1
|
Kim A, Kwon JH, Lee CH, Kim WJ. Brain lesion and echocardiogenic predictors of newly detected atrial fibrillation in acute ischemic stroke. Clin Neurol Neurosurg 2024; 246:108581. [PMID: 39378708 DOI: 10.1016/j.clineuro.2024.108581] [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: 06/17/2024] [Revised: 09/26/2024] [Accepted: 09/30/2024] [Indexed: 10/10/2024]
Abstract
OBJECTIVES Atrial fibrillation (AF) is one of the notorious risk factors in acute ischemic stroke (AIS), and the use of anticoagulants has been shown to be effective in preventing ischemic stroke in AF patients. Therefore, identifying AF in AIS patients has become increasingly important. However, the impact of brain imaging and cardiac indices on the development of new AF after stroke remains unclear. METHODS A consecutive series of AIS patients who were admitted to the Ulsan University Hospital between January 2013 and December 2019 were identified. Patients with relevant ischemic brain lesions on MRI were included, and those without echocardiography data were excluded. We included and classified the AF patients who had the disease prior to or during hospitalization or met the criteria for cryptogenic stroke (CS). Differences in baseline characteristics, stroke risk factors, stroke severity, insular lesion, and echocardiographic data were investigated among each group. RESULTS A total of 850 patients were enrolled in the study, comprising 231 patients with AF detected after stroke (AFDAS), 287 patients with known AF (KAF), and 350 patients with CS. Compared with KAF, patients with AFDAS had a lower prevalence of underlying coronary heart disease and stroke history. They had greater right insular cortex lesions and lesser left atrial enlargement in unadjusted analysis. Following adjusted analysis, the involvement of the right insular cortex was found to be associated with the AFDAS patient group (odds ratio, 1.57). When compared to the CS group, AFDAS patients were older, experienced more severe initial strokes, and had similar rates of pre-stroke anticoagulation prescription. Additionally, they demonstrated a higher prevalence of both insular lesions, increased left atrium volume index, reduced ejection fraction, and elevated e/e' ratio. After adjustment, age, initial stroke severity, insular involvement, left atrium volume index, ejection fraction, and e/e' ratio were found to be significant. CONCLUSIONS These results suggest that the right insular cortex lesion on acute stroke may be a cause of AFDAS.
Collapse
Affiliation(s)
- Ahro Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Jee Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Chan-Hyuk Lee
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
| |
Collapse
|
2
|
Kim H, Kim JT, Lee JS, Kim BJ, Kang J, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee K, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Ryu WS, Park KY, Lee J, Saver JL, Bae HJ. Impact of non-traditional lipid profiles on 1-year vascular outcomes in ischemic stroke patients with prior statin therapy and LDL-C < 100 mg/dL. Sci Rep 2024; 14:22794. [PMID: 39354143 PMCID: PMC11448496 DOI: 10.1038/s41598-024-73851-5] [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: 06/12/2024] [Accepted: 09/20/2024] [Indexed: 10/03/2024] Open
Abstract
This study aimed to investigate the association between non-traditional lipid profiles and the risk of 1-year vascular events in patients who were already using statins before stroke and had admission LDL-C < 100 mg/dL. This study was an analysis of a prospective, multicenter, nationwide registry of consecutive patients with acute ischemic stroke patients who treated with statin before index stroke and LDL-C < 100 mg/dL on admission. Non-traditional lipid profiles including non-HDL, TC/HDL ratio, LDL/HDL ratio, and TG/HDL ratio were analyzed as a continuous or categorical variable. The primary vascular outcome within one year was a composite of recurrent stroke (either hemorrhagic or ischemic), myocardial infarction (MI) and all-cause mortality. Hazard ratios (95% Cis) for 1-year vascular outcomes were analyzed using the Cox PH model for each non-traditional lipid profiles groups. A total of 7028 patients (age 70.3 ± 10.8years, male 59.8%) were finally analyzed for the study. In unadjusted analysis, no significant associations were observed in the quartiles of LDL/HDL ratio and 1-year primary outcome. However, after adjustment of relevant variables, compared with Q1 of the LDL/HDL ratio, Q4 was significantly associated with increasing the risk of 1-year primary outcome (HR 1.48 [1.19-1.83]). For the LDL/HDL ratio, a linear relationship was observed (P for linearity < 0.001). Higher quartiles of the LDL/HDL ratio were significantly and linearly associated with increasing the risk of 1-year primary vascular outcomes. These findings suggest that even during statin therapy with LDL-C < 100 mg/dl on admission, there should be consideration for residual risk based on the LDL/HDL ratio, following stroke.
Collapse
Affiliation(s)
- Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju, 61469, South Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju, 61469, South Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, South Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, South Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, South Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, South Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, South Korea
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, South Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, South Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, South Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, South Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, South Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, South Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, South Korea
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju, 61469, South Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc., Seoul, South Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University College of Medicine, Chung-Ang University Hospital, Seoul, South Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea.
