Literature DB >> 21597014

Intravenous thrombolysis in nonagenarians with ischemic stroke.

Hakan Sarikaya1, Marcel Arnold, Stefan T Engelter, Philippe A Lyrer, Patrik Michel, Céline Odier, Bruno Weder, Barbara Tettenborn, Felix Mueller, Lucka Sekoranja, Roman Sztajzel, Pietro Ballinari, Heinrich P Mattle, Ralf W Baumgartner.   

Abstract

BACKGROUND AND
PURPOSE: Demographic changes will result in a rapid increase of patients age ≥90 years (nonagenarians), but little is known about outcomes in these patients after intravenous thrombolysis (IVT) for acute ischemic stroke. We aimed to assess safety and functional outcome in nonagenarians treated with IVT and to compare the outcomes with those of patients age 80 to 89 years (octogenarians).
METHODS: We analyzed prospectively collected data of 284 consecutive stroke patients age ≥80 years treated with IVT in 7 Swiss stroke units. Presenting characteristics, favorable outcome (modified Rankin scale [mRS] 0 or 1), mortality at 3 months, and symptomatic intracranial hemorrhage (SICH) using the National Institute of Neurological Disorders and Stroke (NINDS) and Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SITS-MOST) criteria were compared between nonagenarians and octogenarians.
RESULTS: As compared with octogenarians (n=238; mean age, 83 years), nonagenarians (n=46; mean age, 92 years) were more often women (70% versus 54%; P=0.046) and had lower systolic blood pressure (161 mm Hg versus 172 mm Hg; P=0.035). Patients age ≥90 years less often had a favorable outcome and had a higher incidence of mortality than did patients age 80 to 89 years (14.3% versus 30.2%; P=0.034; and 45.2% versus 22.1%; P=0.002; respectively), while more nonagenarians than octogenarians experienced a SICH (SICH(NINDS), 13.3% versus 5.9%; P=0.106; SICH(SITS-MOST), 13.3% versus 4.7%; P=0.037). Multivariate adjustment identified age ≥90 years as an independent predictor of mortality (P=0.017).
CONCLUSIONS: Our study suggests less favorable outcomes in nonagenarians as compared with octogenarians after IVT for ischemic stroke, and it demands a careful selection for treatment, unless randomized controlled trials yield more evidence for IVT in very old stroke patients.

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Year:  2011        PMID: 21597014     DOI: 10.1161/STROKEAHA.110.601252

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  6 in total

1.  Endovascular treatment of acute ischemic stroke in nonagenarians compared with younger patients in a multicenter cohort.

Authors:  Muhib A Khan; Grayson L Baird; David Miller; Anand Patel; Shawn Tsekhan; Shadi Yaghi; Ajit Puri; Mahesh Jayaraman; Nils Henninger; Brian Silver
Journal:  J Neurointerv Surg       Date:  2016-07-11       Impact factor: 5.836

Review 2.  Prevention and Treatment of Acute Stroke in the Nonagenarians and Beyond: Medical and Ethical Issues.

Authors:  Tiberiu A Pana; Jesus A Perdomo-Lampignano; Phyo K Myint
Journal:  Curr Treat Options Neurol       Date:  2019-05-08       Impact factor: 3.598

Review 3.  Safety and efficacy of thrombolysis with intravenous alteplase in older stroke patients.

Authors:  Hakan Sarikaya
Journal:  Drugs Aging       Date:  2013-04       Impact factor: 3.923

4.  No Impact of Body Mass Index on Outcome in Stroke Patients Treated with IV Thrombolysis BMI and IV Thrombolysis Outcome.

Authors:  Meret Branscheidt; Juliane Schneider; Patrik Michel; Elissavet Eskioglou; Georg Kaegi; Robert Stark; Urs Fischer; Simon Jung; Marcel Arnold; Maria Wertli; Ulrike Held; Susanne Wegener; Andreas Luft; Hakan Sarikaya
Journal:  PLoS One       Date:  2016-10-11       Impact factor: 3.240

5.  Intravenous thrombolytic treatment in the oldest old.

Authors:  Juan García-Caldentey; María Alonso de Leciñana; Patricia Simal; Blanca Fuentes; Gemma Reig; Fernando Díaz-Otero; Marta Guillán; Ana García; Patricia Martínez; Andrés García-Pastor; José Antonio Egido; Exuperio Díez-Tejedor; Antonio Gil-Núñez; José Vivancos; Jaime Masjuan
Journal:  Stroke Res Treat       Date:  2012-07-16

6.  Prediction of stroke thrombolysis outcome using CT brain machine learning.

Authors:  Paul Bentley; Jeban Ganesalingam; Anoma Lalani Carlton Jones; Kate Mahady; Sarah Epton; Paul Rinne; Pankaj Sharma; Omid Halse; Amrish Mehta; Daniel Rueckert
Journal:  Neuroimage Clin       Date:  2014-03-30       Impact factor: 4.881

  6 in total

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