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2. Invariant solutions of gradient $k$-Yamabe solitons

Author

Tokura, W., Barboza, M., Batista, E., and Kai, P.

Subjects
Mathematics - Differential Geometry
Abstract

The purpose of this paper is to study gradient $k$-Yamabe solitons conformal to pseudo-Euclidean space. We characterize all such solitons invariant under the action of an $(n-1)$-dimensional translation group. For rotational invariant solutions, we provide the classification of solitons with null curvatures. As an application, we construct infinitely many explicit examples of geodesically complete steady gradient $k$-Yamabe solitons conformal to the Lorentzian space.

Published
2021

4. Features of intracranial hemorrhage in cerebral venous thrombosis

Author

Afifi, K., Bellanger, G., Buyck, P. J., Zuurbier, S. M., Esperon, C. G., Barboza, M. A., Costa, P., Escudero, I., Renard, D., Lemmens, R., Hinteregger, N., Fazekas, F., Conde, J. Jimenez, Giralt-Steinhauer, E., Hiltunen, S., Arauz, A., Pezzini, A., Montaner, J., Putaala, J., Weimar, C., Schlamann, Marc, Gattringer, T., Tatlisumak, T., Coutinho, J. M., Demaerel, P., and Thijs, V.

Published
2020
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7. Correction to: Features of intracranial hemorrhage in cerebral venous thrombosis

Author

Afifi, K., Bellanger, G., Buyck, P. J., Zuurbier, S. M., Garcia-Esperon, C., Barboza, M. A., Costa, P., Escudero, I., Renard, D., Lemmens, R., Hinteregger, N., Fazekas, F., Jimenez-Conde, J., Giralt-Steinhauer, E., Hiltunen, S., Arauz, A., Pezzini, A., Montaner, J., Putaala, J., Weimar, C., Schlamann, Marc, Gattringer, T., Tatlisumak, T., Coutinho, J. M., Demaerel, P., and Thijs, V.

Published
2020
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11. Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study

Author

Nichols E, Abd-Allah F, Abdoli A, Abualhasan A, Abu-Gharbieh E, Afshin A, Akinyemi R, Alanezi F, Alipour V, Almasi-Hashiani A, Arabloo J, Ashraf-Ganjouei A, Ayano G, Ayuso-Mateos J, Baig A, Banach M, Barboza M, Barker-Collo S, Baune B, Bhagavathula A, Bhattacharyya K, Bijani A, Biswas A, Boloor A, Brayne C, Brenner H, Burkart K, Nagaraja S, Carvalho F, Castro-de-Araujo L, Catala-Lopez F, Cerin E, Cherbuin N, Chu D, Dai X, De Sa A, Djalalinia S, Douiri A, Edvardsson D, El-Jaafary S, Eskandarieh S, Faro A, Farzadfar F, Feigin V, Fereshtehnejad S, Fernandes E, Ferrara P, Filip I, Fischer F, Gaidhane S, Galluzzo L, Gebremeskel G, Ghashghaee A, Gialluisi A, Gnedovskaya E, Golechha M, Gupta R, Hachinski V, Haider M, Haile T, Hamiduzzaman M, Hankey G, Hay S, Heidari G, Heidari-Soureshjani R, Ho H, Househ M, Hwang B, Iacoviello L, Ilesanmi O, Ilic I, Ilic M, Irvani S, Iwagami M, Iyamu I, Jha R, Kalani R, Karch A, Kasa A, Khader Y, Khan E, Khatib M, Kim Y, Kisa S, Kisa A, Kivimaki M, Koyanagi A, Kumar M, Landires I, Lasrado S, Li B, Lim S, Liu X, Kunjathur S, Majeed A, Malik P, Mehndiratta M, Menezes R, Mohammad Y, Mohammed S, Mokdad A, Moni M, Nagel G, Naveed M, Nayak V, Nguyen C, Nguyen H, Nunez-Samudio V, Olagunju A, Ostroff S, Otstavnov N, Owolabi M, Kan F, Patel U, Phillips M, Piradov M, Pond C, Pottoo F, Prada S, Radfar A, Rahim F, Rana J, Rashedi V, Rawaf S, Rawaf D, Reinig N, Renzaho A, Rezaei N, Rezapour A, Romoli M, Roshandel G, Sachdev P, Sahebkar A, Sahraian M, Samaei M, Saylan M, Sha F, Shaikh M, Shibuya K, Shigematsu M, Shin J, Shiri R, Silva D, Singh J, Singhal D, Skryabin V, Skryabina A, Soheili A, Sotoudeh H, Spurlock E, Szoeke C, Tabares-Seisdedos R, Taddele B, Tovani-Palone M, Tsegaye G, Vacante M, Venketasubramanian N, Vidale S, Vlassov V, Vu G, Wang Y, Weiss J, Weldemariam A, Westerman R, Wimo A, Winkler A, Wu C, Yadollahpour A, Yesiltepe M, Yonemoto N, Yu C, Zastrozhin M, Zastrozhina A, Zhang Z, Murray C, Vos T, Apollo - University of Cambridge Repository, Nichols, E, Abd-Allah, F, Abdoli, A, Abualhasan, A, Abu-Gharbieh, E, Afshin, A, Akinyemi, R, Alanezi, F, Alipour, V, Almasi-Hashiani, A, Arabloo, J, Ashraf-Ganjouei, A, Ayano, G, Ayuso-Mateos, J, Baig, A, Banach, M, Barboza, M, Barker-Collo, S, Baune, B, Bhagavathula, A, Bhattacharyya, K, Bijani, A, Biswas, A, Boloor, A, Brayne, C, Brenner, H, Burkart, K, Burugina Nagaraja, S, Carvalho, F, Castro-de-Araujo, L, Catala-Lopez, F, Cerin, E, Cherbuin, N, Chu, D, Dai, X, de Sa-Junior, A, Djalalinia, S, Douiri, A, Edvardsson, D, El-Jaafary, S, Eskandarieh, S, Faro, A, Farzadfar, F, Feigin, V, Fereshtehnejad, S, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Gaidhane, S, Galluzzo, L, Gebremeskel, G, Ghashghaee, A, Gialluisi, A, Gnedovskaya, E, Golechha, M, Gupta, R, Hachinski, V, Haider, M, Haile, T, Hamiduzzaman, M, Hankey, G, Hay, S, Heidari, G, Heidari-Soureshjani, R, Ho, H, Househ, M, Hwang, B, Iacoviello, L, Ilesanmi, O, Ilic, I, Ilic, M, Irvani, S, Iwagami, M, Iyamu, I, Jha, R, Kalani, R, Karch, A, Kasa, A, Khader, Y, Khan, E, Khatib, M, Kim, Y, Kisa, S, Kisa, A, Kivimaki, M, Koyanagi, A, Kumar, M, Landires, I, Lasrado, S, Li, B, Lim, S, Liu, X, Madhava Kunjathur, S, Majeed, A, Malik, P, Mehndiratta, M, Menezes, R, Mohammad, Y, Mohammed, S, Mokdad, A, Moni, M, Nagel, G, Naveed, M, Nayak, V, Nguyen, C, Nguyen, H, Nunez-Samudio, V, Olagunju, A, Ostroff, S, Otstavnov, N, Owolabi, M, Pashazadeh Kan, F, Patel, U, Phillips, M, Piradov, M, Pond, C, Pottoo, F, Prada, S, Radfar, A, Rahim, F, Rana, J, Rashedi, V, Rawaf, S, Rawaf, D, Reinig, N, Renzaho, A, Rezaei, N, Rezapour, A, Romoli, M, Roshandel, G, Sachdev, P, Sahebkar, A, Sahraian, M, Samaei, M, Saylan, M, Sha, F, Shaikh, M, Shibuya, K, Shigematsu, M, Shin, J, Shiri, R, Silva, D, Singh, J, Singhal, D, Skryabin, V, Skryabina, A, Soheili, A, Sotoudeh, H, Spurlock, E, Szoeke, C, Tabares-Seisdedos, R, Taddele, B, Tovani-Palone, M, Tsegaye, G, Vacante, M, Venketasubramanian, N, Vidale, S, Vlassov, V, Vu, G, Wang, Y, Weiss, J, Weldemariam, A, Westerman, R, Wimo, A, Winkler, A, Wu, C, Yadollahpour, A, Yesiltepe, M, Yonemoto, N, Yu, C, Zastrozhin, M, Zastrozhina, A, Zhang, Z, Murray, C, and Vos, T