- Department of Neurology, Cerebrovascular Disease Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
| |
Collapse
|
3
|
Gwak DS, Ryu WS, Schellingerhout D, Chung J, Kim HR, Jeong SW, Kim BJ, Kim JT, Hong KS, Park JM, Park MS, Choi KH, Park TH, Lee K, Park SS, Kang K, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Lee SJ, Kim JG, Cha JK, Kim DH, Lee J, Han MK, Lee JS, Bae HJ, Kim DE. Effects of white matter hyperintensity burden on functional outcome after mild versus moderate-to-severe ischemic stroke. Sci Rep 2024; 14:22567. [PMID: 39343768 PMCID: PMC11439954 DOI: 10.1038/s41598-024-71936-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 09/02/2024] [Indexed: 10/01/2024] Open
Abstract
It is uncertain whether the prognostic power of white matter hyperintensity (WMH) on post-stroke outcomes is modulated as a function of initial neurological severity, a critical determinant of outcome after stroke. This multi-center MRI study tested if higher WMH quintiles were associated with 3-month poor functional outcome (modified Rankin Scale ≥ 3) for mild versus moderate-to-severe ischemic stroke. Mild and moderate-to-severe stroke were defined as admission National Institute of Health Stroke Scale scores of 1-4 and ≥ 5, respectively. Mean age of the enrolled patients (n = 8918) was 67.2 ± 12.6 years and 60.1% male. The association between WMH quintiles and poor functional outcome was modified by stroke severity (p-for-interaction = 0.008). In mild stroke (n = 4994), WMH quintiles associated with the 3-month outcome in a dose-dependent manner for the 2nd to 5th quintile versus the 1st quintile, with adjusted-odds-ratios (aOR [95% confidence interval]) being 1.29 [0.96-1.73], 1.37 [1.02-1.82], 1.60 [1.19-2.13], and 1.89 [1.41-2.53], respectively. In moderate-to-severe stroke (n = 3924), however, there seemed to be a threshold effect: only the highest versus the lowest WMH quintile was significantly associated with poor functional outcome (aOR 1.69 [1.29-2.21]). WMH burden aggravates 3-month functional outcome after mild stroke, but has a lesser modulatory effect for moderate-to-severe stroke, likely due to saturation effects.
Collapse
Affiliation(s)
- Dong-Seok Gwak
- Department of Neurology, Dongguk University Ilsan Hospital, 52-6 Dongguk-Ro, Ilsandong-Gu, Goyang-si, Gyeonggi-do, 10326, Republic of Korea
- National Priority Research Center for Stroke, Goyang, Republic of Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Dawid Schellingerhout
- Departments of Neuroradiology and Imaging Physics (D.S.), University of Texas MD Anderson Cancer Center, Houston, USA
| | - Jinyong Chung
- National Priority Research Center for Stroke, Goyang, Republic of Korea
| | - Hang-Rai Kim
- Department of Neurology, Dongguk University Ilsan Hospital, 52-6 Dongguk-Ro, Ilsandong-Gu, Goyang-si, Gyeonggi-do, 10326, Republic of Korea
- National Priority Research Center for Stroke, Goyang, Republic of Korea
| | - Sang-Wuk Jeong
- Department of Neurology, Dongguk University Ilsan Hospital, 52-6 Dongguk-Ro, Ilsandong-Gu, Goyang-si, Gyeonggi-do, 10326, Republic of Korea
- National Priority Research Center for Stroke, Goyang, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Seoul, Republic of Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Daejeon, Republic of Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Daejeon, Republic of Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Republic of Korea
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Ji Sung Lee
- Department of Biostatistics, Asan Medical Center, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, 52-6 Dongguk-Ro, Ilsandong-Gu, Goyang-si, Gyeonggi-do, 10326, Republic of Korea.
- National Priority Research Center for Stroke, Goyang, Republic of Korea.
