Literature DB >> 29907947

Introduction of direct oral anticoagulant within 7 days of stroke onset: a nomogram to predict the probability of 3-month modified Rankin Scale score > 2.

Manuel Cappellari1, Gianni Turcato2, Stefano Forlivesi3, Nicola Micheletti3, Giampaolo Tomelleri3, Bruno Bonetti3, Giovanni Merlino4, Roberto Eleopra5, Monia Russo6, Roberto L'Erario6, Alessandro Adami7, Carolina Gentile4, Anna Gaudenzi8, Sandro Bruno8, Paolo Bovi3.   

Abstract

In clinical practice, direct oral anticoagulants (DOACs) are often started earlier (≤ 7 days) than in randomized clinical trials after stroke. We aimed to develop a nomogram model incorporating time of DOAC introduction ≤ 7 days of stroke onset in combination with different degrees of stroke radiological/neurological severity at the time of treatment to predict the probability of unfavorable outcome. We conducted a multicenter prospective study including 344 patients who started DOAC 1-7 days after atrial fibrillation-related stroke onset. Computed tomography scan 24-36 h after stroke onset was performed in all patients before starting DOAC. Unfavorable outcome was defined as modified Rankin Scale (mRS) score > 2 at 3 months. Based on multivariate logistic model, the nomogram was generated. We assessed the discriminative performance by using the area under the receiver operating characteristic curve (AUC-ROC) and calibration of risk prediction model by using the Hosmer-Lemeshow test. Onset-to-treatment time for DOAC (OR: 1.21, p = 0.030), NIH Stroke Scale (NIHSS) score at the time of treatment (OR: 1.00 for NIHSS = 0-5; OR: 2.67, p = 0.016 for NIHSS = 6-9; OR: 26.70, p < 0.001 for NIHSS = 10-14; OR: 57.48, p < 0.001 for NIHSS ≥ 15), size infarct (OR: 1.00 for small infarct; OR: 2.26, p = 0.023 for medium infarct; OR: 3.40, p = 0.005 for large infarct), and age ≥ 80 years (OR: 1.96, p = 0.028) remained independent predictors of unfavorable outcome to compose the nomogram. The AUC-ROC of nomogram was 0.858. Calibration was good (p = 2.889 for the Hosmer-Lemeshow test). The combination of onset-to-treatment time of DOAC with stroke radiological/neurological severity at the time of treatment and old age may predict the probability of unfavorable outcome.

Entities:  

Keywords:  Atrial fibrillation; Direct oral anticoagulants; Nomogram; Outcome; Stroke

Mesh:

Substances:

Year:  2018        PMID: 29907947     DOI: 10.1007/s11239-018-1700-8

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  19 in total

1.  STARTING-SICH Nomogram to Predict Symptomatic Intracerebral Hemorrhage After Intravenous Thrombolysis for Stroke.

Authors:  Manuel Cappellari; Gianni Turcato; Stefano Forlivesi; Cecilia Zivelonghi; Paolo Bovi; Bruno Bonetti; Danilo Toni
Journal:  Stroke       Date:  2018-01-08       Impact factor: 7.914

2.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

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3.  The novel biomarker-based ABC (age, biomarkers, clinical history)-bleeding risk score for patients with atrial fibrillation: a derivation and validation study.

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Journal:  Lancet       Date:  2016-04-04       Impact factor: 79.321

4.  Nonvitamin-K-antagonist oral anticoagulants versus warfarin in patients with atrial fibrillation and previous stroke or transient ischemic attack: An updated systematic review and meta-analysis of randomized controlled trials.

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Journal:  Int J Stroke       Date:  2017-03-15       Impact factor: 5.266

5.  Early use of direct oral anticoagulants after TIA/stroke in patients with atrial fibrillation: a 2016 update.

Authors:  Manuel Cappellari; Paolo Bovi
Journal:  J Thromb Thrombolysis       Date:  2017-04       Impact factor: 2.300

6.  Prediction of Early Recurrent Thromboembolic Event and Major Bleeding in Patients With Acute Stroke and Atrial Fibrillation by a Risk Stratification Schema: The ALESSA Score Study.

