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857 results on '"Donnan, G. A."'

1. 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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2. A systematic review of how emotional self-awareness is defined and measured when comparing autistic and non-autistic groups

Author: Huggins, C.F., Donnan, G., Cameron, I.M., and Williams, J.H.G.
Published: 2020
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3. Pragmatic solutions to reduce the global burden of stroke: a World Stroke Organization–Lancet Neurology Commission

Author: Feigin, V, Owolabi, M, Abd-Allah, F, Akinyemi, R, Bhattacharjee, N, Brainin, M, Cao, J, Caso, V, Dalton, B, Davis, A, Dempsey, R, Duprey, J, Feng, W, Ford, G, Gall, S, Gandhi, D, Good, D, Hachinski, V, Hacke, W, Hankey, G, Ishida, M, Johnson, W, Kim, J, Lavados, P, Lindsay, P, Mahal, A, Martins, S, Murray, C, Nguyen, T, Norrving, B, Olaiya, M, Olalusi, O, Pandian, J, Phan, H, Platz, T, Ranta, A, Rehman, S, Roth, G, Sebastian, I, Smith, A, Suwanwela, N, Sylaja, P, Thapa, R, Thrift, A, Uvere, E, Vollset, S, Yavagal, D, Yaria, J, Abera, S, Ibrahim, N, Liu, L, Ovbiagele, B, Piradov, M, Abanto, C, Addissie, A, Adeleye, A, Adilbekov, Y, Adilbekova, B, Adoukonou, T, Aguiar de Sousa, D, Akhmetzhanova, Z, Akpalu, A, El Alaoui-Faris, M, Ameriso, S, Andonova, S, Arsovska, A, Awoniyi, F, Bakhiet, M, Barboza, M, Basri, H, Bath, P, Bereczki, D, Beretta, S, Berkowitz, A, Bernhardt, J, Berzina, G, Bhavsar, B, Bisharyan, M, Bohara, M, Bovet, P, Budincevic, H, Cadilhac, D, Cerimagic, D, Charway-Felli, A, Chen, C, Chin, J, Christensen, H, Chwojnicki, K, Conforto, A, Correia, M, Mora Cuervo, D, Czlonkowska, A, D'Amelio, M, Danielyan, K, Davis, S, Demarin, V, Demchuk, A, Dichgans, M, Dokova, K, Donnan, G, Duran, J, Ekeng, G, Elkind, M, Endres, M, Fischer, U, Flomin, Y, Gankpe, F, Gavidia, M, Gaye Saavedra, A, Gebreyohanns, M, George, M, Gierlotka, M, Giroud, M, Gnedovskaya, E, Goncalves, I, Gongora-Rivera, F, Gunaratne, P, Hamadeh, R, Hamzat, T, Heldner, M, Ibrahim, E, Ihle-Hansen, H, Jee, S, Jiann-Shing, J, Johnston, S, Jovanovic, D, Jurjans, K, Kalani, R, Kalkonde, Y, Kamenova, S, Karaszewski, B, Kelly, P, Kiechl, S, Kondybayeva, A, Korv, J, Kozera, G, Kravchenko, M, Krespi, Y, Krishnamurthi, R, Kruja, J, Kutluk, K, Langhorne, P, Law, Z, Lebedynets, D, Lee, T, Leung, T, Liebeskind, D, Lopez-Jaramillo, P, Lotufo, P, Machline-Carrion, M, Maia, L, Malojcic, B, Markus, H, Marquez-Romero, J, Medina, M, Medukhanova, S, Mehndiratta, M, Miglane, E, Mihejeva, I, Mikulik, R, Mirrakhimov, E, Mohl, S, Munakomi, S, Murphy, S, Musa, K, Nasreldein, A, Nogueira, R, Nolte, C, Noubiap, J, Novarro-Escudero, N, Ocampo, C, O'Donnell, M, Ogun, Y, Ogunniyi, A, Oraby, M, Orken, D, Ozdemir, A, Ozturk, S, Paccot, M, Pereira, T, Peeters, A, Potpara, T, Proios, H, Rathore, F, Sacco, R, Sahathevan, R, Sandset, E, Renato Santos, I, Saposnik, G, Sarfo, F, Sargento-Freitas, J, Sharma, M, Shaw, L, Sheth, K, Shin, Y, Shobhana, A, Silva, S, Tedim Cruz, V, Thakur, K, Thapa, L, Toni, D, Topcuoglu, M, Torales, J, Towfighi, A, Truelsen, T, Tsiskaridze, A, Tulloch-Reid, M, Useche, J, Vanacker, P, Vassilopoulou, S, Vukorepa, G, Vuletic, V, Wahab, K, Wang, W, Wijeratne, T, Wojtyniak, B, Wolfe, C, Yacouba, M, Yang, J, Yifru, Y, Yock-Corrales, A, Yonemoto, N, Yperzeele, L, Zagozdzon, P, Feigin V. L., Owolabi M. O., Abd-Allah F., Akinyemi R. O., Bhattacharjee N. V., Brainin M., Cao J., Caso V., Dalton B., Davis A., Dempsey R., Duprey J., Feng W., Ford G. A., Gall S., Gandhi D., Good D. C., Hachinski V., Hacke W., Hankey G. J., Ishida M., Johnson W., Kim J., Lavados P., Lindsay P., Mahal A., Martins S., Murray C., Nguyen T. P., Norrving B., Olaiya M. T., Olalusi O. V., Pandian J., Phan H., Platz T., Ranta A., Rehman S., Roth G., Sebastian I. A., Smith A. E., Suwanwela N. C., Sylaja P. N., Thapa R., Thrift A. G., Uvere E., Vollset S. E., Yavagal D., Yaria J., Abera S. F., Akinyemi R., Dempsey R. J., Ibrahim N. M., Liu L., Ovbiagele B., Piradov M., Suwanwela N., Abanto C., Addissie A., Adeleye A. O., Adilbekov Y., Adilbekova B., Adoukonou T. A., Aguiar de Sousa D., Akhmetzhanova Z., Akpalu A., El Alaoui-Faris M., Ameriso S. F., Andonova S., Arsovska A., Awoniyi F. E., Bakhiet M., Barboza M. A., Basri H., Bath P. M., Bereczki D., Beretta S., Berkowitz A. L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M. S., Bohara M., Bovet P., Budincevic H., Cadilhac D. A., Cerimagic D., Charway-Felli A., Chen C., Chin J. H., Christensen H., Chwojnicki K., Conforto A. B., Correia M., Mora Cuervo D. L., Czlonkowska A., D'Amelio M., Danielyan K. E., Davis S., Demarin V., Demchuk A. M., Dichgans M., Dokova K., Donnan G., Duran J. C., Ekeng G., Elkind M. S., Endres M., Fischer U., Flomin Y., Gankpe F., Gavidia M., Gaye Saavedra A., Gebreyohanns M., George M., Gierlotka M., Giroud M., Gnedovskaya E. V., Goncalves I. P., Gongora-Rivera F., Gunaratne P. S., Hamadeh R. R., Hamzat T. -H. K., Heldner M. R., Ibrahim E., Ihle-Hansen H., Jee S., Jiann-Shing J., Johnston S. C., Jovanovic D., Jurjans K., Kalani R., Kalkonde Y., Kamenova S., Karaszewski B., Kelly P., Kiechl S., Kondybayeva A., Korv J., Kozera G., Kravchenko M., Krespi Y., Krishnamurthi R., Kruja J., Kutluk K., Langhorne P., Law Z. K., Lebedynets D., Lee T. -H., Leung T. W., Liebeskind D. S., Lopez-Jaramillo P., Lotufo P. A., Machline-Carrion M. J., Maia L. F., Malojcic B., Markus H. S., Marquez-Romero J. M., Medina M. T., Medukhanova S., Mehndiratta M. M., Miglane E., Mihejeva I., Mikulik R., Mirrakhimov E., Mohl S., Munakomi S., Murphy S., Musa K. I., Nasreldein A., Nogueira R. G., Nolte C. H., Noubiap J. J., Novarro-Escudero N., Ocampo C., O'Donnell M., Ogun Y., Ogunniyi A., Oraby M. I., Orken D. N., Ozdemir A. O., Ozturk S., Paccot M., Pereira T., Peeters A., Potpara T., Proios H., Rathore F. A., Sacco R. L., Sahathevan R., Sandset E. S., Renato Santos I., Saposnik G., Sarfo F. S., Sargento-Freitas J., Sharma M., Shaw L., Sheth K. N., Shin Y. -I., Shobhana A., Silva S. N., Tedim Cruz V., Thakur K., Thapa L. J., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tulloch-Reid M., Useche J. N., Vanacker P., Vassilopoulou S., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wojtyniak B., Wolfe C., Yacouba M. N., Yang J., Yifru Y. M., Yock-Corrales A., Yonemoto N., Yperzeele L., Zagozdzon P., Feigin, V, Owolabi, M, Abd-Allah, F, Akinyemi, R, Bhattacharjee, N, Brainin, M, Cao, J, Caso, V, Dalton, B, Davis, A, Dempsey, R, Duprey, J, Feng, W, Ford, G, Gall, S, Gandhi, D, Good, D, Hachinski, V, Hacke, W, Hankey, G, Ishida, M, Johnson, W, Kim, J, Lavados, P, Lindsay, P, Mahal, A, Martins, S, Murray, C, Nguyen, T, Norrving, B, Olaiya, M, Olalusi, O, Pandian, J, Phan, H, Platz, T, Ranta, A, Rehman, S, Roth, G, Sebastian, I, Smith, A, Suwanwela, N, Sylaja, P, Thapa, R, Thrift, A, Uvere, E, Vollset, S, Yavagal, D, Yaria, J, Abera, S, Ibrahim, N, Liu, L, Ovbiagele, B, Piradov, M, Abanto, C, Addissie, A, Adeleye, A, Adilbekov, Y, Adilbekova, B, Adoukonou, T, Aguiar de Sousa, D, Akhmetzhanova, Z, Akpalu, A, El Alaoui-Faris, M, Ameriso, S, Andonova, S, Arsovska, A, Awoniyi, F, Bakhiet, M, Barboza, M, Basri, H, Bath, P, Bereczki, D, Beretta, S, Berkowitz, A, Bernhardt, J, Berzina, G, Bhavsar, B, Bisharyan, M, Bohara, M, Bovet, P, Budincevic, H, Cadilhac, D, Cerimagic, D, Charway-Felli, A, Chen, C, Chin, J, Christensen, H, Chwojnicki, K, Conforto, A, Correia, M, Mora Cuervo, D, Czlonkowska, A, D'Amelio, M, Danielyan, K, Davis, S, Demarin, V, Demchuk, A, Dichgans, M, Dokova, K, Donnan, G, Duran, J, Ekeng, G, Elkind, M, Endres, M, Fischer, U, Flomin, Y, Gankpe, F, Gavidia, M, Gaye Saavedra, A, Gebreyohanns, M, George, M, Gierlotka, M, Giroud, M, Gnedovskaya, E, Goncalves, I, Gongora-Rivera, F, Gunaratne, P, Hamadeh, R, Hamzat, T, Heldner, M, Ibrahim, E, Ihle-Hansen, H, Jee, S, Jiann-Shing, J, Johnston, S, Jovanovic, D, Jurjans, K, Kalani, R, Kalkonde, Y, Kamenova, S, Karaszewski, B, Kelly, P, Kiechl, S, Kondybayeva, A, Korv, J, Kozera, G, Kravchenko, M, Krespi, Y, Krishnamurthi, R, Kruja, J, Kutluk, K, Langhorne, P, Law, Z, Lebedynets, D, Lee, T, Leung, T, Liebeskind, D, Lopez-Jaramillo, P, Lotufo, P, Machline-Carrion, M, Maia, L, Malojcic, B, Markus, H, Marquez-Romero, J, Medina, M, Medukhanova, S, Mehndiratta, M, Miglane, E, Mihejeva, I, Mikulik, R, Mirrakhimov, E, Mohl, S, Munakomi, S, Murphy, S, Musa, K, Nasreldein, A, Nogueira, R, Nolte, C, Noubiap, J, Novarro-Escudero, N, Ocampo, C, O'Donnell, M, Ogun, Y, Ogunniyi, A, Oraby, M, Orken, D, Ozdemir, A, Ozturk, S, Paccot, M, Pereira, T, Peeters, A, Potpara, T, Proios, H, Rathore, F, Sacco, R, Sahathevan, R, Sandset, E, Renato Santos, I, Saposnik, G, Sarfo, F, Sargento-Freitas, J, Sharma, M, Shaw, L, Sheth, K, Shin, Y, Shobhana, A, Silva, S, Tedim Cruz, V, Thakur, K, Thapa, L, Toni, D, Topcuoglu, M, Torales, J, Towfighi, A, Truelsen, T, Tsiskaridze, A, Tulloch-Reid, M, Useche, J, Vanacker, P, Vassilopoulou, S, Vukorepa, G, Vuletic, V, Wahab, K, Wang, W, Wijeratne, T, Wojtyniak, B, Wolfe, C, Yacouba, M, Yang, J, Yifru, Y, Yock-Corrales, A, Yonemoto, N, Yperzeele, L, Zagozdzon, P, Feigin V. L., Owolabi M. O., Abd-Allah F., Akinyemi R. O., Bhattacharjee N. V., Brainin M., Cao J., Caso V., Dalton B., Davis A., Dempsey R., Duprey J., Feng W., Ford G. A., Gall S., Gandhi D., Good D. C., Hachinski V., Hacke W., Hankey G. J., Ishida M., Johnson W., Kim J., Lavados P., Lindsay P., Mahal A., Martins S., Murray C., Nguyen T. P., Norrving B., Olaiya M. T., Olalusi O. V., Pandian J., Phan H., Platz T., Ranta A., Rehman S., Roth G., Sebastian I. A., Smith A. E., Suwanwela N. C., Sylaja P. N., Thapa R., Thrift A. G., Uvere E., Vollset S. E., Yavagal D., Yaria J., Abera S. F., Akinyemi R., Dempsey R. J., Ibrahim N. M., Liu L., Ovbiagele B., Piradov M., Suwanwela N., Abanto C., Addissie A., Adeleye A. O., Adilbekov Y., Adilbekova B., Adoukonou T. A., Aguiar de Sousa D., Akhmetzhanova Z., Akpalu A., El Alaoui-Faris M., Ameriso S. F., Andonova S., Arsovska A., Awoniyi F. E., Bakhiet M., Barboza M. A., Basri H., Bath P. M., Bereczki D., Beretta S., Berkowitz A. L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M. S., Bohara M., Bovet P., Budincevic H., Cadilhac D. A., Cerimagic D., Charway-Felli A., Chen C., Chin J. H., Christensen H., Chwojnicki K., Conforto A. B., Correia M., Mora Cuervo D. L., Czlonkowska A., D'Amelio M., Danielyan K. E., Davis S., Demarin V., Demchuk A. M., Dichgans M., Dokova K., Donnan G., Duran J. C., Ekeng G., Elkind M. S., Endres M., Fischer U., Flomin Y., Gankpe F., Gavidia M., Gaye Saavedra A., Gebreyohanns M., George M., Gierlotka M., Giroud M., Gnedovskaya E. V., Goncalves I. P., Gongora-Rivera F., Gunaratne P. S., Hamadeh R. R., Hamzat T. -H. K., Heldner M. R., Ibrahim E., Ihle-Hansen H., Jee S., Jiann-Shing J., Johnston S. C., Jovanovic D., Jurjans K., Kalani R., Kalkonde Y., Kamenova S., Karaszewski B., Kelly P., Kiechl S., Kondybayeva A., Korv J., Kozera G., Kravchenko M., Krespi Y., Krishnamurthi R., Kruja J., Kutluk K., Langhorne P., Law Z. K., Lebedynets D., Lee T. -H., Leung T. W., Liebeskind D. S., Lopez-Jaramillo P., Lotufo P. A., Machline-Carrion M. J., Maia L. F., Malojcic B., Markus H. S., Marquez-Romero J. M., Medina M. T., Medukhanova S., Mehndiratta M. M., Miglane E., Mihejeva I., Mikulik R., Mirrakhimov E., Mohl S., Munakomi S., Murphy S., Musa K. I., Nasreldein A., Nogueira R. G., Nolte C. H., Noubiap J. J., Novarro-Escudero N., Ocampo C., O'Donnell M., Ogun Y., Ogunniyi A., Oraby M. I., Orken D. N., Ozdemir A. O., Ozturk S., Paccot M., Pereira T., Peeters A., Potpara T., Proios H., Rathore F. A., Sacco R. L., Sahathevan R., Sandset E. S., Renato Santos I., Saposnik G., Sarfo F. S., Sargento-Freitas J., Sharma M., Shaw L., Sheth K. N., Shin Y. -I., Shobhana A., Silva S. N., Tedim Cruz V., Thakur K., Thapa L. J., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tulloch-Reid M., Useche J. N., Vanacker P., Vassilopoulou S., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wojtyniak B., Wolfe C., Yacouba M. N., Yang J., Yifru Y. M., Yock-Corrales A., Yonemoto N., Yperzeele L., and Zagozdzon P.
Published: 2023

