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Kern KC, Crossley A, Wu N, Mun KT, Dergalust S, Hinman JD. Suboptimal medication possession ratio is associated with recurrent ischemic stroke in a veteran population. J Stroke Cerebrovasc Dis 2025; 34:108257. [PMID: 39921195 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Revised: 01/31/2025] [Accepted: 02/04/2025] [Indexed: 02/10/2025] Open
Abstract
OBJECTIVES Recurrent stroke results in higher disability and mortality but might be mitigated through interventions that improve medication adherence. The medication possession ratio (MPR) is an objective proxy for adherence that may provide an individualized risk assessment for recurrent stroke. METHODS This is a retrospective, longitudinal cohort study of patients with recent ischemic stroke or TIA referred to a Veterans Affairs vascular neurology outpatient clinic between 2010 and 2016. We calculated average MPR quartile for four medication classes used for secondary stroke prevention by reviewing pharmacy and medical records following an incident cerebral ischemic event. Traditional stroke risk factors were quantified using the Framingham Stroke Risk Profile (FSRP) score. We hypothesized that lower average MPR would relate to higher recurrent stroke risk more than FSRP or stroke etiological classification. RESULTS For 255 patients with stroke or TIA, 57 (22.4 %) patients had recurrent stroke during a median follow-up period of 5.0 years (IQR 2.0). Compared to optimal average MPR, each quartile lower average MPR was associated with higher cumulative incidence of recurrent stroke (subhazard ratio 1.63, 95 %CI: 1.24 to 2.14, p<0.001) while accounting for the competing risk of death and covarying for FSRP. Neither FSRP nor stroke etiology were associated with recurrent stroke. However, higher baseline systolic blood pressure starting at 132 mm Hg was independently associated with stroke recurrence. CONCLUSIONS MPR is an effective proxy measurement to assess risk of recurrent stroke. Systems-based and individualized interventions to improve medication adherence are needed to reduce recurrent stroke rates in VA populations.
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Affiliation(s)
- Kyle C Kern
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States.
| | - Alexander Crossley
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States.
| | - Naomi Wu
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States.
| | - Katherine T Mun
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States.
| | - Sunita Dergalust
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States.
| | - Jason D Hinman
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States.
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2
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Yu CC, Peng YQ, Lin C, Chiang CH, Liu CM, Lin YJ, Lin LY, Lo MT. ECG-based machine learning model for AF identification in patients with first ischemic stroke. Int J Stroke 2025; 20:411-418. [PMID: 39533802 DOI: 10.1177/17474930241302272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
BACKGROUND The recurrence rate of strokes associated with atrial fibrillation (AF) can be substantially reduced through the administration of oral anticoagulants. However, previous studies have not demonstrated a clear benefit from the universal application of oral anticoagulants in patients with embolic stroke of undetermined source. Timely detection of AF remains a challenge in patients with stroke. AIM This study aims to develop a convolutional neural network (CNN) model to accurately identify patients with AF using a 12-lead sinus-rhythm electrocardiogram (ECG) recorded around the time of the first ischemic stroke. In addition, this study also evaluates the model's ability to predict future occurrence of AF. METHODS A CNN model was trained with ECG data from patients at Taipei Veterans General Hospital. External validation was performed on ischemic stroke patients from National Taiwan University Hospital. The model's performance was assessed for detecting AF at the stroke event and predicting future AF occurrences. RESULTS The model demonstrated an area under curve (AUC) of 0.91 for internal validation and 0.69 for external validation in identifying AF at the stroke event, with sensitivity and negative predictive value both achieving 97%. Kaplan-Meier survival analysis of patients without a prior diagnosis of AF revealed a significant increase in future AF incidence among the high-risk group identified by the model (adjusted hazard ratio: 4.06; 95% confidence interval: 2.74-6.00). CONCLUSIONS The CNN model effectively identifies AF in stroke patients using 12-lead ECGs and predicts future AF events, facilitating early anticoagulation therapy and potentially reducing recurrent stroke risk. Further prospective studies are warranted to confirm these findings.
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Affiliation(s)
- Chih-Chieh Yu
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei City
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei City
| | - Yu-Qi Peng
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan
| | - Chen Lin
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan
| | - Chia-Hsin Chiang
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei City
- Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei City
| | - Chih-Min Liu
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei City
- Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei City
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei City
| | - Yenn-Jiang Lin
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei City
- Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei City
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei City
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
| | - Lian-Yu Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei City
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei City
| | - Men-Tzung Lo
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan
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Hwang YS, Kim S, Yim I, Park Y, Kang S, Jo HS. Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data. Int J Med Inform 2025; 195:105754. [PMID: 39755003 DOI: 10.1016/j.ijmedinf.2024.105754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2024] [Revised: 12/03/2024] [Accepted: 12/04/2024] [Indexed: 01/06/2025]
Abstract
BACKGROUND Ischemic stroke affects 15 million people worldwide, causing five million deaths annually. Despite declining mortality rates, stroke incidence and readmission risks remain high, highlighting the need for preventing readmission to improve the quality of life of survivors. This study developed a machine-learning model to predict 90-day stroke readmission using electronic medical records converted to the common data model (CDM) from the Regional Accountable Care Hospital in Gangwon state in South Korea. METHODS We retrospectively analyzed data from 1,136 patients with ischemic stroke admitted between August 2003 and August 2021 after excluding cases with missing blood test values. Demographics, blood test results, treatments, and comorbidities were used as key features. Six machine learning models and three deep learning models were used to predict 90-day readmission using the synthetic minority over-sampling technique to address class imbalance. Models were evaluated using threefold cross-validation, and SHapley Additive exPlanations (SHAP) values were calculated to interpret feature importance. RESULTS Among 1,136 patients, 196 (17.2 %) were readmitted within 90 days. Male patients were significantly more likely to experience readmission (p = 0.02). LightGBM achieved an area under the curve of 0.94, demonstrating that analyzing stroke and stroke-related conditions provides greater predictive accuracy than predicting stroke alone or all-cause readmissions. SHAP analysis highlighted renal and metabolic variables, including creatinine, blood urea nitrogen, calcium, sodium, and potassium, as key predictors of readmission. CONCLUSION Machine-learning models using electronic health record-based CDM data demonstrated strong predictive performance for 90-day stroke readmission. These results support personalized post-discharge management and lay the groundwork for future multicenter studies.
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Affiliation(s)
- Yu Seong Hwang
- Department of Health Policy and Management, School of Medicine, Kangwon National University, 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea
| | - Seongheon Kim
- Department of Neurology, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea
| | - Inhyeok Yim
- Department of Family Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea
| | - Yukyoung Park
- Department of Preventive Medicine, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea
| | - Seonguk Kang
- Department of Convergence Security, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea
| | - Heui Sug Jo
- Department of Health Policy and Management, School of Medicine, Kangwon National University, 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea; Department of Preventive Medicine, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea; Team of Public Medical Policy Development, Gangwon State Research Institute for People's Health, 880 Baksa-ro, Seo-myeon, Chuncheon-si, Gangwon-do 24461, Republic of Korea.
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4
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Kristensen FPB, Svane HML, Laugesen K, Al-Mashhadi SK, Christensen DH, Sørensen HT, Skajaa N. Risk of mortality and recurrence after first-time stroke among patients with type 2 diabetes: A Danish nationwide cohort study. Eur Stroke J 2025; 10:190-197. [PMID: 38877709 PMCID: PMC11569455 DOI: 10.1177/23969873241260956] [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] [Received: 04/09/2024] [Accepted: 05/24/2024] [Indexed: 06/16/2024] Open
Abstract
INTRODUCTION The prognosis for stroke patients with type 2 diabetes mellitus (T2DM) remains poorly understood. We examined the risk of mortality and stroke recurrence in stroke patients with T2DM and stroke patients without diabetes. PATIENTS AND METHODS We conducted a population-based cohort study including all patients diagnosed with a first-time ischemic stroke (n = 131,594) or intracerebral hemorrhage (ICH, n = 15,492) in Denmark, 2005-2021. Patients with T2DM were identified using hospital diagnosis codes and glucose-lowering drug prescriptions. We calculated risks, risk differences, and risk ratios, standardized by age, sex, and calendar year of stroke admission. RESULTS Following ischemic stroke, the 5-year standardized mortality was 46.1% for patients with T2DM and 35.4% for patients without diabetes (standardized risk difference: 10.7% [95% CI 9.9-11.6]; risk ratio: 1.3 [95% CI 1.3-1.3]). The 5-year risk of recurrence following ischemic stroke was 12.7% for patients with T2DM and 11.3% for those without diabetes (risk difference: 1.4% [95% CI 0.9-2.0]; risk ratio: 1.1 [95% CI 1.1-1.2]). Following ICH, the 5-year mortality was 62.8% for patients with T2DM and 53.0% for patients without diabetes (risk difference: 9.8% [95% CI 7.2-12.4)]; risk ratio: 1.2 [95% CI 1.1-1.2]). The 5-year risk of recurrence after ICH was 9.1% for patients with T2DM and 9.7% for patients without diabetes. DISCUSSION AND CONCLUSION Stroke patients with T2DM were at increased risk of mortality. The risk of stroke recurrence was slightly higher for ischemic stroke patients with T2DM than patients without diabetes, while no difference was observed among ICH patients.
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Affiliation(s)
| | | | - Kristina Laugesen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | | | - Diana Hedevang Christensen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Nils Skajaa
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
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5
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Foschi M, D'Anna L, De Matteis E, De Santis F, Romoli M, Tassinari T, Saia V, Cenciarelli S, Bedetti C, Padiglioni C, Censori B, Puglisi V, Vinciguerra L, Guarino M, Barone V, Zedde M, Grisendi I, Diomedi M, Bagnato MR, Petruzzellis M, Mezzapesa DM, Di Viesti P, Inchingolo V, Cappellari M, Zivelonghi C, Candelaresi P, Andreone V, Rinaldi G, Bavaro A, Cavallini A, Moraru S, Piscaglia MG, Terruso V, Mannino M, Pezzini A, Frisullo G, Muscia F, Paciaroni M, Mosconi MG, Zini A, Leone R, Palmieri C, Cupini LM, Marcon M, Tassi R, Sanzaro E, Papiri G, Paci C, Viticchi G, Orsucci D, Falcou A, Beretta S, Tarletti R, Nencini P, Rota E, Sepe FN, Ferrandi D, Caputi L, Volpi G, La Spada S, Beccia M, Rinaldi C, Mastrangelo V, Di Blasio F, Invernizzi P, Pelliccioni G, De Angelis MV, Bonanni L, Ruzza G, Caggia EA, Russo M, Tonon A, Acciarri MC, Anticoli S, Roberti C, Manobianca G, Scaglione G, Pistoia F, Fortini A, De Boni A, Sanna A, Chiti A, Barbarini L, Caggiula M, Masato M, Del Sette M, Passarelli F, Bongioanni MR, De Michele M, Ricci S, Ornello R, Sacco S. Exploring Sex Differences in Outcomes of Dual Antiplatelet Therapy for Patients With Noncardioembolic Mild-to-Moderate Ischemic Stroke or High-Risk Transient Ischemic Attack: A Propensity-Matched Analysis of the READAPT Study Cohort. Stroke 2025; 56:305-317. [PMID: 39648888 DOI: 10.1161/strokeaha.124.049210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 11/03/2024] [Accepted: 11/06/2024] [Indexed: 12/10/2024]
Abstract
BACKGROUND Sex may impact clinical outcomes in patients with stroke treated with dual antiplatelet therapy (DAPT). We aimed to investigate the sex differences in the short-term outcomes of DAPT within a real-world population of patients with noncardioembolic mild-to-moderate ischemic stroke or high-risk transient ischemic attack. METHODS We performed a propensity score-matched analysis from a prospective multicentric cohort study (READAPT [Real-Life Study on Short-Term Dual Antiplatelet Treatment in Patients With Ischemic Stroke or Transient Ischemic Attack]) by including patients with noncardioembolic mild-to-moderate stroke (National Institutes of Health Stroke Scale score of 0-10) or high-risk transient ischemic attack (age, blood pressure, clinical features, duration of transient ischemic attack, presence of diabetes [ABCD2] ≥4) who initiated DAPT within 48 hours of symptom onset. The primary effectiveness outcome was the 90-day risk of new ischemic stroke or other vascular events. The secondary effectiveness outcomes were the 90-day modified Rankin Scale score ordinal shift, vascular and all-cause mortality, and 24-hour early neurological improvement or deterioration. The safety outcomes included the 90-day risk of moderate-to-severe and any bleeding, symptomatic intracranial hemorrhage, and 24-hour hemorrhagic transformation. Outcomes were compared between sexes using Cox and generalized ordinal logistic regression analyses, along with calculating risk differences and ratios. RESULTS From 2278 patients in the READAPT study cohort, we included 1643 mild-to-moderate strokes or high-risk transient ischemic attacks treated with DAPT (mean age, 69.8±12.0 years; 34.3% women). We matched 531 women and men. The 90-day risk of new ischemic stroke or other vascular events was significantly lower among women than men (hazard ratio, 0.53 [95% CI, 0.28-0.99]; P=0.039). There were no significant differences in secondary effectiveness outcomes. The 90-day risk of safety outcomes was extremely low and did not differ between women and men (moderate-to-severe bleedings: 0.4% versus 0.8%; P=0.413; symptomatic intracranial hemorrhage: 0.2% versus 0.4%; P=0.563). Subgroup analysis for primary effectiveness outcome showed a lower 90-day risk of new ischemic stroke or other vascular events among women aged <50 years, baseline National Institutes of Health Stroke Scale score of 0 to 5, prestroke modified Rankin Scale score <2, large artery atherosclerosis cause, and no diabetes. CONCLUSIONS Our findings suggest that women with noncardioembolic mild-to-moderate stroke or high-risk transient ischemic attack treated with DAPT may have lower short-term risk of recurrent ischemic events than men. Further research is needed to understand the mechanisms behind potential sex-based differences in outcomes after DAPT use. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT05476081.
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Affiliation(s)
- Matteo Foschi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy (M.F., E.D.M., F.D.S., F. Pistoia, R.O., S.S.)
| | - Lucio D'Anna
- Department of Brain Sciences, Imperial College London, United Kingdom (L.D.A., E.D.M.)
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, United Kingdom (L.D.A., E.D.M.)
| | - Eleonora De Matteis
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy (M.F., E.D.M., F.D.S., F. Pistoia, R.O., S.S.)
- Department of Brain Sciences, Imperial College London, United Kingdom (L.D.A., E.D.M.)
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, United Kingdom (L.D.A., E.D.M.)
| | - Federico De Santis
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy (M.F., E.D.M., F.D.S., F. Pistoia, R.O., S.S.)
| | - Michele Romoli
- Department of Neuroscience, Stroke Unit, Maurizio Bufalini Hospital, AUSL Romagna, Cesena, Italy (M. Romoli)
| | - Tiziana Tassinari
- Department of Neurology, Santa Corona Hospital, Pietra Ligure, Italy (T.T., V.S.)
| | - Valentina Saia
- Department of Neurology, Santa Corona Hospital, Pietra Ligure, Italy (T.T., V.S.)
| | - Silvia Cenciarelli
- Department of Neurology, Città di Castello Hospital, Italy (S.C., C.B., C. Padiglioni, S.R.)
| | - Chiara Bedetti
- Department of Neurology, Città di Castello Hospital, Italy (S.C., C.B., C. Padiglioni, S.R.)
| | - Chiara Padiglioni
- Department of Neurology, Città di Castello Hospital, Italy (S.C., C.B., C. Padiglioni, S.R.)
| | - Bruno Censori
- Department of Neurology, ASST Cremona Hospital, Italy (B.C., V.P., L.V.)
| | - Valentina Puglisi
- Department of Neurology, ASST Cremona Hospital, Italy (B.C., V.P., L.V.)
| | - Luisa Vinciguerra
- Department of Neurology, ASST Cremona Hospital, Italy (B.C., V.P., L.V.)
| | - Maria Guarino
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Italy (M.G., V.B.)
| | - Valentina Barone
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Italy (M.G., V.B.)
| | - Marialuisa Zedde
- Department of Neurology, AUSL-IRCCS di Reggio Emilia, Italy (M.Z., I.G.)
| | - Ilaria Grisendi
- Department of Neurology, AUSL-IRCCS di Reggio Emilia, Italy (M.Z., I.G.)
| | - Marina Diomedi
- Department of Systems Medicine, Tor Vergata University, Rome, Italy (M.D., M.R. Bagnato)
| | - Maria Rosaria Bagnato
- Department of Systems Medicine, Tor Vergata University, Rome, Italy (M.D., M.R. Bagnato)
| | - Marco Petruzzellis
- Department of Neurology, Stroke Unit, "F. Puca" AOU Consorziale Policlinico, Bari, Italy (M. Petruzzellis, D.M.M.)
| | - Domenico Maria Mezzapesa
- Department of Neurology, Stroke Unit, "F. Puca" AOU Consorziale Policlinico, Bari, Italy (M. Petruzzellis, D.M.M.)
| | - Pietro Di Viesti
- Department of Neurology, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (P.D.V., V.I.)
| | - Vincenzo Inchingolo
- Department of Neurology, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy (P.D.V., V.I.)
| | - Manuel Cappellari
- Department of Neuroscience, Azienda Ospedaliera Universitaria Integrata Verona, Italy (M. Cappellari, C.Z.)
| | - Cecilia Zivelonghi
- Department of Neuroscience, Azienda Ospedaliera Universitaria Integrata Verona, Italy (M. Cappellari, C.Z.)
| | - Paolo Candelaresi
- Department of Neurology, Stroke Unit, AORN Antonio Cardarelli, Naples, Italy (P.C., V.A.)
| | - Vincenzo Andreone
- Department of Neurology, Stroke Unit, AORN Antonio Cardarelli, Naples, Italy (P.C., V.A.)
| | - Giuseppe Rinaldi
- Department of Neurology, Di Venere Hospital, Bari, Italy (G. Rinaldi, A.B.)
| | - Alessandra Bavaro
- Department of Neurology, Di Venere Hospital, Bari, Italy (G. Rinaldi, A.B.)
| | - Anna Cavallini
- Dipartimento Testa Collo, Neurologia d'Urgenza-Stroke Unit, IRCCS Mondino Foundation, Pavia, Italy (A. Cavallini, S.M.)
| | - Stefan Moraru
- Dipartimento Testa Collo, Neurologia d'Urgenza-Stroke Unit, IRCCS Mondino Foundation, Pavia, Italy (A. Cavallini, S.M.)
| | - Maria Grazia Piscaglia
- Department of Neuroscience, Neurology Unit, S.Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy (M.G.P.)
| | - Valeria Terruso
- Department of Neurology, AOOR Villa Sofia-Cervello, Palermo, Italy (V.T., M. Mannino)
| | - Marina Mannino
- Department of Neurology, AOOR Villa Sofia-Cervello, Palermo, Italy (V.T., M. Mannino)
| | - Alessandro Pezzini
- Department of Medicine and Surgery, University of Parma, Italy (A.P.)
