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220 results on '"Hennerici, M.G."'

1. Incidence and Outcomes of Patients With Early Cardiac Complications After Intracerebral Hemorrhage: A Report From VISTA

Author

Ishiguchi, Hironori, Huang, Bi, El-Bouri, Wahbi K., Dawson, Jesse, Lip, Gregory Y.H., Abdul-Rahim, Azmil H., Lees, K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Chen, C., Claesson, L., Curram, J., Davis, S.M., Diener, H-C., Donnan, G., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Roffe, C., Sacco, R., Shuaib, A., Teal, P., Venketasubramanian, N., Wahlgren, N.G., and Warach, S.

Published
2024
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2. Prevalence, Trajectory, and Predictors of Poststroke Pain: Retrospective Analysis of Pooled Clinical Trial Data Set

Author

Ali, Myzoon, Tibble, Holly, Brady, Marian C., Quinn, Terence J., Sunnerhagen, Katharina S., Venketasubramanian, Narayanaswamy, Shuaib, Ashfaq, Pandyan, Anand, Mead, Gillian, Lees, K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Chen, C., Claesson, L., Curram, J., Davis, S.M., Diener, H-C., Donnan, G., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste (Emeritus), M., Lyden, P., Marler, J., Muir, K., Roffe, C., Teal, P., Wahlgren, N.G., Warach, S., Ali, M., Ashburn, A., Barer, D., Barzel, A., Bernhardt, J., Bowen, A., Drummond, A., Edmans, J., English, C., Gladman (Emeritus), J., Godecke, E., Hiekkala, S., Hoffman, T., Kalra, L., Kuys, S., Langhorne, P., Laska, A.C., Lees, K.R., Logan, P., Machner, B., Morris, J., Pollock, A., Pomeroy, V., Rodgers, H., Sackley, C., Shaw, L., Stott, D.J., Tyson, S., van Vliet, P., Walker, M., Whiteley, W., Hanley, D.F., Butcher, K., Davis, S., Gregson, B., Lees, K.R., Lyden, P., Mayer, S., Muir, K., and Steiner, T.

Published
2023
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3. Sex and Stroke in Thrombolyzed Patients and Controls

Author

Hametner, Christian, MacIsaac, Rachael L., Kellert, Lars, Abdul-Rahim, Azmil H., Ringleb, Peter A., Lees, Kennedy R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Chen, C., Claesson, L., Davis, S.M., Donnan, G., Diener, H.C., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Venketasubramanian, N., Sacco, R., Shuaib, A., Teal, P., Wahlgren, N.G., Warach, S., and Weimar, C.

Published
2017
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4. Temporal Profile of Pneumonia After Stroke

Author

de Jonge, Jeroen C., primary, van de Beek, Diederik, additional, Lyden, Patrick, additional, Brady, Marian C., additional, Bath, Philip M., additional, van der Worp, H. Bart, additional, Lees, K.R., additional, Alexandrov, A., additional, Berge, E., additional, Bluhmki, E., additional, Bornstein, N., additional, Chen, C., additional, Claesson, L., additional, Davis, S.M., additional, Donnan, G., additional, Diener, H.C., additional, Fisher, M., additional, Ginsberg, M., additional, Gregson, B., additional, Grotta, J., additional, Hacke, W., additional, Hennerici, M.G., additional, Hommel, M., additional, Kaste, M., additional, Marler, J., additional, Muir, K., additional, Venketasubramanian, N., additional, Sacco, R., additional, Shuaib, A., additional, Teal, P., additional, Wahlgren, N.G., additional, Warach, S., additional, and Weimar, C., additional

Published
2022
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5. β-Blockers, Pneumonia, and Outcome After Ischemic Stroke: Evidence From Virtual International Stroke Trials Archive

Author

Sykora, Marek, Siarnik, Pavel, Diedler, Jennifer, Lees, K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Claesson, L., Davis, S.M., Donnan, G., Diener, H. C., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Sacco, R., Shuaib, A., Teal, P., Wahlgren, N.G., Warach, S., and Weimar, C.

Published
2015
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6. National Institutes of Health Stroke Scale Item Profiles as Predictor of Patient Outcome: External Validation on Independent Trial Data

Author

Abdul-Rahim, Azmil H., Fulton, Rachael L., Sucharew, Heidi, Kleindorfer, Dawn, Khatri, Pooja, Broderick, Joseph P., Lees, Kennedy R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Claesson, L., Curram, J., Davis, S.M., Donnan, G., Diener, H.C., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Sacco, R., Shuaib, A., Teal, P., Wahlgren, N.G., Warach, S., and Weimar, C.

Published
2015
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7. Stroke Care during the COVID-19 Pandemic: International Expert Panel Review

Author

Venketasubramanian, N. Anderson, C. Ay, H. Aybek, S. Brinjikji, W. De Freitas, G.R. Del Brutto, O.H. Fassbender, K. Fujimura, M. Goldstein, L.B. Haberl, R.L. Hankey, G.J. Heiss, W.-D. Lestro Henriques, I. Kase, C.S. Kim, J.S. Koga, M. Kokubo, Y. Kuroda, S. Lee, K. Lee, T.-H. Liebeskind, D.S. Lip, G.Y.H. Meairs, S. Medvedev, R. Mehndiratta, M.M. Mohr, J.P. Nagayama, M. Pantoni, L. Papanagiotou, P. Parrilla, G. Pastori, D. Pendlebury, S.T. Pettigrew, L.C. Renjen, P.N. Rundek, T. Schminke, U. Shinohara, Y. Tang, W.K. Toyoda, K. Wartenberg, K.E. Wasay, M. Hennerici, M.G.

Abstract

Background: Coronavirus disease 2019 (COVID-19) has placed a tremendous strain on healthcare services. This study, prepared by a large international panel of stroke experts, assesses the rapidly growing research and personal experience with COVID-19 stroke and offers recommendations for stroke management in this challenging new setting: modifications needed for prehospital emergency rescue and hyperacute care; inpatient intensive or stroke units; posthospitalization rehabilitation; follow-up including at-risk family and community; and multispecialty departmental developments in the allied professions. Summary: The severe acute respiratory syndrome coronavirus 2 uses spike proteins binding to tissue angiotensin-converting enzyme (ACE)-2 receptors, most often through the respiratory system by virus inhalation and thence to other susceptible organ systems, leading to COVID-19. Clinicians facing the many etiologies for stroke have been sobered by the unusual incidence of combined etiologies and presentations, prominent among them are vasculitis, cardiomyopathy, hypercoagulable state, and endothelial dysfunction. International standards of acute stroke management remain in force, but COVID-19 adds the burdens of personal protections for the patient, rescue, and hospital staff and for some even into the postdischarge phase. For pending COVID-19 determination and also for those shown to be COVID-19 affected, strict infection control is needed at all times to reduce spread of infection and to protect healthcare staff, using the wealth of well-described methods. For COVID-19 patients with stroke, thrombolysis and thrombectomy should be continued, and the usual early management of hypertension applies, save that recent work suggests continuing ACE inhibitors and ARBs. Prothrombotic states, some acute and severe, encourage prophylactic LMWH unless bleeding risk is high. COVID-19-related cardiomyopathy adds risk of cardioembolic stroke, where heparin or warfarin may be preferable, with experience accumulating with DOACs. As ever, arteritis can prove a difficult diagnosis, especially if not obvious on the acute angiogram done for clot extraction. This field is under rapid development and may generate management recommendations which are as yet unsettled, even undiscovered. Beyond the acute management phase, COVID-19-related stroke also forces rehabilitation services to use protective precautions. As with all stroke patients, health workers should be aware of symptoms of depression, anxiety, insomnia, and/or distress developing in their patients and caregivers. Postdischarge outpatient care currently includes continued secondary prevention measures. Although hoping a COVID-19 stroke patient can be considered cured of the virus, those concerned for contact safety can take comfort in the increasing use of telemedicine, which is itself a growing source of patient-physician contacts. Many online resources are available to patients and physicians. Like prior challenges, stroke care teams will also overcome this one. Key Messages: Evidence-based stroke management should continue to be provided throughout the patient care journey, while strict infection control measures are enforced. © 2021 S. Karger AG, Basel. Copyright: All rights reserved.