4. Can We Miniaturize CT Technology for a Successful Mobile Stroke Unit Roll-Out?

Author: Cowell, K., primary, Pang, T. Y., additional, Kwok, J. S., additional, McCrowe, C., additional, Langenberg, F., additional, Easton, D., additional, Williams, C., additional, Davis, S. M., additional, Donnan, G. A., additional, De Aizpurua, H., additional, Balabanski, A., additional, Dos Santos, A., additional, and Fox, K., additional
Published: 2023
Full Text: View/download PDF

5. Primary stroke prevention worldwide: translating evidence into action

Author: Owolabi, M, Thrift, A, Mahal, A, Ishida, M, Martins, S, Johnson, W, Pandian, J, Abd-Allah, F, Yaria, J, Phan, H, Roth, G, Gall, S, Beare, R, Phan, T, Mikulik, R, Akinyemi, R, Norrving, B, Brainin, M, Feigin, V, Abanto, C, Abera, S, Addissie, A, Adebayo, O, Adeleye, A, Adilbekov, Y, Adilbekova, B, Adoukonou, T, Aguiar de Sousa, D, Ajagbe, T, Akhmetzhanova, Z, Akpalu, A, Alvarez Ahlgren, J, Ameriso, S, Andonova, S, Awoniyi, F, Bakhiet, M, Barboza, M, Basri, H, Bath, P, Bello, O, Bereczki, D, Beretta, S, Berkowitz, A, Bernabe-Ortiz, A, Bernhardt, J, Berzina, G, Bisharyan, M, Bovet, P, Budincevic, H, Cadilhac, D, Caso, V, Chen, C, Chin, J, Chwojnicki, K, Conforto, A, Cruz, V, D'Amelio, M, Danielyan, K, Davis, S, Demarin, V, Dempsey, R, Dichgans, M, Dokova, K, Donnan, G, Elkind, M, Endres, M, Fischer, U, Gankpe, F, Gaye Saavedra, A, Gil, A, Giroud, M, Gnedovskaya, E, Hachinski, V, Hafdi, M, Hamadeh, R, Hamzat, T, Hankey, G, Heldner, M, Ibrahim, E, Ibrahim, N, Inoue, M, Jee, S, Jeng, J, Kalkonde, Y, Kamenova, S, Karaszewski, B, Kelly, P, Khan, T, Kiechl, S, Kondybayeva, A, Korv, J, Kravchenko, M, Krishnamurthi, R, Kruja, J, Lakkhanaloet, M, Langhorne, P, Lavados, P, Law, Z, Lawal, A, Lazo-Porras, M, Lebedynets, D, Lee, T, Leung, T, Liebeskind, D, Lindsay, P, Lopez-Jaramillo, P, Lotufo, P, Machline-Carrion, J, Makanjuola, A, Markus, H, Marquez-Romero, J, Medina, M, Medukhanova, S, Mehndiratta, M, Merkin, A, Mirrakhimov, E, Mohl, S, Moscoso-Porras, M, Muller-Stierlin, A, Murphy, S, Musa, K, Nasreldein, A, Nogueira, R, Nolte, C, Noubiap, J, Novarro-Escudero, N, Ogun, Y, Oguntoye, R, Oraby, M, Osundina, M, Ovbiagele, B, Orken, D, Ozdemir, A, Ozturk, S, Paccot, M, Phromjai, J, Piradov, P, Platz, T, Potpara, T, Ranta, A, Rathore, F, Richard, E, Sacco, R, Sahathevan, R, Santos Carquin, I, Saposnik, G, Sarfo, F, Sharma, M, Sheth, K, Shobhana, A, Suwanwela, N, Svyato, I, Sylaja, P, Tao, X, Thakur, K, Toni, D, Topcuoglu, M, Torales, J, Towfighi, A, Truelsen, T, Tsiskaridze, A, Tulloch-Reid, M, Useche, N, Vanacker, P, Vassilopoulou, S, Vukorepa, G, Vuletic, V, Wahab, K, Wang, W, Wijeratne, T, Wolfe, C, Yifru, Y, Yock-Corrales, A, Yonemoto, N, Yperzeele, L, Zhang, P, Owolabi M. O., Thrift A. G., Mahal A., Ishida M., Martins S., Johnson W. D., Pandian J., Abd-Allah F., Yaria J., Phan H. T., Roth G., Gall S. L., Beare R., Phan T. G., Mikulik R., Akinyemi R. O., Norrving B., Brainin M., Feigin V. L., Abanto C., Abera S. F., Addissie A., Adebayo O., Adeleye A. O., Adilbekov Y., Adilbekova B., Adoukonou T. A., Aguiar de Sousa D., Ajagbe T., Akhmetzhanova Z., Akpalu A., Alvarez Ahlgren J., Ameriso S., Andonova S., Awoniyi F. E., Bakhiet M., Barboza M., Basri H., Bath P., Bello O., Bereczki D., Beretta S., Berkowitz A., Bernabe-Ortiz A., Bernhardt J., Berzina G., Bisharyan M., Bovet P., Budincevic H., Cadilhac D., Caso V., Chen C., Chin J., Chwojnicki K., Conforto A., Cruz V. T., D'Amelio M., Danielyan K., Davis S., Demarin V., Dempsey R., Dichgans M., Dokova K., Donnan G., Elkind M. S., Endres M., Fischer U., Gankpe F., Gaye Saavedra A., Gil A., Giroud M., Gnedovskaya E., Hachinski V., Hafdi M., Hamadeh R., Hamzat T. K., Hankey G., Heldner M., Ibrahim E. A., Ibrahim N. M., Inoue M., Jee S., Jeng J. -S., Kalkonde Y., Kamenova S., Karaszewski B., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R. V., Kruja J., Lakkhanaloet M., Langhorne P., Lavados P. M., Law Z. K., Lawal A., Lazo-Porras M., Lebedynets D., Lee T. -H., Leung T., Liebeskind D. S., Lindsay P., Lopez-Jaramillo P., Lotufo P. A., Machline-Carrion J., Makanjuola A., Markus H. S., Marquez-Romero J. M., Medina M., Medukhanova S., Mehndiratta M. M., Merkin A., Mirrakhimov E., Mohl S., Moscoso-Porras M., Muller-Stierlin A., Murphy S., Musa K. I., Nasreldein A., Nogueira R. G., Nolte C., Noubiap J. J., Novarro-Escudero N., Ogun Y., Oguntoye R. A., Oraby M. I., Osundina M., Ovbiagele B., Orken D. N., Ozdemir A. O., Ozturk S., Paccot M., Phromjai J., Piradov P., Platz T., Potpara T., Ranta A., Rathore F., Richard E., Sacco R. L., Sahathevan R., Santos Carquin I., Saposnik G., Sarfo F. S., Sharma M., Sheth K., Shobhana A., Suwanwela N., Svyato I., Sylaja P. N., Tao X., Thakur K. T., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T. C., Tsiskaridze A., Tulloch-Reid M., Useche N., Vanacker P., Vassilopoulou S., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wolfe C., Yifru Y. M., Yock-Corrales A., Yonemoto N., Yperzeele L., Zhang P., Owolabi, M, Thrift, A, Mahal, A, Ishida, M, Martins, S, Johnson, W, Pandian, J, Abd-Allah, F, Yaria, J, Phan, H, Roth, G, Gall, S, Beare, R, Phan, T, Mikulik, R, Akinyemi, R, Norrving, B, Brainin, M, Feigin, V, Abanto, C, Abera, S, Addissie, A, Adebayo, O, Adeleye, A, Adilbekov, Y, Adilbekova, B, Adoukonou, T, Aguiar de Sousa, D, Ajagbe, T, Akhmetzhanova, Z, Akpalu, A, Alvarez Ahlgren, J, Ameriso, S, Andonova, S, Awoniyi, F, Bakhiet, M, Barboza, M, Basri, H, Bath, P, Bello, O, Bereczki, D, Beretta, S, Berkowitz, A, Bernabe-Ortiz, A, Bernhardt, J, Berzina, G, Bisharyan, M, Bovet, P, Budincevic, H, Cadilhac, D, Caso, V, Chen, C, Chin, J, Chwojnicki, K, Conforto, A, Cruz, V, D'Amelio, M, Danielyan, K, Davis, S, Demarin, V, Dempsey, R, Dichgans, M, Dokova, K, Donnan, G, Elkind, M, Endres, M, Fischer, U, Gankpe, F, Gaye Saavedra, A, Gil, A, Giroud, M, Gnedovskaya, E, Hachinski, V, Hafdi, M, Hamadeh, R, Hamzat, T, Hankey, G, Heldner, M, Ibrahim, E, Ibrahim, N, Inoue, M, Jee, S, Jeng, J, Kalkonde, Y, Kamenova, S, Karaszewski, B, Kelly, P, Khan, T, Kiechl, S, Kondybayeva, A, Korv, J, Kravchenko, M, Krishnamurthi, R, Kruja, J, Lakkhanaloet, M, Langhorne, P, Lavados, P, Law, Z, Lawal, A, Lazo-Porras, M, Lebedynets, D, Lee, T, Leung, T, Liebeskind, D, Lindsay, P, Lopez-Jaramillo, P, Lotufo, P, Machline-Carrion, J, Makanjuola, A, Markus, H, Marquez-Romero, J, Medina, M, Medukhanova, S, Mehndiratta, M, Merkin, A, Mirrakhimov, E, Mohl, S, Moscoso-Porras, M, Muller-Stierlin, A, Murphy, S, Musa, K, Nasreldein, A, Nogueira, R, Nolte, C, Noubiap, J, Novarro-Escudero, N, Ogun, Y, Oguntoye, R, Oraby, M, Osundina, M, Ovbiagele, B, Orken, D, Ozdemir, A, Ozturk, S, Paccot, M, Phromjai, J, Piradov, P, Platz, T, Potpara, T, Ranta, A, Rathore, F, Richard, E, Sacco, R, Sahathevan, R, Santos Carquin, I, Saposnik, G, Sarfo, F, Sharma, M, Sheth, K, Shobhana, A, Suwanwela, N, Svyato, I, Sylaja, P, Tao, X, Thakur, K, Toni, D, Topcuoglu, M, Torales, J, Towfighi, A, Truelsen, T, Tsiskaridze, A, Tulloch-Reid, M, Useche, N, Vanacker, P, Vassilopoulou, S, Vukorepa, G, Vuletic, V, Wahab, K, Wang, W, Wijeratne, T, Wolfe, C, Yifru, Y, Yock-Corrales, A, Yonemoto, N, Yperzeele, L, Zhang, P, Owolabi M. O., Thrift A. G., Mahal A., Ishida M., Martins S., Johnson W. D., Pandian J., Abd-Allah F., Yaria J., Phan H. T., Roth G., Gall S. L., Beare R., Phan T. G., Mikulik R., Akinyemi R. O., Norrving B., Brainin M., Feigin V. L., Abanto C., Abera S. F., Addissie A., Adebayo O., Adeleye A. O., Adilbekov Y., Adilbekova B., Adoukonou T. A., Aguiar de Sousa D., Ajagbe T., Akhmetzhanova Z., Akpalu A., Alvarez Ahlgren J., Ameriso S., Andonova S., Awoniyi F. E., Bakhiet M., Barboza M., Basri H., Bath P., Bello O., Bereczki D., Beretta S., Berkowitz A., Bernabe-Ortiz A., Bernhardt J., Berzina G., Bisharyan M., Bovet P., Budincevic H., Cadilhac D., Caso V., Chen C., Chin J., Chwojnicki K., Conforto A., Cruz V. T., D'Amelio M., Danielyan K., Davis S., Demarin V., Dempsey R., Dichgans M., Dokova K., Donnan G., Elkind M. S., Endres M., Fischer U., Gankpe F., Gaye Saavedra A., Gil A., Giroud M., Gnedovskaya E., Hachinski V., Hafdi M., Hamadeh R., Hamzat T. K., Hankey G., Heldner M., Ibrahim E. A., Ibrahim N. M., Inoue M., Jee S., Jeng J. -S., Kalkonde Y., Kamenova S., Karaszewski B., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R. V., Kruja J., Lakkhanaloet M., Langhorne P., Lavados P. M., Law Z. K., Lawal A., Lazo-Porras M., Lebedynets D., Lee T. -H., Leung T., Liebeskind D. S., Lindsay P., Lopez-Jaramillo P., Lotufo P. A., Machline-Carrion J., Makanjuola A., Markus H. S., Marquez-Romero J. M., Medina M., Medukhanova S., Mehndiratta M. M., Merkin A., Mirrakhimov E., Mohl S., Moscoso-Porras M., Muller-Stierlin A., Murphy S., Musa K. I., Nasreldein A., Nogueira R. G., Nolte C., Noubiap J. J., Novarro-Escudero N., Ogun Y., Oguntoye R. A., Oraby M. I., Osundina M., Ovbiagele B., Orken D. N., Ozdemir A. O., Ozturk S., Paccot M., Phromjai J., Piradov P., Platz T., Potpara T., Ranta A., Rathore F., Richard E., Sacco R. L., Sahathevan R., Santos Carquin I., Saposnik G., Sarfo F. S., Sharma M., Sheth K., Shobhana A., Suwanwela N., Svyato I., Sylaja P. N., Tao X., Thakur K. T., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T. C., Tsiskaridze A., Tulloch-Reid M., Useche N., Vanacker P., Vassilopoulou S., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wolfe C., Yifru Y. M., Yock-Corrales A., Yonemoto N., Yperzeele L., and Zhang P.
Abstract: Stroke is the second leading cause of death and the third leading cause of disability worldwide and its burden is increasing rapidly in low-income and middle-income countries, many of which are unable to face the challenges it imposes. In this Health Policy paper on primary stroke prevention, we provide an overview of the current situation regarding primary prevention services, estimate the cost of stroke and stroke prevention, and identify deficiencies in existing guidelines and gaps in primary prevention. We also offer a set of pragmatic solutions for implementation of primary stroke prevention, with an emphasis on the role of governments and population-wide strategies, including task-shifting and sharing and health system re-engineering. Implementation of primary stroke prevention involves patients, health professionals, funders, policy makers, implementation partners, and the entire population along the life course.
Published: 2022

