TY  - JOUR
A1  - Bousquet, J.
A1  - Farrell, J.
A1  - Crooks, G.
A1  - Hellings, P.
A1  - Bel, E. H.
A1  - Bewick, M.
A1  - Chavannes, N. H.
A1  - Correia de Sousa, J.
A1  - Cruz, A. A.
A1  - Haahtela, T.
A1  - Joos, G.
A1  - Khaltaev, N.
A1  - Malva, J.
A1  - Muraro, A.
A1  - Nogues, M.
A1  - Palkonen, S.
A1  - Pedersen, S.
A1  - Robalo-Cordeiro, C.
A1  - Samolinski, B.
A1  - Strandberg, T.
A1  - Valiulis, A.
A1  - Yorgancioglu, A.
A1  - Zuberbier, T.
A1  - Bedbrook, A.
A1  - Aberer, W.
A1  - Adachi, M.
A1  - Agusti, A.
A1  - Akdis, C. A.
A1  - Akdis, M.
A1  - Ankri, J.
A1  - Alonso, A.
A1  - Annesi-Maesano, I.
A1  - Ansotegui, I. J.
A1  - Anto, J. M.
A1  - Arnavielhe, S.
A1  - Arshad, H.
A1  - Bai, C.
A1  - Baiardini, I.
A1  - Bachert, C.
A1  - Baigenzhin, A. K.
A1  - Barbara, C.
A1  - Bateman, E. D.
A1  - Beghé, B.
A1  - Ben Kheder, A.
A1  - Bennoor, K. S.
A1  - Benson, M.
A1  - Bergmann, K. C.
A1  - Bieber, T.
A1  - Bindslev-Jensen, C.
A1  - Bjermer, L.
A1  - Blain, H.
A1  - Blasi, F.
A1  - Boner, A. L.
A1  - Bonini, M.
A1  - Bonini, S.
A1  - Bosnic-Anticevitch, S.
A1  - Boulet, L. P.
A1  - Bourret, R.
A1  - Bousquet, P. J.
A1  - Braido, F.
A1  - Briggs, A. H.
A1  - Brightling, C. E.
A1  - Brozek, J.
A1  - Buhl, R.
A1  - Burney, P. G.
A1  - Bush, A.
A1  - Caballero-Fonseca, F.
A1  - Caimmi, D.
A1  - Calderon, M. A.
A1  - Calverley, P. M.
A1  - Camargos, P. A. M.
A1  - Canonica, G. W.
A1  - Camuzat, T.
A1  - Carlsen, K. H.
A1  - Carr, W.
A1  - Carriazo, A.
A1  - Casale, T.
A1  - Cepeda Sarabia, A. M.
A1  - Chatzi, L.
A1  - Chen, Y. Z.
A1  - Chiron, R.
A1  - Chkhartishvili, E.
A1  - Chuchalin, A. G.
A1  - Chung, K. F.
A1  - Ciprandi, G.
A1  - Cirule, I.
A1  - Cox, L.
A1  - Costa, D. J.
A1  - Custovic, A.
A1  - Dahl, R.
A1  - Dahlen, S. E.
A1  - Darsow, U.
A1  - De Carlo, G.
A1  - De Blay, F.
A1  - Dedeu, T.
A1  - Deleanu, D.
A1  - De Manuel Keenoy, E.
A1  - Demoly, P.
A1  - Denburg, J. A.
A1  - Devillier, P.
A1  - Didier, A.
A1  - Dinh-Xuan, A. T.
A1  - Djukanovic, R.
A1  - Dokic, D.
A1  - Douagui, H.
A1  - Dray, G.
A1  - Dubakiene, R.
A1  - Durham, S. R.
A1  - Dykewicz, M. S.
A1  - El-Gamal, Y.
A1  - Emuzyte, R.
A1  - Fabbri, L. M.
A1  - Fletcher, M.
A1  - Fiocchi, A.
A1  - Fink Wagner, A.
A1  - Fonseca, J.
A1  - Fokkens, W. J.
A1  - Forastiere, F.
A1  - Frith, P.
A1  - Gaga, M.
A1  - Gamkrelidze, A.
A1  - Garces, J.
A1  - Garcia-Aymerich, J.
A1  - Gemicioğlu, B.
A1  - Gereda, J. E.
A1  - González Diaz, S.
A1  - Gotua, M.
A1  - Grisle, I.
A1  - Grouse, L.
A1  - Gutter, Z.