Published
2021

8. Characteristic Adverse Events and Their Incidence Among Patients Participating in Acute Ischemic Stroke Trials

Author

Hesse, Kerrick, Fulton, Rachael L., Abdul-Rahim, Azmil H., Lees, Kennedy R., Alexandrov, A.V., Bath, P.W., Bluhmki, E., Claesson, L., Curram, J., Davis, S.M., Donnan, G., Diener, H.C., Fisher, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Sacco, R., Shuaib, A., Teal, P., Wahlgren, N.G., Warach, S., and Weimar, C.

Published
2014
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13. THRIVE Score Predicts Ischemic Stroke Outcomes and Thrombolytic Hemorrhage Risk in VISTA

Author

Flint, Alexander C., Faigeles, Bonnie S., Cullen, Sean P., Kamel, Hooman, Rao, Vivek A., Gupta, Rishi, Smith, Wade S., Bath, Philip M., Donnan, Geoffrey A., Lees, K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Claesson, L., Davis, S.M., Donnan, G., Diener, H.C., Fisher, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Sacco, R., Shuaib, A., Teal, P., Wahlgren, N.G., Warach, S., and Weimar, C.

Published
2013
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17. Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies

Author

Wilson, D. (Duncan), Ambler, G. (Gareth), Lee, K.-J. (Keon-Joo), Lim, J.-S. (Jae-Sung), Shiozawa, M. (Masayuki), Koga, M. (Masatoshi), Li, L. (Linxin), Lovelock, C. (Caroline), Chabriat, H. (Hugues), Hennerici, M.G. (Michael), Wong, Y.K. (Yuen Kwun), Mak, H.K.F. (Henry Ka Fung), Prats-Sánchez, L. (Luis), Martínez-Domeño, A. (Alejandro), Inamura, S. (Shigeru), Yoshifuji, K. (Kazuhisa), Arsava, E.M. (Ethem Murat), Horstmann, S. (Solveig), Purrucker, J. (Jan), Lam, B.Y.K. (Bonnie Yin Ka), Wong, A. (Adrian), Kim, Y.D. (Young Dae), Song, T.-J. (Tae-Jin), Schrooten, M. (Maarten), Lemmens, R. (Robin), Eppinger, S. (Sebastian), Gattringer, T. (Thomas), Uysal, E. (Ender), Tanriverdi, Z. (Zeynep), Bornstein, S.R. (Stefan), Assayag, E.B. (Einor Ben), Hallevi, H. (Hen), Tanaka, J. (Jun), Hara, H. (Hideo), Coutts, S.B. (Shelagh B), Hert, L. (Lisa), Polymeris, A. (Alexandros), Seiffge, D.J. (David J), Lyrer, P.A. (Philippe), Algra, A. (Ale), Kappelle, L.J. (Jaap), Al-Shahi Salman, R. (Rustam), Jäger, H.R. (Rolf), Lip, G.Y.H. (Gregory Y H), Mattle, H., Panos, L.D. (Leonidas D), Mas, J.L. (J.), Legrand, L. (Laurence), Karayiannis, C. (Christopher), Phan, T.G. (Thanh), Gunkel, S. (Sarah), Christ, N. (Nicolas), Abrigo, J. (Jill), Leung, T. (Thomas), Chu, W. (Winnie), Chappell, F. (Francesca), Makin, S. (Stephen), Hayden, D. (Derek), Williams, D.J. (David J), Kooi, M.E. (M. Eline), van Dam-Nolen, D.H.K. (Dianne H K), Barbato, C. (Carmen), Browning, S. (Simone), Wiegertjes, K. (Kim), Tuladhar, A.M. (Anil M.), Maaijwee, N. (Noortje), Guevarra, C. (Christine), Yatawara, C. (Chathuri), Mendyk, A.-M. (Anne-Marie), Delmaire, C. (Christine), Köhler, S. (Sebastian), Oostenbrugge, R.J. (Robert) van, Zhou, Y. (Ying), Xu, C. (Chao), Hilal, S. (Saima), Gyanwali, B. (Bibek), Chen, C. (Christopher), Lou, M. (Min), Staals, J. (Julie), Bordet, R. (Régis), Kandiah, N. (Nagaendran), Leeuw, H.F. (Frank) de, Simister, R. (Robert), Lugt, A. (Aad) van der, Kelly, P.J. (Peter J), Wardlaw, J.M. (J.), Soo, Y. (Yannie), Fluri, F. (Felix), Srikanth, V. (Velandai), Calvet, D. (David), Jung, S. (Simon), Kwa, V.I.H., Engelter, S.T. (Stefan), Peters, N. (Nils), Smith, E.E. (Eric), Yakushiji, Y. (Yusuke), Orken, D.N. (Dilek Necioglu), Fazekas, F. (Franz), Thijs, V. (Vincent), Heo, J.H. (Ji Hoe), Mok, V. (Vincent), Veltkamp, R. (Roland), Ay, H. (Hakan), Imaizumi, T. (Toshio), Gomez-Anson, B. (Beatriz), Lau, K.K. (Kui Kai), Jouvent, E. (Eric), Rothwell, P.M. (Peter), Toyoda, K. (Kazunori), Bae, H.-J. (Hee-Joon), Marti-Fabregas, J. (Joan), Werring, D.J. (David), Harkness, K. (Kirsty), Shaw, L. (Louise), Sword, J. (Jane), Mohd Nor, A. (Azlisham), Sharma, P. (Pankaj), Kelly, D. (Deborah), Harrington, F. (Frances), Randall, M. (Marc), Smith, M. (Matthew), Mahawish, K. (Karim), Elmarim, A. (Abduelbaset), Esisi, B. (Bernard), Cullen, C. (Claire), Nallasivam, A. (Arumug), Price, C. (Christopher), Barry, A. (Adrian), Roffe, C. (Christine), Coyle, J. (John), Hassan, A. (Ahamad), Birns, J. (Jonathan), Cohen, D. (David), Sekaran, L. (Lakshmanan), Parry-Jones, A. (Adrian), Parry, A. (Anthea), Hargroves, D. (David), Proschel, H. (Harald), Datta, P. (Prabel), Darawil, K. (Khaled), Manoj, A. (Aravindakshan), Burn, M. (Mathew), Patterson, C. (Chris), Giallombardo, E. (Elio), Smyth, N. (Nigel), Mansoor, S. (Syed), Anwar, I. (Ijaz), Marsh, R. (Rachel), Ispoglou, S. (Sissi), Chadha, D. (Dinesh), Prabhakaran, M. (Mathuri), Meenakishundaram, S. (Sanjeevikumar), O'Connell, J. (Janice), Scott, J. (Jon), Krishnamurthy, V. (Vinodh), Aghoram, P. (Prasanna), McCormick, M. (Michael), Sprigg, N. (Nikola), O'Mahony, P. (Paul), Cooper, M. (Martin), Choy, L. (Lillian), Wilkinson, P. (Peter), Leach, S. (Simon), Caine, S. (Sarah), Burger, I. (Ilse), Gunathilagan, G. (Gunaratam), Guyler, P. (Paul), Emsley, H. (Hedley), Davis, M. (Michelle), Manawadu, D. (Dulka), Pasco, K. (Kath), Mamun, M. (Maam), Luder, R. (Robert), Sajid, M. (Mahmud), Okwera, J. (James), Warburton, E. (Elizabeth), Saastamoinen, K. (Kari), England, T. (Timothy), Putterill, J. (Janet), Flossman, E. (Enrico), Power, M. (Michael), Dani, K. (Krishna), Mangion, D. (David), Suman, A. (Appu), Corrigan, J. (John), Lawrence, E. (Enas), Vahidassr, D. (Djamil), Shakeshaft, C. (Clare), Brown, M. (Martin), Charidimou, A. (Andreas), Cohen, H. (Hannah), Banerjee, G. (Gargi), Houlden, H. (Henry), White, M. (Mark), Yousry, T. (Tarek), Flossmann, E. (Enrico), Muir, K. (Keith), El-Koussy, M. (Marwan), Gratz, P. (Pascal), Molad, J. (Jeremy), Korczyn, A.D. (A.), Kliper, E. (Efrat), Maeder, P. (Philippe), Gass, A. (Achim), Pachai, C. (Chahin), Bracoub, L. (Luc), Douste-Blazy, M.