Absolute risk and predictors of the growth of acute spontaneous intracerebral haemorrhage: a systematic review and meta-analysis of individual patient data

Rustam Al‐Shahi Salman(University of Edinburgh), Joseph Frantzias(King's College Hospital), Robert J. Lee(University of Edinburgh), Patrick D. Lyden(Cedars-Sinai Medical Center), Thomas W.K. Battey(Massachusetts General Hospital), Alison Ayres(Massachusetts General Hospital), Joshua N. Goldstein(Massachusetts General Hospital), Stephan A. Mayer(Henry Ford Health System), Thorsten Steiner(Heidelberg University), Xia Wang(UNSW Sydney), Hisatomi Arima(UNSW Sydney), Hitoshi Hasegawa(Niigata University), Makoto Oishi(Niigata University), Daniel A. Godoy, Luca Masotti(Santa Maria Nuova Hospital), Dar Dowlatshahi(University of Ottawa), David Rodríguez‐Luna(Universitat Autònoma de Barcelona), Carlos A. Molina(Universitat Autònoma de Barcelona), Dong‐Kyu Jang(The Catholic University of Korea Incheon St. Mary's Hospital), Antonio Dávalos(Universitat Autònoma de Barcelona), José Castillo(Universidade de Santiago de Compostela), Xiaoying Yao(Shanghai Jiao Tong University), Jan Claassen(Columbia University), Bastian Volbers(University of Bern), Seiji Kazui, Yasushi Okada(National Kyushu Medical Center), Shigeru Fujimoto(Jichi Medical University), Ḱazunori Toyoda(National Cerebral and Cardiovascular Center), Qi Li(The Affiliated Yongchuan Hospital of Chongqing Medical University), Jane Khoury(University of Cincinnati), Pilar Delgado(Vall d'Hebron Institut de Recerca), José Álvarez‐Sabín(Vall d'Hebron Institut de Recerca), Mar Hernández‐Guillamón(Vall d'Hebron Institut de Recerca), Luís Prats‐Sánchez(Hospital de Sant Pau), Chunyan Cai, Mahesh Kate(University of Alberta), Rebecca McCourt(University of Alberta), Chitra Venkatasubramanian(Stanford University), Michael N. Diringer(Neurological Surgery), Yukio Ikeda(Tokyo Medical University Hachioji Medical Center), Hans Worthmann(Medizinische Hochschule Hannover), Wendy Ziai(Johns Hopkins University), Christopher D. d’Esterre(University of Calgary), Richard I. Aviv(Sunnybrook Health Science Centre), Peter Raab(Medizinische Hochschule Hannover), Yasuo Murai(Nippon Medical School), Allyson R. Zazulia(Neurological Surgery), Kenneth Butcher(University of Alberta), Seyed Mohammad Seyedsaadat(Mayo Clinic in Arizona), James C. Grotta(Memorial Hermann), Joan Martí‐Fábregas(Hospital de Sant Pau), Joan Montaner(Vall d'Hebron Institut de Recerca), Joseph P. Broderick(University of Cincinnati), Haruko Yamamoto(National Cerebral and Cardiovascular Center), Dimitre Staykov(Friedrich-Alexander-Universität Erlangen-Nürnberg), E. Sander Connolly(Columbia University), Magdy Selim(Beth Israel Deaconess Medical Center), Rogelio Leira(Universidade de Santiago de Compostela), Byung Hoo Moon(The Catholic University of Korea Incheon St. Mary's Hospital), Andrew M. Demchuk(University of Calgary), Mario Di Napoli, Yukihiko Fujii(Niigata University), Craig S Anderson(Peking University), Jonathan Rosand(Massachusetts General Hospital), Daniel F. Hanley, Kenneth Butcher(University of Alberta), Stephen M. Davis, Barbara Gregson, Kennedy R. Lees, Patrick D. Lyden(Cedars-Sinai Medical Center), Stephan A. Mayer(Henry Ford Health System), Keith W. Muir, Thorsten Steiner(Heidelberg University), Peng Xie, Babak Bakhshayesh, Mark McDonald, Thomas G. Brott(Massachusetts General Hospital), Paolo Pennati, Adrian Parry‐Jones, Craig J Smith, Stephen J. Hopkins, Mark Slevin, Verónica Campi, Puneetpal Singh, Francesca Papa, Aurel Popa‐Wagner, V. Tudorica, Ryo Takagi, Akira Teramoto, Karin Weißenborn, Heinrich Lanfermann
The Lancet Neurology
August 14, 2018
Cited by 408Open Access
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Abstract

BACKGROUND: Intracerebral haemorrhage growth is associated with poor clinical outcome and is a therapeutic target for improving outcome. We aimed to determine the absolute risk and predictors of intracerebral haemorrhage growth, develop and validate prediction models, and evaluate the added value of CT angiography. METHODS: In a systematic review of OVID MEDLINE-with additional hand-searching of relevant studies' bibliographies- from Jan 1, 1970, to Dec 31, 2015, we identified observational cohorts and randomised trials with repeat scanning protocols that included at least ten patients with acute intracerebral haemorrhage. We sought individual patient-level data from corresponding authors for patients aged 18 years or older with data available from brain imaging initially done 0·5-24 h and repeated fewer than 6 days after symptom onset, who had baseline intracerebral haemorrhage volume of less than 150 mL, and did not undergo acute treatment that might reduce intracerebral haemorrhage volume. We estimated the absolute risk and predictors of the primary outcome of intracerebral haemorrhage growth (defined as >6 mL increase in intracerebral haemorrhage volume on repeat imaging) using multivariable logistic regression models in development and validation cohorts in four subgroups of patients, using a hierarchical approach: patients not taking anticoagulant therapy at intracerebral haemorrhage onset (who constituted the largest subgroup), patients taking anticoagulant therapy at intracerebral haemorrhage onset, patients from cohorts that included at least some patients taking anticoagulant therapy at intracerebral haemorrhage onset, and patients for whom both information about anticoagulant therapy at intracerebral haemorrhage onset and spot sign on acute CT angiography were known. FINDINGS: Of 4191 studies identified, 77 were eligible for inclusion. Overall, 36 (47%) cohorts provided data on 5435 eligible patients. 5076 of these patients were not taking anticoagulant therapy at symptom onset (median age 67 years, IQR 56-76), of whom 1009 (20%) had intracerebral haemorrhage growth. Multivariable models of patients with data on antiplatelet therapy use, data on anticoagulant therapy use, and assessment of CT angiography spot sign at symptom onset showed that time from symptom onset to baseline imaging (odds ratio 0·50, 95% CI 0·36-0·70; p<0·0001), intracerebral haemorrhage volume on baseline imaging (7·18, 4·46-11·60; p<0·0001), antiplatelet use (1·68, 1·06-2·66; p=0·026), and anticoagulant use (3·48, 1·96-6·16; p<0·0001) were independent predictors of intracerebral haemorrhage growth (C-index 0·78, 95% CI 0·75-0·82). Addition of CT angiography spot sign (odds ratio 4·46, 95% CI 2·95-6·75; p<0·0001) to the model increased the C-index by 0·05 (95% CI 0·03-0·07). INTERPRETATION: In this large patient-level meta-analysis, models using four or five predictors had acceptable to good discrimination. These models could inform the location and frequency of observations on patients in clinical practice, explain treatment effects in prior randomised trials, and guide the design of future trials. FUNDING: UK Medical Research Council and British Heart Foundation.


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