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Prime Time for Dissecting the Entity of Cryptogenic Stroke

2014; Lippincott Williams & Wilkins; Volume: 45; Issue: 4 Linguagem: Inglês

10.1161/strokeaha.114.004676

ISSN

1524-4628

Autores

Jukka Putaala, Turgut Tatlisumak,

Tópico(s)

Atrial Fibrillation Management and Outcomes

Resumo

HomeStrokeVol. 45, No. 4Prime Time for Dissecting the Entity of Cryptogenic Stroke Free AccessEditorialPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessEditorialPDF/EPUBPrime Time for Dissecting the Entity of Cryptogenic Stroke Jukka Putaala, MD, PhD, MSc and Turgut Tatlisumak, MD, PhD Jukka PutaalaJukka Putaala From the Department of Neurology, Helsinki University Central Hospital, Helsinki, Finland. and Turgut TatlisumakTurgut Tatlisumak From the Department of Neurology, Helsinki University Central Hospital, Helsinki, Finland. Originally published27 Feb 2014https://doi.org/10.1161/STROKEAHA.114.004676Stroke. 2014;45:950–952Other version(s) of this articleYou are viewing the most recent version of this article. Previous versions: January 1, 2014: Previous Version 1 See related article, p 1186.The term cryptogenic ischemic stroke (or stroke of undetermined pathogenesis) encompasses ischemic strokes without specific cause detected after adequate diagnostic workup. Cryptogenic stroke is, thus, a diagnosis done by exclusion. Strokes may remain cryptogenic if diagnostic evaluation is incomplete for one or another reason or in the presence of multiple competitive causes, such as atrial fibrillation (AF) and atherosclerotic stenosis in an ipsilateral relevant artery. Choosing the particular diagnostic investigation should always be balanced between the cost and potential yield, considering patient characteristics and the effect on treatment decisions. The only patients with stroke in whom thorough pathogenic workup may be unnecessary are those whose poor prognosis cannot be improved reasonably by pathogenic diagnosis.A substantial proportion of all strokes end up being cryptogenic. Among the 5017 patients in the German Stroke Data Bank, cryptogenic strokes accounted for 23%.1 Notably, the cryptogenic category is even larger among younger patients reflecting major challenges in defining their pathogenesis and interpreting causally relevant findings. A total of 40% of patients aged <50 years remained without elusive cause for their stroke in a recent large multicenter survey.2 Furthermore, another prospective study with MR-imaged patients aged 2 years (15.0% versus 16.5%).6 About patent foramen ovale, a prevalent feature in both general population and in younger patients with cryptogenic stroke, warfarin was not superior to aspirin,7 and patent foramen ovale closure in unselected patients with unselected device was not beneficial compared with the best medical treatment to reduce the risk of recurrent strokes in the recently completed randomized trials.8Amid these limited data on secondary prevention, clinical and subclinical recurrence risk after cryptogenic stroke remains significant. A South Korean study showed a very high rate (30%) of recurrent stroke after cryptogenic stroke in a relatively short 1-year follow-up.9 Furthermore, another recent study found a 14.5% rate of new silent ischemic MRI lesions at 90-day follow-up although 1.2% had a clinical recurrent stroke during that time period.10 Even the young patients with stroke of undetermined pathogenesis experience recurrent events, with an annual rate of ≈1%.11 These figures suggest an active pathology underlying most cryptogenic strokes and justifies the use of advanced and often expensive diagnostic equipment targeting to improve the secondary prevention of these patients.Development and the use of modern equipment and technology have indeed allowed revealing the most likely cause in strokes formerly deemed cryptogenic in cases where causal relationship has been unclear. For instance, carotid plaques with less than the arbitrary 50% stenosis, as well as intracranial plaques, that may seem harmless may be thromboemboligenic. This plaque vulnerability can be assessed with multicontrast MRI, 3-dimensional, or contrast-enhanced ultrasound and carotid Duplex or transcranial Doppler ultrasound microemboli detection. In the setting of embolic imaging lesion distribution in suspected cryptogenic stroke, a prolonged telemetric or implantable loop recorders may allow recording ECG even up to months