-Y. (Marie-Yvonne), Fratacci, M.D. (Marie Dominique), Vicaut, E. (Eric), Sato, S. (Shoichiro), Miwa, K. (Kaori), Fujita, K. (Kyohei), Ide, T. (Toshihiro), Ma, H. (Henry), Ly, J. (John), Singhal, S. (Shahoo), Chandra, R. (Ronil), Slater, L.-A. (Lee-Anne), Soufan, C. (Cathy), Moran, C. (Christopher), Traenka, C. (Christopher), Thilemann, S. (Sebastian), Fladt, J. (Joachim), Gensicke, H. (Henrik), Bonati, L. (Leo), Kim, B.J. (Beom Joon), Han, M.-K. (Moon-Ku), Kang, J. (Jihoon), Ko, E. (Eunbin), Yang, M.H. (Mi Hwa), Jang, M.S. (Myung Suk), Murphy, S. (Sean), Carty, F. (Fiona), Akijian, L. (Layan), Thornton, J. (John), Schembri, M. (Mark), Douven, E. (Elles), Delgado-Mederos;, R. (Raquel), Marín, R. (Rebeca), Camps-Renom, P. (Pol), Guisado-Alonso, D. (Daniel), Nuñez, F. (Fidel), Medrano-Martorell, S. (Santiago), Merino, E. (Elisa), Iida, K. (Kotaro), Ikeda, S. (Syuhei), Nishihara, M. (Masashi), Irie, H. (Hiroyuki), Demirelli, D.S. (Derya Selcuk), Medanta, J.M. (Jayesh Modi), Zerna, C. (Charlotte), Hernández, M.V. (Maria Valdés), Armitage, P. (Paul), Heye, A. (Anna), Muñoz Maniega, S. (Susana), Sakka, E. (Eleni), Thrippleton, M. (Michael), Dennis, M.S. (M.), Beigneux, Y. (Ysoline), Silva, M. (Mauro), Venketasubramanian, N. (Narayanaswamy), Ho, S.L. (Shu Leung), Cheung, R.T.F. (Raymond Tak Fai), Chan, K.H. (Koon Ho), Teo, K.C. (Kay Cheong), Hui, E. (Edward), Kwan, J.S.K. (Joseph Shiu Kwong), Chang, R. (Richard), Tse, M.Y. (Man Yu), Hoi, C.P. (Chu Peng), Chan, C.Y. (Chung Yan), Chan, O.L. (Oi Ling), Cheung, R.H.K. (Ryan Hoi Kit), Wong, E.K.M. (Edmund Ka Ming), Leung, K.T. (Kam Tat), Tsang, S.F. (Suk Fung), Ip, H.L. (Hing Lung), Ma, S.H. (Sze Ho), Ma, K. (Karen), Fong, W.C. (Wing Chi), Li, S.H. (Siu Hung), Li, R. (Richard), Ng, P.W. (Ping Wing), Wong, K.K. (Kwok Kui), Liu, W. (Wenyan), Wong, L. (Lawrence), Ramos, L. (Lino), Schryver, E.L.L.M. (Els) de, Jöbsis, J. (Joost), van der Sande, J. (Jaap), Brouwers, P.J. (Paul), Roos, Y.B.W.E.M. (Yvo), Stam, J. (Jan), Bakker, S.L.M. (Stef), Verbiest, H. (Henk), Schoonewille, W. (Wouter), Linn, C. (Cisca), Hertzberger, L., Gemert, M. (Maarten) van, Berntsen, P. (Paul), Hendrikse, J. (Jeroen), Nederkoorn, P.J. (Paul), Mess, W.H. (Werner), Koudstaal, P.J. (Peter), Leff, A. (Alexander), Ward, N. (Nicholas), Nachev, P. (Parashkev), Perry, R. (Richard), Ozkan, H. (Hatice), Mitchell, J. (John), Wilson, D. (Duncan), Ambler, G. (Gareth), Lee, K.-J. (Keon-Joo), Lim, J.-S. (Jae-Sung), Shiozawa, M. (Masayuki), Koga, M. (Masatoshi), Li, L. (Linxin), Lovelock, C. (Caroline), Chabriat, H. (Hugues), Hennerici, M.G. (Michael), Wong, Y.K. (Yuen Kwun), Mak, H.K.F. (Henry Ka Fung), Prats-Sánchez, L. (Luis), Martínez-Domeño, A. (Alejandro), Inamura, S. (Shigeru), Yoshifuji, K. (Kazuhisa), Arsava, E.M. (Ethem Murat), Horstmann, S. (Solveig), Purrucker, J. (Jan), Lam, B.Y.K. (Bonnie Yin Ka), Wong, A. (Adrian), Kim, Y.D. (Young Dae), Song, T.-J. (Tae-Jin), Schrooten, M. (Maarten), Lemmens, R. (Robin), Eppinger, S. (Sebastian), Gattringer, T. (Thomas), Uysal, E. (Ender), Tanriverdi, Z. (Zeynep), Bornstein, S.R. (Stefan), Assayag, E.B. (Einor Ben), Hallevi, H. (Hen), Tanaka, J. (Jun), Hara, H. (Hideo), Coutts, S.B. (Shelagh B), Hert, L. (Lisa), Polymeris, A. (Alexandros), Seiffge, D.J. (David J), Lyrer, P.A. (Philippe), Algra, A. (Ale), Kappelle, L.J. (Jaap), Al-Shahi Salman, R. (Rustam), Jäger, H.R. (Rolf), Lip, G.Y.H. (Gregory Y H), Mattle, H., Panos, L.D. (Leonidas D), Mas, J.L. (J.), Legrand, L. (Laurence), Karayiannis, C. (Christopher), Phan, T.G. (Thanh), Gunkel, S. (Sarah), Christ, N. (Nicolas), Abrigo, J. (Jill), Leung, T. (Thomas), Chu, W. (Winnie), Chappell, F. (Francesca), Makin, S. (Stephen), Hayden, D. (Derek), Williams, D.J. (David J), Kooi, M.E. (M. Eline), van Dam-Nolen, D.H.K. (Dianne H K), Barbato, C. (Carmen), Browning, S. (Simone), Wiegertjes, K. (Kim), Tuladhar, A.M. (Anil M.), Maaijwee, N. (Noortje), Guevarra, C. (Christine), Yatawara, C. (Chathuri), Mendyk, A.