PMCID: PMC6219694 DOI: 10.1148/radiol.2018180136] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/30/2018] [Accepted: 05/04/2018] [Indexed: 11/11/2022]
Abstract
Purpose To study deep gray matter susceptibility in multiple sclerosis (MS) by using quantitative susceptibility mapping (QSM) and to assess the relationship between susceptibility and clinical disability. Materials and Methods For this prospective study between March 2009 and November 2013, 600 participants with MS (452 with relapsing-remitting MS and 148 with secondary progressive MS) and 250 age- and sex-matched healthy control participants were imaged with 3.0-T MRI to measure magnetic susceptibility. Deep gray matter susceptibility (in parts per billion) was analyzed by using region of interest and voxelwise methods. QSM and MRI volumetric differences between study groups and associations with clinical outcomes were assessed. Analysis of covariance, multivariable linear regression, and voxelwise analyses, controlling for age and sex, were used to compare study groups and to explore associations between MRI and clinical outcomes. Results Compared with control participants, participants with MS presented with lower thalamic susceptibility (-7.5 ppb vs -1.1 ppb; P < .001) and higher susceptibility of basal ganglia (62 ppb vs 54.8 ppb; P < .001). Lower thalamic susceptibility was associated with longer disease duration (β = -0.42; P = .002), higher degree of disability (β = -0.64; P = .03), and secondary-progressive course (β = -4.3; P = .009). Higher susceptibility of the globus pallidus was associated with higher disability (β = 2; P = .03). After correcting for each individual structural volume in voxelwise analysis, lower thalamic susceptibility and higher susceptibility of the globus pallidus remained associated with clinical disability (P < .05). Conclusion Quantitative susceptibility mapping (QSM) suggests that altered deep gray matter iron is associated with the evolution of multiple sclerosis (MS) and on disability accrual, independent of tissue atrophy. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Eleonora Tavazzi
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Fuchun Lin
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Michael G. Dwyer
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Ellen Carl
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Deepa Ramasamy
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Jacqueline Durfee
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Ferdinand Schweser
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
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29
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Abstract
Despite that the availability of new therapeutic options has expanded the multiple sclerosis (MS) disease-modifying therapy arsenal, interferon β (IFN-β) remains an important therapy option in the current decision-making process. This review will summarize the present knowledge of IFN-β mechanism of action, the overall safety, and the short- and long-term efficacy of its use in relapsing remitting MS and clinically isolated syndromes. Data on secondary progressive MS is also provided, although no clear benefit was identified.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14203
| | - Channa Kolb
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14202
| | - Murali Ramanathan
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14202.,Department of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York 14214
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14203.,MR Imaging Clinical Translational Research Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14203
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14202
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Jakimovski D, Gandhi S, Paunkoski I, Bergsland N, Hagemeier J, Ramasamy DP, Hojnacki D, Kolb C, Benedict RHB, Weinstock‐Guttman B, Zivadinov R. Hypertension and heart disease are associated with development of brain atrophy in multiple sclerosis: a 5‐year longitudinal study. Eur J Neurol 2018; 26:87-e8. [DOI: 10.1111/ene.13769] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 08/09/2018] [Indexed: 11/26/2022]
Affiliation(s)
- D. Jakimovski
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - S. Gandhi
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - I. Paunkoski
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - N. Bergsland
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - J. Hagemeier
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - D. P. Ramasamy
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - D. Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - C. Kolb
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - R. H. B. Benedict
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - B. Weinstock‐Guttman
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - R. Zivadinov
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
- Center for Biomedical Imaging at Clinical Translational Science Institute University at Buffalo State University of New York Buffalo NY USA
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31
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Zivadinov R, Tavazzi E, Hagemeier J, Carl E, Hojnacki D, Kolb C, Weinstock-Guttman B. The Effect of Glatiramer Acetate on Retinal Nerve Fiber Layer Thickness in Patients with Relapsing-Remitting Multiple Sclerosis: A Longitudinal Optical Coherence Tomography Study. CNS Drugs 2018; 32:763-770. [PMID: 29767815 DOI: 10.1007/s40263-018-0521-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Optical coherence tomography (OCT) is a technique that allows for the assessment of retinal nerve fiber layer thickness (RNFLT) and total macular volume (TMV), which reflect neuroaxonal integrity within the retina. As such it has been used in multiple sclerosis (MS) to study neurodegeneration. Glatiramer acetate (GA) is a widely used treatment for MS, which is suggested to have a possible neuroprotective role. OBJECTIVE The aim of this study was to assess RFNLT and TMV changes in relapsing-remitting MS (RRMS) patients who started treatment with GA and were followed for a 24-month period. METHODS A cohort of 60 RRMS patients and 40 healthy controls (HCs) were imaged with OCT at baseline and follow-up. All subjects also underwent clinical and neurological examination. Measurements were compared between the RRMS patients and HCs as well as between optic neuritis (ON)-affected and ON-unaffected eyes. RESULTS At baseline, MS patients showed lower average RNFLT (p = 0.046) and TMV (p = 0.013) when compared with HCs. No significant differences in the evolution of OCT measures were detected over the follow-up between MS patients and HCs. MS patients with both affected and unaffected eyes showed significantly lower average RNFLT, temporal inferior RNFLT, and TMV at baseline, compared with HCs. No significant differences between ON-affected and ON-unaffected eyes in MS patients were detected over the follow-up, except for the nasal superior RNFLT (p = 0.019). CONCLUSIONS This study suggests a beneficial role of GA on retinal axonal degeneration in MS, and further confirms the utility of OCT to monitor the neuroprotective effect of disease-modifying treatment.