6. The state of stroke services across the globe: Report of World Stroke Organization–World Health Organization surveys

Author: Owolabi, M, Thrift, A, Martins, S, Johnson, W, Pandian, J, Abd-Allah, F, Varghese, C, Mahal, A, Yaria, J, Phan, H, Roth, G, Gall, S, Beare, R, Phan, T, Mikulik, R, Norrving, B, Feigin, V, on behalf of the Stroke Experts Collaboration, G, Abera, S, Addissie, A, Adeleye, A, Adilbekov, Y, Adilbekova, B, Adoukonou, T, Aguiar, D, Akhmetzhanova, Z, Akinyemi, R, Akpalu, A, Ameriso, S, Andonova, S, Abanto, C, Awoniyi, F, Bakhiet, M, Basri, H, Bath, P, Bereczki, D, Beretta, S, Berkowitz, A, Bernhardt, J, Berzina, G, Bhavsar, B, Bisharyan, M, Bovet, P, Brainin, M, Budincevic, H, Cabral, N, Cadilhac, D, Caso, V, Chen, C, Chin, J, Christensen, H, Chwojnicki, K, Conforto, A, Cruz, V, D'Amelio, M, Danielyan, K, Davis, S, Demarin, V, Dempsey, R, Dichgans, M, Dokova, Donnan, G, Duran, J, Elizondo, M, Elkind, M, Endres, M, Etedal, I, Faris, M, Fischer, U, Gankpe, F, Gavidia, M, Gaye-Saavedra, A, Giroud, M, Gongora-Rivera, F, Hachinski, V, Hacke, W, Hamadeh, R, Hamzat, T, Hankey, G, Heldner, M, Ibrahim, N, Inoue, M, Jee, S, Jiann-Shing, J, Johnston, S, Kalkonde, Y, Kamenova, S, Kelly, P, Khan, T, Kiechl, S, Kondybayeva, A, Korv, J, Kravchenko, M, Krishnamurthi, R, Langhorne, P, Kang, Z, Kruja, J, Lavados, P, Lebedynets, D, Leung, T, Liebeskind, D, Lindsay, P, Liu, L, Lopez-Jaramillo, P, Lotufo, P, Machline-Carrion, J, Markus, H, Marquez-Romero, J, Medina, M, Medukhanova, S, Mehndiratta, M, Mirrakhimov, E, Mohl, S, Murphy, S, Musa, K, Nasreldein, A, Nogueira, R, Nolte, C, Noubiap, J, Novarro-Escudero, N, O'Donnell, M, Ogun, V, Oraby, M, Ovbiagele, B, Orken, D, Ozdemir, A, Ozturk, S, Paccot, M, Peters, A, Piradov, M, Platz, T, Potpara, T, Ranta, A, Rathore, F, Sacco, R, Sahathevan, R, Santos, I, Saposnik, G, Sarfo, F, Sharma, M, Sheth, K, Shobhana, A, Silva, S, Suwanwela, N, Sylaja, P, Thakur, K, Toni, D, Topcuoglu, M, Torales, J, Towfighi, A, Truelsen, T, Tsiskaridze, A, Tsong-Hai, L, Tulloch-Reid, M, Useche, J, Vanacker, P, Vassilopoulou, S, Venketasubramanian, N, Vukorepa, G, Vuletic, V, Wahab, K, Wang, W, Wijeratne, T, Wolfe, C, Yifru, M, Yock-Corrales, A, Yonemoto, N, Yperzeele, L, Owolabi M. O., Thrift A. G., Martins S., Johnson W., Pandian J., Abd-Allah F., Varghese C., Mahal A., Yaria J., Phan H. T., Roth G., Gall S. L., Beare R., Phan T. G., Mikulik R., Norrving B., Feigin V. L., on behalf of the Stroke Experts Collaboration Group, Abera S. F., Addissie A., Adeleye A., Adilbekov Y., Adilbekova B., Adoukonou T. A., Aguiar D. S. D., Akhmetzhanova Z., Akinyemi R. O., Akpalu A., Ameriso S. F., Andonova S., Abanto C., Awoniyi F. E., Bakhiet M., Basri H., Bath P. M., Bereczki D., Beretta S., Berkowitz A. L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M. S., Bovet P., Brainin M., Budincevic H., Cabral N. L., Cadilhac D. A., Caso V., Chen C., Chin J. H., Christensen H., Chwojnicki K., Conforto A. B., Cruz V. T., D'Amelio M., Danielyan K. E., Davis S., Demarin V., Dempsey R. J., Dichgans M., Donnan G., Duran J., Elizondo M. A. B., Elkind M. S., Endres M., Etedal I., Faris M. E., Fischer U., Gankpe F., Gavidia M., Gaye-Saavedra A., Giroud M., Gongora-Rivera F., Hachinski V., Hacke W., Hamadeh R. R., Hamzat T. K., Hankey G. J., Heldner M. R., Ibrahim N. M., Inoue M., Jee S., Jiann-Shing J., Johnston S., Kalkonde Y., Kamenova S., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R., Langhorne P., Kang Z. L., Kruja J., Lavados P. M., Lebedynets D., Leung T. W., Liebeskind D. S., Lindsay P., Liu L., Lopez-Jaramillo P., Lotufo P. A., Machline-Carrion J. M., Markus H. S., Marquez-Romero J. M., Medina M. T., Medukhanova S., Mehndiratta M. M., Mirrakhimov E., Mohl S., Murphy S., Musa K. I., Nasreldein A., Nogueira R., Nolte C. H., Noubiap J. J., Novarro-Escudero N., O'Donnell M., Ogun V., Oraby M. I., Ovbiagele B., Orken D. N., Ozdemir A. O., Ozturk S., Paccot M., Peters A., Piradov M., Platz T., Potpara T., Ranta A., Rathore F. A., Sacco R. L., Sahathevan R., Santos I. C., Saposnik G., Sarfo F. S., Sharma M., Sheth K. N., Shobhana A., Silva S. N., Suwanwela N., Sylaja P. N., Thakur K., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tsong-Hai L., Tulloch-Reid M., Useche J. N., Vanacker P., Vassilopoulou S., Venketasubramanian N., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wolfe C., Yifru M. Y., Yock-Corrales A., Yonemoto N., Yperzeele L., Owolabi, M, Thrift, A, Martins, S, Johnson, W, Pandian, J, Abd-Allah, F, Varghese, C, Mahal, A, Yaria, J, Phan, H, Roth, G, Gall, S, Beare, R, Phan, T, Mikulik, R, Norrving, B, Feigin, V, on behalf of the Stroke Experts Collaboration, G, Abera, S, Addissie, A, Adeleye, A, Adilbekov, Y, Adilbekova, B, Adoukonou, T, Aguiar, D, Akhmetzhanova, Z, Akinyemi, R, Akpalu, A, Ameriso, S, Andonova, S, Abanto, C, Awoniyi, F, Bakhiet, M, Basri, H, Bath, P, Bereczki, D, Beretta, S, Berkowitz, A, Bernhardt, J, Berzina, G, Bhavsar, B, Bisharyan, M, Bovet, P, Brainin, M, Budincevic, H, Cabral, N, Cadilhac, D, Caso, V, Chen, C, Chin, J, Christensen, H, Chwojnicki, K, Conforto, A, Cruz, V, D'Amelio, M, Danielyan, K, Davis, S, Demarin, V, Dempsey, R, Dichgans, M, Dokova, Donnan, G, Duran, J, Elizondo, M, Elkind, M, Endres, M, Etedal, I, Faris, M, Fischer, U, Gankpe, F, Gavidia, M, Gaye-Saavedra, A, Giroud, M, Gongora-Rivera, F, Hachinski, V, Hacke, W, Hamadeh, R, Hamzat, T, Hankey, G, Heldner, M, Ibrahim, N, Inoue, M, Jee, S, Jiann-Shing, J, Johnston, S, Kalkonde, Y, Kamenova, S, Kelly, P, Khan, T, Kiechl, S, Kondybayeva, A, Korv, J, Kravchenko, M, Krishnamurthi, R, Langhorne, P, Kang, Z, Kruja, J, Lavados, P, Lebedynets, D, Leung, T, Liebeskind, D, Lindsay, P, Liu, L, Lopez-Jaramillo, P, Lotufo, P, Machline-Carrion, J, Markus, H, Marquez-Romero, J, Medina, M, Medukhanova, S, Mehndiratta, M, Mirrakhimov, E, Mohl, S, Murphy, S, Musa, K, Nasreldein, A, Nogueira, R, Nolte, C, Noubiap, J, Novarro-Escudero, N, O'Donnell, M, Ogun, V, Oraby, M, Ovbiagele, B, Orken, D, Ozdemir, A, Ozturk, S, Paccot, M, Peters, A, Piradov, M, Platz, T, Potpara, T, Ranta, A, Rathore, F, Sacco, R, Sahathevan, R, Santos, I, Saposnik, G, Sarfo, F, Sharma, M, Sheth, K, Shobhana, A, Silva, S, Suwanwela, N, Sylaja, P, Thakur, K, Toni, D, Topcuoglu, M, Torales, J, Towfighi, A, Truelsen, T, Tsiskaridze, A, Tsong-Hai, L, Tulloch-Reid, M, Useche, J, Vanacker, P, Vassilopoulou, S, Venketasubramanian, N, Vukorepa, G, Vuletic, V, Wahab, K, Wang, W, Wijeratne, T, Wolfe, C, Yifru, M, Yock-Corrales, A, Yonemoto, N, Yperzeele, L, Owolabi M. O., Thrift A. G., Martins S., Johnson W., Pandian J., Abd-Allah F., Varghese C., Mahal A., Yaria J., Phan H. T., Roth G., Gall S. L., Beare R., Phan T. G., Mikulik R., Norrving B., Feigin V. L., on behalf of the Stroke Experts Collaboration Group, Abera S. F., Addissie A., Adeleye A., Adilbekov Y., Adilbekova B., Adoukonou T. A., Aguiar D. S. D., Akhmetzhanova Z., Akinyemi R. O., Akpalu A., Ameriso S. F., Andonova S., Abanto C., Awoniyi F. E., Bakhiet M., Basri H., Bath P. M., Bereczki D., Beretta S., Berkowitz A. L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M. S., Bovet P., Brainin M., Budincevic H., Cabral N. L., Cadilhac D. A., Caso V., Chen C., Chin J. H., Christensen H., Chwojnicki K., Conforto A. B., Cruz V. T., D'Amelio M., Danielyan K. E., Davis S., Demarin V., Dempsey R. J., Dichgans M., Donnan G., Duran J., Elizondo M. A. B., Elkind M. S., Endres M., Etedal I., Faris M. E., Fischer U., Gankpe F., Gavidia M., Gaye-Saavedra A., Giroud M., Gongora-Rivera F., Hachinski V., Hacke W., Hamadeh R. R., Hamzat T. K., Hankey G. J., Heldner M. R., Ibrahim N. M., Inoue M., Jee S., Jiann-Shing J., Johnston S., Kalkonde Y., Kamenova S., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R., Langhorne P., Kang Z. L., Kruja J., Lavados P. M., Lebedynets D., Leung T. W., Liebeskind D. S., Lindsay P., Liu L., Lopez-Jaramillo P., Lotufo P. A., Machline-Carrion J. M., Markus H. S., Marquez-Romero J. M., Medina M. T., Medukhanova S., Mehndiratta M. M., Mirrakhimov E., Mohl S., Murphy S., Musa K. I., Nasreldein A., Nogueira R., Nolte C. H., Noubiap J. J., Novarro-Escudero N., O'Donnell M., Ogun V., Oraby M. I., Ovbiagele B., Orken D. N., Ozdemir A. O., Ozturk S., Paccot M., Peters A., Piradov M., Platz T., Potpara T., Ranta A., Rathore F. A., Sacco R. L., Sahathevan R., Santos I. C., Saposnik G., Sarfo F. S., Sharma M., Sheth K. N., Shobhana A., Silva S. N., Suwanwela N., Sylaja P. N., Thakur K., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tsong-Hai L., Tulloch-Reid M., Useche J. N., Vanacker P., Vassilopoulou S., Venketasubramanian N., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wolfe C., Yifru M. Y., Yock-Corrales A., Yonemoto N., and Yperzeele L.
Abstract: Background: Improving stroke services is critical for reducing the global stroke burden. The World Stroke Organization–World Health Organization–Lancet Neurology Commission on Stroke conducted a survey of the status of stroke services in low and middle-income countries (LMICs) compared to high-income countries. Methods: Using a validated World Stroke Organization comprehensive questionnaire, we collected and compared data on stroke services along four pillars of the stroke quadrangle (surveillance, prevention, acute stroke, and rehabilitation) in 84 countries across World Health Organization regions and economic strata. The World Health Organization also conducted a survey of non-communicable diseases in 194 countries in 2019. Results: Fewer surveillance activities (including presence of registries, presence of recent risk factors surveys, and participation in research) were reported in low-income countries than high-income countries. The overall global score for prevention was 40.2%. Stroke units were present in 91% of high-income countries in contrast to 18% of low-income countries (p < 0.001). Acute stroke treatments were offered in ∼ 60% of high-income countries compared to 26% of low-income countries (p = 0.009). Compared to high-income countries, LMICs provided less rehabilitation services including in-patient rehabilitation, home assessment, community rehabilitation, education, early hospital discharge program, and presence of rehabilitation protocol. Conclusions: There is an urgent need to improve access to stroke units and services globally especially in LMICs. Countries with less stroke services can adapt strategies from those with better services. This could include establishment of a framework for regular monitoring of stroke burden and services, implementation of integrated prevention activities and essential acute stroke care services, and provision of interdisciplinary care for stroke rehabilitation.
Published: 2021

