Of the 2,404 consecutive adult patients with acute ischemic stroke evaluated during the study period, 263 met inclusion criteria (Fig. 1, Table 1) and were followed for a median of 12.8 months (IQR 3.5–28.9 months) after admission for stroke. Among included patients, 133 (51%) were ordered for a TEE due to concern for an occult CSE. Generally, younger patients and patients with fewer vascular risk factors were recommended for a TEE (Supplementary Table 1). After adjustment for all predictors of TEE being ordered (p ≤ 0.1), only younger age (aOR 0.96 per year, 95%CI 0.93–0.99, p = 0.010) and stroke affecting multiple vascular territories (aOR 1.84, 95%CI 1.01–3.36, p = 0.046) were independently associated with a TEE order.
Table 1
| All included patients (n = 263) |
Age, median (IQR) | 53 (46–57) |
Female sex, no. (%) | 103 (39) |
Race, no. (%) | |
White | 123/227 (55) |
Black | 83/227 (37) |
Asian | 6/227 (3) |
Other | 14/227 (6) |
Hispanic, no. (%) | 43/239 (18) |
Primary insurance provider, no. (%) | |
None | 34/261 (13) |
Medicaid | 91/261 (35) |
Medicare | 45/261 (17) |
Private/Other | 91/261 (35) |
Medical history, no. (%) | |
Hypertension | 182 (69) |
Tobacco use | 94/260 (36) |
Diabetes mellitus | 99 (38) |
Dyslipidemia | 102 (39) |
Coronary artery disease | 34 (13) |
Congestive heart failure | 19 (7) |
Prior stroke | 49 (19) |
Peripheral artery disease | 5 (2) |
Baseline NIHSS, median (IQR) | 5 (2–10) |
LVO, no. (%) | 36 (14) |
Ejection fraction, median % (IQR) | 55 (55–60) |
Ejection fraction < 40%, no. (%) | 26 (10) |
HCT or MRI findings, no. (%) | |
Cortical infarction | 167 (64) |
Infratentorial infarction | 94 (36) |
Infarction in > 1 vascular territory | 63 (24) |
TEE findings
A TEE was ultimately performed in 108 patients (81% of those with orders), the majority of which were performed during the hospitalization for stroke (Table 2). A high-risk CSE was identified in 36 patients (33%), the majority of which were PFOs (n = 29; Table 2). All patients with an ASA had an associated PFO, while 2 of 5 patients with excess atrial mobility had an associated PFO. Four patients had high-risk valvular lesions (all involving the aortic valve), including 1 patient with marantic endocarditis (Fig. 2), 1 patient with a degenerated/ruptured leaflet, 1 with heavy calcification, and 1 with significant Lambl’s excrescence. Three patients had aortic arch plaque > 4mm in thickness with or without ulceration, and 1 patient had a left atrial appendage thrombus (without AF). One-hundred eight patients (41%) underwent outpatient cardiac event monitoring, 56 of whom had also undergone TEE. Abnormalities on outpatient event monitoring were captured in 11 patients (8 with AF, 1 sinus bradycardia, 1 atrial bigeminy, 1 2nd degree AV block). Of the 8 patients who were found to have paroxysmal atrial fibrillation, only 1 had a CSE on TEE, which was a PFO. Detailed results for event monitoring and left atrial morphology are being reported separately.
Table 2
| All included patients (n = 263) |
TEE ordered, no. (%) | 133 (51) |
TEE performed, no. (%) | 108/133 (81) |
TEE performed during hospitalization, no. (%) | 105/123 (86) |
TEE performed after discharge | 3/10 (30) |
Time from admission to TEE, median days (IQR) |
All patients | 3 (2–5) (n = 108) |
Inpatient TEEs | 3 (2–5) (n = 105) |
Outpatient TEEs | 12 (12–125) (n = 3) |
High-risk CSE on TEE*, no. (%) | 36/108 (33) |
PFO | 29/108 (27) |
ASA | 5/108 (5) |
PFO + ASA | 5/108 (5) |
Intracardiac thrombus | 1/108 (1) |
Valvular abnormality* | 4/108 (4) |
Intracardiac tumor | 0/108 (0) |
Aortic arch plaque > 4mm and/or ulcerated | 3/108 (3) |
ROPE score, median (IQR) | 5 (4–6) (n = 108) |
Predictors of high-risk CSE on TEE
There was no association between higher Risk of Paradoxical Embolism (ROPE) score [14] and a high-risk CSE on TEE (Table 3) or with a PFO (OR 1.22, 95%CI 0.94–1.58, p = 0.14). In unadjusted regression, high-risk CSE was significantly associated with lower National Institutes of Health Stroke Scale (β= -0.02, 95%CI -0.03- -0.004, p = 0.01), lack of proximal intracranial occlusion (OR 0.13, 95%CI 0.02–1.03, p = 0.054), and no prior tobacco use (OR 4.10, 95%CI 1.52–11.08, p = 0.005), while there was a trend toward a relationship with a history of no dyslipidemia (OR 0.49, 95%CI 0.21–1.15, p = 0.10). After entering each of these variables into a multivariable model, tobacco use (aOR 0.16, 95%CI 0.05–0.49, p = 0.005) and history of dyslipidemia (aOR 0.27, 95%CI 0.10–0.73, p = 0.009) were strongly and inversely associated with a high-risk CSE on TEE, while lower NIHSS trended toward an association with high-risk CSE (aOR 0.92 per point, 95%CI 0.83–1.01, p = 0.094; Table 3).
