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Second look Holter ECG in neurorehabilitation

Neurological Research and Practice volume 1, Article number: 41 (2019) Cite this article

Abstract

Background

Many stroke survivors suffer recurrent stroke because paroxysmal atrial fibrillation (AF) was missed and no preventive anticoagulation initiated. This prospective cohort study determined the added diagnostic yield of second-look 24-h electrocardiographic recording (ECG) in a population at high risk for AF: patients who suffered a stroke of such severity that they require inpatient neurorehabilitation.

Methods

We enrolled 508 patients with ischemic stroke admitted to post-acute inpatient neurorehabilitation and determined whether AF was detected during acute care at the referring hospital. Second-look baseline and 24-h Holter ECG were then conducted during neurorehabilitation. Primary outcome was number of newly detected AF with duration of > 30 s; secondary outcomes were number of newly detected absolute arrhythmia of 10–30 s and < 10 s duration. For comparison, we further enrolled 100 patients with hemorrhagic stroke without history of AF (age = 72 + 11 years, 51% female).

Results

In 206 of the 508 ischemic stroke patients, AF had been detected during acute phase work-up (age = 78 + 10 years, 55% female). For the remaining 302 ischemic stroke patients, no AF was detected during acute phase work-up (age = 74 + 9 years; 47% female). Second-look 24-h ECG showed previously missed AF of > 30 s in 20 of these patients, i.e. 6.6% of the sample, and shorter absolute arrhythmia in 50 patients (i.e. 16.5%).

Conclusions

Second-look 24-Hour ECG performed during post-acute inpatient neurorehabilitation has a high diagnostic yield and should become a standard component of recurrent stroke prevention.

Introduction

Atrial fibrillation (AF) is the leading preventable cause of recurrent stroke but easily escapes detection when paroxysmal. Moreover, short length of stay in acute stroke care adds to the diagnostic challenge. As of yet, we have no basis for anticoagulant treatment of patients with embolic stroke of undetermined source without documentation of AF [1,2,3]. Therefore, detection of AF remains a cornerstone for overall prevention of recurrent stroke. But, it is still unclear who should be monitored, when, and for how long [4]. Current stroke guidelines recommend 24-h electrocardiographic (ECG) monitoring [5, 6]; yet previous research indicates that a considerable portion of AF is missed with this standard work-up [7]. Prolonged continuous ECG monitoring with long-term non-invasive or implantable monitor systems might be a solution [7,8,9,10]. However, availability of implantable devices is still limited [11]. The current study investigated the diagnostic yield of a 2nd-look 24-h ECG conducted during post-acute inpatient neurorehabilitation. Stroke survivors who require inpatient neurorehabilitation due to severe functional impairment have a particularly high risk for AF because stroke severity is closely associated with probability of AF [12, 13]. Therefore, in terms of total diagnostic yield and cost, second-look 24-h Holter ECG in high-risk patients could compare favorably with more extensive monitoring in lower-risk populations [14].

Our primary objective was to determine the added diagnostic yield of this procedure. Therefore, we prospectively recruited and tested patients with a diagnosis of ischemic stroke for whom no AF was detected during acute care.

A secondary objective was to estimate the total rate of AF in ischemic stroke patients requiring inpatient neurorehabilitation. Therefore, we also recruited and tested patients with a diagnosis of ischemic stroke for whom AF was detected during acute care work-up.

Finally, to rule out that AF resulted from brain lesion rather than being the cause of ischemic strokes, we recruited and tested a comparison group of patients with hemorrhagic stroke (and no history of AF or anticoagulation treatment).

Methods

The study was performed in a single inpatient neurorehabilitation center (Mauritius Hospital Meerbusch, Germany) with 200 beds serving a catchment area of approximately 2.8 million people. Admission criteria to inpatient neurorehabilitation are substantial functional deficits corresponding to a modified Rankin score of three or worse attributable to acute neurological disease with a potential for improvement.

