Disease progression strikingly differs in research and real-world Parkinson's populations.

Characterization of Parkinson's disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations. Efforts to curate research populations, the increasing availability of real-world data, and advances in natural language processing, particularly large language models, allow for a more granular comparison of populations than previously possible. This study includes two research populations and two real-world data-derived (RWD) populations. The research populations are the Harvard Biomarkers Study (HBS, N = 935), a longitudinal biomarkers cohort study with in-person structured study visits; and Fox Insights (N = 36,660), an online self-survey-based research study of the Michael J. Fox Foundation. Real-world cohorts are the Optum Integrated Claims-electronic health records (N = 157,475), representing wide-scale linked medical and claims data and de-identified data from Mass General Brigham (MGB, N = 22,949), an academic hospital system. Structured, de-identified electronic health records data at MGB are supplemented using a manually validated natural language processing with a large language model to extract measurements of PD progression. Motor and cognitive progression scores change more rapidly in MGB than HBS (median survival until H&Y 3: 5.6 years vs. >10, p < 0.001; mini-mental state exam median decline 0.28 vs. 0.11, p < 0.001; and clinically recognized cognitive decline, p = 0.001). In real-world populations, patients are diagnosed more than eleven years later (RWD mean of 72.2 vs. research mean of 60.4, p < 0.001). After diagnosis, in real-world cohorts, treatment with PD medications has initiated an average of 2.3 years later (95% CI: [2.1-2.4]; p < 0.001). This study provides a detailed characterization of Parkinson's progression in diverse populations. It delineates systemic divergences in the patient populations enrolled in research settings vs. patients in the real-world. These divergences are likely due to a combination of selection bias and real population differences, but exact attribution of the causes is challenging. This study emphasizes a need to utilize multiple data sources and to diligently consider potential biases when planning, choosing data sources, and performing downstream tasks and analyses.

Disease progression strikingly differs in research and real-world Parkinson's populations.

Characterization of Parkinson's disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations. Efforts to curate research populations, the increasing availability of real-world data and recent advances in natural language processing, particularly large language models, allow for a more granular comparison of populations and the methods of data collection describing these populations than previously possible. This study includes two research populations and two real-world data derived (RWD) populations. The research populations are the Harvard Biomarkers Study (HBS, N = 935), a longitudinal biomarkers cohort study with in-person structured study visits; and Fox Insights (N = 36,660), an online self-survey-based research study of the Michael J. Fox Foundation. Real-world cohorts are the Optum Integrated Claims-electronic health records (N = 157,475), representing wide-scale linked medical and claims data and de-identified data from Mass General Brigham (MGB, N = 22,949), an academic hospital system. Structured, de-identified electronic health records data at MGB are supplemented using natural language processing with a large language model to extract measurements of PD progression. This extraction process is manually validated for accuracy. Motor and cognitive progression scores change more rapidly in MGB than HBS (median survival until H&Y 3: 5.6 years vs. >10, p<0.001; mini-mental state exam median decline 0.28 vs. 0.11, p<0.001; and clinically recognized cognitive decline, p=0.001). In the real-world populations, patients are diagnosed more than eleven years later (RWD mean of 72.2 vs. research mean of 60.4, p<0.001). After diagnosis, in real-world cohorts, treatment with PD medications is initiated 2.3 years later on average (95% CI: [2.1-2.4]; p<0.001). This study provides a detailed characterization of Parkinson's progression in diverse populations. It delineates systemic divergences in the patient populations enrolled in research settings vs. patients in the real world. These divergences are likely due to a combination of selection bias and real population differences, but exact attribution of the causes is challenging using existing data. This study emphasizes a need to utilize multiple data sources and to diligently consider potential biases when planning, choosing data sources, and performing downstream tasks and analyses.

Intensive heart rhythm monitoring to decrease ischemic stroke and systemic embolism-the Find-AF 2 study-rationale and design.

