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

Balancing 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 o...

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Veröffentlicht in:Lancet neurology 2021-04, Vol.20 (4), p.294-303
Hauptverfasser: Ambler, Gareth, Lim, Jae-Sung, Shiozawa, Masayuki, Prats-Sanchez, Luis, Martínez-Domeño, Alejandro, Inamura, Shigeru, Lam, Bonnie Yin Ka, Lemmens, Robin, Gattringer, Thomas, Uysal, Ender, Bornstein, Natan M, Algra, Ale, Al-Shahi Salman, Rustam, Fischer, Urs, El-Koussy, Marwan, Legrand, Laurence, Karayiannis, Christopher, Chu, Winnie, Nederkoorn, Paul J, Browning, Simone, Tuladhar, Anil M, Maaijwee, Noortje, Delmaire, Christine, Köhler, Sebastian, van Oostenbrugge, Robert, Xu, Chao, de Leeuw, Frank-Erik, Simister, Robert, Hendrikse, Jeroen, Fluri, Felix, Calvet, David, Peters, Nils, Yakushiji, Yusuke, Mok, Vincent, Ay, Hakan, Imaizumi, Toshio, Lau, Kui Kai, Jouvent, Eric, Rothwell, Peter M, Harkness, Kirsty, Shaw, Louise, Sharma, Pankaj, Nallasivam, Arumug, Price, Christopher, Parry-Jones, Adrian, Proschel, Harald, Manoj, Aravindakshan, Mansoor, Syed, Anwar, Ijaz, Marsh, Rachel, Meenakishundaram, Sanjeevikumar, Aghoram, Prasanna, McCormick, Michael, O'Mahony, Paul, Cooper, Martin, Caine, Sarah, Guyler, Paul, Emsley, Hedley, Okwera, James, Saastamoinen, Kari, England, Timothy, Flossman, Enrico, Charidimou, Andreas, Yousry, Tarek, Panos, Leonidas, Korczyn, Amos, Kliper, Efrat, Douste-Blazy, Marie-Yvonne, Vicaut, Eric, Fujita, Kyohei, Ide, Toshihiro, Singhal, Shaloo, Chandra, Ronil, Soufan, Cathy, Bonati, Leo, Kim, Beom Joon, Jang, Myung Suk, Akijian, Layan, Thornton, John, Iida, Kotaro, Thrippleton, Michael, Ho, Shu Leung, Cheung, Raymond Tak Fai, Hui, Edward, Hoi, Chu Peng, Cheung, Ryan Hoi Kit, Wong, Edmund Ka Ming, Leung, Kam Tat, Fong, Wing Chi, Li, Siu Hung, Wong, Kwok Kui, van der Sande, Jaap, Stam, Jan, Verbiest, Henk, Hertzberger, Leopold, Van Dam-Nolen, Dianne, Kooi, M Eline, Koudstaal, Peter, Leff, Alexander, Nachev, Parashkev
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container_issue 4
container_start_page 294
container_title Lancet neurology
container_volume 20
creator Ambler, Gareth
Lim, Jae-Sung
Shiozawa, Masayuki
Prats-Sanchez, Luis
Martínez-Domeño, Alejandro
Inamura, Shigeru
Lam, Bonnie Yin Ka
Lemmens, Robin
Gattringer, Thomas
Uysal, Ender
Bornstein, Natan M
Algra, Ale
Al-Shahi Salman, Rustam
Fischer, Urs
El-Koussy, Marwan
Legrand, Laurence
Karayiannis, Christopher
Chu, Winnie
Nederkoorn, Paul J
Browning, Simone
Tuladhar, Anil M
Maaijwee, Noortje
Delmaire, Christine
Köhler, Sebastian
van Oostenbrugge, Robert
Xu, Chao
de Leeuw, Frank-Erik
Simister, Robert
Hendrikse, Jeroen
Fluri, Felix
Calvet, David
Peters, Nils
Yakushiji, Yusuke
Mok, Vincent
Ay, Hakan
Imaizumi, Toshio
Lau, Kui Kai
Jouvent, Eric
Rothwell, Peter M
Harkness, Kirsty
Shaw, Louise
Sharma, Pankaj
Nallasivam, Arumug
Price, Christopher
Parry-Jones, Adrian
Proschel, Harald
Manoj, Aravindakshan
Mansoor, Syed
Anwar, Ijaz
Marsh, Rachel
Meenakishundaram, Sanjeevikumar
Aghoram, Prasanna
McCormick, Michael
O'Mahony, Paul
Cooper, Martin
Caine, Sarah
Guyler, Paul
Emsley, Hedley
Okwera, James
Saastamoinen, Kari
England, Timothy
Flossman, Enrico
Charidimou, Andreas
Yousry, Tarek
Panos, Leonidas
Korczyn, Amos
Kliper, Efrat
Douste-Blazy, Marie-Yvonne
Vicaut, Eric