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Affiliation(s)
- Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA. .,Center for Biomedical Imaging at Clinical and Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | - Eleonora Tavazzi
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Jesper Hagemeier
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Ellen Carl
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - David Hojnacki
- Department of Neurology, School of Medicine and Biomedical Sciences, Jacobs Multiple Sclerosis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Department of Neurology, School of Medicine and Biomedical Sciences, Jacobs Multiple Sclerosis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, School of Medicine and Biomedical Sciences, Jacobs Multiple Sclerosis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
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Zivadinov R, Ramasamy DP, Hagemeier J, Kolb C, Bergsland N, Schweser F, Dwyer MG, Weinstock-Guttman B, Hojnacki D. Evaluation of Leptomeningeal Contrast Enhancement Using Pre-and Postcontrast Subtraction 3D-FLAIR Imaging in Multiple Sclerosis. AJNR Am J Neuroradiol 2018; 39:642-647. [PMID: 29439125 DOI: 10.3174/ajnr.a5541] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 11/28/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE Leptomeningeal contrast enhancement is found in patients with multiple sclerosis, though reported rates have varied. The use of 3D-fluid-attenuated inversion recovery pre- and postcontrast subtraction imaging may more accurately determine the frequency of leptomeningeal contrast enhancement. The purpose of this study was to investigate the frequency of leptomeningeal contrast enhancement using the pre- and postcontrast subtraction approach and to evaluate 3 different methods of assessing the presence of leptomeningeal contrast enhancement. MATERIALS AND METHODS We enrolled 258 consecutive patients with MS (212 with relapsing-remitting MS, 32 with secondary-progressive MS, and 14 with clinically isolated syndrome) who underwent both pre- and 10-minute postcontrast 3D-FLAIR sequences after a single dose of gadolinium injection on 3T MR imaging. The analysis included leptomeningeal contrast-enhancement evaluation on 3D-FLAIR postcontrast images in native space (method A), on pre- and postcontrast 3D-FLAIR images in native space (method B), and on pre-/postcontrast 3D-FLAIR coregistered and subtracted images (method C, used as the criterion standard). RESULTS In total, 51 (19.7%) patients with MS showed the presence of leptomeningeal contrast enhancement using method A; 39 (15.1%), using method B; and 39 (15.1%), using method C (P = .002). Compared with method C as the criterion standard, method A showed 89.8% sensitivity and 92.7% specificity, while method B showed 84.6% sensitivity and 97.3% specificity (P < .001) at the patient level. Reproducibility was the highest using method C (κ agreement, r = 088, P < .001). The mean time to analyze the 3D-FLAIR images was significantly lower with method C compared with methods A and B (P < .001). CONCLUSIONS 3D-FLAIR postcontrast imaging offers a sensitive method for detecting leptomeningeal contrast enhancement in patients with MS. However, the use of subtraction imaging helped avoid false-positive cases, decreased reading time, and increased the accuracy of leptomeningeal contrast-enhancement foci detection in a clinical routine.
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Affiliation(s)
- R Zivadinov
- From the Department of Neurology (R.Z., D.P.R., J.H., N.B., F.S., M.G.D.), Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences
- Department of Neurology (R.Z., C.K., D.H.), Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, New York
| | - D P Ramasamy
- From the Department of Neurology (R.Z., D.P.R., J.H., N.B., F.S., M.G.D.), Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences
| | - J Hagemeier
- From the Department of Neurology (R.Z., D.P.R., J.H., N.B., F.S., M.G.D.), Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences
| | - C Kolb
- Department of Neurology (R.Z., C.K., D.H.), Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, New York
| | - N Bergsland
- From the Department of Neurology (R.Z., D.P.R., J.H., N.B., F.S., M.G.D.), Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences
| | - F Schweser
- From the Department of Neurology (R.Z., D.P.R., J.H., N.B., F.S., M.G.D.), Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences
| | - M G Dwyer
- From the Department of Neurology (R.Z., D.P.R., J.H., N.B., F.S., M.G.D.), Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences
| | - B Weinstock-Guttman
- Translational Imaging Center at Clinical Translational Science Institute (B.W.-G.)