Subjects
Gerontology, Male, Computer applications to medicine. Medical informatics, Population Dynamics, R858-859.7, Global health, Health Informatics, Sample (statistics), MINI-MENTAL-STATE, Logistic regression, DISEASE, Validity, Item response theory, GBD 2019 Dementia Collaborators, medicine, Prevalence, Dementia, Humans, Neuropsychological assessment, Longitudinal Studies, Aged, 80 and over, Retirement, Science & Technology, medicine.diagnostic_test, Health Policy, 1103 Clinical Sciences, Cognition, NEUROPSYCHOLOGICAL ASSESSMENT, medicine.disease, Computer Science Applications, Cognitive test, Algorithm, 0806 Information Systems, Female, Psychology, Life Sciences & Biomedicine, Medical Informatics, Algorithms, Research Article
Abstract

BackgroundData sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from nationally representative surveys allow for the development of algorithms for the prediction of dementia prevalence nationally.MethodsUsing cognitive testing data and data on functional limitations from Wave A (2001–2003) of the ADAMS study (n = 744) and the 2000 wave of the HRS study (n = 6358) we estimated a two-dimensional item response theory model to calculate cognition and function scores for all individuals over 70. Based on diagnostic information from the formal clinical adjudication in ADAMS, we fit a logistic regression model for the classification of dementia status using cognition and function scores and applied this algorithm to the full HRS sample to calculate dementia prevalence by age and sex.ResultsOur algorithm had a cross-validated predictive accuracy of 88% (86–90), and an area under the curve of 0.97 (0.97–0.98) in ADAMS. Prevalence was higher in females than males and increased over age, with a prevalence of 4% (3–4) in individuals 70–79, 11% (9–12) in individuals 80–89 years old, and 28% (22–35) in those 90 and older.ConclusionsOur model had similar or better accuracy as compared to previously reviewed algorithms for the prediction of dementia prevalence in HRS, while utilizing more flexible methods. These methods could be more easily generalized and utilized to estimate dementia prevalence in other national surveys.

Published
2021

20. Carga global, regional y nacional de neurológicas. Desórdenes, 1990-2016: un análisis sistemático para el Global Estudio de la carga de enfermedad 2016

