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1.
Shima Shahjouei; Georgios Tsivgoulis; Ghasem Farahmand; Eric Koza; Ashkhan Mowla; Alireza Vafaei Sadr; Arash Kia; Alaleh Vaghefi Far; Stefania Mondello; Achille Cernigliaro; Annemarei Ranta; Martin Punter; Faezeh Khodadadi; Mrina Sabra; Mahtab Ramezani; Soheil Naderi; Oluwaseyi Olulana; Durgesh Chaudhary; Aicha Lyoubi; Bruce Campbell; Juan F Arenillas; Daniel Bock; Joan Montaner; Saeideh Aghayari Sheikh Neshin; Diana Aguiar de Sousa; Mattew Tenser; Ana Aires; Mercedes De Lera Alfonso; Orkhan Alizada; Elsa Azevedo; Nitin Goyal; Zabihollah Babaeepour; Gelareh Banihashemi; Leo H Bonati; Carlo Cereda; Jason J Chang; Miljenko Crnjakovic; GianMarco De Marchis; Massimo del Sette; Seyed Amir Ebrahimadeh; Mehdi Farhoudi; Ilaria Gandoglia; Bruno Goncalves; Christoph Griessenauer; Mehmet Murat Hanci; Aristeidis H. Katsanos; Christos Krogias; Ronen Leker; Lev Lotman; Jeffrey Mai; Shailesh Male; konark Malhotra; Branko Malojcic; Tresa Mesquita; Asadollah Mirghasemi; Hany Mohamed Aref; Zeinab Mohseni Afshar; Junsun Moon; Mika Niemela; Behnam Rezai Jahromi; Lawrence Nolan; Abhi Pandhi; Jong-Ho Park; Joao Pedro Marto; Francisco Purroy; Sakineh Ranji-Burachaloo; Nuno Reis Carreira; Manuel Requena; Marta Rubiera; Seyed Aidin Sajedi; Joao SargentoFreitas; Vijay Sharma; Thorsten Steiner; Kristi Tempro; Guillaume Turc; Yassaman Ahmadzadeh; Mostafa Almasi-Dooghaee; Farhad Assarzadegan; Arefeh Babazadeh; Humain Baharvahdat; Fabricio Cardoso; Apoorva Dev; Mohammad Ghorbani; Ava Hamidi; Zeynab Sadat Hasheminejad; Sahar Hojjat-Anasri Komachali; Fariborz Khorvash; Firas Kobeissy; Hamidreza Mirkarimi; Elahe Mohammadi-Vosough; Debdipto Misra; Alierza Noorian; Peyman Nowrouzi-Sohrabi; Sepideh Paybast; Leila Poorsaadat; mehrdad Roozbeh; Behnam Sabayan; Saeideh Salehizadeh; Alia Saberi; Mercedeh Sepehrnia; Fahimeh Vahabizad; Thomas Yasuda; Ahmadreza Hojati Marvasti; Mojdeh Ghabaee; Nasrin Rahimian; Mohammad Hosein Harirchian; Afshin Borhani-Haghighi; Rohan Arora; Saeed Ansari; Venkatesh Avula; Jian Li; Vida Abedi; Ramin Zand.
Preprint in English | medRxiv | ID: ppmedrxiv-20169169

ABSTRACT

BackgroundStroke is reported as a consequence of SARS-CoV-2 infection. However, there is a lack of regarding comprehensive stroke phenotype and characteristics MethodsWe conducted a multinational observational study on features of consecutive acute ischemic stroke (AIS), intracranial hemorrhage (ICH), and cerebral venous or sinus thrombosis (CVST) among SARS-CoV-2 infected patients. We further investigated the association of demographics, clinical data, geographical regions, and countries health expenditure among AIS patients with the risk of large vessel occlusion (LVO), stroke severity as measured by National Institute of Health stroke scale (NIHSS), and stroke subtype as measured by the TOAST criteria. Additionally, we applied unsupervised machine learning algorithms to uncover possible similarities among stroke patients. ResultsAmong the 136 tertiary centers of 32 countries who participated in this study, 71 centers from 17 countries had at least one eligible stroke patient. Out of 432 patients included, 323(74.8%) had AIS, 91(21.1%) ICH, and 18(4.2%) CVST. Among 23 patients with subarachnoid hemorrhage, 16(69.5%) had no evidence of aneurysm. A total of 183(42.4%) patients were women, 104(24.1%) patients were younger than 55 years, and 105(24.4%) patients had no identifiable vascular risk factors. Among 380 patients who had known interval onset of the SARS-CoV-2 and stroke, 144(37.8%) presented to the hospital with chief complaints of stroke-related symptoms, with asymptomatic or undiagnosed SARS-CoV-2 infection. Among AIS patients 44.5% had LVO; 10% had small artery occlusion according to the TOAST criteria. We observed a lower median NIHSS (8[3-17], versus 11 [5-17]; p=0.02) and higher rate of mechanical thrombectomy (12.4% versus 2%; p<0.001) in countries with middle to high-health expenditure when compared to countries with lower health expenditure. The unsupervised machine learning identified 4 subgroups, with a relatively large group with no or limited comorbidities. ConclusionsWe observed a relatively high number of young, and asymptomatic SARS-CoV-2 infections among stroke patients. Traditional vascular risk factors were absent among a relatively large cohort of patients. Among hospitalized patients, the stroke severity was lower and rate of mechanical thrombectomy was higher among countries with middle to high-health expenditure.