7. Ten years of cerebral venous thrombosis: male gender and myeloproliferative neoplasm is associated with thrombotic recurrence in unprovoked events

Author: Lim, H. Y., Ng, C., Donnan, G., Nandurkar, H., and Ho, Prahlad
Published: 2016
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8. Primary stroke prevention worldwide: translating evidence into action.

Author: Owolabi M.O., Thrift A.G., Mahal A., Ishida M., Martins S., Johnson W.D., Pandian J., Abd-Allah F., Yaria J., Phan H.T., Roth G., Gall S.L., Beare R., Phan T.G., Mikulik R., Akinyemi R.O., Norrving B., Brainin M., Feigin V.L., Abanto C., Abera S.F., Addissie A., Adebayo O., Adeleye A.O., Adilbekov Y., Adilbekova B., Adoukonou T.A., Aguiar de Sousa D., Ajagbe T., Akhmetzhanova Z., Akpalu A., Alvarez Ahlgren J., Ameriso S., Andonova S., Awoniyi F.E., Bakhiet M., Barboza M., Basri H., Bath P., Bello O., Bereczki D., Beretta S., Berkowitz A., Bernabe-Ortiz A., Bernhardt J., Berzina G., Bisharyan M., Bovet P., Budincevic H., Cadilhac D., Caso V., Chen C., Chin J., Chwojnicki K., Conforto A., Cruz V.T., D'Amelio M., Danielyan K., Davis S., Demarin V., Dempsey R., Dichgans M., Dokova K., Donnan G., Elkind M.S., Endres M., Fischer U., Gankpe F., Gaye Saavedra A., Gil A., Giroud M., Gnedovskaya E., Hachinski V., Hafdi M., Hamadeh R., Hamzat T.K., Hankey G., Heldner M., Ibrahim E.A., Ibrahim N.M., Inoue M., Jee S., Jeng J.-S., Kalkonde Y., Kamenova S., Karaszewski B., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R.V., Kruja J., Lakkhanaloet M., Langhorne P., Lavados P.M., Law Z.K., Lawal A., Lazo-Porras M., Lebedynets D., Lee T.-H., Leung T., Liebeskind D.S., Lindsay P., Lopez-Jaramillo P., Lotufo P.A., Machline-Carrion J., Makanjuola A., Markus H.S., Marquez-Romero J.M., Medina M., Medukhanova S., Mehndiratta M.M., Merkin A., Mirrakhimov E., Mohl S., Moscoso-Porras M., Muller-Stierlin A., Murphy S., Musa K.I., Nasreldein A., Nogueira R.G., Nolte C., Noubiap J.J., Novarro-Escudero N., Ogun Y., Oguntoye R.A., Oraby M.I., Osundina M., Ovbiagele B., Orken D.N., Ozdemir A.O., Ozturk S., Paccot M., Phromjai J., Piradov P., Platz T., Potpara T., Ranta A., Rathore F., Richard E., Sacco R.L., Sahathevan R., Santos Carquin I., Saposnik G., Sarfo F.S., Sharma M., Sheth K., Shobhana A., Suwanwela N., Svyato I., Sylaja P.N., Tao X., Thakur K.T., Toni D., Topcuoglu M.A., Torales J., Towfighi A., Truelsen T.C., Tsiskaridze A., Tulloch-Reid M., Useche N., Vanacker P., Vassilopoulou S., Vukorepa G., Vuletic V., Wahab K.W., Wang W., Wijeratne T., Wolfe C., Yifru Y.M., Yock-Corrales A., Yonemoto N., Yperzeele L., Zhang P., Owolabi M.O., Thrift A.G., Mahal A., Ishida M., Martins S., Johnson W.D., Pandian J., Abd-Allah F., Yaria J., Phan H.T., Roth G., Gall S.L., Beare R., Phan T.G., Mikulik R., Akinyemi R.O., Norrving B., Brainin M., Feigin V.L., Abanto C., Abera S.F., Addissie A., Adebayo O., Adeleye A.O., Adilbekov Y., Adilbekova B., Adoukonou T.A., Aguiar de Sousa D., Ajagbe T., Akhmetzhanova Z., Akpalu A., Alvarez Ahlgren J., Ameriso S., Andonova S., Awoniyi F.E., Bakhiet M., Barboza M., Basri H., Bath P., Bello O., Bereczki D., Beretta S., Berkowitz A., Bernabe-Ortiz A., Bernhardt J., Berzina G., Bisharyan M., Bovet P., Budincevic H., Cadilhac D., Caso V., Chen C., Chin J., Chwojnicki K., Conforto A., Cruz V.T., D'Amelio M., Danielyan K., Davis S., Demarin V., Dempsey R., Dichgans M., Dokova K., Donnan G., Elkind M.S., Endres M., Fischer U., Gankpe F., Gaye Saavedra A., Gil A., Giroud M., Gnedovskaya E., Hachinski V., Hafdi M., Hamadeh R., Hamzat T.K., Hankey G., Heldner M., Ibrahim E.A., Ibrahim N.M., Inoue M., Jee S., Jeng J.-S., Kalkonde Y., Kamenova S., Karaszewski B., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R.V., Kruja J., Lakkhanaloet M., Langhorne P., Lavados P.M., Law Z.K., Lawal A., Lazo-Porras M., Lebedynets D., Lee T.-H., Leung T., Liebeskind D.S., Lindsay P., Lopez-Jaramillo P., Lotufo P.A., Machline-Carrion J., Makanjuola A., Markus H.S., Marquez-Romero J.M., Medina M., Medukhanova S., Mehndiratta M.M., Merkin A., Mirrakhimov E., Mohl S., Moscoso-Porras M., Muller-Stierlin A., Murphy S., Musa K.I., Nasreldein A., Nogueira R.G., Nolte C., Noubiap J.J., Novarro-Escudero N., Ogun Y., Oguntoye R.A., Oraby M.I., Osundina M., Ovbiagele B., Orken D.N., Ozdemir A.O., Ozturk S., Paccot M., Phromjai J., Piradov P., Platz T., Potpara T., Ranta A., Rathore F., Richard E., Sacco R.L., Sahathevan R., Santos Carquin I., Saposnik G., Sarfo F.S., Sharma M., Sheth K., Shobhana A., Suwanwela N., Svyato I., Sylaja P.N., Tao X., Thakur K.T., Toni D., Topcuoglu M.A., Torales J., Towfighi A., Truelsen T.C., Tsiskaridze A., Tulloch-Reid M., Useche N., Vanacker P., Vassilopoulou S., Vukorepa G., Vuletic V., Wahab K.W., Wang W., Wijeratne T., Wolfe C., Yifru Y.M., Yock-Corrales A., Yonemoto N., Yperzeele L., and Zhang P.
Abstract: Stroke is the second leading cause of death and the third leading cause of disability worldwide and its burden is increasing rapidly in low-income and middle-income countries, many of which are unable to face the challenges it imposes. In this Health Policy paper on primary stroke prevention, we provide an overview of the current situation regarding primary prevention services, estimate the cost of stroke and stroke prevention, and identify deficiencies in existing guidelines and gaps in primary prevention. We also offer a set of pragmatic solutions for implementation of primary stroke prevention, with an emphasis on the role of governments and population-wide strategies, including task-shifting and sharing and health system re-engineering. Implementation of primary stroke prevention involves patients, health professionals, funders, policy makers, implementation partners, and the entire population along the life course.Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Published: 2022

9. The Melbourne mobile stroke unit tenecteplase versusalteplase for stroke thrombolysis evaluation trial in the ambulance (taste-a).