-M. (Anne-Marie), Delmaire, C. (Christine), Köhler, S. (Sebastian), Oostenbrugge, R.J. (Robert) van, Zhou, Y. (Ying), Xu, C. (Chao), Hilal, S. (Saima), Gyanwali, B. (Bibek), Chen, C. (Christopher), Lou, M. (Min), Staals, J. (Julie), Bordet, R. (Régis), Kandiah, N. (Nagaendran), Leeuw, H.F. (Frank) de, Simister, R. (Robert), Lugt, A. (Aad) van der, Kelly, P.J. (Peter J), Wardlaw, J.M. (J.), Soo, Y. (Yannie), Fluri, F. (Felix), Srikanth, V. (Velandai), Calvet, D. (David), Jung, S. (Simon), Kwa, V.I.H., Engelter, S.T. (Stefan), Peters, N. (Nils), Smith, E.E. (Eric), Yakushiji, Y. (Yusuke), Orken, D.N. (Dilek Necioglu), Fazekas, F. (Franz), Thijs, V. (Vincent), Heo, J.H. (Ji Hoe), Mok, V. (Vincent), Veltkamp, R. (Roland), Ay, H. (Hakan), Imaizumi, T. (Toshio), Gomez-Anson, B. (Beatriz), Lau, K.K. (Kui Kai), Jouvent, E. (Eric), Rothwell, P.M. (Peter), Toyoda, K. (Kazunori), Bae, H.-J. (Hee-Joon), Marti-Fabregas, J. (Joan), Werring, D.J. (David), Harkness, K. (Kirsty), Shaw, L. (Louise), Sword, J. (Jane), Mohd Nor, A. (Azlisham), Sharma, P. (Pankaj), Kelly, D. (Deborah), Harrington, F. (Frances), Randall, M. (Marc), Smith, M. (Matthew), Mahawish, K. (Karim), Elmarim, A. (Abduelbaset), Esisi, B. (Bernard), Cullen, C. (Claire), Nallasivam, A. (Arumug), Price, C. (Christopher), Barry, A. (Adrian), Roffe, C. (Christine), Coyle, J. (John), Hassan, A. (Ahamad), Birns, J. (Jonathan), Cohen, D. (David), Sekaran, L. (Lakshmanan), Parry-Jones, A. (Adrian), Parry, A. (Anthea), Hargroves, D. (David), Proschel, H. (Harald), Datta, P. (Prabel), Darawil, K. (Khaled), Manoj, A. (Aravindakshan), Burn, M. (Mathew), Patterson, C. (Chris), Giallombardo, E. (Elio), Smyth, N. (Nigel), Mansoor, S. (Syed), Anwar, I. (Ijaz), Marsh, R. (Rachel), Ispoglou, S. (Sissi), Chadha, D. (Dinesh), Prabhakaran, M. (Mathuri), Meenakishundaram, S. (Sanjeevikumar), O'Connell, J. (Janice), Scott, J. (Jon), Krishnamurthy, V. (Vinodh), Aghoram, P. (Prasanna), McCormick, M. (Michael), Sprigg, N. (Nikola), O'Mahony, P. (Paul), Cooper, M. (Martin), Choy, L. (Lillian), Wilkinson, P. (Peter), Leach, S. (Simon), Caine, S. (Sarah), Burger, I. (Ilse), Gunathilagan, G. (Gunaratam), Guyler, P. (Paul), Emsley, H. (Hedley), Davis, M. (Michelle), Manawadu, D. (Dulka), Pasco, K. (Kath), Mamun, M. (Maam), Luder, R. (Robert), Sajid, M. (Mahmud), Okwera, J. (James), Warburton, E. (Elizabeth), Saastamoinen, K. (Kari), England, T. (Timothy), Putterill, J. (Janet), Flossman, E. (Enrico), Power, M. (Michael), Dani, K. (Krishna), Mangion, D. (David), Suman, A. (Appu), Corrigan, J. (John), Lawrence, E. (Enas), Vahidassr, D. (Djamil), Shakeshaft, C. (Clare), Brown, M. (Martin), Charidimou, A. (Andreas), Cohen, H. (Hannah), Banerjee, G. (Gargi), Houlden, H. (Henry), White, M. (Mark), Yousry, T. (Tarek), Flossmann, E. (Enrico), Muir, K. (Keith), El-Koussy, M. (Marwan), Gratz, P. (Pascal), Molad, J. (Jeremy), Korczyn, A.D. (A.), Kliper, E. (Efrat), Maeder, P. (Philippe), Gass, A. (Achim), Pachai, C. (Chahin), Bracoub, L. (Luc), Douste-Blazy, M.-Y. (Marie-Yvonne), Fratacci, M.D. (Marie Dominique), Vicaut, E. (Eric), Sato, S. (Shoichiro), Miwa, K. (Kaori), Fujita, K. (Kyohei), Ide, T. (Toshihiro), Ma, H. (Henry), Ly, J. (John), Singhal, S. (Shahoo), Chandra, R. (Ronil), Slater, L.-A. (Lee-Anne), Soufan, C. (Cathy), Moran, C. (Christopher), Traenka, C. (Christopher), Thilemann, S. (Sebastian), Fladt, J. (Joachim), Gensicke, H. (Henrik), Bonati, L. (Leo), Kim, B.J. (Beom Joon), Han, M.-K. (Moon-Ku), Kang, J. (Jihoon), Ko, E. (Eunbin), Yang, M.H. (Mi Hwa), Jang, M.S. (Myung Suk), Murphy, S. (Sean), Carty, F. (Fiona), Akijian, L. (Layan), Thornton, J. (John), Schembri, M. (Mark), Douven, E. (Elles), Delgado-Mederos;, R. (Raquel), Marín, R. (Rebeca), Camps-Renom, P. (Pol), Guisado-Alonso, D. (Daniel), Nuñez, F. (Fidel), Medrano-Martorell, S. (Santiago), Merino, E. (Elisa), Iida, K. (Kotaro), Ikeda, S. (Syuhei), Nishihara, M. (Masashi), Irie, H. (Hiroyuki), Demirelli, D.S. (Derya Selcuk), Medanta, J.M. (Jayesh Modi), Zerna, C. (Charlotte), Hernández, M.V. (Maria Valdés), Armitage, P. (Paul), Heye, A. (Anna), Muñoz Maniega, S. (Susana), Sakka, E. (Eleni), Thrippleton, M. (Michael), Dennis, M.S. (M.), Beigneux, Y. (Ysoline), Silva, M. (Mauro), Venketasubramanian, N. (Narayanaswamy), Ho, S.L. (Shu Leung), Cheung, R.T.F. (Raymond Tak Fai), Chan, K.H. (Koon Ho), Teo, K.C. (Kay Cheong), Hui, E. (Edward), Kwan, J.S.K. (Joseph Shiu Kwong), Chang, R. (Richard), Tse, M.Y. (Man Yu), Hoi, C.P. (Chu Peng), Chan, C.Y. (Chung Yan), Chan, O.L. (Oi Ling), Cheung, R.H.K. (Ryan Hoi Kit), Wong, E.K.M. (Edmund Ka Ming), Leung, K.T. (Kam Tat), Tsang, S.F. (Suk Fung), Ip, H.L. (Hing Lung), Ma, S.H. (Sze Ho), Ma, K. (Karen), Fong, W.C. (Wing Chi), Li, S.H. (Siu Hung), Li, R. (Richard), Ng, P.W. (Ping Wing), Wong, K.K. (Kwok Kui), Liu, W. (Wenyan), Wong, L. (Lawrence), Ramos, L. (Lino), Schryver, E.L.L.M. (Els) de, Jöbsis, J. (Joost), van der Sande, J. (Jaap), Brouwers, P.J. (Paul), Roos, Y.B.W.E.M. (Yvo), Stam, J. (Jan), Bakker, S.L.M. (Stef), Verbiest, H. (Henk), Schoonewille, W. (Wouter), Linn, C. (Cisca), Hertzberger, L., Gemert, M. (Maarten) van, Berntsen, P. (Paul), Hendrikse, J. (Jeroen), Nederkoorn, P.J. (Paul), Mess, W.H. (Werner), Koudstaal, P.J. (Peter), Leff, A. (Alexander), Ward, N. (Nicholas), Nachev, P. (Parashkev), Perry, R. (Richard), Ozkan, H. (Hatice), and Mitchell, J. (John)