| |
Collapse
|
4
|
Chung HI, Lee Y, Yoon BA, Kim DH, Cha JK, Lee S. Delayed door to puncture time during off-duty hours is associated with unfavorable outcomes after mechanical thrombectomy in the early window of acute ischemic stroke. BMC Neurol 2024; 24:357. [PMID: 39342130 PMCID: PMC11438392 DOI: 10.1186/s12883-024-03874-y] [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: 04/25/2024] [Accepted: 09/20/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUNDS The impact of off-duty hours mechanical thrombectomy on outcomes remains a subject of controversy. The impacts of off-duty hours on procedures are influenced by various factors, but the most critical one is the time delay in initiating the procedure after the patient's arrival at the emergency room. Recently, a report suggested that the impact of time delay on post-procedural outcomes is evident in patients who arrive at the emergency room within 6 h of symptom onset, referred to as the "early window." We hypothesized that the impact of procedure delays on outcomes during off duty-hours would be most significant within this early window. This study aimed to investigate the impact of door-to-puncture time (DTPT) delays in patients who underwent mechanical thrombectomy for acute ischemic stroke (AIS) during off-duty hours in both the early and late time windows. METHODS We investigated patients who presented to the emergency center between 2014 and 2022. Among a total of 6,496 AIS patients, we selected those who underwent mechanical thrombectomy within 24 h of the onset of acute anterior circulation occlusion. The eligible patients were divided into two groups: those who arrived within 6 h of symptom onset and received the procedure within 8 h (early window), and those who received the procedure between 8 h and 24 h after symptom onset (late window). The study assessed the association between the onset to puncture time in each group and poor outcomes, measured by the modified Rankin scores(mRs) at 90 days. Furthermore, the study analyzed the impact of receiving the procedure during off-hours in both the early and late windows on outcomes. Specifically, the analysis focused on the impact of delayed DTPT in patients during off-duty hours on outcomes measured by the 90-days mRS. RESULTS Among the eligible patients, a total of 501 AIS patients underwent mechanical thrombectomy for acute anterior circulation occlusion within 24 h. Of these, 395 patients (78.8%) fell into the early window category, and 320 patients (63.9%) underwent the procedure during off-duty hours. In the early window, for every 60-minute increase in OTPT, the probability of occurrence a poor outcome at 90 days significantly increased in the fully adjusted model (OR = 1.21; 95% CI, 1.02 to 1.43; p = 0.03). In the early window, delayed procedures during off-duty hours (exceeding 103 min of DTPT) were identified as an independent predictor of poor outcomes (OR = 1.85; 95% CI, 1.05 to 3.24; p = 0.03). However, in the late window, there was no association between DTPT and outcomes at 90 days, and the impact of DTPT delays during off-hours was not observed. CONCLUSIONS Through this study, it became evident that the impacts of off-duty hours in mechanical thrombectomy were most pronounced in the early window, where the impact of time delay was clear. Therefore, it is believed that improvements in the treatment system are necessary to address this issue.
Collapse
Affiliation(s)
- Hye-In Chung
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Yoonkyung Lee
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Byeol-A Yoon
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Dae-Hyun Kim
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Jae-Kwan Cha
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea.
| | - Seungho Lee
- Department of Preventive Medicine, College of Medicine, Dong-A University, Busan, Republic of Korea
| |
Collapse
|
5
|
Kim JG, Ha SY, Kang YR, Hong H, Kim D, Lee M, Sunwoo L, Ryu WS, Kim JT. Automated detection of large vessel occlusion using deep learning: a pivotal multicenter study and reader performance study. J Neurointerv Surg 2024:jnis-2024-022254. [PMID: 39304193 DOI: 10.1136/jnis-2024-022254] [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: 07/17/2024] [Accepted: 09/06/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND To evaluate the stand-alone efficacy and improvements in diagnostic accuracy of early-career physicians of the artificial intelligence (AI) software to detect large vessel occlusion (LVO) in CT angiography (CTA). METHODS This multicenter study included 595 ischemic stroke patients from January 2021 to September 2023. Standard references and LVO locations were determined by consensus among three experts. The efficacy of the AI software was benchmarked against standard references, and its impact on the diagnostic accuracy of four residents involved in stroke care was assessed. The area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity of the software and readers with versus without AI assistance were calculated. RESULTS Among the 595 patients (mean age 68.5±13.4 years, 56% male), 275 (46.2%) had LVO. The median time interval from the last known well time to the CTA was 46.0 hours (IQR 11.8-64.4). For LVO detection, the software demonstrated a sensitivity of 0.858 (95% CI 0.811 to 0.897) and a specificity of 0.969 (95% CI 0.943 to 0.985). In subjects whose symptom onset to imaging was within 24 hours (n=195), the software exhibited an AUROC of 0.973 (95% CI 0.939 to 0.991), a sensitivity of 0.890 (95% CI 0.817 to 0.936), and a specificity of 0.965 (95% CI 0.902 to 0.991). Reading with AI assistance improved sensitivity by 4.0% (2.17 to 5.84%) and AUROC by 0.024 (0.015 to 0.033) (all P<0.001) compared with readings without AI assistance. CONCLUSIONS The AI software demonstrated a high detection rate for LVO. In addition, the software improved diagnostic accuracy of early-career physicians in detecting LVO, streamlining stroke workflow in the emergency room.