We prospectively included consecutive patients with ischemic or hemorrhagic strokes over an 18-months period. All survivors of acute ischemic or hemorrhagic stroke admitted to our center after hospital-based acute care were enrolled and recruitment was terminated once the pre-specified recruitment target of 600 patients was met. The number was chosen to compare with other studies in the field [9]. No further distinction was made between stroke etiologies such as lacunar or embolic because the extent of brain damage qualifying for inpatient neurorehabilitation was always compatible with a possible cardiac embolism. Exclusion criteria were primary intracranial hemorrhages with known AF or association with oral anticoagulation. Patients were assessed for demographics, acute phase (i.e. pre-rehabilitation) work-up, and CHA2DS2VASc scores. Holter ECG was conducted using a commercially available 3-lead Holter monitor device (Custo-med GmbH, Germany). ECG recordings were analyzed by independent expert investigators, and blinded to clinical data using dedicated analysis software (custo-med GmbH for Windows, Version 4.3.1 Build 18,597).

AF was defined as at least one period of greater than 30 s duration of an absolute arrhythmia (AA) without detectable P-waves and without a pattern more consistent with an alternative diagnosis [15]. Additionally, shorter arrhythmias were analyzed and classified as short atrial arrhythmias, i.e. of 10 to 30 s duration, or as atrial runs, i.e. of less than 10 s duration, because atrial arrhythmias of less than 30 s duration have been associated with increased stroke risk and are often used in clinical decision-making [9, 16].

Analysis of variance, chi-square tests, t-tests for independent samples (two-sided, α = .05) and logistic regression were used for statistical analysis, performed in SPSS (Version 22).

Ethics committee approval

This research was approved by the Independent Ethics Committee of the Heinrich Heine University Düsseldorf, Germany (protocol no 4670).

Role of the funding source

This study was funded by the Mauritius Hospital Meerbusch, a non profit institution. The funder was not involved in the design or conduct of the study or the preparation of this manuscript (Fig. 1).

Fig. 1
figure 1

Selection of patients evaluated in the study. Note that ECG assessment was sequential, consisting of a baseline ECG and if negative a Holter ECG

Full size image

Results

Group classification

A total of 608 patients were entered in the analysis, of which 508 had ischemic stroke and 100 had hemorrhages (=comparison group). During acute care, a diagnosis of AF had been established in 206 of patients with ischemic stroke (i.e. in 40.5% of cases), whereas no AF had been detected during acute care in the remaining 302 of patients with ischemic stroke. The mean latency between stroke and admission to neurorehabilitation was 24 days in both groups with ischemic stroke and 26 days in patients with hemorrhage.

Demographic characteristics, concomitant conditions and cardiovascular risk as estimated by the CHA2DS2VASc score are displayed in Table 1. Ischemic stroke patients with AF established during acute care were significantly older than ischemic stroke patients without a diagnosis of AF (delta = 3.5 years, LDS, p = 0.02) and patients with cerebral hemorrhage (delta = 6.2 years, p < .001). Furthermore, ischemic stroke patients with AF established during acute care had a higher total CHA2DS2VASc score than patients without a diagnosis of AF (delta = 0.15, p = 0.02) or with cerebral hemorrhage (delta = 2.74, p < .001). Meanwhile, ischemic stroke patients without AF established during acute care were older (delta = 2.6 years, p = .03) and had a higher CHA2DS2VASc score (delta = 2.5, p < .001) than patients with cerebral hemorrhage.

Table 1 Patient characteristics including mean CHA2DS2VASc -score
Full size table

Added diagnostic yield of post-acute second-look 24-h ECG

Second-look baseline ECG during neurorehabilitation found AF in 3 of the 302 patients with ischemic stroke for whom no AF was found during acute-care work-up. Second look 24-h Holter ECG revealed AF in an additional 17 patients of this group. In total, previously undetected AF was thus found in 6.6% of patients with ischemic stroke admitted without a diagnosis of AF. A further 11 patients (i.e. 3.6%) showed absolute arrhythmia of 10–30 s on the 24-h and 39 patients (i.e. 12.9%) showed absolute arrhythmia of < 10 s on the 24-h Holter ECG.

