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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: J Stroke Cerebrovasc Dis. 2020 Aug 2;29(10):105083. doi: 10.1016/j.jstrokecerebrovasdis.2020.105083

Table 3:

Receipt of Individual Procedures (Secondary Outcomes) within 30 Days After Acute Ischemic Stroke Between Participants with Pre-existing Mild Cognitive Impairment and Cognitively Normal Patients

Receipt of individual procedures (secondary outcomes) Participants with Normal Cognition (n=432) Participants with Pre-existing MCI (n=159) P-value* Unadjusted odds ratios (95% CI) for MCI vs normal cognition Adjusted odds ratios (95% CI) for MCI vs normal cognition
Carotid imaging 342 (79.2) 118 (74.2) 0.20 0.76
(0.50–1.16)
P=0.20
0.93
(0.58–1.51)
P=0.78
Cardiac monitoring 24 (5.6) 3 (1.9) 0.06 0.33
(0.10–1.10)
P=0.07
NA
Echocardiogram 332 (76.9) 113 (71.1) 0.15 0.74
(0.49–1.11)
P=0.15
0.93
(0.58–1.50)
P=0.77
Brain MRI 247 (57.2) 83 (52.2) 0.28 0.82
(0.57–1.18)
P=0.28
1.13
(0.74–1.74)
P=0.56
Rehabilitation assessment 46 (10.7) 10 (6.3) 0.11 0.56
(0.28–1.14)
P=0.11
NA
Carotid revascularization** 22 (5.1) 3 (1.9) 0.09 0.36
(0.11–1.21)
P=0.10
NA
Composite brain imaging measure
 None 45 (10.4) 14 (8.8) 0.38 Referent Referent
 Head CT only 140 (32.4) 62 (39.0) 1.42
(0.73–2.78)
P=0.30
1.13
(0.52–0.47)
P=0.75
 Brain MRI only 53 (12.3) 14 (8.8) 0.85
(0.37–1.97)
P=0.70
0.77
(0.29–2.06)
P=0.61
 Dual brain imaging with CT and MRI 194 (44.9) 69 (43.4) 1.14
(0.59–2.21)
P=0.69
1.39
(0.64–3.00)
P=0.40

Abbreviations: MCI, mild cognitive impairment. CT, computed tomography. MRI, magnetic resonance imaging. NA, not applicable.

*

P-values were calculated using chi square test for categorical variables.

**

Carotid revascularization measured within 90 days after acute ischemic stroke. Carotid imaging included ultrasound, magnetic resonance angiography, or computerized tomography angiography. Cardiac monitoring included cardiac event monitor or implantable loop recorder. Echocardiogram include transthoracic and transesophageal echocardiogram. Logistic regression models estimated the odds of receiving the individual procedures (secondary outcomes) before and after adjusting for patient and hospital factors.

Adjusted models included patient factors (age, sex, race/ethnicity, education, net wealth, income, Charlson comorbidity index score, depressive symptoms, functional limitations in basic and instrumental activities of daily living, marital status/living arrangement, geographic proximity to adult children, and having an adult daughter) and hospital factors (medical school affiliate or teaching hospital, region, bed size, and authority type).

We do not present adjusted results for these individual procedures because numbers are small.