Collapse
Affiliation(s)
- Jae Guk Kim
- Department of Neurology, Daejeon Eulji University Hospital, Daejeon, Daejeon, Korea
| | - Sue Young Ha
- Artificial Intelligence Research Center, JLK Inc, Seoul, Korea
| | - You-Ri Kang
- Department of Neurology, Chonnam National University Medical School, Gwangju, Korea
| | - Hotak Hong
- Artificial Intelligence Research Center, JLK Inc, Seoul, Korea
| | - Dongmin Kim
- Artificial Intelligence Research Center, JLK Inc, Seoul, Korea
| | - Myungjae Lee
- Artificial Intelligence Research Center, JLK Inc, Seoul, Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc, Seoul, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju, Korea
| |
Collapse
|
6
|
Huang YC, Tsai YH, Lin LC, Weng HH, Lee JD, Yang JT. Preliminary results on temporal evolution and clinical implications of atherosclerotic plaque in branch atheromatous disease after statin treatment. Ther Adv Neurol Disord 2024; 17:17562864241273902. [PMID: 39314261 PMCID: PMC11418250 DOI: 10.1177/17562864241273902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 07/18/2024] [Indexed: 09/25/2024] Open
Abstract
Background Branch atheromatous disease (BAD) is a primary cause of early neurological deterioration (END) in penetrating artery occlusion, leading to poor functional outcomes. While it has been proposed to classify BAD under large artery atherosclerosis, uncertainty exists regarding the optimal treatment strategy, including cholesterol-lowering targets. Objectives We aimed to assess the clinical implications and temporal changes of atherosclerotic plaques before and after high-intensity statin treatment. Design This is a high-resolution vessel-wall imaging sub-analysis of the trial of Statin and Dual Antiplatelet Therapy in Preventing Early Neurological Deterioration in Branch Atheromatous Disease (SATBRAD). Methods In this prospective, single-group cohort study, participants in the treatment arm of the SATBRAD trial received early dual antiplatelet therapy and high-intensity statin treatment. The majority of these participants subsequently underwent high-resolution vessel-wall magnetic resonance imaging (MRI). Those with atheromatous plaques in the parent artery continued high-intensity statin treatment for 6 months, followed by a repeat MRI to monitor plaque changes. Results There were 57 patients who underwent vessel-wall imaging and 24 exhibited contrast-enhanced plaques. Patients with contrast-enhanced plaques showed higher rates of END (29.2% vs 6.1%, p = 0.027), perfusion defects (62.5% vs 24.2%, p = 0.004), and lower rates of good outcomes at 3 months (50.0% vs 81.8%, p = 0.011). After adjusting for confounding factors, contrast-enhanced plaque had a negative impact on achieving a good outcome at 3 months (adjusted odds ratio = 0.04; 95% confidence interval = <0.01-0.60). Following high-intensity statin treatment in 36 patients, there was a notable reduction in stenosis (33.7% vs 29.3%, p = 0.005) and contrast-enhanced plaque volume (16.3 vs 11.6 mm3, p = 0.015). Conclusion The study highlighted the association between contrast-enhanced atherosclerotic plaques, END, and poor functional outcomes, with high-intensity treatment leading to plaque volume reduction. These results underscore the shared pathology between BAD and intracranial atherosclerosis, emphasizing the necessity for further research and tailored treatment strategies for BAD. Trial registration ClinicalTrials.gov; Identifier: NCT04824911 (https://clinicaltrials.gov/study/NCT04824911).
Collapse
Affiliation(s)
- Yen-Chu Huang
- Department of Neurology, Chang Gung Memorial Hospital, Chang-Gung University College of Medicine, No. 6 West Chia-Pu Road, Putz City, Chiayi County 613, Taiwan
| | - Yuan-Hsiung Tsai
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University College of Medicine, Chiayi, Taiwan
| | - Leng-Chieh Lin
- Department of Emergency Medicine, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University College of Medicine, Chiayi, Taiwan
| | - Hsu-Huei Weng
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University College of Medicine, Chiayi, Taiwan
| | - Jiann-Der Lee
- Department of Neurology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University College of Medicine, Chiayi, Taiwan
| | - Jen-Tsung Yang
- Department of Neurosurgery, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University College of Medicine, Chiayi, Taiwan
| |
Collapse
|
7
|
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.
Collapse
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.
| |
Collapse
|
8
|
Lee M, Suh CH, Sohn JH, Kim C, Han SW, Sung JH, Yu KH, Lim JS, Lee SH. Impact of white matter hyperintensity volumes estimated by automated methods using deep learning on stroke outcomes in small vessel occlusion stroke. Front Aging Neurosci 2024; 16:1399457. [PMID: 38974905 PMCID: PMC11224430 DOI: 10.3389/fnagi.2024.1399457] [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: 03/12/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Introduction Although white matter hyperintensity (WMH) shares similar vascular risk and pathology with small vessel occlusion (SVO) stroke, there were few studies to evaluate the impact of the burden of WMH volume on early and delayed stroke outcomes in SVO stroke. Materials and methods Using a multicenter registry database, we enrolled SVO stroke patients between August 2013 and November 2022. The WMH volume was estimated by automated methods using deep learning (VUNO Med-DeepBrain, Seoul, South Korea), which was a commercially available segmentation model. After propensity score matching (PSM), we evaluated the impact of WMH volume on early neurological deterioration (END) and poor functional outcomes at 3-month modified Ranking Scale (mRS), defined as mRS score >2 at 3 months, after an SVO stroke. Results Among 1,718 SVO stroke cases, the prevalence of subjects with severe WMH (Fazekas score ≥ 3) was 68.9%. After PSM, END and poor functional outcomes at 3-month mRS (mRS > 2) were higher in the severe WMH group (END: 6.9 vs. 13.5%, p < 0.001; 3-month mRS > 2: 11.4 vs. 24.7%, p < 0.001). The logistic regression analysis using the PSM cohort showed that total WMH volume increased the risk of END [odd ratio [OR], 95% confidence interval [CI]; 1.01, 1.00-1.02, p = 0.048] and 3-month mRS > 2 (OR, 95% CI; 1.02, 1.01-1.03, p < 0.001). Deep WMH was associated with both END and 3-month mRS > 2, but periventricular WMH was associated with 3-month mRS > 2 only. Conclusion This study used automated methods using a deep learning segmentation model to assess the impact of WMH burden on outcomes in SVO stroke. Our findings emphasize the significance of WMH burden in SVO stroke prognosis, encouraging tailored interventions for better patient care.
