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 |
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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 |
format | Article |
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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, 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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, 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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 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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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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> |
fulltext | fulltext |
identifier | ISSN: 1474-4422 |
ispartof | Lancet neurology, 2021-04, Vol.20 (4), p.294-303 |
issn | 1474-4422 1474-4465 |
language | eng |
recordid | cdi_proquest_miscellaneous_2503435205 |
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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