BACKGROUND: Atrial fibrillation (AF) is one of the most frequent causes of stroke. Several randomized trials have shown that prolonged monitoring increases the detection of AF, but the effect on reducing recurrent cardioembolism, ie, ischemic stroke and systemic embolism, remains unknown. We aim to evaluate whether a risk-adapted, intensified heart rhythm monitoring with consequent guideline conform treatment, which implies initiation of oral anticoagulation (OAC), leads to a reduction of recurrent cardioembolism. METHODS: Find-AF 2 is a randomized, controlled, open-label parallel multicenter trial with blinded endpoint assessment. 5,200 patients ≥ 60 years of age with symptomatic ischemic stroke within the last 30 days and without known AF will be included at 52 study centers with a specialized stroke unit in Germany. Patients without AF in an additional 24-hour Holter ECG after the qualifying event will be randomized in a 1:1 fashion to either enhanced, prolonged and intensified ECG-monitoring (intervention arm) or standard of care monitoring (control arm). In the intervention arm, patients with a high risk of underlying AF will receive continuous rhythm monitoring using an implantable cardiac monitor (ICM) whereas those without high risk of underlying AF will receive repeated 7-day Holter ECGs. The duration of rhythm monitoring within the control arm is up to the discretion of the participating centers and is allowed for up to 7 days. Patients will be followed for at least 24 months. The primary efficacy endpoint is the time until recurrent ischemic stroke or systemic embolism occur. CONCLUSIONS: The Find-AF 2 trial aims to demonstrate that enhanced, prolonged and intensified rhythm monitoring results in a more effective prevention of recurrent ischemic stroke and systemic embolism compared to usual care.

Immunolab: Combining targeted real-world data with advanced analytics to generate evidence at scale in immunology.

Real-world evidence (RWE) has traditionally been used by regulatory or payer authorities to inform disease burden, background risk, or conduct post-launch pharmacovigilance, but in recent years RWE has been increasingly used to inform regulatory decision-making. However, RWE data sources remain fragmented, and datasets are disparate and often collected inconsistently. To this end, we have constructed an RWE-generation platform, Immunolab, to facilitate data-driven insights, hypothesis generation and research in immunological diseases driven by type 2 inflammation. Immunolab leverages a large, anonymized patient cohort from the Optum electronic health record and claims dataset containing over 17 million patient lives. Immunolab is an interactive platform that hosts three analytical modules: the Patient Journey Mapper, to describe the drug treatment patterns over time in patient cohorts; the Switch Modeler, to model treatment switching patterns and identify its drivers; and the Head-to-Head Simulator, to model the comparative effectiveness of treatments based on relevant clinical outcomes. The Immunolab modules utilize various analytic methodologies including machine learning algorithms for result generation which can then be presented in various formats for further analysis and interpretation.

Long-Term Follow-up of Enhanced Holter-Electrocardiography Monitoring in Acute Ischemic Stroke.

BACKGROUND AND PURPOSE: Prolonged electrocardiography (ECG)-monitoring in stroke patients improves the detection of paroxysmal atrial fibrillation (pAF). However, most randomized studies only had short follow-up. We aimed to provide 3-year follow-up data for AF detection and stroke recurrence risk. METHODS: We randomized 402 patients aged ≥60 years with acute ischemic strokes without AF to either enhanced and prolonged monitoring (EPM; 3×10-day Holter-ECG-monitoring) or standard-of-care (≥24 hours ECG-monitoring). The endpoint of the current analysis was AF within 36 months analyzed by intention to treat. Long-term follow-up was performed for 36 months. RESULTS: Two hundred and seventy-four patients (80%) participated in the extended follow-up (median duration of follow-up was 36 months [interquartile range, 12 to 36]). During the first 6 months, more AF was documented in the EPM arm compared to the control arm (13.5% vs. 5.1%; 95% confidence interval, 2.9% to 14.4%; P=0.004). During months 6 to 36, AF was less detected in the EPM intervention arm than in the control arm (2.0% vs. 7.3%; 95% confidence interval, 0.7% to 9.9%; P=0.028). Overall, the detection rate of AF within 36 months was numerically higher within the EPM group (15.0% vs. 11.1%, P=0.30). Numerically less patients in the EPM arm had recurrent ischemic strokes (5.5% vs. 9.1%, P=0.18), transient ischemic attacks (3.0% vs. 4.5%, P=0.44) or died (4.5% vs. 6.6%, P=0.37). CONCLUSIONS: Enhanced and prolonged ECG monitoring increased AF detection during the first six months, but there was significantly more clinical AF during months 6 to 36 observed in the usual-care arm. This suggests that EPM leads to an earlier detection of clinically relevant AF.

Health-related quality of life, anxiety and depression up to 12 months post-stroke: Influence of sex, age, stroke severity and atrial fibrillation - A longitudinal subanalysis of the Find-AFRANDOMISED trial.