Author

Feigin V, Nichols E, Alam T, Bannick M, Beghi E, Blake N, Culpepper W, Dorsey E, Elbaz A, Ellenbogen R, Fisher J, Fitzmaurice C, Giussani G, Glennie L, James S, Johnson C, Kassebaum N, Logroscino G, Marin B, Mountjoy-Venning W, Nguyen M, Ofori-Asenso R, Patel A, Piccininni M, Roth G, Steiner T, Stovner L, Szoeke C, Theadom A, Vollset S, Wallin M, Wright C, Zunt J, Abbasi N, Abd-Allah F, Abdelalim A, Abdollahpour I, Aboyans V, Abraha H, Acharya D, Adamu A, Adebayo O, Adeoye A, Adsuar J, Afarideh M, Agrawal S, Ahmadi A, Ahmed M, Aichour A, Aichour I, Aichour M, Akinyemi R, Akseer N, Al-Eyadhy A, Salman R, Alahdab F, Alene K, Aljunid S, Altirkawi K, Alvis-Guzman N, Anber N, Antonio C, Arabloo J, Aremu O, Arnlov J, Asayesh H, Asghar R, Atalay H, Awasthi A, Quintanilla B, Ayuk T, Badawi A, Banach M, Banoub J, Barboza M, Barker-Collo S, Barnighausen T, Baune B, Bedi N, Behzadifar M, Bejot Y, Bekele B, Belachew A, Bennett D, Bensenor I, Berhane A, Beuran M, Bhattacharyya K, Bhutta Z, Biadgo B, Bijani A, Bililign N, Bin Sayeed M, Blazes C, Brayne C, Butt Z, Campos-Nonato I, Cantu-Brito C, Car M, Cardenas R, Carrero J, Carvalho F, Castaneda-Orjuela C, Castro F, Catala-Lopez F, Cerin E, Chaiah Y, Chang J, Chatziralli I, Chiang P, Christensen H, Christopher D, Cooper C, Cortesi P, Costa V, Criqui M, Crowe C, Damasceno A, Daryani A, De la Cruz-Gongora V, De la Hoz F, De Leo D, Degefa M, Demoz G, Deribe K, Dharmaratne S, Diaz D, Dinberu M, Djalalinia S, Doku D, Dubey M, Dubljanin E, Duken E, Edvardsson D, El-Khatib Z, Endres M, Endries A, Eskandarieh S, Esteghamati A, Esteghamati S, Farhadi F, Faro A, Farzadfar F, Farzaei M, Fatima B, Fereshtehnejad S, Fernandes E, Feyissa G, Filip I, Fischer F, Fukumoto T, Ganji M, Gankpe F, Garcia-Gordillo M, Gebre A, Gebremichael T, Gelaw B, Geleijnse J, Geremew D, Gezae K, Ghasemi-Kasman M, Gidey M, Gill P, Gill T, Gnedovskaya E, Goulart A, Grada A, Grosso G, Guo Y, Gupta R, Haagsma J, Hagos T, Haj-Mirzaian A, Hamadeh R, Hamidi S, Hankey G, Hao Y, Haro J, Hassankhani H, Hassen H, Havmoeller R, Hay S, Hegazy M, Heidari B, Henok A, Heydarpour F, Hoang C, Hole M, Rad E, Hosseini S, Hu G, Igumbor E, Ilesanmi O, Irvani S, Islam S, Jakovljevic M, Javanbakht M, Jha R, Jobanputra Y, Jonas J, Jozwiak J, Jurisson M, Kahsay A, Kalani R, Kalkonde Y, Kamil T, Kanchan T, Karami M, Karch A, Karimi N, Kasaeian A, Kassa T, Kassa Z, Kaul A, Kefale A, Keiyoro P, Khader Y, Khafaie M, Khalil I, Khan E, Khang Y, Khazaie H, Kiadaliri A, Kiirithio D, Kim A, Kim D, Kim Y, Kisa A, Kokubo Y, Koyanagi A, Krishnamurthi R, Defo B, Bicer B, Kumar M, Lacey B, Lafranconi A, Lansingh V, Latifi A, Leshargie C, Li S, Liao Y, Linn S, Lo W, Lopez J, Lorkowski S, Lotufo P, Lucas R, Lunevicius R, Mackay M, Mahotra N, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta D, Manafi N, Mansournia M, Mantovani L, Marz W, Mashamba-Thompson T, Massenburg B, Mate K, McAlinden C, McGrath J, Mehta V, Meier T, Meles H, Melese A, Memiah P, Memish Z, Mendoza W, Mengistu D, Mengistu G, Meretoja A, Meretoja T, Mestrovic T, Miazgowski B, Miazgowski T, Miller T, Mini G, Mirrakhimov E, Moazen B, Mohajer B, Mezerji N, Mohammadi M, Mohammadi-Khanaposhtani M, Mohammadibakhsh R, Mohammadnia-Afrouzi M, Mohammed S, Mohebi F, Mokdad A, Monasta L, Mondello S, Moodley Y, Moosazadeh M, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Velasquez I, Morrison S, Mousavi S, Muhammed O, Muruet W, Musa K, Mustafa G, Naderi M, Nagel G, Naheed A, Naik G, Najafi F, Nangia V, Negoi I, Negoi R, Newton C, Ngunjiri J, Nguyen C, Nguyen L, Ningrum D, Nirayo Y, Nixon M, Norrving B, Noubiap J, Shiadeh M, Nyasulu P, Ogbo F, Oh I, Olagunju A, Olagunju T, Olivares P, Onwujekwe O, Oren E, Owolabi M, Mahesh P, Pakpour A, Pan W, Panda-Jonas S, Pandian J, Patel S, Pereira D, Petzold M, Pillay J, Piradov M, Polanczyk G, Polinder S, Postma M, Poulton R, Poustchi H, Prakash S, Prakash V, Qorbani M, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman M, Rajati F, Ram U, Ranta A, Rawaf D, Rawaf S, Reinig N, Reis C, Renzaho A, Resnikoff S, Rezaeian S, Rezai M, Gonzalez C, Roberts N, Roever L, Ronfani L, Roro E, Roshandel G, Rostami A, Sabbagh P, Sacco R, Sachdev P, Saddik B, Safari H, Safari-Faramani R, Safi S, Safiri S, Sagar R, Sahathevan R, Sahebkar A, Sahraian M, Salamati P, Zahabi S, Salimi Y, Samy A, Sanabria J, Santos I, Milicevic M, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant A, Sawhney M, Schneider I, Schottker B, Schwebel D, Seedat S, Sepanlou S, Shabaninejad H, Shafieesabet A, Shaikh M, Shakir R, Shams-Beyranvand M, Shamsizadeh M, Sharif M, Sharif-Alhoseini M, She J, Sheikh A, Sheth K, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Siabani S, Siddiqi T, Sigfusdottir I, Sigurvinsdottir R, Silberberg D, Silva J, Silveira D, Singh J, Sinha D, Skiadaresi E, Smith M, Sobaih B, Sobhani S, Soofi M, Soyiri I, Sposato L, Stein D, Stein M, Stokes M, Sufiyan M, Sykes B, Sylaja P, Tabares-Seisdedos R, Ao B, Tehrani-Banihashemi A, Temsah M, Temsah O, Thakur J, Thrift A, Topor-Madry R, Tortajada-Girbes M, Tovani-Palone M, Tran B, Tran K, Truelsen T, Tsadik A, Car L, Ukwaja K, Ullah I, Usman M, Uthman O, Valdez P, Vasankari T, Vasanthan R, Veisani Y, Venketasubramanian N, Violante F, Vlassov V, Vosoughi K, Vu G, Vujcic I, Wagnew F, Waheed Y, Wang Y, Weiderpass E, Weiss J, Whiteford H, Wijeratne T, Winkler A, Wiysonge C, Wolfe C, Xu G, Yadollahpour A, Yamada T, Yano Y, Yaseri M, Yatsuya H, Yimer E, Yip P, Yisma E, Yonemoto N, Yousefifard M, Yu C, Zaidi Z, Bin Zaman S, Zamani M, Zandian H, Zare Z, Zhang Y, Zodpey S, Naghavi M, Murray C, Vos T, GBD 2016 Neurology Collaborators, Bill & Melinda Gates Foundation, VU University medical center, Feigin V.L., Nichols E., Alam T., Bannick M.S., Beghi E., Blake N., Culpepper W.J., Dorsey E.R., Elbaz A., Ellenbogen R.G., Fisher J.L., Fitzmaurice C., Giussani G., Glennie L., James S.L., Johnson C.O., Kassebaum N.J., Logroscino G., Marin B., Mountjoy-Venning W.C., Nguyen M., Ofori-Asenso R., Patel A.P., Piccininni M., Roth G.A., Steiner T.J., Stovner L.J., Szoeke C.E.I., Theadom A., Vollset S.E., Wallin M.T., Wright C., Zunt J.R., Abbasi N., Abd-Allah F., Abdelalim A., Abdollahpour I., Aboyans V., Abraha H.N., Acharya D., Adamu A.A., Adebayo O.M., Adeoye A.M., Adsuar J.C., Afarideh M., Agrawal S., Ahmadi A., Ahmed M.B., Aichour A.N., Aichour I., Aichour M.T.E., Akinyemi R.O., Akseer N., Al-Eyadhy A., Al-Shahi Salman R., Alahdab F., Alene K.A., Aljunid S.M., Altirkawi K., Alvis-Guzman N., Anber N.H., Antonio C.A.T., Arabloo J., Aremu O., Arnlov J., Asayesh H., Asghar R.J., Atalay H.T., Awasthi A., Ayala Quintanilla B.P., Ayuk T.B., Badawi A., Banach M., Banoub J.A.M., Barboza M.A., Barker-Collo S.L., Barnighausen T.W., Baune B.T., Bedi N., Behzadifar M., Bejot Y., Bekele B.B., Belachew A.B., Bennett D.A., Bensenor I.M., Berhane A., Beuran M., Bhattacharyya K., Bhutta Z.A., Biadgo B., Bijani A., Bililign N., Bin Sayeed M.S., Blazes C.K., Brayne C., Butt Z.A., Campos-Nonato I.R., Cantu-Brito C., Car M., Cardenas R., Carrero J.J., Carvalho F., Castaneda-Orjuela C.A., Castro F., Catala-Lopez F., Cerin E., Chaiah Y., Chang J.-C., Chatziralli I., Chiang P.P.-C., Christensen H., Christopher D.J., Cooper C., Cortesi P.A., Costa V.M., Criqui M.H., Crowe C.S., Damasceno A.A.M., Daryani A., De la Cruz-Gongora V., De La Hoz F.P., De Leo D., Degefa M.G., Demoz G.T., Deribe K., Dharmaratne S.D., Diaz D., Dinberu M.T., Djalalinia S., Doku D.T., Dubey M., Dubljanin E., Duken E.E., Edvardsson D., El-Khatib Z., Endres M., Endries A.Y., Eskandarieh S., Esteghamati A., Esteghamati S., Farhadi F., Faro A., Farzadfar F., Farzaei M.H., Fatima B., Fereshtehnejad S.-M., Fernandes E., Feyissa G.T., Filip I., Fischer F., Fukumoto T., Ganji M., Gankpe F.G., Garcia-Gordillo M.A., Gebre A.K., Gebremichael T.G., Gelaw B.K., Geleijnse J.M., Geremew D., Gezae K.E., Ghasemi-Kasman M., Gidey M.Y., Gill P.S., Gill T.K., Gnedovskaya E.V., Goulart A.C., Grada A., Grosso G., Guo Y., Gupta R., Haagsma J.A., Hagos T.B., Haj-Mirzaian A., Hamadeh R.R., Hamidi S., Hankey G.J., Hao Y., Haro J.M., Hassankhani H., Hassen H.Y., Havmoeller R., Hay S.I., Hegazy M.I., Heidari B., Henok A., Heydarpour F., Hoang C.L., Hole M.K., Homaie Rad E., Hosseini S.M., Hu G., Igumbor E.U., Ilesanmi O.S., Irvani S.S.N., Islam S.M.S., Jakovljevic M., Javanbakht M., Jha R.P., Jobanputra Y.B., Jonas J.B., Jozwiak J.J., Jurisson M., Kahsay A., Kalani R., Kalkonde Y., Kamil T.A., Kanchan T., Karami M., Karch A., Karimi N., Kasaeian A., Kassa T.D., Kassa Z.Y., Kaul A., Kefale A.T., Keiyoro P.N., Khader Y.S., Khafaie M.A., Khalil I.A., Khan E.A., Khang Y.-H., Khazaie H., Kiadaliri A.A., Kiirithio D.N., Kim A.S., Kim D., Kim Y.-E., Kim Y.J., Kisa A., Kokubo Y., Koyanagi A., Krishnamurthi R.V., Kuate Defo B., Kucuk Bicer B., Kumar M., Lacey B., Lafranconi A., Lansingh V.C., Latifi A., Leshargie C.T., Li S., Liao Y., Linn S., Lo W.D., Lopez J.C.F., Lorkowski S., Lotufo P.A., Lucas R.M., Lunevicius R., Mackay M.T., Mahotra N.B., Majdan M., Majdzadeh R., Majeed A., Malekzadeh R., Malta D.C., Manafi N., Mansournia M.A., Mantovani L.G., Marz W., Mashamba-Thompson T.P., Massenburg B.B., Mate K.K.V., McAlinden C., McGrath J.J., Mehta V., Meier T., Meles H.G., Melese A., Memiah P.T.N., Memish Z.A., Mendoza W., Mengistu D.T., Mengistu G., Meretoja A., Meretoja T.J., Mestrovic T., Miazgowski B., Miazgowski T., Miller T.R., Mini G.K., Mirrakhimov E.M., Moazen B., Mohajer B., Mohammad Gholi Mezerji N., Mohammadi M., Mohammadi-Khanaposhtani M., Mohammadibakhsh R., Mohammadnia-Afrouzi M., Mohammed S., Mohebi F., Mokdad A.H., Monasta L., Mondello S., Moodley Y., Moosazadeh M., Moradi G., Moradi-Lakeh M., Moradinazar M., Moraga P., Moreno Velasquez I., Morrison S.D., Mousavi S.M., Muhammed O.S., Muruet W., Musa K.I., Mustafa G., Naderi M., Nagel G., Naheed A., Naik G., Najafi F., Nangia V., Negoi I., Negoi R.I., Newton C.R.J., Ngunjiri J.W., Nguyen C.T., Nguyen L.H., Ningrum D.N.A., Nirayo Y.L., Nixon M.R., Norrving B., Noubiap J.J., Nourollahpour Shiadeh M., Nyasulu P.S., Ogbo F.A., Oh I.-H., Olagunju A.T., Olagunju T.O., Olivares P.R., Onwujekwe O.E., Oren E., Owolabi M.O., A M.P., Pakpour A.H., Pan W.-H., Panda-Jonas S., Pandian J.D., Patel S.K., Pereira D.M., Petzold M., Pillay J.D., Piradov M.A., Polanczyk G.V., Polinder S., Postma M.J., Poulton R., Poustchi H., Prakash S., Prakash V., Qorbani M., Radfar A., Rafay A., Rafiei A., Rahim F., Rahimi-Movaghar V., Rahman M., Rahman M.H.U., Rahman M.A., Rajati F., Ram U., Ranta A., Rawaf D.L., Rawaf S., Reinig N., Reis C., Renzaho A.M.N., Resnikoff S., Rezaeian S., Rezai M.S., Rios Gonzalez C.M., Roberts N.L.S., Roever L., Ronfani L., Roro E.M., Roshandel G., Rostami A., Sabbagh P., Sacco R.L., Sachdev P.S., Saddik B., Safari H., Safari-Faramani R., Safi S., Safiri S., Sagar R., Sahathevan R., Sahebkar A., Sahraian M.A., Salamati P., Salehi Zahabi S., Salimi Y., Samy A.M., Sanabria J., Santos I.S., Santric Milicevic 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Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Lee Kong Chian School of Medicine (LKCMedicine), Clinicum, Department of Neurosciences, Neurologian yksikkö, Department of Surgery, University of Helsinki, II kirurgian klinikka, and HUS Comprehensive Cancer Center