| | - D Hojnacki
- Department of Neurology (R.Z., C.K., D.H.), Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, New York
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Lennerz C, Barman M, Sopher M, Tantawy M, Kolb C, Whittaker P. P399Colchicine for prevention of atrial fibrillation after open-heart surgery: a systematic review and meta-analysis. Europace 2018. [DOI: 10.1093/europace/euy015.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- C Lennerz
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - M Barman
- Al Ahli Hospital, Cardiology Department, Doha, Qatar
| | - M Sopher
- Royal Bournemouth Hospital, Bournemouth, United Kingdom
| | - M Tantawy
- Misr University for Science and Technology, Memorial Souad Kafafi University Hospital, Cardiology, 6 of October City, Egypt
| | - C Kolb
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - P Whittaker
- Wayne State University, Cardiovascular Research Institute, Department of Emergency Medicine, Detroit, United States of America
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34
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Von Krogh F, Semmler V, Reents T, Bourier F, Telishevska M, Kornmayer M, Kottmaier M, Brooks S, Koch-Buettner K, Lennerz C, Brkic A, Grebmer C, Hessling G, Kolb C, Deisenhofer I. P843Incidence of acute pacemaker implantation after ablation of persistent atrial fibrillation. Europace 2018. [DOI: 10.1093/europace/euy015.446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- F Von Krogh
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - V Semmler
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - T Reents
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - F Bourier
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - M Telishevska
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - M Kornmayer
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - M Kottmaier
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - S Brooks
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - K Koch-Buettner
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - C Lennerz
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - A Brkic
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - C Grebmer
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - G Hessling
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - C Kolb
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
| | - I Deisenhofer
- German Heart Center, Clinic for Heart and Circulatory Diseases, Munich, Germany
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35
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Kottmaier M, Bourier F, Pausch H, Reents T, Semmler V, Telishevska M, Koch-Buettner K, Lengauer S, Brooks S, Kornmayer M, Berger F, Rousseva E, Kolb C, Hessling G, Deisenhofer I. P379Safety of uninterrupted periprocedural edoxaban versus phenprocoumon for patients undergoing left atrial catheter ablation procedures. Europace 2018. [DOI: 10.1093/europace/euy015.190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- M Kottmaier
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - F Bourier
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - H Pausch
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - T Reents
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - V Semmler
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - M Telishevska
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - K Koch-Buettner
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - S Lengauer
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - S Brooks
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - M Kornmayer
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - F Berger
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - E Rousseva
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - C Kolb
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - G Hessling
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
| | - I Deisenhofer
- German Heart Center of Munich, Department of Electrophysiology, Munich, Germany
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Zivadinov R, Bergsland N, Hagemeier J, Tavazzi E, Ramasamy DP, Durfee J, Cherneva M, Carl E, Carl J, Kolb C, Hojnacki D, Weinstock-Guttman B. Effect of switching from glatiramer acetate 20 mg/daily to glatiramer acetate 40 mg three times a week on gray and white matter pathology in subjects with relapsing multiple sclerosis: A longitudinal DTI study. J Neurol Sci 2018; 387:152-156. [PMID: 29571854 DOI: 10.1016/j.jns.2018.02.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 02/08/2018] [Accepted: 02/09/2018] [Indexed: 10/18/2022]
Abstract
BACKGROUND Glatiramer acetate (GA) 40 mg × 3/weekly was approved for the treatment of relapsing-remitting multiple sclerosis (RRMS). While the beneficial effect of GA 20 mg/daily in MS patients on non-conventional MRI measures has been demonstrated, the effect of GA 40 mg × 3/weekly at the microstructural tissue level has yet to be explored. OBJECTIVE To investigate the effect of switching from GA 20 mg/daily to GA 40 mg × 3/weekly on the evolution of microstructural changes in the thalamus and normal appearing white matter (NAWM), using diffusion tensor imaging (DTI). METHODS In this observational, longitudinal, cross-over, 34-month MRI study, we recruited 150 RRMS patients that underwent MRI 12-18 months before switching (pre-index), during the switch (index) and 12-18 months after switching (post-index) from GA 20 mg/daily to GA 40 mg × 3/weekly. Regional DTI metrics and tract-based spatial statistics (TBSS) analyses were performed. Mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD) and fractional anisotropy (FA) were measured in thalamus and NAWM. RESULTS Regional DTI measures, measures of whole brain, white and gray matter, and thalamus volumes, as well as lesion volume, showed no significant changes. However, the voxel-wise TBSS analysis showed increased FA both in the NAWM and thalamus, as well as increased MD and AD in NAWM, and decreased RD in NAWM (p < .05). Areas of increased FA and MD as well as decreased RD in the NAWM, and increased AD both in the NAWM and thalamus were detected between index to post-index (p < .05). CONCLUSIONS This study confirms a comparable effect of GA 40 mg × 3/weekly to GA 20 mg/daily on DTI measures over 34 months.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, NY, USA.
