| Literature DB >> 21714938 |
Jonathan M Coutinho1, Eva C Klaver, Yvo B Roos, Jan Stam, Paul J Nederkoorn.
Abstract
BACKGROUND: Ethnic differences have been reported with regard to several medical therapies. The aim of this study was to investigate the relation between ethnicity and thrombolysis in stroke patients.Entities:
Mesh:
Year: 2011 PMID: 21714938 PMCID: PMC3145566 DOI: 10.1186/1471-2377-11-81
Source DB: PubMed Journal: BMC Neurol ISSN: 1471-2377 Impact factor: 2.474
Baseline characteristics
| White | Non-white | P-value | |
|---|---|---|---|
| Black | - | 53% | |
| Asian | - | 37% | |
| Turkish | - | 3% | |
| Moroccan | - | 1% | |
| Other | - | 6% | |
| Gender (% female) | 45% | 54% | 0.08 |
| Age | 69 (59-79) | 60 (49-72) | < 0.001 |
| BMI | 25 (23-27) | 27 (24-31) | 0.03 |
| Systolic blood pressure | 150 (135-176) | 160 (140-186) | 0.02 |
| Diastolic blood pressure | 82 (75-95) | 90 (80-100) | 0.003 |
| NIHSS | 5 (2-12) | 4 (2-6) | 0.04 |
| Small-vessel disease | 36% | 59% | < 0.001 |
| Large-vessel disease | 40% | 25% | |
| Cardioembolic stroke | 15% | 8% | |
| Other known cause | 4% | 4% | |
| Undetermined cause | 6% | 5% | |
| Platelet inhibitors | |||
| Aspirin | 19% | 10% | 0.02 |
| Dipyridamole | 5% | 5% | 0.99 |
| Clopidogrel | 2% | 1% | 0.32 |
| Oral anticoagulation | 14% | 6% | 0.02 |
| Antihypertensive | 49% | 43% | 0.27 |
| Antihyperlipidemic | 26% | 18% | 0.08 |
| Antidiabetic | 15% | 29% | < 0.001 |
| Hypertension | 55% | 62% | 0.21 |
| Untreated hypertension | 23% | 32% | 0.15 |
| Diabetes | 18% | 39% | < 0.001 |
| Hypercholesterolemia | 29% | 34% | 0.37 |
| Smoking (previous or current) | 64% | 47% | 0.003 |
| Atrial fibrillation | 14% | 9% | 0.11 |
| Previous stroke | 23% | 20% | 0.55 |
Continuous variables are given as medians with interquartile ranges between brackets. Abbreviations: BMI = body mass index; NIHSS = National institute of health stroke scale
Thrombolysis rate in white and non-white patients
| White (n = 392) | Non-white (n = 118) | p value | |
|---|---|---|---|
| Intravenous thrombolysis | 18% | 7% | 0.003 |
| Time interval (thrombolysed patients) | |||
| Onset-to-treatment time (minutes) | 105 (80-147) | 120 (91-165) | 0.51 |
| Door-to-needle time (minutes) | 31 (21-55) | 37 (27-114) | 0.35 |
Continuous variables are given as medians with interquartile ranges between brackets. The data from the onset-to-treatment and door-to-needle times are derived from patients who received thrombolysis only.
Potential contraindications for receiving thrombolysis
| White (n = 392) | Non-white (n = 118) | p value | |
|---|---|---|---|
| Arrival hospital after 2.5 hours of symptom onset | 59% | 79% | < 0.001 |
| Blood pressure higher than 185/110 | 17% | 28% | 0.02 |
| NIHSS < 5 | 48% | 56% | 0.14 |
| NIHSS > 25 | 1% | 0% | 0.44 |
| Age > 80 years | 21% | 6% | < 0.001 |
| Previous stroke and diabetes | 6% | 7% | 0.88 |
| Oral anticoagulation use | 14% | 6% | 0.02 |
Variables which may potentially explain why patients were not treated with intravenous thrombolysis. NIHSS = National institute of health stroke scale
Logistic regression analysis
| OR (95% CI) | P-value | |
|---|---|---|
| Ethnicity | 0.34 (0.17-0.71) | 0.004 |
| Arrival hospital after 2.5 hours of symptom onset | 0.033 (0.005-0.21) | < 0.001 |
| Age | 0.99 (0.98-1.0) | 0.29 |
| Gender | 1.8 (1.1-2.9) | 0.02 |
| Previous stroke and diabetes | 0.48 (0.14-1.6) | 0.24 |
| Blood pressure higher than 185/110 | 0.68 (0.35-1.3) | 0.25 |
| NIHSS < 5 | 8.1 (4.2-16) | < 0.001 |
| NIHSS > 25 | 4.9 (0.30-79) | 0.26 |
| Oral anticoagulation use | 0.15 (0.035-0.61) | 0.008 |
| Arrival hospital after 2.5 hours of symptom onset | 0.60 (0.24-1.50) | 0.28 |
| Age | 0.30 (0.14-0.63) | 0.001 |
| Gender | 0.36 (0.17-0.74) | 0.006 |
| Previous stroke and diabetes | 0.34 (0.17-0.71) | 0.004 |
| Blood pressure higher than 185/110 | 0.33 (0.15-0.71) | 0.004 |
| NIHSS < 5 | 0.36 (0.16-0.78) | 0.01 |
| NIHSS > 25 | 0.34 (0.16-0.73) | 0.006 |
| Oral anticoagulation use | 0.31 (0.15-0.64) | 0.002 |
| 0.38 (0.13-1.16) | 0.09 | |
The univariate model (I) shows the odds ratio for receiving thrombolysis for the variables separately. Next, the association with ethnicity is analysed in the bivariate model (II), using the same preselected variables. Finally, in the multivariate model (III) the variables which significantly changed the odds ratio (age; blood pressure higher than 185/110; oral anticoagulation use; arrival at the hospital after 2.5 hours of symptom onset) were entered in a model together with ethnicity.
OR = odds ratio; CI = confidence intervals; NIHSS = National institute of health stroke scale; * indicates a 5% or greater change in odds ratio