Subjects
Dánarmein, Male, Epidemiology, Diseases, Malalties cerebrals, Global Burden of Disease, Disability Evaluation, 0302 clinical medicine, Case fatality rate, Psychology, Konur, Cause of death, Aged, 80 and over, education.field_of_study, Incidence, Men, Taugavísindi, ddc, 3. Good health, Sálfræði, World health, Muerte, Neurology, GBD 2016 Neurology Collaborators, Brain diseases, Quality-Adjusted Life Years, Alzheimer disease, Carga global de enfermedades, Nervous system, medicine.medical_specialty, Global burden of diseases, Lífsgæði, Article, 03 medical and health sciences, Health Sciences, Humans, Women, education, Trastornos neurológicos, VLAG, Aged, Science & Technology, 3112 Neurosciences, Global Burden of Diseases, 030104 developmental biology, Years of potential life lost, Επιστήμες Υγείας, Dementia, Human medicine, Neurosciences & Neurology, Neurology (clinical), Clinical Medicine, 1109 Neurosciences, Neurological disorders, 030217 neurology & neurosurgery, dementia, RC, 0301 basic medicine, Pediatrics, Dánartíðni, Nutrition and Disease, 3124 Neurology and psychiatry, Disease Study, Taugasjúkdómar, Risk Factors, Voeding en Ziekte, Cause of Death, Global health, Prevalence, Causes of death, Public health, Mortality rate, Mental Disorders, Age Factors, Public Health, Global Health, Social Medicine and Epidemiology, Middle Aged, neurologic disease, Death, Lýðheilsa, Female, Life Sciences & Biomedicine, Quality of life, Adult, Population, Clinical Neurology, Sex Factors, medicine, Life Science, Disability-adjusted life year, Medicine [Science], Mortality, Psychiatry, Disease burden, Neurology & Neurosurgery, burden of neurological disorders, Faraldsfræði, business.industry, Klinisk medicin, Causes de la mort, 1103 Clinical Sciences, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Socioeconomic Factors, Karlar, global disease burden, Nervous System Diseases, Cause of death/trends, business
Abstract