Abstract

Background: Cerebral microbleeds are a neuroimaging biomarker of stroke risk. A crucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stroke or transient ischaemic attack in whom the rate of future intracranial haemorrhage is likely to exceed that of recurrent ischaemic stroke when treated with antithrombotic drugs. We therefore aimed to establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient ischaemic attack patients at higher absolute risk of intracranial haemorrhage than ischaemic stroke. Methods: We did a pooled analysis of individual patient data from cohort studies in adults with recent ischaemic stroke or transient ischaemic attack. Cohorts were eligible for inclusion if they prospectively recruited adult participants with ischaemic stroke or

Published
2019
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20. Supplementary Material for: Specificities of Ischemic Stroke Risk Factors in Arab-Speaking Countries

Author

Abboud, H., Sissani, L., Labreuche, J., Arauz, A., Bousser, M.-G., Bryer, A., Chamorro, A., Fisher, M., Ford, I., Fox, K.M., Hennerici, M.G., Lavados, P.M., Massaro, A., Mattle, H.P., Munoz Collazos, M., Rothwell, P.M., Steg, P.G., Vicaut, E., Yamouth, B., Amarenco, P., and Registry, On Behalf Of The OPTIC

Abstract

Background: Stroke is largely preventable, and therefore, a better understanding of risk factors is an essential step in reducing the population stroke rate and resulting disease burden in Arab countries. Summary: We performed 2 separate analyses in 2 similar populations of patients with noncardioembolic ischemic stroke. This first involved 3,635 patients in the Outcomes in Patients with TIA and Cerebrovascular disease (OPTIC) registry (followed for 2 years), with baseline collection of the usual risk factors and 5 socioeconomic variables (unemployment status, residence in rural area, living in fully serviced accommodation, no health-insurance coverage, and low educational level). The second involved patients in the PERFORM trial (n = 19,100 followed up for 2 years), with baseline collection of the usual risk factors and 1 socioeconomic variable (low educational level). The primary outcome was a composite of nonfatal stroke, nonfatal myocardial infarction, or cardiovascular death. Stroke risk factors were more prevalent in patients in Arab countries. The incidence of major cardiovascular events (MACE; age- and gender-adjusted) was higher in Arab countries (OPTIC, 18.5 vs. 13.3%; PERFORM, 18.4 vs. 9.7%; both p ≤ 0.0001). These results remained significant after adjustment on risk factors and were attenuated in OPTIC after further adjustment on socioeconomic variables (hazard ratio 1.24; 95% CI 0.98-1.55; p = 0.07). Key Messages: Patients with ischemic stroke living in Arab countries had a lower mean socioeconomic status, a much higher prevalence of diabetes mellitus, and a higher rate of MACE compared with patients from non-Arab countries. This finding is partly explained by a higher prevalence of risk factors and also by a high prevalence of poverty and low educational level.

Published
2017
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21. Predicting disability after ischemic stroke based on comorbidity index and stroke severity-from the virtual international stroke trials archive-acute collaboration.

Author

Phan T.G., Ma H., Van Ly J., Srikanth V., Lees K.R., Alexandrov A., Bluhmki E., Bornstein N., Claesson L., Davis S.M., Donnan G., Diener H.C., Fisher M., Ginsberg M., Gregson B., Grotta J., Hacke W., Hennerici M.G., Hommel M., Kaste M., Lyden P., Marler J., Muir K., Venketasubramanian N., Sacco R., Shuaib A., Teal P., Wahlgren N.G., Warach S., Weimar C., Chen C., Bath P.M., Clissold B.B., Phan T.G., Ma H., Van Ly J., Srikanth V., Lees K.R., Alexandrov A., Bluhmki E., Bornstein N., Claesson L., Davis S.M., Donnan G., Diener H.C., Fisher M., Ginsberg M., Gregson B., Grotta J., Hacke W., Hennerici M.G., Hommel M., Kaste M., Lyden P., Marler J., Muir K., Venketasubramanian N., Sacco R., Shuaib A., Teal P., Wahlgren N.G., Warach S., Weimar C., Chen C., Bath P.M., and Clissold B.B.