A1  - Guzmán, M. A.
A1  - Heaney, L. G.
A1  - Hellquist-Dahl, B.
A1  - Henderson, D.
A1  - Hendry, A.
A1  - Heinrich, J.
A1  - Heve, D.
A1  - Horak, F.
A1  - Hourihane, J. O’. B.
A1  - Howarth, P.
A1  - Humbert, M.
A1  - Hyland, M. E.
A1  - Illario, M.
A1  - Ivancevich, J. C.
A1  - Jardim, J. R.
A1  - Jares, E. J.
A1  - Jeandel, C.
A1  - Jenkins, C.
A1  - Johnston, S. L.
A1  - Jonquet, O.
A1  - Julge, K.
A1  - Jung, K. S.
A1  - Just, J.
A1  - Kaidashev, I.
A1  - Kaitov, M. R.
A1  - Kalayci, O.
A1  - Kalyoncu, A. F.
A1  - Keil, T.
A1  - Keith, P. K.
A1  - Klimek, L.
A1  - Koffi N’Goran, B.
A1  - Kolek, V.
A1  - Koppelman, G. H.
A1  - Kowalski, M. L.
A1  - Kull, I.
A1  - Kuna, P.
A1  - Kvedariene, V.
A1  - Lambrecht, B.
A1  - Lau, S.
A1  - Larenas‑Linnemann, D.
A1  - Laune, D.
A1  - Le, L. T. T.
A1  - Lieberman, P.
A1  - Lipworth, B.
A1  - Li, J.
A1  - Lodrup Carlsen, K.
A1  - Louis, R.
A1  - MacNee, W.
A1  - Magard, Y.
A1  - Magnan, A.
A1  - Mahboub, B.
A1  - Mair, A.
A1  - Majer, I.
A1  - Makela, M. J.
A1  - Manning, P.
A1  - Mara, S.
A1  - Marshall, G. D.
A1  - Masjedi, M. R.
A1  - Matignon, P.
A1  - Maurer, M.
A1  - Mavale‑Manuel, S.
A1  - Melén, E.
A1  - Melo‑Gomes, E.
A1  - Meltzer, E. O.
A1  - Menzies‑Gow, A.
A1  - Merk, H.
A1  - Michel, J. P.
A1  - Miculinic, N.
A1  - Mihaltan, F.
A1  - Milenkovic, B.
A1  - Mohammad, G. M. Y.
A1  - Molimard, M.
A1  - Momas, I.
A1  - Montilla‑Santana, A.
A1  - Morais‑Almeida, M.
A1  - Morgan, M.
A1  - Mösges, R.
A1  - Mullol, J.
A1  - Nafti, S.
A1  - Namazova‑Baranova, L.
A1  - Naclerio, R.
A1  - Neou, A.
A1  - Neffen, H.
A1  - Nekam, K.
A1  - Niggemann, B.
A1  - Ninot, G.
A1  - Nyembue, T. D.
A1  - O’Hehir, R. E.
A1  - Ohta, K.
A1  - Okamoto, Y.
A1  - Okubo, K.
A1  - Ouedraogo, S.
A1  - Paggiaro, P.
A1  - Pali‑Schöll, I.
A1  - Panzner, P.
A1  - Papadopoulos, N.
A1  - Papi, A.
A1  - Park, H. S.
A1  - Passalacqua, G.
A1  - Pavord, I.
A1  - Pawankar, R.
A1  - Pengelly, R.
A1  - Pfaar, O.
A1  - Picard, R.
A1  - Pigearias, B.
A1  - Pin, I.
A1  - Plavec, D.
A1  - Poethig, D.
A1  - Pohl, W.
A1  - Popov, T. A.
A1  - Portejoie, F.
A1  - Potter, P.
A1  - Postma, D.
A1  - Price, D.
A1  - Rabe, K. F.
A1  - Raciborski, F.
A1  - Radier Pontal, F.
A1  - Repka‑Ramirez, S.
A1  - Reitamo, S.
A1  - Rennard, S.
A1  - Rodenas, F.
A1  - Roberts, J.
A1  - Roca, J.
A1  - Rodriguez Mañas, L.
A1  - et al, 
T1  - Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)
JF  - Clinical and Translational Allergy
N2  - Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.