Author: Bivard A., Zhao H., Churilov L., Campbell B., Coote S., Yassi N., Yan B., Valente M., Sharobeam A., Balabanski A., Santos A.D., Ng J.L., Ng F., Yogendrakumar V., Langenberg F., Easton D., Warwick A., Mackey E., Stephenson M., Smith K., Anderson D., Choi P., Thijs V., Ma H., Cloud G., Wijeratene T., Bladin C., Chen C., Olenko L., Italiano D., Davis S., Donnan G., Parsons M., Bivard A., Zhao H., Churilov L., Campbell B., Coote S., Yassi N., Yan B., Valente M., Sharobeam A., Balabanski A., Santos A.D., Ng J.L., Ng F., Yogendrakumar V., Langenberg F., Easton D., Warwick A., Mackey E., Stephenson M., Smith K., Anderson D., Choi P., Thijs V., Ma H., Cloud G., Wijeratene T., Bladin C., Chen C., Olenko L., Italiano D., Davis S., Donnan G., and Parsons M.
Abstract: Background and Aims: Mobile Stroke Units (MSU) have been shown to reduce time to treatment and improve patient outcomes.There is an opportunity to improve the efficacy of stroke reperfusion treatment provided by MSUs. In the MSU environment, tenecteplase (TNK) offers practical benefits as it is administered as a single bolus rather than a one-hour infusion like alteplase (tPA). In the present study, we test the hypothesis that treatment with TNK in the MSU results in superior reperfusion on hospital arrival compared with tPA. Method(s): The Tenecteplase versus Alteplase for Stroke Thrombolysis Evaluation Trial in the Ambulance (Mobile Stroke Unit- TASTE-A) is a PROBE, phase II superiority RCT of TNK (0.25mg/kg) versus tPA (0.9mg/ kg) for patients presenting within 4.5 hours of symptom onset to the Melbourne MSU. The primary outcome is the volume of the perfusion lesion post treatment, on computed tomography perfusion imaging performed on arrival at the receiving hospital ED, adjusted for pre-treatment NIHSS and time from initiation of MSU treatment to ED imaging. Secondary outcomes include time for MSU arrival to treatment, NIHSS change from MSU to ED assessments and 90 day modified Rankin Score. Result(s): The trial was conducted on one MSU in Melbourne Australia which transferred enrolled patients to one of five participating hospitals. The last patient was recruited on November 16, 2021 after recruitment of the prespecified adaptive sample size of 104 patients, and the final results will be presented at the conference. Conclusion(s): To be Determined.
Published: 2022

10. Plasma Angiotensin Converting Enzyme 2 (ACE2) Activity in Healthy Controls and Patients with Cardiovascular Risk Factors and/or Disease

Author: Lim, HY, Patel, SK, Huang, P, Tacey, M, Choy, KW, Wang, J, Donnan, G, Nandurkar, HH, Ho, P, Burrell, LM, Lim, HY, Patel, SK, Huang, P, Tacey, M, Choy, KW, Wang, J, Donnan, G, Nandurkar, HH, Ho, P, and Burrell, LM
Abstract: Angiotensin converting enzyme 2 (ACE2) is an endogenous negative regulator of the renin-angiotensin system, a key factor in the development of cardiovascular disease (CVD). ACE2 is also used by SARS-CoV-2 for host cell entry. Given that COVID-19 is associated with hypercoagulability, it is timely to explore the potential relationship between plasma ACE2 activity and the coagulation profile. In this cross-sectional study, ACE2 activity and global coagulation assays (GCA) including thromboelastography, thrombin, and fibrin generation were measured in adult healthy controls (n = 123; mean age 41 ± 17 years; 35% male) and in patients with cardiovascular risk factors and/or disease (n = 258; mean age 65 ± 14 years; 55% male). ACE2 activity was significantly lower in controls compared to patients with cardiovascular risk factors and/or disease (median 0.10 (0.02, 3.33) vs. 5.99 (1.95, 10.37) pmol/mL/min, p < 0.001). Of the healthy controls, 48% had undetectable ACE2 activity. Controls with detectable ACE2 had lower maximum amplitude (p < 0.001). In patients with cardiovascular risk factors and/or disease, those in the 3rd tertile were older and male (p = 0.002), with a higher Framingham grade and increased number of cardiovascular risk factors (p < 0.001). In conclusion, plasma ACE2 activity is undetectable to very low in young healthy controls with minimal clinically relevant associations to GCA. Patients with cardiovascular risk factors and/or disease have increased plasma ACE2 activity, suggesting that it may be an important biomarker of endothelial dysfunction and atherosclerosis.
Published: 2022

11. The Need for Individualized Risk Assessment in Cardiovascular Disease

Author: Lim, HY, Burrell, LM, Brook, R, Nandurkar, HH, Donnan, G, Ho, P, Lim, HY, Burrell, LM, Brook, R, Nandurkar, HH, Donnan, G, and Ho, P
Abstract: Cardiovascular disease remains the leading cause of death in the era of modern medicine despite major advancements in this field. Current available clinical surrogate markers and blood tests do not adequately predict individual risk of cardiovascular disease. A more precise and sophisticated tool that can reliably predict the thrombosis and bleeding risks at an individual level is required in order for clinicians to confidently recommend early interventions with a favorable risk-benefit profile. Critical to the development of this tool is the assessment and understanding of Virchow's triad and its complex interactions between hypercoagulability, endothelial dysfunction and vessel flow, a fundamental concept to the development of thrombosis. This review explores the pathophysiology of cardiovascular disease stemming from the triad of factors and how individualized risk assessment can be improved through the multimodal use of tools such as global coagulation assays, endothelial biomarkers and vessel flow assessment.
Published: 2022

12. Prospective analysis of stroke recognition, stroke risk factors, thrombolysis rates and outcomes in Indigenous Australians from a large rural referral hospital

Author: Dos Santos, A, Mohr, K, Jude, M, Simon, NG, Parsons, M, Eades, S, Burchill, L, Davis, S, Donnan, G, Churliov, L, Delcourt, C, Dos Santos, A, Mohr, K, Jude, M, Simon, NG, Parsons, M, Eades, S, Burchill, L, Davis, S, Donnan, G, Churliov, L, and Delcourt, C
Abstract: BACKGROUND: Cardiovascular disease is the most common cause of death and disability in indigenous communities but limited prospective data exist about stroke. AIMS: To estimate the difference in stroke recognition, risk factors, treatment rates and outcomes between indigenous and non-indigenous peoples admitted to the Wagga Wagga Rural Referral Hospital (WWRRH) over a 5-year period with a suspected acute stroke. METHODS: All suspected strokes presenting to the 33 peripheral hospitals within the Murrumbidgee Local Health District (MLHD) were transferred to the WWRRH and prospectively assessed over a 5-year period from 1 January 2012 to 31 December 2017. Actions at stroke onset, risks factors, stroke type, treatment and outcomes were analysed. RESULTS: A total of 1843 patients were included. Of these, 45 (2.5%) patients were indigenous. Only 26.6% of indigenous and 34% of non-indigenous patients knew of the face, arm, speech, time (FAST) acronym. Indigenous patients were younger (mean age 62.0 years vs 74.4 years) and more likely to have diabetes (risk difference (RD) 22.3% (95% CI: 3%, 41.7%)), dyslipidaemia (RD 19.4% (95% CI: 21.%, 36.7%)), and be ever smokers (RD 24.9% (95% CI: 9.5%, 40.3%)). Stroke types were similar except lacunar infarcts were more common (19.2% vs 8.4%). Treatment rates and outcomes were similar between the two groups. CONCLUSIONS: Indigenous Australians with stroke are a decade younger and have a higher prevalence of important, modifiable stroke-risk factors. Delayed presentation to hospital is more common, due in part to stroke symptoms being underrecognised. When admitted to a specialised stroke unit, treatment rates and outcomes are comparable.
Published: 2022

13. The evaluation of overall hemostatic potential assay in patients with COVID-19 infection

Author: Lee, N, Wang, J, Brook, R, Monagle, P, Donnan, G, Nandurkar, H, Ho, P, Lim, HY, Lee, N, Wang, J, Brook, R, Monagle, P, Donnan, G, Nandurkar, H, Ho, P, and Lim, HY
Published: 2022

14. Prevalence and Significance of Impaired Microvascular Tissue Reperfusion Despite Macrovascular Angiographic Reperfusion (No-Reflow)

Author: Ng, FC, Churilov, L, Yassi, N, Kleinig, TJ, Thijs, V, Wu, T, Shah, D, Dewey, H, Sharma, G, Desmond, P, Yan, B, Parsons, M, Donnan, G, Davis, S, Mitchell, P, Campbell, B, Ng, FC, Churilov, L, Yassi, N, Kleinig, TJ, Thijs, V, Wu, T, Shah, D, Dewey, H, Sharma, G, Desmond, P, Yan, B, Parsons, M, Donnan, G, Davis, S, Mitchell, P, and Campbell, B
Abstract: BACKGROUND AND OBJECTIVES: The relevance of impaired microvascular tissue-level reperfusion despite complete upstream macrovascular angiographic reperfusion (no-reflow) in human stroke remains controversial. We investigated the prevalence and clinical-radiologic features of this phenomenon and its associations with outcomes in 3 international randomized controlled thrombectomy trials with prespecified follow-up perfusion imaging. METHODS: In a pooled analysis of the Extending the Time for Thrombolysis in Emergency Neurological Deficits-Intra-Arterial (EXTEND-IA; ClinicalTrials.gov NCT01492725), Tenecteplase Versus Alteplase Before Endovascular Therapy for Ischemic Stroke (EXTEND-IA TNK; NCT02388061), and Determining the Optimal Dose of Tenecteplase Before Endovascular Therapy for Ischaemic Stroke (EXTEND-IA TNK Part 2; NCT03340493) trials, patients undergoing thrombectomy with final angiographic expanded Treatment in Cerebral Infarction score of 2c to 3 score for anterior circulation large vessel occlusion and 24-hour follow-up CT or MRI perfusion imaging were included. No-reflow was defined as regions of visually demonstrable persistent hypoperfusion on relative cerebral blood volume or flow maps within the infarct and verified quantitatively by >15% asymmetry compared to a mirror homolog in the absence of carotid stenosis or reocclusion. RESULTS: Regions of no-reflow were identified in 33 of 130 patients (25.3%), encompassed a median of 60.2% (interquartile range 47.8%-70.7%) of the infarct volume, and involved both subcortical (n = 26 of 33, 78.8%) and cortical (n = 10 of 33, 30.3%) regions. Patients with no-reflow had a median 25.2% (interquartile range 16.4%-32.2%, p < 0.00001) relative cerebral blood volume interside reduction and 19.1% (interquartile range 3.9%-28.3%, p = 0.00011) relative cerebral blood flow reduction but similar mean transit time (median -3.3%, interquartile range -11.9% to 24.4%, p = 0.24) within the infarcted region. Baseline characterist
Published: 2022