Table 3
Independent predictors of high-risk CSE.
| No high-risk CSE on TEE (n = 72) | High-risk CSE* on TEE (n = 36) | p-value | Unadjusted OR (95%CI) | p-value | Adjusted OR (95%CI) | p-value |
Age, median (IQR) | 51 (43–56) | 50 (44–57) | 0.97 | -0.001* (-0.01-0.01) | 0.92 | | |
Female sex, no. (%) | 29 (40) | 15 (42) | 0.89 | 1.06 (0.47–2.39) | 0.89 | | |
White race, no. (%) | 33/63 (52) | 20/31 (65) | 0.27 | 1.65 (0.68–4.01) | 0.27 | | |
Hispanic, no. (%) | 13/63 (21) | 6/35 (17) | 0.68 | 0.80 (0.27–2.32) | 0.68 | | |
Medical history, no. (%) | | | | | | | |
Hypertension | 49 (68) | 21 (58) | 0.32 | 0.66 (0.29–1.50) | 0.32 | | |
Prior tobacco use | 32/71 (45) | 6/36 (17) | < 0.01 | 0.24 (0.09–0.66) | < 0.01 | 0.16 (0.05–0.49) | < 0.01 |
Diabetes mellitus | 25 (35) | 11 (31) | 0.67 | 0.83 (0.35–1.95) | 0.67 | | |
Dyslipidemia | 34 (47) | 11 (31) | 0.15 | 0.49 (0.21–1.15) | 0.1 | 0.27 (0.10–0.73) | < 0.01 |
Coronary artery disease | 8 (11) | 5 (14) | 0.68 | 1.29 (0.39–4.27) | 0.68 | | |
Congestive heart failure | 6 (8) | 1 (3) | 0.42 | 0.31 (0.04–2.72) | 0.29 | | |
Prior stroke | 9 (13) | 7 (20) | 0.34 | 1.69 (0.57–4.98) | 0.34 | | |
Peripheral artery disease | 1 (1) | 1 (3) | 1 | 2.03 (0.12–33.40) | 0.62 | | |
Baseline NIHSS, median (IQR) | 5 (2–12) | 3 (1–6) | 0.01 | -0.02* (-0.03- -0.004) | 0.01 | 0.92 (0.83–1.01) | 0.09 |
LVO, no. (%) | 13 (18) | 1 (3) | 0.03 | 0.13 (0.02–1.03) | 0.05 | 0.20 (0.02–2.02) | 0.17 |
Ejection fraction < 40%, no. (%) | 7 (10) | 2 (6) | 0.72 | 0.55 (0.11–2.77) | 0.47 | | |
HCT or MRI findings, no. (%) | | | | | | | |
Cortical infarction | 45 (63) | 24 (67) | 0.67 | 1.20 (0.52–2.78) | 0.67 | | |
Infratentorial infarction | 27 (38) | 12 (33) | 0.67 | 0.83 (0.36–1.93) | 0.67 | | |
Infarction in > 1 vascular territory | 20 (28) | 11 (31) | 0.76 | 1.14 (0.48–2.75) | 0.76 | | |
ROPE score, median (IQR) | 6 (4–7) | 6 (5–7) | 0.25 | 1.16 (0.91–1.48) | 0.23 | | |
Management changes following TEE
TEE led to a significant change in the secondary stroke prevention strategies for 14 patients with a high-risk CSE and 6 patients without an identifiable CSE (Fig. 1). Of the 14 patients with management changes following identification of a high-risk CSE, 12 had a PFO–6 of whom underwent closure, 4 were anticoagulated (2 of whom also had a lower extremity deep vein thrombosis), and 2 were switched from single to dual antiplatelet therapy. The 2 additional patients with management changes had valvular lesions; 1 was anticoagulated and 1 was switched from single to dual antiplatelet therapy. Time to any management change was significantly more delayed in patients who underwent PFO closure versus any other change in management (unadjusted p = 0.001 by log-rank, Fig. 3). All PFO closures took place in the year 2017 or subsequent years, after publication of trials demonstrating superiority of closure [15–17]. Of the 6 patients with PFO who were treated with escalation of antithrombotic therapy (Fig. 1), 3 were given this recommendation after the publication of successful PFO closure trials in 2017 after a risk/benefit discussion of treatment options with either the patient’s primary cardiologist or neurologist. The most common reason for deferral of PFO closure in 23 patients with a PFO was loss to follow-up (n = 6), anticoagulation pursued in lieu of closure (n = 4), and PFO considered too small (n = 4; Supplementary Table 4). None of the antithrombotic adjustments reported here were recommended on the basis of findings from outpatient cardiac event monitoring.