BACKGROUND: Stroke can negatively impact the health-related quality of life (HRQoL). Anxiety or depression after stroke have been associated with poorer HRQoL, higher mortality and greater dependence in activities of daily living. We aimed to analyze HRQoL, anxiety and depressive symptoms in patients with and without atrial fibrillation (AF) up to 12 months post-stroke. METHODS: Find-AFRANDOMISED was a prospective, randomized multicenter study, which included 398 patients ≥60 years with acute cerebral ischemia. HRQoL data were collected using the 3-level EuroQol-5D (EQ-5D-3L) and Stroke Impact Scale (SIS-16). Anxiety and depressive symptoms were measured using the Hospital Anxiety and Depression Scale (HADS). The severity of stroke was measured using the modified Rankin Scale (mRS). RESULTS: In this study (mean age 72.7 ± 7.5 years, 40.2% females), there was a significant improvement in HRQoL using EQ-5D-3L after 3 months (ß = 0.37, p < .01), 6 months (ß = 0.43, p < .01) and 12 months (ß = 0.44, p < .01) post-stroke compared to baseline. HADS anxiety scores after 3 months (ß = -0.22, p < .01) and 12 months (ß = -0.28, p < .01) were significantly reduced. Older patients reported reduced HRQoL and more depressive symptoms. Females indicated lower HRQoL and more anxiety. mRS score at baseline was an independent predictor for HRQoL. There was a significant but small effect of AF on EQ-5D-3L and on HADS anxiety. CONCLUSIONS: Patients showed significant improvement in HRQoL and reduced anxiety after 3 and 12 months after stroke. We could demonstrate that the severity of stroke as well as sex and age impact long-term post-stroke HRQoL. CLINICAL TRIAL REGISTRATION: Clinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01855035.

Brain Natriuretic Peptide and Discovery of Atrial Fibrillation After Stroke: A Subanalysis of the Find-AFRANDOMISED Trial.

Background and Purpose- Diagnosing paroxysmal atrial fibrillation (pAF) can be challenging after acute ischemic stroke. Enhanced and prolonged Holter-ECG monitoring (EPM) improves the detection rate but is not feasible for all patients. We hypothesized that brain natriuretic peptide (BNP) may help to identify patients with stroke at high risk for pAF to select patients for EPM more effectively. Methods- Patients with acute cerebral ischemia ≥60 years presenting in sinus rhythm and without history of AF were included into a prospective, randomized multicenter study to receive either EPM (3× 10-day Holter-ECG) or usual stroke care diagnostic work-up. BNP plasma levels were measured on randomization and 3 months thereafter. Levels were compared between patients with and without pAF detected by means of EPM or usual care. Furthermore, the number needed to screen for EPM depending on BNP cut offs was calculated. Results- A total of 398 patients were analyzed. In 373 patients (93.7%), BNP was measured at baseline and in 275 patients (69.1%) after 3 months. pAF was found in 27 patients by means of EPM and in 9 patients by means of usual care (P=0.002). Median BNP was higher in patients with pAF as compared to patients without AF in both study arms at baseline (57.8 versus 28.3 pg/mL in the EPM arm, P=0.0003; 46.2 versus 27.7 pg/mL, P=0.28 in the control arm) and after 3 months (74.9 versus 31.3 pg/mL, P=0.012 in the EPM arm, 99.3 versus 26.3 pg/mL, P=0.02 in the control arm). Applying a cut off of 100 pg/mL, the number needed to screen was reduced from 18 by usual care to 3 by EPM. Conclusions- BNP measured early after ischemic stroke identifies a subgroup of patients with stroke at increased risk for AF, in whom EPM is particularly efficacious. Registration- URL: https://www.clinicaltrials.gov. Unique identifier: NCT01855035.

NfL (Neurofilament Light Chain) Levels as a Predictive Marker for Long-Term Outcome After Ischemic Stroke.

Background and Purpose- Ischemic stroke causes major disability as a consequence of neuronal loss and recurrent ischemic events. Biomarkers predicting tissue damage or stroke recurrence might be useful to guide an individualized stroke therapy. NfL (neurofilament light chain) is a promising biomarker that might be used for this purpose. Methods- We used individual data of patients with an acute ischemic stroke and clinical long term follow-up. Serum NfL (sNfL) was quantified within 24 hours after admission and after 1 year and compared with other biomarkers (GDF15 [growth differentiation factor 15], S100, NT-proBNP [N-terminal pro-B-type natriuretic peptide], ANP [atrial natriuretic peptide], and FABP [fatty acid-binding protein]). The primary end point was functional outcome after 90 days and cerebrovascular events and death (combined cardiovascular end point) within 36 months of follow-up. Results- Two hundred eleven patients (mean age, 68.7 years; SD, ±12.6; 41.2% women) with median clinical severity on the National Institutes of Health Stroke Scale (NIHSS) score of 3 (interquartile range, 1-5) and long-term follow-up with a median of 41.8 months (interquartile range, 40.0-44.5) were prospectively included. We observed a significant correlation between sNfL and NIHSS at hospital admission (r=0.234; P<0.001). sNfL levels increased with the grade of age-related white matter changes (P<0.001) and were able to predict unfavorable clinical outcome (modified Rankin Scale score, ≥2) 90 days after stroke (odds ratio [OR], 1.562; 95% CI, 1.003-2.433; P=0.048) together with NIHSS (OR, 1.303; 95% CI, 1.164-1.458; P<0.001) and age-related white matter change rating (severe; OR, 3.326; 95% CI, 1.186-9.326; P=0.022). Similarly, sNfL was valuable for the prediction of the combined cardiovascular end point (OR, 2.002; 95% CI, 1.213-3.302; P=0.007), besides NIHSS (OR, 1.110; 95% CI, 1.000-1.232; P=0.049), diabetes mellitus (OR, 2.942; 95% CI, 1.306-6.630; P=0.005), and age-related white matter change rating (severe; OR, 4.816; 95% CI, 1.206-19.229; P=0.026) after multivariate regression analysis. Kaplan-Meier analysis revealed significantly more combined cardiovascular end points (18 [14.1%] versus 38 [45.8%], log-rank test P<0.001) during long-term follow-up in patients with elevated sNfL levels. Conclusions- sNFL is a valuable biomarker for functional independence 90 days after ischemic stroke and predicts cardiovascular long-term outcome. Clinical Trial Registration- URL: http://www.isrctn.com. Unique identifier: ISRCTN 46104198.

