Literature DB >> 31366724

Validation of a clinical-genetics score to predict hemorrhagic transformations after rtPA.

Caty Carrera1, Natalia Cullell1, Nuria Torres-Águila1, Elena Muiño1, Alejandro Bustamante1, Antonio Dávalos1, Elena López-Cancio1, Marc Ribó1, Carlos A Molina1, Eva Giralt-Steinhauer1, Carolina Soriano-Tárraga1, Marina Mola-Caminal1, Jordi Jiménez-Conde1, Jaume Roquer1, Cristófol Vives-Bauza1, Rosa Díaz Navarro1, Victor Obach1, Juan Francisco Arenillas1, Tomás Segura1, Gemma Serrano-Heras1, Joan Martí-Fàbregas1, Marimar Freijo1, Juan Antonio Cabezas1, Turgut Tatlisumak1, Laura Heitsch1, Laura Ibañez1, Carlos Cruchaga1, Jin-Moo Lee1, Daniel Strbian1, Joan Montaner1, Israel Fernández-Cadenas2.   

Abstract

OBJECTIVE: To validate the Genot-PA score, a clinical-genetic logistic regression score that stratifies the thrombolytic therapy safety, in a new cohort of patients with stroke.
METHODS: We enrolled 1,482 recombinant tissue plasminogen activator (rtPA)-treated patients with stroke in Spain and Finland from 2003 to 2016. Cohorts were analyzed on the basis of ethnicity and therapy: Spanish patients treated with IV rtPA within 4.5 hours of onset (cohort A and B) or rtPA in combination with mechanical thrombectomy within 6 hours of onset (cohort C) and Finnish participants treated with IV rtPA within 4.5 hours of onset (cohort D). The Genot-PA score was calculated, and hemorrhagic transformation (HT) and parenchymal hematoma (PH) risks were determined for each score stratum.
RESULTS: Genot-PA score was tested in 1,324 (cohort A, n = 726; B, n = 334; C, n = 54; and D, n = 210) patients who had enough information to complete the score. Of these, 213 (16.1%) participants developed HT and 85 (6.4%) developed PH. In cohorts A, B, and D, HT occurrence was predicted by the score (p = 2.02 × 10-6, p = 0.023, p = 0.033); PH prediction was associated in cohorts A through C (p = 0.012, p = 0.034, p = 5.32 × 10-4). Increased frequency of PH events from the lowest to the highest risk group was found (cohort A 4%-15.7%, cohort B 1.5%-18.2%, cohort C 0%-100%). The best odds ratio for PH prediction in the highest-risk group was obtained in cohort A (odds ratio 5.16, 95% confidence interval 1.46-18.08, p = 0.009).
CONCLUSION: The Genot-PA score predicts HT in patients with stroke treated with IV rtPA. Moreover, in an exploratory study, the score was associated with PH risk in mechanical thrombectomy-treated patients.
© 2019 American Academy of Neurology.

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Year:  2019        PMID: 31366724      PMCID: PMC6745730          DOI: 10.1212/WNL.0000000000007997

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  37 in total

1.  Risk score for intracranial hemorrhage in patients with acute ischemic stroke treated with intravenous tissue-type plasminogen activator.

Authors:  Bijoy K Menon; Jeffrey L Saver; Shyam Prabhakaran; Mathew Reeves; Li Liang; Daiwai M Olson; Eric D Peterson; Adrian F Hernandez; Gregg C Fonarow; Lee H Schwamm; Eric E Smith
Journal:  Stroke       Date:  2012-07-17       Impact factor: 7.914

2.  Patient outcomes from symptomatic intracerebral hemorrhage after stroke thrombolysis.

Authors:  D Strbian; T Sairanen; A Meretoja; J Pitkäniemi; J Putaala; O Salonen; H Silvennoinen; M Kaste; T Tatlisumak
Journal:  Neurology       Date:  2011-06-29       Impact factor: 9.910

3.  Symptomatic intracranial hemorrhage after stroke thrombolysis: the SEDAN score.

Authors:  Daniel Strbian; Stefan Engelter; Patrik Michel; Atte Meretoja; Lucka Sekoranja; Frank J Ahlhelm; Satu Mustanoja; Igor Kuzmanovic; Tiina Sairanen; Nina Forss; Maria Cordier; Philippe Lyrer; Markku Kaste; Turgut Tatlisumak
Journal:  Ann Neurol       Date:  2012-05       Impact factor: 10.422

4.  A risk score to predict intracranial hemorrhage after recombinant tissue plasminogen activator for acute ischemic stroke.