Patients for whom AF was newly detected during this second-look ECG work-up were moderately, but not significantly, older (delta = 3.2 years, p = .07) than patients for whom AF was not detected in either the acute phase nor on second-look ECG. Total CHA2DS2VASc score (delta = .29, p = .32) and prevalences of the individual risk factors comprised in the CHA2DS2VASc score did not differ between the two groups (all X2 < 1.45, p > .25).

Total rate of AF in ischemic stroke patients requiring inpatient neurorehabilitation

For 206 of the 508 patients with ischemic stroke admitted to our neurorehabilitation center, AF was already confirmed during the acute-care work-up. Details of the diagnostic work-up during acute care in referring hospital are provided in Table 2. Together with the 20 newly detected cases, the total rate of AF in ischemic stroke patients requiring inpatient neurorehabilitation was therefore determined as 226 out of 528 patients or 44.5% of the cohort (see Fig. 2).

Table 2 ECG during acute care in referring hospital
Full size table
Fig. 2
figure 2

Proportion of patients with ischemic stroke (total n = 508) diagnosed with AF based on acute care work-up alone (left) and based on both acute care work-up and post-acute second-look ECG performed during inpatient neurorehabilitation

Full size image

Across all ischemic stroke patients, AF (diagnosed during acute care and/or neurorehabilitation) showed a significant association with age (logistic regression with age as predictor and AF (yes/no) as independent variable; β = .05, p < .0001). The highest prevalence of AF was observed for patients aged 80 to 89 years and was 62% (see Fig. 3).

Fig. 3
figure 3

Prevalence of AF (based on both acute care work-up and post-acute second-look 24 h ECG) relative to age (x-axis) in patients with ischemic stroke requiring inpatient neurorehabilitation (number of patients per age group in brackets)

Full size image

Sensitivity: results of post-acute work-up in patients admitted with AF diagnosis

In the 206 patients with ischemic stroke in whom AF had been detected during acute care, second-look baseline ECG revealed AF in 138 cases (i.e. 67% of the sample). A subsequent 24-h Holter ECG confirmed AF in a further 34 patients (i.e. 16.5% of the sample). In the remaining 34 individuals (i.e. 16.5% of the sample), second-look 24-h ECG did not show AF. These results again demonstrate that (paroxysmal) AF is sometimes missed in a 24-h ECG.

Results of post-acute 24-h ECG in the comparison group with hemorrhagic group

In patients with hemorrhagic stroke, 24-h ECG performed during post-acute neurorehabilitation revealed AF in 2 patients (i.e. 2% of cohort) and absolute arrhythmia of < 10 s in 6 patients (6%). Absolute arrhythmia of 10–30 s did not occur in this cohort.

Discussion

Main findings

This prospective evaluation investigated the diagnostic yield of second-look 24-h ECG in 508 consecutive patients with ischemic stroke selected on the basis of requiring inpatient neurorehabilitation. Stroke patients requiring inpatient neurorehabilitation are older and more severely affected than unselected stroke survivors. Given that both of these factors are associated with increased risk for AF [12], we postulated that stroke patients requiring inpatient neurorehabilitation constitute a high-risk cohort. Our data confirm this hypothesis. The total (combined) prevalence of AF in our neurorehabilitation cohort of ischemic stroke patients was 44.5% (226 out of 508 patients). In comparison, previously reported prevalence of AF based on 24–74 h of ECG monitoring in unselected samples of ischemic stroke or ischemic transient attack survivors typically ranged between 5 and 10% [9, 17,18,19,20,21].