- Stroke Care Program, Department of Emergencies, Parma University Hospital, Italy (A.P.)
| | - Giovanni Frisullo
- Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy (G.F.)
| | - Francesco Muscia
- Department of Neurology, ASST-Ovest Milanese, Legnano, Italy (F.M.)
| | - Maurizio Paciaroni
- Department of Internal and Cardiovascular Medicine, Santa Maria della Misericordia Hospital, Perugia, Italy (M. Paciaroni, M.G.M.)
- Unit of Clinical Neurology, Department of Neuroscience and Rehabilitation, University of Ferrara, Italy (M. Paciaroni)
| | - Maria Giulia Mosconi
- Department of Internal and Cardiovascular Medicine, Santa Maria della Misericordia Hospital, Perugia, Italy (M. Paciaroni, M.G.M.)
| | - Andrea Zini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Maggiore Hospital, Italy (A.Z.)
| | - Ruggiero Leone
- Department of Neurology, Stroke Unit, "M. R. Dimiccoli" Hospital, Barletta, Italy (R.L.)
| | - Carmela Palmieri
- Department of Neurology, Stroke Unit, E. Agnelli Hospital, Pinerolo, Italy (C. Palmieri)
| | | | - Michela Marcon
- Department of Neurology, Cazzavillan Hospital, Arzignano, Italy (M. Marcon)
| | - Rossana Tassi
- Dipartimento di Emergenza-Urgenza, Stroke Unit, Azienda Ospedaliera Universitaria Senese, Siena, Italy (R. Tassi)
| | - Enzo Sanzaro
- Department of Neurology, Neurology Unit, Umberto I Hospital, Siracusa, Italy (E.S.)
| | - Giuli Papiri
- Department of Neurology, Stroke Unit, Ospedale "Madonna del Soccorso," San Benedetto del Tronto, Italy (G. Papiri, C. Paci)
| | - Cristina Paci
- Department of Neurology, Stroke Unit, Ospedale "Madonna del Soccorso," San Benedetto del Tronto, Italy (G. Papiri, C. Paci)
| | - Giovanna Viticchi
- Experimental and Clinical Medicine Department, Marche Polytechnic University, Ancona (G. Viticchi)
| | - Daniele Orsucci
- Department of Neurology, Neurology Unit, San Luca Hospital, Lucca and Castelnuovo Garfagnana, Italy (D.O.)
| | - Anne Falcou
- Dipartimento di Emergenza-Urgenza, Stroke Unit, Policlinico Umberto I Hospital, Rome, Italy (A. Falcou)
| | - Simone Beretta
- Department of Neurology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy (S.B.)
| | - Roberto Tarletti
- Dipartimento di Emergenza-Urgenza, Stroke Unit, Azienda Ospedaliero-Universitaria "Maggiore della Carità," Novara, Italy (R. Tarletti)
| | - Patrizia Nencini
- Dipartimento di Emergenza-Urgenza, Stroke Unit, Careggi University Hospital, Florence, Italy (P.N.)
| | - Eugenia Rota
- Department of Neurology, Stroke Unit, San Giacomo Hospital, Novi Ligure, Italy (E.R.)
| | - Federica Nicoletta Sepe
- Dipartimento di Emergenza-Urgenza, Stroke Unit, SS. Biagio e Arrigo, Alessandria, Italy (F.N.S., D.F.)
| | - Delfina Ferrandi
- Dipartimento di Emergenza-Urgenza, Stroke Unit, SS. Biagio e Arrigo, Alessandria, Italy (F.N.S., D.F.)
| | - Luigi Caputi
- Department of Cardiocerebrovascular Diseases, Stroke Unit, ASST Ospedale Maggiore di Crema, Italy (L.C.)
| | - Gino Volpi
- Department of Neurology, Stroke Unit, San Jacopo Hospital, Pistoia, Italy (G. Volpi)
| | - Salvatore La Spada
- Department of Neurology, Stroke Unit, Antonio Perrino Hospital, Brindisi, Italy (S.L.S.)
| | - Mario Beccia
- Department of Neurology, Stroke Unit, Sant'Andrea Hospital, Rome, Italy (M.B.)
| | - Claudia Rinaldi
- Department of Neuroscience, Neurology Unit, "Infermi" Hospital, AUSL Romagna, Rimini, Italy (C. Rinaldi, V.M.)
| | - Vincenzo Mastrangelo
- Department of Neuroscience, Neurology Unit, "Infermi" Hospital, AUSL Romagna, Rimini, Italy (C. Rinaldi, V.M.)
| | - Francesco Di Blasio
- Dipartimento di Emergenza-Urgenza, Stroke Unit, "S.Spirito" Hospital, Pescara, Italy (F.D.B., M.V.D.A.)
| | - Paolo Invernizzi
- Departiment of Neurology, Stroke Unit, Istituto Ospedaliero Fondazione Poliambulanza, Brescia, Italy (P.I.)
| | | | | | - Laura Bonanni
- Dipartimento di Medicina e Scienze dell'Invecchiamento, Università G. d'Annunzio di Chieti-Pescara, Italy (L. Bonanni)
| | - Giampietro Ruzza
- Department of Neurology, Stroke Unit, Civil Hospital, Cittadella, Italy (G. Ruzza)
| | | | - Monia Russo
- Department of Neurology, Stroke Unit, St Misericordia Hospital, Rovigo, Italy (M. Russo)
| | - Agnese Tonon
- Department of Neurology, Stroke Unit, Ospedale Civile Ss. Giovanni e Paolo, Venezia, Italy (A.T.)
| | | | - Sabrina Anticoli
- UOSD Stroke Unit, Azienda Ospedaliera San Camillo, Rome, Italy (S.A.)
| | - Cinzia Roberti
- Department of Neurology, Stroke Unit, San Filippo Neri Hospital, Rome, Italy (C. Roberti)
| | - Giovanni Manobianca
- Department of Neurology, Stroke Unit, General Regional Hospital "F. Miulli," Acquaviva delle Fonti, Italy (G.M., G.S.)
| | - Gaspare Scaglione
- Department of Neurology, Stroke Unit, General Regional Hospital "F. Miulli," Acquaviva delle Fonti, Italy (G.M., G.S.)
| | - Francesca Pistoia
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy (M.F., E.D.M., F.D.S., F. Pistoia, R.O., S.S.)
| | - Alberto Fortini
- Department of Internal Medicine, San Giovanni di Dio Hospital, Florence, Italy (A. Fortini)
| | - Antonella De Boni
- Department of Neuroscience, Stroke Unit, San Bortolo Hospital, Vicenza, Italy (A.D.B.)
| | | | - Alberto Chiti
- Department of Neurology, Neurology Unit, Apuane Hospital, Massa Carrara, Italy (A. Chiti)
| | - Leonardo Barbarini
- Department of Neurology, Stroke Unit, Vito Fazi Hospital, Lecce, Italy (L. Barbarini, M. Caggiula)
| | - Marcella Caggiula
- Department of Neurology, Stroke Unit, Vito Fazi Hospital, Lecce, Italy (L. Barbarini, M. Caggiula)
| | - Maela Masato
- Department of Neurology, Stroke Unit, Mirano Hospital, Italy (M. Masato)
| | - Massimo Del Sette
- Department of Neuroscience, Stroke Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy (M.D.S.)
| | - Francesco Passarelli
- Department of Neurology, Stroke Unit, Fatebenefratelli Hospital, Rome, Italy (F. Passarelli)
| | - Maria Roberta Bongioanni
- Department of Neurology, Stroke Unit, SS Annunziata Hospital, Savigliano, Italy (M.R. Bongioanni)
| | - Manuela De Michele
- Department of Human Neurosciences, Stroke Unit, La Sapienza University, Rome, Italy (M.D.M.)
| | - Stefano Ricci
- Department of Neurology, Città di Castello Hospital, Italy (S.C., C.B., C. Padiglioni, S.R.)
- Coordinatore Comitato Scientifico ISA-AII, Città di Castello, Italy (S.R.)
| | - Raffaele Ornello
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy (M.F., E.D.M., F.D.S., F. Pistoia, R.O., S.S.)
| | - Simona Sacco
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy (M.F., E.D.M., F.D.S., F. Pistoia, R.O., S.S.)
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Môro IO, Marinheiro G, Leite M, Monteiro GDA, Pinheiro AC, Telles JPM. Dual versus single antiplatelet therapy in patients with nonminor ischemic stroke: a meta-analysis. ARQUIVOS DE NEURO-PSIQUIATRIA 2025; 83:1-10. [PMID: 39993443 DOI: 10.1055/s-0045-1802551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/26/2025]
Abstract
BACKGROUND Patients with ischemic stroke present a higher risk of stroke recurrence, neurological deterioration, and death. The benefit of dual antiplatelet therapy (DAPT) over single antiplatelet therapy (SAPT) among patients with minor ischemic stroke is well established; however, robust evidence is lacking for those with nonminor stroke. OBJECTIVE To describe the benefits and risks of DAPT versus SAPT in patients with nonminor ischemic stroke. METHODS We searched the PubMed, Embase, and Cochrane Library databases for articles published from inception to April 2024. Data were collected from randomized clinical trials and observational studies comparing DAPT to SAPT following nonminor ischemic stroke, defined by a score ≥ 4 on the National Institutes of Health Stroke Scale (NIHSS). RESULTS In total, 6 studies were included, comprising 12,480 patients. The NIHSS score at baseline from the selected studies ranged from 4 to 15. There was no significant difference between DAPT and SAPT for recurrent stroke (risk ratio [RR] = 0.91; 95% confidence interval [95%CI] = 0.82-1.01; p = 0.09; I2 = 0%), ischemic stroke (RR = 0.89; 95%CI = 0.80-1.00; p = 0.05; I2 = 0%) or hemorrhagic stroke (RR = 1.23; 95%CI = 0.41-3.99; p = 0.66; I2 = 27%). Major bleeding was not significantly increased in the DAPT group compared with the SAPT group (RR = 0.87; 95%CI = 0.29-2.66; p = 0.81; I2 = 44%). The overall analysis did not show a significant difference in all-cause mortality (RR = 0.72; 95%CI = 0.50-1.02; p = 0.07; I2 = 0%). CONCLUSION There was no difference between DAPT and SAPT regarding recurrent stroke, ischemic stroke, hemorrhagic stroke, major bleeding, or overall mortality.
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Affiliation(s)
- Izabela Orlandi Môro
- Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória, Vitória ES, Brazil
| | | | | | | | - Agostinho C Pinheiro
- Harvard Medical School, Massachusetts General Hospital/Brigham and Women's Hospital, Department of Neurology, Boston MA, United States
- Icahn School of Medicine at Mount Sinai, Elmhurst Hospital Center, Department of Internal Medicine, New York NY, United States
| | - João Paulo Mota Telles
- Universidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, São Paulo SP, Brazil
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Ke L, Zhang H, Long K, Peng Z, Huang Y, Ma X, Wu W. Risk factors and prediction models for recurrent acute ischemic stroke: a retrospective analysis. PeerJ 2024; 12:e18605. [PMID: 39611013 PMCID: PMC11604039 DOI: 10.7717/peerj.18605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 11/07/2024] [Indexed: 11/30/2024] Open
Abstract
Background Ischemic stroke is one of the leading causes of disability and death worldwide, with a high risk of recurrence that severely impacts the quality of life of patients. Therefore, identifying and analyzing the risk factors for recurrent ischemic stroke is crucial for the prevention and management of this disease. Methods A total of 114 cases of recurrent acute ischemic stroke patients admitted from July 2017 to March 2021 were selected as the observation group, and another 409 cases of initial ischemic stroke patients from the same period as the control group. The clinical data of the observation group and the control group were compared to analyze the risk factors associated with the readmission of ischemic stroke. A single-factor analysis (Model 1), Least Absolute Shrinkage and Selection Operator (LASSO) regression, and machine learning methods (Model 2) were used to screen important variables, and a multi-factor COX Proportional Hazards Model regression stroke recurrence risk prediction model was constructed. The predictive performance of the model was evaluated by the consistency index (C-index). Results Multivariate COX regression analysis revealed that history of hypertension (Hazard Ratio [HR] = 2.549; 95% Confidence Interval (CI) [1.503-4.321]; P = 0.001), history of cerebral infarction (HR = 1.709; 95% CI [1.066-2.738]; P = 0.026), cerebral artery stenosis (HR = 0.534; 95% CI [0.306-0.931]; P = 0.027), carotid arteriosclerosis (HR = 1.823; 95% CI [1.137-2.924]; P = 0.013), systolic blood pressure (HR = 0.981; 95% CI [0.971-0.991]; P < 0.0001), red cell distribution width-coefficient of variation (RDW-CV) (HR = 1.251; 95% CI [1.019-1.536]; P = 0.033), mean platelet volume (MPV) (HR = 1.506; 95% CI [1.148-1.976]; P = 0.003), uric acid (UA) (HR = 0.995; 95% CI [0.991-1.000]; P = 0.049) were found significantly associated with acute ischemic stroke. The C-index of the full COX model was 0.777 (0.732~0.821), showing a good discrimination between Model 1 and Model 2. Conclusions History of hypertension, history of cerebral infarction, cerebral artery stenosis, carotid atherosclerosis, systolic blood pressure, UA, RDW-CV, and MPV were identified as risk factors for acute ischemic stroke recurrence. The model can be used to predict the recurrence of acute ischemic stroke.
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Affiliation(s)
- Liuhua Ke
- Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
| | - Hongyu Zhang
- Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
| | - Kang Long
- Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
| | - Zheng Peng
- Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
| | - Yongjun Huang
- Department of Neurology, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
| | - Xingxuan Ma
- Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
| | - Wanjun Wu
- Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China
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Bezuidenhout L, Humphries S, Moulaee Conradsson D. Physical activity and influencing factors in people post stroke or transient ischemic attack across diverse regions in Sweden. Front Neurol 2024; 15:1463162. [PMID: 39539658 PMCID: PMC11557396 DOI: 10.3389/fneur.2024.1463162] [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: 07/11/2024] [Accepted: 10/14/2024] [Indexed: 11/16/2024] Open
Abstract
Background and purpose Physical activity (PA) and sedentary behavior are key targets for secondary stroke prevention, yet their characteristics and contributing factors are not well understood. This study aims to explore PA and sedentary behavior in individuals' post-stroke or transient ischemic attack (TIA) and identify factors linked to low PA (≤5,000 steps/day) and prolonged sedentary time (≥8 h/day). Methods A cross-sectional study comparing sensor-derived (activPAL) PA and sedentary time among community-dwelling individuals post stroke or TIA residing in diverse geographical regions of Sweden. Multiple logistic regression models were performed to determine potential factors associated with low PA and prolonged sedentary time. Results The study included 101 participants post-stroke (n = 68) and TIA (n = 33), with a mean age of 70.5 years (65% female), mostly with no or mild disability (91%), living in metropolitan (69%) and rural (31%) areas of Sweden. Most participants (72%) had ≥ 8 h of sedentary time per day and 38% performed ≤5,000 steps per day. Using a walking aid (OR = 11.43, p = 0.002) was independently associated with low PA, whereas contextual factors; living alone (OR = 3.49, p = 0.029) and living in metropolitan areas (OR = 2.79, p = 0.036), were associated with prolonged sedentary time. Discussion and conclusions In this study encompassing people post stroke or TIA from diverse geographical regions across Sweden, PA was associated with mobility status whereas sedentary behavior was associated with contextual factors. The results also showed a large variation in PA highlighting the need for tailored strategies to promote PA post stroke or TIA.