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Eleonora Tavazzi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Jackie Durfee
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Mariya Cherneva
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Jillian Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Channa Kolb
- Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Department of Neurology, University of Buffalo, Buffalo, NY, USA
| | - David Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Department of Neurology, University of Buffalo, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Department of Neurology, University of Buffalo, Buffalo, NY, USA
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37
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Abstract
The active management of multiple sclerosis (MS) has been made possible during the last two decades with the advent of disease-modifying therapies (DMTs), leading to improved clinical outcomes for many patients. Furthermore, with the realization that MS does not adversely affect pregnancy outcome and that pregnancy does not have an overall negative impact on the long-term disease course of MS, the importance of appropriate counseling and discussion of future pregnancy plans with women of childbearing age is greater than ever. Although several DMTs are licensed for the treatment of MS, none are specifically approved for use during pregnancy or breastfeeding and the use of DMTs during these periods frequently gives rise to concerns regarding potential risks to the fetus. The outcomes of studies in patients with MS treated with DMTs during pregnancy and immediately postpartum have been the focus of several recently published papers. Given the high level of interest surrounding the prescribing of DMTs for MS patients of childbearing age, and the lack of clear guidance in this respect, the current review presents an up-to-date overview of new data, including observational data on real-world outcomes, that have been published during the last 2 years, and could inform future prescribing decisions.
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Affiliation(s)
- Caila Vaughn
- Department of Neurology, Jacobs MS Center for Treatment and Research, University at Buffalo, Buffalo, NY, USA.
| | - Aisha Bushra
- Department of Neurology, Jacobs MS Center for Treatment and Research, University at Buffalo, Buffalo, NY, USA
| | - Channa Kolb
- Department of Neurology, Jacobs MS Center for Treatment and Research, University at Buffalo, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs MS Center for Treatment and Research, University at Buffalo, Buffalo, NY, USA.
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Koch-Buettner K, Kottmaier M, Reents T, Holmgren E, Semmler V, Deiss M, Telishevska M, Kornmayer M, Brooks S, Grebmer C, Lennerz K, Kolb C, Hessling G, Deisenhofer I. P202Identification of predictors for atrial fibrillation-free survival after catheter ablation of persistent atrial fibrillation-results from a large prospective cohort. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx501.p202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Jakimovski D, Weinstock-Guttman B, Ramanathan M, Kolb C, Hojnacki D, Minagar A, Zivadinov R. Ocrelizumab: a B-cell depleting therapy for multiple sclerosis. Expert Opin Biol Ther 2017; 17:1163-1172. [PMID: 28658986 DOI: 10.1080/14712598.2017.1347632] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Multiple sclerosis (MS) is the most common neurological disease responsible for early disability in the young working population. In the last two decades, based on retrospective/prospective data, the use of disease-modifying therapies has been shown to slow the rate of disability progression and prolonged the time to conversion into secondary-progressive MS (SPMS). However, despite the availability of several approved therapies, disability progression cannot be halted significantly in all MS patients. Areas covered: This article reviews the immunopathology of the B-cells, and their role in pathogenesis of MS and their attractiveness as a potential therapeutic target in MS. The review focuses on the recently published ocrelizumab phase III trials in terms of its efficacy, safety, and tolerability as well as its future considerations. Expert opinion: B lymphocyte cell depletion therapy offers a compelling and promising new option for MS patients. Nonetheless, there is a need for heightened vigilance and awareness in detecting potential long-term consequences that currently remain unknown.