Fujita, Kyohei
Ide, Toshihiro
Singhal, Shaloo
Chandra, Ronil
Soufan, Cathy
Bonati, Leo
Kim, Beom Joon
Jang, Myung Suk
Akijian, Layan
Thornton, John
Iida, Kotaro
Thrippleton, Michael
Ho, Shu Leung
Cheung, Raymond Tak Fai
Hui, Edward
Hoi, Chu Peng
Cheung, Ryan Hoi Kit
Wong, Edmund Ka Ming
Leung, Kam Tat
Fong, Wing Chi
Li, Siu Hung
Wong, Kwok Kui
van der Sande, Jaap
Stam, Jan
Verbiest, Henk
Hertzberger, Leopold
Van Dam-Nolen, Dianne
Kooi, M Eline
Koudstaal, Peter
Leff, Alexander
Nachev, Parashkev
description Balancing 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. We 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. The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 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 intracranial haemorrhage model and 0·63 (0·62–0·65) with a calibration slope of 0·97 (0·87–1·07) for the ischaemic stroke model. There was good agreement between predicted and observed risk for both models. The MICON risk scores, incorporating clinical variables and cerebral microbleeds, offer predictive value for the long-term risks of intracranial haemorrhage and ischaemic stroke in patients prescribed antithrombotic therapy for secondary stroke prevention; external validation is warranted. British Heart Foundation and Stroke Association.
doi_str_mv 10.1016/S1474-4422(21)00024-7
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Lim, Jae-Sung ; Shiozawa, Masayuki ; Prats-Sanchez, Luis ; Martínez-Domeño, Alejandro ; Inamura, Shigeru ; Lam, Bonnie Yin Ka ; Lemmens, Robin ; Gattringer, Thomas ; Uysal, Ender ; Bornstein, Natan M ; Algra, Ale ; Al-Shahi Salman, Rustam ; Fischer, Urs ; El-Koussy, Marwan ; Legrand, Laurence ; Karayiannis, Christopher ; Chu, Winnie ; Nederkoorn, Paul J ; Browning, Simone ; Tuladhar, Anil M ; Maaijwee, Noortje ; Delmaire, Christine ; Köhler, Sebastian ; van Oostenbrugge, Robert ; Xu, Chao ; de Leeuw, Frank-Erik ; Simister, Robert ; Hendrikse, Jeroen ; Fluri, Felix ; Calvet, David ; Peters, Nils ; Yakushiji, Yusuke ; Mok, Vincent ; Ay, Hakan ; Imaizumi, Toshio ; Lau, Kui Kai ; Jouvent, Eric ; Rothwell, Peter M ; Harkness, Kirsty ; Shaw, Louise ; Sharma, Pankaj ; Nallasivam, Arumug ; Price, Christopher ; Parry-Jones, Adrian ; Proschel, Harald ; Manoj, Aravindakshan ; Mansoor, Syed ; Anwar, Ijaz ; Marsh, Rachel ; Meenakishundaram, Sanjeevikumar ; Aghoram, Prasanna ; McCormick, Michael ; O'Mahony, Paul ; Cooper, Martin ; Caine, Sarah ; Guyler, Paul ; Emsley, Hedley ; Okwera, James ; Saastamoinen, Kari ; England, Timothy ; Flossman, Enrico ; Charidimou, Andreas ; Yousry, Tarek ; Panos, Leonidas ; Korczyn, Amos ; Kliper, Efrat ; Douste-Blazy, Marie-Yvonne ; Vicaut, Eric ; Fujita, Kyohei ; Ide, Toshihiro ; Singhal, Shaloo ; Chandra, Ronil ; Soufan, Cathy ; Bonati, Leo ; Kim, Beom Joon ; Jang, Myung Suk ; Akijian, Layan ; Thornton, John ; Iida, Kotaro ; Thrippleton, Michael ; Ho, Shu Leung ; Cheung, Raymond Tak Fai ; Hui, Edward ; Hoi, Chu Peng ; Cheung, Ryan Hoi Kit ; Wong, Edmund Ka Ming ; Leung, Kam Tat ; Fong, Wing Chi ; Li, Siu Hung ; Wong, Kwok Kui ; van der Sande, Jaap ; Stam, Jan ; Verbiest, Henk ; Hertzberger, Leopold ; Van Dam-Nolen, Dianne ; Kooi, M Eline ; Koudstaal, Peter ; Leff, Alexander ; Nachev, Parashkev</creator><creatorcontrib>Ambler, Gareth ; Lim, Jae-Sung ; Shiozawa, Masayuki ; Prats-Sanchez, Luis ; Martínez-Domeño, Alejandro ; Inamura, Shigeru ; Lam, Bonnie Yin Ka ; Lemmens, Robin ; Gattringer, Thomas ; Uysal, Ender ; Bornstein, Natan M ; Algra, Ale ; Al-Shahi Salman, Rustam ; Fischer, Urs ; El-Koussy, Marwan ; Legrand, Laurence ; Karayiannis, Christopher ; Chu, Winnie ; Nederkoorn, Paul J ; Browning, Simone ; Tuladhar, Anil M ; Maaijwee, Noortje ; Delmaire, Christine ; Köhler, Sebastian ; van Oostenbrugge, Robert ; Xu, Chao ; de Leeuw, Frank-Erik ; Simister, Robert ; Hendrikse, Jeroen ; Fluri, Felix ; Calvet, David ; Peters, Nils ; Yakushiji, Yusuke ; Mok, Vincent ; Ay, Hakan ; Imaizumi, Toshio ; Lau, Kui Kai ; Jouvent, Eric ; Rothwell, Peter M ; Harkness, Kirsty ; Shaw, Louise ; Sharma, Pankaj ; Nallasivam, Arumug ; Price, Christopher ; Parry-Jones, Adrian ; Proschel, Harald ; Manoj, Aravindakshan ; Mansoor, Syed ; Anwar, Ijaz ; Marsh, Rachel ; Meenakishundaram, Sanjeevikumar ; Aghoram, Prasanna ; McCormick, Michael ; O'Mahony, Paul ; Cooper, Martin ; Caine, Sarah ; Guyler, Paul ; Emsley, Hedley ; Okwera, James ; Saastamoinen, Kari ; England, Timothy ; Flossman, Enrico ; Charidimou, Andreas ; Yousry, Tarek ; Panos, Leonidas ; Korczyn, Amos ; Kliper, Efrat ; Douste-Blazy, Marie-Yvonne ; Vicaut, Eric ; Fujita, Kyohei ; Ide, Toshihiro ; Singhal, Shaloo ; Chandra, Ronil ; Soufan, Cathy ; Bonati, Leo ; Kim, Beom Joon ; Jang, Myung Suk ; Akijian, Layan ; Thornton, John ; Iida, Kotaro ; Thrippleton, Michael ; Ho, Shu Leung ; Cheung, Raymond Tak Fai ; Hui, Edward ; Hoi, Chu Peng ; Cheung, Ryan Hoi Kit ; Wong, Edmund Ka Ming ; Leung, Kam Tat ; Fong, Wing Chi ; Li, Siu Hung ; Wong, Kwok Kui ; van der Sande, Jaap ; Stam, Jan ; Verbiest, Henk ; Hertzberger, Leopold ; Van Dam-Nolen, Dianne ; Kooi, M Eline ; Koudstaal, Peter ; Leff, Alexander ; Nachev, Parashkev ; Microbleeds International Collaborative Network</creatorcontrib><description>Balancing 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. We 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. The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 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 intracranial haemorrhage model and 0·63 (0·62–0·65) with a calibration slope of 0·97 (0·87–1·07) for the ischaemic stroke model. There was good agreement between predicted and observed risk for both models. The MICON risk scores, incorporating clinical variables and cerebral microbleeds, offer predictive value for the long-term risks of intracranial haemorrhage and ischaemic stroke in patients prescribed antithrombotic therapy for secondary stroke prevention; external validation is warranted. British Heart Foundation and Stroke Association.</description><identifier>ISSN: 1474-4422</identifier><identifier>EISSN: 1474-4465</identifier><identifier>DOI: 10.1016/S1474-4422(21)00024-7</identifier><identifier>PMID: 33743239</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adult ; Aged ; Anticoagulants ; Biomarkers ; Cohort analysis ; Collaboration ; Female ; Fibrinolytic Agents - therapeutic use ; Hemorrhage ; Humans ; Intracranial Hemorrhages - etiology ; Ischemic Attack, Transient - complications ; Ischemic Attack, Transient - diagnostic imaging ; Ischemic Attack, Transient - drug therapy ; Ischemic Stroke - complications ; Ischemic Stroke - diagnostic imaging ; Ischemic Stroke - drug therapy ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Patients ; Prediction models ; Recurrence ; Regression analysis ; Risk ; Stroke ; Transient ischemic attack</subject><ispartof>Lancet neurology, 2021-04, Vol.20 (4), p.294-303</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright © 2021 Elsevier Ltd. All rights reserved.