Economic evaluation of prolonged and enhanced ECG Holter monitoring in acute ischemic stroke patients.

Objective: Atrial fibrillation (AF) is a major cause for recurrent stroke, has severe impact on a patient's health and imposes a high economic burden for society. Current guidelines recommend 24 h ECG monitoring (standard-of-care, SoC) to detect AF after stroke to reduce the risk of future events. However, paroxysmal AF (PAF) is difficult to detect within this period as it occurs infrequently and unpredictably. In a randomized controlled trial (Find-AFRANDOMISED), prolonged and enhanced Holter ECG monitoring (EPM) revealed a significantly higher detection rate of AF compared to SoC, although its cost-effectiveness has not yet been investigated. Methods: Based on the data of FIND-AFRANDOMISED, an economic evaluation was conducted. One group received EPM for 10 days after the event, and at 3 and 6 months; the other group received SoC. Healthcare resource use and quality of life (QoL) data were measured at baseline, and after 6 and 12 months. Incremental costs and quality-adjusted life years (QALYs) between both groups were compared. Non-parametric bootstrapping and one-way-sensitivity analyses were performed. Results: A total of 281 patients with healthcare resource use and QoL data for all measurement points were considered in the economic evaluation (complete case analysis, CCA). The CCA yielded nonsignificant 315€ lower mean costs and 0.0013 less QALYs for patients receiving EPM with no statistically significant differences in any cost categories. Sensitivity analyses revealed robust results. Bootstrapping the results indicated moderate probability of cost-effectiveness. Conclusions: EPM yielded reduced not significantly different costs without affecting QoL and may be a useful strategy to detect PAF in acute ischemic stroke patients in time.

The cardiac diagnostic work-up in stroke patients-A subanalysis of the Find-AFRANDOMISED trial.

BACKGROUND: The cardiac diagnostic workup of stroke patients, especially the value of echocardiography and enhanced and prolonged Holter-ECG monitoring, is still a matter of debate. We aimed to analyse the impact of pathologies detected by echocardiography and ECG monitoring on therapeutic decisions and prognosis. METHODS: Find-AFRANDOMISED was a prospective multicenter study which randomised 398 acute ischemic stroke patients ≥ 60 years to enhanced and prolonged Holter-ECG monitoring or usual stroke unit care. This substudy compared therapeutic consequences of echocardiography and routine Holter-ECG or enhanced and prolonged Holter-ECG monitoring, respectively, and prognosis of patients with or without pathologic findings in echocardiography or Holter-ECG monitoring. RESULTS: 50.3% received enhanced and prolonged Holter-ECG monitoring and 49.7% routine ECG monitoring. 82.9% underwent transthoracic echocardiography (TTE), 38.9% transesophageal echocardiography (TEE) and 25.6% both procedures. 14/89 TEE pathologies and 1/90 TTE pathology led to a change in therapy, resulting in a number needed to change decision (NNCD) of 12 and 330 (p < 0.001), respectively. In comparison, enhanced and prolonged Holter-ECG monitoring found atrial fibrillation (AF) in 27 of 200 patients, and routine ECG monitoring in twelve of 198 patients, leading to therapeutic changes in all patients (NNCD 8 and 17, respectively, p < 0.001). CONCLUSIONS: Most changes in therapeutic decisions were triggered by enhanced and prolonged Holter-ECG monitoring, which should therefore play a more prominent role in future guidelines. Echocardiography identifies a patient group at high cardiovascular risk, but rarely result in therapeutic changes. Whether this patient group requires further cardiovascular workup remains unknown. This should be further investigated by interdisciplinary neurocardiologic teams and in appropriate future trials. TRIAL REGISTRATION: ClinicalTrials.gov NCT01855035.