Abstract

Background and aim: The availability and access of hospital administrative data [coding for Charlson comorbidity index (CCI)] in large data form has resulted in a surge of interest in using this information to predict mortality from stroke. The aims of this study were to determine the minimum clinical data set to be included in models for predicting disability after ischemic stroke adjusting for CCI and clinical variables and to evaluate the impact of CCI on prediction of outcome. Method(s): We leverage anonymized clinical trial data in the Virtual International Stroke Trials Archive. This repository contains prospective data on stroke severity and outcome. The inclusion criteria were patients with available stroke severity score such as National Institutes of Health Stroke Scale (NIHSS), imaging data, and outcome disability score such as 90-day Rankin Scale. We calculate CCI based on comorbidity data in this data set. For logistic regression, we used these calibration statistics: Nagelkerke generalised R2 and Brier score; and for discrimination we used: area under the receiver operating characteristics curve (AUC) and integrated discrimination improvement (IDI). The IDI was used to evaluate improvement in disability prediction above baseline model containing age, sex, and CCI. Result(s): The clinical data among 5,206 patients (55% males) were as follows: mean age 69 +/- 13 years, CCI 4.2 +/- 0.8, and median NIHSS of 12 (IQR 8, 17) on admission and 9 (IQR 5, 15) at 24 h. In Model 2, adding admission NIHSS to the baseline model improved AUC from 0.67 (95% CI 0.65-0.68) to 0.79 (95% CI 0.78-0.81). In Model 3, adding 24-h NIHSS to the baseline model resulted in substantial improvement in AUC to 0.90 (95% CI 0.89-0.91) and increased IDI by 0.23 (95% CI 0.22-0.24). Adding the variable recombinant tissue plasminogen activator did not result in a further change in AUC or IDI to this regression model. In Model 3, the variable NIHSS at 24 h explains 87.3% of the variance of

Published
2017

22. Translational Neurosonology

Author

Alonso, A., Hennerici, M.G, Meairs, S., Alonso, A., Hennerici, M.G, and Meairs, S.

Subjects
Nervous system--Diseases--Diagnosis, Nervous system--Ultrasonic imaging
Abstract

Diagnostic ultrasound has become an elementary tool for evaluating cerebrovascular diseases and plays a prominent role in routine clinical practice. Many publications attempt to cover the continuous progress of its diagnostic and even therapeutic applications. However, the impact ultrasound has made in recent years in the fields of animal studies and human research is less well known. This publication provides an overview on exciting current attempts in neurological diseases, ranging from experimental approaches to established imaging modes ready to be incorporated into the routine of daily practice. The first part of the book concentrates on basic principles of neurosonology and focuses on contrast imaging, specific ultrasound contrast agents and safety aspects. The following chapters deal with different vascular ultrasound applications, allowing an optimized characterization of atherosclerotic disease and monitoring of cerebral autoregulation. In addition, the role of parenchymal ultrasound imaging in cerebrovascular diseases and movement disorders is illustrated. The final chapters look at promising new therapeutic approaches implementing ultrasound although they are still no more than experimental. The book can be highly recommended to clinical neurologists with good knowledge in clinical ultrasound who wish to gain a compact and updated insight into the plethora of capabilities of neurosonology in the future.

Published
2015

23. The Hippocampus in Clinical Neuroscience

Author

Szabo, K., Hennerici, M.G, Szabo, K., and Hennerici, M.G

Subjects
Neurosciences, Hippocampus (Brain)
Abstract

The hippocampus is one of the most intriguing structures of the human brain. Damage to this part causes symptoms ranging from transient disorders accompanied by tiny lesions to severely debilitating cognitive disorders with marked tissue loss. This publication provides a predominantly clinical approach to the complex workings of the hippocampus from different perspectives, ranging from basic principles to specific diseases. The first part of the book summarizes current knowledge regarding the structure and physiology of the hippocampus and establishes the ties to basic neuroscience. The second part deals with the function and assessment of the human hippocampus, including memory function, neuropsychological measures, and conventional and functional imaging studies. The chapters of the third part are devoted to the hippocampus in neurological disorders, e.g. the interaction between stress and memory function, and the pathological conditions of common as well as selected rare neurological diseases affecting the hippocampus. The book is highly recommended to clinical neurologists who wish to gain a broad understanding of this complex and fascinating organ in terms of basic principles, modern imaging findings, and specific diseases.

Published
2014

25. Initial blood pressure and adverse cardiac events following acute ischaemic stroke: An individual patient data pooled analysis from the VISTA database

Author

Ishiguchi, Hironori, Huang, Bi, El-Bouri, Wahbi K., Dawson, Jesse, Lip, Gregory Y. H., Abdul-Rahim, Azmil H., Lees (Chair), K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Chen, C., Claesson, L., Curram, J., Davis, S.M., Diener, H-C., Donnan, G., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Roffe, C., Sacco, R., Shuaib, A ., Teal, P., Venketasubramanian, N., Wahlgren, N.G., and Warach, S.

Abstract

Background: Adverse cardiac events following ischaemic stroke (stroke-heart syndrome, SHS) pose a clinical challenge. We investigated the association between initial blood pressure at stroke presentation and the risk of SHS.Methods: We utilised data from the Virtual International Stroke Trials Archive (VISTA). We defined SHS as the incidence of cardiac complications within 30 days post-ischaemic stroke. These presentations included acute coronary syndrome encompassing myocardial injury, heart failure/left ventricular dysfunction, atrial fibrillation/flutter, other arrhythmia/electrocardiogram abnormalities, and cardiorespiratory arrest. Using Cox proportional hazards models, we assessed the risk trajectories for developing SHS and its presentations associated with initial blood pressure. We also explored the risk trajectories for 90-day mortality related to initial blood pressure.Results: From 16,095 patients with acute ischaemic stroke, 14,965 (mean age 69 ± 12 years; 55% male) were analysed. Of these, 1774 (11.8%) developed SHS. The risk of SHS and initial blood pressure showed a U-shaped relationship. The lowest blood pressures (⩽130 mmHg systolic and ⩽55 mmHg diastolic) were associated with the highest risks (adjusted hazard ratio [95%confidence interval]: 1.40 [1.21–1.63]; p< 0.001, 1.71 [1.39–2.10]; p< 0.001, respectively, compared to referential blood pressure range). Cardiorespiratory arrest posed the greatest risk at higher blood pressure levels (2.34 [1.16–4.73]; p= 0.017 for systolic blood pressure >190 mmHg), whereas other presentations exhibited the highest risk at lower pressures. The 90-day mortality risk also followed a U-shaped distribution, with greater risks observed at high blood pressure thresholds.Conclusions: There is a U-shaped relationship between initial blood pressure at ischaemic stroke presentation and the risk of subsequent SHS.

