IER-SICH Nomogram to Predict Symptomatic Intracerebral Hemorrhage After Thrombectomy for Stroke.

Clicks: 415
ID: 60833
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #9 of 82 articles by views in Stroke

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Background and Purpose- As a reliable scoring system to detect the risk of symptomatic intracerebral hemorrhage after thrombectomy for ischemic stroke is not yet available, we developed a nomogram for predicting symptomatic intracerebral hemorrhage in patients with large vessel occlusion in the anterior circulation who received bridging of thrombectomy with intravenous thrombolysis (training set), and to validate the model by using a cohort of patients treated with direct thrombectomy (test set). Methods- We conducted a cohort study on prospectively collected data from 3714 patients enrolled in the IER (Italian Registry of Endovascular Stroke Treatment in Acute Stroke). Symptomatic intracerebral hemorrhage was defined as any type of intracerebral hemorrhage with increase of ≥4 National Institutes of Health Stroke Scale score points from baseline ≤24 hours or death. Based on multivariate logistic models, the nomogram was generated. We assessed the discriminative performance by using the area under the receiver operating characteristic curve. Results- National Institutes of Health Stroke Scale score, onset-to-end procedure time, age, unsuccessful recanalization, and Careggi collateral score composed the IER-SICH nomogram. After removing Careggi collateral score from the first model, a second model including Alberta Stroke Program Early CT Score was developed. The area under the receiver operating characteristic curve of the IER-SICH nomogram was 0.778 in the training set (n=492) and 0.709 in the test set (n=399). The area under the receiver operating characteristic curve of the second model was 0.733 in the training set (n=988) and 0.685 in the test set (n=779). Conclusions- The IER-SICH nomogram is the first model developed and validated for predicting symptomatic intracerebral hemorrhage after thrombectomy. It may provide indications on early identification of patients for more or less postprocedural intensive management.
Reference Key
cappellari2019iersichstroke Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Cappellari, Manuel;Mangiafico, Salvatore;Saia, Valentina;Pracucci, Giovanni;Nappini, Sergio;Nencini, Patrizia;Konda, Daniel;Sallustio, Fabrizio;Vallone, Stefano;Zini, Andrea;Bracco, Sandra;Tassi, Rossana;Bergui, Mauro;Cerrato, Paolo;Pitrone, Antonio;Grillo, Francesco;Saletti, Andrea;De Vito, Alessandro;Gasparotti, Roberto;Magoni, Mauro;Puglielli, Edoardo;Casalena, Alfonsina;Causin, Francesco;Baracchini, Claudio;Castellan, Lucio;Malfatto, Laura;Menozzi, Roberto;Scoditti, Umberto;Comelli, Chiara;Duc, Enrica;Comai, Alessio;Franchini, Enrica;Cosottini, Mirco;Mancuso, Michelangelo;Peschillo, Simone;De Michele, Manuela;Giorgianni, Andrea;Delodovici, Maria Luisa;Lafe, Elvis;Denaro, Maria Federica;Burdi, Nicola;Internò, Saverio;Cavasin, Nicola;Critelli, Adriana;Chiumarulo, Luigi;Petruzzellis, Marco;Doddi, Marco;Carolei, Antonio;Auteri, William;Petrone, Alfredo;Padolecchia, Riccardo;Tassinari, Tiziana;Pavia, Marco;Invernizzi, Paolo;Turcato, Gianni;Forlivesi, Stefano;Ciceri, Elisa Francesca Maria;Bonetti, Bruno;Inzitari, Domenico;Toni, Danilo;, ;
Journal Stroke
Year 2019
DOI
10.1161/STROKEAHA.118.023316
URL
Keywords
thrombectomy standard of care nomograms logistic models contraindications

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.