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Moutzouri E, Glutz M, Abolhassani N, Feller M, Adam L, Gencer B, Del Giovane C, Bétrisey S, Paladini RE, Hennings E, Aeschbacher S, Beer JH, Moschovitis G, Seiffge D, De Marchis GM, Coslovsky M, Reichlin T, Conte G, Sinnecker T, Schwenkglenks M, Bonati LH, Kastner P, Aujesky D, Kühne M, Osswald S, Fischer U, Conen D, Rodondi N. Association of statin use and lipid levels with cerebral microbleeds and intracranial hemorrhage in patients with atrial fibrillation: A prospective cohort study. Int J Stroke 2023; 18:1219-1227. [PMID: 37243540 PMCID: PMC10676039 DOI: 10.1177/17474930231181010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/02/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND An increased risk of intracranial hemorrhage (ICH) associated with statins has been reported, but data on the relationship between statin use and cerebral microbleeds (CMBs) in patients with atrial fibrillation (AF), a population at high bleeding and cardiovascular risk, are lacking. AIMS To explore the association between statin use and blood lipid levels with the prevalence and progression of CMBs in patients with AF with a particular focus on anticoagulated patients. METHODS Data of Swiss-AF, a prospective cohort of patients with established AF, were analyzed. Statin use was assessed during baseline and throughout follow-up. Lipid values were measured at baseline. CMBs were assessed using magnetic resonance imagining (MRI) at baseline and at 2 years follow-up. Imaging data were centrally assessed by blinded investigators. Associations of statin use and low-density lipoprotein (LDL) levels with CMB prevalence at baseline or CMB progression (at least one additional or new CMB on follow-up MRI at 2 years compared with baseline) were assessed using logistic regression models; the association with ICH was assessed using flexible parametric survival models. Models were adjusted for hypertension, smoking, body mass index, diabetes, stroke/transient ischemic attack, coronary heart disease, antiplatelet use, anticoagulant use, and education. RESULTS Of the 1693 patients with CMB data at baseline MRI (mean ± SD age 72.5 ± 8.4 years, 27.6% women, 90.1% on oral anticoagulants), 802 patients (47.4%) were statin users. The multivariable adjusted odds ratio (adjOR) for CMBs prevalence at baseline for statin users was 1.10 (95% CI = 0.83-1.45). AdjOR for 1 unit increase in LDL levels was 0.95 (95% CI = 0.82-1.10). At 2 years, 1188 patients had follow-up MRI. CMBs progression was observed in 44 (8.0%) statin users and 47 (7.4%) non-statin users. Of these patients, 64 (70.3%) developed a single new CMB, 14 (15.4%) developed 2 CMBs, and 13 developed more than 3 CMBs. The multivariable adjOR for statin users was 1.09 (95% CI = 0.66-1.80). There was no association between LDL levels and CMB progression (adjOR 1.02, 95% CI = 0.79-1.32). At follow-up 14 (1.2%) statin users had ICH versus 16 (1.3%) non-users. The age and sex adjusted hazard ratio (adjHR) was 0.75 (95% CI = 0.36-1.55). The results remained robust in sensitivity analyses excluding participants without anticoagulants. CONCLUSIONS In this prospective cohort of patients with AF, a population at increased hemorrhagic risk due to anticoagulation, the use of statins was not associated with an increased risk of CMBs.
