Determinants and Temporal Trends of Dual Antiplatelet Therapy After Mild Noncardioembolic Stroke.

BACKGROUND: Short-term dual antiplatelet therapy (DAPT) reduces early stroke recurrence after mild noncardioembolic ischemic stroke (NCIS). We aim to evaluate temporal trends and determinants of DAPT prescription after mild NCIS in the Florida Stroke Registry, a statewide registry across Get With The Guidelines-Stroke participating hospitals. METHODS: In this cross-sectional analysis of a cohort study, we included patients with mild NCIS (National Institutes of Health Stroke Scale score ≤3) who were potentially eligible for DAPT across 168 Florida Stroke Registry participating hospitals between January 2010 and September 2022. Using antiplatelet prescription as the dependent variable (DAPT versus single antiplatelet therapy), we fit logistic regression models adjusted for patient-related factors, hospital-related factors, clinical presentation, vascular risk factors, and ischemic stroke subtype, to obtain adjusted odds ratios (aORs) with 95% CIs. RESULTS: From 283 264 Florida Stroke Registry ischemic stroke patients during the study period, 109 655 NCIS were considered eligible. Among these, 37 058 patients with National Institutes of Health Stroke Scale score >3 were excluded, resulting in a sample of 72 597 mild NCIS (mean age 68±14 years; female 47.3%). Overall, 24 693 (34.0%) patients with mild NCIS were discharged on DAPT and 47 904 (66.0%) on single antiplatelet therapy. DAPT prescription increased from 25.7% in 2010 to 52.8% in 2022 (ß/year 2.5% [95% CI, 1.5%-3.4%]). Factors associated with DAPT prescription were premorbid antiplatelet therapy (aOR, 4.66 [95% CI, 2.20-9.88]), large-artery atherosclerosis (aOR, 1.68 [95% CI, 1.43-1.97]), diabetes (aOR, 1.29 [95% CI, 1.13-1.47]), and hyperlipidemia (aOR, 1.24 [95% CI, 1.10-1.39]), whereas female sex (aOR, 0.83 [95% CI, 0.75-0.93]), being non-Hispanic Black patients (compared with non-Hispanic White patients; aOR, 0.78 [95% CI, 0.68-0.90]), admission to a Thrombectomy-capable Stroke Center (compared with Comprehensive Stroke Center; aOR, 0.78 [95% CI, 0.66-0.92]), time-to-presentation 1 to 7 days from last seen well (compared with <24 h; aOR, 0.86 [95% CI, 0.76-0.96]), and small-vessel disease stroke (aOR, 0.81 [95% CI, 0.72-0.94]) were associated with not receiving DAPT at discharge. CONCLUSIONS: Despite a temporal trend increase in DAPT prescription after mild NCIS, we found substantial underutilization of evidence-based DAPT associated with significant disparities in stroke care.

Effects of an external ventricular drain alert protocol on venticulostomy placement time in the emergency department.

OBJECTIVE: Timely ventriculostomy placement is critical in the management of neurosurgical emergencies. Prompt external ventricular drain (EVD) placement has been shown to improve long-term patient outcomes and decrease the length of ICU and hospital stays. Successful and efficient EVD placement requires seamless coordination among multiple healthcare teams. In this study, the authors sought to identify factors favoring delayed ventriculostomy via a quality improvement initiative and to implement changes to expedite EVD placement. METHODS: Through process mapping, root cause analysis, and interviews with staff, the authors identified the lack of a standardized mechanism for alerting necessary healthcare teams as a major contributor to delays in EVD placement. In December 2019, an EVD alert system was developed to automatically initiate an EVD placement protocol and to alert the neurosurgery department, pharmacy, core laboratory, and nursing staff to prepare for EVD placement. The time to EVD placement was tracked prospectively using time stamps in the electronic medical record. RESULTS: A total of 20 patients who underwent EVD placement between December 2019 and April 2021, during the EVD alert protocol initiation, and 18 preprotocol control patients (January 2018 to December 2019) met study inclusion criteria and were included in the analysis. The mean time to EVD placement in the control group was 71.88 minutes compared with 50.3 minutes in the EVD alert group (two-tailed t-test, p = 0.025). The median time to EVD placement was 64 minutes in the control group compared with 52 minutes in the EVD alert group (rank-sum test, p = 0.0184). All patients from each cohort exhibited behavior typical of stable processes, with no violation of Shewhart rules and no special cause variations on statistical process control charts. CONCLUSIONS: A quality improvement framework helped identify sources of delays to EVD placement in the emergency department. An automated EVD alert system was a simple intervention that significantly reduced the time to EVD placement in the emergency department and can be easily implemented at other institutions to improve patient care.