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Affiliation(s)
- Dejan Jakimovski
- a Buffalo Neuroimaging Analysis Center, Department of Neurology , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Bianca Weinstock-Guttman
- b Jacobs MS Center, Department of Neurology , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Murali Ramanathan
- c Department of Pharmaceutical Sciences , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Channa Kolb
- b Jacobs MS Center, Department of Neurology , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA
| | - David Hojnacki
- b Jacobs MS Center, Department of Neurology , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Alireza Minagar
- d Department of Neurology , Louisiana State University Health Sciences Center , Shreveport , LA , USA
| | - Robert Zivadinov
- a Buffalo Neuroimaging Analysis Center, Department of Neurology , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA.,e Translational Imaging Center at Clinical Translational Science Institute , Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York , Buffalo , NY , USA
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Koch-Buettner K, Kottmaier M, Reents T, Semmler V, Holmgren E, Deiss M, Telishevska M, Kornmayer M, Brooks S, Grebmer C, Lennerz K, Kolb C, Hessling G, Deisenhofer I. P894Identification of predictors for atrial fibrillation-free survival after catheter ablation of persistent atrial fibrillation-results from a large prospective cohort. Europace 2017. [DOI: 10.1093/ehjci/eux151.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Rousseva E, Hofmann M, Koch Buettner K, Bourier F, Kottmaier M, Kornmayer M, Brooks S, Kathan S, Lennerz C, Grebmer C, Brikic A, Deiss M, Kolb C, Hessling G, Deisenhofer I. P274Occurrence of persistent atrial fibrillation after pulmonary vein isolation for paroxysmal atrial fibrillation. Europace 2017. [DOI: 10.1093/ehjci/eux141.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Bourier F, Reents T, Kottmaier M, Kornmayer M, Telishevska M, Semmler V, Koch-Buettner K, Deiss M, Kolb C, Lennerz C, Hessling G, Deisenhofer I. P316New automatic mapping technology - Accuracy and efficacy. Europace 2017. [DOI: 10.1093/ehjci/eux141.043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Kornmayer M, Brooks S, Semmler V, Telishevska M, Bourier F, Kochbuettner K, Kottmair M, Lengauer S, Rousseva E, Lennerz C, Grebmer C, Reents T, Kolb C, Hessling G, Deisenhofer I. P875Is atrial anatomy predictive for paroxysmal AF recurrence after PVI? Europace 2017. [DOI: 10.1093/ehjci/eux151.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Mueller J, Kolb C. Efficacy of a hypericum extract (STW3-VI) – A reanalysis. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
IntroductionThe course of depression during therapy in studies is usually monitored by scales like HAMD. Also the course of single items of the HAMD during therapy might be of specific interest as some symptoms are of highly predictive value. Furthermore early improvement during antidepressive therapy is a new aspect which came into the focus.ObjectivesThe objectives of this study were to reanalyze clinical data regarding early improvement as well as specific symptoms or symptom cluster – like sleep disturbances.AimsThe aim of this study was to get deeper insight into the data structure of 2 RCTs (n = 398, 42 days treatment) comparing the efficacy of a hypericum extract (STW3-VI/900 mg once daily) to Placebo.MethodsData structure was evaluated by comparing the total scores of the HAMD-17 to a single item analysis and by calculating the factorial structure of the end of treatment data. The treatment potential was evaluated by calculating a positive predictive value from day 7 to the end of treatment. ANCOVA, factor analysis and regression methods were used.ResultsThe single item analyses were widely comparable to the highly significant treatment differences of the total scores as it were the calculated subscales. The positive predictive value of the treatment was about 75%.ConclusionsThe results underline the elsewhere proven treatment efficacy of STW3-VI regarding several new subscale aspects.Disclosure of interestCOI: The authors are employees of Steigerwald Arzneimittelwerk GmbH, Darmstadt, Germany.
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Petzold T, Thienel M, Konrad I, Schubert I, Regenauer R, Hoppe B, Lorenz M, Eckart A, Chandraratne S, Lennerz C, Kolb C, Braun D, Jamasbi J, Brandl R, Braun S, Siess W, Schulz C, Massberg S. Oral thrombin inhibitor aggravates platelet adhesion and aggregation during arterial thrombosis. Sci Transl Med 2016; 8:367ra168. [DOI: 10.1126/scitranslmed.aad6712] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 08/31/2016] [Indexed: 12/13/2022]
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Zhovtis Ryerson L, Frohman TC, Foley J, Kister I, Weinstock-Guttman B, Tornatore C, Pandey K, Donnelly S, Pawate S, Bomprezzi R, Smith D, Kolb C, Qureshi S, Okuda D, Kalina J, Rimler Z, Green R, Monson N, Hoyt T, Bradshaw M, Fallon J, Chamot E, Bucello M, Beh S, Cutter G, Major E, Herbert J, Frohman EM. Extended interval dosing of natalizumab in multiple sclerosis. J Neurol Neurosurg Psychiatry 2016; 87:885-9. [PMID: 26917698 DOI: 10.1136/jnnp-2015-312940] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 02/06/2016] [Indexed: 11/03/2022]
Abstract
BACKGROUND Natalizumab (NTZ), a monoclonal antibody to human α4β1/β7 integrin, is an effective therapy for multiple sclerosis (MS), albeit associated with progressive multifocal leukoencephalopathy (PML). Clinicians have been extending the dose of infusions with a hypothesis of reducing PML risk. The aim of the study is to evaluate the clinical consequences of reducing NTZ frequency of infusion up to 8 weeks 5 days. METHODS A retrospective chart review in 9 MS centres was performed in order to identify patients treated with extended interval dosing (EID) regimens of NTZ. Patients were stratified into 3 groups based on EID NTZ treatment schedule in individual centres: early extended dosing (EED; n=249) every 4 weeks 3 days to 6 weeks 6 days; late extended dosing (LED; n=274) every 7 weeks to 8 weeks 5 days; variable extended dosing (n=382) alternating between EED and LED. These groups were compared with patients on standard interval dosing (SID; n=1093) every 4 weeks. RESULTS 17% of patients on SID had new T2 lesions compared with 14% in EID (p=0.02); 7% of patients had enhancing T1 lesions in SID compared with 9% in EID (p=0.08); annualised relapse rate was 0.14 in the SID group, and 0.09 in the EID group. No evidence of clinical or radiographic disease activity was observed in 62% of SID and 61% of EID patients (p=0.83). No cases of PML were observed in EID group compared with 4 cases in SID cohort. CONCLUSIONS Dosing intervals up to 8 weeks 5 days did not diminish effectiveness of NTZ therapy. Further monitoring is ongoing to evaluate if the risk of PML is reduced in patients on EID.