The added diagnostic yield of second-look ECG work-up during post-acute care, consisting of a baseline ECG and subsequent 24-h Holter ECG, in this high-risk cohort was also impressive: AF was detected in 6.6% of ischemic stroke patients for whom acute-phase work-up found no AF. In comparison, in a cohort of unselected stroke patients who were re-assessed by second-look 24-h ECG within 6 month of their stroke in the EMBRACE control arm, the rate of newly detected AF was 3.2% [8], approximately half of that found here. Similarly, a recent prospective multicenter trial showed that prolonging acute-phase Holter ECG monitoring from 24 h to 72 h resulted in an added detection of 1.7% cases [9], 4–5 times less than that found in the current study. Moreover, our detection rate is five times higher than that found in unselected stroke patients re-assessed at scheduled and unscheduled visits with ECG monitoring performed at the discretion of stroke specialists in the CRYSTAL-AF control cohort [7].

Length of arrhythmias

The diagnosis of paroxysmal AF requires the detection of an arrhythmia of 30 s or longer [22]. This definition is based on convention, but has been widely accepted. Nonetheless, observational data suggest that shorter atrial arrhythmias identify patients with AF, and that patients with such arrhythmias have an increased risk of stroke [23,24,25]. Therefore, in clinical practice, many patients with briefer AF episodes after cryptogenic stroke are prescribed anticoagulant therapy - particularly by neurologists [16]. For instance, the STROKESTOP mass screening for AF study in Sweden used two episodes of irregular rhythm without p-waves of 10–29 s as a criterion for anticoagulation prescription [26]. Further, other studies evaluated the usefulness of oral anticoagulation in all patients with embolic stroke of unknown origin and no positive documentation of AF in 24-h ECG where many eligible patients will have undetected atrial arrhythmias or even undetected atrial fibrillation [2, 3]. Here, we thus also reported on patients with short atrial arrhythmias. We found that an additional 3.6% of ischemic stroke patients for whom acute-care work-up showed no AF had atrial arrhythmias of 10–30 s duration and an additional 12.9% had arrhythmias of less than 10 s. All durations taken together, arrhythmias were thus found in 23%, or one in four patients, of the subsample, which corresponds well with the results of a recent meta-analysis by Sposato and colleagues on prevalence of atrial arrhythmias of any length [27]. However, their meta-analysis reviewed findings from a four-stage sequential screening including inpatient serial monitoring, ambulatory Holter ECG, as well as outpatient external and implantable loop recordings. In other words, in our high risk group, 24 h-screening provided equally high detection rates of atrial arrhythmias as extensive and invasive sequential screenings in unselected cohorts.

Causality

Differentiation between patients with AF antecedent to stroke and those with new onset AF is not feasible. Brain lesions may trigger AF [28, 29]. Could AF in this cohort reflect an effect of brain lesion rather than of stroke cause, particularly since our patients presumably had larger lesions than unselected stroke patients? To answer this question we also assessed AF in patients with brain hemorrhages without a history of AF, as an internal control for the effect of brain lesion unrelated to cardiogenic embolism. For this group, detection rate of AF in 24-h ECG during neurorehabilitation was only 2%, i.e. three times less often than in patients with ischemic stroke. These differences did not, however, reach significance on chi-square testing for independence (p = 0.078). Short arrhythmia were found in 6% of hemorrhagic stroke patients and were thus also significantly rarer in hemorrhagic compared to ischemic stroke patients. These findings suggest that AF in our cohort was much more likely to be the cause for rather than a sequel of ischemic brain lesion.

Limitations

Some of our clinical data were obtained from outside acute care institutions with variability in type and documentation of the primary diagnostic work-up. In some cases, mode of ECG assessment was not reported (see Table 2). Similarly, documentation of etiological classification of strokes was heterogeneous.

Cost-effectiveness

Outpatient cardiac monitoring for detection of previously missed AF in a hypothetical cohort of 70-year-old stroke survivors has been found cost-effective over a range of models based on an added diagnostic yield of 4.4% [30]. Comparable results have been obtained from the Swedish system based on use of health care resources, savings of costs and lives, and improvement of quality of life [31].

Our data did not allow for a full cost-effectiveness model. However, since inpatient second-look ECG monitoring requires less incremental logistics, allows for more timely diagnosis and treatment and provides higher detection rates, we assume that second-look 24-h ECG in inpatient neurorehabilitation is even more cost-effective than outpatient monitoring.