Published
2024
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26. Stroke-heart syndrome and early mortality in patients with acute ischaemic stroke using hierarchical cluster analysis: An individual patient data pooled analysis from the VISTA database

Author

Ishiguchi, Hironori, Huang, Bi, El-Bouri, Wahbi K., Lip, Gregory Y. H., Abdul-Rahim, Azmil H., Lees (Chair), K.R., Alexandrov, A., Bath, P.M., Bluhmki, E., Bornstein, N., Chen, C., Claesson, L., Curram, J., Davis, S.M., Diener, H-C., Donnan, G., Fisher, M., Ginsberg, M., Gregson, B., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Lyden, P., Marler, J., Muir, K., Roffe, C., Sacco, R., Shuaib, A ., Teal, P., Venketasubramanian, N., Wahlgren, N.G., and Warach, S.

Abstract

Background: The patient clinical phenotypes at particularly high risk for early cardiac complications after a recent acute ischaemic stroke (AIS), that is, stroke-heart syndrome (SHS), remain poorly defined. We utilised hierarchical cluster analysis to identify specific phenotypic profiles associated with this risk.Methods: We gathered data on patients with AIS from the Virtual International Stroke Trials Archive, a global repository of clinical trial data. We examined cardiac complications within 30 days post-stroke, including acute coronary syndrome, heart failure, arrhythmias and cardiorespiratory arrest. We employed hierarchical cluster analysis to define distinct phenotypic risk profiles. The incidence/risk of SHS and 90-day mortality were compared across these profiles.Results: We included 12,482 patients (mean age 69 ± 12 years; 55% male), yielding five phenotypes: Profile 1 (‘elderly and AF’), Profile 2 (‘young and smoker’), Profile 3 (‘young’), Profile 4 (‘cardiac comorbidities’) and Profile 5 (‘hypertension with atherosclerotic comorbidities’). Profiles 4 and 1 exhibited the highest risk for SHS (adjusted HR (95% CI): 2.01 (1.70–2.38) and 1.26 (1.05–1.51), respectively, compared to Profile 3), while Profiles 5 and 2 showed moderate risk and Profile 3 had the lowest risk. Although Profiles 1 and 4 were at the highest risk for most SHS presentations, Profile 5 had the highest risk for cardiorespiratory arrest (adjusted HR (95% CI): 2.99 (1.22–7.34)). The 90-day mortality risk was stratified by phenotype, with the highest risk observed in Profiles 5, and 4.Conclusions: Hierarchical cluster analysis effectively identified phenotypes with the highest risk of SHS and early mortality in patients with AIS.

Published
2024
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42. Googling Stroke ASPECTS to determine disability: Exploratory analysis from vista-acute collaboration.

Author

Davis S.M., Chen J., Phan T.G., Lees K.R., Ali M., Alexandrov A., Bath P.M., Bluhmki E., Bornstein N., Claesson L., Beare R., Donnan G., Diener H.C., Fisher M., Ginsberg M., Gregson B., Grotta J., Hacke W., Hennerici M.G., Hommel M., Kaste M., Lyden P., Marler J., Muir K., Sacco R., Shuaib A., Teal P., Wahlgren N.G., Warach S., Weimar C., Davis S.M., Chen J., Phan T.G., Lees K.R., Ali M., Alexandrov A., Bath P.M., Bluhmki E., Bornstein N., Claesson L., Beare R., Donnan G., Diener H.C., Fisher M., Ginsberg M., Gregson B., Grotta J., Hacke W., Hennerici M.G., Hommel M., Kaste M., Lyden P., Marler J., Muir K., Sacco R., Shuaib A., Teal P., Wahlgren N.G., Warach S., and Weimar C.

Abstract

The summed Alberta Stroke Program Early CT Score (ASPECTS) is useful for predicting stroke outcome. The anatomical information in the CT template is rarely used for this purpose because traditional regression methods are not adept at handling collinearity (relatedness) among brain regions. While penalized logistic regression (PLR) can handle collinearity, it does not provide an intuitive understanding of the interaction among network structures in a way that eigenvector method such as PageRank can (used in Google search engine). In this exploratory analysis we applied graph theoretical analysis to explore the relationship among ASPECTS regions with respect to disability outcome. The Virtual International Stroke Trials Archive (VISTA) was searched for patients who had infarct in at least one ASPECTS region (ASPECTS <=9, ASPECTS=10 were excluded), and disability (modified Rankin score/mRS). A directed graph was created from a cross correlation matrix (thresholded at false discovery rate of 0.01) of the ASPECTS regions and demographic variables and disability (mRS>2). We estimated the network-based importance of each ASPECTS region by comparing PageRank and node strength measures. These results were compared with those from PLR. There were 185 subjects, average age 67.5+/- 12.8 years (55% Males). Model 1: demographic variables having no direct connection with disability, the highest PageRank was M2 (0.225, bootstrap 95% CI 0.215-0.347). Model 2: demographic variables having direct connection with disability, the highest PageRank were M2 (0.205, bootstrap 95% CI 0.194-0.367) and M5 (0.125, bootstrap 95% CI 0.096-0.204). Both models illustrate the importance of M2 region to disability. The PageRank method reveals complex interaction among ASPECTS regions with respects to disability. This approach may help to understand the infarcted brain network involved in stroke disability.Copyright © 2015 Beare et al.

Published
2015

43. Googling stroke ASPECTS to determine disability: Exploratory analysis from VISTA-acute collaboration.

Author

Wahlgren N.G., Lyden P., Marler J., Muir K., Sacco R., Shuaib A., Teal P., Warach S., Weimar C., Beare R., Chen J., Phan T.G., Lees K.R., Ali M., Alexandrov A., Bath P.M., Bluhmki E., Bornstein N., Claesson L., Davis S.M., Donnan G., Diener H.C., Fisher M., Ginsberg M., Gregson B., Grotta J., Hacke W., Hennerici M.G., Hommel M., Kaste M., Wahlgren N.G., Lyden P., Marler J., Muir K., Sacco R., Shuaib A., Teal P., Warach S., Weimar C., Beare R., Chen J., Phan T.G., Lees K.R., Ali M., Alexandrov A., Bath P.M., Bluhmki E., Bornstein N., Claesson L., Davis S.M., Donnan G., Diener H.C., Fisher M., Ginsberg M., Gregson B., Grotta J., Hacke W., Hennerici M.G., Hommel M., and Kaste M.