Collapse
Affiliation(s)
- Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jong-Hee Sohn
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Sang-Won Han
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Joo Hye Sung
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| |
Collapse
|
9
|
Kim PE, Yang H, Kim D, Sunwoo L, Kim CK, Kim BJ, Kim JT, Ryu WS, Kim HS. Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography. Stroke 2024; 55:1609-1618. [PMID: 38787932 PMCID: PMC11122774 DOI: 10.1161/strokeaha.123.045772] [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: 11/09/2023] [Revised: 03/27/2024] [Accepted: 04/11/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Early identification of large vessel occlusion (LVO) in patients with ischemic stroke is crucial for timely interventions. We propose a machine learning-based algorithm (JLK-CTL) that uses handcrafted features from noncontrast computed tomography to predict LVO. METHODS We included patients with ischemic stroke who underwent concurrent noncontrast computed tomography and computed tomography angiography in seven hospitals. Patients from 5 of these hospitals, admitted between May 2011 and March 2015, were randomly divided into training and internal validation (9:1 ratio). Those from the remaining 2 hospitals, admitted between March 2021 and September 2021, were designated for external validation. From each noncontrast computed tomography scan, we extracted differences in volume, tissue density, and Hounsfield unit distribution between bihemispheric regions (striatocapsular, insula, M1-M3, and M4-M6, modified from the Alberta Stroke Program Early Computed Tomography Score). A deep learning algorithm was used to incorporate clot signs as an additional feature. Machine learning models, including ExtraTrees, random forest, extreme gradient boosting, support vector machine, and multilayer perceptron, as well as a deep learning model, were trained and evaluated. Additionally, we assessed the models' performance after incorporating the National Institutes of Health Stroke Scale scores as an additional feature. RESULTS Among 2919 patients, 83 were excluded. Across the training (n=2463), internal validation (n=275), and external validation (n=95) datasets, the mean ages were 68.5±12.4, 67.6±13.8, and 67.9±13.6 years, respectively. The proportions of men were 57%, 53%, and 59%, with LVO prevalences of 17.0%, 16.4%, and 26.3%, respectively. In the external validation, the ExtraTrees model achieved a robust area under the curve of 0.888 (95% CI, 0.850-0.925), with a sensitivity of 80.1% (95% CI, 72.0-88.1) and a specificity of 88.6% (95% CI, 84.7-92.5). Adding the National Institutes of Health Stroke Scale score to the ExtraTrees model increased sensitivity (from 80.1% to 92.1%) while maintaining specificity. CONCLUSIONS Our algorithm provides reliable predictions of LVO using noncontrast computed tomography. By enabling early LVO identification, our algorithm has the potential to expedite the stroke workflow.
Collapse
Affiliation(s)
- Pyeong Eun Kim
- Artificial Intelligence Research Center, JLK Inc, Seoul, Republic of Korea (P.E.K., H.Y., D.K., W.-S.R.)
| | - Hyojung Yang
- Artificial Intelligence Research Center, JLK Inc, Seoul, Republic of Korea (P.E.K., H.Y., D.K., W.-S.R.)
- Department of Computer Science and Technology, University of Cambridge, United Kingdom (H.Y.)
| | - Dongmin Kim
- Artificial Intelligence Research Center, JLK Inc, Seoul, Republic of Korea (P.E.K., H.Y., D.K., W.-S.R.)
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University College of Medicine, Republic of Korea (L.S.)
- Department of Radiology (L.S.), Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea (C.K.K.)
| | - Beom Joon Kim
- Department of Neurology (B.J.K.), Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea (J.-T.K.)
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc, Seoul, Republic of Korea (P.E.K., H.Y., D.K., W.-S.R.)
| | - Ho Sung Kim
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles (H.S.K.)
