1.Audiovestibular Loss of a Vascular Cause: A Distinction Should Be Made between Cochlear and Vestibular Symptoms.
Antonio PIRODDA ; Maria Chiara RAIMONDI ; Cristina BRANDOLINI
Journal of Stroke 2017;19(2):242-243
No abstract available.
2.How to Identify Patients at Risk of Silent Atrial Fibrillation after Cryptogenic Stroke: Potential Role of P Wave Dispersion.
Maurizio ACAMPA ; Pietro Enea LAZZERINI ; Giuseppe MARTINI
Journal of Stroke 2017;19(2):239-241
No abstract available.
Atrial Fibrillation*
;
Humans
;
Stroke*
3.Acute Ischemic Stroke in Nonconvulsive Status Epilepticus–Underestimated? Results from an Eight-Year Cohort Study.
Christopher TRAENKA ; Gian Marco De MARCHIS ; Lisa HERT ; David J SEIFFGE ; Alexandros POLYMERIS ; Nils PETERS ; Leo H BONATI ; Stefan ENGELTER ; Philippe LYRER ; Stephan RÜEGG ; Raoul SUTTER
Journal of Stroke 2017;19(2):236-238
No abstract available.
Cohort Studies*
;
Stroke*
4.Factors Influencing Oral Anticoagulant Prescribing Practices for Atrial Fibrillation.
Lester Y LEUNG ; Mark MCALLISTER ; Magdy SELIM ; Marc FISHER
Journal of Stroke 2017;19(2):232-235
No abstract available.
Atrial Fibrillation*
5.Simple Estimates of Symptomatic Intracranial Hemorrhage Risk and Outcome after Intravenous Thrombolysis Using Age and Stroke Severity.
Hye Jung LEE ; Ji Sung LEE ; Jay Chol CHOI ; Yong Jin CHO ; Beom Joon KIM ; Hee Joon BAE ; Dong Eog KIM ; Wi Sun RYU ; Jae Kwan CHA ; Dae Hyun KIM ; Hyun Wook NAH ; Kang Ho CHOI ; Joon Tae KIM ; Man Seok PARK ; Jeong Ho HONG ; Sung Il SOHN ; Kyusik KANG ; Jong Moo PARK ; Wook Joo KIM ; Jun LEE ; Dong Ick SHIN ; Min Ju YEO ; Kyung Bok LEE ; Jae Guk KIM ; Soo Joo LEE ; Byung Chul LEE ; Mi Sun OH ; Kyung Ho YU ; Tai Hwan PARK ; Juneyoung LEE ; Keun Sik HONG
Journal of Stroke 2017;19(2):229-231
No abstract available.
Intracranial Hemorrhages*
;
Stroke*
6.Blood Pressure May Be Associated with Arterial Collateralization in Anterior Circulation Ischemic Stroke before Acute Reperfusion Therapy.
Beisi JIANG ; Leonid CHURILOV ; Lasheta KANESAN ; Richard DOWLING ; Peter MITCHELL ; Qiang DONG ; Stephen DAVIS ; Bernard YAN
Journal of Stroke 2017;19(2):222-228
BACKGROUND AND PURPOSE: Leptomeningeal collaterals maintain arterial perfusion in acute arterial occlusion but may fluctuate subject to arterial blood pressure (ABP). We aim to investigate the relationship between ABP and collaterals as assessed by computer tomography (CT) perfusion in acute ischemic stroke. METHODS: We retrospectively analyzed acute anterior circulation ischemic stroke patients with CT perfusion from 2009 to 2014. Collateral status using relative filling time delay (rFTD) determined by time delay of collateral-derived contrast opacification within the Sylvian fissure, from 0 seconds to unlimited count. The data were analyzed by zero-inflated negative binomial regression model including an appropriate interaction examining in the model in terms of occlusion location and onset-to-CT time (OCT). RESULTS: Two hundred and seventy patients were included. We found that increment of 10 mm Hg in BP, the odds that a patient would have rFTD equal to 0 seconds increased by 27.9% in systolic BP (SBP) (p=0.001), by 73.9% in diastolic BP (DBP) (p<0.001) and by 68.5% in mean BP (MBP) (p<0.001). For patients with rFTD not necessarily equal to 0 seconds, every 10 mm Hg increase in BP, there was a 7% decrease in expected count of seconds for rFTD in SBP (p=0.002), 10% decrease for rFTD in DBP and 11% decrease for rFTD in MBP. The arterial occlusion location and OCT showed no significant interaction in the BP-rFTD relationship (p>0.05). CONCLUSIONS: In acute ischemic stroke, higher ABP is possibly associated with improved leptomeningeal collaterals as identified by decreased rFTD.