Publisher´s version (útgefin grein)., Background Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders.Methods We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer’s disease and other dementias, Parkinson’s disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach.Findings Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247–308]) and second leading cause of deaths (9·0 million [8·8–9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34–44] and DALYs by 15% [9–21]) whereas their age-standardised rates decreased (deaths by 28% [26–30] and DALYs by 27% [24–31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6–46·1]), migraine (16·3% [11·7–20·8]), Alzheimer’s and other dementias (10·4% [9·0–12·1]), and meningitis (7·9% [6·6–10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05–1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5–90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer’s disease and other dementias (22·3% [11·8–35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8–17·5] of DALYs are risk attributable).Interpretation Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies., ROA is funded by the National Institutes of Health (U01HG010273). SMA acknowledges the International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia and Department of Health Policy and Management, Faculty of Public Health, Kuwait University for the approval and support to participate in this research project. AAw acknowledges funding support from Department of Science and Technology, Government of India, New Delhi, through INSPIRE Faculty scheme. TBA acknowledges partial funding from the Institute of Medical Research and Medicinal Plant Studies. ABa is supported by the Public Health Agency of Canada. TWB was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor Award, funded by the Federal Ministry of Education and Research. MSBS acknowledges support from the Australian Government Research and Training Program scholarship for a PhD degree at the Australian National University, Australia. JJC is supported by the Swedish Heart and Lung Foundation. FCar is supported by the European Union (FEDER funds POCI/01/0145/FEDER/007728 and POCI/01/0145/FEDER/007265) and National Funds (FCT/MEC, Fundacao para a Ciencia e a Tecnologia and Ministerio da Educacao e Ciencia) under the Partnership Agreements PT2020 UID/MULTI/04378/2013 and PT2020UID/QUI/50006/2013. EC is supported by an Australian Research Council Future Fellowship (FT3 140100085). KD is supported by a Wellcome Trust [Grant Number 201900] as part of his International Intermediate Fellowship. EF is supported by the European Union (FEDER funds POCI/01/0145/FEDER/007728 and POCI/01/0145/FEDER/007265) and National Funds (FCT/MEC, Fundacao para a Ciencia e a Tecnologia and Ministerio da Educacao e Ciencia) under the Partnership Agreements PT2020 UID/MULTI/04378/2013 and PT2020UID/QUI/50006/2013. SMSI is funded by the Institute for Physical Activity and Nutrition (IPAN), Deakin University and received funding from High Blood Pressure Research Council of Australia. YKa is a DBT/Wellcome Trust India Alliance Fellow in Public Health. YJK is supported by the Office of Research and Innovation at Xiamen University Malaysia. BL acknowledges funding from the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre. WDL is supported in part by U10NS086484 NINDS. SLo is funded by the German Federal Ministry of Education and Research (nutriCARD, grant agreement number 01EA1411A). RML is supported by a National Health and Medical Research Council (NHMRC) of Australia Senior Research Fellowship. AMa and the Imperial College London are grateful for support from the NW London NIHR Collaboration for Leadership in Applied Health Research and Care. JJM is supported by the Danish National Research Foundation (Niels Bohr Professorship), and the John Cade Fellowship (APP1056929) from NHMRC. TMei acknowledges additional institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD), Jena-Halle-Leipzig. IMV is supported by the Sistema Nacional de Investigacion (Panama). MOO is supported by SIREN U54 U54HG007479 and SIBS Genomics R01NS107900 grants. AMS was supported by a fellowship from the Egyptian Fulbright Mission Program. MMSM acknowledges the support from the Ministry of Education, Science and Technological Development, Republic of Serbia (contract no 175087). AShe is supported by Health Data Research UK. MBS' work on traumatic brain injury is supported by grants NIH U01 NS086090 (PI G Manley) from the National Institutes of Health (NIH) and DoD W81XWH-14-2-0176 (PI G Manley) from the United States Department of Defense. RTS is supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIIIFEDER. AGT was supported by a Fellowship from the NHMRC (Australia; 1042600. KBT acknowledges funding supports from the Maurice Wilkins Centre for Biodiscovery, Cancer Society of New Zealand, Health Research Council, Gut Cancer Foundation, and the University of Auckland. CY acknowledges support from the National Natural Science Foundation of China (grant number 81773552) and the Chinese NSFC International Cooperation and Exchange Program (grant number 71661167007)., "Peer Reviewed"

Published
2019

22. Effect of the marine environment on reinforced concrete durability in Iberoamerican countries: DURACON project/CYTED

Author

Trocónis de Rincón, O., Sánchez, M., Millano, V., Fernández, R., de Partidas, E.A., Andrade, C., Martínez, I., Castellote, M., Barboza, M., Irassar, F., Montenegro, J.C., Vera, R., Carvajal, A.M., de Gutiérrez, R.M., Maldonado, J., Guerrero, C., Saborio-Leiva, E., Villalobos, A.C., Tres-Calvo, G., Torres-Acosta, A., Pérez-Quiroz, J., Martínez-Madrid, M., Almeraya-Calderón, F., Castro-Borges, P., Moreno, E.I., Pérez-López, T., Salta, M., de Melo, A.P., Rodríguez, G., Pedrón, Miguel, and Derrégibus, M.