| |
Collapse
|
10
|
Kim J, Lee JS, Kim H, Kim BJ, Lee K, Park J, Kang K, Lee SJ, Kim JG, Cha J, Kim D, Park TH, Lee K, Lee J, Hong K, Cho Y, Park H, Lee B, Yu K, Oh MS, Kim D, Choi JC, Kwon J, Kim W, Shin D, Yum KS, Sohn SI, Hong J, Lee S, Park M, Ryu W, Park K, Lee J, Saver JL, Bae H. Trends in Dual Antiplatelet Therapy of Aspirin and Clopidogrel and Outcomes in Ischemic Stroke Patients Noneligible for POINT/CHANCE Trial Treatment. J Am Heart Assoc 2024; 13:e033611. [PMID: 38761083 PMCID: PMC11179811 DOI: 10.1161/jaha.123.033611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/15/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Recent clinical trials established the benefit of dual antiplatelet therapy with aspirin and clopidogrel (DAPT-AC) in early-presenting patients with minor ischemic stroke. However, the impact of these trials over time on the use and outcomes of DAPT-AC among the patients with nonminor or late-presenting stroke who do not meet the eligibility criteria of these trials has not been delineated. METHODS AND RESULTS In a multicenter stroke registry, this study examined yearly changes from April 2008 to August 2022 in DAPT-AC use for stroke patients ineligible for CHANCE/POINT (Clopidogrel in High-Risk Patients with Acute Nondisabling Cerebrovascular Events/Platelet-Oriented Inhibition in New TIA and Minor Ischemic Stroke) clinical trials due to National Institutes of Health Stroke Scale >4 or late arrival beyond 24 hours of onset. A total of 32 118 patients (age, 68.1±13.1 years; male, 58.5%) with National Institutes of Health Stroke Scale of 4 (interquartile range, 1-7) were analyzed. In 2008, DAPT-AC was used in 33.0%, other antiplatelets in 62.7%, and no antiplatelet in 4.3%. The frequency of DAPT-AC was relatively unchanged through 2013, when the CHANCE trial was published, and then increased steadily, reaching 78% in 2022, while other antiplatelets decreased to 17.8% in 2022 (Ptrend<0.001). From 2011 to 2022, clinical outcomes nonsignificantly improved, with an average relative risk reduction of 2%/y for the composite of stroke, myocardial infarction, and all-cause mortality, both among patients treated with DAPT-AC and patients treated with other antiplatelets. CONCLUSIONS Use of DAPT-AC in stroke patients with stroke ineligible for recent DAPT clinical trials increased markedly and steadily after CHANCE publication in 2013, reaching deployment in nearly 4 of every 5 patients by 2022. The secondary prevention in patients with ischemic stroke seems to be gradually improving, possibly due to the enhancement of risk factor control.
Collapse
Affiliation(s)
- Joon‐Tae Kim
- Department of Neurology, Chonnam National University HospitalChonnam National University Medical SchoolGwangjuKorea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulKorea
| | - Hyunsoo Kim
- Department of Neurology, Chonnam National University HospitalChonnam National University Medical SchoolGwangjuKorea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular CenterSeoul National University Bundang HospitalSeongnamKorea
| | - Keon‐Joo Lee
- Department of NeurologyKorea University Guro HospitalSeoulKorea
| | - Jong‐Moo Park
- Department of Neurology, Uijeongbu Eulji Medical CenterEulji University School of MedicineUijeongbu‐siKorea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical CenterEulji University School of MedicineSeoulKorea
| | - Soo Joo Lee
- Department of Neurology, Eulji University HospitalEulji UniversityDaejeonKorea
| | - Jae Guk Kim
- Department of Neurology, Eulji University HospitalEulji UniversityDaejeonKorea
| | - Jae‐Kwan Cha
- Department of NeurologyDong‐A University HospitalBusanKorea
| | - Dae‐Hyun Kim
- Department of NeurologyDong‐A University HospitalBusanKorea
| | - Tai Hwan Park
- Department of NeurologySeoul Medical CenterSeoulKorea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul HospitalSoonchunhyang University College of MedicineSeoulKorea
| | - Jun Lee
- Department of NeurologyYeungnam University HospitalDaeguKorea
| | - Keun‐Sik Hong
- Department of Neurology, Ilsan Paik HospitalInje UniversityGoyangKorea
| | - Yong‐Jin Cho
- Department of Neurology, Ilsan Paik HospitalInje UniversityGoyangKorea
| | - Hong‐Kyun Park
- Department of Neurology, Ilsan Paik HospitalInje UniversityGoyangKorea
| | - Byung‐Chul Lee
- Department of NeurologyHallym University Sacred Heart HospitalAnyangKorea
| | - Kyung‐Ho Yu
- Department of NeurologyHallym University Sacred Heart HospitalAnyangKorea
| | - Mi Sun Oh
- Department of NeurologyHallym University Sacred Heart HospitalAnyangKorea
| | - Dong‐Eog Kim
- Department of NeurologyDongguk University Ilsan HospitalGoyangKorea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University HospitalJeju National University School of MedicineJejuKorea
| | - Jee‐Hyun Kwon
- Department of NeurologyUlsan University College of MedicineUlsanKorea
| | - Wook‐Joo Kim
- Department of NeurologyUlsan University College of MedicineUlsanKorea
| | - Dong‐Ick Shin
- Department of NeurologyChungbuk National University HospitalCheongjuKorea
| | - Kyu Sun Yum
- Department of NeurologyChungbuk National University HospitalCheongjuKorea
| | - Sung Il Sohn
- Department of NeurologyKeimyung University Dongsan Medical CenterDaeguKorea
| | - Jeong‐Ho Hong
- Department of NeurologyKeimyung University Dongsan Medical CenterDaeguKorea
| | - Sang‐Hwa Lee
- Department of NeurologyHallym University Chuncheon Sacred Heart HospitalChuncheon‐siGangwon‐doKorea