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Affiliation(s)
- Lucian Bezuidenhout
- Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Division of Physiotherapy, Department of Health and Rehabilitation Sciences, Stellenbosch University, Cape Town, South Africa
| | - Sophia Humphries
- Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - David Moulaee Conradsson
- Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Medical Unit Occupational Therapy & Physiotherapy, Theme Women's Health and Allied Health Professional, Karolinska University Hospital, Stockholm, Sweden
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Malek R, Alasiri S, Wolfe CDA, Douiri A. Major vascular events after first incident stroke: a population-based study. BMJ Neurol Open 2024; 6:e000723. [PMID: 39493674 PMCID: PMC11529573 DOI: 10.1136/bmjno-2024-000723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 09/24/2024] [Indexed: 11/05/2024] Open
Abstract
Background Recent advances in stroke care have led to improvements in survival and rates of stroke recurrence. However, there is a lack of data on trends of major vascular events, and risk factors associated with non-fatal and fatal outcomes. We aim to identify demographical and clinical factors leading to incidence of subsequent major vascular events after the first-ever stroke. Methods 6051 patients' records with first-ever stroke between 1995 and 2018 in South London, UK were analysed. Semicompeting risks models were constructed to estimate factors affecting time to incidence of recurrent stroke, myocardial infarction (MI), mortality and transitions from poststroke recurrence/MI to mortality (indirect mortality). Cumulative incidence functions were plotted for each major vascular event, stratified by stroke subtypes. All models were adjusted for age, sex, socioeconomic status, comorbidities, stroke severity and stroke subtype. Results Five years of cumulative incidences were 9.2% (95% CI (8.4% to 10.0%)) for recurrent stroke, 4.4% (95% CI 3.9% to 5.0%) for MI, and 45% (95% CI 44% to 47%) for mortality. Prior atrial fibrillation was associated with 47% increased risk of mortality (HR=1.47 (95% CI 1.23 to 1.75)) and a previous diagnosis of MI was the strongest risk factor for poststroke MI (HR=9.17 (95% CI 6.28 to 13.39)). Stroke unit was associated with a 40% lower hazard of mortality without having a recurrent stroke/MI (HR=0.60 (95% CI 0.50 to 0.72)) and a 39% lower hazard of indirect mortality (HR=0.57 (95% CI 0.37 to 0.87)). Conclusion Major vascular events are prevalent after stroke, particularly among those with concurrent vascular conditions. The rate of stroke recurrence plateaued in the last decade, yet MI incidence increased. Targeted strategies to control risk factors are required to reduce the incidence of a second vascular event and prevent progression to mortality in these high-risk groups.
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Affiliation(s)
- Rayka Malek
- School of Life Course & Population Sciences, King's College London, London, UK
| | - Salha Alasiri
- School of Life Course & Population Sciences, King's College London, London, UK
| | - Charles D A Wolfe
- School of Life Course & Population Sciences, King's College London, London, UK
| | - Abdel Douiri
- School of Life Course & Population Sciences, King's College London, London, UK
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Bonnesen K, Korsholm K, Andersen A, Pedersen L, Simonsen CZ, Nielsen-Kudsk JE, Schmidt M. Risk of Ischemic Stroke After Patent Foramen Ovale Closure. J Am Coll Cardiol 2024; 84:1424-1433. [PMID: 39357939 DOI: 10.1016/j.jacc.2024.07.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 07/09/2024] [Accepted: 07/16/2024] [Indexed: 10/04/2024]
Abstract
BACKGROUND Transcatheter patent foramen ovale (PFO) closure is the recommended treatment for patients age 18 to 60 years with cryptogenic stroke having a high probability of being PFO-related. Limited data exist on stroke recurrence after PFO closure outside clinical trials. OBJECTIVES The purpose of this study was to examine stroke recurrence after PFO closure in routine clinical practice. METHODS We used nationwide population-based Danish registries to conduct a cohort study of all patients with PFO closure during 2008 to 2021 (n = 1,162) and a birth year and sex-matched comparison cohort from the general population (n = 11,620). We calculated absolute and relative risks of ischemic stroke within 4 years after PFO closure. We used weighted Cox regression to estimate adjusted HRs of the association between PFO closure vs the general population and ischemic stroke. RESULTS The absolute risks of ischemic stroke in patients with PFO closure and in the general population, respectively, were 1.4% (95% CI: 0.8%-2.3%) and 0.1% (95% CI: 0.0%-0.1%) at 1 year, 1.4% (95% CI: 0.8%-2.3%) and 0.2% (95% CI: 0.2%-0.4%) at 2 years, 2.2% (95% CI: 1.3%-3.5%) and 0.4% (95% CI: 0.2%-0.5%) at 3 years, and 2.5% (95% CI: 1.5%-4.0%) and 0.4% (95% CI: 0.3%-0.6%) at 4 years. Thus, the absolute 4-year risk of ischemic stroke was 2.1% (95% CI: 0.9%-3.3%) higher in patients with PFO closure than in the general population, corresponding to an adjusted HR of 6.3 (95% CI: 3.1-12.6). CONCLUSIONS The 4-year risk of ischemic stroke after routine PFO closure for cryptogenic stroke was comparable to that observed in clinical trials, but remained higher than in the general population.
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Affiliation(s)
- Kasper Bonnesen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Kasper Korsholm
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Asger Andersen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Lars Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Claus Ziegler Simonsen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Jens Erik Nielsen-Kudsk
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Morten Schmidt
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Cardiology, Gødstrup Regional Hospital, Aarhus, Denmark
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11
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Sun Y, Xia W, Wei R, Dai Z, Sun X, Zhu J, Song B, Wang H. Quantitative Analysis of White Matter Hyperintensities as a Predictor of 1-Year Risk for Ischemic Stroke Recurrence. Neurol Ther 2024; 13:1467-1482. [PMID: 39136813 PMCID: PMC11393268 DOI: 10.1007/s40120-024-00652-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 07/25/2024] [Indexed: 09/14/2024] Open
Abstract
INTRODUCTION This study evaluates the role of quantitative characteristics of white matter hyperintensities (WMHs) in predicting the 1-year recurrence risk of ischemic stroke. METHODS We conducted a retrospective analysis of 1061 patients with ischemic stroke from January 2018 to April 2021. WMHs were automatically segmented using a cluster-based method to quantify their volume and number of clusters (NoC). Additionally, two radiologists independently rated periventricular and deep WMHs using the Fazekas scale. The cohort was divided into a training set (70%) and a testing set (30%). We employed Cox proportional hazards models to develop predictors based on quantitative WMH characteristics, Fazekas scores, and clinical factors, and compared their performance using the concordance index (C-index). RESULTS A total of 180 quantitative variables related to WMHs were extracted. A higher NoC in deep white matter and brainstem, advanced age (> 90 years old), specific stroke subtypes, and absence of discharge antiplatelets showed stronger associations with the risk of ischemic stroke recurrence within 1 year. The nomogram incorporating quantitative WMHs data showed superior discrimination compared to those based on the Fazekas scale or clinical factors alone, with C-index values of 0.709 versus 0.647 and 0.648, respectively, in the testing set. Notably, a combined model including both WMHs and clinical factors achieved the highest predictive accuracy, with a C-index of 0.735 in the testing set. CONCLUSION Quantitative assessment of WMHs provides a valuable neuro-imaging tool for enhancing the prediction of ischemic stroke recurrence risk.
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Affiliation(s)
- Yi Sun
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Wenping Xia
- Department of Radiology, Ningbo Yinzhou No. 2 Hospital, Ningbo, China
| | - Ran Wei
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Zedong Dai
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Xilin Sun
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Jie Zhu
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Bin Song
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China.
| | - Hao Wang
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China.
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Kijpaisalratana N, Ament Z, Patki A, Bhave VM, Jones AC, Garcia Guarniz AL, Couch CA, Cushman M, Long DL, Irvin MR, Kimberly WT. Acetylglutamine Differentially Associated with First-Time Versus Recurrent Stroke. Transl Stroke Res 2024; 15:941-949. [PMID: 37531033 PMCID: PMC10834852 DOI: 10.1007/s12975-023-01181-1] [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] [Received: 05/09/2023] [Revised: 07/10/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023]
Abstract
Approximately one-quarter of strokes occur in individuals with prior stroke. Despite the advancement in secondary stroke prevention, the long-term risk of recurrent stroke has remained unchanged. The objective of this study was to identify metabolite risk markers that are associated with recurrent stroke. We performed targeted metabolomic profiling of 162 metabolites by liquid chromatography-tandem mass spectrometry in baseline plasma in a stroke case-cohort study nested within the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, an observational cohort study of 30,239 individuals aged 45 and older enrolled in 2003-2007. Weighted Cox proportional hazard models were used to identify metabolites that had a differential effect on first-time versus recurrent stroke using an interaction term between metabolite and prior stroke at baseline (yes or no). The study included 1391 incident stroke cases identified during 7.1 ± 4.5 years of follow-up and 1050 participants in the random cohort sample. Among 162 metabolites, 13 candidates had a metabolite-by-prior stroke interaction at a p-value <0.05, with one metabolite, acetylglutamine, surpassing the Bonferroni adjusted p-value threshold (p for interaction = 5.78 × 10-5). In an adjusted model that included traditional stroke risk factors, acetylglutamine was associated with recurrent stroke (HR = 2.27 per SD increment, 95% CI = 1.60-3.20, p = 3.52 × 10-6) but not with first-time stroke (HR = 0.96 per SD increment, 95% CI = 0.87-1.06, p = 0.44). Acetylglutamine was associated with recurrent stroke but not first-time stroke, independent of traditional stroke risk factors. Future studies are warranted to elucidate the pathogenesis of acetylglutamine and recurrent stroke risk.
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Affiliation(s)
- Naruchorn Kijpaisalratana
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Zsuzsanna Ament
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Amit Patki
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Alana C Jones
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Catharine A Couch
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA
| | - D Leann Long
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - M Ryan Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - W Taylor Kimberly
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Harvard Medical School, Boston, MA, USA.
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Qiao Y, Fayyaz AI, Ding Y, Ji X, Zhao W. Recent advances in the prevention of secondary ischemic stroke: A narrative review. Brain Circ 2024; 10:283-295. [PMID: 40012589 PMCID: PMC11850935 DOI: 10.4103/bc.bc_159_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2024] [Revised: 12/02/2024] [Accepted: 12/05/2024] [Indexed: 02/28/2025] Open
Abstract
Stroke remains a significant contributor to global morbidity and mortality, with acute ischemic stroke comprising the majority of cases. Secondary stroke, the recurrent stroke, is often more severe and linked to worse functional outcomes and increased mortality. The secondary prevention of ischemic stroke is crucial for reducing the risk of recurrent events. Significant advancements have been made in secondary prevention strategies in recent years. These include the refinement of antithrombotic regimens, the use of direct oral anticoagulants in managing atrial fibrillation, and the implementation of more aggressive targets for blood pressure, lipid management, and glucose management. Furthermore, emerging therapeutic approaches, such as remote ischemic conditioning and anti-inflammatory agents such as colchicine, have shown promise in reducing stroke recurrence through nontraditional mechanisms. This review summarizes the latest advancements in the secondary prevention of ischemic stroke over the past 5 years, highlighting the key clinical trials and novel interventions. The optimization of traditional risk factor management and the emergence of novel therapeutic methods have provided more options for clinical practice. Future research should focus on identifying the optimal treatment strategies for specific patient subgroups and the clinical translation and application of new therapeutic methods.
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Affiliation(s)
- Yue Qiao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Aminah I. Fayyaz
- Department of Neurosurgery, Wayne State, University School of Medicine, Detroit, MI, USA
| | - Yuchuan Ding
- Department of Neurosurgery, Wayne State, University School of Medicine, Detroit, MI, USA
| | - Xunming Ji
- Department of Neurology, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Wenbo Zhao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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Park MH, Lee SH, Jung JM. Recurrent Ischemic Stroke and Transient Ischemic Attack: Risk of Single and Multiple Recurrence. J Clin Med 2024; 13:5744. [PMID: 39407804 PMCID: PMC11477265 DOI: 10.3390/jcm13195744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 09/20/2024] [Accepted: 09/25/2024] [Indexed: 10/20/2024] Open
Abstract
Background/Objectives: Efforts have been made toward primary or secondary stroke or transient ischemic attack (TIA) prevention. However, little attention has been paid to recurrent stroke or TIA. This study investigated risk factors for multiple or single recurrent stroke or TIA. Methods: Data from 3646 patients with ischemic stroke or TIA were obtained from the Korea University Ansan Hospital Stroke Center between March 2014 and December 2021, using the prospective institutional database of the Korea University Stroke Registry. The associations between clinical features and recurrent stroke or TIA were assessed using bivariable and multivariable Cox models. Results: Recurrent stroke or TIA was associated with male sex (adjusted hazard ratio (HR) 1.95, 95% confidence interval (CI) 1.42-2.80), hypertension (HR 1.49, 95% CI 1.00-2.23), diabetes mellitus (HR 1.54, 95% CI 1.13-2.13), an etiologic subtype of transient ischemic attack (HR 1.88, 95% CI 1.09-3.16), white matter changes (HR 1.62, 95% CI 1.05-2.38), and cerebral microbleeds (HR 1.79, 95% CI 1.26-2.59). Multiple recurrent stroke or TIA was associated with male sex (HR 3.86, 95% CI 1.94-11.55), diabetes mellitus (HR 2.40, 95% CI 1.31-4.53), and anemia (HR 4,58, 95% CI 2.31-10.44). Conclusions: Given the risk factor profiles for recurrent stroke or TIA, risks differed among patient subgroups and were based on multiple or single recurrences. It may exert an effect as a prognostic indicator in the high risk of recurrences.
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Affiliation(s)
- Moon-Ho Park
- Department of Neurology, Korea University Ansan Hospital, Ansan 15355, Republic of Korea; (S.-H.L.); (J.-M.J.)
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15
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Diener HC, Becher N, Sehner S, Toennis T, Bertaglia E, Blomstrom‐Lundqvist C, Brandes A, Beuger V, Calvert M, Camm AJ, Chlouverakis G, Dan G, Dichtl W, Fierenz A, Goette A, de Groot JR, Hermans A, Lip GYH, Lubinski A, Marijon E, Merkely B, Mont L, Nikorowitsch J, Ozga A, Rajappan K, Sarkozy A, Scherr D, Schnabel RB, Schotten U, Simantirakis E, Vardas P, Wichterle D, Zapf A, Kirchhof P. Anticoagulation in Patients With Device-Detected Atrial Fibrillation With and Without a Prior Stroke or Transient Ischemic Attack: The NOAH-AFNET 6 Trial. J Am Heart Assoc 2024; 13:e036429. [PMID: 39190564 PMCID: PMC11646511 DOI: 10.1161/jaha.124.036429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 05/23/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Short and rare episodes of atrial fibrillation (AF) are commonly detected using implanted devices (device-detected AF) in patients with prior stroke or transient ischemic attack (TIA). The effectiveness and safety of oral anticoagulation in patients with prior stroke or TIA and device-detected AF but with no ECG-documented AF is unclear. METHODS AND RESULTS This prespecified analysis of the NOAH-AFNET 6 (Non-Vitamin K Antagonist Oral Anticoagulants in Patients With Atrial High Rate Episodes) trial with post hoc elements assessed the effect of oral anticoagulation in patients with device-detected AF with and without a prior stroke or TIA in the randomized, double-blind, double-dummy NOAH-AFNET 6 trial. Outcomes were stroke, systemic embolism, and cardiovascular death (primary outcome) and major bleeding and death (safety outcome). A prior stroke or TIA was found in 253 patients with device-detected AF randomized in the NOAH-AFNET 6 (mean age, 78 years; 36.4% women). There was no treatment interaction with prior stroke or TIA for any of the primary and secondary time-to-event outcomes. In patients with a prior stroke or TIA, 14 out of 122 patients experienced a primary outcome event with anticoagulation (5.7% per patient-year). Without anticoagulation, there were 16 out of 131 patients with an event (6.3% per patient-year). The rate of stroke was lower than expected (anticoagulation: 4 out of 122 [1.6% per patient-year]; no anticoagulation: 6 out of 131 [2.3% per patient-year]). Numerically, there were more major bleeding events with anticoagulation in patients with prior stroke or TIA (8 out of 122 patients) than without anticoagulation (2 out of 131 patients). CONCLUSIONS Anticoagulation appears to have ambiguous effects in patients with device-detected AF and a prior stroke or TIA in this hypothesis-generating analysis of the NOAH-AFNET 6 in the absence of ECG-documented AF, partially due to a low rate of stroke without anticoagulation.
