Literature DB >> 23596074

Urine toxicology screening in an urban stroke and TIA population.

Brian Silver1, Daniel Miller, Michelle Jankowski, Nawaf Murshed, Patricia Garcia, Patricia Penstone, Melissa Straub, Sean P Logan, Anita Sinha, Daniel C Morris, Angelos Katramados, Andrew N Russman, Panayiotis D Mitsias, Lonni R Schultz.   

Abstract

OBJECTIVE: We sought to determine the rate of urine toxicology screening, differences in testing, and outcomes among patients with stroke and TIA presenting to a tertiary care emergency department.
METHODS: In this retrospective cohort study, patients admitted with stroke or TIA to a single tertiary care stroke center between June 2005 and January 2007 were identified through a stroke database. Factors that predicted urine toxicology screening of patients and a positive test, and discharge outcomes of patients based on toxicology result were analyzed. Stroke severity, treatment with tissue plasminogen activator, discharge status, and stroke etiology were compared between toxicology positive and negative patients.
RESULTS: A total of 1,024 patients were identified: 704 with ischemic stroke, 133 with intracerebral hemorrhage, and 205 with TIA. Urine toxicology screening was performed in 420 patients (40%); 11% of these studies were positive for cocaine (19% younger than 50 years and 9% 50 years or older). Factors that significantly predicted the performance of a urine toxicology screen were younger age (<50 years) and black race (<0.001). Positive toxicology screens occurred in a broad range of patients. There were no significant differences in admission NIH Stroke Scale score, stroke etiology, and discharge status between toxicology-positive and -negative patients.
CONCLUSIONS: In this study, patients with stroke and TIA who were young and black were more likely to have urine toxicology screening. Eleven percent of all tested patients (and 9% of patients 50 years or older) were positive for cocaine. To avoid disparities, we suggest that all stroke and TIA patients be tested.

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Year:  2013        PMID: 23596074     DOI: 10.1212/WNL.0b013e318293e2fe

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


  6 in total

1.  Substance Use and Performance of Toxicology Screens in the Greater Cincinnati Northern Kentucky Stroke Study.

Authors:  Tracy E Madsen; Olivia W Cummings; Felipe De Los Rios La Rosa; Jane C Khoury; Kathleen Alwell; Daniel Woo; Simona Ferioli; Sharyl Martini; Opeolu Adeoye; Pooja Khatri; Matthew L Flaherty; Jason Mackey; Eva A Mistry; Stacie L Demel; Elisheva Coleman; Adam S Jasne; Sabreena J Slavin; Kyle Walsh; Michael Star; Joseph P Broderick; Brett M Kissela; Dawn O Kleindorfer
Journal:  Stroke       Date:  2022-07-07       Impact factor: 10.170

2.  Ultrasensitive detection of 3D cerebral microvascular network dynamics in vivo.

Authors:  Yingtian Pan; Jiang You; Nora D Volkow; Kicheon Park; Congwu Du
Journal:  Neuroimage       Date:  2014-09-02       Impact factor: 6.556

3.  Social History Matters-The Impact of Illicit Drug Use on tPA Use and In-Hospital Mortality in Acute Ischemic Stroke.

Authors:  Matthew H M Marx; Karen C Albright; Amir Shaban; Amelia K Boehme; T Mark Beasley; Sheryl Martin-Schild
Journal:  Int Neuropsychiatr Dis J       Date:  2014-05

4.  Disparities and guideline adherence in drugs of abuse screening in intracerebral hemorrhage.

Authors:  Laura M Tormoehlen; Ashley D Blatsioris; Elizabeth A S Moser; Ravan J L Carter; Alec Stevenson; Susan Ofner; Abigail L Hulin; Darren P O'Neill; Aaron A Cohen-Gadol; Thomas J Leipzig; Linda S Williams; Jason Mackey
Journal:  Neurology       Date:  2016-12-07       Impact factor: 9.910

5.  Socioeconomic status does not predict cocaine use among ischemic stroke patients: A nested case-control study.

Authors:  Corey R Fehnel; Alison M Ayres; Natalia S Rost
Journal:  JRSM Cardiovasc Dis       Date:  2014-06-18

6.  Diagnostic Yield of Universal Urine Toxicology Screening in an Unselected Cohort of Stroke Patients.

Authors:  Rizwan Kalani; Eric M Liotta; Shyam Prabhakaran
Journal:  PLoS One       Date:  2015-12-16       Impact factor: 3.240

  6 in total

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