Reverse left ventricular structural remodeling after catheter ablation of atrial fibrillation in patients with preserved left ventricular function: Insights from cardiovascular magnetic resonance native T1 mapping.

BACKGROUND: Catheter ablation of atrial fibrillation (AF) improves left ventricular (LV) function in patients with LV systolic dysfunction, suggestive of underlying arrhythmia-induced adverse remodeling. OBJECTIVES: The objectives of this study were to evaluate whether arrhythmia-induced LV remodeling occurs in patients with AF and preserved LV systolic function and to assess whether this remodeling is reversible after restoration of sinus rhythm by catheter ablation. METHODS: Forty-three patients with AF and preserved LV systolic function (LV ejection fraction 62% ± 7%) underwent cardiovascular magnetic resonance (CMR) imaging before catheter ablation including native T1 mapping using a modified Look-Locker inversion recovery sequence. Twenty-five patients underwent follow-up CMR 3 months after catheter ablation. Twenty-two matched controls without AF underwent the same CMR protocol. RESULTS: Patients with AF had higher baseline LV native T1 values than did controls (1296 ± 55 ms vs 1243 ± 55 ms; P < .01). During a median follow-up of 9 months (interquartile range 4-14 months), 17 patients (40%) experienced AF recurrence. No differences in baseline T1 values were observed between patients with and without AF recurrence. There was a significant decrease in native T1 values in patients with successful restoration of sinus rhythm after catheter ablation at 3 months of follow-up CMR (1300 ± 45 ms vs 1270 ± 55 ms; P < .01), while they remain unchanged in patients with AF recurrence (1303 ± 51 ms vs 1309 ± 31 ms; P = .64). CONCLUSION: These preliminary results suggest that subclinical arrhythmia-induced LV structural remodeling occurs in patients with AF and preserved LV systolic function. This remodeling might be reversible after catheter ablation with successful restoration of sinus rhythm as quantified noninvasively and gadolinium-free by CMR native T1 mapping.

Development and validation of a score to detect paroxysmal atrial fibrillation after stroke.

OBJECTIVE: Prolonged monitoring times (72 hours) are recommended to detect paroxysmal atrial fibrillation (pAF) after ischemic stroke but this is not yet clinical practice; therefore, an individual patient selection for prolonged ECG monitoring might increase the diagnostic yield of pAF in a resource-saving manner. METHODS: We used individual patient data from 3 prospective studies (ntotal = 1,556) performing prolonged Holter-ECG monitoring (at least 72 hours) and centralized data evaluation after TIA or stroke in patients with sinus rhythm. Based on the TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) guideline, a clinical score was developed on one cohort, internally validated by bootstrapping, and externally validated on 2 other studies. RESULTS: pAF was detected in 77 of 1,556 patients (4.9%) during 72 hours of Holter monitoring. After logistic regression analysis with variable selection, age and the qualifying stroke event (categorized as stroke severity with NIH Stroke Scale [NIHSS] score ≤5 [odds ratio 2.4 vs TIA; 95% confidence interval 0.8-6.9, p = 0.112] or stroke with NIHSS score >5 [odds ratio 7.2 vs TIA; 95% confidence interval 2.4-21.8, p < 0.001]) were found to be predictive for the detection of pAF within 72 hours of Holter monitoring and included in the final score (Age: 0.76 points/year, Stroke Severity NIHSS ≤5 = 9 points, NIHSS >5 = 21 points; to Find AF [AS5F]). The high-risk group defined by AS5F is characterized by a predicted risk between 5.2% and 40.8% for detection of pAF with a number needed to screen of 3 for the highest observed AS5F points within the study population. Regarding the low number of outcomes before generalization of AS5F, the results need replication. CONCLUSION: The AS5F score can select patients for prolonged ECG monitoring after ischemic stroke to detect pAF. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that the AS5F score accurately identifies patients with ischemic stroke at a higher risk of pAF.

Relevance of supraventricular runs detected after cerebral ischemia.