Annual recurrence rate of up to 19% have been reported in stroke patients with AF detected after discharge [32]. Conversely, in the age group older than 75 years, anticoagulation initiated after detection of AF provides almost a 60% risk reduction of stroke relative to antiplatelet therapy [33, 34]. Given the 6% detection rate of previously missed AF in the present study, a second-look 24-h ECG during inpatient neurorehabilitation with appropriate subsequent treatment could therefore, over the course of five years, prevent one recurrent stroke for every 25 patients evaluated. The number needed to screen would be even lower if shorter duration atrial arrhythmias were included. Given that around 40% of ischemic stroke patients are referred to inpatient post-acute rehabilitation [35], the overall impact of a second-look ECG for AF would be substantial.

Inpatient neurorehabilitation allows for second-look etiological evaluation, management of medical complication, training of impaired functions and initiation of future care. However, as yet, diagnostic measures have neither been incorporated into guidelines for post-stroke neurorehabilitation, nor are they reimbursed. The present study demonstrates that secondary prevention of stroke could gain substantially by better use of the full chain of care.

Conclusions

A simple second-look 24-h ECG in stroke survivors during inpatient neurorehabilitation identifies more patients with previously missed AF than in most other settings and should be made a standard of care.

Availability of data and materials

Please contact corresponding author for data requests

References

  1. Hart, R. G., Diener, H.-C., Coutts, S. B., Easton, J. D., Granger, C. B., O’Donnell, M. J., et al. (2014). Embolic strokes of undetermined source: the case for a new clinical construct. Lancet Neurol, 13, 429–438.

    Article  Google Scholar 

  2. Hart, R. G., Sharma, M., Mundl, H., Kasner, S. E., Bangdiwala, S. I., Berkowitz, S. D., et al. (2018). Rivaroxaban for Stroke Prevention after Embolic Stroke of Undetermined Source. N Engl J Med, 378, 2191–2201. https://doi.org/10.1056/NEJMoa1802686.

    Article  CAS  PubMed  Google Scholar 

  3. Diener, H.-C., Sacco, R. L., Easton, J. D., Granger, C. B., Bernstein, R. A., Uchiyama, S., et al. (2019). Dabigatran for Prevention of Stroke after Embolic Stroke of Undetermined Source. N Engl J Med, 380, 1906–1917. https://doi.org/10.1056/NEJMoa1813959.

    Article  CAS  PubMed  Google Scholar 

  4. Rabinstein, A. A. (2014). Prolonged cardiac monitoring for detection of paroxysmal atrial fibrillation after cerebral ischemia. Stroke, 45, 1208–1214. https://doi.org/10.1161/STROKEAHA.113.003389.

    Article  PubMed  Google Scholar 

  5. Jauch, E. C., Saver, J. L., Adams, H. P., Bruno, A., JJB, C., Demaerschalk, B. M., et al. (2013). Guidelines for the early management of patients with acute ischemic stroke: A guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, 44, 870–947.

    Article  Google Scholar 

  6. Kernan WN, Ovbiagele B, Black HR, Bravata DM, Chimowitz MI, Ezekowitz MD, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: A guideline for healthcare professionals from the American Heart Association/American Stroke Association. 2014.

    Book  Google Scholar 

  7. Sanna, T., Diener, H. C., Passman, R. S., Di Lazzaro, V., Bernstein, R. A., Morillo, C. A., et al. (2014). Cryptogenic stroke and underlying atrial fibrillation. N Engl J Med, 370, 2478–2486. https://doi.org/10.1056/NEJMoa1313600.

    Article  CAS  PubMed  Google Scholar 

  8. Gladstone, D. J., Spring, M., Dorian, P., Panzov, V., Thorpe, K. E., Hall, J., et al. (2014). Atrial fibrillation in patients with cryptogenic stroke. N Engl J Med, 370, 2467–2477. https://doi.org/10.1056/NEJMoa1311376.