</rights><rights>2021. Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c492t-abcb4ab217d562700785e1d7a46e66851923d3a1bbf28c0b0c57808a8cfcf653</citedby><cites>FETCH-LOGICAL-c492t-abcb4ab217d562700785e1d7a46e66851923d3a1bbf28c0b0c57808a8cfcf653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2502190735?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,781,785,3551,27926,27927,45997,64387,64389,64391,72471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33743239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ambler, Gareth</creatorcontrib><creatorcontrib>Lim, Jae-Sung</creatorcontrib><creatorcontrib>Shiozawa, Masayuki</creatorcontrib><creatorcontrib>Prats-Sanchez, Luis</creatorcontrib><creatorcontrib>Martínez-Domeño, Alejandro</creatorcontrib><creatorcontrib>Inamura, Shigeru</creatorcontrib><creatorcontrib>Lam, Bonnie Yin Ka</creatorcontrib><creatorcontrib>Lemmens, Robin</creatorcontrib><creatorcontrib>Gattringer, Thomas</creatorcontrib><creatorcontrib>Uysal, Ender</creatorcontrib><creatorcontrib>Bornstein, Natan M</creatorcontrib><creatorcontrib>Algra, Ale</creatorcontrib><creatorcontrib>Al-Shahi Salman, Rustam</creatorcontrib><creatorcontrib>Fischer, Urs</creatorcontrib><creatorcontrib>El-Koussy, Marwan</creatorcontrib><creatorcontrib>Legrand, Laurence</creatorcontrib><creatorcontrib>Karayiannis, Christopher</creatorcontrib><creatorcontrib>Chu, Winnie</creatorcontrib><creatorcontrib>Nederkoorn, Paul J</creatorcontrib><creatorcontrib>Browning, Simone</creatorcontrib><creatorcontrib>Tuladhar, Anil M</creatorcontrib><creatorcontrib>Maaijwee, Noortje</creatorcontrib><creatorcontrib>Delmaire, Christine</creatorcontrib><creatorcontrib>Köhler, Sebastian</creatorcontrib><creatorcontrib>van Oostenbrugge, Robert</creatorcontrib><creatorcontrib>Xu, Chao</creatorcontrib><creatorcontrib>de Leeuw, Frank-Erik</creatorcontrib><creatorcontrib>Simister, Robert</creatorcontrib><creatorcontrib>Hendrikse, Jeroen</creatorcontrib><creatorcontrib>Fluri, Felix</creatorcontrib><creatorcontrib>Calvet, David</creatorcontrib><creatorcontrib>Peters, Nils</creatorcontrib><creatorcontrib>Yakushiji, Yusuke</creatorcontrib><creatorcontrib>Mok, Vincent</creatorcontrib><creatorcontrib>Ay, Hakan</creatorcontrib><creatorcontrib>Imaizumi, Toshio</creatorcontrib><creatorcontrib>Lau, Kui Kai</creatorcontrib><creatorcontrib>Jouvent, Eric</creatorcontrib><creatorcontrib>Rothwell, Peter M</creatorcontrib><creatorcontrib>Harkness, Kirsty</creatorcontrib><creatorcontrib>Shaw, Louise</creatorcontrib><creatorcontrib>Sharma, Pankaj</creatorcontrib><creatorcontrib>Nallasivam, Arumug</creatorcontrib><creatorcontrib>Price, Christopher</creatorcontrib><creatorcontrib>Parry-Jones, Adrian</creatorcontrib><creatorcontrib>Proschel, Harald</creatorcontrib><creatorcontrib>Manoj, Aravindakshan</creatorcontrib><creatorcontrib>Mansoor, Syed</creatorcontrib><creatorcontrib>Anwar, Ijaz</creatorcontrib><creatorcontrib>Marsh, Rachel</creatorcontrib><creatorcontrib>Meenakishundaram, Sanjeevikumar</creatorcontrib><creatorcontrib>Aghoram, Prasanna</creatorcontrib><