Arterial Pressure
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Blood Pressure*
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Humans
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Perfusion
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Reperfusion*
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Retrospective Studies
;
Stroke*
7.Association of Optimal Combination Drug Treatment with Obesity Status among Recent Ischemic Stroke Patients: Results of the Vitamin Intervention for Stroke Prevention (VISP) Trial.
Jong Ho PARK ; Juneyoung LEE ; Bruce OVBIAGELE
Journal of Stroke 2017;19(2):213-221
BACKGROUND AND PURPOSE: One explanation for the ‘obesity paradox’, where obese patients seem to have better cardiovascular outcomes than lean patients, is that obese patients display an identifiable high cardiovascular risk phenotype that may lead to receiving or seeking earlier/more aggressive treatment. METHODS: We analyzed a clinical trial dataset comprising 3643 recent (<120 days) ischemic stroke patients followed up for 2 years. Subjects were categorized as lean (body mass index [BMI], <25 kg/m², n=1,006), overweight (25-29.9 kg/m², n=1,493), or obese (≥30 kg/m², n=1,144). Subjects were classified as level 0 to III depending on the number of secondary prevention prescriptions divided by the number of potentially indicated drugs (0=none of the indicated medications and III=all indicated medications as optimal combination drug treatment [OCT]). Independent associations between each BMI category and stroke/myocardial infarction/vascular death (major vascular events [MVEs]) and all-cause death were assessed. RESULTS: MVEs occurred in 17.4% of lean, 16.1% of overweight, and 17.1% of obese patients; death occurred in 7.3%, 5.5%, and 5.1%, respectively. Individuals with a higher BMI status received more OCT (45.8%, 51.7%, and 55.3%, respectively; P<0.001). In the lean patient group, multivariable adjusted Cox analyses, showed that compared with levels 0-I, level II and level III were linked to lower risk of MVEs (hazard ratio [HR] 0.55; 95% confidence interval [CI]: 0.32–0.95 and HR 0.48; 95% CI: 0.28−0.83, respectively) and death (0.44; 0.21–0.96 and 0.23; 0.10−0.54, respectively). CONCLUSIONS: OCT for secondary prevention after an ischemic stroke is less frequent in lean (vs. obese) subjects, but when implemented is related to significantly better clinical outcomes.
Body Mass Index
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Dataset
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Humans
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Obesity*
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Overweight
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Phenotype
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Prescriptions
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Secondary Prevention
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Stroke*
;
Vitamins*
8.Nationwide “Hospital Emergent Capability Accreditation by Level-Stroke” Improves Stroke Treatment in Taiwan.
Tain Junn CHENG ; Giia Sheun PENG ; Wei Siang JHAO ; Jiunn Tay LEE ; Tsung Hsi WANG
Journal of Stroke 2017;19(2):205-212
BACKGROUND AND PURPOSE: Recombinant tissue plasminogen activator (rtPA) is one of the proven therapies that improve the outcome of patients with acute ischemic stroke (AIS). In 2009, the Ministry of Health and Welfare, Executive Yuan, Republic of China, launched the project “Hospital Emergent Capability Accreditation by Level-Stroke (HECAL-Stroke)” to improve AIS treatment in Taiwan. The current study was performed to determine whether the project launched by the government was effective in promoting rtPA therapy among AIS patients. METHODS: All participating hospitals were verified and designated as “heavy duty (HD),”“moderate duty (MoD),” or “medium duty (MeD)” according to the stroke center criteria. Four annual indices (rates of treatment, protocol adherence, in-time treatment, and complications) were recorded from 2009 to 2014 as outcome measures. The data were analyzed using the χ² test for significance. RESULTS: The number of certified hospitals progressively increased from 74 to 112 during the 6-year period and finally consisted of 33 HD, 9 MoD and 70 MeD hospitals in 2014. The annual intravenous rtPA treatment rate increased significantly from 3.0% in 2009 to 4.5% in 2014. The protocol adherence rates were 95.7% in the HD group, 92.4% in the MoD group and 72.8% in the MeD group. The annual in-time treatment rate significantly improved from 26.0% in 2009 to 60.1% in 2014. The overall symptomatic intracranial hemorrhagic rate after rtPA treatment was 8.6%. CONCLUSIONS: Initiation of the HECAL-Stroke project by the government significantly improved rtPA treatment in Taiwan.
Accreditation*
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Humans
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Outcome Assessment (Health Care)
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Stroke*
;
Taiwan*
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Tissue Plasminogen Activator
9.Multidisciplinary Approach to Decrease In-Hospital Delay for Stroke Thrombolysis.
