Urine toxicology screening in an urban stroke and TIA population
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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.
GLOSSARY
- MDMA=
- 3,4-methylenedioxy-N-methylamphetamin;
- NIHSS=
- NIH Stroke Scale;
- TOAST=
- Trial of Org 10172 in Acute Stroke Treatment;
- tPA=
- tissue plasminogen activator
Based on surveys conducted in 2010, the Centers for Disease Control estimated that 8.9% of individuals aged 12 years and older in the United States used illicit drugs such as marijuana, cocaine, and heroin in the prior month.1 The estimate of cocaine use was 0.6% of the population (1.5 million people) and the estimate of heroin use was 0.08% (200,000 people).
The use of illicit drugs, in particular cocaine, has been associated with the occurrence of stroke.2,–,7 Identification of patients who use illicit drugs might be useful for interventions promoting secondary prevention. However, current US guidelines do not include routine screening for illicit drugs.8 Specifically, the guidelines state “a toxicology screen, blood alcohol level, arterial blood gas, and pregnancy test should be obtained if the physician is uncertain about the patient's history or as suggested by findings on examination.”8 Therefore, the decision to test patients is at the discretion of the treating physician.
We sought to determine the rate of urine toxicology screening and differences in testing among patients with stroke and TIA presenting to a tertiary care emergency department. We further sought to compare stroke severity, stroke mechanisms, and discharge outcomes among those with positive and negative toxicologies.
METHODS
Standard protocol approvals, registrations, and patient consents.
The study was approved by the local ethics review board (IRB no. 3761).
Study design, setting, and patient population.
A database from a single tertiary care institution was used for this study. Patients aged 18 years and older who were admitted with ischemic stroke, intracerebral hemorrhage, and TIA were included in the database. Patients with subarachnoid hemorrhage were not included in the database at that time. Patients admitted between June 1, 2005 and January 31, 2007 were included in this study. Charts were reviewed retrospectively for information on demographics, medical history, urine toxicology screening, admission NIHSS scores,9 treatment with tissue plasminogen activator (tPA), discharge status, and TOAST (Trial of Org 10172 in Acute Stroke Treatment) classification10 for patients with ischemic stroke. Patient race was defined as black, white, Asian, American Indian/Alaskan Native, and Native Hawaiian/Pacific Islander. Race identification was performed by the admission clerk for the hospitalization. Diabetes, hypertension, coronary artery disease, peripheral arterial disease, and prior stroke were defined as a history or treatment of the condition. Smoking was categorized as ever or never. In cases in which the NIHSS score was not recorded in the chart, it was calculated retrospectively based on the admission neurologic examination.11 TOAST classification of ischemic stroke was defined as large-vessel atherosclerosis, cardioembolic, lacunar, other etiology, and undetermined. Discharge status was categorized as home, rehabilitation, skilled nursing facility, and death. Urine toxicology results were included if performed during the same admission. Results of cocaine and opiate screening were recorded. Other drugs of abuse such as MDMA (3,4-methylenedioxy-N-methylamphetamin), methamphetamine, and phencyclidine were not part of the toxicology screen. Cannabinoids were part of the screen and positive results were recorded. The specific presence of cocaine and heroin as part of multidrug positive results was recorded but not cannabinoids.
Urine toxicology testing by age, sex, and race were analyzed. For those who had testing, results by age, sex, and race were evaluated. The admission NIHSS scores, tPA treatment rates, TOAST classification of ischemic stroke, and discharge status of toxicology-positive and -negative patients were compared.
Statistical analysis.
The study population's demographic and clinical characteristics were described with frequency measures and means ± SDs. Differences in urine toxicologies were evaluated with χ2 tests for the categorical measures and 2-sample t test for the continuous measures. Univariate factors with a p value of <0.20 were entered into a multivariable logistic regression model for the prediction of urine toxicology testing. Statistical significance was assessed at the type-I error level of 0.05. All tests were 2-sided.