OBJECTIVE: Prolonged ECG monitoring after stroke frequently reveals short paroxysmal atrial fibrillation (pAF) and supraventricular (SV) runs. The minimal duration of atrial fibrillation (AF) required to induce cardioembolism, the relevance of SV runs, and whether short pAF results from cerebral damage itself are currently being debated. We aimed to study the relevance of SV runs and short pAF detected by prolonged Holter ECG after cerebral ischemia during long-term follow-up. METHODS: Analysis is from the prospective Find-AF trial (ISRCTN46104198). We included patients with acute cerebral ischemia. Those without AF on admission received 7-day Holter ECG monitoring. We differentiated patients with AF on admission (AF-adm), with pAF (>30 seconds), with SV runs (>5 beats but <30 seconds in a 24-hour ECG interval), and without SV runs (controls). During follow-up, those with baseline pAF received another 7-day Holter ECG to examine AF persistence. RESULTS: A total of 254 of 281 initially included patients were analyzed (mean age 70.0 years, 45.3% female). Forty-three (16.9%) had AF-adm. A total of 211 received 7-day Holter ECG monitoring: 27 (12.8%) had pAF, 67 (31.8%) had SV runs, and 117 (55.5%) were controls. During a mean 3.7 years of follow-up, the SV runs group had more recurrent strokes (p = 0.04) and showed numerically more novel AF (12% vs 5%, p = 0.09) than the controls. Seventy-five percent of the patients with manifest pAF detected after cerebral ischemia still had AF during follow-up (50% paroxysmal, 50% persisting/permanent). CONCLUSIONS: Patients with cerebral ischemia and SV runs had more recurrent strokes and numerically more novel AF during follow-up and could benefit from further prolonged ECG monitoring. pAF detected after stroke is not a temporal phenomenon.

Holter-electrocardiogram-monitoring in patients with acute ischaemic stroke (Find-AFRANDOMISED): an open-label randomised controlled trial.

BACKGROUND: Atrial fibrillation is a major risk factor for recurrent ischaemic stroke, but often remains undiagnosed in patients who have had an acute ischaemic stroke. Enhanced and prolonged Holter-electrocardiogram-monitoring might increase detection of atrial fibrillation. We therefore investigated whether enhanced and prolonged rhythm monitoring was better for detection of atrial fibrillation than standard care procedures in patients with acute ischaemic stroke. METHODS: Find-AFrandomised is an open-label randomised study done at four centres in Germany. We recruited patients with acute ischaemic stroke (symptoms for 7 days or less) aged 60 years or older presenting with sinus rhythm and without history of atrial fibrillation. Patients were included irrespective of the suspected cause of stroke, unless they had a severe ipsilateral carotid or intracranial artery stenosis, which were the exclusion criteria. We used a computer-generated allocation sequence to randomly assign patients in a 1:1 ratio with permuted block sizes of 2, 4, 6, and 8, stratified by centre, to enhanced and prolonged monitoring (ie, 10-day Holter-electrocardiogram [ECG]-monitoring at baseline, and at 3 months and 6 months of follow-up) or standard care procedures (ie, at least 24 h of rhythm monitoring). Participants and study physicians were not masked to group assignment, but the expert committees that adjudicated endpoints were. The primary endpoint was the occurrence of atrial fibrillation or atrial flutter (30 sec or longer) within 6 months after randomisation and before stroke recurrence. Because Holter ECG is a widely used procedure and not known to harm patients, we chose not to assess safety in detail. Analysis was by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT01855035. FINDINGS: Between May 8, 2013, and Aug 31, 2014, we recruited 398 patients. 200 patients were randomly assigned to the enhanced and prolonged monitoring group and 198 to the standard care group. After 6 months, we detected atrial fibrillation in 14% of 200 patients in the enhanced and prolonged monitoring group (27 patients) versus 5% in the control group (nine of 198 patients, absolute difference 9·0%; 95% CI 3·4-14·5, p=0·002; number needed to screen 11). INTERPRETATION: Enhanced and prolonged monitoring initiated early in patients with acute ischaemic stroke aged 60 years or older was better than standard care for the detection of atrial fibrillation. These findings support the consideration of all patients aged 60 years or older with stroke for prolonged monitoring if the detection of atrial fibrillation would result in a change in medical management (eg, initiation of anticoagulation). FUNDING: Boehringer Ingelheim.

Natriuretic peptides for the detection of paroxysmal atrial fibrillation.