| | - Man‐Seok Park
- Department of Neurology, Chonnam National University HospitalChonnam National University Medical SchoolGwangjuKorea
| | - Wi‐Sun Ryu
- Artificial Intelligence Research CenterJLK Inc.SeoulKorea
| | - Kwang‐Yeol Park
- Department of Neurology, Chung‐Ang University College of MedicineChung‐Ang University HospitalSeoulKorea
| | - Juneyoung Lee
- Department of BiostatisticsKorea University College of MedicineSeoulKorea
| | - Jeffrey L. Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCA
| | - Hee‐Joon Bae
- Department of Neurology, Cerebrovascular CenterSeoul National University Bundang HospitalSeongnamKorea
| |
Collapse
|
11
|
Kim N, Ha SY, Park GH, Park JH, Kim D, Sunwoo L, Kye MS, Baik SH, Jung C, Ryu WS, Kim BJ. Comparison of two automated CT perfusion software packages in patients with ischemic stroke presenting within 24 h of onset. Front Neurosci 2024; 18:1398889. [PMID: 38868398 PMCID: PMC11168493 DOI: 10.3389/fnins.2024.1398889] [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: 03/11/2024] [Accepted: 05/03/2024] [Indexed: 06/14/2024] Open
Abstract
Background We compared the ischemic core and hypoperfused tissue volumes estimated by RAPID and JLK-CTP, a newly developed automated computed tomography perfusion (CTP) analysis package. We also assessed agreement between ischemic core volumes by two software packages against early follow-up infarct volumes on diffusion-weighted images (DWI). Methods This retrospective study analyzed 327 patients admitted to a single stroke center in Korea from January 2021 to May 2023, who underwent CTP scans within 24 h of onset. The concordance correlation coefficient (ρ) and Bland-Altman plots were utilized to compare the volumes of ischemic core and hypoperfused tissue volumes between the software packages. Agreement with early (within 3 h from CTP) follow-up infarct volumes on diffusion-weighted imaging (n = 217) was also evaluated. Results The mean age was 70.7 ± 13.0 and 137 (41.9%) were female. Ischemic core volumes by JLK-CTP and RAPID at the threshold of relative cerebral blood flow (rCBF) < 30% showed excellent agreement (ρ = 0.958 [95% CI, 0.949 to 0.966]). Excellent agreement was also observed for time to a maximum of the residue function (T max) > 6 s between JLK-CTP and RAPID (ρ = 0.835 [95% CI, 0.806 to 0.863]). Although early follow-up infarct volume showed substantial agreement in both packages (JLK-CTP, ρ = 0.751 and RAPID, ρ = 0.632), ischemic core volumes at the threshold of rCBF <30% tended to overestimate ischemic core volumes. Conclusion JLK-CTP and RAPID demonstrated remarkable concordance in estimating the volumes of the ischemic core and hypoperfused area based on CTP within 24 h from onset.
Collapse
Affiliation(s)
- Nakhoon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sue Young Ha
- Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Gi-Hun Park
- Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Jong-Hyeok Park
- Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Dongmin Kim
- Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Min-Surk Kye
- Department of Neurology, Seongnam Citizens Medical Center, Seongnam, Republic of Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| |
Collapse
|
12
|
Ryu WS, Schellingerhout D, Lee H, Lee KJ, Kim CK, Kim BJ, Chung JW, Lim JS, Kim JT, Kim DH, Cha JK, Sunwoo L, Kim D, Suh SI, Bang OY, Bae HJ, Kim DE. Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images. J Stroke 2024; 26:300-311. [PMID: 38836277 PMCID: PMC11164582 DOI: 10.5853/jos.2024.00535] [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: 02/06/2024] [Revised: 04/04/2024] [Accepted: 05/07/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND AND PURPOSE Accurate classification of ischemic stroke subtype is important for effective secondary prevention of stroke. We used diffusion-weighted image (DWI) and atrial fibrillation (AF) data to train a deep learning algorithm to classify stroke subtype. METHODS Model development was done in 2,988 patients with ischemic stroke from three centers by using U-net for infarct segmentation and EfficientNetV2 for subtype classification. Experienced neurologists (n=5) determined subtypes for external test datasets, while establishing a consensus for clinical trial datasets. Automatically segmented infarcts were fed into the model (DWI-only algorithm). Subsequently, another model was trained, with AF included as a categorical variable (DWI+AF algorithm). These models were tested: (1) internally against the opinion of the labeling experts, (2) against fresh external DWI data, and (3) against clinical trial dataset. RESULTS In the training-and-validation datasets, the mean (±standard deviation) age was 68.0±12.5 (61.1% male). In internal testing, compared with the experts, the DWI-only and the DWI+AF algorithms respectively achieved moderate (65.3%) and near-strong (79.1%) agreement. In external testing, both algorithms again showed good agreements (59.3%-60.7% and 73.7%-74.0%, respectively). In the clinical trial dataset, compared with the expert consensus, percentage agreements and Cohen's kappa were respectively 58.1% and 0.34 for the DWI-only vs. 72.9% and 0.57 for the DWI+AF algorithms. The corresponding values between experts were comparable (76.0% and 0.61) to the DWI+AF algorithm. CONCLUSION Our model trained on a large dataset of DWI (both with or without AF information) was able to classify ischemic stroke subtypes comparable to a consensus of stroke experts.