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Affiliation(s)
- L Zhovtis Ryerson
- Department of Neurology, Langone Medical Center, New York University, New York, New York, USA
| | - T C Frohman
- Departments of Neurology & Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - J Foley
- Rocky Mountain MS Clinic, Salt Lake City, Utah, USA
| | - I Kister
- Department of Neurology, Langone Medical Center, New York University, New York, New York, USA
| | | | | | - K Pandey
- Barnabas Health MS Center, Livingston, New Jersey, USA
| | - S Donnelly
- CUNY Graduate Center, New York, New York, USA
| | - S Pawate
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - R Bomprezzi
- University of Massachusetts School of Medicine, Worcester, Massachusetts, USA
| | - D Smith
- Multiple Sclerosis Center of Connecticut, Norwich, Connecticut, USA
| | - C Kolb
- University of Buffalo, Buffalo, New York, USA
| | - S Qureshi
- Departments of Neurology & Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - D Okuda
- Departments of Neurology & Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - J Kalina
- Department of Neurology, Langone Medical Center, New York University, New York, New York, USA
| | - Z Rimler
- Department of Neurology, Langone Medical Center, New York University, New York, New York, USA
| | - R Green
- Barnabas Health MS Center, Livingston, New Jersey, USA
| | - N Monson
- Departments of Neurology & Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - T Hoyt
- Rocky Mountain MS Clinic, Salt Lake City, Utah, USA
| | - M Bradshaw
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - J Fallon
- Department of Neurology, Langone Medical Center, New York University, New York, New York, USA
| | - E Chamot
- University of Alabama School of Public Health, Birmingham, Alabama, USA
| | - M Bucello
- University of Buffalo, Buffalo, New York, USA
| | - S Beh
- Departments of Neurology & Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - G Cutter
- University of Alabama School of Public Health, Birmingham, Alabama, USA
| | - E Major
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - J Herbert
- Department of Neurology, Langone Medical Center, New York University, New York, New York, USA
| | - E M Frohman
- Departments of Neurology & Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, Texas, USA Department of Ophthalmology, University of Texas Southwestern Medical Center, Dallas, Texas, USA Department of Bioengineering, University of Texas at Dallas, Dallas, Texas, USA Department of Behavioural and Brain Sciences, University of Texas at Dallas, Dallas, Texas, USA
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Gandhi S, Jakimovski D, Ahmed R, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Use of natalizumab in multiple sclerosis: current perspectives. Expert Opin Biol Ther 2016; 16:1151-62. [DOI: 10.1080/14712598.2016.1213810] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Zivadinov R, Ramasamy DP, Benedict RRH, Polak P, Hagemeier J, Magnano C, Dwyer MG, Bergsland N, Bertolino N, Weinstock-Guttman B, Kolb C, Hojnacki D, Utriainen D, Haacke EM, Schweser F. Cerebral Microbleeds in Multiple Sclerosis Evaluated on Susceptibility-weighted Images and Quantitative Susceptibility Maps: A Case-Control Study. Radiology 2016; 281:884-895. [PMID: 27308776 DOI: 10.1148/radiol.2016160060] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Purpose To assess cerebral microbleed (CMB) prevalence in patients with multiple sclerosis (MS) and clinically isolated syndrome (CIS) and associations with clinical outcomes. Materials and Methods CMBs are associated with aging and neurodegenerative disorders. The prevalence of CMBs has not previously been well established. In this study, 445 patients with MS (266 with relapsing-remitting MS, 138 with secondary progressive MS, and 41 with primary progressive MS), 45 patients with CIS, 51 patients with other neurological diseases, and 177 healthy control subjects (HCs) underwent 3-T magnetic resonance (MR) imaging and clinical examinations. A subset of 168 patients with MS and 50 HCs underwent neuropsychological testing. Number of CMBs was assessed on susceptibility-weighted minimum intensity projections by using the Microbleed Anatomic Rating Scale; volume was calculated by using quantitative susceptibility maps. Differences between groups were analyzed with the χ2 test, Fisher exact test, Student t test, and analysis of variance; associations of CMBs with clinical and other MR imaging outcomes were explored with correlation and regression analyses. Because CMB frequency increases with age, prevalence was