BACKGROUND AND PURPOSE: Silent atrial fibrillation (AF) and tachycardia (AT) are considered precursors of ischaemic stroke. Therefore, detection of paroxysmal atrial rhythm disorders is highly relevant, but is clinically challenging. We aimed to evaluate the diagnostic value of natriuretic peptide levels in the detection of paroxysmal AT/AF in a pilot study. METHODS: Natriuretic peptide levels were analysed in two independent patient cohorts (162 patients with arterial hypertension or other cardiovascular risk factors and 82 patients with retinal vessel disease). N-terminal-pro-brain natriuretic peptide (NT-proBNP) and BNP were measured before the start of a 7-day Holter monitoring period carefully screened for AT/AF. RESULTS: 244 patients were included; 16 had paroxysmal AT/AF. After excluding patients with a history of AT/AF (n=5), 14 patients had newly diagnosed AT/AF (5.8%) NT-proBNP and BNP levels were higher in patients with paroxysmal AT/AF in both cohorts: (1) 154.4 (IQR 41.7; 303.6) versus 52.8 (30.4; 178.0) pg/mL and 70.0 (31.9; 142.4) versus 43.9 (16.3; 95.2) and (2) 216.9 (201.4; 277.1) versus 90.8 (42.3-141.7) and 96.0 (54.7; 108.2) versus 29.1 (12.0; 58.1). For the detection of AT/AF episodes, NT-proBNP and BNP had an area under the curve in receiver operating characteristic analysis of 0.76 (95% CI, 0.64 to 0.88; p=0.002) and 0.75 (0.61 to 0.89; p=0.004), respectively. CONCLUSIONS: NT-proBNP and BNP levels are elevated in patients with silent AT/AF as compared with sinus rhythm. Thus, screening for undiagnosed paroxysmal AF using natriuretic peptide level initiated Holter monitoring may be a useful strategy in prevention of stroke or systemic embolism.

[GDF-15, MRproADM, CTproET1, and CTproAVP in patients with asymptomatic diastolic dysfunction]. / GDF-15, MRproADM, CTproET1 und CTproAVP bei Patienten mit asymptomatischer diastolischer Dysfunktion.

BACKGROUND: The role of biomarkers in asymptomatic diastolic dysfunction (DD) has not been investigated so far. The aim of the study was to evaluate the clinical associations and the diagnostic property of different biomarkers in patients with asymptomatic DD. METHODS: Within a population based observational study, healthy participants (50-85 years) with an LVEF ≥ 50 % and no cardiovascular risk factor were prospectively identified. Patients were classified as having either DD (grade ≥ 1, n = 103) or no DD (CON: n = 85). All patients underwent physical examination including medical history, six-minute-walk-testing, QoL (SF-36), comprehensive echocardiography and blood sampling to measure routine values and specified biomarkers (NTproBNP, MRproANP, GDF-15, MRproADM, CTproET1, CTproAVP). RESULTS: In the DD-group plasma concentration of GDF-15 (p = 0,002), MRproADM (p < 0,001), and CTproAVP (p = 0,003) were significantly higher than in the CON-group. In contrast, NTproBNP (p = 0,390), MRproANP (p = 287), and CTproET1 (p = 0,393) did not differ. GDF-15, MRproADM and CTproAVP were significantly associated with the presence of DD. However, the significance of the seen associations was lost after multiple adjustments. NTproBNP, MRproANP, and MRproADM were significantly related to E / e' as a continuous measure of diastolic function. The significance of the seen associations was lost after multiple adjustments. In ROC analyses, none of the investigated biomarkers was able to relevantly improve the diagnosis of DD. CONCLUSION: In patients with asymptomatic DD plasma concentrations of GDF-15, MRproADM and CT-proAVP were significantly higher when compared with controls. In contrast, NTproBNP, MRproANP and CTproET1 did not differ. After adjustment for age, sex, BMI and renal function, no significant association between DD or E / e' and different biomarkers could be observed. Furthermore, none of the investigated biomarkers was able to substantially improve the diagnosis of DD.

Finding atrial fibrillation in stroke patients: Randomized evaluation of enhanced and prolonged Holter monitoring--Find-AF(RANDOMISED) --rationale and design.

BACKGROUND: Detecting paroxysmal atrial fibrillation (AF) in patients with ischemic strokes presenting in sinus rhythm is challenging because episodes are often short, occur randomly, and are frequently asymptomatic. If AF is detected, recurrent thromboembolism can be prevented efficiently by oral anticoagulation. Numerous uncontrolled studies using various electrocardiogram (ECG) devices have established that prolonged ECG monitoring increases the yield of AF detection, but most established procedures are time-consuming and costly. The few randomized trials are mostly limited to cryptogenic strokes. The optimal method, duration, and patient selection remain unclear. Repeated prolonged continuous Holter ECG monitoring to detect paroxysmal AF within an unspecific stroke population may prove to be a widely applicable, effective secondary prevention strategy. STUDY DESIGN: Find-AFRANDOMISED is a randomized and controlled prospective multicenter trial. Four hundred patients 60 years or older with manifest (symptoms ≥24 hours or acute computed tomography/magnetic resonance imaging lesion) and acute (symptoms ≤7 days) ischemic strokes will be included at 4 certified stroke centers in Germany. Those with previously diagnosed AF/flutter, indications/contraindications for oral anticoagulation, or obvious causative blood vessel pathologies will be excluded. Patients will be randomized 1:1 to either enhanced and prolonged Holter ECG monitoring (10 days at baseline and after 3 and 6 months) or standard of care (≥24-hour continuous ECG monitoring, according to current stroke guidelines). All patients will be followed up for at least 12 months. OUTCOMES: The primary end point is newly detected AF (≥30 seconds) after 6 months, confirmed by an independent adjudication committee. We plan to complete recruitment in autumn 2014. First results can be expected by spring 2016.

