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Meta-Analysis
. 2018 Oct;17(10):885-894.
doi: 10.1016/S1474-4422(18)30253-9. Epub 2018 Aug 14.

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  1 Joseph Frantzias  2 Robert J Lee  3 Patrick D Lyden  4 Thomas W K Battey  5 Alison M Ayres  5 Joshua N Goldstein  6 Stephan A Mayer  7 Thorsten Steiner  8 Xia Wang  9 Hisatomi Arima  9 Hitoshi Hasegawa  10 Makoto Oishi  10 Daniel A Godoy  11 Luca Masotti  12 Dar Dowlatshahi  13 David Rodriguez-Luna  14 Carlos A Molina  14 Dong-Kyu Jang  15 Antonio Davalos  16 José Castillo  17 Xiaoying Yao  18 Jan Claassen  19 Bastian Volbers  20 Seiji Kazui  21 Yasushi Okada  22 Shigeru Fujimoto  23 Kazunori Toyoda  24 Qi Li  25 Jane Khoury  26 Pilar Delgado  27 José Álvarez Sabín  27 Mar Hernández-Guillamon  27 Luis Prats-Sánchez  28 Chunyan Cai  29 Mahesh P Kate  30 Rebecca McCourt  30 Chitra Venkatasubramanian  31 Michael N Diringer  32 Yukio Ikeda  33 Hans Worthmann  34 Wendy C Ziai  35 Christopher D d'Esterre  36 Richard I Aviv  37 Peter Raab  38 Yasuo Murai  39 Allyson R Zazulia  32 Kenneth S Butcher  30 Seyed Mohammad Seyedsaadat  40 James C Grotta  41 Joan Martí-Fàbregas  28 Joan Montaner  27 Joseph Broderick  26 Haruko Yamamoto  42 Dimitre Staykov  43 E Sander Connolly  44 Magdy Selim  45 Rogelio Leira  17 Byung Hoo Moon  15 Andrew M Demchuk  46 Mario Di Napoli  47 Yukihiko Fujii  10 Craig S Anderson  48 Jonathan Rosand  5 VISTA-ICH CollaborationICH Growth Individual Patient Data Meta-analysis Collaborators
Collaborators, Affiliations
Meta-Analysis

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 et al. Lancet Neurol. 2018 Oct.

Erratum in

  • Corrections.
    [No authors listed] [No authors listed] Lancet Neurol. 2018 Nov;17(11):933. doi: 10.1016/S1474-4422(18)30354-5. Epub 2018 Sep 19. Lancet Neurol. 2018. PMID: 30243862 Free PMC article. No abstract available.

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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Figures

Figure 1
Figure 1
Study selection *Excluded studies and cohorts are listed in the appendix.
Figure 2
Figure 2
Predicted probability of intracerebral haemorrhage growth >6 mL Data calculated on 5076 patients who were not taking anticoagulant therapy at symptom onset. (A) Predicted probability by time from intracerebral haemorrhage symptom onset to baseline imaging, and (B) according to intracerebral haemorrhage volume on baseline imaging. The solid line indicates predicted probability and the shaded region indicates the 95% CIs.
Figure 3
Figure 3
Receiver operating characteristic curves for the predicted probability of intracerebral haemorrhage growth >6 mL Data calculated on 837 patients with assessment of CT angiography spot sign, data on antiplatelet therapy, and data on anticoagulant therapy use at symptom onset. Receiver operating characteristic curves used four predictors (time from symptom onset to baseline imaging [h], intracerebral haemorrhage volume on baseline imaging [mL], antiplatelet therapy at symptom onset, and anticoagulant therapy at symptom onset) and four predictors plus CT angiography spot sign.

Comment in

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