KW  - EIP on AHA
KW  - European Innovation Partnership on Active and Healthy Ageing
KW  - AIRWAYS ICPs
KW  - MACVIA
KW  - Scaling up
KW  - Chronic respiratory diseases
KW  - ARIA
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166874
VL  - 6
IS  - 29
ER  - 
TY  - JOUR
A1  - Bousquet, J.
A1  - Anto, J. M.
A1  - Akdis, M.
A1  - Auffray, C.
A1  - Keil, T.
A1  - Momas, I.
A1  - Postma, D. S.
A1  - Valenta, R.
A1  - Wickman, M.
A1  - Cambon-Thomsen, A.
A1  - Haahtela, T.
A1  - Lambrecht, B. N.
A1  - Lodrup Carlsen, K. C.
A1  - Koppelman, G. H.
A1  - Sunyer, J.
A1  - Zuberbier, T.
A1  - Annesi-Maesano, I.
A1  - Arno, A.
A1  - Bindslev-Jensen, C.
A1  - De Carlo, G.
A1  - Forastiere, F.
A1  - Heinrich, J.
A1  - Kowalski, M. L.
A1  - Maier, D.
A1  - Melen, E.
A1  - Palkonen, S.
A1  - Smit, H. A.
A1  - Standl, M.
A1  - Wright, J.
A1  - Asarnoj, A.
A1  - Benet, M.
A1  - Ballardini, N.
A1  - Garcia-Aymerich, J.
A1  - Gehring, U.
A1  - Guerra, S.
A1  - Hohman, C.
A1  - Kull, I.
A1  - Lupinek, C.
A1  - Pinart, M.
A1  - Skrindo, I.
A1  - Westman, M.
A1  - Smagghe, D.
A1  - Akdis, C.
A1  - Albang, R.
A1  - Anastasova, V.
A1  - Anderson, N.
A1  - Bachert, C.
A1  - Ballereau, S.
A1  - Ballester, F.
A1  - Basagana, X.
A1  - Bedbrook, A.
A1  - Bergstrom, A.
A1  - von Berg, A.
A1  - Brunekreef, B.
A1  - Burte, E.
A1  - Carlsen, K.H.
A1  - Chatzi, L.
A1  - Coquet, J.M.
A1  - Curin, M.
A1  - Demoly, P.
A1  - Eller, E.
A1  - Fantini, M.P.
A1  - Gerhard, B.
A1  - Hammad, H.
A1  - von Hertzen, L.
A1  - Hovland, V.
A1  - Jacquemin, B.
A1  - Just, J.
A1  - Keller, T.
A1  - Kerkhof, M.
A1  - Kiss, R.
A1  - Kogevinas, M.
A1  - Koletzko, S.
A1  - Lau, S.
A1  - Lehmann, I.
A1  - Lemonnier, N.
A1  - McEachan, R.
A1  - Makela, M.
A1  - Mestres, J.
A1  - Minina, E.
A1  - Mowinckel, P.
A1  - Nadif, R.
A1  - Nawijn, M.
A1  - Oddie, S.
A1  - Pellet, J.
A1  - Pin, I.
A1  - Porta, D.
A1  - Rancière, F.
A1  - Rial-Sebbag, A.
A1  - Schuijs, M.J.
A1  - Siroux, V.
A1  - Tischer, C.G.
A1  - Torrent, M.
A1  - Varraso, R.
A1  - De Vocht, J.
A1  - Wenger, K.
A1  - Wieser, S.
A1  - Xu, C.
T1  - Paving the way of systems biology and precision medicine in allergic diseases: the MeDALL success story 
Mechanisms of the Development of ALLergy; EUFP7-CP-IP; Project No: 261357; 2010-2015
JF  - Allergy
N2  - MeDALL (Mechanisms of the Development of ALLergy; EU FP7-CP-IP; Project No: 261357; 2010-2015) has proposed an innovative approach to develop early indicators for the prediction, diagnosis, prevention and targets for therapy. MeDALL has linked epidemiological, clinical and basic research using a stepwise, large-scale and integrative approach: MeDALL data of precisely phenotyped children followed in 14 birth cohorts spread across Europe were combined with systems biology (omics, IgE measurement using microarrays) and environmental data. Multimorbidity in the same child is more common than expected by chance alone, suggesting that these diseases share causal mechanisms irrespective of IgE sensitization. IgE sensitization should be considered differently in monosensitized and polysensitized individuals. Allergic multimorbidities and IgE polysensitization are often associated with the persistence or severity of allergic diseases. Environmental exposures are relevant for the development of allergy-related diseases. To complement the population-based studies in children, MeDALL included mechanistic experimental animal studies and in vitro studies in humans. The integration of multimorbidities and polysensitization has resulted in a new classification framework of allergic diseases that could help to improve the understanding of genetic and epigenetic mechanisms of allergy as well as to better manage allergic diseases. Ethics and gender were considered. MeDALL has deployed translational activities within the EU agenda.