investigated in participants at least 50 years of age and younger than 50 years. Results Significantly more patients with MS than HCs had CMBs (19.8% vs 7.4%, respectively; P = .01) in the group at least 50 years old. A trend toward greater presence of CMBs was found in patients with MS (P = .016) and patients with CIS who were younger than 50 years (P = .039) compared with HCs. In regression analysis adjusted for age, hypertension, and normalized brain volume, increased number of CMBs was significantly associated with increased physical disability in the MS population (R2 = 0.23, P < .0001). In correlation analysis, increased number of CMBs was significantly associated with deteriorated auditory and verbal learning and memory (P = .006) and visual information processing speed trends (P = .049) in patients with MS. Conclusion Monitoring CMBs may be relevant in patients with MS and CIS at higher risk for developing cognitive and physical disability. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Deepa P Ramasamy
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Ralph R H Benedict
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Paul Polak
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Christopher Magnano
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Michael G Dwyer
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Nicola Bertolino
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - David Utriainen
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - E Mark Haacke
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
| | - Ferdinand Schweser
- From the Buffalo Neuroimaging Analysis Ctr, Dept of Neurology (R.Z., D.P.R., P.P., J.H., C.M., M.G.D., N. Bergsland, N. Bertolino, F.S.), MR Imaging Clinical and Translational Research Ctr (R.Z., C.M., F.S.), and Jacobs Multiple Sclerosis Ctr, Dept of Neurology (R.R.H.B., B.W.G., C.K., D.H.), Jacobs School of Medicine and Biomedical Sciences, Univ at Buffalo, The State Univ of New York, 100 High St, Buffalo, NY 14203; GE Healthcare, Waukesha, Wis (C.M.); Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy (N. Bergsland); Magnetic Resonance Innovations, Detroit, Mich (D.U.); Dept of Radiology, Wayne State Univ, Detroit, Mich (E.M.H.); School of Biomedical Engineering, McMaster Univ, Hamilton, Ontario, Canada (E.M.H.); and Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univ, Shanghai, China (E.M.H.)
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Zivadinov R, Raj B, Ramanathan M, Teter B, Durfee J, Dwyer MG, Bergsland N, Kolb C, Hojnacki D, Benedict RH, Weinstock-Guttman B. Autoimmune Comorbidities Are Associated with Brain Injury in Multiple Sclerosis. AJNR Am J Neuroradiol 2016; 37:1010-6. [PMID: 26892983 DOI: 10.3174/ajnr.a4681] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 11/25/2015] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND PURPOSE The effect of comorbidities on disease severity in MS has not been extensively characterized. We determined the association of comorbidities with MR imaging disease severity outcomes in MS. MATERIALS AND METHODS Demographic and clinical history of 9 autoimmune comorbidities confirmed by retrospective chart review and quantitative MR imaging data were obtained in 815 patients with MS. The patients were categorized on the basis of the presence/absence of total and specific comorbidities. We analyzed the MR imaging findings, adjusting for key covariates and correcting for multiple comparisons. RESULTS Two hundred forty-one (29.6%) study subjects presented with comorbidities. Thyroid disease had the highest frequency (n = 97, 11.9%), followed by asthma (n = 41, 5%), type 2 diabetes mellitus (n = 40, 4.9%), psoriasis (n = 33, 4%), and rheumatoid arthritis (n = 22, 2.7%). Patients with MS with comorbidities showed decreased whole-brain and cortical volumes (P < .001), gray matter volume and magnetization transfer ratio of normal-appearing brain tissue (P < .01), and magnetization transfer ratio of gray matter (P < .05). Psoriasis, thyroid disease, and type 2 diabetes mellitus comorbidities were associated with decreased whole-brain, cortical, and gray matter volumes (P < .05). Psoriasis was associated with a decreased magnetization transfer ratio of normal-appearing brain tissue (P < .05), while type 2 diabetes mellitus was associated with increased mean diffusivity (P < .01). CONCLUSIONS The presence of comorbidities in patients with MS is associated with brain injury on MR imaging. Psoriasis, thyroid disease, and type 2 diabetes mellitus comorbidities were associated with more severe nonconventional MR imaging outcomes.
