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. Author manuscript; available in PMC: 2022 Mar 1.
Published in final edited form as: J Stroke Cerebrovasc Dis. 2021 Jan 5;30(3):105586. doi: 10.1016/j.jstrokecerebrovasdis.2020.105586

Table 2.

Acute stroke in-hospital process of care metrics in relation to post-stroke outcomes within 1 year in the FSR. These results were generated from multi-level logistic regression models to account for clustering within hospitals.

Acute Care Metric OR (95% CI)* In-hospital mortality (N=484 outcomes) 30-day mortality (N=1637 outcomes) 6-month mortality (N=2997 outcomes) One-year mortality (N=3682 outcomes) 30-day readmissions (N=1995 outcomes)
rt-PA, arrive by 2 hrs and treat by 3 hrs
Model 1 0.66 (0.29–1.50) 0.88 (0.44–1.73) 0.88 (0.48–1.61) 0.78 (0.46–1.33) 1.04 (0.55–1.96)
Model 2 0.61 (0.26–1.44) 0.84 (0.41–1.70) 0.85 (0.45–1.60) 0.76 (0.44–1.30) 1.15 (0.60–2.22)

Early Antithrombotic Use
Model 1 0.66 (0.42–1.03) 0.58 (0.44–0.77) 0.62 (0.52–0.75) 0.65 (0.51–0.82) 0.85(0.69–1.06)
Model 2 0.66 (0.42–1.03) 0.59 (0.44–0.79) 0.63 (0.51–0.77) 0.66 (0.50–0.87) 0.87(0.71–1.08)

Antithrombotics at Discharge
Model 1 0.17(0.09–0.32) 0.37 (0.24–0.58) 0.55 (0.40–0.74) 0.57 (0.43–0.76) 0.97(0.75–1.25)
Model 2 0.20(0.10–0.38) 0.39 (0.23–0.64) 0.55 (0.40–0.76) 0.56 (0.42–0.75) 0.95(0.75–1.21)

Anticoagulation for Atrial Fibrillation
Model 1 0.88 (0.19–4.13) 0.69 (0.36–1.31) 0.82 (0.56–1.19) 0.79 (0.55–1.14) 1.09 (0.66–1.81)
Model 2

Smoking Cessation Counseling
Model 1 1.01 (0.43–2.42) 1.17 (0.47–2.92) 1.14 (0.51–2.56)
Model 2 1.15 (0.48–2.72) 1.39 (0.58–3.37) 1.29 (0.55–3.04)

LDL 100 or ND – Statin
Model 1 0.54(0.28–1.05) 0.74 (0.51–1.08) 0.75 (0.59–0.95) 0.68 (0.55–0.85) 0.85 (0.73–0.98)
Model 2 0.52(0.27–1.00) 0.75 (0.51–1.10) 0.74 (0.58–0.95) 0.68 (0.55–0.85) 0.85 (0.75–0.98)

VTE prophylaxis
Model 1 0.83 (0.59–1.16) 1.00 (0.80–1.25) 0.94 (0.79–1.12) 0.90 (0.77–1.06) .03 (0.86–1.24)
Model 2 0.81 (0.58–1.14) 0.97 (0.78–1.22) 0.92 (0.77–1.04) 0.89 (0.73–1.06) 1.02 (0.85–1.23)

Model 1: Controlling for age, sex, race/ethnicity, and NIHSS

Model 2: Controlling for age, sex, race/ethnicity, NIHSS, health insurance status, mode of arrival, current smoker, hypertension, diabetes, dyslipidemia, and medical history of atrial fibrillation, coronary artery disease/prior myocardial infarction, and previous stroke/transient ischemic attack, and hospital-level factors including number of beds, years in GWTG-S and academic vs. not

*

Results are missing from models that did not converge