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Affiliation(s)
- Hans Christoph Diener
- Department of NeuroepidemiologyInstitute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Duisburg‐EssenEssenGermany
| | - Nina Becher
- Department of CardiologyUniversity Heart & Vascular Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK)Partner Site Hamburg/Kiel/LuebeckHamburgGermany
| | - Susanne Sehner
- Institute of Medical Biometry and EpidemiologyUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Tobias Toennis
- Department of CardiologyUniversity Heart & Vascular Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK)Partner Site Hamburg/Kiel/LuebeckHamburgGermany
| | | | - Carina Blomstrom‐Lundqvist
- Department of Medical ScienceUppsala UniversityUppsalaSweden
- Department of Cardiology, School of Medical Sciences, Faculty of Medicine and HealthÖrebro UniversityÖrebroSweden
| | - Axel Brandes
- Department of CardiologyEsbjerg Hospital, University Hospital of Southern DenmarkEsbjergDenmark
- Atrial Fibrillation Network (AFNET)MuensterGermany
| | | | - Melanie Calvert
- Center for Patient Reported Outcomes ResearchInstitute of Applied Health Research, University of BirminghamBirminghamUnited Kingdom
- NIHR Birmingham Biomedical Research Center and NIHR Applied Research Collaboration West MidlandsUniversity of BirminghamBirminghamUnited Kingdom
| | - A. John Camm
- Cardiovascular and Cell Sciences Research Institute, St. George’sUniversity of LondonLondonUnited Kingdom
| | | | - Gheorghe‐Andrei Dan
- Medicine University “Carol Davila”Colentina University HospitalBucharestRomania
| | - Wolfgang Dichtl
- Department of Internal Medicine III, Cardiology and AngiologyInnsbruck Medical UniversityInnsbruckAustria
| | - Alexander Fierenz
- Institute of Medical Biometry and EpidemiologyUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Andreas Goette
- Atrial Fibrillation Network (AFNET)MuensterGermany
- Department of Cardiology and Intensive Care MedicineSt Vincenz‐Hospital PaderbornPaderbornGermany
- Otto‐von‐Guericke Universität MagdeburgMagdeburgGermany
| | - Joris R. de Groot
- The Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical CentersUniversity of AmsterdamAmsterdamthe Netherlands
| | - Astrid Hermans
- Department of Cardiology and PhysiologyMaastricht UniversityMaastrichtthe Netherlands
| | - Gregory Y. H. Lip
- Liverpool Center for Cardiovascular Science at University of LiverpoolLiverpool John Moores University and Liverpool Heart & Chest HospitalLiverpoolUnited Kingdom
- Danish Center for Health Services Research, Department of Clinical MedicineAalborg UniversityAalborgDenmark
| | - Andrzej Lubinski
- Department of Cardiology and Internal DiseasesMedical University of GdańskGdańskPoland
| | - Eloi Marijon
- Cardiology DivisionEuropean Georges Pompidou HospitalParisFrance
| | - Béla Merkely
- Heart and Vascular CenterSemmelweis UniversityBudapestHungary
| | - Lluís Mont
- Hospital ClínicUniversitat de BarcelonaBarcelonaCataloniaSpain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV)MadridSpain
| | - Julius Nikorowitsch
- Department of CardiologyUniversity Heart & Vascular Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK)Partner Site Hamburg/Kiel/LuebeckHamburgGermany
| | - Ann‐Kathrin Ozga
- Institute of Medical Biometry and EpidemiologyUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Kim Rajappan
- Cardiac DepartmentJohn Radcliffe Hospital, Oxford University Hospitals NHS Foundation TrustOxfordUnited Kingdom
| | - Andrea Sarkozy
- HRMCUniversity Hospital Brussels, VUBBrusselsBelgiumBelgium
| | - Daniel Scherr
- Department of CardiologyMedical University of GrazGrazAustria
| | - Renate B. Schnabel
- Department of CardiologyUniversity Heart & Vascular Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK)Partner Site Hamburg/Kiel/LuebeckHamburgGermany
- Atrial Fibrillation Network (AFNET)MuensterGermany
| | - Ulrich Schotten
- Atrial Fibrillation Network (AFNET)MuensterGermany
- Department of Cardiology and PhysiologyMaastricht UniversityMaastrichtthe Netherlands
| | | | - Panos Vardas
- Department of CardiologyHeraklion University HospitalHeraklionGreece
- Biomedical Research Foundation Academy of Athens (BRFAA)Greece and Hygeia Hospitals GroupAthensGreece
| | - Dan Wichterle
- Department of CardiologyInstitute for Clinical and Experimental MedicinePragueCzechia
| | - Antonia Zapf
- Institute of Medical Biometry and EpidemiologyUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
- Atrial Fibrillation Network (AFNET)MuensterGermany
| | - Paulus Kirchhof
- Department of CardiologyUniversity Heart & Vascular Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK)Partner Site Hamburg/Kiel/LuebeckHamburgGermany
- Atrial Fibrillation Network (AFNET)MuensterGermany
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16
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Kim DY, Park TH, Cho YJ, Park JM, Lee K, Lee M, Lee J, Bae SY, Hong DY, Jung H, Ko E, Guk HS, Kim BJ, Kim JY, Kang J, Han MK, Park SS, Hong KS, Park HK, Lee JY, Lee BC, Yu KH, Oh MS, Kim DE, Gwak DS, Lee SJ, Kim JG, Lee J, Kwon DH, Cha JK, Kim DH, Kim JT, Choi KH, Kim H, Choi JC, Kim JG, Kang CH, Sohn SI, Hong JH, Park H, Lee SH, Kim C, Shin DI, Yum KS, Kang K, Park KY, Jeong HB, Park CY, Lee KJ, Kwon JH, Kim WJ, Lee JS, Bae HJ. Contemporary Statistics of Acute Ischemic Stroke and Transient Ischemic Attack in 2021: Insights From the CRCS-K-NIH Registry. J Korean Med Sci 2024; 39:e278. [PMID: 39228188 PMCID: PMC11372415 DOI: 10.3346/jkms.2024.39.e278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 08/07/2024] [Indexed: 09/05/2024] Open
Abstract
This report presents the latest statistics on the stroke population in South Korea, sourced from the Clinical Research Collaborations for Stroke in Korea-National Institute for Health (CRCS-K-NIH), a comprehensive, nationwide, multicenter stroke registry. The Korean cohort, unlike western populations, shows a male-to-female ratio of 1.5, attributed to lower risk factors in Korean women. The average ages for men and women are 67 and 73 years, respectively. Hypertension is the most common risk factor (67%), consistent with global trends, but there is a higher prevalence of diabetes (35%) and smoking (21%). The prevalence of atrial fibrillation (19%) is lower than in western populations, suggesting effective prevention strategies in the general population. A high incidence of large artery atherosclerosis (38%) is observed, likely due to prevalent intracranial arterial disease in East Asians and advanced imaging techniques. There has been a decrease in intravenous thrombolysis rates, from 12% in 2017-2019 to 10% in 2021, with no improvements in door-to-needle and door-to-puncture times, worsened by the coronavirus disease 2019 pandemic. While the use of aspirin plus clopidogrel for non-cardioembolic stroke and direct oral anticoagulants for atrial fibrillation is well-established, the application of direct oral anticoagulants for non-atrial fibrillation cardioembolic strokes in the acute phase requires further research. The incidence of early neurological deterioration (13%) and the cumulative incidence of recurrent stroke at 3 months (3%) align with global figures. Favorable outcomes at 3 months (63%) are comparable internationally, yet the lack of improvement in dependency at 3 months highlights the need for advancements in acute stroke care.
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Affiliation(s)
- Do Yeon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jong-Moo Park
- Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Sang Yoon Bae
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Da Young Hong
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hannah Jung
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Eunvin Ko
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hyung Seok Guk
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jun Yup Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jihoon Kang
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Moon-Ku Han
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jeong-Yoon Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Dong-Seok Gwak
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University, School of Medicine, Daejeon Eulji Medical Center, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University, School of Medicine, Daejeon Eulji Medical Center, Daejeon, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Doo Hyuk Kwon
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Chul-Hoo Kang
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Hae-Bong Jeong
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Chan-Young Park
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Jee Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
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17
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de Havenon A, Viscoli C, Kleindorfer D, Sucharew H, Delic A, Becker C, Robinson D, Yaghi S, Li V, Lansberg MG, Cramer SC, Mistry EA, Sarpong DF, Kasner SE, Kernan W, Sheth KN. Disability and Recurrent Stroke Among Participants in Stroke Prevention Trials. JAMA Netw Open 2024; 7:e2423677. [PMID: 39028666 PMCID: PMC11259901 DOI: 10.1001/jamanetworkopen.2024.23677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/24/2024] [Indexed: 07/21/2024] Open
Abstract
Importance Stroke secondary prevention trials have disproportionately enrolled participants with mild or no disability. The impact of this bias remains unclear. Objective To investigate the association between poststroke disability and the rate of recurrent stroke during long-term follow up. Design, Setting, and Participants This cohort study is a post hoc analysis of the Prevention Regimen For Effectively Avoiding Second Strokes (PRoFESS) and Insulin Resistance Intervention After Stroke (IRIS) secondary prevention clinical trial datasets. PRoFESS enrolled patients from 2003 to 2008, and IRIS enrolled patients from 2005 to 2015. Data were analyzed from September 23, 2023, to May 16, 2024. Exposure The exposure was poststroke functional status at study baseline, defined as modified Rankin Scale (mRS; range, 0-5; higher score indicates more disability) score of 0 vs 1 to 2 vs 3 or greater. Main Outcomes and Measures The primary outcome was recurrent stroke. The secondary outcome was major cardiovascular events (MACE), defined as recurrent stroke, myocardial infarction, new or worsening heart failure, or vascular death. Results A total of 20 183 PRoFESS participants (mean [SD] age, 66.1 [8.5] years; 12 931 [64.1%] male) and 3265 IRIS participants (mean [SD] age, 62.7 [10.6] years; 2151 [65.9%] male) were included. The median (IQR) follow-up was 2.4 (1.9-3.0) years in PRoFESS and 4.7 (3.2-5.0) years in IRIS. In PRoFESS, the recurrent stroke rate was 7.2%, among patients with an mRS of 0, 8.7% among patients with an mRS of 1 or 2, and 10.6% among patients with an mRS of 3 or greater (χ22 = 27.1; P < .001); in IRIS the recurrent stroke rate was 6.4% among patients with an mRS of 0, 9.0% among patients with an mRS of 1 or 2, and 11.7% among patients with an mRS of 3 or greater (χ22 = 11.1; P < .001). The MACE rate was 10.1% among patients with an mRS of 0, 12.2% among patients with an mRS of 1 or 2, and 17.2% among patients with an mRS of 3 or greater (χ22 = 103.4; P < .001) in PRoFESS and 10.9% among patients with an mRS of 0, 13.3% among patients with an mRS of 1 or 2, and 15.3% among patients with an mRS of 3 or greater (χ22 = 5.8; P = .06) in IRIS. Compared with patients with an mRS of 0, patients with an mRS of 3 or greater had increased hazard for recurrent stroke in PRoFESS (hazard ratio [HR], 1.63; 95% CI, 1.38-1.92; P < .001) and in IRIS (HR, 1.91; 95% CI, 1.28-2.86; P = .002). There was also increased hazard for MACE in PRoFESS (HR, 1.90; 95% CI, 1.66-2.18; P < .001) and in IRIS (HR, 1.45; 95% CI, 1.03-2.03; P = .03). Conclusions and Relevance This cohort study found that higher baseline poststroke disability was associated with increased rates of recurrent stroke and MACE. Including more patients with greater baseline disability in stroke prevention trials may improve the statistical power and generalizability of these studies.
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Affiliation(s)
- Adam de Havenon
- Department of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut
| | - Catherine Viscoli
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | | | - Heidi Sucharew
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Alen Delic
- Department of Neurology, University of Utah, Salt Lake City
| | | | - David Robinson
- Department of Neurology, University of Michigan, Ann Arbor
| | - Shadi Yaghi
- Department of Neurology, Brown University, Providence, Rhode Island
| | - Vivian Li
- Department of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut
| | | | - Steven C. Cramer
- Department of Neurology, University of California and California Rehabilitation Institute, Los Angeles
| | - Eva A. Mistry
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Daniel F. Sarpong
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Scott E. Kasner
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Walter Kernan
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Kevin N. Sheth
- Department of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut
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18
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Ashizawa R, Honda H, Take K, Yoshizawa K, Kameyama Y, Yamashita S, Wakabayashi T, Yoshimoto Y. Post-discharge sedentary behavior and light-intensity physical activity-associated stroke recurrence in patients with minor ischemic stroke: A preliminary retrospective observational study. PHYSIOTHERAPY RESEARCH INTERNATIONAL 2024; 29:e2110. [PMID: 39010688 DOI: 10.1002/pri.2110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/27/2024] [Accepted: 06/24/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND AND PURPOSE Evidence regarding whether reducing sedentary behavior and increasing physical activity levels to prevent stroke recurrence is insufficient. Therefore, this study preliminarily investigated whether post-discharge sedentary behavior and physical activity levels in patients with minor ischemic stroke were associated with stroke recurrence. METHODS This retrospective observational study included 73 patients (aged 72.0 years) with minor ischemic stroke from a previous study. The outcome was recurrent stroke 2 years after stroke onset, assessed using medical records. Exposure factors including sedentary behavior and physical activity levels 6 months post-discharge were measured using accelerometers; patients were classified into the recurrence or non-recurrence groups. Logistic regression analyses were then conducted to determine whether sedentary behavior and physical activity 6 months after discharge were associated with stroke recurrence. RESULTS Six patients experienced stroke recurrence (recurrence rate, 8.2%). The recurrence group showed greater sedentary behavior (recurrence group 68.0%, non-recurrence group 52.0%, p = 0.007) and less light-intensity physical activity (LPA) (recurrence group 21.0%, non-recurrence group 37.0%, p = 0.002) than in the non-recurrence group. Logistic regression analysis showed that sedentary behavior (odds ratio = 1.083, 95% confidence interval = 1.007-1.165, p = 0.032) and LPA (odds ratio = 0.874, 95% confidence interval = 0.785-0.975, p = 0.015) were independent factors for recurrence of stroke. DISCUSSION Post-discharge sedentary behavior and LPA in patients with minor ischemic stroke were associated with stroke recurrence. Results suggest that reducing post-discharge sedentary behavior and increasing LPA may be crucial for reducing the risk of stroke recurrence in patients with minor ischemic stroke.
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Affiliation(s)
- Ryota Ashizawa
- Department of Rehabilitation, Seirei Mikatahara General Hospital, Hamamatsu-shi, Shizuoka, Japan
- Health Promotional Physical Therapy for Stroke Survivors: HEPPS, Strategic Issues Resolution Commission, Japanese Society of Neurological Physical Therapy, Hamamatsu-shi, Shizuoka, Japan
| | - Hiroya Honda
- Division of Rehabilitation Science, Seirei Christopher University Graduate School, Hamamatsu-shi, Shizuoka, Japan
| | - Koki Take
- Visiting Nurse Station Sumiyoshi-daini, Seirei Care Center Sumiyoshi-daini, Hamamatsu-shi, Shizuoka, Japan
| | - Kohei Yoshizawa
- Division of Rehabilitation Science, Seirei Christopher University Graduate School, Hamamatsu-shi, Shizuoka, Japan
| | - Yuto Kameyama
- Division of Rehabilitation Science, Seirei Christopher University Graduate School, Hamamatsu-shi, Shizuoka, Japan
| | - Shota Yamashita
- Division of Rehabilitation Science, Seirei Christopher University Graduate School, Hamamatsu-shi, Shizuoka, Japan
| | - Toshiyuki Wakabayashi
- Division of Rehabilitation Science, Seirei Christopher University Graduate School, Hamamatsu-shi, Shizuoka, Japan
| | - Yoshinobu Yoshimoto
- Division of Rehabilitation Science, Seirei Christopher University Graduate School, Hamamatsu-shi, Shizuoka, Japan
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19
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Ha BJ, Kang SM, Choi BM, Cheong JH, Ryu JI, Won YD, Han MH. Stroke recurrence and osteoporotic conditions in postmenopausal patients with atherosclerotic ischemic stroke. Heliyon 2024; 10:e30196. [PMID: 38720741 PMCID: PMC11076908 DOI: 10.1016/j.heliyon.2024.e30196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024] Open
Abstract
Recurrence after stroke is common, and associated with a high mortality rate. Degradation of the elastic tissue in the arterial wall has been shown to aggravate atherosclerosis in blood vessels. Considering that type 1 collagen is present in both bone and vascular smooth muscle cells, we explored whether osteoporotic conditions affect the likelihood of stroke recurrence in postmenopausal women following atherosclerotic ischemic stroke. To determine actual bone mineral density (BMD), the Hounsfield unit values in the frontal skull were evaluated using brain computed tomography (CT) scans taken at admission. A multivariate Cox regression analysis was also performed to examine if osteoporosis could independently predict stroke recurrence in postmenopausal patients with large artery atherosclerosis (LAA) or small vessel occlusion (SVO) stroke. This study included 2130 consecutive patients (both males and females aged 50 and older) with acute LAA or SVO strokes. After adjusting for all covariates, hypothetical osteoporosis was identified as an independent predictor of stroke recurrence in female patients ≥50 years with acute LAA or SVO stroke (hazard ratio, 1.84; 95 % confidence interval, 1.05 to 3.24; p = 0.034). Our findings showed that osteoporosis could potentially affect the recurrence of ischemic stroke in postmenopausal patients with LAA or SVO stroke.