15. Global coagulation assays in hypercoagulable states

Author: Lim, HY, Donnan, G, Nandurkar, H, Ho, P, Lim, HY, Donnan, G, Nandurkar, H, and Ho, P
Abstract: Thrombosis is one of the major global causes of morbidity and mortality, and predicting the risk of thrombotic and cardiovascular complications remains one of the key challenges in modern medicine. Conventional coagulation testing does not provide sufficient information, primarily because they measure the time to start of blood clotting and do not evaluate total thrombin generation. Possible adjunctive tools that may be helpful are global coagulation assays, which includes the assessment of the final products of the coagulation cascade, namely thrombin and fibrin. Whilst these assays have been more widely investigated in bleeding states, their role in thrombotic disorders is less established. We have previously investigated the use of assays such as thromboelastography, calibrated automated thrombogram and overall haemostatic potential assay in several hypercoagulable states including cardiovascular disease, haematological disorders and influence of hormone status as well as healthy controls. We provide a review of the use and limitations of global coagulation assays in healthy controls as well as hypercoagulable conditions.
Published: 2022

16. Prediction of disability-free survival in healthy older people

Author: Neumann, J.T., Thao, L.T.P., Murray, A.M., Callander, E., Carr, P.R., Nelson, M.R., Wolfe, R., Woods, R.L., Reid, Christopher, Shah, R.C., Newman, A.B., Williamson, J.D., Tonkin, A.M., McNeil, J.J., Murray, A., Beilin, L., Chan, A., Demons, J., Ernst, M., Espinoza, S., Goetz, M., Johnston, C., Kirpach, B., Liew, D., Margolis, K., Meyskens, F., Nelson, M., Reid, C., Shah, R., Storey, E., Woods, R., Zalcberg, J., Ives, D., Berk, M., Bernstein, W., Brauer, D., Burns, C., Chong, T., Cloud, G., Donnan, G., Eaton, C., Fitzgerald, P., Gibbs, P., Haydon, A., Jelinek, M., Macrae, F., Mahady, S., Malik, M., McLean, C., Newman, A., Rodriguez, L., Satterfield, S., van Londen, G., Ward, S., Williamson, J., Wood, E., Mohr, J., Anderson, G., Connolly, S., Friedman, L., Manson, J.A., Sano, M., Morrison, S., Ohman, E.M., Abhayaratna, W., Lockett, T., Stocks, N., Lewis, B., Obisesan, T., Gilbertson, D., Lockery, J., Rigby, J., Neumann, J.T., Thao, L.T.P., Murray, A.M., Callander, E., Carr, P.R., Nelson, M.R., Wolfe, R., Woods, R.L., Reid, Christopher, Shah, R.C., Newman, A.B., Williamson, J.D., Tonkin, A.M., McNeil, J.J., Murray, A., Beilin, L., Chan, A., Demons, J., Ernst, M., Espinoza, S., Goetz, M., Johnston, C., Kirpach, B., Liew, D., Margolis, K., Meyskens, F., Nelson, M., Reid, C., Shah, R., Storey, E., Woods, R., Zalcberg, J., Ives, D., Berk, M., Bernstein, W., Brauer, D., Burns, C., Chong, T., Cloud, G., Donnan, G., Eaton, C., Fitzgerald, P., Gibbs, P., Haydon, A., Jelinek, M., Macrae, F., Mahady, S., Malik, M., McLean, C., Newman, A., Rodriguez, L., Satterfield, S., van Londen, G., Ward, S., Williamson, J., Wood, E., Mohr, J., Anderson, G., Connolly, S., Friedman, L., Manson, J.A., Sano, M., Morrison, S., Ohman, E.M., Abhayaratna, W., Lockett, T., Stocks, N., Lewis, B., Obisesan, T., Gilbertson, D., Lockery, J., and Rigby, J.
Abstract: Prolonging survival in good health is a fundamental societal goal. However, the leading determinants of disability-free survival in healthy older people have not been well established. Data from ASPREE, a bi-national placebo-controlled trial of aspirin with 4.7 years median follow-up, was analysed. At enrolment, participants were healthy and without prior cardiovascular events, dementia or persistent physical disability. Disability-free survival outcome was defined as absence of dementia, persistent disability or death. Selection of potential predictors from amongst 25 biomedical, psychosocial and lifestyle variables including recognized geriatric risk factors, utilizing a machine-learning approach. Separate models were developed for men and women. The selected predictors were evaluated in a multivariable Cox proportional hazards model and validated internally by bootstrapping. We included 19,114 Australian and US participants aged ≥65 years (median 74 years, IQR 71.6–77.7). Common predictors of a worse prognosis in both sexes included higher age, lower Modified Mini-Mental State Examination score, lower gait speed, lower grip strength and abnormal (low or elevated) body mass index. Additional risk factors for men included current smoking, and abnormal eGFR. In women, diabetes and depression were additional predictors. The biased-corrected areas under the receiver operating characteristic curves for the final prognostic models at 5 years were 0.72 for men and 0.75 for women. Final models showed good calibration between the observed and predicted risks. We developed a prediction model in which age, cognitive function and gait speed were the strongest predictors of disability-free survival in healthy older people. Trial registration Clinicaltrials.gov (NCT01038583).
Published: 2022

17. Cardiovascular risk prediction in healthy older people

Author: Neumann, J.T., Thao, L.T.P., Callander, E., Chowdhury, Enayet, Williamson, J.D., Nelson, M.R., Donnan, G., Woods, R.L., Reid, Christopher, Poppe, K.K., Jackson, R., Tonkin, A.M., McNeil, J.J., Neumann, J.T., Thao, L.T.P., Callander, E., Chowdhury, Enayet, Williamson, J.D., Nelson, M.R., Donnan, G., Woods, R.L., Reid, Christopher, Poppe, K.K., Jackson, R., Tonkin, A.M., and McNeil, J.J.
Abstract: Identification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. However, algorithms specific to the elderly are lacking. Data were analysed from a randomised trial involving 18,548 participants ≥ 70 years old (mean age 75.4 years), without prior cardiovascular disease events, dementia or physical disability. MACE included coronary heart disease death, fatal or nonfatal ischaemic stroke or myocardial infarction. Potential predictors tested were based on prior evidence and using a machine-learning approach. Cox regression analyses were used to calculate 5-year predicted risk, and discrimination evaluated from receiver operating characteristic curves. Calibration was also assessed, and the findings internally validated using bootstrapping. External validation was performed in 25,138 healthy, elderly individuals in the primary care environment. During median follow-up of 4.7 years, 594 MACE occurred. Predictors in the final model included age, sex, smoking, systolic blood pressure, high-density lipoprotein cholesterol (HDL-c), non-HDL-c, serum creatinine, diabetes and intake of antihypertensive agents. With variable selection based on machine-learning, age, sex and creatinine were the most important predictors. The final model resulted in an area under the curve (AUC) of 68.1 (95% confidence intervals 65.9; 70.4). The model had an AUC of 67.5 in internal and 64.2 in external validation. The model rank-ordered risk well but underestimated absolute risk in the external validation cohort. A model predicting incident MACE in healthy, elderly individuals includes well-recognised, potentially reversible risk factors and notably, renal function. Calibration would be necessary when used in other populations.
Published: 2022

18. Cardiovascular risk prediction in healthy older people.

Author: Neumann, JT, Thao, LTP, Callander, E, Chowdhury, E, Williamson, JD, Nelson, MR, Donnan, G, Woods, RL, Reid, CM, Poppe, KK, Jackson, R, Tonkin, AM, McNeil, JJ, Neumann, JT, Thao, LTP, Callander, E, Chowdhury, E, Williamson, JD, Nelson, MR, Donnan, G, Woods, RL, Reid, CM, Poppe, KK, Jackson, R, Tonkin, AM, and McNeil, JJ
Abstract: Identification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. However, algorithms specific to the elderly are lacking. Data were analysed from a randomised trial involving 18,548 participants ≥ 70 years old (mean age 75.4 years), without prior cardiovascular disease events, dementia or physical disability. MACE included coronary heart disease death, fatal or nonfatal ischaemic stroke or myocardial infarction. Potential predictors tested were based on prior evidence and using a machine-learning approach. Cox regression analyses were used to calculate 5-year predicted risk, and discrimination evaluated from receiver operating characteristic curves. Calibration was also assessed, and the findings internally validated using bootstrapping. External validation was performed in 25,138 healthy, elderly individuals in the primary care environment. During median follow-up of 4.7 years, 594 MACE occurred. Predictors in the final model included age, sex, smoking, systolic blood pressure, high-density lipoprotein cholesterol (HDL-c), non-HDL-c, serum creatinine, diabetes and intake of antihypertensive agents. With variable selection based on machine-learning, age, sex and creatinine were the most important predictors. The final model resulted in an area under the curve (AUC) of 68.1 (95% confidence intervals 65.9; 70.4). The model had an AUC of 67.5 in internal and 64.2 in external validation. The model rank-ordered risk well but underestimated absolute risk in the external validation cohort. A model predicting incident MACE in healthy, elderly individuals includes well-recognised, potentially reversible risk factors and notably, renal function. Calibration would be necessary when used in other populations.
Published: 2022

19. 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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20. Referral Patterns in Clinical Trials

Author: Davis, S., Donnan, G., Vincent, Jean-Louis, editor, Steiner, Thorsten, editor, Hacke, Werner, editor, and Hanley, Daniel F., editor
Published: 1998
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21. Cardiovascular risk prediction in healthy older people

Author: Neumann, JT, Thao, LTP, Callander, E, Chowdhury, E, Williamson, JD, Nelson, MR, Donnan, G, Woods, RL, Reid, CM, Poppe, KK, Jackson, R, Tonkin, AM, and McNeil, JJ
Subjects: Stroke, Cardiovascular Diseases, Heart Disease Risk Factors, Risk Factors, Humans, Aged, Brain Ischemia
Abstract: Identification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. However, algorithms specific to the elderly are lacking. Data were analysed from a randomised trial involving 18,548 participants ≥ 70 years old (mean age 75.4 years), without prior cardiovascular disease events, dementia or physical disability. MACE included coronary heart disease death, fatal or nonfatal ischaemic stroke or myocardial infarction. Potential predictors tested were based on prior evidence and using a machine-learning approach. Cox regression analyses were used to calculate 5-year predicted risk, and discrimination evaluated from receiver operating characteristic curves. Calibration was also assessed, and the findings internally validated using bootstrapping. External validation was performed in 25,138 healthy, elderly individuals in the primary care environment. During median follow-up of 4.7 years, 594 MACE occurred. Predictors in the final model included age, sex, smoking, systolic blood pressure, high-density lipoprotein cholesterol (HDL-c), non-HDL-c, serum creatinine, diabetes and intake of antihypertensive agents. With variable selection based on machine-learning, age, sex and creatinine were the most important predictors. The final model resulted in an area under the curve (AUC) of 68.1 (95% confidence intervals 65.9; 70.4). The model had an AUC of 67.5 in internal and 64.2 in external validation. The model rank-ordered risk well but underestimated absolute risk in the external validation cohort. A model predicting incident MACE in healthy, elderly individuals includes well-recognised, potentially reversible risk factors and notably, renal function. Calibration would be necessary when used in other populations.
Published: 2021

22. Reperfusion in Patients with the 'Spectacular Shrinking Deficit' Demonstrated by 99mTc-hexamethylpropyleneamine Oxime Single Photon Emission Computed Tomography

Author: Baird, A. E., Donnan, G. A., Austin, M. C., McKay, W. J., Yamaguchi, Takenori, editor, Mori, Etsuro, editor, Minematsu, Kazuo, editor, and del Zoppo, Gregory J., editor
Published: 1995
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23. 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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24. Australian Streptokinase Trial (ASK)

Author: Donnan, G. A., Davis, S. M., Chambers, B. R., Gates, P. C., Hankey, G. J., Stewart-Wynne, E. G., Rosen, D., Tuck, R. R., McNeil, J. J., del Zoppo, Gregory J., editor, Mori, Etsuro, editor, and Hacke, Werner, editor
Published: 1993
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25. How Well Do Standard Stroke Outcome Measures Reflect Quality of Life?: A Retrospective Analysis of Clinical Trial Data

Author: Ali, Myzoon, Fulton, Rachael, Quinn, Terry, Brady, Marian, 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., Weimar, C., Brady, M., Ali, M., Ashburn, A., Barer, D., Bernhardt, J., Bowen, A., Brodie, E., Corr, S., Drummond, A., Edmans, J., English, C., Gladman, J., Godecke, E., Hoffmann, T., Kalra, L., Kuys, S., Langhorne, P., Laska, A. C., Lees, K. R., Lincoln, N., Logan, P., Jongbloed, L., Mead, G., Pollock, A., Pomeroy, V., Rodgers, H., Sackley, C., Shaw, L., Stott, D. J., Sunnerhagen, K. S., Tyson, S., van Vliet, P., Walker, M., Whiteley, W., Warach, S., Albers, G., Davis, S., Donnan, G., Fisher, M., Furlan, T., Grotta, J., Hacke, W., Kidwell, C., Koroshetz, W., Lees, K. R., Lev, M., Liebeskind, D., Sorensen, G., Thijs, V., Thomalla, G., Wardlaw, J., Wintermark, M., Hanley, D. F., Gregson, B., Davis, S., Lees, K. R., Lyden, P., Muir, K., Steiner, T., Mayer, S., Wahlgren, N. G., Molina, C., Numminen, H., Lees, K. R., Tsivgoulis, G., Weimar, C., Diener, H. -C., Hankey, G., Lees, K. R., Ovbiagele, B., and Weir, C.
Published: 2013
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26. Tenecteplase versus Alteplase for Stroke Thrombolysis Evaluation (TASTE) Trial: O76

