| Literature DB >> 24851234 |
Bedriye Karaman1, James Selph2, Joselyn Burdine2, Cole Blease Graham2, Souvik Sen2.
Abstract
Patient candidacy for acute stroke intervention, is currently assessed using brain computed tomography angiography (CTA) evidence of significant stenosis/occlusion (SSO) with a high National Institutes of Health Stroke Scale (NIHSS) (>6). This study examined the association between CTA without significant stenosis/occlusion (NSSO) and lower NIHSS (≤ 6) with transient ischemic attack (TIA) and other good clinical outcomes at discharge. Patients presenting <8 hours from stroke symptom onset, had an NIHSS assessment and brain CTA performed at presentation. Good clinical outcomes were defined as: discharge diagnosis of TIA, modified Rankin Score [mRS] ≤ 1, and home as the discharge disposition. Eighty-five patients received both an NIHSS at presentation and a CTA at 4.2 ± 2.2 hours from stroke symptom onset. Patients with NSSO on CTA as well as those with NIHSS≤6 had better outcomes at discharge (p<0.001). NIHSS ≤ 6 were more likely than NSSO (p=0.01) to have a discharge diagnosis of TIA (p<0.001). NSSO on CTA and NIHSS ≤ 6 also correlated with fewer deaths (p<0.001). Multivariable analyses showed NSSO on CTA (Adjusted OR: 5.8 95% CI: 1.2-27.0, p=0.03) independently predicted the discharge diagnosis of TIA. Addition of NIHSS ≤ 6 to NSSO on CTA proved to be a stronger independent predictor of TIA (Adjusted OR 18.7 95% CI: 3.5-98.9, p=0.001).Entities:
Keywords: Clinical outcome; Discharge; Ischemic stroke; Neuroimaging; TIA
Year: 2013 PMID: 24851234 PMCID: PMC4025925 DOI: 10.4172/2329-6895.1000140
Source DB: PubMed Journal: J Neurol Disord ISSN: 2329-6895
Characteristics of patients with or without SSO on brain CTA.
| Study Population N=85 | NSSO N=63 | SSO N=22 | p |
|---|---|---|---|
| 65.0 ± 15.0 | 70.0 ± 14.6 | 0.2 | |
| 39 (62%) | 10 (46%) | 0.2 | |
| 26 (41%) | 8 (36%) | 0.8 | |
| 53 (84%) | 20 (91%) | 0.7 | |
| 23 (37%) | 7 (32%) | 0.8 | |
| 23 (37%) | 12 (55%) | 0.2 | |
| 25 (40%) | 9 (41%) | >0.9 | |
| 21 (33%) | 9 (41%) | 0.6 | |
| 24 (38%) | 12 (55%) | 0.2 | |
| 7 (11%) | 9 (41%) | 0.004 | |
| 6 (10%) | 10 (46%) | 0.001 | |
| 16 (25%) | 2 (9%) | 0.1 | |
| 6 (10%) | 9 (41%) | 0.003 | |
| N=39 | N=20 | ||
| 13 (33%) | 6 (30%) | >0.9 | |
| 3 (8%) | 9 (45%) | 0.002 | |
| 20 (51%) | 2 (10%) | 0.002 | |
| 3 (8%) | 3 (15%) | 0.4 | |
| 24 (38%) | 2 (9%) | 0.01 | |
| 43 (68%) | 4 (18%) | <0.001 | |
| 39 (62%) | 4 (18%) | <0.001 | |
| 2 (3%) | 8 (36%) | <0.001 |
Fisher's exact test; except for age (t-test),
Others: Known, unknown, and ≥ 1 cause identified categories combined for analysis due to small numbers in the subgroup.
Characteristics of patients with or without NIHSS>6.
| Study Population N=85 | NIHSS≤6 N=52 | NIHSS>6 N=33 | p |
|---|---|---|---|
| 64.8 ± 14.2 | 68.3 ± 16.1 | 0.3 | |
| 30 (58%) | 19 (58%) | >0.9 | |
| 23 (44%) | 11 (33%) | 0.4 | |
| 43 (83%) | 30 (90%) | 0.4 | |
| 16 (31%) | 14 (42%) | 0.4 | |
| 19 (37%) | 16 (49%) | 0.4 | |
| 20 (39%) | 14 (42%) | 0.8 | |
| 17 (33%) | 13 (39%) | 0.6 | |
| 18 (35%) | 18 (55%) | 0.1 | |
| 4 (8%) | 12 (36%) | 0.002 | |
| 2 (4%) | 14 (42%) | <0.001 | |
| 13 (25%) | 5 (15%) | 0.4 | |
| 1 (2%) | 14 (42%) | <0.001 | |
| N=26 | N=33 | ||
| 11 (33%) | 8 (31%) | 0.2 | |
| 9 (27%) | 3 (12%) | 0.02 | |
| 8 (24%) | 4 (54%) | 0.4 | |
| 5 (15%) | 1 (4%) | 0.1 | |
| 26 (50%) | 0 | <0.001 | |
| 44 (85%) | 3 (9%) | <0.001 | |
| 40 (77%) | 3 (9%) | <0.001 | |
| 0 | 10 (30%) | <0.001 |
Fisher's exact test; except for age (t-test),
Others: Known, unknown, and ≥ 1 cause identified categories combined for analysis due to small numbers in the subgroup.
Odds ratio (95% Confidence Interval) of NSSO on CTA and NIHSS ≤ 6 predicting TIA.
| Type of analysis | Univariate | Multivariable |
|---|---|---|
| NSSO | 10.5 (2.5-44.8) | 5.8 (1.2-27.0) |
| NSSO+ NIHSS ≤ 6 | 18.5 (4.5-76.8) | 18.7 (3.5-98.9) |
Covariates included were absence of factors associated with poor stroke outcome (age, gender, race, hypertension, diabetes, atrial fibrillation, CAD, CHF, hyperglycemia, fever, decreased consciousness, and prior stroke) were entered in a forward conditional multiple logistic regression model.
Variables included in the final equation included NSSO, lack of prior stroke and absence of hyperglycemia.
Variables included in the final equation included NSSO+NIHSS ≤ 6, lack of prior stroke and absence of hyperglycemia.