KW  - asthma
KW  - birth cohort
KW  - atopic-dermatitis
KW  - immune-responses
KW  - IgE
KW  - multimorbidity
KW  - polysensitization
KW  - rhinitis
KW  - chronic respiratory-diseases
KW  - childhood asthma
KW  - immunological reactivity
KW  - IgE sensitazion
KW  - immunoglobulin-e
KW  - integraed care
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-186858
VL  - 71
IS  - 11
ER  - 
TY  - JOUR
A1  - Emmert, M.
A1  - Witzel, P.
A1  - Heinrich, D.
T1  - Challenges in tissue engineering - towards cell control inside artificial scaffolds
JF  - Soft Matter
N2  - Control of living cells is vital for the survival of organisms. Each cell inside an organism is exposed to diverse external mechano-chemical cues, all coordinated in a spatio-temporal pattern triggering individual cell functions. This complex interplay between external chemical cues and mechanical 3D environments is translated into intracellular signaling loops. Here, we describe how external mechano-chemical cues control cell functions, especially cell migration, and influence intracellular information transport. In particular, this work focuses on the quantitative analysis of (1) intracellular vesicle transport to understand intracellular state changes in response to external cues, (2) cellular sensing of external chemotactic cues, and (3) the cells' ability to migrate in 3D structured environments, artificially fabricated to mimic the 3D environment of tissue in the human body.
KW  - chemotaxis
KW  - intracellular transport
KW  - cytoskeleton dynamics
KW  - adhesion
KW  - diffusion
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-191341
VL  - 12
IS  - 19
ER  - 
TY  - JOUR
A1  - Mitchell, Anna L.
A1  - Macarthur, Katie D. R.
A1  - Gan, Earn H.
A1  - Baggott, Lucy E.
A1  - Wolff, Anette S. B.
A1  - Skinningsrud, Beate
A1  - Platt, Hazel
A1  - Short, Andrea
A1  - Lobell, Anna
A1  - Kampe, Olle
A1  - Bensing, Sophie
A1  - Betterle, Corrado
A1  - Kasperlik-Zaluska, Anna
A1  - Zurawek, Magdalena
A1  - Fichna, Marta
A1  - Kockum, Ingrid
A1  - Eriksson, Gabriel Nordling
A1  - Ekwall, Olov
A1  - Wahlberg, Jeanette
A1  - Dahlqvist, Per
A1  - Hulting, Anna-Lena
A1  - Penna-Martinez, Marissa
A1  - Meyer, Gesine
A1  - Kahles, Heinrich
A1  - Badenhoop, Klaus
A1  - Hahner, Stephanie
A1  - Quinkler, Marcus
A1  - Falorni, Alberto
A1  - Phipps-Green, Amanda
A1  - Merriman, Tony R.
A1  - Ollier, William
A1  - Cordell, Heather J.
A1  - Undlien, Dag
A1  - Czarnocka, Barbara
A1  - Husebye, Eystein
A1  - Pearce, Simon H. S.
T1  - Association of Autoimmune Addison's Disease with Alleles of STAT4 and GATA3 in European Cohorts
JF  - PLOS ONE
N2  - Background: Gene variants known to contribute to Autoimmune Addison's disease (AAD) susceptibility include those at the MHC, MICA, CIITA, CTLA4, PTPN22, CYP27B1, NLRP-1 and CD274 loci. The majority of the genetic component to disease susceptibility has yet to be accounted for. 
Aim: To investigate the role of 19 candidate genes in AAD susceptibility in six European case-control cohorts. 
Methods: A sequential association study design was employed with genotyping using Sequenom iPlex technology. In phase one, 85 SNPs in 19 genes were genotyped in UK and Norwegian AAD cohorts (691 AAD, 715 controls). In phase two, 21 SNPs in 11 genes were genotyped in German, Swedish, Italian and Polish cohorts (1264 AAD, 1221 controls). In phase three, to explore association of GATA3 polymorphisms with AAD and to determine if this association extended to other autoimmune conditions, 15 SNPs in GATA3 were studied in UK and Norwegian AAD cohorts, 1195 type 1 diabetes patients from Norway, 650 rheumatoid arthritis patients from New Zealand and in 283 UK Graves' disease patients. Meta-analysis was used to compare genotype frequencies between the participating centres, allowing for heterogeneity. 