Author: Parsons, M., Bivard, A., Campbell, B., McElduff, P., Hsu, C., Butcher, K., Bladin, C., Lindley, R., Hacke, W., Albers, G., Ma, H., Phan, T., Molina, C., Thijs, V., Donnan, G., Davis, S., and Levi, C.
Published: 2015

27. ICARUSS, the Integrated Care for the Reduction of Secondary Stroke trial: rationale and design of a randomized controlled trial of a multimodal intervention to prevent recurrent stroke in patients with a recent cerebrovascular event, ACTRN = 12611000264987

Author: Joubert, J., Davis, S. M., Hankey, G. J., Levi, C., Olver, J., Gonzales, G., and Donnan, G. A.
Published: 2015
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28. Salvage of the PWI/DWI mismatch up to 48 h from stroke onset leads to favorable clinical outcome

Author: Ma, H., Wright, P., Allport, L., Phan, T. G., Churilov, L., Ly, J., Zavala, J. A., Arakawa, S., Campbell, B., Davis, S. M, and Donnan, G. A.
Published: 2015
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29. 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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30. 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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31. Associations of chronic heart failure with outcome in acute ischaemic stroke patients who received systemic thrombolysis: analysis from VISTA

Author: Abdul-Rahim, A. H., Fulton, R. L., Frank, B., McMurray, J. J. V., Lees, K. 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: 2015
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32. Reduction in retained activity participation is associated with depressive symptoms 3 months after mild stroke: An observational cohort study

Author: Tse, Tamara, Douglas, Jacinta, Lentin, P, Lind��n, T, Churilov, L, Ma, H, Davis, S, Donnan, G, and Carey, Leeanne
Subjects: cardiovascular diseases, Uncategorized
Abstract: Objective: To quantify the association of depressive symptoms with retained activity participation 3 months post-stroke, after adjusting for neurological stroke severity and age. Design: A cross-sectional observational study of retained activity participation and depressive symptoms in stroke survivors with ischaemic stroke. Participants: One hundred stroke survivors with mild neurological stroke severity. Methods: One hundred stroke survivors were recruited from 5 metropolitan hospitals and reviewed at 3 months post-stroke using measures of activity participation, Activity Card Sort-Australia, and depressive symptoms, Montgomery-Asberg Depression Rating Scale Structured Interview Guide (MADRS-SIGMA). Results: The median percentage of retained overall activity participation was 97%, (interquartile range 79-100%). Using multiple median regression, 1 point increase in the MADRS-SIGMA was associated with a median decrease of 0.7% (95% CI -1.4 to -0.1, p=0.02) of retained overall activity participation, assuming similar neurological stroke severity and age. Conclusion: The findings of this study establish the association of depressive symptoms with retained activity participation 3 months post-stroke in stroke survivors with mild neurological stroke severity. Clinical rehabilitation recommendations to enhance activity participation need to account for those with even mild depressive symptoms post-stroke.
Published: 2021
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33. The state of stroke services across the globe: Report of World Stroke Organization-World Health Organization surveys.

Author: Owolabi M.O., Thrift A.G., Martins S., Johnson W., Pandian J., Abd-Allah F., Varghese C., Mahal A., Yaria J., Phan H.T., Gall S.L., Beare R., Phan T.G., Mikulik R., Feigin V.L., on behalf of the Stroke Experts Collaboration Group, Abera S.F., Addissie A., Adeleye A., Adilbekov Y., Adilbekova B., Adoukonou T.A., Aguiar D.S.D., Akhmetzhanova Z., Akinyemi R.O., Akpalu A., Ameriso S.F., Andonova S., Abanto C., Awoniyi F.E., Bakhiet M., Basri H., Bath P.M., Bereczki D., Beretta S., Berkowitz A.L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M.S., Bovet P., Brainin M., Budincevic H., Cabral N.L., Cadilhac D.A., Caso V., Chen C., Chin J.H., Christensen H., Chwojnicki K., Conforto A.B., Cruz V.T., D'Amelio M., Danielyan K.E., Davis S., Demarin V., Dempsey R.J., Dichgans M., Dokova, Donnan G., Duran J., Elizondo M.A.B., Elkind M.S., Endres M., Etedal I., Faris M.E., Fischer U., Gankpe F., Gavidia M., Gaye-Saavedra A., Giroud M., Gongora-Rivera F., Hachinski V., Hacke W., Hamadeh R.R., Hamzat T.K., Hankey G.J., Heldner M.R., Ibrahim N.M., Inoue M., Jee S., Jiann-Shing J., Johnston S., Kalkonde Y., Kamenova S., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R., Langhorne P., Kang Z.L., Kruja J., Lavados P.M., Lebedynets D., Leung T.W., Liebeskind D.S., Lindsay P., Liu L., Lopez-Jaramillo P., Lotufo P.A., Machline-Carrion J.M., Markus H.S., Marquez-Romero J.M., Medina M.T., Medukhanova S., Mehndiratta M.M., Mirrakhimov E., Mohl S., Murphy S., Musa K.I., Nasreldein A., Nogueira R., Nolte C.H., Norrving B., Noubiap J.J., Novarro-Escudero N., O'Donnell M., Ogun V., Oraby M.I., Ovbiagele B., Orken D.N., Ozdemir A.O., Ozturk S., Paccot M., Peters A., Piradov M., Platz T., Potpara T., Ranta A., Rathore F.A., Roth G., Sacco R.L., Sahathevan R., Santos I.C., Saposnik G., Sarfo F.S., Sharma M., Sheth K.N., Shobhana A., Silva S.N., Suwanwela N., Sylaja P.N., Thakur K., Toni D., Topcuoglu M.A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tsong-Hai L., Tulloch-Reid M., Useche J.N., Vanacker P., Vassilopoulou S., Venketasubramanian N., Vukorepa G., Vuletic V., Wahab K.W., Wang W., Wijeratne T., Wolfe C., Yifru M.Y., Yock-Corrales A., Yonemoto N., Yperzeele L., Owolabi M.O., Thrift A.G., Martins S., Johnson W., Pandian J., Abd-Allah F., Varghese C., Mahal A., Yaria J., Phan H.T., Gall S.L., Beare R., Phan T.G., Mikulik R., Feigin V.L., on behalf of the Stroke Experts Collaboration Group, Abera S.F., Addissie A., Adeleye A., Adilbekov Y., Adilbekova B., Adoukonou T.A., Aguiar D.S.D., Akhmetzhanova Z., Akinyemi R.O., Akpalu A., Ameriso S.F., Andonova S., Abanto C., Awoniyi F.E., Bakhiet M., Basri H., Bath P.M., Bereczki D., Beretta S., Berkowitz A.L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M.S., Bovet P., Brainin M., Budincevic H., Cabral N.L., Cadilhac D.A., Caso V., Chen C., Chin J.H., Christensen H., Chwojnicki K., Conforto A.B., Cruz V.T., D'Amelio M., Danielyan K.E., Davis S., Demarin V., Dempsey R.J., Dichgans M., Dokova, Donnan G., Duran J., Elizondo M.A.B., Elkind M.S., Endres M., Etedal I., Faris M.E., Fischer U., Gankpe F., Gavidia M., Gaye-Saavedra A., Giroud M., Gongora-Rivera F., Hachinski V., Hacke W., Hamadeh R.R., Hamzat T.K., Hankey G.J., Heldner M.R., Ibrahim N.M., Inoue M., Jee S., Jiann-Shing J., Johnston S., Kalkonde Y., Kamenova S., Kelly P., Khan T., Kiechl S., Kondybayeva A., Korv J., Kravchenko M., Krishnamurthi R., Langhorne P., Kang Z.L., Kruja J., Lavados P.M., Lebedynets D., Leung T.W., Liebeskind D.S., Lindsay P., Liu L., Lopez-Jaramillo P., Lotufo P.A., Machline-Carrion J.M., Markus H.S., Marquez-Romero J.M., Medina M.T., Medukhanova S., Mehndiratta M.M., Mirrakhimov E., Mohl S., Murphy S., Musa K.I., Nasreldein A., Nogueira R., Nolte C.H., Norrving B., Noubiap J.J., Novarro-Escudero N., O'Donnell M., Ogun V., Oraby M.I., Ovbiagele B., Orken D.N., Ozdemir A.O., Ozturk S., Paccot M., Peters A., Piradov M., Platz T., Potpara T., Ranta A., Rathore F.A., Roth G., Sacco R.L., Sahathevan R., Santos I.C., Saposnik G., Sarfo F.S., Sharma M., Sheth K.N., Shobhana A., Silva S.N., Suwanwela N., Sylaja P.N., Thakur K., Toni D., Topcuoglu M.A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tsong-Hai L., Tulloch-Reid M., Useche J.N., Vanacker P., Vassilopoulou S., Venketasubramanian N., Vukorepa G., Vuletic V., Wahab K.W., Wang W., Wijeratne T., Wolfe C., Yifru M.Y., Yock-Corrales A., Yonemoto N., and Yperzeele L.
Abstract: Background: Improving stroke services is critical for reducing the global stroke burden. The World Stroke Organization-World Health Organization-Lancet Neurology Commission on Stroke conducted a survey of the status of stroke services in low and middle-income countries (LMICs) compared to high-income countries. Method(s): Using a validated World Stroke Organization comprehensive questionnaire, we collected and compared data on stroke services along four pillars of the stroke quadrangle (surveillance, prevention, acute stroke, and rehabilitation) in 84 countries across World Health Organization regions and economic strata. The World Health Organization also conducted a survey of non-communicable diseases in 194 countries in 2019. Result(s): Fewer surveillance activities (including presence of registries, presence of recent risk factors surveys, and participation in research) were reported in low-income countries than high-income countries. The overall global score for prevention was 40.2%. Stroke units were present in 91% of high-income countries in contrast to 18% of low-income countries (p < 0.001). Acute stroke treatments were offered in ~ 60% of high-income countries compared to 26% of low-income countries (p = 0.009). Compared to high-income countries, LMICs provided less rehabilitation services including in-patient rehabilitation, home assessment, community rehabilitation, education, early hospital discharge program, and presence of rehabilitation protocol. Conclusion(s): There is an urgent need to improve access to stroke units and services globally especially in LMICs. Countries with less stroke services can adapt strategies from those with better services. This could include establishment of a framework for regular monitoring of stroke burden and services, implementation of integrated prevention activities and essential acute stroke care services, and provision of interdisciplinary care for stroke rehabilitation.Copyright © 2021 World Stroke Organization.
Published: 2021

34. Trajectory of recovery following clot retrieval-individual patient data analysis from three thrombectomy trials (DEFUSE 3, ESCAPE, EXTEND-IA).

