Literature DB >> 29348301

Predicting the presence of macrovascular causes in non-traumatic intracerebral haemorrhage: the DIAGRAM prediction score.

Nina A Hilkens1, Charlotte J J van Asch2,3, David J Werring4, Duncan Wilson4, Gabriël J E Rinkel2, Ale Algra1,2, Birgitta K Velthuis5, Gérard A P de Kort5, Theo D Witkamp5, Koen M van Nieuwenhuizen2, Frank-Erik de Leeuw6, Wouter J Schonewille7, Paul L M de Kort8, Diederik W J Dippel9, Theodora W M Raaymakers10, Jeannette Hofmeijer11, Marieke J H Wermer12, Henk Kerkhoff13, Korné Jellema14, Irene M Bronner15, Michel J M Remmers16, Henri Paul Bienfait17, Ron J G M Witjes18, H Rolf Jäger19, Jacoba P Greving1, Catharina J M Klijn2,6.   

Abstract

OBJECTIVE: A substantial part of non-traumatic intracerebral haemorrhages (ICH) arises from a macrovascular cause, but there is little guidance on selection of patients for additional diagnostic work-up. We aimed to develop and externally validate a model for predicting the probability of a macrovascular cause in patients with non-traumatic ICH.
METHODS: The DIagnostic AngioGRAphy to find vascular Malformations (DIAGRAM) study (n=298; 69 macrovascular cause; 23%) is a prospective, multicentre study assessing yield and accuracy of CT angiography (CTA), MRI/ magnetic resonance angiography (MRA) and intra-arterial catheter angiography in diagnosing macrovascular causes in patients with non-traumatic ICH. We considered prespecified patient and ICH characteristics in multivariable logistic regression analyses as predictors for a macrovascular cause. We combined independent predictors in a model, which we validated in an external cohort of 173 patients with ICH (78 macrovascular cause, 45%).
RESULTS: Independent predictors were younger age, lobar or posterior fossa (vs deep) location of ICH, and absence of small vessel disease (SVD). A model that combined these predictors showed good performance in the development data (c-statistic 0.83; 95% CI 0.78 to 0.88) and moderate performance in external validation (c-statistic 0.66; 95% CI 0.58 to 0.74). When CTA results were added, the c-statistic was excellent (0.91; 95% CI 0.88 to 0.94) and good after external validation (0.88; 95% CI 0.83 to 0.94). Predicted probabilities varied from 1% in patients aged 51-70 years with deep ICH and SVD, to more than 50% in patients aged 18-50 years with lobar or posterior fossa ICH without SVD.
CONCLUSION: The DIAGRAM scores help to predict the probability of a macrovascular cause in patients with non-traumatic ICH based on age, ICH location, SVD and CTA. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  CT angiography; arteriovenous malformation; digital subtraction angiography; intracerebral haemorrhage

Mesh:

Year:  2018        PMID: 29348301     DOI: 10.1136/jnnp-2017-317262

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  7 in total

1.  Validation and Comparison of Noncontrast CT Scores to Predict Intracerebral Hemorrhage Expansion.

Authors:  Loris Poli; Eleonora Leuci; Paolo Costa; Valeria De Giuli; Filomena Caria; Elisa Candeloro; Alessandra Persico; Massimo Gamba; Mauro Magoni; Giuseppe Micieli; Anna Cavallini; Alessandro Padovani; Alessandro Pezzini; Andrea Morotti
Journal:  Neurocrit Care       Date:  2020-06       Impact factor: 3.210

Review 2.  Imaging of Spontaneous Intracerebral Hemorrhage.

Authors:  Abhi Jain; Ajay Malhotra; Seyedmehdi Payabvash
Journal:  Neuroimaging Clin N Am       Date:  2021-05       Impact factor: 2.264

3.  Acute intracerebral haemorrhage: diagnosis and management.

Authors:  Iain J McGurgan; Wendy C Ziai; David J Werring; Rustam Al-Shahi Salman; Adrian R Parry-Jones
Journal:  Pract Neurol       Date:  2020-12-07

4.  Prescription of blood pressure lowering treatment after intracerebral haemorrhage: Prospective, population-based cohort study.

Authors:  Karl Bonello; Amy Pk Nelson; Tom J Moullaali; Rustam Al-Shahi Salman
Journal:  Eur Stroke J       Date:  2020-12-03

5.  CT and DSA for evaluation of spontaneous intracerebral lobar bleedings.

Authors:  Jens-Christian Altenbernd; Sebastian Fischer; Wolfram Scharbrodt; Sebastian Schimrigk; Jens Eyding; Hannes Nordmeyer; Christine Wohlert; Nils Dörner; Yan Li; Karsten Wrede; Daniela Pierscianek; Martin Köhrmann; Benedikt Frank; Michael Forsting; Cornelius Deuschl
Journal:  Front Neurol       Date:  2022-10-03       Impact factor: 4.086

6.  Small vessel disease burden and intracerebral haemorrhage in patients taking oral anticoagulants.

Authors:  David J Seiffge; Duncan Wilson; Gareth Ambler; Gargi Banerjee; Isabel Charlotte Hostettler; Henry Houlden; Clare Shakeshaft; Hannah Cohen; Tarek A Yousry; Rustam Al-Shahi Salman; Gregory Lip; Martin M Brown; Keith Muir; H R Jäger; David J Werring
Journal:  J Neurol Neurosurg Psychiatry       Date:  2021-03-19       Impact factor: 10.154

Review 7.  Neuroimaging of Acute Intracerebral Hemorrhage.

Authors:  Peter B Sporns; Marios-Nikos Psychogios; Grégoire Boulouis; Andreas Charidimou; Qi Li; Enrico Fainardi; Dar Dowlatshahi; Joshua N Goldstein; Andrea Morotti
Journal:  J Clin Med       Date:  2021-03-05       Impact factor: 4.241

  7 in total

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