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Affiliation(s)
- Elisavet Moutzouri
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Hematology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Matthias Glutz
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Nazanin Abolhassani
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of Epidemiology and Health Systems, Center for Primary Care and Public Health, (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Martin Feller
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Luise Adam
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Baris Gencer
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of Cardiology, HUG, University Hospital Geneva, Geneva, Switzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Sylvain Bétrisey
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Rebecca E Paladini
- Cardiovascular Research Institute Basel, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Elisa Hennings
- Cardiovascular Research Institute Basel, Basel University Hospital, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, Basel University Hospital, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Jürg H Beer
- Department of Medicine, Cantonal Hospital of Baden and Center for Molecular Cardiology, University Hospital of Zurich, Zurich, Switzerland
| | - Giorgio Moschovitis
- Cardiology Division, Regional Hospital of Lugano, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - David Seiffge
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Michael Coslovsky
- Cardiovascular Research Institute Basel, Basel University Hospital, University of Basel, Basel, Switzerland
- Department Clinical Research, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Tobias Reichlin
- Division of Cardiology, Department of Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Giulio Conte
- Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Tim Sinnecker
- Department of Neurology and Stroke Center, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Matthias Schwenkglenks
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- Institute of Pharmaceutical Medicine (ECPM), University of Basel, Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center, Basel University Hospital, University of Basel, Basel, Switzerland
| | | | - Drahomir Aujesky
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Michael Kühne
- Cardiovascular Research Institute Basel, Basel University Hospital, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute Basel, Basel University Hospital, University of Basel, Basel, Switzerland
- Cardiology Division, Department of Medicine, Basel University Hospital, University of Basel, Basel, Switzerland
| | - Urs Fischer
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Neurology and Stroke Center, Basel University Hospital, University of Basel, Basel, Switzerland
| | - David Conen
- Division of Cardiology, Department of Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Del Brutto OH, Recalde BY, Rumbea DA, Mera RM. De novo appearance of cerebral microbleeds in community-dwelling older adults. Neuroimaging and clinical correlates. Neuroradiol J 2023; 36:421-426. [PMID: 36412038 PMCID: PMC10588608 DOI: 10.1177/19714009221141401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND AND PURPOSE Prospective studies on cerebral microbleeds (CMB) have departed from individuals who already have CMB at baseline. Therefore, main outcomes have usually been the composite of new lesions appearing on the follow-up among patients who already had CMB together with those who de novo developed CMB. Using the Atahualpa Project Cohort, we aimed to assess correlates of incident CMB in community-dwelling older adults free of CMB at baseline. METHODS Atahualpa residents aged ≥ 60 years received baseline clinical interviews and a brain MRI. Those who were free of CMB at baseline and received follow-up brain MRI at the end of the study were included. Multivariate logistic and Poisson regression models were fitted to assess the association and the incidence rate ratio (IRR) of incident CMB according to clinical and neuroimaging variables. RESULTS The mean age of 241 study participants was 65.6 ± 6.1 years (57% women). After 6.5 years of follow-up, 25 subjects (10.4%) developed incident CMB. A total of 37 CMB were noticed in these 25 patients. A parsimonious logistic regression model demonstrated an association between the Edmonton Frail Scale (EFS) and incident CMB (p = .043). Multivariate logistic regression models showed an association between WMH progression and incident CMB (p = .011). Using Poisson regression models, the IRR for WMH progression at follow-up was increased in subjects with incident CMB (p = .029). CONCLUSIONS Study results show a significant relationship between the EFS, WMH progression, and incident CMB. This knowledge will allow the implementation of preventive policies to reduce incident CMB and its consequences.
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Affiliation(s)
- Oscar H Del Brutto
- School of Medicine and Research Center, Universidad Espíritu Santo – Ecuador, Samborondón, Ecuador
| | - Bettsy Y Recalde
- School of Medicine and Research Center, Universidad Espíritu Santo – Ecuador, Samborondón, Ecuador
| | - Denisse A Rumbea
- School of Medicine and Research Center, Universidad Espíritu Santo – Ecuador, Samborondón, Ecuador
| | - Robertino M Mera
- Biostatistics/Epidemiology, Freenome, Inc., South San Francisco, CA, USA
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Wagner B, Hert L, Polymeris AA, Schaedelin S, Lieb JM, Seiffge DJ, Traenka C, Thilemann S, Fladt J, Altersberger VL, Zietz A, Dittrich TD, Fisch U, Gensicke H, De Marchis GM, Bonati LH, Lyrer PA, Engelter ST, Peters N. Impact of type of oral anticoagulants in patients with cerebral microbleeds after atrial fibrillation-related ischemic stroke or TIA: Results of the NOACISP-LONGTERM registry. Front Neurol 2022; 13:964723. [PMID: 36203998 PMCID: PMC9531011 DOI: 10.3389/fneur.2022.964723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCerebral microbleeds (CMBs) may have a differential impact on clinical outcome in stroke patients with atrial fibrillation (AF) treated with different types of oral anticoagulation (OAC).MethodsObservational single-center study on AF-stroke-patients treated with OAC. Magnetic-resonance-imaging was performed to assess CMBs. Outcome measures consisted of recurrent ischemic stroke (IS), intracranial hemorrhage (ICH), death, and their combined analysis. Functional disability was assessed by mRS. Using adjusted logistic regression and Cox proportional-hazards models, we assessed the association of the presence of CMBs and OAC type (vitamin K antagonists [VKAs] vs. direct oral anticoagulants [DOACs]) with clinical outcome.ResultsOf 310 AF-stroke patients treated with OAC [DOACs: n = 234 (75%); VKAs: n = 76 (25%)], CMBs were present in 86 (28%) patients; of these, 66 (77%) received DOACs. In both groups, CMBs were associated with an increased risk for the composite outcome: VKAs: HR 3.654 [1.614; 8.277]; p = 0.002; DOACs: HR 2.230 [1.233; 4.034]; p = 0.008. Patients with CMBs had ~50% higher absolute rates of the composite outcome compared to the overall cohort, with a comparable ratio between treatment groups [VKAs 13/20(65%) vs. DOACs 19/66(29%); p < 0.01]. The VKA-group had a 2-fold higher IS [VKAs:4 (20%) vs. DOACs:6 (9%); p = 0.35] and a 10-fold higher ICH rate [VKAs: 3 (15%) vs. DOACs: 1 (1.5%); p = 0.038]. No significant interaction was observed between type of OAC and presence of CMBs. DOAC-patients showed a significantly better functional outcome (OR 0.40 [0.17; 0.94]; p = 0.04).ConclusionsIn AF-stroke patients treated with OAC, the presence of CMBs was associated with an unfavorable composite outcome for both VKAs and DOACs, with a higher risk for recurrent IS than for ICH. Strokes were numerically higher under VKAs and increased in the presence of CMBs.Clinical trial registrationhttp://www.clinicaltrials.gov, Unique identifier: NCT03826927.