or years to detect atrial arrhythmias.In the current issue of this journal, Bang et al12 present a rigorous review on the most recent advances in diagnostic techniques and propose a practical approach to select appropriate tests in the workup of suspected cryptogenic stroke. Their insightful approach starts with analysis of brain MRI diffusion-weighted imaging and fluid-attenuated inversion recovery patterns that guide the selection of advanced vascular and cardiac imaging, prolonged ECG, and additional testing, such as surrogate markers for atrial arrhythmia or screening for cancer.Because a considerable proportion of cryptogenic strokes has an embolic imaging pattern (for instance, in our institution 24% of all ischemic strokes among 541 consecutive patients during a 6-month period were cryptogenic with imaging pattern suggestive of embolism; unpublished observation), it is plausible to hypothesize that much of the diagnostic yield may come from prolonged ECG. Indeed, small pilot studies applying implantable loop recorders detected new paroxysmal AF in as many as one quarter of patients with cryptogenic stroke.13 Furthermore, also other types of supraventricular arrhythmias might be relevant to stroke mechanisms as pointed out by recent observations.14 The soon-to-be released Cryptogenic Stroke and underlying AF results will likely shed light on the prevalence of these electrocardiographic features in a large poststroke population.15Although the current American and European guidelines suggest 24-hour Holter to detect paroxysmal AF,5,16 its detection rate is ≈5% at best and cost-effectiveness questionable (number needed to screen 47, cost per one new diagnosis would be $9400 and cost per decision to initiate oral anticoagulation $17 000).17 Moreover, even serial ECGs may detect AF more efficiently.18 Only 1 randomized study has been completed whether prolonged ECG monitoring changes the decision making on anticoagulant therapy.19 That study found zero rate of new AF. Therefore, the most optimal cost-effective ECG monitoring technology and monitoring duration remain important open questions. Although novel ECG monitoring equipment is certainly not cheap, blood biomarkers, electrophysiological, and cardiac structural, and functional characteristics may be needed to select high-risk patients for such long-term monitoring.Rigid classification systems with arbitrary cut-offs (such as the ≥50% criteria for relevant carotid stenosis) increase the proportion of cryptogenic strokes and may lead to unnecessary overuse of expensive advanced diagnostic testing. The more recent classification systems, such as ASCO (A for atherosclerosis, S for small vessel disease, C for cardiac source, O for other cause)20 and Causative Classification System,21 are able to better perceive the presence of multiple concomitant competing mechanisms and characterize patient phenotype, and thus improve the fidelity for subtype classification when compared with the traditional Trial of Org 10172 in Acute Stroke Treatment (TOAST).22 Development and the use of more advanced classification schemes and algorithms would be essential to improve the subtyping accuracy particularly for genetic and epidemiological studies, as well as for clinical decision making.The approach provided by Bang et al12 neither removes the clinician's pitfalls of delayed workup in case of, for example, dissection with normalized angiographic appearance or a mobile thrombus that has disappeared at the time of diagnostic imaging nor helps proving causality in uncertain conditions, such as patent foramen ovale–related strokes.23 Moreover, devices are unable to detect transient risk factors for arterial thrombosis, such as infections24 or psychosocial stressors25 and their interplay with blood coagulation and hemostasis. The authors provide a largely mechanistic approach for revealing the potentially underlying cause of cryptogenic stroke, but drawing the big picture likely necessitates a far more multidisciplinary perspective.Although the review by Bang et al12 will definitely be helpful for stroke physicians, choosing the approach for advanced pathogenic evaluation in suspected cryptogenic stroke, there are many open questions to be resolved. Cryptogenic stroke is a major health issue and should be among the top research focuses in the field. This research necessitates multidisciplinary approach involving a broad knowledge on not only vascular neurologists