Authors:  Maurizio Paciaroni; Giancarlo Agnelli; Valeria Caso; Georgios Tsivgoulis; Karen L Furie; Prasanna Tadi; Cecilia Becattini; Nicola Falocci; Marialuisa Zedde; Azmil H Abdul-Rahim; Kennedy R Lees; Andrea Alberti; Michele Venti; Monica Acciarresi; Cataldo D'Amore; Maria Giulia Mosconi; Ludovica Anna Cimini; Antonio Procopio; Paolo Bovi; Monica Carletti; Alberto Rigatelli; Manuel Cappellari; Jukka Putaala; Liisa Tomppo; Turgut Tatlisumak; Fabio Bandini; Simona Marcheselli; Alessandro Pezzini; Loris Poli; Alessandro Padovani; Luca Masotti; Vieri Vannucchi; Sung-Il Sohn; Gianni Lorenzini; Rossana Tassi; Francesca Guideri; Maurizio Acampa; Giuseppe Martini; George Ntaios; Efstathia Karagkiozi; George Athanasakis; Kostantinos Makaritsis; Kostantinos Vadikolias; Chrysoula Liantinioti; Maria Chondrogianni; Nicola Mumoli; Domenico Consoli; Franco Galati; Simona Sacco; Antonio Carolei; Cindy Tiseo; Francesco Corea; Walter Ageno; Marta Bellesini; Giovanna Colombo; Giorgio Silvestrelli; Alfonso Ciccone; Umberto Scoditti; Licia Denti; Michelangelo Mancuso; Miriam Maccarrone; Giovanni Orlandi; Nicola Giannini; Gino Gialdini; Tiziana Tassinari; Maria Luisa De Lodovici; Giorgio Bono; Christina Rueckert; Antonio Baldi; Sebastiano D'Anna; Danilo Toni; Federica Letteri; Martina Giuntini; Enrico Maria Lotti; Yuriy Flomin; Alessio Pieroni; Odysseas Kargiotis; Theodore Karapanayiotides; Serena Monaco; Mario Maimone Baronello; Laszló Csiba; Lilla Szabó; Alberto Chiti; Elisa Giorli; Massimo Del Sette; Davide Imberti; Dorjan Zabzuni; Boris Doronin; Vera Volodina; Patrik Michel; Peter Vanacker; Kristian Barlinn; Lars-Peder Pallesen; Jessica Kepplinger; Ulf Bodechtel; Johannes Gerber; Dirk Deleu; Gayane Melikyan; Faisal Ibrahim; Naveed Akhtar; Vanessa Gourbali; Shadi Yaghi
Journal:  Stroke       Date:  2017-02-09       Impact factor: 7.914

7.  Relationship between neurologic deficit severity and final functional outcome shifts and strengthens during first hours after onset.

Authors:  Jeffrey L Saver; Hernan Altman
Journal:  Stroke       Date:  2012-04-05       Impact factor: 7.914

8.  The START nomogram for individualized prediction of the probability of unfavorable outcome after intravenous thrombolysis for stroke.

Authors:  Manuel Cappellari; Gianni Turcato; Stefano Forlivesi; Fabio Bagante; Gianfranco Cervellin; Giuseppe Lippi; Bruno Bonetti; Paolo Bovi; Danilo Toni
Journal:  Int J Stroke       Date:  2018-03-15       Impact factor: 5.266

9.  Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: a retrospective analysis.

Authors:  Dario Callegaro; Rosalba Miceli; Sylvie Bonvalot; Peter Ferguson; Dirk C Strauss; Antonin Levy; Anthony Griffin; Andrew J Hayes; Silvia Stacchiotti; Cecile Le Pechoux; Myles J Smith; Marco Fiore; Angelo P Dei Tos; Henry G Smith; Luigi Mariani; Jay S Wunder; Raphael E Pollock; Paolo G Casali; Alessandro Gronchi
Journal:  Lancet Oncol       Date:  2016-04-05       Impact factor: 41.316

10.  Edoxaban versus warfarin in patients with atrial fibrillation.

Authors:  Robert P Giugliano; Christian T Ruff; Eugene Braunwald; Sabina A Murphy; Stephen D Wiviott; Jonathan L Halperin; Albert L Waldo; Michael D Ezekowitz; Jeffrey I Weitz; Jindřich Špinar; Witold Ruzyllo; Mikhail Ruda; Yukihiro Koretsune; Joshua Betcher; Minggao Shi; Laura T Grip; Shirali P Patel; Indravadan Patel; James J Hanyok; Michele Mercuri; Elliott M Antman
Journal:  N Engl J Med       Date:  2013-11-19       Impact factor: 91.245

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  2 in total

1.  A NADE nomogram to predict the probability of 6-month unfavorable outcome in Chinese patients with ischemic stroke.

Authors:  Chao Sun; Xiang Li; Baili Song; Xiangliang Chen; Linda Nyame; Yukai Liu; Dan Tang; Mako Ibrahim; Zheng Zhao; Chao Liu; Miao Yan; Xiding Pan; Jie Yang; Junshan Zhou; Jianjun Zou
Journal:  BMC Neurol       Date:  2019-11-07       Impact factor: 2.474

2.  Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning.

Authors:  Xiang Li; XiDing Pan; ChunLian Jiang; MingRu Wu; YuKai Liu; FuSang Wang; XiaoHan Zheng; Jie Yang; Chao Sun; YuBing Zhu; JunShan Zhou; ShiHao Wang; Zheng Zhao; JianJun Zou
Journal:  Front Neurol       Date:  2020-11-19       Impact factor: 4.003

  2 in total

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