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Affiliation(s)
- Benjamin Wagner
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Lisa Hert
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Intensive Care Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Alexandros A. Polymeris
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Johanna M. Lieb
- Department of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David J. Seiffge
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christopher Traenka
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter and Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Sebastian Thilemann
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Joachim Fladt
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Valerian L. Altersberger
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Annaelle Zietz
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tolga D. Dittrich
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Urs Fisch
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Henrik Gensicke
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter and Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Leo H. Bonati
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Philippe A. Lyrer
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefan T. Engelter
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter and Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Nils Peters
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter and Department of Clinical Research, University of Basel, Basel, Switzerland
- Stroke Center, Klinik Hirslanden Zurich, Zurich, Switzerland
- *Correspondence: Nils Peters
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Anselmino M, Scarsoglio S, Ridolfi L, De Ferrari GM, Saglietto A. Insights from computational modeling on the potential hemodynamic effects of sinus rhythm versus atrial fibrillation. Front Cardiovasc Med 2022; 9:844275. [PMID: 36187015 PMCID: PMC9515395 DOI: 10.3389/fcvm.2022.844275] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Atrial fibrillation (AF) is the most common clinical tachyarrhythmia, posing a significant burden to patients, physicians, and healthcare systems worldwide. With the advent of more effective rhythm control strategies, such as AF catheter ablation, an early rhythm control strategy is progressively demonstrating its superiority not only in symptoms control but also in prognostic terms, over a standard strategy (rate control, with rhythm control reserved only to patients with refractory symptoms). This review summarizes the different impacts exerted by AF on heart mechanics and systemic circulation, as well as on cerebral and coronary vascular beds, providing computational modeling-based hemodynamic insights in favor of pursuing sinus rhythm maintenance in AF patients.
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Affiliation(s)
- Matteo Anselmino
- Division of Cardiology, Department of Medical Sciences, “Città della Salute e della Scienza di Torino” Hospital, University of Turin, Turin, Italy
- *Correspondence: Matteo Anselmino,
| | - Stefania Scarsoglio
- Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Luca Ridolfi
- Department of Environmental, Land, and Infrastructure Engineering, Politecnico di Torino, Turin, Italy
| | - Gaetano Maria De Ferrari
- Division of Cardiology, Department of Medical Sciences, “Città della Salute e della Scienza di Torino” Hospital, University of Turin, Turin, Italy
| | - Andrea Saglietto
- Division of Cardiology, Department of Medical Sciences, “Città della Salute e della Scienza di Torino” Hospital, University of Turin, Turin, Italy
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Ipsilateral blooming of microbleeds after Hyperintense Acute Reperfusion Marker sign in an ischemic Stroke patient, a case report. BMC Neurol 2022; 22:142. [PMID: 35421947 PMCID: PMC9009060 DOI: 10.1186/s12883-022-02658-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/29/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Hyperintense Acute Reperfusion Marker (HARM) is a hyperintense subarachnoid signal on FLAIR MRI sequence caused by gadolinium contrast leakage into the subpial space. While, on FLAIR, HARM may mimic subarachnoid hemorrhage, it is differentiated from it on computed tomography (CT) and SWAN MRI sequences. Cerebral microbleeds are black, rounded spots on SWAN caused by blood-products deposition following red blood cell leakage from small cerebral vessels brain. Both microbleeds and HARM carry important prognostic implication as they are associated with blood-brain barrier disruption and an increased risk of intracerebral hemorrhage.