and cardiologist but also experts of other fields, such as hematology, genetics, and imaging device engineering. An example of such multidisciplinary attempt is the recently initiated investigator-driven multicenter study, Searching for Explanations for Cryptogenic Stroke in the Young: Revealing the Etiology, Triggers, and Outcome (SECRETO; NCT01934725).DisclosuresNone.FootnotesThe opinions expressed in this article are not necessarily those of the editors or of the American Heart Association.Guest Editor for this article was Markku Kaste, MD, PhD.Correspondence to Jukka Putaala, MD, PhD, MSc, Department of Neurology, Helsinki University Central Hospital, PO Box 340, FI-00029 HUS, Finland. E-mail [email protected]References1. Grau AJ, Weimar C, Buggle F, Heinrich A, Goertler M, Neumaier S, et al. Risk factors, outcome, and treatment in subtypes of ischemic stroke: the German stroke data bank.Stroke. 2001; 32:2559–2566.LinkGoogle Scholar2. Yesilot Barlas N, Putaala J, Waje-Andreassen U, Vassilopoulou S, Nardi K, Odier C, et al. Etiology of first-ever ischaemic stroke in European young adults: the 15 cities young stroke study.Eur J Neurol. 2013; 20:1431–1439.MedlineGoogle Scholar3. Rolfs A, Fazekas F, Grittner U, Dichgans M, Martus P, Holzhausen M, et al; Stroke in Young Fabry Patients (SIFAP) Investigators. Acute cerebrovascular disease in the young: the Stroke in Young Fabry Patients study.Stroke. 2013; 44:340–349.LinkGoogle Scholar4. Furie KL, Kasner SE, Adams RJ, Albers GW, Bush RL, Fagan SC, et al; American Heart Association Stroke Council, Council on Cardiovascular Nursing, Council on Clinical Cardiology, and Interdisciplinary Council on Quality of Care and Outcomes Research. Guidelines for the prevention of stroke in patients with stroke or transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association.Stroke. 2011; 42:227–276.LinkGoogle Scholar5. European Stroke Organisation (ESO) Executive Committee, ESO Writing Committee. Guidelines for management of ischaemic stroke and transient ischaemic attack 2008.Cerebrovasc Dis. 2008; 25:457–507.CrossrefMedlineGoogle Scholar6. Mohr JP, Thompson JL, Lazar RM, Levin B, Sacco RL, Furie KL, et al; Warfarin-Aspirin Recurrent Stroke Study Group. A comparison of warfarin and aspirin for the prevention of recurrent ischemic stroke.N Engl J Med. 2001; 345:1444–1451.CrossrefMedlineGoogle Scholar7. Homma S, Sacco RL, Di Tullio MR, Sciacca RR, Mohr JP; PFO in Cryptogenic Stroke Study (PICSS) Investigators. Effect of medical treatment in stroke patients with patent foramen ovale: patent foramen ovale in Cryptogenic Stroke Study.Circulation. 2002; 105:2625–2631.LinkGoogle Scholar8. Ntaios G, Papavasileiou V, Makaritsis K, Michel P. PFO closure vs. medical therapy in cryptogenic stroke or transient ischemic attack: a systematic review and meta-analysis.Int J Cardiol. 2013; 169:101–105.CrossrefMedlineGoogle Scholar9. Bang OY, Lee PH, Joo SY, Lee JS, Joo IS, Huh K. Frequency and mechanisms of stroke recurrence after cryptogenic stroke.Ann Neurol. 2003; 54:227–234.CrossrefMedlineGoogle Scholar10. Bal S, Patel SK, Almekhlafi M, Modi J, Demchuk AM, Coutts SB. High rate of magnetic resonance imaging stroke recurrence in cryptogenic transient ischemic attack and minor stroke patients.Stroke. 2012; 43:3387–3388.LinkGoogle Scholar11. Putaala J, Haapaniemi E, Metso AJ, Metso TM, Artto V, Kaste M, et al. Recurrent ischemic events in young adults after first-ever ischemic stroke.Ann Neurol. 2010; 68:661–671.CrossrefMedlineGoogle Scholar12. Bang OY, Ovbiagele B, Kim JS. Evaluation of cryptogenic stroke with advanced diagnostic techniques.Stroke. 2014; 45:1186–1194.LinkGoogle Scholar13. Cotter PE, Martin PJ, Ring L, Warburton EA, Belham M, Pugh PJ. Incidence of atrial fibrillation detected by implantable loop recorders in unexplained stroke.Neurology. 2013; 80:1546–1550.CrossrefMedlineGoogle Scholar14. Kamel H, Elkind MS, Bhave PD, Navi BB, Okin PM, Iadecola C, et al. Paroxysmal supraventricular tachycardia and the risk of ischemic stroke.Stroke. 2013; 44:1550–1554.LinkGoogle Scholar15. Sinha AM, Diener HC, Morillo CA, Sanna T, Bernstein RA, Di Lazzaro V, et al. Cryptogenic Stroke and underlying Atrial Fibrillation (CRYSTAL AF): design and rationale.Am Heart J. 2010; 160:36–41.e1.CrossrefMedlineGoogle Scholar16. Jauch EC, Saver JL, Adams HP, Bruno A, Connors JJ, Demaerschalk BM, et al; American Heart Association Stroke Council; Council on Cardiovascular Nursing; Council on Peripheral Vascular Disease; Council on Clinical Cardiology. 