Imperial College London

ProfessorRolandVeltkamp

Faculty of MedicineDepartment of Brain Sciences

Professor of Neurology and Chair of Stroke Medicine
 
 
 
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Contact

 

r.veltkamp

 
 
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Location

 

3 East6East WingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Best:2021,
author = {Best, JG and Ambler, G and Wilson, D and Lee, K-J and Lim, J-S and Shiozawa, M and Koga, M and Li, L and Lovelock, C and Chabriat, H and Hennerici, M and Wong, YK and Mak, HKF and Prats-Sanchez, L and Martinez-Domeno, A and Inamura, S and Yoshifuji, K and Arsava, EM and Horstmann, S and Purrucker, J and Lam, BYK and Wong, A and Kim, YD and Song, T-J and Lemmens, R and Eppinger, S and Gattringer, T and Uysal, E and Tanriverdi, Z and Bornstein, NM and Ben, Assayag E and Hallevi, H and Molad, J and Nishihara, M and Tanaka, J and Coutts, SB and Polymeris, A and Wagner, B and Seiffge, DJ and Lyrer, P and Algra, A and Kappelle, LJ and Salman, RA-S and Jager, HR and Lip, GYH and Fischer, U and El-Koussy, M and Mas, J-L and Legrand, L and Karayiannis, C and Thanh, P and Gunkel, S and Christ, N and Abrigo, J and Leung, T and Chu, W and Chappell, F and Makin, S and Hayden, D and Williams, DJ and Mess, WH and Nederkoorn, PJ and Barbato, C and Browning, S and Wiegertjes, K and Tuladhar, AM and Maa},
journal = {Lancet Neurology},
pages = {294--303},
title = {Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies},
url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000630325700020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202},
volume = {20},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BackgroundBalancing the risks of recurrent ischaemic stroke and intracranial haemorrhage is important for patients treated with antithrombotic therapy after ischaemic stroke or transient ischaemic attack. However, existing predictive models offer insufficient performance, particularly for assessing the risk of intracranial haemorrhage. We aimed to develop new risk scores incorporating clinical variables and cerebral microbleeds, an MRI biomarker of intracranial haemorrhage and ischaemic stroke risk.MethodsWe did a pooled analysis of individual-patient data from the Microbleeds International Collaborative Network (MICON), which includes 38 hospital-based prospective cohort studies from 18 countries. All studies recruited participants with previous ischaemic stroke or transient ischaemic attack, acquired baseline MRI allowing quantification of cerebral microbleeds, and followed-up participants for ischaemic stroke and intracranial haemorrhage. Participants not taking antithrombotic drugs were excluded. We developed Cox regression models to predict the 5-year risks of intracranial haemorrhage and ischaemic stroke, selecting candidate predictors on biological relevance and simplifying models using backward elimination. We derived integer risk scores for clinical use. We assessed model performance in internal validation, adjusted for optimism using bootstrapping. The study is registered on PROSPERO, CRD42016036602.FindingsThe included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15766 participants had follow-up for intracranial haemorrhage, and 15784 for ischaemic stroke. Over a median follow-up of 2 years, 184 intracranial haemorrhages and 1048 ischaemic strokes were reported. The risk models we developed included cerebral microbleed burden and simple clinical variables. Optimism-adjusted c indices were 0·73 (95% CI 0·69–0·77) with a calibration slope of 0·94 (0·81–1·06) for the intracrania
AU - Best,JG
AU - Ambler,G
AU - Wilson,D
AU - Lee,K-J
AU - Lim,J-S
AU - Shiozawa,M
AU - Koga,M
AU - Li,L
AU - Lovelock,C
AU - Chabriat,H
AU - Hennerici,M
AU - Wong,YK
AU - Mak,HKF
AU - Prats-Sanchez,L
AU - Martinez-Domeno,A
AU - Inamura,S
AU - Yoshifuji,K
AU - Arsava,EM
AU - Horstmann,S
AU - Purrucker,J
AU - Lam,BYK
AU - Wong,A
AU - Kim,YD
AU - Song,T-J
AU - Lemmens,R
AU - Eppinger,S
AU - Gattringer,T
AU - Uysal,E
AU - Tanriverdi,Z
AU - Bornstein,NM
AU - Ben,Assayag E
AU - Hallevi,H
AU - Molad,J
AU - Nishihara,M
AU - Tanaka,J
AU - Coutts,SB
AU - Polymeris,A
AU - Wagner,B
AU - Seiffge,DJ
AU - Lyrer,P
AU - Algra,A
AU - Kappelle,LJ
AU - Salman,RA-S
AU - Jager,HR
AU - Lip,GYH
AU - Fischer,U
AU - El-Koussy,M
AU - Mas,J-L
AU - Legrand,L
AU - Karayiannis,C
AU - Thanh,P
AU - Gunkel,S
AU - Christ,N
AU - Abrigo,J
AU - Leung,T
AU - Chu,W
AU - Chappell,F
AU - Makin,S
AU - Hayden,D
AU - Williams,DJ
AU - Mess,WH
AU - Nederkoorn,PJ
AU - Barbato,C
AU - Browning,S
AU - Wiegertjes,K
AU - Tuladhar,AM
AU - Maaijwee,N
AU - Guevarra,AC
AU - Yatawara,C
AU - Mendyk,A-M
AU - Delmaire,C
AU - Kohler,S
AU - van,Oostenbrugge R
AU - Zhou,Y
AU - Xu,C
AU - Hilal,S
AU - Gyanwali,B
AU - Chen,C
AU - Lou,M
AU - Staals,J
AU - Bordet,R
AU - Kandiah,N
AU - de,Leeuw F-E
AU - Simister,R
AU - Hendrikse,J
AU - Kelly,PJ
AU - Wardlaw,J
AU - Soo,Y
AU - Fluri,F
AU - Srikanth,V
AU - Calvet,D
AU - Jung,S
AU - Kwa,VIH
AU - Engelter,ST
AU - Peters,N
AU - Smith,EE
AU - Hara,H
AU - Yakushiji,Y
AU - Orken,DN
AU - Fazekas,F
AU - Thijs,V
AU - Heo,JH
AU - Mok,V
AU - Veltkamp,R
AU - Ay,H
AU - Imaizumi,T
AU - Gomez-Anson,B
AU - Lau,KK
AU - Jouvent,E
AU - Rothwell,PM
AU - Toyoda,K
AU - Bae,H-J
AU - Marti-Fabregas,J
AU - Werring,DJ
EP - 303
PY - 2021///
SN - 1474-4422
SP - 294
TI - Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies
T2 - Lancet Neurology
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000630325700020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.sciencedirect.com/science/article/pii/S1474442221000247
VL - 20
ER -