RESULTS
Between June 1, 2005 and January 31, 2007, 1,042 patients were admitted with a diagnosis of stroke or TIA. Of these patients, 704 had ischemic stroke, 133 had intracerebral hemorrhage, and 205 had TIA. Baseline characteristics of these groups are shown in table 1. Information on race was missing in 57 patients. Overall, urine toxicology was performed in 420 patients (40%). The rate of testing across categories was similar: 288 of 704 patients with ischemic stroke (40.9%), 57 of 133 patients with intracerebral hemorrhage (42.9%), and 75 of 205 patients with TIA (36.6%) (p = 0.44) had urine toxicology screening. The oldest person to undergo screening was 110 years. Patients were more likely to be tested if they were younger and black (table 2). One hundred one of 140 patients younger than 50 years (72%) were tested compared with 319 of 902 aged 50 years and older (35%) (p < 0.001). There was a steady decrease in the rate of testing the older the patient (table 2). There was also a trend for men to be tested more often (p = 0.064). Age and race remained significant after adjusting for diabetes, hypertension, previous stroke, sex, smoking status, and admission NIHSS score (results not presented). To assess potential differences in rates of testing among combinations of age, sex, and race populations, interactions among these demographic features were examined and none were found to be significant.
Patient characteristics
Performance and results of urine toxicology by age, sex, and race
Of all urine toxicologies performed, 47 of 420 (11%) were positive for cocaine. Those with intracerebral hemorrhage had the highest rate (24.6%) compared with those who had ischemic stroke (10.1%) or TIA (5.3%) (p = 0.001). Among patients who had urine toxicologies, the rate of a positive test for cocaine was highest among younger patients, men, and blacks (table 2). Nineteen percent (19/101) of patients younger than 50 years were cocaine-positive compared with 9% (28/319) aged 50 years and older (p = 0.005). The oldest person with a positive urine toxicology was 71 years old. With the exception of 1 subgroup in the entire cohort of tested patients (white males younger than 50 years), all categories had positive urine toxicologies for cocaine (figure).
The vertical axis represents the absolute number of patients who had a toxicology screen. The proportion of all patients tested within each category: (A) black male younger than 50 years = 78% (42/54); black female <50 years = 77% (43/56); black male 50 years and older 49% (117/241); black female 50 years and older 36% (109/299); (B) white male younger than 50 years 50% (7/14); white female younger than 50 years 67% (6/9); white male 50 years and older 24% (38/158); white female 50 years and older 22% (34/154). Gray is a negative screen and green is a positive screen.
Among patients having urine toxicologies, those with a positive result for cocaine had similar stroke severities, as measured by the NIHSS, and similar stroke mechanisms, as classified by the TOAST scheme, compared with those with negative toxicologies (table 3). Discharge locations also did not differ between both groups (table 3). Among 21 patients with ischemic stroke who tested positive for cocaine, none received tPA compared with 29 of 267 (10.9%) who tested negative (p = 0.15).
Admission NIHSS score,9 discharge location, and TOAST10 score by cocaine urine toxicology result
Additional analyses were done within the group of patients 50 years and older to assess the relationships between patient characteristics and positive test results for cocaine. Males had a significantly higher rate of positive results compared with females. The rate of positive results was highest for patients with intracerebral hemorrhage. There was also a trend for higher positive results in blacks compared with whites and Asians. No differences were detected in TOAST classification and discharge status when comparing cocaine-positive and -negative patients (table 4). In addition, no difference in admission NIHSS scores was detected between patients with and without positive results (positive mean 7.18 [SD = 9.7] vs negative mean 7.99 [SD = 9.7]; p = 0.67). These results reflect what was seen in the total group of tested patients.
Positive urine toxicology results for cocaine by patient characteristics in patients 50 years and older (n = 319)
A similar analysis was done for opiate screening in the urine. Overall, 74 of 420 patients (17.6%) were positive: 29.8% of patients with intracerebral hemorrhage, 20% of patients with TIA, and 14.6% of patients with ischemic stroke (p = 0.019). In contrast to the findings in the cocaine analysis, there was no significant difference in test results among those of different ages, sex, or race (table 2). Nineteen percent (19/101) of patients younger than 50 years were opiate-positive compared with 17% (55/319) of those aged 50 years and older (p = 0.718). The oldest person with a positive opiate screen was 90 years old. With the exception of white females younger than age 50, all categories of patients had positive urine toxicologies for opiates. Stroke severity as measured by the NIHSS, TOAST mechanisms, and discharge locations did not differ between opiate-positive and -negative patients (table 3). One of 20 opiate-positive patients (5%) received tPA compared with 41 of 226 opiate-negative patients (15%) (p = 0.33).
A positive cannabinoid result in isolation was found in 15 patients. The mean age of these patients was 54.4 ± 11.2 years; 12 were men and 14 were black. Event type was ischemic stroke in 9 (56% with large-vessel atherosclerosis), TIA in 5, and intracerebral hemorrhage in 1.