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. 2013; 44:870–947.LinkGoogle Scholar17. Schaer BA, Zellweger MJ, Cron TA, Kaiser CA, Osswald S. Value of routine Holter monitoring for the detection of paroxysmal atrial fibrillation in patients with cerebral ischemic events.Stroke. 2004; 35:e68–e70.LinkGoogle Scholar18. Douen AG, Pageau N, Medic S. Serial electrocardiographic assessments significantly improve detection of atrial fibrillation 2.6-fold in patients with acute stroke.Stroke. 2008; 39:480–482.LinkGoogle Scholar19. Kamel H, Navi BB, Elijovich L, Josephson SA, Yee AH, Fung G, et al. Pilot randomized trial of outpatient cardiac monitoring after cryptogenic stroke.Stroke. 2013; 44:528–530.LinkGoogle Scholar20. Amarenco P, Bogousslavsky J, Caplan LR, Donnan GA, Hennerici MG. New approach to stroke subtyping: the A-S-C-O (phenotypic) classification of stroke.Cerebrovasc Dis. 2009; 27:502–508.CrossrefMedlineGoogle Scholar21. Ay H, Benner T, Arsava EM, Furie KL, Singhal AB, Jensen MB, et al. A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System.Stroke. 2007; 38:2979–2984.LinkGoogle Scholar22. Adams HP, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.Stroke. 1993; 24:35–41.LinkGoogle Scholar23. Amarenco P. Underlying pathology of stroke of unknown cause (cryptogenic stroke).Cerebrovasc Dis. 2009; 27(suppl 1):97–103.CrossrefMedlineGoogle Scholar24. Grau AJ, Buggle F, Becher H, Zimmermann E, Spiel M, Fent T, et al. Recent bacterial and viral infection is a risk factor for cerebrovascular ischemia: clinical and biochemical studies.Neurology. 1998; 50:196–203.CrossrefMedlineGoogle Scholar25. Henderson KM, Clark CJ, Lewis TT, Aggarwal NT, Beck T, Guo H, et al. Psychosocial distress and stroke risk in older adults.Stroke. 2013; 44:367–372.LinkGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Mohamed S, Saleh M, ELKhawas H, ElHadidi E, ElSadek A and Soliman N (2021) Right to left shunting detection by contrast-enhanced transcranial color-coded duplex among patients with cryptogenic stroke, The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 10.1186/s41983-021-00273-9, 57:1, Online publication date: 1-Dec-2021. Bykova A, Alifirova V and Brazovskaya N (2019) RISK FACTORS IN PATIENTS WITH ISCHEMIC STROKE ACCORDING TO THE HOSPITAL REGISTRY IN NALCHIK, Ulyanovsk Medico-biological Journal, 10.34014/2227-1848-2019-2-34-41:2, (34-41), Online publication date: 10-Jun-2019. Beheshtian A, Shitole S, Segal A, Leifer D, Tracy R, Rader D, Devereux R and Kizer J (2016) Lipoprotein (a) level, apolipoprotein (a) size, and risk of unexplained ischemic stroke in young and middle-aged adults, Atherosclerosis, 10.1016/j.atherosclerosis.2016.08.013, 253, (47-53), Online publication date: 1-Oct-2016. Boeckh-Behrens T, Kleine J, Zimmer C, Neff F, Scheipl F, Pelisek J, Schirmer L, Nguyen K, Karatas D and Poppert H (2016) Thrombus Histology Suggests Cardioembolic Cause in Cryptogenic Stroke, Stroke, 47:7, (1864-1871), Online publication date: 1-Jul-2016. Kim Y and Roh S (2016) The Mechanism of and Preventive Therapy for Stroke in Patients with Atrial Fibrillation, Journal of Stroke, 10.5853/jos.2016.00234, 18:2, (129-137), Online publication date: 31-May-2016. Akrawinthawong K, Venkatesh Prasad K, Mehdirad A and Ferreira S (2015) Atrial Fibrillation Monitoring in Cryptogenic Stroke: the Gaps Between Evidence and Practice, Current Cardiology Reports, 10.1007/s11886-015-0674-9, 17:12, Online publication date: 1-Dec-2015. Nave A, Lange K, Leonards C, Siegerink B, Doehner W, Landmesser U, Steinhagen-Thiessen E, Endres M and Ebinger M (2015) Lipoprotein (a) as a risk factor for ischemic stroke: A meta-analysis, Atherosclerosis, 10.1016/j.atherosclerosis.2015.08.021, 242:2, (496-503), Online publication date: 1-Oct-2015. Osgood M, Budman E, Carandang R, Goddeau, Jr. R and Henninger N (2015) Prevalence of Pelvic Vein Pathology in Patients with Cryptogenic Stroke and Patent Foramen Ovale Undergoing MRV Pelvis, Cerebrovascular Diseases, 10.1159/000376613, 39:3-4, (216-223), . April 2014Vol 45, Issue 4 Advertisement Article InformationMetrics © 2014 American Heart Association, Inc.https://doi.org/10.1161/STROKEAHA.114.004676PMID: 24578205 Originally publishedFebruary 27, 2014 Keywordsetiologyatrial fibrillationelectrocardiographyPDF download Advertisement SubjectsIschemic Stroke

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