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Affiliation(s)
| | | | - Bo Mi Choi
- Department of Neurosurgery, Hanyang University Guri Hospital, 153 Gyeongchun-ro, Guri, 471-701, Gyonggi-do, Republic of Korea
| | - Jin Hwan Cheong
- Department of Neurosurgery, Hanyang University Guri Hospital, 153 Gyeongchun-ro, Guri, 471-701, Gyonggi-do, Republic of Korea
| | - Je Il Ryu
- Department of Neurosurgery, Hanyang University Guri Hospital, 153 Gyeongchun-ro, Guri, 471-701, Gyonggi-do, Republic of Korea
| | - Yu Deok Won
- Department of Neurosurgery, Hanyang University Guri Hospital, 153 Gyeongchun-ro, Guri, 471-701, Gyonggi-do, Republic of Korea
| | - Myung-Hoon Han
- Department of Neurosurgery, Hanyang University Guri Hospital, 153 Gyeongchun-ro, Guri, 471-701, Gyonggi-do, Republic of Korea
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20
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Skajaa N, Laugesen K, Lauffenburger JC, Schwamm LH, Sørensen HT, Patorno E. Trends in the Use of Medications for Secondary Ischemic Stroke Prevention in Denmark, 2005-2021. Neurology 2024; 102:e209309. [PMID: 38648572 PMCID: PMC11226314 DOI: 10.1212/wnl.0000000000209309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/29/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Understanding trends in the use of medications for secondary stroke prevention is crucial for identifying areas for improvement in stroke care. We examined the use of lipid-lowering, antihypertensive, glucose-lowering, oral anticoagulant, and antiplatelet medications after ischemic stroke hospitalization, from 2005 to 2021. METHODS Using nationwide registries in Denmark, we identified a cohort of patients discharged from hospital with a first-time or recurrent ischemic stroke (N = 150,744). Stratified by calendar year, we ascertained the 180-day probability of filling a prescription for the abovementioned medications after discharge. We further assessed factors associated with medication use. RESULTS From 2005 to 2021, lipid-lowering medication use increased from 58.3% to 82.0%; atorvastatin use rose from 2.1% to 64.8% and simvastatin use decreased from 55.7% to 8.6%. Antihypertensive medication use remained stable, at approximately 89%, and various antihypertensive classes were used comparably. Glucose-lowering medication use increased from 71.5% in 2005 to 84.1% in 2021, driven primarily by an increase in metformin use (from 28.0% to 59.5%). Use of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors continually increased (from 1.7% to 17.5% and from 0.5% to 17.3%, respectively) between 2015 and 2021. Anticoagulant medication use rose from 45.9% in 2005 to 87.0% in 2021, primarily because of increased use of direct oral anticoagulant medications starting around 2010 and a decline in warfarin use. Antiplatelet use remained consistently high, at approximately 95%. Trends were consistent across subgroups of interest; however, overall medication use was lower in older patients (65 years and older), patients with severe stroke, and patients with neurologic and psychiatric comorbidities. DISCUSSION Despite increasing trends in the use of 3 of 5 medication classes, the overall use of lipid-lowering, glucose-lowering, and oral anticoagulant medications was somewhat lower than expected according to clinical guidelines, particularly among older patients with more severe stroke and other comorbidities. The relatively low use in these subgroups may signify appropriate clinical decision making in consideration of frequent contraindications and reduced life expectancy or highlight potential areas of improvement for the care of patients with recent ischemic stroke.
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Affiliation(s)
- Nils Skajaa
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Kristina Laugesen
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Julie C Lauffenburger
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Lee H Schwamm
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Henrik T Sørensen
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Elisabetta Patorno
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
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21
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Rivier CA, Acosta JN, Leasure AC, Forman R, Sharma R, de Havenon A, Spatz ES, Inzucchi SE, Kernan WN, Falcone GJ, Sheth KN. Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts. J Am Heart Assoc 2024; 13:e033322. [PMID: 38639369 PMCID: PMC11179946 DOI: 10.1161/jaha.123.033322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/12/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND The implementation of preventive therapies among patients with stroke remains inadequately explored, especially when compared with patients with myocardial infarction (MI), despite sharing similar vascular risk profiles. We tested the hypothesis that participants with a history of stroke have a worse cardiovascular prevention profile in comparison to participants with MI. METHODS AND RESULTS In cross-sectional analyses within the UK Biobank and All of Us Research Program, involving 14 760 (9193 strokes, 5567 MIs) and 7315 (2948 strokes, 4367 MIs) participants, respectively, we evaluated cardiovascular prevention profiles assessing low-density lipoprotein (<100 mg/dL), blood pressure (systolic, <140 mm Hg; and diastolic, <90 mm Hg), statin and antiplatelet use, and a cardiovascular prevention score that required meeting at least 3 of these criteria. The results revealed that, within the UK Biobank, patients with stroke had significantly lower odds of meeting all the preventive criteria compared with patients with MI: low-density lipoprotein control (odds ratio [OR], 0.73 [95% CI, 0.68-0.78]; P<0.001), blood pressure control (OR, 0.63 [95% CI, 0.59-0.68]; P<0.001), statin use (OR, 0.45 [95% CI, 0.42-0.48]; P<0.001), antiplatelet therapy use (OR, 0.30 [95% CI, 0.27-0.32]; P<0.001), and cardiovascular prevention score (OR, 0.42 [95% CI, 0.39-0.45]; P<0.001). Similar patterns were observed in the All of Us Research Program, with significant differences across all comparisons (P<0.05), and further analysis suggested that the odds of having a good cardiovascular prevention score were influenced by race and ethnicity as well as neighborhood deprivation levels (interaction P<0.05 in both cases). CONCLUSIONS In 2 independent national cohorts, patients with stroke showed poorer cardiovascular prevention profiles and lower adherence to guideline-directed therapies compared with patients with MI. These findings underscore the need to explore the reasons behind the underuse of secondary prevention in vulnerable stroke survivors.
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Affiliation(s)
- Cyprien A. Rivier
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
| | - Julian N. Acosta
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
| | | | - Rachel Forman
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
| | - Richa Sharma
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
| | - Adam de Havenon
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
| | - Erica S. Spatz
- Section of Cardiovascular MedicineYale School of MedicineNew HavenCT
| | | | - Walter N. Kernan
- Department of Internal MedicineYale School of MedicineNew HavenCT
| | - Guido J. Falcone
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
| | - Kevin N. Sheth
- Department of Neurology, Center for Brain and Mind HealthYale School of MedicineNew HavenCT
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22
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Jiang Y, Cheng S, Shi Y, Xu Z, Wang H, Li Y, Liu Y, Li Z, Jiang Y, Meng X, Cheng S, Li H, Wang C, Wang Y. Subtype-Specific Association of Mitochondrial DNA Copy Number With Poststroke/TIA Outcomes in 10 241 Patients in China. Stroke 2024; 55:1261-1270. [PMID: 38511332 DOI: 10.1161/strokeaha.123.045069] [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: 09/03/2023] [Accepted: 02/12/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Mitochondrial DNA copy number (mtDNA-CN) is associated with the severity and mortality in patients with stroke, but the associations in different stroke subtypes remain unexplored. METHODS We conducted an observational prospective cohort analysis on patients with ischemic stroke or transient ischemic attack enrolled in the Third China National Stroke Registry. We applied logistic models to assess the association of mtDNA-CN with functional outcome (modified Rankin Scale score, 3-6 versus 0-2) and Cox proportional hazard models to assess the association with stroke recurrence (treating mortality as a competing risk) and mortality during a 12-month follow-up, adjusting for sex, age, physical activity, National Institutes of Health Stroke Scale at admission, history of stroke and peripheral artery disease, small artery occlusion, and interleukin-6. Subgroup analyses stratified by age and stroke subtypes were conducted. RESULTS The Third China National Stroke Registry enrolled 15 166 patients, of which 10 241 with whole-genome sequencing data were retained (mean age, 62.2 [SD, 11.2] years; 68.8% men). The associations between mtDNA-CN and poststroke/transient ischemic attack outcomes were specific to patients aged ≤65 years, with lower mtDNA-CN significantly associated with stroke recurrence in 12 months (subdistribution hazard ratio, 1.15 per SD lower mtDNA-CN [95% CI, 1.04-1.27]; P=5.2×10-3) and higher all-cause mortality in 3 months (hazard ratio, 2.19 [95% CI, 1.41-3.39]; P=5.0×10-4). Across subtypes, the associations of mtDNA-CN with stroke recurrence were specific to stroke of undetermined cause (subdistribution hazard ratio, 1.28 [95% CI, 1.11-1.48]; P=6.6×10-4). In particular, lower mtDNA-CN was associated with poorer functional outcomes in stroke of undetermined cause patients diagnosed with embolic stroke of undetermined source (odds ratio, 1.53 [95% CI, 1.20-1.94]; P=5.4×10-4), which remained significant after excluding patients with recurrent stroke (odds ratio, 1.49 [95% CI, 1.14-1.94]; P=3.0×10-3). CONCLUSIONS Lower mtDNA-CN is associated with higher stroke recurrence rate and all-cause mortality, as well as poorer functional outcome at follow-up, among stroke of undetermined cause, embolic stroke of undetermined source, and younger patients.
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Affiliation(s)
- Yi Jiang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Si Cheng
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
- Changping Laboratory, Beijing, China (Si Cheng, Yong Jiang, Y.W.)
- Clinical Center for Precision Medicine in Stroke (Si Cheng, Y.W.), Capital Medical University, Beijing, China
| | - Yanfeng Shi
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Zhe Xu
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Huihui Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Yanran Li
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Yang Liu
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Zixiao Li
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Yong Jiang
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
- Changping Laboratory, Beijing, China (Si Cheng, Yong Jiang, Y.W.)
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Shanshan Cheng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Hao Li
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Yongjun Wang
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
- Changping Laboratory, Beijing, China (Si Cheng, Yong Jiang, Y.W.)
- Clinical Center for Precision Medicine in Stroke (Si Cheng, Y.W.), Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection (Y.W.), Capital Medical University, Beijing, China
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23
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Skajaa N, Farkas DK, Laugesen K, Fuglsang CH, Henderson VW, Plana-Ripoll O, Gaist D, Sørensen HT. Mental Health Conditions in Partners and Adult Children of Stroke Survivors. JAMA Netw Open 2024; 7:e243286. [PMID: 38483386 PMCID: PMC10940969 DOI: 10.1001/jamanetworkopen.2024.3286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/29/2024] [Indexed: 03/17/2024] Open
Abstract
Importance Family caregiving after critical illness has been associated with several adverse health outcomes, including various aspects of mental health, but research focusing specifically on family members of stroke survivors is limited. Objectives To examine the associations of stroke in a partner or parent with the risk of depression, substance use disorders, anxiety disorders, and self-harm or suicide. Design, Setting, and Participants This nationwide, population-based cohort study used data from Danish nationwide administrative and clinical registries (2004-2021). Participants included partners and adult children of survivors of stroke. Data analysis was performed from March to December 2023. Exposure Having a partner or parent who survived stroke. Main Outcomes and Measures The Aalen-Johansen estimator was used to compute propensity score-weighted 3-year absolute risks, risk differences, and risk ratios for depression, substance use disorders, anxiety disorders, and self-harm or suicide among partners or children of survivors of stroke compared with partners or children of survivors of myocardial infarction (MI) and matched individuals from the general population. Results The study included a total of 1 923 732 individuals: 70 917 partners of stroke survivors (median [IQR] age, 68 [59-76] years; 46 369 women [65%]), 70 664 partners of MI survivors (median [IQR] age, 65 [55-73] years; 51 849 women [73%]), 354 570 partners of individuals from the general population (median [IQR] age, 68 [59-76] years; 231 833 women [65%]), 207 386 adult children of stroke survivors (median [IQR] age, 45 [36-52] years; 99 382 women [48%]), 183 309 adult children of MI survivors (median [IQR] age, 42 [33-49] years; 88 078 women [48%]), and 1 036 886 adult children of individuals from the general population (median [IQR] age, 45 [36-52] years; 496 875 women [48%]). Baseline characteristics were well balanced across cohorts after propensity score weighting. Among partners of stroke survivors, the 3-year absolute risk was 1.0% for depression, 0.7% for substance use disorders, 0.3% for anxiety disorders, and 0.04% for self-harm or suicide. Risk ratio point estimates for the assessed outcomes ranged from 1.14 to 1.42 compared with the general population and from 1.04 to 1.09 compared with partners of MI survivors. The elevated risk of depression in partners of stroke survivors was more pronounced after severe or moderate stroke than after mild stroke. Among adult children of stroke survivors, the 3-year absolute risk was 0.6% for depression, 0.6% for substance use disorders, 0.2% for anxiety disorders, and 0.05% for self-harm or suicide. Both absolute risks and risk ratios for adult children of stroke survivors were smaller than those reported in the partner analyses. Conclusions and Relevance In this cohort study of partners and adult children of stroke survivors, risks of several mental health conditions and self-harm or suicide were moderately higher compared with the general population and, to a lesser extent, partners and adult children of MI survivors. These findings highlight the potential consequences of stroke among family members, particularly partners, and its findings may possibly serve as a quantitative foundation for the development of future stroke rehabilitation services.
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Affiliation(s)
- Nils Skajaa
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Dóra Körmendiné Farkas
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Kristina Laugesen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Cecilia Hvitfeldt Fuglsang
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Victor W. Henderson
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology & Population Health, Stanford University, Stanford, California
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, California
| | - Oleguer Plana-Ripoll
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - David Gaist
- Research Unit for Neurology, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
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24
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Nicholls SJ, Nelson AJ, Lincoff AM, Brennan D, Ray KK, Cho L, Menon V, Li N, Bloedon L, Nissen SE. Impact of Bempedoic Acid on Total Cardiovascular Events: A Prespecified Analysis of the CLEAR Outcomes Randomized Clinical Trial. JAMA Cardiol 2024; 9:245-253. [PMID: 38231501 PMCID: PMC10794976 DOI: 10.1001/jamacardio.2023.5155] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/11/2023] [Indexed: 01/18/2024]
Abstract
Importance The ATP citrate lyase (ACL) inhibitor, bempedoic acid, reduces low-density lipoprotein cholesterol (LDL-C) level and major adverse cardiovascular events (MACE) by 13% in patients at high cardiovascular risk with intolerance of statin and high-intensity statin medications. The effects of bempedoic acid on total cardiovascular events remain unknown. Objective To determine the impact of bempedoic acid on the total incidence of MACE. Design, Setting, and Participants Included in this prespecified analysis of the Cholesterol Lowering via Bempedoic Acid, an ACL-Inhibiting Regimen (CLEAR) Outcomes trial were patients with, or at high risk for, cardiovascular disease, with hypercholesterolemia and inability to take guideline-recommended statins. Study data were analyzed from December 2016 to November 2022. Interventions Patients were randomly assigned to treatment with bempedoic acid or placebo daily. Main Outcomes and Measures The primary end point was the time to first event for a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or coronary revascularization (MACE-4). The key secondary end point was time to first event for cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke (MACE-3). This prespecified analysis compared the total number of cardiovascular events in the treatment groups. Results A total of 13 970 patients (mean [SD] age, 65 [9] years; 7230 male [51.8%]) were included in the study. A total of 9764 participants (69.9%) had prior atherosclerotic cardiovascular disease and a baseline LDL-C level of 139 mg/dL; treatment with bempedoic acid resulted in a 21% reduction in LDL-C level and a 22% reduction in high-sensitivity C-reactive protein (hsCRP) level at 6 months. Median (IQR) follow-up was 3.4 (3.1-3.9) years. A total of 1746 positively adjudicated first MACE-4 events and 915 additional MACE events in 612 patients were recorded, with coronary revascularization representing 32.8% (573 of 1746) of first events and 69.4% (635 of 915) of additional events. For the total incidence of cardiovascular events, treatment with bempedoic acid was associated with a reduction in risk of MACE-4 (hazard ratio [HR], 0.80; 95% CI, 0.72-0.89; P <.001), MACE-3 (HR, 0.83; 95% CI, 0.73-0.93; P = .002), myocardial infarction (HR, 0.69; 95% CI, 0.58-0.83; P < .001), and coronary revascularization (HR, 0.78; 95% CI, 0.68-0.89; P <.001), although no statistically significant difference was observed for stroke (HR, 0.80; 95% CI, 0.63-1.03). A lower HR for protection with bempedoic acid was observed with increasing number of MACE events experienced by patients. Conclusion and Relevance Lowering LDL-C level with bempedoic acid reduced the total number of cardiovascular events in patients with high cardiovascular risk, statin therapy intolerance, and elevated LDL-C levels.