creatorcontrib>McCormick, Michael</creatorcontrib><creatorcontrib>O'Mahony, Paul</creatorcontrib><creatorcontrib>Cooper, Martin</creatorcontrib><creatorcontrib>Caine, Sarah</creatorcontrib><creatorcontrib>Guyler, Paul</creatorcontrib><creatorcontrib>Emsley, Hedley</creatorcontrib><creatorcontrib>Okwera, James</creatorcontrib><creatorcontrib>Saastamoinen, Kari</creatorcontrib><creatorcontrib>England, Timothy</creatorcontrib><creatorcontrib>Flossman, Enrico</creatorcontrib><creatorcontrib>Charidimou, Andreas</creatorcontrib><creatorcontrib>Yousry, Tarek</creatorcontrib><creatorcontrib>Panos, Leonidas</creatorcontrib><creatorcontrib>Korczyn, Amos</creatorcontrib><creatorcontrib>Kliper, Efrat</creatorcontrib><creatorcontrib>Douste-Blazy, Marie-Yvonne</creatorcontrib><creatorcontrib>Vicaut, Eric</creatorcontrib><creatorcontrib>Fujita, Kyohei</creatorcontrib><creatorcontrib>Ide, Toshihiro</creatorcontrib><creatorcontrib>Singhal, Shaloo</creatorcontrib><creatorcontrib>Chandra, Ronil</creatorcontrib><creatorcontrib>Soufan, Cathy</creatorcontrib><creatorcontrib>Bonati, Leo</creatorcontrib><creatorcontrib>Kim, Beom Joon</creatorcontrib><creatorcontrib>Jang, Myung Suk</creatorcontrib><creatorcontrib>Akijian, Layan</creatorcontrib><creatorcontrib>Thornton, John</creatorcontrib><creatorcontrib>Iida, Kotaro</creatorcontrib><creatorcontrib>Thrippleton, Michael</creatorcontrib><creatorcontrib>Ho, Shu Leung</creatorcontrib><creatorcontrib>Cheung, Raymond Tak Fai</creatorcontrib><creatorcontrib>Hui, Edward</creatorcontrib><creatorcontrib>Hoi, Chu Peng</creatorcontrib><creatorcontrib>Cheung, Ryan Hoi Kit</creatorcontrib><creatorcontrib>Wong, Edmund Ka Ming</creatorcontrib><creatorcontrib>Leung, Kam Tat</creatorcontrib><creatorcontrib>Fong, Wing Chi</creatorcontrib><creatorcontrib>Li, Siu Hung</creatorcontrib><creatorcontrib>Wong, Kwok Kui</creatorcontrib><creatorcontrib>van der Sande, Jaap</creatorcontrib><creatorcontrib>Stam, Jan</creatorcontrib><creatorcontrib>Verbiest, Henk</creatorcontrib><creatorcontrib>Hertzberger, Leopold</creatorcontrib><creatorcontrib>Van Dam-Nolen, Dianne</creatorcontrib><creatorcontrib>Kooi, M Eline</creatorcontrib><creatorcontrib>Koudstaal, Peter</creatorcontrib><creatorcontrib>Leff, Alexander</creatorcontrib><creatorcontrib>Nachev, Parashkev</creatorcontrib><creatorcontrib>Microbleeds International Collaborative Network</creatorcontrib><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</title><title>Lancet neurology</title><addtitle>Lancet Neurol</addtitle><description>Balancing 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. We 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. The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 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 intracranial haemorrhage model and 0·63 (0·62–0·65) with a calibration slope of 0·97 (0·87–1·07) for the ischaemic stroke model. There was good agreement between predicted and observed risk for both models. The MICON risk scores, incorporating clinical variables and cerebral microbleeds, offer predictive value for the long-term risks of intracranial haemorrhage and ischaemic stroke in patients prescribed antithrombotic therapy for secondary stroke prevention; external validation is warranted. British Heart Foundation and Stroke Association.