Performance of Different Risk Scores for the Detection of Atrial Fibrillation Among Patients With Cryptogenic Stroke.

BACKGROUND: Atrial fibrillation (AF) is a frequent underlying cause of cryptogenic stroke (CS) and its detection can be increased using implantable cardiac monitoring (ICM). We sought to evaluate different risk scores and assess their diagnostic ability in identifying patients with CS with underlying AF on ICM. METHODS: Patients with CS, being admitted to a single tertiary stroke center between 2017 and 2022 and receiving ICM, were prospectively evaluated. The CHA2DS2-VASc, HAVOC, Brown ESUS-AF, and C2HEST scores were calculated at baseline. The primary outcome of interest was the detection of AF, which was defined as at least 1 AF episode on ICM lasting for 2 consecutive minutes or more. The diagnostic accuracy measures and the net reclassification improvement were calculated for the 4 risk scores. Stroke recurrence was evaluated as a secondary outcome. RESULTS: A total of 250 patients with CS were included, and AF was detected by ICM in 20.4% (n=51) during a median monitoring period of 16 months. Patients with CS with AF detection were older compared with the rest (P=0.045). The median HAVOC, Brown ESUS-AF, and C2HEST scores were higher among the patients with AF compared with the patients without AF (all P<0.05), while the median CHA2DS2-VASc score was similar between the 2 groups. The corresponding C statistics for CHA2DS2-VASc, HAVOC, Brown ESUS-AF, and C2HEST for AF prediction were 0.576 (95% CI, 0.482-0.670), 0.612 (95% CI, 0.523-0.700), 0.666 (95% CI, 0.587-0.746), and 0.770 (95% CI, 0.699-0.839). The C2HEST score presented the highest diagnostic performance based on C statistics (P<0.05 after correction for multiple comparisons) and provided significant improvement in net reclassification for AF detection (>70%) compared with the other risk scores. Finally, stroke recurrence was documented in 5.6% of the study population, with no difference regarding the 4 risk scores between patients with and without recurrent stroke. CONCLUSIONS: The C2HEST score was superior to the CHA2DS2-VASc, HAVOC, and Brown ESUS-AF scores for discriminating patients with CS with underlying AF using ICM.

Implantable Cardiac Monitoring in the Secondary Prevention of Cryptogenic Stroke.

OBJECTIVE: In this study, we sought to evaluate the impact of implantable cardiac monitoring (ICM) in the prevention of stroke recurrence after a cryptogenic ischemic stroke or transient ischemic attack (TIA). METHODS: We evaluated consecutive patients with cryptogenic ischemic stroke or TIA admitted in a comprehensive stroke center during an 8-year period. We compared the baseline characteristics and outcomes between patients receiving conventional cardiac monitoring with repeated 24-hour Holter-monitoring during the first 5 years in the outpatient setting and those receiving continuous cardiac monitoring with ICM during the last 3 years. Associations on the outcomes of interest were further assessed in multivariable regression models adjusting for potential confounders. RESULTS: We identified a total of 373 patients receiving conventional cardiac monitoring and 123 patients receiving ICM. Paroxysmal atrial fibrillation (PAF) detection was higher in the ICM cohort compared to the conventional cardiac monitoring cohort (21.1% vs 7.5%, p < 0.001). ICM was independently associated with an increased likelihood of PAF detection during follow-up (hazard ratio [HR] = 1.94, 95% confidence interval [CI] = 1.16-3.24) in multivariable analyses. Patients receiving ICM were also found to have significantly higher rates of anticoagulation initiation (18.7% vs 6.4%, p < 0.001) and lower risk of stroke recurrence (4.1% vs 11.8%, p = 0.013). ICM was independently associated with a lower risk of stroke recurrence during follow-up (HR = 0.32, 95% CI = 0.11-0.90) in multivariable analyses. INTERPRETATION: ICM appears to be independently associated with a higher likelihood of PAF detection and anticoagulation initiation after a cryptogenic ischemic stroke or TIA. ICM was also independently related to lower risk of stroke recurrence in our cryptogenic stroke / TIA cohort. ANN NEUROL 2020;88:946-955.

The impact of smoking on long-term outcome of patients with premature (≤35years) ST-segment elevation acute myocardial infarction.