    Article  CAS  PubMed  Google Scholar 

  9. Grond, M., Jauss, M., Hamann, G., Stark, E., Veltkamp, R., Nabavi, D., et al. (2013). Improved detection of silent atrial fibrillation using 72-hour Holter ECG in patients with ischemic stroke: a prospective multicenter cohort study. Stroke, 44, 3357–3364. https://doi.org/10.1161/STROKEAHA.113.001884.

    Article  PubMed  Google Scholar 

  10. Hendrikx, T., Hörnsten, R., Rosenqvist, M., & Sandström, H. (2013). Screening for atrial fibrillation with baseline and intermittent ECG recording in an out-of-hospital population. BMC Cardiovasc Disord, 13, 41. https://doi.org/10.1186/1471-2261-13-41.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wachter, R., & Gröschel, K. (2017). Atrial fibrillation in high-risk patients with ischaemic stroke &#x2013; Authors’ reply. Lancet Neurol, 16, 498. https://doi.org/10.1016/S1474-4422(17)30165-5.

    Article  PubMed  Google Scholar 

  12. ER, M. G., Kapral, M. K., Fang, J., Eikelboom, J. W., Conghaile, A. Ó., O’Conghaile, A., et al. (2013). Association of atrial fibrillation with mortality and disability after ischemic stroke. Neurology, 81, 825–832. https://doi.org/10.1212/WNL.0b013e3182a2cc15.

    Article  Google Scholar 

  13. Marini, C., De Santis, F., Sacco, S., Russo, T., Olivieri, L., Totaro, R., et al. (2005). Contribution of atrial fibrillation to incidence and outcome of ischemic stroke: Results from a population-based study. Stroke, 36, 1115–1119.

    Article  Google Scholar 

  14. Knecht, S., Petsch, S., & Studer, B. (2017). Atrial fibrillation in high-risk patients with ischaemic stroke. Lancet Neurol, 16, 498. https://doi.org/10.1016/S1474-4422(17)30172-2.

    Article  PubMed  Google Scholar 

  15. Kirchhof, P., Auricchio, A., Bax, J., Crijns, H., Camm, J., Diener, H. C., et al. (2007). Outcome parameters for trials in atrial fibrillation: recommendations from a consensus conference organized by the German Atrial Fibrillation Competence NETwork and the European Heart Rhythm Association. Europace, 9, 1006–1023. https://doi.org/10.1093/europace/eum191.

    Article  PubMed  Google Scholar 

  16. Khan, M., Miller, D. J., & Schultz, L. R. (2013). Indecision in the clinical practice of anticoagulation for brief atrial arrhythmias after cryptogenic stroke. J Stroke Cerebrovasc Dis, 22, e500–e503. https://doi.org/10.1016/j.jstrokecerebrovasdis.2013.05.019.

    Article  PubMed  Google Scholar 

  17. Jabaudon, D., Sztajzel, J., Sievert, K., Landis, T., & Sztajzel, R. (2004). Usefulness of ambulatory 7-day ECG monitoring for the detection of atrial fibrillation and flutter after acute stroke and transient ischemic attack. Stroke, 35, 1647–1651.

    Article  Google Scholar 

  18. Schaefer, J. R., Leussler, D., Rosin, L., Pittrow, D., & Hepp, T. (2014). Improved detection of paroxysmal atrial fibrillation utilizing a software-assisted electrocardiogram approach. PLoS One, 9.

  19. Schaer, B. A., Zellweger, M. J., Cron, T. A., Kaiser, C. A., & Osswald, S. (2004). Value of Routine Holter Monitoring for the Detection of Paroxysmal Atrial Fibrillation in Patients With Cerebral Ischemic Events. Stroke, 35, 2003–2005. https://doi.org/10.1161/01.STR.0000117568.07678.4B.

    Article  Google Scholar 

  20. Lazzaro, M. A., Krishnan, K., & Prabhakaran, S. (2012). Detection of atrial fibrillation with concurrent Holter monitoring and continuous cardiac telemetry following ischemic stroke and transient ischemic attack. J Stroke Cerebrovasc Dis, 21, 89–93. https://doi.org/10.1016/j.jstrokecerebrovasdis.2010.05.006.