DISCUSSION
In this cohort of patients with stroke and TIA, representing individuals admitted to a tertiary care center in a major metropolitan city, we found that 40% of patients underwent urine toxicology testing and 11% (and 9% of patients 50 years or older) were positive for cocaine. We further identified a disparity in care whereby individuals who were younger and black were more likely to undergo screening. Despite the fact that patients from this profile were more likely to have positive urine toxicologies for cocaine (but not opiates), patients not fitting this profile also had positive toxicologies for cocaine and opiates. The potential impact of profiling in this situation is 2-fold. First, patients with positive cocaine toxicologies appeared less likely to receive thrombolytic therapy despite having similar stroke severities at admission. From the chart review, it was unclear why thrombolytics were not given in these cases. In many instances, the toxicology results came after the time window had passed so there may have been other factors leading to a decision not to treat. It is possible that the same factors that were associated with increased urine toxicology testing were associated with reduced treatment with thrombolytics, e.g., race.12 Nevertheless, patients with positive toxicologies may indeed benefit from thrombolysis. In a study of 29 patients, none of the patients with positive urine toxicologies for cocaine had an intracerebral hemorrhage and many had a good outcome.13 Second, patients who are not screened and are in fact using cocaine or opiates will miss the opportunity for counseling.
How health care to individuals of different race, sex, sexual orientation, and primary language is delivered has been the subject of a number of studies and reviews. In a study published in 1999, physicians viewing different actors describing chest pain symptoms were less likely to recommend cardiac catheterization for women and blacks.14 Analysis of race-sex interactions showed that black women were 60% less likely to be referred for cardiac catheterization than white men. A study published a decade later found that women were 50% more likely to have delayed ambulance transport for chest pain than men, after multivariate adjustment.15 Race was not associated with delays in transport time. During the same period, a study in Canada found that physicians were more likely to recommend total knee arthroplasty to a male standardized patient than a female standardized patient.16 When analyzed by specialty, family physicians were twice as likely to recommend the surgery to the male patient and orthopedic surgeons 22 times as likely. Language barriers may also produce health care disparities. In a cross-sectional study, the percentages of patients receiving all eligible health care services among different groups were as follows: English-speaking whites 57.0%, Hispanics speaking English at home 53.6%, Hispanics not speaking English at home but comfortable speaking English outside the home 44.9%, Hispanics not speaking English at home and uncomfortable speaking English outside the home 35.0%.17 Physicians as patients have also described their own experiences of disparities in care based on sexual orientation18 and race.19
Of note, 1 in 10 tested patients in this study were positive for cocaine (including those aged 50 and older). When only considering patients with intracerebral hemorrhage, 1 in 4 were positive. Positive results were identified up to age 71. Outside of this study, we have seen positive results in patients older than 80 years. The prevalence of stroke among individuals with drug use and the prevalence of drug use among stroke patients of all ages are not known nationally but several studies have examined this issue at a local level. In a study of 3,712 drug users, 13 (0.4%) were identified as having stroke.20 Seven (54%) events were ischemic stroke, 3 (23%) were subarachnoid hemorrhage, and 3 (23%) were intracerebral hemorrhage. Of 214 stroke patients aged 15 to 44 years admitted to San Francisco General Hospital, 63 (34%) were using drugs compared with 18 (8%) of control patients admitted for other diagnoses and matched for age, sex, and year of hospitalization.21 In this case-control study, the adjusted relative risk for stroke compared with non–drug-using patients was 6.5. A population-based study of 3,148,165 hospitalized patients in Texas found that amphetamine use was associated with hemorrhagic but not ischemic stroke whereas cocaine was associated with both stroke subtypes.22 Cocaine use was associated with an approximately 2-fold increased risk of both stroke subtypes whereas amphetamine use increased the risk of hemorrhagic stroke 5-fold. A case-control study of 347 stroke patients in northern and southern California among women aged 15 to 44 years found an adjusted odds ratio of 7.0 among women reporting use of cocaine and/or amphetamines.23 The study was done in an insured urban population as compared with prior studies suggesting that the potential mechanism of injury may occur independently of sociodemographic factors. In a study in Maryland, 167 stroke patients were asked about drug use. Information could not be obtained in 51 patients (31%) because of the stroke or failure to obtain a drug history.24 Of the remaining 116 patients, 11 (9.5%) were historically associated with drug use. The age range of patients was 25 to 56 years. Drugs reported included cocaine in 5 (45%), over-the-counter sympathomimetics in 3 (27%), phencyclidine in 2 (18%), and heroin in 1 (9%). Finally, in distinction to prior studies, a case-control study from Atlanta, Georgia did not find a relationship between crack cocaine use and stroke among 144 stroke patients aged 20 to 39 years.25 However, in that study, 43% of controls and 32% of stroke patients had used crack cocaine at any time whereas 21% of stroke patients and 16% of controls had used crack cocaine within 4 hours. Moreover, data regarding crack cocaine use at any time were missing in 54% of stroke patients and 33% of controls while date regarding use within 4 hours was missing in 61% of stroke patients and 54% of controls. The gaps in information in this study underscore the selectivity and potential bias of ad hoc screening.