Case presentation
A 79-year-old man presented with aphasia and right hemiparesis due to ischemic stroke with left middle cerebral artery occlusion. Admission NIHSS score was 7, and he was successfully treated by intravenous thrombolysis and mechanical thrombectomy. On day 1, his clinical condition worsened, and he had an urgent gadolinium-enhanced MRI. There was no evidence of early recurrence, nor of hemorrhage on SWAN or on FLAIR. Left middle cerebral artery was permeable. The patient was anticoagulated for newly diagnosed atrial fibrillation, and a second MRI following a generalized tonic-clonic seizure showed multiple left hemispheric diffusion-weighted imaging (DWI) hyperintense spots and a left hemispheric sub-arachnoid hyperintensity on FLAIR, compatible with a subarachnoid hemorrhage. This diagnosis was excluded by SWAN MRI sequence and a normal cerebral CT the same day. The diagnosis of HARM was retained. At day 9, patient’s condition improved, and a control MRI did not show evidence of HARM. However, numerous microbleeds were detected in the left hemisphere only (ipsilateral with HARM and stroke).
Conclusions
This case highlights first of all the importance of differentiating HARM and subarachnoid hemorrhage, especially in an anticoagulated patient with clinical aggravation. Secondly, it is crucial to identify microbleeds and understand their pathophysiology, as they are associated with higher risk of hemorrhage and stroke recurrence in ischemic stroke patients. Finally, the mono-hemispheric appearance of microbleeds in this case suggests for the first time that, in some acute ischemic stroke patients, a relationship between HARM and cerebral microbleeds may exist.
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Corica B, Romiti GF, Raparelli V, Cangemi R, Basili S, Proietti M. Epidemiology of cerebral microbleeds and risk of adverse outcomes in atrial fibrillation: a systematic review and meta-analysis. Europace 2022; 24:1395-1403. [PMID: 35244694 DOI: 10.1093/europace/euac028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/18/2022] [Indexed: 11/12/2022] Open
Abstract
AIMS The aim of this study is to perform a systematic review and meta-analysis on the epidemiology of cerebral microbleeds (CMBs) and the risk of intracranial haemorrhage (ICH) and ischaemic stroke (IS) in patients with atrial fibrillation (AF). METHODS AND RESULTS PubMed and EMBASE databases were systematically searched from inception to 6 March 2021. All studies reporting the prevalence of CMBs and incidence of ICH and IS in AF patients with and without CMBs were included. Meta-analysis was conducted using random-effect models; odds ratios (ORs), 95% confidence intervals (CIs), and prediction intervals (PIs) were calculated for each outcome. Subgroup analyses were performed according to the number and localization of CMBs. A total of 562 studies were retrieved, with 17 studies finally included in the meta-analysis. Prevalence of CMBs in AF population was estimated at 28.3% (95% CI: 23.8-33.4%). Individuals with CMBs showed a higher risk of ICH (OR: 3.04, 95% CI: 1.83-5.06, 95% PI 1.23-7.49) and IS (OR: 1.78, 95% CI: 1.26-2.49, 95% PI 1.10-2.87). Patients with ≥5 CMBs showed a higher risk of ICH. Metaregression showed how higher of prevalence of diabetes mellitus in AF cohort is associated with higher prevalence of CMBs. CONCLUSIONS Cerebral microbleeds are common in patients with AF, found in almost one out of four subjects. Cerebral microbleeds were associated with both haemorrhagic and thromboembolic events in AF patients. Moreover, the risk of ICH increased consistently with the burden of CMBs. Cerebral microbleeds may represent an important overlooked risk factor for both ICH and IS in adults with AF.
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Affiliation(s)
- Bernadette Corica
- Department of Translational and Precision Medicine, Sapienza-University of Rome, Rome, Italy
| | - Giulio Francesco Romiti
- Department of Translational and Precision Medicine, Sapienza-University of Rome, Rome, Italy
| | - Valeria Raparelli
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Roberto Cangemi
- Department of Translational and Precision Medicine, Sapienza-University of Rome, Rome, Italy
| | - Stefania Basili
- Department of Translational and Precision Medicine, Sapienza-University of Rome, Rome, Italy
| | - Marco Proietti
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Via Camaldoli, 64, 20138 Milan, Italy.,Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK
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