Authors:  Brett Cucchiara; David Tanne; Steven R Levine; Andrew M Demchuk; Scott Kasner
Journal:  J Stroke Cerebrovasc Dis       Date:  2008 Nov-Dec       Impact factor: 2.136

5.  Thrombolysis with alteplase 3-4.5 h after acute ischaemic stroke (SITS-ISTR): an observational study.

Authors:  Nils Wahlgren; Niaz Ahmed; Antoni Dávalos; Werner Hacke; Mónica Millán; Keith Muir; Risto O Roine; Danilo Toni; Kennedy R Lees
Journal:  Lancet       Date:  2008-09-12       Impact factor: 79.321

6.  Thrombolysis-related hemorrhagic infarction: a marker of early reperfusion, reduced infarct size, and improved outcome in patients with proximal middle cerebral artery occlusion.

Authors:  Carlos A Molina; José Alvarez-Sabín; Joan Montaner; Sonia Abilleira; Juan F Arenillas; Pilar Coscojuela; Francisco Romero; Agusti Codina
Journal:  Stroke       Date:  2002-06       Impact factor: 7.914

7.  Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials.

Authors:  Werner Hacke; Geoffrey Donnan; Cesare Fieschi; Markku Kaste; Rüdiger von Kummer; Joseph P Broderick; Thomas Brott; Michael Frankel; James C Grotta; E Clarke Haley; Thomas Kwiatkowski; Steven R Levine; Chris Lewandowski; Mei Lu; Patrick Lyden; John R Marler; Suresh Patel; Barbara C Tilley; Gregory Albers; Erich Bluhmki; Manfred Wilhelm; Scott Hamilton
Journal:  Lancet       Date:  2004-03-06       Impact factor: 79.321

8.  Matrix metalloproteinase-9 pretreatment level predicts intracranial hemorrhagic complications after thrombolysis in human stroke.

Authors:  Joan Montaner; Carlos A Molina; Jasone Monasterio; Sonia Abilleira; Juan F Arenillas; Marc Ribó; Manolo Quintana; José Alvarez-Sabín
Journal:  Circulation       Date:  2003-02-04       Impact factor: 29.690

Review 9.  Factors influencing haemorrhagic transformation in ischaemic stroke.

Authors:  José Álvarez-Sabín; Olga Maisterra; Estevo Santamarina; Carlos S Kase
Journal:  Lancet Neurol       Date:  2013-05-31       Impact factor: 44.182

10.  Plasma cellular-fibronectin concentration predicts hemorrhagic transformation after thrombolytic therapy in acute ischemic stroke.

Authors:  Mar Castellanos; Rogelio Leira; Joaquín Serena; Miguel Blanco; Salvador Pedraza; José Castillo; Antoni Dávalos
Journal:  Stroke       Date:  2004-05-27       Impact factor: 7.914

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  4 in total

Review 1.  Intracranial Bleeding After Reperfusion Therapy in Acute Ischemic Stroke.

Authors:  Guillaume Charbonnier; Louise Bonnet; Alessandra Biondi; Thierry Moulin
Journal:  Front Neurol       Date:  2021-02-09       Impact factor: 4.003

2.  Predicting Factors of Functional Outcome in Patients with Acute Ischemic Stroke Admitted to Neuro-Intensive Care Unit-A Prospective Cohort Study.

Authors:  Fabio Pilato; Serena Silva; Iacopo Valente; Marisa Distefano; Aldobrando Broccolini; Valerio Brunetti; Pietro Caliandro; Giacomo Della Marca; Riccardo Di Iorio; Giovanni Frisullo; Mauro Monforte; Roberta Morosetti; Carla Piano; Rosalinda Calandrelli; Fioravante Capone; Andrea Alexandre; Alessandro Pedicelli; Cesare Colosimo; Anselmo Caricato
Journal:  Brain Sci       Date:  2020-11-26

Review 3.  Translational Genomics in Neurocritical Care: a Review.

Authors:  Pavlos Myserlis; Farid Radmanesh; Christopher D Anderson
Journal:  Neurotherapeutics       Date:  2020-04       Impact factor: 7.620

4.  International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery.

Authors:  Arne G Lindgren; Robynne G Braun; Jennifer Juhl Majersik; Philip Clatworthy; Shraddha Mainali; Colin P Derdeyn; Jane Maguire; Christina Jern; Jonathan Rosand; John W Cole; Jin-Moo Lee; Pooja Khatri; Paul Nyquist; Stéphanie Debette; Loo Keat Wei; Tatjana Rundek; Dana Leifer; Vincent Thijs; Robin Lemmens; Laura Heitsch; Kameshwar Prasad; Jordi Jimenez Conde; Martin Dichgans; Natalia S Rost; Steven C Cramer; Julie Bernhardt; Bradford B Worrall; Israel Fernandez-Cadenas
Journal:  Int J Stroke       Date:  2021-04-26       Impact factor: 5.266

  4 in total

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