[P3-302]: DETECTION OF COGNITIVE IMPAIRMENT AFTER ACUTE ISCHEMIC STROKE: VALIDATION OF BRIEF AND MORE COMPREHENSIVE COGNITIVE SCREENING INSTRUMENTS AND IMPLICATIONS FOR BEST PRACTICE

Background: It is reported that pre-stroke cognitive impairment is associated with poor functional outcome after stroke associated with small vessel disease. However, it is not clear that pre-stroke cognitive impairment is associated with poor outcome in patients treated with mechanical thrombectomy. Method: We enrolled 127 consecutive patients treated with mechanical thrombectomy for acute ischemic stroke from December 2016 to November 2018. Pre-stroke cognitive function was evaluated using the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). We retrospectively compared poor outcome (a score of 3 to 6 on the modified Rankin Scale at 90 days) group (n=75) with good outcome (a score of 0, 1, or 2 on the modified Rankin Scale at 90 days) group (n=52) and examined that IQCODE could be the predictor of PO. Result: IQCODE was significantly higher in poor outcome group than in good outcome group (89 vs. 82, P=0.0012). Moreover, age (77.2 years old vs. 71.6 years old, P= 0.0009), the percentage of female (42.7% vs. 17.3%, P= 0.0021), complication of hypertension (HT, 68.0% vs. 44.2%, P=0.0076), National Institutes of Health Stroke Scale (NIHSS) at admission (20 vs. 11, P<0.0001), the percentage of postoperative intracerebral hemorrhage (ICH, 33.3% vs. 15.4%, P=0.0233) were higher in poor outcome group than in good outcome group, too. However, there was no significant difference between poor outcome and good outcome groups in occlusion site (P= 0.1229), DWI-ASPECTS (P= 0.2839), the duration from onset to recanalization (P=0.4871) and other risk factors. Multivariable logistic regression analysis demonstrated that IQCODE, HT and NIHSS at admission were associated with poor outcome (P= 0.0128, P=0.0061 and P<0.0001, respectively). Conclusion: Cognitive impairment could be associated with poor outcome in patients treated with mechanical thrombectomy.

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Abstract 115: Improving Door-to-Needle Times in Acute Ischemic Stroke: Interim Findings From Target: Stroke Phase II

Stroke ◽

10.1161/str.47.suppl_1.115 ◽

2016 ◽

Vol 47 (suppl_1) ◽

Author(s):

Gregg C Fonarow ◽

Margueritte Cox ◽

Eric E Smith ◽

Jeffrey L Saver ◽

Mathew J Reeves ◽

...

Keyword(s):

Ischemic Stroke ◽

Phase I ◽

Acute Ischemic Stroke ◽

Phase Ii ◽

Best Practice ◽

Patient Characteristics ◽

Clinical Decision ◽

Absolute Difference ◽

First Year ◽

Rate Of Increase

Background: The benefits of intravenous tPA in acute ischemic stroke are time-dependent with guidelines recommending a door-to-needle (DTN) time of ≤60 minutes. The implementation of Target: Stroke Phase I in 2010 was associated with an increase in the proportion of patients with DTN times ≤60 minutes in the US from 28.9% in 2009 to 51.0% in 2013. This study aims to assess whether these improvements in DTN times could be maintained or further improved since the launch of Target: Stroke Phase II in Q2 2014. Methods: Target: Stroke Phase II identified and disseminated additional best practice strategies, provided updated clinical decision support tools, and set new hospital recognition goals. Rates of DTN times ≤60 minutes were compared during final 4 quarters of Phase I (Q4 2012-Q3 2013) vs. Phase II (Q2 2014-Q1 2015) and overall by linear weighted regression. Results: There were 99,176 intravenous tPA treated patients from 1228 GWTG-Stroke hospitals. Patient characteristics were similar during Phase I and II. Median DTN time significantly declined from the last 4 quarters of Phase I to the first 4 quarters of Phase II: 61 minutes (IQR 47-81) to 57 minutes (IQR 43-74) (P<0.0001). The % of patients with DTN times ≤60 minutes increased from last 4 quarters of Phase I to Phase II: 49.7% to 58.5%, absolute difference +8.8%, (P<0.0001). The % of patients with DTN times ≤45 minutes also increased from Phase I to Phase II: 22.0% to 29.2%, absolute difference +7.2%, (P<0.0001). The estimated annual rate of increase in patients with DTN times ≤60 minutes was 0.6% per year pre-Target Stroke, 5.6% per year during Phase I, and 8.6% in the first year of Phase II (P<0.0001) (Figure). Conclusions: The timeliness of tPA administration is continuing to improve in GWTG-Stroke hospitals participating in Target: Stroke Phase II. Nevertheless, ongoing quality improvement efforts will be required to meet the goals of ≥75% of patients with DTN times ≤60 minutes and ≥50% of patients with DTN times ≤ 45 minutes.

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Abstract T P260: Confirmation: The Target Stroke Best Practice Strategies Work

Stroke ◽

10.1161/str.46.suppl_1.tp260 ◽

2015 ◽

Vol 46 (suppl_1) ◽

Author(s):

Nojan Valadi ◽

Alexis Thomas

Keyword(s):

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Process Improvement ◽

Best Practice ◽

Stroke Patients ◽

High Performers ◽

Process Implementation ◽

Honor Roll ◽

Stroke Team ◽

Stroke Center

Background: A recent national push for optimizing stroke center performance led by the efforts of AHA/ASA to recognize high performers with the Target Stroke Honor Roll recognition have focused on achieving expedited treatment for stroke with door-to-needle (DTN) time of ≤60 minutes.Our organization recognized the need to optimize our performance and set an initial goal of achieving DTN time of ≤60 minutes in greater than 50% of our patients. The Target Stroke Initiative by the AHA/ASA identified 10 key strategies for best practice associated with reducing DTN times. Our organization adopted and implemented all of these strategies over a 30-day period. Methods: The Target Stroke best practice strategies were implemented over a 30-day period, and the Stroke Team worked collaboratively to identify other weaknesses needing to be addressed. DTN times ≤60 minutes from the 12 months prior to process improvement implementation were compared with the first 2 months post implementation. Results: There were 345 ischemic stroke patients treated at our facility during the 12 month period prior to the process implementation, with a total of 14 patients (1.12 per month) treated with tPA. The percentage of patients treated with tPA was 4%, and the percentage of patients treated with DTN ≤60 minutes was 0%. Over the two months following process implementation, 68 ischemic stroke patients were treated at our facility, with 11 patients treated with tPA (5.5 per month). The percentage of stroke patients treated with tPA was 16%, with 70% of patients treated with DTN ≤60 minutes. Conclusion: This study serves as confirmation that collaboration and implementation of the 10 key strategies for best practice as outlined by the Target Stroke Initiative, coupled with changes to identified areas of weakness, can improve and expedite the care of patients with acute ischemic stroke. This can substantially improve DTN times, as well as the overall number and percentage of patients that receive thrombolysis with a hopeful impact on their outcome as well as Target Stroke Honor Roll recognition for the facility. In conclusion, we recommend implementation of these best practice strategies to other facilities.

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