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Affiliation(s)
- R Zivadinov
- From the, Department of Neurology (R.Z., B.R., J.D., M.G.D., N.B.), Buffalo Neuroimaging Analysis Center MR Imaging Clinical Translational Research Center (R.Z.)
| | - B Raj
- From the, Department of Neurology (R.Z., B.R., J.D., M.G.D., N.B.), Buffalo Neuroimaging Analysis Center
| | - M Ramanathan
- Department of Pharmaceutical Sciences (M.R.), School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York
| | - B Teter
- Department of Neurology (B.T., C.K., D.H., R.H.B., B.W.-G.), Jacobs MS Center, University at Buffalo, State University of New York, Buffalo, New York
| | - J Durfee
- From the, Department of Neurology (R.Z., B.R., J.D., M.G.D., N.B.), Buffalo Neuroimaging Analysis Center
| | - M G Dwyer
- From the, Department of Neurology (R.Z., B.R., J.D., M.G.D., N.B.), Buffalo Neuroimaging Analysis Center
| | - N Bergsland
- From the, Department of Neurology (R.Z., B.R., J.D., M.G.D., N.B.), Buffalo Neuroimaging Analysis Center Magnetic Resonance Laboratory (N.B.), IRCCS Don Gnocchi Foundation, Milan, Italy
| | - C Kolb
- Department of Neurology (B.T., C.K., D.H., R.H.B., B.W.-G.), Jacobs MS Center, University at Buffalo, State University of New York, Buffalo, New York
| | - D Hojnacki
- Department of Neurology (B.T., C.K., D.H., R.H.B., B.W.-G.), Jacobs MS Center, University at Buffalo, State University of New York, Buffalo, New York
| | - R H Benedict
- Department of Neurology (B.T., C.K., D.H., R.H.B., B.W.-G.), Jacobs MS Center, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Department of Neurology (B.T., C.K., D.H., R.H.B., B.W.-G.), Jacobs MS Center, University at Buffalo, State University of New York, Buffalo, New York
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50
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Kappus N, Weinstock-Guttman B, Hagemeier J, Kennedy C, Melia R, Carl E, Ramasamy DP, Cherneva M, Durfee J, Bergsland N, Dwyer MG, Kolb C, Hojnacki D, Ramanathan M, Zivadinov R. Cardiovascular risk factors are associated with increased lesion burden and brain atrophy in multiple sclerosis. J Neurol Neurosurg Psychiatry 2016; 87:181-7. [PMID: 25722366 DOI: 10.1136/jnnp-2014-310051] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 02/04/2015] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cardiovascular (CV) risk factors have been associated with changes in clinical outcomes in patients with multiple sclerosis (MS). OBJECTIVES To investigate the frequency of CV risks in patients with MS and their association with MRI outcomes. METHODS In a prospective study, 326 patients with relapsing-remitting MS and 163 patients with progressive MS, 61 patients with clinically isolated syndrome (CIS) and 175 healthy controls (HCs) were screened for CV risks and scanned on a 3T MRI scanner. Examined CV risks included hypertension, heart disease, smoking, overweight/obesity and type 1 diabetes. MRI measures assessed lesion volumes (LVs) and brain atrophy. Association between individual or multiple CV risks and MRI outcomes was examined adjusting for age, sex, race, disease duration and treatment status. RESULTS Patients with MS showed increased frequency of smoking (51.7% vs 36.5%, p = 0.001) and hypertension (33.9% vs 24.7%, p=0.035) compared with HCs. In total, 49.9% of patients with MS and 36% of HCs showed ≥ 2 CV risks (p = 0.003), while the frequency of ≥ 3 CV risks was 18.8% in the MS group and 8.6% in the HCs group (p = 0.002). In patients with MS, hypertension and heart disease were associated with decreased grey matter (GM) and cortical volumes (p < 0.05), while overweight/obesity was associated with increased T1-LV (p < 0.39) and smoking with decreased whole brain volume (p = 0.049). Increased lateral ventricle volume was associated with heart disease (p = 0.029) in CIS. CONCLUSIONS Patients with MS with one or more CV risks showed increased lesion burden and more advanced brain atrophy.
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Affiliation(s)
- Natalie Kappus
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Jesper Hagemeier
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Cheryl Kennedy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Rebecca Melia
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Ellen Carl
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Deepa P Ramasamy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Mariya Cherneva
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Jacqueline Durfee
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Channa Kolb
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - David Hojnacki
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA MR Imaging Clinical Translational Research Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
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