Published
2007
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28. The Use of Polarization Resistance to Evaluate the Environmental Impact on Reinforced Concrete Structures in the Iberoamerican Region

Author

Troconis de Rincón, Oladis M., primary, Andrade, Carmen, additional, Barboza, M, additional, Irassar, F, additional, Montenegro, J C., additional, Vera, R, additional, Carvajal, A M., additional, de Gutierrez, R M., additional, Delvasto, S, additional, Saborio, E, additional, Torres-Acosta, A. A., additional, Perez-Quiroz, J, additional, Almeraya, Facundo, additional, Castro-Borges, Pedro, additional, Moreno, E I., additional, Perez-Lopez, T, additional, Martinez, W, additional, Salta, M, additional, de Melo, A P., additional, Martinez, I, additional, Castellote, M, additional, Rodriguez, G, additional, Derregibus, M, additional, Sanchez, M, additional, de Partidas, E A., additional, and Millano, Valentina, additional

Published
2019
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29. Global, regional, and national burden of epilepsy, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Beghi, E, Giussani, G, Abd-Allah, F, Abdela, J, Abdelalim, A, Abraha, H, Adib, M, Agrawal, S, Alandab, F, Awasthi, A, Ayele, Y, Barboza, M, Belachew, A, Biadgo, B, Bijani, A, Bitew, H, Carvalho, F, Chaiah, Y, Daryani, A, Do, H, Dubey, M, Endries, A, Eskandarieh, S, Faro, A, Farzadfar, F, Fereshtehnejad, S, Fernandes, E, Fijabi, D, Filip, I, Fischer, F, Gebre, A, Tsadik, A, Gebremichael, T, Gezae, K, Ghasemi-Kasman, M, Weldegwergs, K, Degefa, M, Gnedovskaya, E, Hagos, T, Haj-Mirzaian, A, Hassen, H, Hay, S, Jakovljevic, M, Kasaeian, A, Kassa, T, Khader, Y, Khalil, I, Khan, E, Khubchandani, J, Kisa, A, Krohn, K, Kulkarni, C, Nirayo, Y, Mackay, M, Majdan, M, Majeed, A, Manhertz, T, Mehndiratta, M, Mekonen, T, Meles, H, Mengistu, G, Mohammed, S, Naghavi, M, Mokdad, A, Mustafa, G, Irvani, S, Nguyen, L, Nichols, E, Nixon, M, Ogbo, F, Olagunju, A, Olagunju, T, Owolabi, M, Philips, M, Pinilla-Monsalve, G, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Reinig, N, Sachdev, P, Safari, H, Safari, S, Safiri, S, Sahraian, M, Samy, A, Sarvi, S, Sawhney, M, Shaikh, M, Sharif, M, Singh, G, Smith, M, Szoeke, C, Tabares-Seisdedos, R, Temsah, M, Temsah, O, Tortajada-Girbes, M, Tran, B, Tsegay, A, Ullah, I, Venketasubramanian, N, Westerman, R, Winkler, A, Yimer, E, Yonemoto, N, Feigin, V, Vos, T, Murray, C, and GBD 2016 Epilepsy Collaborators

Abstract

Background Seizures and their consequences contribute to the burden of epilepsy because they can cause health loss (premature mortality and residual disability). Data on the burden of epilepsy are needed for health-care planning and resource allocation. The aim of this study was to quantify health loss due to epilepsy by age, sex, year, and location using data from the Global Burden of Diseases, Injuries, and Risk Factors Study. Methods We assessed the burden of epilepsy in 195 countries and territories from 1990 to 2016. Burden was measured as deaths, prevalence, and disability-adjusted life-years (DALYs; a summary measure of health loss defined by the sum of years of life lost [YLLs] for premature mortality and years lived with disability), by age, sex, year, location, and Socio-demographic Index (SDI; a compound measure of income per capita, education, and fertility). Vital registrations and verbal autopsies provided information about deaths, and data on the prevalence and severity of epilepsy largely came from population representative surveys. All estimates were calculated with 95% uncertainty intervals (UIs). Findings In 2016, there were 45.9 million (95% UI 39. 9-54 .6) patients with all-active epilepsy (both idiopathic and secondary epilepsy globally; age-standardised prevalence 621.5 per 100 000 population; 540.1-737.0). Of these patients, 24.0 million (20.4-27.7) had active idiopathic epilepsy (prevalence 3 26 7 per 100 000 population; 278.4-378.1). Prevalence of active epilepsy increased with age, with peaks at 5-9 years (374.8 [280 .1-490 .0]) and at older than 80 years of age (545.1 [444. 2-652. 0]). Age-standardised prevalence of active idiopathic epilepsy was 329.3 per 100 000 population (280.3-381. 2) in men and 318.9 per 100 000 population (271.1-369.4) in women, and was similar among SDI quintiles. Global age-standardised mortality rates of idiopathic epilepsy were 1.74 per 100 000 population (1.64-1.87; 1.40 per 100 000 population [1. 23-1.54] for women and 2.09 per 100 000 population [1.96-2.25] for men). Age-standardised DALYs were 182.6 per 100 000 population (149. 0-223 .5; 163.6 per 100 000 population [130.6-204.3] for women and 201.2 per 100 000 population [166. 9-241. 4] for men). The higher DALY rates in men were due to higher YLL rates compared with women. Between 1990 and 2016, there was a non-significant 6.0% (-4.0 to 16.7) change in the age-standardised prevalence of idiopathic epilepsy, but a significant decrease in age-standardised mortality rates (24.5% [10.8 to 31.8]) and age-standardised DALY rates (19.4% [9.0 to 27.6]). A third of the difference in age-standardised DALY rates between low and high SDI quintile countries was due to the greater severity of epilepsy in low-income settings, and two-thirds were due to a higher YLL rate in low SDI countries. Interpretation Despite the decrease in the disease burden from 1990 to 2016, epilepsy is still an important cause of disability and mortality. Standardised collection of data on epilepsy in population representative surveys will strengthen the estimates, particularly in countries for which we currently have no or sparse data and if additional data is collected on severity, causes, and treatment. Sizeable gains in reducing the burden of epilepsy might be expected from improved access to existing treatments in low-income countries and from the development of new effective drugs worldwide. Copyright (C) 2019 The Author(s). Published by Elsevier Ltd.

Published
2019

32. Deterioro del PATRIMONIO INDUSTRIAL: PATRIMONIO SUBESTIMADO DE LA CIUDAD DE GÓMEZ PALACIO.

Author

LUÉVANOS-SOTO, INOCENCIO, LUIS CAMPORREDONDO-REYES, FRANCISCO, and EDITH RODRÍGUEZ-BARBOZA, M. A.

Abstract

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Published
2021
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33. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author