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Affiliation(s)
- Stephen J. Nicholls
- The Victorian Heart Institute, Monash University, Melbourne, Victoria, Australia
| | - Adam J. Nelson
- The Victorian Heart Institute, Monash University, Melbourne, Victoria, Australia
| | - A. Michael Lincoff
- Cleveland Clinic Coordinating Center for Clinical Research, Cleveland, Ohio
| | - Danielle Brennan
- Cleveland Clinic Coordinating Center for Clinical Research, Cleveland, Ohio
| | - Kausik K. Ray
- School of Public Health, Imperial College London, London, United Kingdom
| | - Leslie Cho
- Cleveland Clinic Coordinating Center for Clinical Research, Cleveland, Ohio
| | - Venu Menon
- Cleveland Clinic Coordinating Center for Clinical Research, Cleveland, Ohio
| | - Na Li
- Esperion Therapeutics, Ann Arbor, Michigan
| | | | - Steven E. Nissen
- Cleveland Clinic Coordinating Center for Clinical Research, Cleveland, Ohio
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Liu C, Luo L, He X, Wang T, Liu X, Liu Y. Patient Readmission for Ischemic Stroke: Risk Factors and Impact on Mortality. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2024; 61:469580241241271. [PMID: 38529892 PMCID: PMC10966977 DOI: 10.1177/00469580241241271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 02/09/2024] [Accepted: 03/04/2024] [Indexed: 03/27/2024]
Abstract
Patient readmission for ischemic stroke significantly strains the healthcare and medical insurance systems. Current understanding of the risk factors associated with these readmissions, as well as their subsequent impact on mortality within China, remains insufficient. This is particularly evident in the context of comprehensive, contemporary population studies. This 4-year retrospective cohort study included 125 397 hospital admissions for ischemic stroke from 838 hospitals located in 22 regions (13 urban and 9 rural) of a major city in western China, between January 1, 2015 and December 31, 2018. The Chi-square tests were used in univariate analysis. Accounting for intra-subject correlations of patients' readmissions, accelerated failure time (AFT) shared frailty models were used to examine readmission events and pure AFT models for mortality. Risk factors for patient readmission after ischemic stroke include frequent admission history, male gender, employee's insurance, advanced age, residence in urban areas, index hospitalization in low-level hospitals, extended length of stay (LOS) during index hospitalization, specific comorbidities and subtypes of ischemic stroke. Furthermore, our findings indicated that an additional admission for ischemic stroke increased patient mortality by 16.4% (P < .001). Stroke readmission contributed to an increased risk of hospital mortality. Policymakers can establish more effective and targeted policies to reduce readmissions for stroke by controlling these risk factors.
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Affiliation(s)
- Chuang Liu
- Chengdu Vocational & Technical College of Industry, Chengdu, Sichuan, China
- Business School, Sichuan University, Chengdu, Sichuan, China
| | - Li Luo
- Business School, Sichuan University, Chengdu, Sichuan, China
| | - Xiaozhou He
- Business School, Sichuan University, Chengdu, Sichuan, China
| | - Tao Wang
- Business School, Sichuan University, Chengdu, Sichuan, China
| | - Xiaofei Liu
- Business School, Sichuan University, Chengdu, Sichuan, China
| | - Yiyou Liu
- Sichuan Nursing Vocational College, Chengdu, Sichuan, China
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Pizov NA, Bakucheva MV, Rechkina OP. [Features of primary and recurrent ischemic stroke in men aged 18-50 years]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:65-74. [PMID: 39831365 DOI: 10.17116/jnevro202412412265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
OBJECTIVE To evaluate the features of primary and recurrent stroke in men aged 18-50 years with atherothrombotic, lacunar, and cardioembolic subtypes. MATERIAL AND METHODS A total of 125 men with primary and recurrent stroke were included in the study. The main vascular risk factors and lifestyle-related risk factors were assessed. Neurological, neuroimaging, ultrasound and laboratory examinations were performed. Hemostasis parameters, lipid metabolism and endothelial function parameters were studied. RESULTS Among 125 men with ischemic stroke with a median age of 43 years, 104 (83.2%) patients had a primary stroke and 21 (16.8%) patients had a recurrent stroke. Recurrent stroke occurred more frequently in patients with the cardioembolic subtype (26.3%) and with almost equal frequency in patients with the atherothrombotic (13.3%) and lacunar (17.4%) subtypes. In the group as a whole, patients with primary and recurrent strokes did not differ in age (43.1±5.5 and 43.7±4.3 years, respectively). In a comparative analysis of patients with primary and recurrent stroke with different subtypes of stroke, significant differences in the main risk factors, indicators of lipid metabolism, hemostasis and endothelial function were obtained. CONCLUSION The study in men, aged 18-50 years, with atherothrombotic, lacunar and cardioembolic subtypes revealed the features of risk factors, indicators of hemostasis system, lipid metabolism and endothelial function in primary and recurrent stroke.
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Affiliation(s)
- N A Pizov
- Clinical Hospital No. 2, Yaroslavl, Russia
| | | | - O P Rechkina
- Clinical and Diagnostic Center «Medinkom Lab», Yaroslavl, Russia
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Suo Y, Jing J, Meng X, Li Z, Pan Y, Yan H, Jiang Y, Liu L, Zhao X, Wang Y, Li H, Wang Y. Intracranial arterial stenosis and recurrence in stroke patients with different risk stratifications by Essen stroke risk score. Neurol Res 2023; 45:1069-1078. [PMID: 37724803 DOI: 10.1080/01616412.2023.2257415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 07/29/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVES We sought to investigate whether the prognostic value of intracranial arterial stenosis (ICAS) is consistent across different risk stratifications using the Essen Stroke Risk score (ESRS). METHODS We derived data from the Clopidogrel in High-Risk Patients with Acute Nondisabling Cerebrovascular Events trial. Patients without complete baseline brain imaging data were excluded. Participants were categorized into different risk groups based on ESRS (low risk, 0-2, and high risk ≥ 3). The main outcome was stroke recurrence within 3 and 12 months. Hazard ratios (HRs) and 95% confidence intervals (95%CIs) of ICAS, and other factors associated with stroke recurrence within 3 and 12 months were estimated using the Cox regression method. RESULTS During the 3-month follow-up, 54 patients (7.9%) had recurrent stroke in the low-risk group, and 39 patients (9.6%) had recurrent stroke in the high-risk group. ICAS was associated with a higher risk of stroke within 3 months (HR = 2.761; 95%CI = 1.538-4.957; P < 0.001) in the low-risk group, but not in the high-risk group (HR = 1.501; 95%CI = 0.701-3.213; P = 0.296). ICAS was independently associated with higher recurrent risk in the low-risk group (HR = 2.540; 95%CI = 1.472-4.381; P < 0.001), but not in the high-risk group (HR = 1.951; 95%CI = 0.977-3.893; P = 0.058) within 12 months. CONCLUSION ICAS was an independent predictor of both 3- and 12-month stroke recurrence in low-risk but not high-risk patients with minor ischemic stroke or transient ischemic attack according to ESRS stratification.
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Affiliation(s)
- Yue Suo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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Bach F, Skajaa N, Esen BÖ, Fuglsang CH, Horváth-Puhó E, Sørensen HT, Adelborg K. High-intensity versus moderate-intensity statin treatment for patients with ischemic stroke: Nationwide cohort study. Eur Stroke J 2023; 8:1041-1052. [PMID: 37555324 PMCID: PMC10683733 DOI: 10.1177/23969873231193288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/18/2023] [Indexed: 08/10/2023] Open
Abstract
PURPOSE Guidelines recommend high-intensity statin treatment after ischemic stroke, but evidence is sparse on the effectiveness and safety of different statin treatment intensities. We examined effectiveness and safety outcomes among patients initiating high-intensity versus moderate-intensity statins after ischemic stroke. METHODS In this population-based new-user active-comparator cohort study, we used the Danish Stroke Registry, covering all Danish hospitals, to identify patients with a first-time ischemic stroke during 2012-2021. Using multiple Danish registries, patients who redeemed a statin prescription within 21 days after stroke admission were classified as high-intensity statin initiators or moderate-intensity statin initiators. Propensity score inverse probability of treatment weighting was used to balance patient characteristics. We used competing risk methods to compute 5 year risk differences (RDs) and Cox proportional hazards regression to compute 5 year hazard ratios (HRs) of stroke recurrence, myocardial infarction, heart failure, venous thromboembolism, and all-cause mortality (effectiveness outcomes) and diabetes, liver disease, and kidney disease (safety outcomes). RESULTS High-intensity (n = 13,032) and moderate-intensity (n = 14,355) statin initiators were identified. Risks of most examined effectiveness outcomes were comparable between statin intensities. There was no clear association between statin intensity and stroke recurrence (RD: 0.8% [95% CI: 0.1, 1.4], HR: 1.08 [95% CI: 0.96, 1.22]). All-cause mortality was slightly reduced among high-intensity statin initiators (RD: -1.1% [95% CI: -0.1, -2.1], HR: 0.93 [95% CI: 0.85, 1.01]. Risks of most safety outcomes were comparable between statin intensities, but high-intensity statin use was associated with an increased risk of diabetes (RD: 1.2% [95% CI: 0.4, 1.9], HR: 1.10 [95% CI: 1.00, 1.21]). DISCUSSION AND CONCLUSION Compared with initiation of moderate-intensity statins, initiation of high-intensity statins after ischemic stroke was associated with similar risks of most effectiveness and safety outcomes. However, mortality risk was reduced, and diabetes risk was increased.
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Affiliation(s)
- Frederikke Bach
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
| | - Nils Skajaa
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
| | - Buket Öztürk Esen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
| | - Cecilia Hvitfeldt Fuglsang
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
| | - Erzsébet Horváth-Puhó
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
| | - Kasper Adelborg
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University & Aarhus University Hospital, Aarhus, Denmark
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Lun R, Cerasuolo JO, Carrier M, Gross PL, Kapral MK, Shamy M, Dowlatshahi D, Sutradhar R, Siegal DM. Previous Ischemic Stroke Significantly Alters Stroke Risk in Newly Diagnosed Cancer Patients. Stroke 2023; 54:3064-3073. [PMID: 37850360 DOI: 10.1161/strokeaha.123.042993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 09/20/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Previous ischemic stroke (IS) is a risk factor for subsequent IS in the general population; it is unclear if this relationship remains true in patients with cancer. Our objective was to examine the association between previous IS and risk for future IS in individuals newly diagnosed with cancer. METHODS We conducted a retrospective population-based matched cohort study of newly diagnosed adult cancer patients (excluding nonmelanoma skin cancers and primary central nervous system tumors) in Ontario, Canada from 2010 to 2020; those with prior IS were matched (1:4) by age, sex, year of cancer diagnosis, cancer stage, and cancer site to those without a history of stroke. Cumulative incidence function curves were created to estimate the incidence of IS. Subdistribution adjusted hazard ratios (aHRs) and 95% CIs were calculated, where death was treated as a competing event. Multivariable analysis was adjusted for imbalanced baseline characteristics. RESULTS We examined 65 525 individuals with cancer, including 13 070 with a history of IS. The median follow-up duration was 743 days (interquartile range, 177-1729 days). The incidence of IS following cancer diagnosis was 261.3/10 000 person-years in the cohort with prior IS and 75.3/10 000 person-years in those without prior IS. Individuals with prior IS had an increased risk for IS after cancer diagnosis compared with those without a history (aHR, 2.68 [95% CI, 2.41-2.98]); they also had more prevalent cardiovascular risk factors. The highest risk for stroke compared with those without a history of IS was observed in the gynecologic cancer (aHR, 3.84 [95% CI, 2.15-6.85]) and lung cancer (aHR, 3.18 [95% CI, 2.52-4.02]) subgroups. The risk of IS was inversely correlated with lag time of previous stroke; those with IS 1 year before their cancer diagnosis had the highest risk (aHR, 3.68 [95% CI, 3.22-4.22]). CONCLUSIONS Among individuals with newly diagnosed cancer, those with IS history were almost 3× more likely to experience a stroke after cancer diagnosis, especially if the prediagnosis stroke occurred within 1 year preceding cancer diagnosis.
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Affiliation(s)
- Ronda Lun
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, ON, Canada (R.L., M.S., D.D.)
- Division of Vascular Neurology, Stanford Healthcare, Palo Alto CA (R.L.)
- University of Ottawa, School of Epidemiology, Ontario, Canada (R.L.)
| | - Joshua O Cerasuolo
- ICES McMaster, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (J.O.C.)
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (J.O.C.)
| | - Marc Carrier
- Division of Hematology, Department of Medicine, University of Ottawa, ON, Canada (M.C., D.M.S.)
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, ON, Canada (M.C., D.M.S.)
| | - Peter L Gross
- Division of Hematology and Thromboembolism, Department of Medicine, McMaster University, Hamilton, Ontario, Canada (P.L.G.)
| | | | - Michel Shamy
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, ON, Canada (R.L., M.S., D.D.)
| | - Dar Dowlatshahi
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, ON, Canada (R.L., M.S., D.D.)
| | | | - Deborah M Siegal
- Division of Hematology, Department of Medicine, University of Ottawa, ON, Canada (M.C., D.M.S.)
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, ON, Canada (M.C., D.M.S.)
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30
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Al-Shahi Salman R, Greenberg SM. Antiplatelet Agent Use After Stroke due to Intracerebral Hemorrhage. Stroke 2023; 54:3173-3181. [PMID: 37916459 DOI: 10.1161/strokeaha.123.036886] [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: 11/03/2023]
Abstract
This focused update about antiplatelet agents to reduce the high risk of major adverse cardiovascular events after stroke due to spontaneous (nontraumatic) intracerebral hemorrhage (ICH) complements earlier updates about blood pressure-lowering, lipid-lowering, and oral anticoagulation or left atrial appendage occlusion for atrial fibrillation after ICH. When used for secondary prevention in people without ICH, antiplatelet agents reduce the risk of major adverse cardiovascular event (rate ratio, 0.81 [95% CI, 0.75-0.87]) and might increase the risk of ICH (rate ratio, 1.67 [95% CI, 0.97-2.90]). Before 2019, guidance for clinical decisions about antiplatelet agent use after ICH has focused on estimating patients' predicted absolute risks and severities of ischemic and hemorrhagic major adverse cardiovascular event and applying the known effects of these drugs in people without ICH to estimate whether individual ICH survivors in clinical practice might be helped or harmed by antiplatelet agents. In 2019, the main results of the RESTART (Restart or Stop Antithrombotics Randomized Trial) randomized controlled trial including 537 survivors of ICH associated with antithrombotic drug use showed, counterintuitively, that antiplatelet agents might not increase the risk of recurrent ICH compared to antiplatelet agent avoidance over 2 years of follow-up (12/268 [4%] versus 23/268 [9%]; adjusted hazard ratio, 0.51 [95% CI, 0.25-1.03]; P=0.060). Guidelines in the United States, Canada, China, and the United Kingdom and Ireland have classified the level of evidence as B and indicated that antiplatelet agents may be considered/reasonable after ICH associated with antithrombotic agent use. Three subsequent clinical trials have recruited another 174 participants with ICH, but they will not be sufficient to determine the effects of antiplatelet therapy on all major adverse cardiovascular events reliably when pooled with RESTART. Therefore, ASPIRING (Antiplatelet Secondary Prevention International Randomized Study After Intracerebral Hemorrhage) aims to recruit 4148 ICH survivors to determine the effects of antiplatelet agents after ICH definitively overall and in subgroups.
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Affiliation(s)
| | - Steven M Greenberg
- Massachusetts General Hospital and Harvard Medical School, Boston (S.M.G.)
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31
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Lee HG, Kwon S, Cho SY, Park SU, Jung WS, Moon SK, Park JM, Ko CN, Jang HJ, Cho KH. Effect of an herbal medicine, Chunghyul-dan, on prevention of recurrence in patients with ischemic stroke: A retrospective cohort study. Medicine (Baltimore) 2023; 102:e35840. [PMID: 37960767 PMCID: PMC10637502 DOI: 10.1097/md.0000000000035840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/06/2023] [Indexed: 11/15/2023] Open
Abstract
Research indicates that Chunghyul-dan (CHD), a herbal medicine, has an inhibitory effect on stroke recurrence in small vessel disease. Recent studies have suggested that CHD might also act on large arteries. This study aimed to verify the preventive effect of CHD on strokes of all the Trial of Org 10172 in Acute Stroke Treatment (TOAST) causative classifications. We retrospectively analyzed 2 years of medical records of patients with ischemic stroke treated with CHD, 600 mg once daily, in combination with antiplatelet or anticoagulant agents. The prevalence of stroke recurrence in 2 years was analyzed. Stroke recurrence was defined as new neurological symptoms with corresponding brain imaging results. Nine of the 202 patients (4.46%) had recurrent ischemic stroke. Four occurred within 180 days, 3 between 180 and 365 days, and 2 between 365 and 730 days. All had only 1 recurrence. The recurrence rates were 1.12%, 5%, and 5.48% for small vessel occlusion, cardioembolism, and large vessel atherosclerosis, respectively. There were no adverse effects. These results suggest that CHD could inhibit ischemic stroke recurrence of all TOAST causative categories. A randomized controlled trial is needed to confirm this hypothesis.