2.
Journal of Stroke ; : 130-140, 2020.
Article | WPRIM (Western Pacific) | ID: wpr-834637

ABSTRACT

Background@#and Purpose Although onset-to-treatment time is associated with early clinical recovery in acute ischemic stroke (AIS) patients treated with intravenous tissue plasminogen activator (tPA), the effect of the timing of tPA-induced recanalization on functional outcomes remains debatable. @*Methods@#We conducted a multicenter, prospective observational cohort study to determine whether early (within 1-hour from tPA-bolus) complete or partial recanalization assessed during 2-hour real-time transcranial Doppler monitoring is associated with improved outcomes in patients with proximal occlusions. Outcome events included dramatic clinical recovery (DCR) within 2 and 24-hours from tPA-bolus, 3-month mortality, favorable functional outcome (FFO) and functional independence (FI) defined as modified Rankin Scale (mRS) scores of 0–1 and 0–2 respectively. @*Results@#We enrolled 480 AIS patients (mean age 66±15 years, 60% men, baseline National Institutes of Health Stroke Scale score 15). Patients with early recanalization (53%) had significantly (P<0.001) higher rates of DCR at 2-hour (54% vs. 10%) and 24-hour (63% vs. 22%), 3-month FFO (67% vs. 28%) and FI (81% vs. 39%). Three-month mortality rates (6% vs. 17%) and distribution of 3-month mRS scores were significantly lower in the early recanalization group. After adjusting for potential confounders, early recanalization was independently associated with higher odds of 3-month FFO (odds ratio [OR], 6.19; 95% confidence interval [CI], 3.88 to 9.88) and lower likelihood of 3-month mortality (OR, 0.34; 95% CI, 0.17 to 0.67). Onset to treatment time correlated to the elapsed time between tPA-bolus and recanalization (unstandardized linear regression coefficient, 0.13; 95% CI, 0.06 to 0.19). @*Conclusions@#Earlier tPA treatment after stroke onset is associated with faster tPA-induced recanalization. Earlier onset-to-recanalization time results in improved functional recovery and survival in AIS patients with proximal intracranial occlusions.

3.
Article in English | WPRIM (Western Pacific) | ID: wpr-719296

ABSTRACT

BACKGROUND AND PURPOSE: This study aimed was to measure the quality of life, fatigue, stress, and depression in a consecutive sample of caregivers of multiple sclerosis (MS) patients. METHODS: We included data from 131 consecutive caregivers of MS patients [age=51.2±12.8 years (mean±SD), males=53.4%, duration of caregiving=10.0±6.3 years]. We assessed the quality of life, fatigue, stress, and depression of the caregivers using the 36-item Short Form Health Survey, Krupp Fatigue Severity Scale, Kingston Caregiver Stress Scale, and Hamilton Scale for Depression, respectively. The disability status of the patients was assessed using the Kurtzke Expanded Disability Status Scale. We used linear regression models to identify possible correlations between all of the aforementioned scales, while multivariable logistic regression models were employed to assess the correlations of caregiver fatigue with caregiver characteristics and patient disability. RESULTS: The linear regression analyses revealed that caregiver fatigue was positively associated with stress and negatively correlated with both physical health status and mental health status. Caregiver stress was positively associated with depression and negatively correlated with both physical health status and mental health status. Depression was negatively correlated with both caregiver physical health status and mental health status. In multivariable logistic regression analysis, caregiver fatigue was found to be independently associated with education status [odds ratio (OR)=0.61, 95% CI=0.37 to 0.99], history of chronic disease (OR=5.52, 95% CI=1.48 to 20.55), other chronic diseases in the family (OR=7.48, 95% CI=1.49 to 37.47), and the disability status of the patient (OR=1.36, 95% CI=1.03 to 1.80). CONCLUSIONS: Fatigue, stress, and depression in caregivers of MS patients are negatively correlated with their physical health status and mental health status. Caregiver fatigue is independently associated with education status, history of chronic disease, other chronic disease in the family, and patient disability.