</description><subject>Adult</subject><subject>Aged</subject><subject>Anticoagulants</subject><subject>Biomarkers</subject><subject>Cohort analysis</subject><subject>Collaboration</subject><subject>Female</subject><subject>Fibrinolytic Agents - therapeutic use</subject><subject>Hemorrhage</subject><subject>Humans</subject><subject>Intracranial Hemorrhages - etiology</subject><subject>Ischemic Attack, Transient - complications</subject><subject>Ischemic Attack, Transient - diagnostic imaging</subject><subject>Ischemic Attack, Transient - drug therapy</subject><subject>Ischemic Stroke - complications</subject><subject>Ischemic Stroke - diagnostic imaging</subject><subject>Ischemic Stroke - drug therapy</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Patients</subject><subject>Prediction models</subject><subject>Recurrence</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Stroke</subject><subject>Transient ischemic attack</subject><issn>1474-4422</issn><issn>1474-4465</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkk2P0zAQhgMCsWXhJ4AscVkOAdtxPsoFoeVTWokDe7cm9qT1NonD2KnUf4_TlhWCAydb42fed2y_WfZC8DeCi-rtD6FqlSsl5ZUUrznnUuX1w2x1Llflo_u9lBfZ0xDuEiNUI55kF0VRq0IW69WD1UfcY--nAcfIfMfcABs3bvIWAlpGLuxYMJ4wsM4TmwitM9H58ciOkcAQjA56tgUcPNEWNshgtMwFs5ScYSGS32Gi2QTRJZ_AIuySSeKii1vyQ-tjAuMWCaYDgy4i_SuQ_JPfGBaJP04hRjC7dwzY5H2fhoYR-kNw4TSidXtn5zTg2ZxZiMC6ZMqM33qKSX62DsOz7HEHfcDn5_Uyu_386fb6a37z_cu36w83uVFrGXNoTauglaK2ZSVrzuumRGFrUBVWVVOKtSxsAaJtO9kY3nJT1g1voDGd6aqyuMyuTrIT-Z8zhqiHdBfsexjRz0HLkheqKCVf0Fd_oXd-pnS7IyXFmtfFQpUnypAPgbDTE6VfpIMWXC9R0ceo6CUHWgp9jIquU9_Ls_rcDmjvu35nIwHvTwCm19g7JB1MekGTIkBoorbe_cfiF5GI1Pc</recordid><startdate>202104</startdate><enddate>202104</enddate><creator>Ambler, 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Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0TZ</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C2</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>202104</creationdate><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</title><author>Ambler, Gareth ; Lim, Jae-Sung ; Shiozawa, Masayuki ; Prats-Sanchez, Luis ; Martínez-Domeño, Alejandro ; Inamura, Shigeru ; Lam, Bonnie Yin Ka ; Lemmens, Robin ; Gattringer, Thomas ; Uysal, Ender ; Bornstein, Natan M ; Algra, Ale ; Al-Shahi Salman, Rustam ; Fischer, Urs ; El-Koussy, Marwan ; Legrand, Laurence ; Karayiannis, Christopher ; Chu, Winnie ; Nederkoorn, Paul J ; Browning, Simone ; Tuladhar, Anil M ; Maaijwee, Noortje ; Delmaire, Christine ; Köhler, Sebastian ; van Oostenbrugge, Robert ; Xu, Chao ; de Leeuw, Frank-Erik ; Simister, Robert ; Hendrikse, Jeroen ; Fluri, Felix ; Calvet, David ; Peters, Nils ; Yakushiji, Yusuke ; Mok, Vincent ; Ay, Hakan ; Imaizumi, Toshio ; Lau, Kui Kai ; Jouvent, Eric ; Rothwell, Peter M ; Harkness, Kirsty ; Shaw, Louise ; Sharma, Pankaj ; Nallasivam, Arumug ; Price, Christopher ; Parry-Jones, Adrian ; Proschel, Harald ; Manoj, Aravindakshan ; Mansoor, Syed ; Anwar, Ijaz ; Marsh, Rachel ; Meenakishundaram, Sanjeevikumar ; Aghoram, Prasanna ; McCormick, Michael ; O'Mahony, Paul ; Cooper, Martin ; Caine, Sarah ; Guyler, Paul ; Emsley, Hedley ; Okwera, James ; Saastamoinen, Kari ; England, Timothy ; Flossman, Enrico ; Charidimou, Andreas ; Yousry, Tarek ; Panos, Leonidas ; Korczyn, Amos ; Kliper, Efrat ; Douste-Blazy, Marie-Yvonne ; Vicaut, Eric ; Fujita, Kyohei ; Ide, Toshihiro ; Singhal, Shaloo ; Chandra, Ronil ; Soufan, Cathy ; Bonati, Leo ; Kim, Beom Joon ; Jang, Myung Suk ; Akijian, Layan ; Thornton, John ; Iida, Kotaro ; Thrippleton, Michael ; Ho, Shu Leung ; Cheung, Raymond Tak Fai ; Hui, Edward ; Hoi, Chu Peng ; Cheung, Ryan Hoi Kit ; Wong, Edmund Ka Ming ; Leung, Kam Tat ; Fong, Wing Chi ; Li, Siu Hung ; Wong, Kwok Kui ; van der Sande, Jaap ; Stam, Jan ; Verbiest, Henk ; Hertzberger, Leopold ; Van Dam-Nolen, Dianne ; Kooi, M Eline ; Koudstaal, Peter ; Leff, Alexander ; Nachev, Parashkev</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-abcb4ab217d562700785e1d7a46e66851923d3a1bbf28c0b0c57808a8cfcf653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Anticoagulants</topic><topic>Biomarkers</topic><topic>Cohort analysis</topic><topic>Collaboration</topic><topic>Female</topic><topic>Fibrinolytic Agents - therapeutic use</topic><topic>Hemorrhage</topic><topic>Humans</topic><topic>Intracranial Hemorrhages - etiology</topic><topic>Ischemic Attack, Transient - complications</topic><topic>Ischemic Attack, Transient - diagnostic imaging</topic><topic>Ischemic Attack, Transient - drug therapy</topic><topic>Ischemic Stroke - complications</topic><topic>Ischemic Stroke - diagnostic imaging</topic><topic>Ischemic Stroke - drug therapy</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Patients</topic><topic>Prediction models</topic><topic>Recurrence</topic><topic>Regression analysis</topic><topic>Risk</topic><topic>Stroke</topic><topic>Transient ischemic attack</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ambler, Gareth</creatorcontrib><creatorcontrib>Lim, Jae-Sung</creatorcontrib><creatorcontrib>Shiozawa, Masayuki</creatorcontrib><creatorcontrib>Prats-Sanchez, Luis</creatorcontrib><creatorcontrib>Martínez-Domeño, Alejandro</creatorcontrib><creatorcontrib>Inamura, Shigeru</creatorcontrib><creatorcontrib>Lam, Bonnie Yin Ka</creatorcontrib><creatorcontrib>Lemmens, Robin</creatorcontrib><creatorcontrib>Gattringer, Thomas</creatorcontrib><creatorcontrib>Uysal, Ender</creatorcontrib><creatorcontrib>Bornstein, Natan M</creatorcontrib><creatorcontrib>Algra, Ale</creatorcontrib><creatorcontrib>Al-Shahi Salman, Rustam</creatorcontrib><creatorcontrib>Fischer, 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Ender</au><au>Bornstein, Natan M</au><au>Algra, Ale</au><au>Al-Shahi Salman, Rustam</au><au>Fischer, Urs</au><au>El-Koussy, Marwan</au><au>Legrand, Laurence</au><au>Karayiannis, Christopher</au><au>Chu, Winnie</au><au>Nederkoorn, Paul J</au><au>Browning, Simone</au><au>Tuladhar, Anil M</au><au>Maaijwee, Noortje</au><au>Delmaire, Christine</au><au>Köhler, Sebastian</au><au>van Oostenbrugge, Robert</au><au>Xu, Chao</au><au>de Leeuw, Frank-Erik</au><au>Simister, Robert</au><au>Hendrikse, Jeroen</au><au>Fluri, Felix</au><au>Calvet, David</au><au>Peters, Nils</au><au>Yakushiji, Yusuke</au><au>Mok, Vincent</au><au>Ay, Hakan</au><au>Imaizumi, Toshio</au><au>Lau, Kui Kai</au><au>Jouvent, Eric</au><au>Rothwell, Peter