Current data support the notion that drug-related stroke may be a consequence of the pharmacodynamic effect rather than a vasculopathy. An autopsy study of 12 patients who had intracerebral or subarachnoid hemorrhage in the setting of cocaine use found no evidence of vasculitic changes within the vessel walls.26 In fact, arterioles were either normal or showed nonspecific changes. A separate autopsy study of 17 patients who had parenchymal or subarachnoid hemorrhage, of whom 10 were positive for cocaine, also found no evidence of vasculitis or vasculopathy.27 In the San Francisco General Hospital study, the relative risk of stroke increased to 49.4 for patients who had symptoms within 6 hours of drug consumption.21 Although the absolute number of patients was relatively small, we observed a higher rate of lacunar mechanism of ischemic stroke (43%) among cocaine-positive patients than all other subgroups (i.e., cocaine-negative patients and opiate-positive or -negative patients [26%–28%]). Mechanisms of stroke among patients with substance abuse merit further study.
There are several limitations of this study. First, the study was conducted in a major metropolitan city and may not be representative of other areas of the country. Second, despite the fact that cases of stroke and TIA were collected prospectively, the analysis of cases was done retrospectively through chart review. Therefore, relevant information such as NIHSS score was not available for all patients and may have led to inaccurate estimates of stroke severity at admission for either group. Third, the clinical evaluation plan of the treating physician was not explored in this study and may have provided additional clues as to differences observed. Fourth, there is no long-term follow-up beyond the period of discharge, which may have affected the findings in patient outcome. Fifth, the identification of race was by an administrative clerk at admission rather than patient self-report. In many cases, patients were cognitively impaired and would not have been able to respond to that question. However, this limitation may actually be beneficial within the context of this study. How another individual assigns race of a patient may influence the likelihood of urine toxicology screening. Therefore, the assignment of category by an outside observer rather than the patient themselves may be more relevant in this circumstance. Sixth, the toxicology screening described in this study does not distinguish between different types of opiates or systemic levels. Such information would be useful to not only identify abuse of illicit substances but also to identify overuse/abuse of prescription opiates. In addition, the toxicology screening did not include newer drugs of abuse such as MDMA, methamphetamine, and phencyclidine. Finally, information on patients with subarachnoid hemorrhage was not collected. This subgroup of patients could be a subject of a future study on urine toxicology screening.
Given the findings in this study, and despite its limitations, we submit that current guidelines for stroke and TIA should be updated to recommend urine toxicology screening for all patients. Additional studies evaluating the health effects and cost implications of routine screening in patients with stroke and TIA would be informative on this topic.
AUTHOR CONTRIBUTIONS
Brian Silver, MD: drafting/revising the manuscript, study concept and design, analysis and interpretation of data, study supervision and coordination. Daniel Miller, MD, Nawaf Murshed, MD, Patricia Garcia, DO, Patricia Penstone, RN, Melissa Straub, MSII, Sean P. Logan, MD, and Anita Sinha, MD: revising the manuscript for content, acquisition of data, analysis and interpretation of data. Michelle Jankowski, MAS, and Lonni R. Schultz, PhD: revising the manuscript for content, statistical analysis, analysis and interpretation of data. Daniel C. Morris, MD, Angelos Katramados, MD, Andrew N. Russman, DO, and Panayiotis D. Mitsias, MD, PhD: revising the manuscript for content, analysis and interpretation of data.
STUDY FUNDING
No targeted funding reported.
DISCLOSURE
B. Silver has provided expert testimony in medical malpractice defense cases related to stroke and has received compensation for authorship at Medlink, Medscape, and Oakstone Publishing. D.C. Morris is supported by NIH/NIA grant AG038648-01. P. Mitsias is supported by NIH/NINDS grant R01 NS070922. The remaining authors report no disclosures. Go to Neurology.org for full disclosures.
Footnotes
The study was performed at Henry Ford Hospital at the time that all authors worked there.
Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.
Editorial, page 1632
- Received September 9, 2012.
- Accepted in final form January 28, 2013.
- © 2013 American Academy of Neurology
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