Excessive supraventricular ectopic activity is indicative of paroxysmal atrial fibrillation in patients with cerebral ischemia.

BACKGROUND: Detecting paroxysmal atrial fibrillation (PAF) in patients with cerebral ischemia is challenging. Frequent premature atrial complexes (PAC/h) and the longest supraventricular run on 24-h-Holter (SV-run(24 h)), summarised as excessive supraventricular ectopic activity (ESVEA), may help selecting patients for extended ECG-monitoring, especially in combination with echocardiographic marker LAVI/a' (left atrial volume index/late diastolic tissue Doppler velocity). METHODS: Retrospective analysis from the prospective monocentric observational trial Find-AF (ISRCTN-46104198). Patients with acute stroke or TIA were enrolled at the University Hospital Göttingen, Germany. Those with sinus rhythm at presentation received 7-day Holter-monitoring. ESVEA was quantified in one 24-hour interval free from PAF. Echocardiographic parameters were assessed prospectively. RESULTS: PAF was detected in 23/208 patients (11.1%). The median was 4 [IQR 1; 22] for PAC/h and 5 [IQR 0; 9] for SV-run(24 h). PAF was more prevalent in patients with ESVEA: 19.6% vs. 2.8% for PAC/h >4 vs. ≤ 4 (p<0.001); 17.0% vs. 4.9% for SV-run(24 h >5) vs. ≤ 5 beats (p = 0.003). Patients with PAF showed more supraventricular ectopic activity: 29 PAC/h [IQR 9; 143] vs. 4 PAC/h [1]; [14] and longest SV-run(24 h = 10) [5]; [21] vs. 0 [0; 8] beats (both p<0.001). Both markers discriminated between the PAF- and the Non-PAF-group (area under receiver-operator-characteristics-curve 0.763 [95% CI 0.667; 0.858] and 0.716 [0.600; 0.832]). In multivariate analyses log(PAC/h) and log(SV-run(24 h)) were independently indicative of PAF. In Patients with PAC/h ≤ 4 and normal LAVI/a' PAF was excluded, whereas those with PAC/h >4 and abnormal LAVI/a' showed high PAF-rates. CONCLUSIONS: ESVEA discriminated PAF from non-PAF beyond clinical factors including LAVI/a' in patients with cerebral ischemia. Normal LAVI/a'+PAC/h ≤ 4 ruled out PAF, while prevalence was high in those with abnormal LAVI/a'+PAC/h >4.

Age-dependent yield of screening for undetected atrial fibrillation in stroke patients: the Find-AF study.

Diagnosis of paroxysmal atrial fibrillation (AF) in stroke patients is challenging, but highly clinically relevant. The percentage of stroke patients with permanent AF increases with age, but limited data are available for the age-dependent yield of paroxysmal AF by Holter monitoring. Patients with acute cerebral ischemia were included into the prospective observational Find-AF study. Patients free from AF at presentation received 7 day Holter monitoring. We calculated the percentage of otherwise undetected paroxysmal AF and the number needed to screen for age groups under 60 years, and in 5 year clusters from the age of 60 up to 85 and older. 272 patients were included, 43 (15.8 %) had AF at admission, 33 patients with paroxysmal AF were identified by 7 day Holter (n = 29) or medical history (n = 4).The yield of 7 day Holter ECG clearly increased with older age (p = 0.004): <60 years: 5 %, 60-64 years: 5 %, 65-69 years: 7 %, 70-74 years: 11 %, 75-79 years: 13 %, 80-84 years: 25 %, ≥ 85 years: 39 %. The number needed to screen (NNS) to find one patient with paroxysmal AF decreased with age: ≤ 60 years: 18, 60-64 years: 20, 65-69 years: 14, 70-74 years: 9, 75-79 years: 8, 80-84 years: 4, ≥ 85 years: 3, respectively. In patients <65 years, all AF cases were detected by Holter ECG. The percentage of paroxysmal AF in stroke patients increases with age. The 7 day Holter ECG is most efficient in elderly patients.