Author: Phan T., Ma H., Hill M., Campbell B., Albers G., Han J., Goyal M., Demchuk A., Davis S., Donnan G., Singhal S., Phan T., Ma H., Hill M., Campbell B., Albers G., Han J., Goyal M., Demchuk A., Davis S., Donnan G., and Singhal S.
Abstract: Background And Aims: The trajectory of recovery within the first week of thrombectomy may be useful in providing prognosis, planning rehabilitation or to define a point of plateau in recovery for further intervention. The aim was to analyze the trajectory of stroke deficit in thrombectomy trials. Method(s): Individual patient data on National Institute of Health Stroke Scale (NIHSS) were pooled from three trials (DEFUSE 3, ESCAPE, and EXTEND-IA) at baseline, post-treatment, and day 3 to 5. Linear regression analysis was used to analyze the trajectory of recovery in the first 24-hour and the post 24-hour period. In the second part, Group Based Trajectory Modelling (GBTM) was used to cluster the longitudinal trajectory of NIHSS in the first five days and entered as covariates in logistic regression to predict 90-day disability (modified Rankin Scale >2). Result(s): Thrombectomy (n=224) patients achieved a steeper improvement in NIHSS, from baseline to 24 hours (beta=-8.18, 95% -9.42 - -6.93) compared with (n=197) control (beta=-3.05, 95% -4.48 - -1.63; p<0.001). Recovery was not statistically different between thrombectomy and control patients beyond 24 hours (beta=-2.41, 95% -3.81 - - 1.00 versus beta=-1.05, 95% -2.85 - 0.75; p=0.24). Model 1: trajectory clusters, age, diabetes and trial component were significant predictors of disability (AUC=0.81, 95% CI 0.77 - 0.86); addition of day 3 to 5 NIHSS increases AUC (0.92, 95% CI 0.89 - 0.95) Conclusion(s): Thrombectomy patients had steeper recovery compared with control in the first 24 hours of treatment. Trajectory cluster provides additional information to prediction of outcome. (Figure Presented).
Published: 2021

35. Neurodegeneration Over 3 Years Following Ischaemic Stroke: Findings From the Cognition and Neocortical Volume After Stroke Study

Author: Brodtmann, A, Werden, E, Khlif, MS, Bird, LJ, Egorova, N, Veldsman, M, Pardoe, H, Jackson, G, Bradshaw, J, Darby, D, Cumming, T, Churilov, L, Donnan, G, Brodtmann, A, Werden, E, Khlif, MS, Bird, LJ, Egorova, N, Veldsman, M, Pardoe, H, Jackson, G, Bradshaw, J, Darby, D, Cumming, T, Churilov, L, and Donnan, G
Abstract: Background: Stroke survivors are at high risk of dementia, associated with increasing age and vascular burden and with pre-existing cognitive impairment, older age. Brain atrophy patterns are recognised as signatures of neurodegenerative conditions, but the natural history of brain atrophy after stroke remains poorly described. We sought to determine whether stroke survivors who were cognitively normal at time of stroke had greater total brain (TBV) and hippocampal volume (HV) loss over 3 years than controls. We examined whether stroke survivors who were cognitively impaired (CI) at 3 months following their stroke had greater brain volume loss than cognitively normal (CN) stroke participants over the next 3 years. Methods: Cognition And Neocortical Volume After Stroke (CANVAS) study is a multi-centre cohort study of first-ever or recurrent adult ischaemic stroke participants compared to age- and sex-matched community controls. Participants were followed with MRI and cognitive assessments over 3 years and were free of a history of cognitive impairment or decline at inclusion. Our primary outcome measure was TBV change between 3 months and 3 years; secondary outcomes were TBV and HV change comparing CI and CN participants. We investigated associations between group status and brain volume change using a baseline-volume adjusted linear regression model with robust standard error. Results: Ninety-three stroke (26 women, 66.7 ± 12 years) and 39 control participants (15 women, 68.7 ± 7 years) were available at 3 years. TBV loss in stroke patients was greater than controls: stroke mean (M) = 20.3 cm3 ± SD 14.8 cm3; controls M = 14.2 cm3 ± SD 13.2 cm3; [adjusted mean difference 7.88 95%CI (2.84, 12.91) p-value = 0.002]. TBV decline was greater in those stroke participants who were cognitively impaired (M = 30.7 cm3; SD = 14.2 cm3) at 3 months (M = 19.6 cm3; SD = 13.8 cm3); [adjusted mean difference 10.42; 95%CI (3.04, 17.80), p-value = 0.006]. No statistically significant d
Published: 2021

36. Global coagulation assays in patients with diabetes mellitus

Author: Lim, HY, Lui, B, Tacey, M, Kwok, A, Varadarajan, S, Donnan, G, Nandurkar, H, Ho, P, Lim, HY, Lui, B, Tacey, M, Kwok, A, Varadarajan, S, Donnan, G, Nandurkar, H, and Ho, P
Abstract: BACKGROUND: There is significant heterogeneity in the incidence and severity of diabetes-associated vascular complications and there is no routine biomarker that accurately predicts these outcomes. This pilot study investigates the role of global coagulation assays in patients with diabetes mellitus. METHODS: In this cross-sectional study, patients with diabetes not on anticoagulation or dialysis and without active malignancy were recruited from endocrinology clinics. Blood samples were collected for global coagulation assays including thromboelastography (TEG), thrombin generation using calibrated automated thrombogram (CAT), and fibrin generation and fibrinolysis using the overall hemostatic potential (OHP) assay. The results were compared with healthy controls. RESULTS: A total of 147 adult patients including 19 with type 1 diabetes (T1DM), 120 with type 2 diabetes (T2DM), and eight with latent autoimmune diabetes were recruited. Compared with 153 healthy controls, patients with diabetes demonstrated higher maximum amplitude (68.6 vs 60.2 mm, p < 0.001) on TEG, and higher OHP (9.3 vs 6.4, p < 0.001) with comparable CAT parameters. Patients with T2DM were more hypercoagulable than those with T1DM on most biomarkers. Higher maximum amplitude, velocity index, and OHP were associated with increased risk of complications (C-stat 0.82). Patients with history of microvascular complications appear to have more hypercoagulable thrombin and fibrin generation than those without. CONCLUSION: Patients with diabetes have more hypercoagulable profiles on global coagulation assays, particularly patients with T2DM and those with microvascular complications. Further studies with longitudinal follow-up are ongoing to evaluate the utility of global coagulation assays in predicting long-term patient outcomes.
Published: 2021

37. Does variability in automated perfusion software outputs for acute ischemic stroke matter? Reanalysis of EXTEND perfusion imaging

Author: Bivard, A, Churilov, L, Ma, H, Levi, C, Campbell, B, Yassi, N, Meretoja, A, Zhao, H, Sharma, G, Chen, C, Davis, S, Donnan, G, Yan, B, Parsons, M, Bivard, A, Churilov, L, Ma, H, Levi, C, Campbell, B, Yassi, N, Meretoja, A, Zhao, H, Sharma, G, Chen, C, Davis, S, Donnan, G, Yan, B, and Parsons, M
Abstract: AIMS: We reprocessed the Extending the time for Thrombolysis in Emergency Neurological Deficits (EXTEND) perfusion imaging with a different automated software with the aim of comparing mismatch eligibility and outcomes. METHODS: EXTEND baseline perfusion imaging data were reprocessed using autoMIStar software to identify patients who were eligible based on the same target mismatch criteria as per the original trial. RESULTS: From the 225 patients fulfilling RAPID-based mismatch criteria randomized in the EXTEND study, 196 (87%) patients met the revised mismatch criteria. Most common reasons for not meeting revised criteria were core >70 ml (n = 9), and no perfusion lesion/lack of penumbral tissue (n = 20). The revised perfusion lesion volumes were significantly smaller compared to the original RAPID volumes (median 68 ml IQR 34-102 ml vs. 42 ml 16-92 ml, p = 0.036). Of the patients who met the revised mismatch criteria, 40% receiving alteplase had modified Rankin Scale (mRS) 0-1 at 3-month compared to 28% with placebo (Adjusted Odds Ratio (OR) = 2.23, CI 1.08-4.58, p = 0.028). In contrast, in the original mismatch cohort, 35% receiving alteplase had mRS 0-1 at 3-month compared to 30% with placebo (adjusted OR = 1.88, p = 0.056). CONCLUSIONS: These data reinforce the benefit of alteplase in the later time window, and suggest that differences in automated perfusion imaging software outputs may be clinically relevant.
Published: 2021

38. HMPAO SPECT Measures Reperfusion After Thrombolytic Therapy in Acute Stroke

Author: Baird, A. E., Donnan, G. A., Austin, M. C., Fitt, G. J., McKay, W. J., del Zoppo, Gregory J., editor, Mori, Etsuro, editor, and Hacke, Werner, editor
Published: 1993
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39. 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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40. Stroke data collection in the Australian Stroke Clinical Registry – Progress with a purpose

Author: Cadilhac, D, Lannin, N A, Kilkenny, M, Kung, F, Grabsch, B, Donnan, G, Levi, C R, Dewey, H, Hill, K, Faux, S, Middleton, S, and Anderson, C
Published: 2014

41. Life after stroke – A reflection on patientsʼ experience using data from the Australian Stroke Clinical Registry (AuSCR)

Author: Lannin, N A, Cadilhac, D, Kilkenny, M, Kung, F, Grabsch, B, Donnan, G, Levi, C R, Dewey, H, Hill, K, Faux, S, Middleton, S, and Anderson, C
Published: 2014

42. Stroke location and lesion volume independently predict functional outcome after Stroke

Author: Yassi, N, Churilov, L, Campbell, B, Sharma, G, Bammer, R, Desmond, P M, Parsons, M, Albers, G, Donnan, G A, and Davis, S M
Published: 2014

43. Does the presence of CTP mismatch predict better outcomes in thrombolysis-treated patients?

Author: Bivard, A, Krishnamurthy, V, Levi, C, McElduff, P, Miteff, F, Spratt, N, Bateman, G, Donnan, G, Davis, S, and Parsons, M
Published: 2014

44. The Australian Stroke Clinical Registry – A national tool responsive to state needs

Author: Cadilhac, D, Lannin, N A, Kilkenny, M F, Kung, F, Grabsch, B, Donnan, G, Levi, C, Dewey, H, Hill, K, Faux, S, Grimley, R, Middleton, S, and Anderson, C
Published: 2014

45. Quality of life and readmission after stroke: The Australian Stroke Clinical Registry experience

Author: Kilkenny, M F, Dewey, H, Andrew, N, Lannin, N A, Anderson, C, Donnan, G A, and Cadilhac, D A
Published: 2014

46. Variances in hospital death mortality: Experiences from the Australian Stroke Clinical Registry (AuSCR)

Author: Cadilhac, D, Lannin, N A, Kilkenny, M F, Churilov, L, Kung, F, Grabsch, B, Donnan, G, Levi, C, Dewey, H, Hill, K, Faux, S, Middleton, S, and Anderson, C
Published: 2014

47. Stroke thrombolysis: Tissue is more important than time

Author: Bivard, A, Krishnamurthy, V, Levi, C, McElduff, P, Miteff, F, Spratt, N, Bateman, G, Donnan, G, Davis, S, and Parsons, M
Published: 2014

48. 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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49. Does the cognitive measure Cog-4 show improvement among patients treated with thrombolysis after acute stroke?

Author: Hajjar, Karim, Fulton, Rachael L., Diener, Hans-Christoph, Lees, Kennedy R., Alexandrov, A, Bath, PMW, Bluhmki, E, Claesson, L, Curram, J, Davis, SM, Donnan, G, Diener, HC, Fisher, M, Gregson, B, Grotta, J, Hacke, W, Hennerici, MG, Hommel, M, Kaste, M, Lees, KR, Lyden, P, Marler, J, Muir, K, Sacco, R, Shuaib, A, Teal, P, Wahlgren, NG, Warach, S, and Weimar, C
Published: 2013
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50. Poster abstracts

Author: Amatoury, J., Bilston, L., Kairaitis, K., Wheatley, J., Amis, T., Ancoli-Israel, S., Parker, B., Liu, L., Antic, N., Hensley, M., Naughton, M., Rowland, S., Windler, S., McEvoy, R. D., Barnes, M., Collins, A., Hare, D., Jerums, G., Panagiotopoulos, S., Catcheside, P., Chau, N., Chan, A., Lee, R., Ng, A., Darendeliler, M. A., Grunstein, R., Cistulli, P., Eckert, D., Jordan, A., Wellman, A., Smith, S., Malhotra, A., White, D., Edwards, N., Blyton, D., Sullivan, C., El-Kharoubi, A., Farre, R., Almendros, I., Acerbi, I., Vilaseca, I., Montserrat, J. M., Navajas, D., Fietze, I., Blau, A., Minx, M., Diecker, B., Peter, J.-G., Glos, M., Penzel, T., Goff, E., Nicholas, C., Simonds, A., Trinder, J., Morrell, M., Horne, R., O’Driscoll, D., Noa, A., Ng, M., Yang, J., Davey, M., Anderson, V., Walker, A., Johal, A., Verma, M., Lam, J., Fish, V., Khandoker, A., Palaniswami, M., Kimoff, J., Divangahi, M., Payne, R., Hamid, Q., Petrof, B., Komada, I., Miyazaki, S., Okawa, M., Shimizu, T., Tanaka, T., Nishikawa, M., Mashima, K., Li, A., Nattie, E., Lindberg, E., Svensson, M., Franklin, K., Theorell-Haglöw, J., Janson, C., Norman, M., Pallayova, M., Donic, V., Tomori, Z., Pierce, R., Pearce, D., Cadhilac, D., Thrift, A., Davis, S., Donnan, G., Polotsky, V., Savransky, V., Bevans, S., Nanayakkara, A., Li, J., Smith, P., Torbenson, M., Solin, P., Jayamaha, J. E., Solin, M., Stadler, D., Paul, D., Bradley, J., McEvoy, D., Svanborg, E., Hagander, L., Harlid, R., Harder, L., Hultcrantz, E., Haraldsson, P.-O., Szollosi, I., Thompson, B., Krum, H., Kaye, D., Alexiou, T., Wild, J., Bjursell, A., Walsh, J., Leigh, M., Paduch, A., Armstrong, J., Maddison, K., Sampson, D., Hillman, D., Eastwood, P., Yim, S., Nguyen, A., Veves, A., Stevenson, K., Zou, D., Grote, L., Radlinski, J., Eder, D., Lindblad, U., and Hedner, J.
Published: 2007
Full Text: View/download PDF

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