Utilidad del Holter insertable con detección remota en el diagnóstico etiológico del ictus criptogénico: análisis de 73 pacientes

Schnabel, 2019, Circulation, 140, 1834, 10.1161/CIRCULATIONAHA.119.040267 Sanna, 2014, Cryptogenic stroke and underlying atrial fibrillation, N Engl J Med., 370, 2478, 10.1056/NEJMoa1313600 Ntaios, 2015, Undetermined source in the Athens Stroke Registry: An outcome analysis, Stroke., 46, 2087, 10.1161/STROKEAHA.115.009334 Park, 2013, Small deep infarction in patients with atrial fibrillation: Evidence of lacunar pathogenesis, Cerebrovasc Dis., 36, 205, 10.1159/000353736 Kamel, 2015, Electrocardiographic left atrial abnormality and risk of stroke: Northern Manhattan Study, Stroke., 46, 3208, 10.1161/STROKEAHA.115.009989 Goette, 2017, HRA/HRS/APHRS/SOLAECE expert consensus on atrial cardiomyopathies: Definition, characterization, and clinical implication, Heart Rhythm., 14, e3, 10.1016/j.hrthm.2016.05.028 Hart, 2014, Embolic strokes of undetermined source: The case for a new clinical construct, Lancet Neurol, 13, 429, 10.1016/S1474-4422(13)70310-7 Hart, 2018, Rivaroxaban for stroke prevention after embolic stroke of undetermined source, N Engl J Med., 378, 2191, 10.1056/NEJMoa1802686 Diener, 2019, Dabigatran for prevention of stroke after embolic stroke of undetermined source, N Engl J Med., 380, 1906, 10.1056/NEJMoa1813959 Masjuán, 2021, Optimización de la detección de fibrilación auricular subclínica tras un ESUS, Rev Neurol., 73, 26 Chou, 2018, Delayed diagnosis of atrial fibrillation after first-ever stroke increases recurrent stroke risk: A 5year nationwide follow-up study, Intern Med J., 48, 661, 10.1111/imj.13686 Thijs, 2016, Predictors for atrial fibrillation detection after cryptogenic stroke: Results from CRYSTAL AF, Neurology., 86, 261, 10.1212/WNL.0000000000002282 Gladstone, 2015, Atrial premature beats predict atrial fibrillation in cryptogenic stroke: Results from the EMBRACE trial, Stroke., 46, 936, 10.1161/STROKEAHA.115.008714 Arboix, 2017, Bayés syndrome and acute cardioembolic ischemic stroke, World J Clin Cases., 16, 93, 10.12998/wjcc.v5.i3.93 Bahit, 2021, Predictors of atrial fibrillation development in patients with embolic stroke of undetermined source: An analysis of the RE-SPECT ESUS Trial, Circulation., 30, 1738, 10.1161/CIRCULATIONAHA.121.055176 Kwong, 2017, A clinical score for predicting atrial fibrillation in patients with cryptogenic stroke or transient ischemic attack, Cardiology., 138, 133, 10.1159/000476030 Bugnicourt, 2013, Predictors of newly diagnosed atrial fibrillation in cryptogenic stroke: A cohort study, Eur J Neurol., 20, 1352, 10.1111/ene.12017 Erdur, 2019, Clinical significance of acute and chronic ischaemic lesions in multiple cerebral vascular territories, Eur Radiol., 29, 1338, 10.1007/s00330-018-5684-8 Bernstein, 2015, Infarct topography and detection of atrial fibrillation in cryptogenic stroke: Results from CRYSTAL AF, Cerebrovasc Dis., 40, 91, 10.1159/000437018 Favilla, 2015, Predictors of finding occult atrial fibrillation after cryptogenic stroke, Stroke., 46, 1210, 10.1161/STROKEAHA.114.007763 Rodríguez-Yáñez, 2013, High pro-BNP levels predict the occurrence of atrial fibrillation after cryptogenic stroke, Neurology., 81, 444, 10.1212/WNL.0b013e31829d8773 Kneihsl, 2019, Blood biomarkers of heart failure and hypercoagulation to identify atrial fibrillation-related stroke, Stroke, 50, 2223, 10.1161/STROKEAHA.119.025339 Grau-Olivares, 2010, Progressive gray matter atrophy in lacunar patients with vascular mild cognitive impairment, Cerebrovasc Dis., 30, 157, 10.1159/000316059