Results: We report significant association with alleles of two STAT4 markers in AAD cohorts (rs4274624: P = 0.00016; rs10931481: P = 0.0007). In addition, nominal association of AAD with alleles at GATA3 was found in 3 patient cohorts and supported by meta-analysis. Association of AAD with CYP27B1 alleles was also confirmed, which replicates previous published data. Finally, nominal association was found at SNPs in both the NF-kappa B1 and IL23A genes in the UK and Italian cohorts respectively. 
Conclusions: Variants in the STAT4 gene, previously associated with other autoimmune conditions, confer susceptibility to AAD. Additionally, we report association of GATA3 variants with AAD: this adds to the recent report of association of GATA3 variants with rheumatoid arthritis.
KW  - Graves disease
KW  - identical twins
KW  - hashimotos-thyroiditis
KW  - population
KW  - gene
KW  - polymorphism
KW  - susceptibility
KW  - prevalence
KW  - haplotype
KW  - rheumatoid arthritis
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-117105
VL  - 9
IS  - 3
ER  - 
TY  - JOUR
A1  - Wilson, Duncan
A1  - Ambler, Gareth
A1  - Lee, Keon-Joo
A1  - Lim, Jae-Sung
A1  - Shiozawa, Masayuki
A1  - Koga, Masatoshi
A1  - Li, Linxin
A1  - Lovelock, Caroline
A1  - Chabriat, Hugues
A1  - Hennerici, Michael
A1  - Wong, Yuen Kwun
A1  - Mak, Henry Ka Fung
A1  - Prats-Sánchez, Luis
A1  - Martínez-Domeño, Alejandro
A1  - Inamura, Shigeru
A1  - Yoshifuji, Kazuhisa
A1  - Arsava, Ethem Murat
A1  - Horstmann, Solveig
A1  - Purrucker, Jan
A1  - Lam, Bonnie Yin Ka
A1  - Wong, Adrian
A1  - Kim, Young Dae
A1  - Song, Tae-Jin
A1  - Schrooten, Maarten
A1  - Lemmens, Robin
A1  - Eppinger, Sebastian
A1  - Gattringer, Thomas
A1  - Uysal, Ender
A1  - Tanriverdi, Zeynep
A1  - Bornstein, Natan M
A1  - Ben Assayag, Einor
A1  - Hallevi, Hen
A1  - Tanaka, Jun
A1  - Hara, Hideo
A1  - Coutts, Shelagh B
A1  - Hert, Lisa
A1  - Polymeris, Alexandros
A1  - Seiffge, David J
A1  - Lyrer, Philippe
A1  - Algra, Ale
A1  - Kappelle, Jaap
A1  - Salman, Rustam Al-Shahi
A1  - Jäger, Hans R
A1  - Lip, Gregory Y H
A1  - Mattle, Heinrich P
A1  - Panos, Leonidas D
A1  - Mas, Jean-Louis
A1  - Legrand, Laurence
A1  - Karayiannis, Christopher
A1  - Phan, Thanh
A1  - Gunkel, Sarah
A1  - Christ, Nicolas
A1  - Abrigo, Jill
A1  - Leung, Thomas
A1  - Chu, Winnie
A1  - Chappell, Francesca
A1  - Makin, Stephen
A1  - Hayden, Derek
A1  - Williams, David J
A1  - Kooi, M Eline
A1  - van Dam-Nolen, Dianne H K
A1  - Barbato, Carmen
A1  - Browning, Simone
A1  - Wiegertjes, Kim
A1  - Tuladhar, Anil M
A1  - Maaijwee, Noortje
A1  - Guevarra, Christine
A1  - Yatawara, Chathuri
A1  - Mendyk, Anne-Marie
A1  - Delmaire, Christine
A1  - Köhler, Sebastian
A1  - van Oostenbrugge, Robert
A1  - Zhou, Ying
A1  - Xu, Chao
A1  - Hilal, Saima
A1  - Gyanwali, Bibek
A1  - Chen, Christopher
A1  - Lou, Min
A1  - Staals, Julie
A1  - Bordet, Régis
A1  - Kandiah, Nagaendran
A1  - de Leeuw, Frank-Erik
A1  - Simister, Robert
A1  - van der Lugt, Aad
A1  - Kelly, Peter J
A1  - Wardlaw, Joanna M
A1  - Soo, Yannie
A1  - Fluri, Felix
A1  - Srikanth, Velandai
A1  - Calvet, David
A1  - Jung, Simon
A1  - Kwa, Vincent I H
A1  - Engelter, Stefan T
A1  - Peters, Nils
A1  - Smith, Eric E
A1  - Yakushiji, Yusuke
A1  - Necioglu Orken, Dilek
A1  - Fazekas, Franz
A1  - Thijs, Vincent
A1  - Heo, Ji Hoe
A1  - Mok, Vincent
A1  - Veltkamp, Roland
A1  - Ay, Hakan
A1  - Imaizumi, Toshio
A1  - Gomez-Anson, Beatriz
A1  - Lau, Kui Kai
A1  - Jouvent, Eric
A1  - Rothwell, Peter M
A1  - Toyoda, Kazunori