M</au><au>Harkness, Kirsty</au><au>Shaw, Louise</au><au>Sharma, Pankaj</au><au>Nallasivam, Arumug</au><au>Price, Christopher</au><au>Parry-Jones, Adrian</au><au>Proschel, Harald</au><au>Manoj, Aravindakshan</au><au>Mansoor, Syed</au><au>Anwar, Ijaz</au><au>Marsh, Rachel</au><au>Meenakishundaram, Sanjeevikumar</au><au>Aghoram, Prasanna</au><au>McCormick, Michael</au><au>O'Mahony, Paul</au><au>Cooper, Martin</au><au>Caine, Sarah</au><au>Guyler, Paul</au><au>Emsley, Hedley</au><au>Okwera, James</au><au>Saastamoinen, Kari</au><au>England, Timothy</au><au>Flossman, Enrico</au><au>Charidimou, Andreas</au><au>Yousry, Tarek</au><au>Panos, Leonidas</au><au>Korczyn, Amos</au><au>Kliper, Efrat</au><au>Douste-Blazy, Marie-Yvonne</au><au>Vicaut, Eric</au><au>Fujita, Kyohei</au><au>Ide, Toshihiro</au><au>Singhal, Shaloo</au><au>Chandra, Ronil</au><au>Soufan, Cathy</au><au>Bonati, Leo</au><au>Kim, Beom Joon</au><au>Jang, Myung Suk</au><au>Akijian, Layan</au><au>Thornton, John</au><au>Iida, Kotaro</au><au>Thrippleton, Michael</au><au>Ho, Shu Leung</au><au>Cheung, Raymond Tak Fai</au><au>Hui, Edward</au><au>Hoi, Chu Peng</au><au>Cheung, Ryan Hoi Kit</au><au>Wong, Edmund Ka Ming</au><au>Leung, Kam Tat</au><au>Fong, Wing Chi</au><au>Li, Siu Hung</au><au>Wong, Kwok Kui</au><au>van der Sande, Jaap</au><au>Stam, Jan</au><au>Verbiest, Henk</au><au>Hertzberger, Leopold</au><au>Van Dam-Nolen, Dianne</au><au>Kooi, M Eline</au><au>Koudstaal, Peter</au><au>Leff, Alexander</au><au>Nachev, Parashkev</au><aucorp>Microbleeds International Collaborative Network</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Lancet neurology</jtitle><addtitle>Lancet Neurol</addtitle><date>2021-04</date><risdate>2021</risdate><volume>20</volume><issue>4</issue><spage>294</spage><epage>303</epage><pages>294-303</pages><issn>1474-4422</issn><eissn>1474-4465</eissn><abstract>Balancing 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. We 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. The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 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 intracranial haemorrhage model and 0·63 (0·62–0·65) with a calibration slope of 0·97 (0·87–1·07) for the ischaemic stroke model. There was good agreement between predicted and observed risk for both models. The MICON risk scores, incorporating clinical variables and cerebral microbleeds, offer predictive value for the long-term risks of intracranial haemorrhage and ischaemic stroke in patients prescribed antithrombotic therapy for secondary stroke prevention; external validation is warranted. British Heart Foundation and Stroke Association.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>33743239</pmid><doi>10.1016/S1474-4422(21)00024-7</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1474-4422
ispartof Lancet neurology, 2021-04, Vol.20 (4), p.294-303
issn 1474-4422
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language eng
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source MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland
subjects Adult
Aged
Anticoagulants
Biomarkers
Cohort analysis
Collaboration
Female
Fibrinolytic Agents - therapeutic use
Hemorrhage
Humans
Intracranial Hemorrhages - etiology
Ischemic Attack, Transient - complications
Ischemic Attack, Transient - diagnostic imaging
Ischemic Attack, Transient - drug therapy
Ischemic Stroke - complications
Ischemic Stroke - diagnostic imaging
Ischemic Stroke - drug therapy
Magnetic Resonance Imaging
Male
Middle Aged
Patients
Prediction models
Recurrence
Regression analysis
Risk
Stroke
Transient ischemic attack
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
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