    Article  PubMed  Google Scholar 

  21. Barthélémy, J. C., Féasson-Gérard, S., Garnier, P., Gaspoz, J. M., Da Costa, A., Michel, D., et al. (2003). Automatic cardiac event recorders reveal paroxysmal atrial fibrillation after unexplained strokes or transient ischemic attacks. Ann Noninvasive Electrocardiol, 8, 194–199.

    Article  Google Scholar 

  22. Lévy, S. (2000). Classification system of atrial fibrillation. Curr Opin Cardiol, 15, 54–57 http://www.ncbi.nlm.nih.gov/pubmed/10666661.

    Article  Google Scholar 

  23. Friberg, L., Engdahl, J., Frykman, V., Svennberg, E., Levin, L. A., & Rosenqvist, M. (2013). Population screening of 75- and 76-year-old men and women for silent atrial fibrillation (STROKESTOP). Europace, 15, 135–140. https://doi.org/10.1093/europace/eus217.

    Article  PubMed  Google Scholar 

  24. Glotzer, T. V., Hellkamp, A. S., Zimmerman, J., Sweeney, M. O., Yee, R., Marinchak, R., et al. (2003). Atrial high rate episodes detected by pacemaker diagnostics predict death and stroke: report of the Atrial Diagnostics Ancillary Study of the MOde Selection Trial (MOST). Circulation, 107, 1614–1619. https://doi.org/10.1161/01.CIR.0000057981.70380.45.

    Article  PubMed  Google Scholar 

  25. Sposato, L. A., Cipriano, L. E., Riccio, P. M., Hachinski, V., & Saposnik, G. (2015). Very short paroxysms account for more than half of the cases of atrial fibrillation detected after stroke and TIA: a systematic review and meta-analysis. Int J Stroke, 10, 801–807. https://doi.org/10.1111/ijs.12555.

    Article  PubMed  Google Scholar 

  26. Svennberg, E., Engdahl, J., Al-Khalili, F., Friberg, L., Frykman, V., & Rosenqvist, M. (2015). Mass screening for untreated atrial fibrillation the STROKESTOP study. Circulation, 131, 2176–2184.

    Article  Google Scholar 

  27. Sposato, L. A., Cipriano, L. E., Saposnik, G., Vargas, E. R., Riccio, P. M., & Hachinski, V. (2015). Diagnosis of atrial fibrillation after stroke and transient ischaemic attack: a systematic review and meta-analysis. Lancet Neurol, 14, 377–387. https://doi.org/10.1016/s1474-4422(15)70027-x.

    Article  PubMed  Google Scholar 

  28. Christensen, H., Boysen, G., Christensen, A. F., & Johannesen, H. H. (2005). Insular lesions, ECG abnormalities, and outcome in acute stroke. J Neurol Neurosurg Psychiatry, 76, 269–271. https://doi.org/10.1136/jnnp.2004.037531.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Sposato, L. A., Riccio, P. M., & Hachinski, V. (2014). Poststroke atrial fibrillation: cause or consequence? Critical review of current views. Neurology, 82, 1180–1186. https://doi.org/10.1212/WNL.0000000000000265.

    Article  PubMed  Google Scholar 

  30. Kamel, H., Hegde, M., Johnson, D. R., Gage, B. F., & Johnston, S. C. (2010). Cost-effectiveness of outpatient cardiac monitoring to detect atrial fibrillation after ischemic stroke. Stroke, 41, 1514–1520. https://doi.org/10.1161/STROKEAHA.110.582437.

    Article  PubMed  Google Scholar 

  31. Levin, L. A., Husberg, M., Sobocinski, P. D., Kull, V. F., Friberg, L., Rosenqvist, M., et al. (2015). A cost-effectiveness analysis of screening for silent atrial fibrillation after ischaemic stroke. Europace, 17, 207–214. https://doi.org/10.1093/europace/euu213.