Subject(s)
Humans , Anxiety , Caregivers , Chronic Disease , Depression , Education , Fatigue , Health Surveys , Linear Models , Logistic Models , Mental Health , Multiple Sclerosis , Quality of Life , Weights and Measures
4.
Journal of Stroke ; : 78-90, 2019.
Article in English | WPRIM (Western Pacific) | ID: wpr-740616

ABSTRACT

BACKGROUND AND PURPOSE: Although arbitrary blood pressure (BP) thresholds exist for acute ischemic stroke (AIS) patients eligible for intravenous thrombolysis (IVT), current international recommendations lack clarity on the impact of mean pre- and post-IVT BP levels on clinical outcomes. METHODS: Eligible studies involving IVT-treated AIS patients were identified that reported the association of mean systolic BP (SBP) or diastolic BP levels before and after IVT with the following outcomes: 3-month favorable functional outcome (modified Rankin Scale [mRS] scores of 0–1) and 3-month functional independence (mRS scores of 0–2), 3-month mortality and symptomatic intracranial hemorrhage (sICH). Unadjusted analyses of standardized mean differences and adjusted analyses of studies reporting odds ratios (ORadj) per 10 mm Hg BP increment were performed using random-effects models. RESULTS: We identified 26 studies comprising 56,513 patients. Higher pre- (P=0.02) and posttreatment (P=0.006) SBP levels were observed in patients with sICH. Patients with 3-month functional independence had lower post-treatment (P < 0.001) SBP whereas trended towards lower pre-treatment (P=0.06) SBP. In adjusted analyses, elevated pre- (ORadj, 1.08; 95% confidence interval [CI], 1.01 to 1.16) and post-treatment (ORadj, 1.13; 95% CI, 1.01 to 1.25) SBP levels were associated with increased likelihood of sICH. Increasing pre- (ORadj, 0.91; 95% CI, 0.84 to 0.98) and post-treatment (ORadj, 0.70; 95% CI, 0.57 to 0.87) SBP values were also related to lower odds of 3-month functional independence. CONCLUSIONS: We found that elevated BP levels adversely impact AIS outcomes in patients receiving IVT. Future randomized-controlled clinical trials will provide definitive data on the aforementioned association.


Subject(s)
Humans , Blood Pressure , Intracranial Hemorrhages , Mortality , Odds Ratio , Stroke , Thrombolytic Therapy
5.
Journal of Stroke ; : 302-311, 2019.
Article in English | WPRIM (Western Pacific) | ID: wpr-766261

ABSTRACT

BACKGROUND AND PURPOSE: Current guidelines do not provide firm directions on atrial fibrillation (AF) screening after ischemic stroke (IS). We sought to investigate the association of implantable cardiac monitoring (ICM) duration with the yield of AF detection in IS patients. METHODS: We included studies reporting AF detection rates by ICM in IS patients with negative initial AF screening. We excluded studies reporting prolonged cardiac monitoring with devices other than ICM, not providing AF detection rates or monitoring duration, and reporting overlapping data for the same population. The random-effects model was used for all pooled estimates and meta-regression analyses. RESULTS: We included 28 studies (4,531 patients, mean age 65 years). In meta-regression analyses, the proportion of AF detection by ICM was independently associated with monitoring duration (coefficient=0.015; 95% confidence interval [CI], 0.005 to 0.024) and mean patient age (coefficient=0.009; 95% CI, 0.003 to 0.015). No associations were detected with other patient characteristics, including IS subtype (cryptogenic vs. embolic stroke of undetermined source) or time from IS onset to CM implantation. In subgroup analyses, significant differences (P12 and ≤24 months: 26% [95% CI, 22% to 31%]; >24 months: 34% [95% CI, 29% to 39%]). CONCLUSIONS: Extended duration of ICM monitoring and increased patient age are factors that substantially increase AF detection in IS patients with initial negative AF screening.


Subject(s)
Humans , Atrial Fibrillation , Mass Screening , Stroke
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