Abstract

The summed Alberta Stroke Program Early CT Score (ASPECTS) is useful for predicting stroke outcome. The anatomical information in the CT template is rarely used for this purpose because traditional regression methods are not adept at handling collinearity (relatedness) among brain regions. While penalized logistic regression (PLR) can handle collinearity, it does not provide an intuitive understanding of the interaction among network structures in a way that eigenvector method such as PageRank can (used in Google search engine). In this exploratory analysis we applied graph theoretical analysis to explore the relationship among ASPECTS regions with respect to disability outcome. The Virtual International Stroke Trials Archive (VISTA) was searched for patients who had infarct in at least one ASPECTS region (ASPECTS 9, ASPECTS=10 were excluded), and disability (modified Rankin score/mRS). A directed graph was created from a cross correlation matrix (thresholded at false discovery rate of 0.01) of the ASPECTS regions and demographic variables and disability (mRS>2). We estimated the network-based importance of each ASPECTS region by comparing PageRank and node strength measures. These results were compared with those from PLR. There were 185 subjects, average age 67.5+/- 12.8 years (55% Males). Model 1: demographic variables having no direct connection with disability, the highest PageRank was M2 (0.225, bootstrap 95% CI 0.215-0.347). Model 2: demographic variables having direct connection with disability, the highest PageRank were M2 (0.205, bootstrap 95% CI 0.194-0.367) and M5 (0.125, bootstrap 95% CI 0.096-0.204). Both models illustrate the importance of M2 region to disability. The PageRank method reveals complex interaction among ASPECTS regions with respects to disability. This approach may help to understand the infarcted brain network involved in stroke disability.Copyright © 2015 Beare et al. This is an open access article distributed under the terms of the Cr

Published
2015

44. Assessment of Perfusion Deficits in Ischemic Stroke Using 3D-GRASE Arterial Spin Labeling Magnetic Resonance Imaging with Multiple Inflow Times

Author

Wolf, M.E., Layer, V., Gregori, J., Griebe, M., Szabo, K., Gass, A., Hennerici, M.G., Günther, M., Kern, R., and Publica

Abstract

BACKGROUND AND PURPOSE: Arterial spin labeling (ASL) MRI provides information on tissue perfusion by consecutive readout of labeled blood captured in arteries or the microvasculature without using contrast agents. METHODS: We used a single-shot 3D acquisition and readout technique for ASL with multiple inflow times (TI) to evaluate hemodynamic compromise and dynamics of arterial blood inflow expressed by the bolus arrival time (BAT). Thirty-six patients with ischemic stroke were examined with a standard multimodal MRI protocol including dynamic susceptibility contrast (DSC) and multi-TI ASL perfusion imaging. Time-to-peak maps were used to classify hemodynamic impairment as either hypo- or hyperperfusion. RESULTS: Overall there was a good agreement of ASL perfusion maps with DSC perfusion imaging on visual analysis. Correlations were found between ASL-BAT/(DSC-)Mean transit time (MTT) (r = .416; P < .01) and ASL-CBF/MTT (r = -.489; P < .01). Using ASL, BAT in ischemic t erritory was delayed by 55% (P = .001) in patients with hypoperfusion (n = 28); CBF was reduced by 39% (P

Published
2013

45. Acute Cerebrovascular Disease in the Young

Author

Rolfs, A., Fazekas, F., Grittner, U., Dichgans, M., Martus, P., Holzhausen, M., Böttcher, T., Heuschmann, P.U., Tatlisumak, T., Tanislav, C., Jungehulsing, G.J., Giese, A.J., Putaala, J., Huber, R., Bodechtel, J., Lichy, C., Enzinger, C., Schmidt, R., Hennerici, M.G., Kapš, Miroslav, Kessler, C., Lackner, K., Paschke, E., Meyer, W., Mascher, H., Riess, O., Kolodny, E., Norrving, B., Demarin, Vida, Tranjec, Zlatko, Bosnar-Puretić, Marijana, Jurašić, Miljenka Jelena, Bašić Kes, Vanja, Budišić, Mislav, and Kopačević, Lenka

Subjects
cause, Fabry Disease, young stroke, imaging, ischemic stroke, cardiovascular diseases
Abstract

Strokes have especially devastating implications if they occur early in life ; however, only limited information exists on the characteristics of acute cerebrovascular disease in young adults. Although risk factors and manifestation of atherosclerosis are commonly associated with stroke in the elderly, recent data suggests different causes for stroke in the young. We initiated the prospective, multinational European study Stroke in Young Fabry Patients (sifap) to characterize a cohort of young stroke patients. Overall, 5023 patients aged 18 to 55 years with the diagnosis of ischemic stroke (3396), hemorrhagic stroke (271), transient ischemic attack (1071) were enrolled in 15 European countries and 47 centers between April 2007 and January 2010 undergoing a detailed, standardized, clinical, laboratory, and radiological protocol. Median age in the overall cohort was 46 years. Definite Fabry disease was diagnosed in 0.5% (95% confidence interval, 0.4%–0.8% ; n=27) of all patients ; and probable Fabry disease in additional 18 patients. Males dominated the study population (2962/59%) whereas females outnumbered men (65.3%) among the youngest patients (18–24 years). About 80.5% of the patients had a first stroke. Silent infarcts on magnetic resonance imaging were seen in 20% of patients with a first-ever stroke, and in 11.4% of patients with transient ischemic attack and no history of a previous cerebrovascular event. The most common causes of ischemic stroke were large artery atherosclerosis (18.6%) and dissection (9.9%). Definite Fabry disease occurs in 0.5% and probable Fabry disease in further 0.4% of young stroke patients. Silent infarcts, white matter intensities, and classical risk factors were highly prevalent, emphasizing the need for new early preventive strategies.

Published
2013

47. Neurological Disorders in Famous Artists - Part 3

Author

Bogousslavsky, J., Hennerici, M.G, Bäzner, H., Bassetti, C., Bogousslavsky, J., Hennerici, M.G, Bäzner, H., and Bassetti, C.

Subjects
Celebrities, Artists--Diseases, Nervous system--Diseases
Abstract

The third part of'Neurological Disorders in Famous Artists'presents painters, musicians, and writers who had to fight against an acute or chronic neurological disease. Sometimes this fight was without success (e.g. Shostakovich, Schumann, Wolf, Pascal), but often a dynamic and paradoxical creativity of the clinical disorder was integrated into their artistic production (e.g. Klee, Ramuz). Occasionally, some even wrote the first report of a medical condition they observed in themselves, like Stendhal who made a detailed report of aphasic transient ischemic attacks before dying of stroke shortly thereafter. In rarer instances, a neurological disease was inaccurately attributed to an artist in order to explain certain features of his work (de Chirico, Schiele). Some chapters in this publication focus on neurological conditions reported in artistic work, including descriptions by Shakespeare and Dumas. Bringing new light to both artists and neurological conditions, this book serves as a valuable and entertaining read for neurologists, psychiatrists, physicians, and anybody interested in arts, literature and music.

Published
2010

48. The Virtual International Stroke Trials Archive

Author

Ali, M., Bath, P.M.W., Curram, J., Davis, S.M., Diener, H.-C., Donnan, G.A., Fisher, M., Gregson, B.A., Grotta, J., Hacke, W., Hennerici, M.G., Hommel, M., Kaste, M., Marler, J.R., Sacco, R.L., Teal, P., Wahlgren, N.-G., Warach, S., Weir, C.J., and Lees, K.R.

Published
2007

49. The Mannheim Declaration of Stroke in Eastern Europe

Author

Bogousslavsky, J., Hennerici, M.G., Kaste M., Csiba, L., Brainin, M., Bereczki, D., Nagy, Z., Czlonkowska, A., Demarin, V., Pascu, J., Skvortsova, V.I., and Ehler, E.

Subjects
stroke, prevention, stroke unit, diagnosis, treatment
Abstract

To avoid death and permanent disability caused by stroke in Eastern Europe, a specialised action plan has been established. This action plan is based on The Helsingborg Declaration and the 10-point action plan to tackle stroke summarised by the European Parliament in June 2003

Published
2004

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