    Article  PubMed  Google Scholar 

  32. Kamel, H., Johnson, D. R., Hegde, M., Go, A. S., Sidney, S., Sorel, M., et al. (2012). Detection of atrial fibrillation after stroke and the risk of recurrent stroke. J Stroke Cerebrovasc Dis, 21, 726–731. https://doi.org/10.1016/j.jstrokecerebrovasdis.2011.03.008.

    Article  PubMed  Google Scholar 

  33. Ng, K. H., Hart, R. G., & Eikelboom, J. W. (2013). Anticoagulation in Patients Aged ≥75 years with Atrial Fibrillation: Role of Novel Oral Anticoagulants. Cardiol Ther, 2, 135–149. https://doi.org/10.1007/s40119-013-0019-y.

    Article  PubMed  PubMed Central  Google Scholar 

  34. van Walraven, C., Hart, R. G., Connolly, S., Austin, P. C., Mant, J., Hobbs, F. D., et al. (2009). Effect of age on stroke prevention therapy in patients with atrial fibrillation: the atrial fibrillation investigators. Stroke, 40, 1410–1416. https://doi.org/10.1161/STROKEAHA.108.526988.

    Article  CAS  PubMed  Google Scholar 

  35. Unrath, M., Kalic, M., & Berger, K. (2013). Who receives rehabilitation after stroke?: Data from the quality assurance project “Stroke Register Northwest Germany”. Dtsch Arztebl Int, 110, 101–107. https://doi.org/10.3238/arztebl.2013.0101.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

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Declaration of interests

S Knecht received honoraria from Bayer. S Petsch reports no disclosures. JM Ul Qamar reports no disclosures. P Kirchhof received support for research work from British Heart Foundation, European Union, German Research Foundation, Fondation Leducq, St Jude, Sanofi, Daiichi Sankyo, Cardiovascular Therapeutics, and Bristol-Myers Squibb/Pfizer. He also received honoraria and/or travel support from European Society of Cardiology, German Cardiac Society (Akademie), AFNET, different universities and academic bodies, Bayer, Boehringer, Bristol-Myers Squibb, Daiichi-Sankyo, Johnson&Johnson, Medtronic, MSD, Pfizer, and Servier. B Studer received research support from the Mauritius Hospital and the Swiss National Science Foundation (PBSKP3 138,598).

Funding

This study was funded by the Mauritius Hospital Meerbusch, a non-profit institution that allocates resources to research in improvements of quality of care. The funder was not involved in the design or conduct of the study or the preparation of this manuscript.

Author information

Authors and Affiliations

  1. Mauritius Hospital, Strümper Straße 111, 40670, Meerbusch, Germany

    Stefan Knecht, Sebastian Petsch & Bettina Studer

  2. Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany

    Stefan Knecht, Sebastian Petsch & Bettina Studer

  3. University of Birmingham, Centre of Cardiovascular Sciences and SWBH NHS trust, Birmingham, UK

    Paulus Kirchhof

  4. Department of Cardiovascular Medicine, University Hospital Münster, Münster, Germany and AFNET, Münster, Germany

    Paulus Kirchhof

Authors
  1. Stefan Knecht
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  2. Sebastian Petsch
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  3. Paulus Kirchhof
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  4. Bettina Studer
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Contributions

SK designed and interpreted the study; SP carried out the data acquisition; PK contributed to the discussion and write-up; BS. analyzed and interpreted the data. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Stefan Knecht.

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This research was approved by the Independent Ethics Committee of the Heinrich Heine University Düsseldorf, Germany (protocol no 4670)

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The authors declare that above mentioned interactions do not compete with the content of the present paper.

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Knecht, S., Petsch, S., Kirchhof, P. et al. Second look Holter ECG in neurorehabilitation. Neurol. Res. Pract. 1, 41 (2019). https://doi.org/10.1186/s42466-019-0046-9

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  • DOI: https://doi.org/10.1186/s42466-019-0046-9

Keywords

Neurological Research and Practice

ISSN: 2524-3489

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