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Affiliation(s)
- Han-Gyul Lee
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea
| | - Seungwon Kwon
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea
| | - Seung-Yeon Cho
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Seong-Uk Park
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Woo-Sang Jung
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea
| | - Sang-Kwan Moon
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea
| | - Jung-Mi Park
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Chang-Nam Ko
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Hyeung-Jin Jang
- College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea
- Panacura Inc., Seoul, Republic of Korea
| | - Ki-Ho Cho
- Department of Cardiology and Neurology, Kyung Hee University College of Korean Medicine, Kyung Hee University Medical Center, Seoul, Republic of Korea
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Cherepianskii MS, Ponomareva GM, Skiba IB, Abakarov RM, Dudayte VV, Cherepianskaia AA. [Inclisiran in patients with acute ischemic stroke: first data]. KARDIOLOGIIA 2023; 63:39-46. [PMID: 37970854 DOI: 10.18087/cardio.2023.10.n2560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/02/2023] [Indexed: 11/19/2023]
Abstract
AIM To evaluate the effect of inclisiran therapy on parameters of lipid metabolism in hospitalized patients with acute ischemic stroke. MATERIAL AND METHODS A prospective, observational, non-randomized study was performed. The study included 12 patients with acute ischemic stroke prescribed with a combination lipid-lowering therapy with inclisiran (284 mg as a single dose). At 15 days after the start of therapy, changes in blood lipid composition were assessed. For quantitative variables, median, maximum and minimum values were determined. The significance of differences between related samples in quantitative variables was assessed using the Mann-Whitney test. RESULTS Before the start of combination lipid-lowering therapy, total cholesterol (TC) was 7.33 mmol/l and low-density lipoprotein C (LDL-C) was 5.23 mmol/l. At 15 days after the start of inclisiran therapy, TC significantly decreased by 52.1 % and LDL-C decreased by 71.1 %. The proportion of patients who reached the LDL-C goal was 66.7 %. There were no adverse events considered by the investigators to be related with the therapy. CONCLUSION The strategy of early administration of inclisiran (or its combination with a statin) in patients with ischemic stroke allows safe achievement of a significant reduction in LDL-C already in 15 days after the start of therapy.
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Affiliation(s)
| | | | - I B Skiba
- Pavlov First Saint-Petersburg State Medical University
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33
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Vo TP, Kristiansen MH, Hasselbalch HC, Wienecke T. Elevated white blood cell counts in ischemic stroke patients are associated with increased mortality and new vascular events. Front Neurol 2023; 14:1232557. [PMID: 37771455 PMCID: PMC10524243 DOI: 10.3389/fneur.2023.1232557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/21/2023] [Indexed: 09/30/2023] Open
Abstract
Background and purpose High levels of white blood cells (WBC) in ischemic stroke have been shown to increase the risk of new vascular events and mortality in short and intermediate follow-up studies, but long-term effects remain unknown. We studied whether elevated levels of WBC in ischemic stroke patients are associated with new vascular events and mortality in a 10-year follow-up period. Methods We included ischemic stroke patients hospitalized between 2011 and 2012, categorizing their WBC counts within 48 h of stroke onset as high or normal (3.5-8.8 × 109 mmol/L; >8.8 × 109 mmol/L). Using Aahlen Johansen and Cox proportional hazard models with competing risk, we analyzed the association between WBC levels and new vascular events. Kaplan-Meier and standard Cox proportional hazard models were used to assess the risk of all-cause mortality. Results Among 395 patients (median age 69, [IQR: 63, 78], female patients 38,0%), 38.5% had elevated WBC at admission. During the 10-year follow-up, 113 vascular events occurred, with 46% in patients with elevated WBC and 54% in patients with normal WBC. After adjusting for relevant factors, elevated WBC levels were independently associated with increased risk of new vascular events (HR: 1.61, CI: 1.09-2.39 p < 0.05) and death (HR: 1.55, CI: 1.15-2.09, p < 0.05). Conclusion Elevated WBC levels in ischemic stroke patients are linked to a higher risk of new vascular events and mortality. Thus, ischemic stroke patients with elevated WBC without clinical infection need special attention to investigate possible underlying conditions to prevent future vascular events and reduce mortality. The interpretation of our results is limited by the absence of adjustment to premorbid functional status, stroke severity, and stroke treatment.
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Affiliation(s)
- Thao Phuong Vo
- Neurology Department, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
| | | | - Hans Carl Hasselbalch
- Hematology Department, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
| | - Troels Wienecke
- Neurology Department, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
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Broman J, Fandler-Höfler S, von Sarnowski B, Elmegiri M, Gattringer T, Holbe C, von der Linden J, Malinowski R, Martola J, Pinter D, Ropele S, Schminke U, Tatlisumak T, Enzinger C, Putaala J, Aarnio K. Long-term risk of recurrent vascular events and mortality in young stroke patients: Insights from a multicenter study. Eur J Neurol 2023; 30:2675-2683. [PMID: 37159485 DOI: 10.1111/ene.15850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/07/2023] [Accepted: 04/12/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Although the incidence of stroke in the young is rising, data on long-term outcomes in these patients are scarce. We thus aimed to investigate the long-term risk of recurrent vascular events and mortality in a multicenter study. METHODS We followed 396 consecutive patients aged 18-55 years with ischemic stroke (IS) or transient ischemic attack (TIA) enrolled in three European centers during the period 2007-2010. A detailed outpatient clinical follow-up assessment was performed between 2018 and 2020. When an in-person follow-up visit was not possible, outcome events were assessed using electronic records and registry data. RESULTS During a median follow-up of 11.8 (IQR 10.4-12.7) years, 89 (22.5%) patients experienced any recurrent vascular event, 62 (15.7%) had any cerebrovascular event, 34 (8.6%) had other vascular events, and 27 (6.8%) patients died. Cumulative 10-year incidence rate per 1000 person-years was 21.6 (95% CI 17.1-26.9) for any recurrent vascular event and 14.9 (95% CI 11.3-19.3) for any cerebrovascular event. The prevalence of cardiovascular risk factors increased over time, and 22 (13.5%) patients lacked any secondary preventive medication at the in-person follow-up. After adjustment for demographics and comorbidities, atrial fibrillation at baseline was found to be significantly associated with recurrent vascular events. CONCLUSIONS This multicenter study shows a considerable risk of recurrent vascular events in young IS and TIA patients. Further studies should investigate whether detailed individual risk assessment, modern secondary preventive strategies, and better patient adherence may reduce recurrence risk.
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Affiliation(s)
- Jenna Broman
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | | | - Mohamed Elmegiri
- Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Christine Holbe
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | | | - Robert Malinowski
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Juha Martola
- Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Turgut Tatlisumak
- Department of Clinical Neuroscience, Institute of Neurosciences and Physiology, Sahlgrenska Academy at University of Gothenburg & Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Jukka Putaala
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Karoliina Aarnio
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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Zhang W, Huang Z, Huang Y, Dai Y, Lu H, Chen Z, Zou F. Factors influencing recurrence after an ischemic stroke vary by sex. Neurol Res 2023; 45:827-834. [PMID: 37170802 DOI: 10.1080/01616412.2023.2211433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 05/02/2023] [Indexed: 05/13/2023]
Abstract
OBJECTIVES To determine the factors that affect recurrent stroke after acute ischemic stroke, specifically between male and female groups. METHODS We examined relative factors associated with recurrent stroke in Chinese patients with first-ever ischemic stroke. LASSO (least absolute shrinkage and selection operator) Cox regression were used to determine the predictors of recurrent stroke in the male and female groups. Next, We used Kaplan-Meier survival curves and interactions among these predictors to assess the association between relapse-related factors and recurrent stroke. RESULTS During one year of follow-up, we documented 42 incidents of recurrent stroke in males and 15 in females. There was no significant difference in the overall recurrence rate between men and women. We finally identified three variables in males and one variable in females associated considerably with recurrent stroke by LASSO Cox regression. In females, good sleep appeared to be the most significant protective factor against recurrent stroke(hazard ratio [HR], 0.21; 95% CI, 0.08-0.57). In the male group, we found two risk factors: atherosclerotic burden (HR, 2.42; 95% CI, 1.30-4.51) and coronary heart disease (HR, 2.98; 95% CI, 1.16-7.66); and one protective factor: domestic/physical activities (HR, 0.45; 95% CI, 0.24-0.83). We also found an interaction between good sleep and domestic/physical activities in males (Pinteraction = 0.016). DISCUSSION Our data indicate that the factors for recurrent stroke may differ by sex. Engaging in domestic/physical activities may substantially lower recurrent strokes in Chinese adult males. And good sleep in females appears to be more important in preventing stroke recurrence.
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Affiliation(s)
- Wenli Zhang
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zhixin Huang
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
- Department of Neurology, Jinan University Faculty of Medical Science, Guangzhou, China
- Department of Neurology, University of South China, Hengyang, China
| | - Ying Huang
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yingyi Dai
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Haike Lu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zhenru Chen
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO, USA
| | - Fengyuan Zou
- Department of Data Science, Guangzhou AID Cloud Technology, Guangzhou, China
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Fandler-Höfler S, Obergottsberger L, Ambler G, Eppinger S, Wünsch G, Kneihsl M, Seiffge D, Banerjee G, Wilson D, Nash P, Jäger HR, Enzinger C, Werring DJ, Gattringer T. Association of the Presence and Pattern of MRI Markers of Cerebral Small Vessel Disease With Recurrent Intracerebral Hemorrhage. Neurology 2023; 101:e794-e804. [PMID: 37349111 PMCID: PMC10449438 DOI: 10.1212/wnl.0000000000207510] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/24/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Assessing the risk of recurrent intracerebral hemorrhage (ICH) is of high clinical importance. MRI-based cerebral small vessel disease (SVD) markers may help establish ICH etiologic subtypes (including cryptogenic ICH) relevant for recurrence risk. METHODS We investigated the risk of recurrent ICH in a large cohort of consecutive ICH survivors with available MRI at baseline. Patients with macrovascular, structural, or other identified secondary causes (other than SVD) were excluded. Based on MRI findings, ICH etiology was defined as probable cerebral amyloid angiopathy (CAA) according to the Boston 2.0 criteria, arteriolosclerosis (nonlobar ICH and additional markers of arteriolosclerosis, absent lobar hemorrhagic lesions), mixed SVD (mixed deep and lobar hemorrhagic changes), or cryptogenic ICH (no MRI markers of SVD). Recurrent ICH was determined using electronic health records and confirmed by neuroimaging. Data from an independent multicenter cohort (CROMIS-2 ICH) were used to confirm core findings. RESULTS Of 443 patients with ICH (mean age 67 ± 13 years, 41% female), ICH etiology was mixed SVD in 36.7%, arteriolosclerosis in 23.6%, CAA in 23.0%, and cryptogenic ICH in 16.7%. During a median follow-up period of 5.7 years (interquartile range 2.9-10.0, 2,682 patient-years), recurrent ICH was found in 59 individual patients (13.3%). The highest recurrence rate per 100 person-years was detected in patients with CAA (8.5, 95% CI 6.1-11.7), followed by that in those with mixed SVD (1.8, 95% CI 1.1-2.9) and arteriolosclerosis (0.6, 95% CI 0.3-1.5). No recurrent ICH occurred in patients with cryptogenic ICH during 510 person-years follow-up (97.5% CI 0-0.7); this finding was confirmed in an independent cohort (CROMIS-2 ICH, n = 216), in which also there was no recurrence in patients with cryptogenic ICH. In patients with CAA, cortical superficial siderosis was the imaging feature strongest related to ICH recurrence (hazard ratio 5.7, 95% CI 2.4-13.6). DISCUSSION MRI-based etiologic subtypes are helpful in determining the recurrence risk of ICH; while the highest recurrence risk was found in CAA, recurrence risk was low for arteriolosclerosis and negligible for cryptogenic ICH.
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Affiliation(s)
- Simon Fandler-Höfler
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Lena Obergottsberger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Gareth Ambler
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Sebastian Eppinger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Gerit Wünsch
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Markus Kneihsl
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - David Seiffge
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Gargi Banerjee
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Duncan Wilson
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Philip Nash
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Hans Rudolf Jäger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Christian Enzinger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - David J Werring
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Thomas Gattringer
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom.
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Shao K, Zhang F, Li Y, Cai H, Paul Maswikiti E, Li M, Shen X, Wang L, Ge Z. A Nomogram for Predicting the Recurrence of Acute Non-Cardioembolic Ischemic Stroke: A Retrospective Hospital-Based Cohort Analysis. Brain Sci 2023; 13:1051. [PMID: 37508983 PMCID: PMC10377670 DOI: 10.3390/brainsci13071051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/26/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Non-cardioembolic ischemic stroke (IS) is the predominant subtype of IS. This study aimed to construct a nomogram for recurrence risks in patients with non-cardioembolic IS in order to maximize clinical benefits. From April 2015 to December 2019, data from consecutive patients who were diagnosed with non-cardioembolic IS were collected from Lanzhou University Second Hospital. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection. Multivariable Cox regression analyses were used to identify the independent risk factors. A nomogram model was constructed using the "rms" package in R software via multifactor Cox regression. The accuracy of the model was evaluated using the receiver operating characteristic (ROC), calibration curve, and decision curve analyses (DCA). A total of 729 non-cardioembolic IS patients were enrolled, including 498 (68.3%) male patients and 231 (31.7%) female patients. Among them, there were 137 patients (18.8%) with recurrence. The patients were randomly divided into training and testing sets. The Kaplan-Meier survival analysis of the training and testing sets consistently revealed that the recurrence rates in the high-risk group were significantly higher than those in the low-risk group (p < 0.01). Moreover, the receiver operating characteristic curve analysis of the risk score demonstrated that the area under the curve was 0.778 and 0.760 in the training and testing sets, respectively. The nomogram comprised independent risk factors, including age, diabetes, platelet-lymphocyte ratio, leukoencephalopathy, neutrophil, monocytes, total protein, platelet, albumin, indirect bilirubin, and high-density lipoprotein. The C-index of the nomogram was 0.752 (95% CI: 0.705~0.799) in the training set and 0.749 (95% CI: 0.663~0.835) in the testing set. The nomogram model can be used as an effective tool for carrying out individualized recurrence predictions for non-cardioembolic IS.
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Affiliation(s)
- Kangmei Shao
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Provincial Neurology Clinical Medical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Fan Zhang
- Department of Oncology Surgery, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Yongnan Li
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Hongbin Cai
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Provincial Neurology Clinical Medical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Ewetse Paul Maswikiti
- Department of Oncology Surgery, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Mingming Li
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Provincial Neurology Clinical Medical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Xueyang Shen
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Provincial Neurology Clinical Medical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Longde Wang
- Expert Workstation of Academician Wang Longde, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Zhaoming Ge
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Provincial Neurology Clinical Medical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
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Branch KRH, Probstfield JL, Bosch J, Bhatt DL, Maggioni AP, Muehlhofer E, Avezum A, Widimsky P, Connolly SJ, Yi Q, Shestakovska O, Yusuf S, Eikelboom JW. Total events and net clinical benefit of rivaroxaban and aspirin in patients with chronic coronary or peripheral artery disease: The COMPASS trial. Am Heart J 2023; 258:60-68. [PMID: 36646196 DOI: 10.1016/j.ahj.2023.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 01/04/2023] [Accepted: 01/07/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Low dose rivaroxaban with aspirin reduced major cardiovascular events (MACE) compared to aspirin alone in patients with cardiovascular disease although effects on total events are unknown. METHODS The COMPASS clinical trial randomized 27,395 participants with chronic coronary and/or peripheral artery disease to rivaroxaban 2.5 mg twice daily plus aspirin 100 mg daily, rivaroxaban 5 mg twice daily alone, or aspirin 100 mg daily. We analyzed total (first and recurrent) MACE outcomes of cardiovascular death, stroke, or myocardial infarction, and the primary safety outcome of major bleeding. Exploratory analyses included on-treatment and net clinical benefit. Total MACE and safety events were modeled for each treatment. RESULTS MACE events were lowest in rivaroxaban with aspirin (379 first MACE, 432 total MACE) compared with rivaroxaban (448 first, 508 total) or aspirin alone (496 first, 574 total). Rivaroxaban and aspirin reduced total MACE events compared with aspirin alone [HR 0.75, 95% CI 0.66-0.85, P < .0001, number needed to treat for 2 years (NNT2y) of 63]. Total major bleeding was higher for rivaroxaban with aspirin compared to aspirin, but severe bleeding was not increased. The net clinical benefit of rivaroxaban plus aspirin was 20% higher compared with aspirin alone [HR 0.80 (95% CI 16.3%-31.6%)]. Rivaroxaban alone had no benefit on MACE outcomes compared with aspirin alone. MACE outcomes were similar for those on and off randomized treatment. CONCLUSIONS Low dose rivaroxaban with aspirin significantly reduces first and total cardiovascular events compared with aspirin alone with a NNT2y of 63 and a 20% net clinical benefit. TRIAL REGISTRATION NCT01776424. https://clinicaltrials.gov/ct2/show/NCT01776424.
