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Mele F, Scopelliti G, Manini A, Ferrari Aggradi C, Baiardo M, Schiavone M, Viecca M, Ianniello A, Bertora P, Forleo GB, Pantoni L. Etiologic reclassification of cryptogenic stroke after implantable cardiac monitoring and computed tomography angiography re-assessment. J Neurol 2023; 270:377-385. [PMID: 36098839 PMCID: PMC9469058 DOI: 10.1007/s00415-022-11370-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/25/2022] [Accepted: 09/04/2022] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Different mechanisms may underlie cryptogenic stroke, including subclinical atrial fibrillation (AF), nonstenotic carotid plaques (NCP), and aortic arch atherosclerosis (AAA). In a cohort of cryptogenic stroke patients, we aimed to: (1) evaluate the prevalence of subclinical AF, NCP, and AAA, and reclassify the etiology accordingly; (2) compare the clinical features of patients with reclassified etiology with those with confirmed cryptogenic stroke. METHODS Data of patients hospitalized for cryptogenic stroke between January 2018 and February 2021 were retrospectively analyzed. Patients were included if they received implantable cardiac monitoring (ICM) to detect subclinical AF. Baseline computed tomography angiography (CTA) was re-evaluated to assess NCP and AAA. Since aortic plaques with ulceration/intraluminal thrombus were considered pathogenetic during the initial workup, only patients with milder AAA were included. Stroke etiology was reclassified as "cardioembolic", "atherosclerotic", or "mixed" based on the detection of AF and NCP/AAA. Patients with "true cryptogenic" stroke (no AF, ipsilateral NCP, or AAA detected) were compared with those with reclassified etiology. RESULTS Among 63 patients included, 21 (33%) were diagnosed with AF (median follow-up time of 15 months), 12 (19%) had ipsilateral NCP, and 6 (10%) had AAA. Stroke etiology was reclassified in 30 patients (48%): cardioembolic in 14 (22%), atherosclerotic in 9 (14%), and mixed in 7 (11%). Patients with true cryptogenic stroke were younger compared to those with reclassified etiology (p = 0.001). DISCUSSION One or more potential covert stroke sources can be recognized in half of the patients with a cryptogenic stroke through long-term cardiac monitoring and focused CTA re-assessment.
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Affiliation(s)
- Francesco Mele
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Giuseppe Scopelliti
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy ,Univ. Lille, Inserm, CHU Lille, U1172, LilNCog, Lille Neuroscience & Cognition, Lille, France
| | - Arianna Manini
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy ,Department of Pathophysiology and Transplantation, “Dino Ferrari” Center, University of Milan, Milan, Italy
| | - Carola Ferrari Aggradi
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
| | - Matteo Baiardo
- Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
| | - Marco Schiavone
- Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Maurizio Viecca
- Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy
| | | | - Pierluigi Bertora
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy ,Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
| | | | - Leonardo Pantoni
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy ,Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157 Milan, Italy
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Sansone VA, Proserpio P, Mauro L, Biost AL, Frezza E, Lanza A, Rogliani P, Pezzuto G, Falcier E, Aggradi CF, Pirola A, Rao F, Roma E, Galluzzi C, Spanetta M, Cattaneo F, Rubino A, Agostoni EC, Amico F, Zanolini A, Izzi F, Greco G, Romigi A, Liguori C, Nobili L, Placidi F, Massa R. Assessment of self-reported and objective daytime sleepiness in adult-onset myotonic dystrophy type 1. J Clin Sleep Med 2021; 17:2383-2391. [PMID: 34170223 DOI: 10.5664/jcsm.9438] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Excessive daytime sleepiness (EDS) in myotonic dystrophy type 1 (DM1) is mostly of central origin but it may coexist with sleep-related breathing disorders. However, there is no consensus on the sleep protocols to be used, assessments vary and only a minority of patients are regularly tested or are on treatment for EDS. Our study presents data on self-reported and objective EDS in adult-onset DM1. METHODS 63 adult-onset DM1 patients were subjected to EDS-sleep assessments (polysomnography, PSG; Multiple Sleep Latency Test, MSLT; Epworth Sleepiness Scale, ESS. Correlation coefficients were computed to assess the relationship between sleep and sleepiness test results, fatigue, quality of life. RESULTS 33% and 48% of patients had EDS based respectively on the ESS and the MSLT with a low concordance between these tests (k = 0.19). Thirteen patients (20%) displayed 2 or more sleep-onset REM periods on MSLT. Patients having EDS by MSLT had a shorter disease duration (p<0.05), higher total sleep time, sleep efficiency and lower WASO (Wake After Sleep Onset) on PSG. Patients with self-reported EDS reported significantly higher fatigue score compared to patients without EDS (p<0.05). No other difference was found in demographic, clinical and respiratory features. CONCLUSIONS EDS test results are contradictory making treatment options difficult. Combining quantitative tests and self-reported scales may facilitate physicians in planning EDS care with patients and families.
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Affiliation(s)
- Valeria A Sansone
- Neurorehabilitation Unit, University of Milan, Milan, Italy.,The NEMO Clinical Center in Milan, Italy
| | - Paola Proserpio
- Sleep Medicine Center, Dept. Neuroscience, Niguarda Hospital, Milan, Italy
| | - Luca Mauro
- The NEMO Clinical Center in Milan, Italy
| | | | - Erica Frezza
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Andrea Lanza
- Sleep Medicine Center, Dept. Neuroscience, Niguarda Hospital, Milan, Italy
| | - Paola Rogliani
- Department of Respiratory Diseases, Tor Vergata University of Rome, Rome, Italy
| | - Gabriella Pezzuto
- Department of Respiratory Diseases, Tor Vergata University of Rome, Rome, Italy
| | | | | | | | | | | | - Claudia Galluzzi
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Matteo Spanetta
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Federica Cattaneo
- Sleep Medicine Center, Dept. Neuroscience, Niguarda Hospital, Milan, Italy
| | - Annalisa Rubino
- Sleep Medicine Center, Dept. Neuroscience, Niguarda Hospital, Milan, Italy
| | | | - Federica Amico
- Sleep Medicine Center, Dept. Neuroscience, Niguarda Hospital, Milan, Italy
| | | | - Francesca Izzi
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Giulia Greco
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Andrea Romigi
- IRCCS Neuromed Istituto Neurologico Mediterraneo, Pozzilli (IS), Rome, Italy
| | - Claudio Liguori
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Lino Nobili
- Child Neuropsychiatry Unit, IRCCS Istituto G. Gaslini, Genoa, Italy.,Department of Neuroscience, DINOGMI, University of Genoa, Genoa, Italy
| | - Fabio Placidi
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
| | - Roberto Massa
- Department of Neurology, Tor Vergata University of Rome, Rome, Italy
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