BACKGROUND: There are few data regarding the long-term prognosis of young survivors of acute myocardial infarction (AMI). We explored the long-term outcome in individuals who had sustained a premature ST-segment elevation AMI. METHODS: We recruited 257 consecutive patients who had survived their first AMI ≤35years of age. Patients were followed up for up to 18years. Clinical end points included all major adverse coronary events (MACE): cardiac death, readmission for acute coronary syndrome, arrhythmias, or coronary revascularization due to clinical deterioration. RESULTS: The most prevalent risk factor at presentation was smoking (93.7%). Follow-up data were obtained from 237 patients (32.2±3.7years old). The median follow-up period was 9.1years. During follow-up, 139 (58.6%) patients reported continuation of smoking. Ninety-one (38.4%) patients had recurrent MACE (13 deaths, 59 acute coronary syndromes, 2 arrhythmias, and 17 revascularizations). Multivariable Cox regression analysis showed that persistence of smoking, left ventricular ejection fraction (LVEF), and reperfusion therapy (fibrinolysis or primary coronary angioplasty) were independent predictors of MACE after adjustment for conventional risk factors. Continuation of smoking remained an independent predictor for MACE after additional adjustments for LVEF (hazard ratio 2.154, 95% CI 1.313-3.535, P=.002) or reperfusion treatment (hazard ratio 2.327, 95% CI 1.423-3.804, P=.001). Harrell c statistic showed that the model with persistent smoking had the best discriminatory power compared with models with LVEF or reperfusion treatment. CONCLUSIONS: In the era of statins and reperfusion treatment, continuation of smoking is the strongest independent long-term predictor for recurrent MACE in young survivors of premature AMI.

Potential Utility of Neurosonology in Paroxysmal Atrial Fibrillation Detection in Patients with Cryptogenic Stroke.

BACKGROUND: Occult paroxysmal atrial fibrillation (PAF) is a common and potential treatable cause of cryptogenic stroke (CS). We sought to prospectively identify independent predictors of atrial fibrillation (AF) detection in patients with CS and sinus rhythm on baseline electrocardiogram (ECG), without prior AF history. We had hypothesized that cardiac arrhythmia detection during neurosonology examinations (Carotid Duplex (CDU) and Transcranial Doppler (TCD)) may be associated with higher likelihood of AF detection. METHODS: Consecutive CS patients were prospectively evaluated over a six-year period. Demographics, clinical and imaging characteristics of cerebral ischemia were documented. The presence of arrhythmia during spectral waveform analysis of CDU/TCD was recorded. Left atrial enlargement was documented during echocardiography using standard definitions. The outcome event of interest included PAF detection on outpatient 24-h Holter ECG recordings. Statistical analyses were performed using univariate and multivariate logistic regression models. RESULTS: A total of 373 patients with CS were evaluated (mean age 60 ± 11 years, 67% men, median NIHSS-score 4 points). The rate of PAF detection of any duration on Holter ECG recordings was 11% (95% CI 8%-14%). The following three variables were independently associated with the likelihood of AF detection on 24-h Holter-ECG recordings in both multivariate analyses adjusting for potential confounders: age (OR per 10-year increase: 1.68; 95% CI: 1.19-2.37; p = 0.003), moderate or severe left atrial enlargement (OR: 4.81; 95% CI: 1.77-13.03; p = 0.002) and arrhythmia detection during neurosonology evaluations (OR: 3.09; 95% CI: 1.47-6.48; p = 0.003). CONCLUSION: Our findings underline the potential utility of neurosonology in improving the detection rate of PAF in patients with CS.

Duration of paroxysmal atrial fibrillation in cryptogenic stroke is not associated with stroke severity and early outcomes.

The current definition of paroxysmal atrial fibrillation (PAF) requires an arbitrary cut-off of >30s, but in clinical practice cryptogenic stroke (CS) patients with PAF duration of ≤30s are not usually excluded from anticoagulation therapy. We sought to evaluate the clinical relevance of short-duration (≤30s) PAF in CS. Consecutive CS patients with no prior AF history and sinus-rhythm on baseline electrocardiography (ECG) were prospectively evaluated over a three-year period. Baseline stroke severity was assessed by NIHSS-scores. All patients underwent 24-hour Holter-ECG during hospitalization. ECG recordings were analyzed by two blinded investigators using dedicated analysis software. Total time in AF was calculated as the sum of each individual AF episode for patients with multiple episodes during monitoring. Patients were dichotomized in two groups using PAF total duration (≤30s & >30s). Early recurrent stroke and favorable functional outcome (FFO, defined as mRS-grades of 0-1) were evaluated during a three-month follow-up period. A total of 184 patients (66% men, mean age 57±11years) with CS (median NIHSS-score 4, IQR: 2-7) were evaluated. PAF of any duration was detected in 23 individuals (13%; 95%CI: 8%-18%). Among these patients the prevalence of brief PAF was 57% (n=13). The two groups did not differ (p>0.2) in terms of demographics, vascular risk factors and NIHSS-scores. Early recurrent stroke and FFO rates were similar (p>0.4) in the two groups. Duration of PAF is not associated with baseline stroke severity and early outcomes in patients with CS and should not influence anticoagulation decision in these patients.