Sang Beom JEON ; Seung Mok RYOO ; Deok Hee LEE ; Sun U KWON ; Seongsoo JANG ; Eun Jae LEE ; Sang Hun LEE ; Jung Hee HAN ; Mi Jeong YOON ; Soo JEONG ; Young Uk CHO ; Sungyang JO ; Seung Bok LIM ; Joong Goo KIM ; Han Bin LEE ; Seung Chai JUNG ; Kye Won PARK ; Min Hwan LEE ; Dong Wha KANG ; Dae Chul SUH ; Jong S KIM
Journal of Stroke 2017;19(2):196-204
BACKGROUND AND PURPOSE: Decreasing the time delay for thrombolysis, including intravenous thrombolysis (IVT) with tissue plasminogen activator and intra-arterial thrombectomy (IAT), is critical for decreasing the morbidity and mortality of patients experiencing acute stroke. We aimed to decrease the in-hospital delay for both IVT and IAT through a multidisciplinary approach that is feasible 24 h/day. METHODS: We implemented the Stroke Alert Team (SAT) on May 2, 2016, which introduced hospital-initiated ambulance prenotification and reorganized in-hospital processes. We compared the patient characteristics, time for each step of the evaluation and thrombolysis, thrombolysis rate, and post-thrombolysis intracranial hemorrhage from January 2014 to August 2016. RESULTS: A total of 245 patients received thrombolysis (198 before SAT; 47 after SAT). The median door-to-CT, door-to-MRI, and door-to-laboratory times decreased to 13 min, 37.5 min, and 8 min, respectively, after SAT implementation (P<0.001). The median door-to-IVT time decreased from 46 min (interquartile range [IQR] 36–57 min) to 20.5 min (IQR 15.8–32.5 min; P<0.001). The median door-to-IAT time decreased from 156 min (IQR 124.5–212.5 min) to 86.5 min (IQR 67.5–102.3 min; P<0.001). The thrombolysis rate increased from 9.8% (198/2,012) to 15.8% (47/297; P=0.002), and the post-thrombolysis radiological intracranial hemorrhage rate decreased from 12.6% (25/198) to 2.1% (1/47; P=0.035). CONCLUSIONS: SAT significantly decreased the in-hospital delay for thrombolysis, increased thrombolysis rate, and decreased post-thrombolysis intracranial hemorrhage. Time benefits of SAT were observed for both IVT and IAT and during office hours and after-hours.
Ambulances
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Cerebral Infarction
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Humans
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Intracranial Hemorrhages
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Mortality
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Stroke*
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Thrombectomy
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Thrombolytic Therapy
;
Tissue Plasminogen Activator
10.Family History and Stroke Risk in China: Evidence from a Large Cohort Study.
Tian TIAN ; Guangfu JIN ; Canqing YU ; Jun LV ; Yu GUO ; Zheng BIAN ; Ling YANG ; Yiping CHEN ; Hongbing SHEN ; Zhengming CHEN ; Zhibin HU ; Liming LI
Journal of Stroke 2017;19(2):188-195
BACKGROUND AND PURPOSE: Large cohort studies on relationship between family history of stroke (FHS) and stroke risk are lacking in Asians. We aimed to systematically evaluate the association of FHS with stroke risk in a cohort study of 0.5 million Chinese adults. METHODS: Information about FHS was self-reported. The median follow-up time was 7.16 years and the end-point of follow-up was incident stroke, which was entered directly into the China Kadoorie Biobank system. Multivariate analyses were performed with Cox proportional hazards model, and interaction analyses were carried using likelihood-ratio tests. RESULTS: Compared with participants without FHS, the hazard ratio (HR) (95% confidence interval, CI) of stroke for participants with FHS was 1.50 (1.46-1.55). The HRs increased with the number of first degree relatives with stroke (HRs=1.41, 1.98 and 2.47 for 1, 2 and ≥3 relatives, respectively, P(trend) <0.001). The HRs were 1.57 (95% CI: 1.50-1.66) and 1.49 (95% CI: 1.45-1.54) for sibling history and parental history, respectively. Similar associations with offspring stroke risk were observed between paternal history (HR=1.48, 95% CI: 1.43-1.54) and maternal history (HR=1.49, 95% CI: 1.43-1.55). Moreover, significant interactions were detected between FHS and health-risk behaviors (tobacco smoking and alcohol drinking). CONCLUSIONS: FHS is an independent risk factor for stroke in Chinese. The more first degree relatives are affected by stroke, the higher are individuals’ risk of suffering from stroke. The management of the health-risk behaviors for reducing stroke should be highlighted, especially for the individuals with FHS.
Adult
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Asian Continental Ancestry Group
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China*
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Cohort Studies*
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Follow-Up Studies
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Humans
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Multivariate Analysis
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Parents
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Proportional Hazards Models
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Risk Factors
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Siblings
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Smoke
;
Smoking
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Stroke*