Feigin, VL, Abajobir, AA, Abate, KH, Abd-Allah, F, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, AT, Ansari, H, Anwari, P, Arnlov, J, Asayesh, H, Asgedom, SW, Atey, TM, Avila-Burgos, L, Avokpaho, EFGA, Azarpazhooh, MR, Barac, A, Barboza, M, Barker-Collo, SL, Baernighausen, T, Bedi, N, Beghi, E, Bennett, DA, Bensenor, IM, Berhane, A, Betsu, BD, Bhaumik, S, Birlik, SM, Biryukov, S, Boneya, DJ, Bulto, LN, Carabin, H, Casey, D, Castaneda-Orjuela, CA, Catala-Lopez, F, Chen, H, Chitheer, AA, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, deVeber, GA, Dharmaratne, SD, Do, HP, Dokova, K, Dorsey, ER, Ellenbogen, RG, Eskandarieh, S, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Foreman, KJ, Geleijnse, JM, Gillum, RF, Giussani, G, Goldberg, EM, Gona, PN, Goulart, AC, Gugnani, HC, Gupta, R, Hachinski, V, Hamadeh, RR, Hambisa, M, Hankey, GJ, Hareri, HA, Havmoeller, R, Hay, SI, Heydarpour, P, Hotez, PJ, Jakovljevic, MMB, Javanbakht, M, Jeemon, P, Jonas, JB, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khoja, AT, Khubchandani, J, Kulkarni, C, Kim, D, Kim, YJ, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kumar, R, Kyu, HH, Larsson, A, Lavados, PM, Li, Y, Liang, X, Liben, ML, Lo, WD, Logroscino, G, Lotufo, PA, Loy, CT, Mackay, MT, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, LG, Massano, J, Mazidi, M, McAlinden, C, Mehata, S, Mehndiratta, MM, Memish, ZA, Mendoza, W, Mengistie, MA, Mensah, GA, Meretoja, A, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammadi, A, Mohammed, KE, Mohammed, S, Mokdad, AH, Moradi-Lakeh, M, Velasquez, IM, Musa, KI, Naghavi, M, Ngunjiri, JW, Nguyen, CT, Nguyen, G, Nguyen, QL, Nguyen, TH, Nichols, E, Ningrum, DN, Nong, VM, Norrving, B, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Parmar, PG, Pereira, DM, Petzold, M, Phillips, MR, Piradov, MA, Poulton, RG, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rahman, MH, Rai, RK, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, AMN, Rezai, MS, Roth, GA, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, MA, Samy, AM, Santalucia, P, Santos, IS, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, MI, Sepanlou, SG, Shaikh, MA, Shakir, R, Shamsizadeh, M, Sheth, KN, Shigematsu, M, Shoman, H, Silva, DA, Smith, M, Sobngwi, E, Sposato, LA, Stanaway, JD, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Szoeke, CEI, Tabares-Seisdedos, R, Tanne, D, Theadom, AM, Thrift, AG, Tirschwell, DL, Topor-Madry, R, Tran, BX, Truelsen, T, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Wadilo, F, Wakayo, T, Wallin, MT, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Xavier, D, Xu, G, Yano, Y, Yimam, HH, Yonemoto, N, Yu, C, Zaidi, Z, Zaki, MES, Zunt, JR, Murray, CJL, Vos, T, Disorders, GBDN, Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, and Vos, T

Subjects
Cost of Illness, Nutrition and Disease, GBD, Voeding en Ziekte, Humans, Life Science, Quality-Adjusted Life Years, Nervous System Diseases, Global Health, Article, Global Burden of Disease, VLAG
Abstract

Background Comparable data on the global and country-specific burden of neurological disorders and their trends are\ud crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors\ud (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians\ud specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to\ud neurological disorders in 2015 and its relationship with country development level.\ud \ud Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years\ud of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification\ud have been previously spread across multiple disease groupings. The more inclusive grouping of neurological\ud disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer’s disease and other dementias, Parkinson’s\ud disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse\ud headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed\ud results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and\ud fertility, to identify patterns associated with development and how countries fare against expected outcomes relative\ud to their level of development.\ud \ud Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval\ud (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4\ud [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tensiontype\ud headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication\ud overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer’s disease and other dementias (46·0\ud [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by\ud 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of\ud death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were\ud responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in\ud countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the\ud changes in DALY rates of neurological disorders with development were driven by changes in YLLs.\ud \ud Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden\ud of neurological disorders has increased substantially over the past 25 years because of expanding population numbers\ud and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders.\ud The number of patients who will need care by clinicians with expertise in neurological conditions will continue to\ud grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate\ud services.\ud \ud Funding Bill & Melinda Gates Foundation.

Published
2017

44. Visual Defects Recovery After Posterior Cerebral Artery Ischemic Stroke : Predictors of Prognosis

Author

Cárdenas Belaunzarán, Jorge, Cano Nigenda, V., González Olhovich, I., Barboza, M. A., and Arauz, A.

Abstract

Background and Aims:Few studies have investigated the evolution of visual defects after a posterior cerebral artery (PCA) ischemic stroke (IS). Our objective was to evaluate the frequency of visual defects (VD) recovery after a PCA IS and to identify predictors of prognosis.Methods:Consecutive adult patients with PCA-IS were included retrospectively. We include 101 patients with VD secondary to a confirmed PCA IS.All patients with a basal visual kinetic perimetric evaluation (VKPE) between 2002 and 2017 were included. To assess visual defect recovery, patients underwent a VKPE at least 3 months after the initial VKPE (1 to 205 months, mean 22 months). Logistic regression analysis was conducted to determine visual recovery predictors after stroke, by analyzing demographic characteristics, stroke etiology (TOAST classification) and perimetric visual pattern. Results:We studied 101 patients (mean age 49u00b116 years (54.5% women)). The most frequent risk factors were diabetes (17%) and hypertension (40%). According to TOAST, undetermined etiology was found in 30%. After a median of 33 months of follow-up, significant spontaneous visual improvement was seen in 16.8% of patients, whereas 79% remained without changes. Age

Published
2017

45. Anaemia at admission is associated with poor clinical outcome in cerebral venous thrombosis.

Author

Silvis, S. M., Reinstra, E., Hiltunen, S., Lindgren, E., Heldner, M. R., Mansour, M., Ghiasian, M., Jood, K., Zuurbier, S. M., Groot, A. E., Arnold, M., Barboza, M. A., Arauz, A., Putaala, J., Tatlisumak, T., and Coutinho, J. M.

Subjects
CEREBRAL embolism & thrombosis, VENOUS thrombosis, ANEMIA, LOGISTIC regression analysis, SINUS thrombosis
Abstract

Background and purpose: Anaemia is associated with poor clinical outcome after ischaemic and haemorrhagic stroke. The association between anaemia and outcome in patients with cerebral venous thrombosis (CVT) was examined. Methods: Consecutive adult patients with CVT were included from seven centres. Anaemia at admission was scored according to World Health Organization definitions. Poor clinical outcome was defined as a modified Rankin Scale score 3–6 at last follow‐up. A multiple imputation procedure was applied for handling missing data in the multivariable analysis. Using binary logistic regression analysis, adjustments were made for age, sex, cancer and centre of recruitment (model 1). In a secondary analysis, adjustments were additionally made for coma, intracerebral haemorrhage, non‐haemorrhagic lesion and deep venous system thrombosis (model 2). In a sensitivity analysis, patients with cancer were excluded. Results: Data for 952 patients with CVT were included, 22% of whom had anaemia at admission. Patients with anaemia more often had a history of cancer (17% vs. 7%, P < 0.001) than patients without anaemia. Poor clinical outcome (21% vs. 11%, P < 0.001) and mortality (11% vs. 6%, P = 0.07) were more common amongst patients with anaemia. After adjustment, anaemia at admission increased the risk of poor outcome [adjusted odds ratio (aOR) 2.4, 95% confidence interval (CI) 1.5–3.7, model 1]. Model 2 revealed comparable results (aOR 1.9, 95% CI 1.2–3.2), as did the sensitivity analysis excluding patients with cancer (aOR 2.3, 95% CI 1.3–3.8, model 1). Conclusion: The risk of poor clinical outcome is doubled in CVT patients presenting with anaemia at admission. [ABSTRACT FROM AUTHOR]

Published
2020
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48. Influence of temperature and excitation procedure on the athermal behavior of Nd3+-doped phosphate glass: Thermal lens, interferometric, and calorimetric measurements.