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Affiliation(s)
| | | | - Jackie Bosch
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Deepak L Bhatt
- Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, MA
| | - Aldo P Maggioni
- National Association of Hospital Cardiologists Research Center (ANMCO) Research Center, Firenze, Toscano, Italy
| | | | - Alvaro Avezum
- Dante Pazzanese Institute of Cardiology and Hospital Alemão Oswaldo Cruz, São Paulo, São Paulo, Brazil
| | - Petr Widimsky
- Cardiocenter, University Hospital Kralovske Vinohrady and Third Faculty of Medicine, Charles University, Prague
| | - Stuart J Connolly
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Quilong Yi
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Olga Shestakovska
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - John W Eikelboom
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
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Abstract
The health burden of ischemic stroke is high and will continue to increase with an aging population. Recurrent ischemic stroke is increasingly recognized as a major public health concern with potentially debilitating sequelae. Thus, it is imperative to develop and implement effective strategies for stroke prevention. When considering secondary ischemic stroke prevention, it is important to consider the mechanism of the first stroke and the related vascular risk factors. Secondary ischemic stroke prevention typically includes multiple medical and, potentially, surgical treatments, but with the shared goal of reducing the risk of recurrent ischemic stroke. Providers, health care systems, and insurers also need to consider the availability of treatments, their cost and patient burden, methods for improving adherence, and interventions that target lifestyle risk factors such as diet or activity. In this article, we discuss aspects from the 2021 AHA Guideline on Secondary Stroke Prevention as well as highlight additional information relevant to best practices for reducing recurrent stroke risk.
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Affiliation(s)
- Aaron Bangad
- Department of Neurology, Yale University, 15 York Street, New Haven, CT, 06510, USA
| | - Mehdi Abbasi
- Department of Neurology, Yale University, 15 York Street, New Haven, CT, 06510, USA
| | - Adam de Havenon
- Department of Neurology, Yale University, 15 York Street, New Haven, CT, 06510, USA.
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40
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Eriksson M, Grundberg A, Inge E, von Euler M. Stroke Recurrence Following 28 Days After First Stroke in Men and Women 2012 to 2020: Observations From the Swedish Stroke Register. J Am Heart Assoc 2023; 12:e028222. [PMID: 36688356 PMCID: PMC9973638 DOI: 10.1161/jaha.122.028222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Background Stroke incidence, care, and survival show continuous improvements in Sweden, including no or decreasing disparities between men and women. In this study, we aimed to estimate and compare the risk of stroke recurrence in men and women over time, accounting for the competing risk of death. Methods and Results We included adult patients with first-time stroke (ischemic or intracerebral hemorrhage) registered in Riksstroke (the Swedish Stroke Register), 2012 to 2020, and followed until December 2020. Stroke recurrences included new events registered in Riksstroke from 28 days after stroke. To account for the competing risk of death, we used the cumulative incidence function to estimate crude incidences, and multivariable Cox regression to estimate cause-specific hazard ratios (HRs) adjusting for differences in patients' risk factor profiles. The study included 72 148 (53.5%) men and 62 689 (46.5%) women. We observed 10 925 stroke recurrences and 81 811 deaths following the initial 28 days after the first stroke. The cumulative incidence of stroke recurrence was 3.7% (95% CI, 3.6-3.8) after 1 year, 7.0 (95% CI, 6.8-7.1) after 3 years, and 9.1% (95% CI, 8.9-9.3) after 5 years. The incidence decreased substantially during the study period (HR, 2019-2020 versus 2012, 0.824 [95% CI, 0.759-0.894]). Overall, men had a lower risk of stroke recurrence. After adjustments for differences in patient characteristics, men had a slightly higher risk of recurrence (of any type) after an ischemic stroke (HR, 1.090 [95% CI, 1.045-1.138]) and a lower risk after hemorrhagic stroke (HR, 0.880 [95% CI, 0.781-0.991]) compared with women. Conclusions The risk of stroke recurrence has decreased in both men and women. Women's higher age and other differences in risk factors partly explain their higher risk of stroke recurrence compared with men.
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Affiliation(s)
| | | | - Erik Inge
- Department of Statistics, USBEUmeå UniversityUmeåSweden
| | - Mia von Euler
- Department of Neurology and Rehabilitation, Faculty of Medicine and HealthÖrebro UniversityÖrebroSweden
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Skajaa N, Adelborg K, Horváth-Puhó E, Rothman KJ, Henderson VW, Thygesen LC, Sørensen HT. Labour market participation and retirement after stroke in Denmark: registry based cohort study. BMJ 2023; 380:e072308. [PMID: 36596583 PMCID: PMC9809469 DOI: 10.1136/bmj-2022-072308] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To examine labour market participation and retirement among patients with stroke and matched people in the general population according to stroke subtype. DESIGN Nationwide, population based, matched cohort study. SETTING Danish Stroke Registry, covering all Danish hospitals, and other nationwide registries (2005-18). PARTICIPANTS Patients (aged 18-60 years and active in the labour market) with a first time diagnosis of ischaemic stroke (n=16 577), intracerebral haemorrhage (n=2025), or subarachnoid haemorrhage (n=4305), and individuals from the general population, matched on age, sex, and calendar year (n=134 428). The median Scandinavian stroke scale score was 55. MAIN OUTCOME MEASURES Unweighted prevalences of labour market participation, receipt of sick leave benefits, receipt of disability pension, voluntary early retirement, state pension, and death were computed for each week and up to five years after stroke diagnosis. A log-linear Poisson model was used to obtain exact prevalence estimates as well as propensity score weighted prevalence differences and prevalence ratios at six months, one year, two years, and five years after stroke diagnosis. RESULTS Most patients (62% of those with ischaemic stroke, 69% of those with intracerebral haemorrhage, and 52% of those with subarachnoid haemorrhage) went on sick leave within three weeks of diagnosis. Prevalence of labour market participation among patients with ischaemic stroke compared with matched individuals from the general population was 56.6% versus 96.6% at six months, and 63.9% versus 91.6% at two years. Prevalence of sick leave was 39.8% versus 2.6% at six months, and 15.8% versus 3.8% at two years. Prevalence of receipt of a disability pension was 0.9% versus 0.2% at six months, and 12.2% versus 0.6% at two years. Adjusting for socioeconomic and comorbidity differences between patients and matched individuals from the general population using propensity score weighting methods had little impact on contrasts. Patients with intracerebral haemorrhage had higher prevalences of sick leave and receipt of a disability pension and thus a lower prevalence of labour market participation, while prevalences for patients with subarachnoid haemorrhage were similar in magnitude to those for patients with ischaemic stroke. CONCLUSIONS In a highly resourced country, about two thirds of working age adults with ischaemic stroke of primarily mild severity participated in the labour market two years after diagnosis. Sick leave and receipt of a disability pension were the most common reasons for non-participation. Patients with intracerebral haemorrhage were less likely to return to the labour market than patients with ischaemic stroke and subarachnoid haemorrhage.
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Affiliation(s)
- Nils Skajaa
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Kasper Adelborg
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Biochemistry, Thrombosis and Haemostasis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Erzsébet Horváth-Puhó
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Kenneth J Rothman
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- RTI Health Solutions, Research Triangle Institute, Research Triangle Park, NC, USA
| | - Victor W Henderson
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lau Caspar Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
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Wang H, Sun Y, Zhu J, Zhuang Y, Song B. Diffusion-weighted imaging-based radiomics for predicting 1-year ischemic stroke recurrence. Front Neurol 2022; 13:1012896. [PMID: 36388230 PMCID: PMC9649925 DOI: 10.3389/fneur.2022.1012896] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 10/05/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose To investigate radiomics based on DWI (diffusion-weighted imaging) for predicting 1-year ischemic stroke recurrence. Methods A total of 1,580 ischemic stroke patients were enrolled in this retrospective study conducted from January 2018 to April 2021. Demographic and clinical characteristics were compared between recurrence and non-recurrence groups. On DWI, lesions were segmented using a 2D U-Net automatic segmentation network. Further, radiomics feature extraction was done using the segmented mask matrix on DWI and the corresponding ADC map. Additionally, radiomics features were extracted. The study participants were divided into a training cohort (n = 157, 57 recurrence patients, and 100 non-recurrence patients) and a test cohort (n = 846, 28 recurrence patients, 818 non-recurrence patients). A sparse representation feature selection model was performed to select features. Further classification was accomplished using a recurrent neural network (RNN). The area under the receiver operating characteristic curve values was obtained for model performance. Results A total of 1,003 ischemic stroke patients (682 men and 321 women; mean age: 65.90 ± 12.44 years) were included in the final analysis. About 85 patients (8.5%) recurred in 1 year, and patients in the recurrence group were older than the non-recurrence group (P = 0.003). The stroke subtype was significantly different between recurrence and non-recurrence groups, and cardioembolic stroke (11.3%) and large artery atherosclerosis patients (10.3%) showed a higher recurrence percentage (P = 0.005). Secondary prevention after discharge (statins, antiplatelets, and anticoagulants) was found significantly different between the two groups (P = 0.004). The area under the curve (AUC) of clinical-based model and radiomics-based model were 0.675 (95% CI: 0.643–0.707) and 0.779 (95% CI: 0.750–0.807), respectively. With an AUC of 0.847 (95% CI: 0.821–0.870), the model that combined clinical and radiomic characteristics performed better. Conclusion DWI-based radiomics could help to predict 1-year ischemic stroke recurrence.
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Velek P, Luik AI, Brusselle GGO, Stricker BC, Bindels PJE, Kavousi M, Kieboom BCT, Voortman T, Ruiter R, Ikram MA, Ikram MK, de Schepper EIT, Licher S. Sex-specific patterns and lifetime risk of multimorbidity in the general population: a 23-year prospective cohort study. BMC Med 2022; 20:304. [PMID: 36071423 PMCID: PMC9454172 DOI: 10.1186/s12916-022-02487-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/14/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Multimorbidity poses a major challenge for care coordination. However, data on what non-communicable diseases lead to multimorbidity, and whether the lifetime risk differs between men and women are lacking. We determined sex-specific differences in multimorbidity patterns and estimated sex-specific lifetime risk of multimorbidity in the general population. METHODS We followed 6,094 participants from the Rotterdam Study aged 45 years and older for the occurrence of ten diseases (cancer, coronary heart disease, stroke, chronic obstructive pulmonary disease, depression, diabetes, dementia, asthma, heart failure, parkinsonism). We visualised participants' trajectories from a single disease to multimorbidity and the most frequent combinations of diseases. We calculated sex-specific lifetime risk of multimorbidity, considering multimorbidity involving only somatic diseases (1) affecting the same organ system, (2) affecting different organ systems, and (3) multimorbidity involving depression. RESULTS Over the follow-up period (1993-2016, median years of follow-up 9.2), we observed 6334 disease events. Of the study population, 10.3% had three or more diseases, and 27.9% had two or more diseases. The most frequent pair of co-occurring diseases among men was COPD and cancer (12.5% of participants with multimorbidity), the most frequent pair of diseases among women was depression and dementia (14.9%). The lifetime risk of multimorbidity was similar among men (66.0%, 95% CI: 63.2-68.8%) and women (65.1%, 95% CI: 62.5-67.7%), yet the risk of multimorbidity with depression was higher for women (30.9%, 95% CI: 28.4-33.5%, vs. 17.5%, 95% CI: 15.2-20.1%). The risk of multimorbidity with two diseases affecting the same organ is relatively low for both sexes (4.2% (95% CI: 3.2-5.5%) for men and 4.5% (95% CI: 3.5-5.7%) for women). CONCLUSIONS Two thirds of people over 45 will develop multimorbidity in their remaining lifetime, with women at nearly double the risk of multimorbidity involving depression than men. These findings call for programmes of integrated care to consider sex-specific differences to ensure men and women are served equally.
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Affiliation(s)
- Premysl Velek
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands. .,Department of General Practice, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Guy G O Brusselle
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Respiratory Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bruno Ch Stricker
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Patrick J E Bindels
- Department of General Practice, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Brenda C T Kieboom
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rikje Ruiter
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Internal Medicine, Maasstad Hospital, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Neurology, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Evelien I T de Schepper
- Department of General Practice, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Silvan Licher
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
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Wan Y, Guo H, Bi R, Chen S, Shen J, Li M, Xia Y, Zhang L, Sun Z, Chen X, Cai Z, Wang Z, Gong D, Xu J, Zhu D, Hu B, He Q. Clinical and Prognostic Characteristics of Recurrent Intracerebral Hemorrhage: A Contrast to First-Ever ICH. Front Aging Neurosci 2022; 14:860571. [PMID: 35493945 PMCID: PMC9047504 DOI: 10.3389/fnagi.2022.860571] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 02/28/2022] [Indexed: 11/18/2022] Open
Abstract
This study aimed to compare clinical and prognostic characteristics between recurrent and first-ever ICH. Four thousand twelve patients entered the study, and 64% of them were male. The median age is 62 years (interquartile range, 55–71). Among them, 3,750 (93.5%) patients had no experience of previous ICH, and 262 (6.5%) patients were considered as recurrent ICH. We compared demographic data, baseline clinical characteristics, imaging information, hematological parameters, and clinical outcomes between recurrent and first-ever ICH. We found that recurrent ICH was significantly associated with older age, more frequent history of ischemic heart disease, ischemic stroke, hypertension, and hyperlipidemia, while patients with recurrent ICH had previously received more antihypertensive therapy, and showed lower admission blood pressure (median, 160 vs. 167 mmHg) and higher baseline of National Institute of Health stroke scale (NIHSS) score (median, 10 vs. 9). We also demonstrated that recurrent ICH was an independent risk factor of 3-month function dependence after adjusting for many potentially competitive risk factors.
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Affiliation(s)
- Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongxiu Guo
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rentang Bi
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaoli Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Shen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Man Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanpeng Xia
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhou Sun
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaolu Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhuoyuan Cai
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhaowei Wang
- Department of Neurology, Qianjiang Central Hospital, Qianjiang, China
| | - Daokai Gong
- Department of Neurology, Jingzhou Central Hospital, Jingzhou, China
| | - Jingwen Xu
- Department of Neurology, Honghu People’s Hospital, Honghu, China
| | - Dongya Zhu
- School of Pharmacy, Nanjing Medical University, Nanjing, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Bo Hu,
| | - Quanwei He
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Quanwei He,
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Assessment of CVD Risk Factors in Secondary Prevention after Ischemic Stroke Using the ICF. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063368. [PMID: 35329054 PMCID: PMC8948762 DOI: 10.3390/ijerph19063368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 11/17/2022]
Abstract
Background: Patients after undergoing ischemic stroke have a high risk of further cardiovascular disease (CVD) incidents. Monitoring risk factors is critical to prevent the recurrence of CVD. Objective: The aim of the study was to determine differences in the incidence of risk factors for CVD in a post-ischemic stroke patient group (SG) compared to the control group, which had not undergone ischemic stroke (CG), and to characterize them using the ICF (International Classification of Functioning, Disability and Health) classification system. Materials and Methods: The incidence of risk factors for recurrent CVD events were retrospectively analyzed in 55 patients in SG and 55 patients in CG. The results were translated into categories from the ICF classification system. Results: Atrial fibrillation (p = 0.013), carotid artery stenosis > 50% (p < 0.001), LDL > 71 mg/dL (p < 0.001), heart rate > 80/min (p = 0.007), taking NOAC (p = 0.008) and NSAIDs (p < 0.001) as well as nicotinism (p = 0.001) were significantly more common in SG compared to CG. The value of the distribution of the total incidence of CVD risk factors were observed to be higher for SG than for CG. In SG, both for males (p < 0.001) and females (p < 0.001) more risk factors for recurrent CVD incidents were observed compared to CG. Conclusions: Patients in SG differ in the occurrence of risk factors for CVD event compared to CG. The use of a single tool, such as the ICF assessment sheet, can be useful in assessing and analyzing risk factors for recurrent CVD events. This may help to reduce the risk of subsequent CVD events in secondary prevention.
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Skoog I, Madsen TE. Risk of Recurrent Stroke: The Critical Need for Continued Efforts in Secondary Prevention. Neurology 2022; 98:133-134. [PMID: 34845053 DOI: 10.1212/wnl.0000000000013116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 11/19/2021] [Indexed: 11/15/2022] Open
Affiliation(s)
- Ingmar Skoog
- From the Institute of Neuroscience and Physiology (I.S.), Center for Ageing and Health, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; and Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI.
| | - Tracy E Madsen
- From the Institute of Neuroscience and Physiology (I.S.), Center for Ageing and Health, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; and Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI
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