A1  - Bae, Hee-Yoon
A1  - Marti-Fabregas, Joan
A1  - Werring, David J
T1  - Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies
JF  - The Lancet Neurology
N2  - Background
Cerebral microbleeds are a neuroimaging biomarker of stroke risk. A crucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stroke or transient ischaemic attack in whom the rate of future intracranial haemorrhage is likely to exceed that of recurrent ischaemic stroke when treated with antithrombotic drugs. We therefore aimed to establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient ischaemic attack patients at higher absolute risk of intracranial haemorrhage than ischaemic stroke.

Methods
We did a pooled analysis of individual patient data from cohort studies in adults with recent ischaemic stroke or transient ischaemic attack. Cohorts were eligible for inclusion if they prospectively recruited adult participants with ischaemic stroke or transient ischaemic attack; included at least 50 participants; collected data on stroke events over at least 3 months follow-up; used an appropriate MRI sequence that is sensitive to magnetic susceptibility; and documented the number and anatomical distribution of cerebral microbleeds reliably using consensus criteria and validated scales. Our prespecified primary outcomes were a composite of any symptomatic intracranial haemorrhage or ischaemic stroke, symptomatic intracranial haemorrhage, and symptomatic ischaemic stroke. We registered this study with the PROSPERO international prospective register of systematic reviews, number CRD42016036602.

Findings
Between Jan 1, 1996, and Dec 1, 2018, we identified 344 studies. After exclusions for ineligibility or declined requests for inclusion, 20 322 patients from 38 cohorts (over 35 225 patient-years of follow-up; median 1·34 years [IQR 0·19–2·44]) were included in our analyses. The adjusted hazard ratio [aHR] comparing patients with cerebral microbleeds to those without was 1·35 (95% CI 1·20–1·50) for the composite outcome of intracranial haemorrhage and ischaemic stroke; 2·45 (1·82–3·29) for intracranial haemorrhage and 1·23 (1·08–1·40) for ischaemic stroke. The aHR increased with increasing cerebral microbleed burden for intracranial haemorrhage but this effect was less marked for ischaemic stroke (for five or more cerebral microbleeds, aHR 4·55 [95% CI 3·08–6·72] for intracranial haemorrhage vs 1·47 [1·19–1·80] for ischaemic stroke; for ten or more cerebral microbleeds, aHR 5·52 [3·36–9·05] vs 1·43 [1·07–1·91]; and for ≥20 cerebral microbleeds, aHR 8·61 [4·69–15·81] vs 1·86 [1·23–2·82]). However, irrespective of cerebral microbleed anatomical distribution or burden, the rate of ischaemic stroke exceeded that of intracranial haemorrhage (for ten or more cerebral microbleeds, 64 ischaemic strokes [95% CI 48–84] per 1000 patient-years vs 27 intracranial haemorrhages [17–41] per 1000 patient-years; and for ≥20 cerebral microbleeds, 73 ischaemic strokes [46–108] per 1000 patient-years vs 39 intracranial haemorrhages [21–67] per 1000 patient-years).

Interpretation
In patients with recent ischaemic stroke or transient ischaemic attack, cerebral microbleeds are associated with a greater relative hazard (aHR) for subsequent intracranial haemorrhage than for ischaemic stroke, but the absolute risk of ischaemic stroke is higher than that of intracranial haemorrhage, regardless of cerebral microbleed presence, antomical distribution, or burden.
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233710
VL  - 18
ER  -