Author

Astrath, N. G. C., Barboza, M. J., Medina, A. N., Bento, A. C., Baesso, M. L., Silva, W. F., Jacinto, C., and Catunda, T.

Subjects
*GLASS, *PHOSPHATES, *PHYSIOLOGICAL effects of temperature, *INTERFEROMETRY, *CALORIMETRY, *NEODYMIUM, *TEMPERATURE measurements, *SPECTROMETRY
Abstract

In this work, thermal and optical properties of the commercial Q-98 neodymium-doped phosphate glass have been measured at low temperature, from 50 to 300 K. The time-resolved thermal lens spectrometry together with the optical interferometry and the thermal relaxation calorimetry methods were used to investigate the glass athermal characteristics described by the temperature coefficient of the optical path length change, ds/dT. The thermal diffusivity was also determined, and the temperature coefficients of electronic polarizability, linear thermal expansion, and refractive index were calculated and used to explain ds/dT behavior. ds/dT measured via thermal lens method was found to be zero at 225 K. The results provided a complete characterization of the thermo-optical properties of the Q-98 glass, which may be useful for those using this material for diode-pumped solid-state lasers. [ABSTRACT FROM AUTHOR]

Published
2009
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49. Comparison of growth methods and biological activities of brazilian marine Streptomyces

Author

Granato, A. C., Barboza, M., Romano, L. H., Hernandez, I. L. C., Hokka, C. O., Oliveira, J. H. H. L., Montenegro, R. C., and Sousa, C. P. de

Subjects
Cultivation, Biological activity, lcsh:TP155-156, lcsh:Chemical engineering, Marine Streptomyces
Abstract

The present work describes the study of the growth and the cytotoxic and antitumor activities of the extracts of the marine microorganisms Streptomyces acrymicini and Streptomyces cebimarensis, the latter a new strain. Both microorganisms were collected from coastal marine sediments of the north coast of São Paulo state. Growth was performed in a shaker and in a bioreactor using Gym medium and the broths of both microorganisms were extracted with ethyl acetate and n-butanol. Three extracts, two organic and one aqueous, from each microorganism were obtained and tested for cytotoxic and antitumor activity using the SF-295 (Central Nervous System), HCT-8 (Colon) cell lines, and the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) method. The growth methods were compared and show that, although the shaker presented reasonable results, the bioreactor represents the best choice for growth of these microorganisms. The biological activity of the different extracts was evaluated and it was demonstrated that the growth methodology may influence the secondary metabolite production and the biological activity.

Published
2013

50. Embolic strokes of undetermined source: prevalence and patient features in the esus global registry

Author

Perera, K. S., Vanassche, T., Bosch, J., Giruparajah, M., Swaminathan, B., Mattina, K. R., Berkowitz, S. D., Arauz, A., O'Donnell, M. J., Ameriso, S. F., Hankey, G. J., Yoon, B. -W., Lavallee, P., Cunha, L., Shamalov, N., Brouns, R., Gagliardi, R. J., Kasner, S. E., Pieroni, A., Vermehren, P., Kitagawa, K., Wang, Y., Muir, K., Coutinho, J., Vastagh, I., Connolly, S. J., Hart, R. G., Czeto, K., Kahn, M., Gomez Schneider, M., Pujol Lereis, V., Hawkes, M., Pertierra, L., Perera, N., De Smedt, A., Van Dyck, R., Van Hooff, R. J., Yperzeele, L., Baptista Gagliardi, V. D., Cerqueir, L. G., Yang, X., Chen, W., Amarenco, P., Guidoux, C., Ringleb, P. A., Bereczki, D., Canavan, M., Toni, D., Anzini, A., Colosimo, C., De Michele, M., Di Mascio, M. T., Durastanti, L., Falcou, A., Fausti, S., Mancini, A., Mizumo, S., Uchiyama, S., Kim, C. K., Jung, S., Kim, Y., Kim, J. A., J. Y., Jo, Barboza, M., Quiroz-Compean, A., Colin, J., Nederkoorn, P. J., Roxas, A., Perez Marianito, V., Santo, G., Silva, F., Sargento-Freitas, J., Coelho, J., Kustova, M., Meshkova, K., Williams, G., Siegler, J., Zhang, C., Gallatti, N., Kruszewski, M., Clinical sciences, Neuroprotection & Neuromodulation, ANS - Neurovascular Disorders, Neurology, ACS - Amsterdam Cardiovascular Sciences, and ESUS Global Registry Investigators

Subjects
Male, medicine.medical_specialty, Internationality, Cross-sectional study, 030204 cardiovascular system & hematology, stroke-etiology, cerebral embolism, embolism, Atrial fibrillation, Cerebral embolism, Diagnostic evaluation, Embolism, Stroke, Stroke-etiology, Brain Ischemia, 03 medical and health sciences, ischemic-stroke, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Prevalence, Humans, atrial fibrillation, Registries, cardiovascular diseases, Aged, Retrospective Studies, Medicine(all), business.industry, International survey, Retrospective cohort study, Mean age, Middle Aged, diagnostic evaluation, medicine.disease, stroke, atrial-fibrillation, Cross-Sectional Studies, Neurology, stroke—etiology, Ischemic stroke, Cardiology, cryptogenic stroke, Female, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Background Recent evidence supports that most non-lacunar cryptogenic strokes are embolic. Accordingly, these strokes have been designated as embolic strokes of undetermined source (ESUS). Aims We undertook an international survey to characterize the frequency and clinical features of ESUS patients across global regions. Methods Consecutive patients hospitalized for ischemic stroke were retrospectively surveyed from 19 stroke research centers in 19 different countries to collect patients meeting criteria for ESUS. Results Of 2144 patients with recent ischemic stroke, 351 (16%, 95% CI 15% to 18%) met ESUS criteria, similar across global regions (range 16% to 21%), and an additional 308 (14%) patients had incomplete evaluation required for ESUS diagnosis. The mean age of ESUS patients (62 years; SD = 15) was significantly lower than the 1793 non-ESUS ischemic stroke patients (68 years, p ≤ 0.001). Excluding patients with atrial fibrillation ( n = 590, mean age = 75 years), the mean age of the remaining 1203 non-ESUS ischemic stroke patients was 64 years ( p = 0.02 vs. ESUS patients). Among ESUS patients, hypertension, diabetes, and prior stroke were present in 64%, 25%, and 17%, respectively. Median NIHSS score was 4 (interquartile range 2–8). At discharge, 90% of ESUS patients received antiplatelet therapy and 7% received anticoagulation. Conclusions This cross-sectional global sample of patients with recent ischemic stroke shows that one-sixth met criteria for ESUS, with additional ESUS patients likely among those with incomplete diagnostic investigation. ESUS patients were relatively young with mild strokes. Antiplatelet therapy was the standard antithrombotic therapy for secondary stroke prevention in all global regions.

Published
2016

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