Collapse
Affiliation(s)
- Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
- Artificial Intelligence Research Center, JLK Inc., Seoul, Korea
| | - Dawid Schellingerhout
- Department of Neuroradiology and Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Hoyoun Lee
- Artificial Intelligence Research Center, JLK Inc., Seoul, Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Dongmin Kim
- Artificial Intelligence Research Center, JLK Inc., Seoul, Korea
| | - Sang-Il Suh
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
- National Priority Research Center for Stroke, Goyang, Korea
| |
Collapse
|
13
|
Rathburn CM, Mun KT, Sharma LK, Saver JL. TOAST stroke subtype classification in clinical practice: implications for the Get With The Guidelines-Stroke nationwide registry. Front Neurol 2024; 15:1375547. [PMID: 38585349 PMCID: PMC10995393 DOI: 10.3389/fneur.2024.1375547] [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: 01/24/2024] [Accepted: 03/11/2024] [Indexed: 04/09/2024] Open
Abstract
Introduction The TOAST (Trial of ORG 10172 in Acute Stroke Treatment) is the most commonly used ischemic stroke subtype classification system worldwide and a required field in the US National Get With The Guidelines-Stroke (GWTG-Stroke) registry. However, stroke diagnostics have advanced substantially since the TOAST classification was designed 30 years ago, potentially making it difficult to apply reliably. Methods In this prospective diagnostic accuracy study, we analyzed consecutive ischemic stroke patients admitted to a Comprehensive Stroke Center between July-October 2021. Clinical practice TOAST classification diagnoses rendered by the stroke team in the electronic medical record (EMR) at discharge were retrieved from GWTG-Stroke registry and compared to a reference ("gold") standard diagnosis derived from agreement between two expert raters after review of the EMR and patient imaging. Results Among 49 patients; age was 72.3 years (±12.1), 53% female, and presenting NIHSS median 3 (IQR 1-11). Work-up included: brain imaging in 100%; cardiac rhythm assessment in 100%; cervical/cerebral vessel imaging in 98%; TTE ± TEE in 92%; and TCD emboli evaluation in 51%. Reference standard diagnoses were: LAA-6%, SVD-14%, CE-39%, OTH-10%, UND-M (more than one cause)-20%, and UND-C (cryptogenic)-10%. GWTG-Stroke TOAST diagnoses agreed with reference standard diagnoses in 30/49 (61%). Among the 6 subtype diagnoses, specificity was generally high (84.8%-97.7%), but sensitivity suboptimal for LAA (33%), OTH (60%), UND-M (10%), and UND-C (20%). Positive predictive value was suboptimal for 5 of the 6 subtypes: LAA (13%), SVD (58%), OTH (75%), UND-M (50%), and UND-C (50%). Discussion Clinical practice TOAST classification subtype diagnoses entered into the GWTG-Stroke registry were accurate in only 61% of patients, a performance rate that, if similarly present at other centers, would hamper the ability of the national registry to provide dependable insights into subtype-related care. Development of an updated ischemic stroke subtype classification system, with algorithmic logic embedded in electronic medical records, is desirable.
Collapse
Affiliation(s)
| | | | | | - Jeffrey L. Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| |
Collapse
|
14
|
Lee M, Lee BC, Yu KH, Oh MS, Kim BJ, Kim JY, Kang J, Lee KJ, Kim DY, Park JM, Kang K, Park TH, Lee KB, Hong KS, Park HK, Cho YJ, Kim DE, Lee SJ, Kim JG, Lee J, Cha JK, Kim DH, Kim JT, Choi KH, Choi JC, Sohn SI, Hong JH, Lee SH, Kim C, Shin DI, Yum KS, Lee J, Lee JS, Gorelick PB, Bae HJ. Secular Trends in Outcomes and Impact of Novel Oral Anticoagulants in Atrial Fibrillation-Related Acute Ischemic Stroke. Stroke 2024; 55:625-633. [PMID: 38328909 DOI: 10.1161/strokeaha.123.044487] [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: 07/12/2023] [Accepted: 01/11/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Novel oral anticoagulants (NOACs) are currently recommended for the secondary prevention of stroke in patients with acute ischemic stroke (AIS) accompanied by atrial fibrillation (AF). However, the impact of NOACs on clinical outcomes in real-world practice remains ambiguous. This study analyzes the trend of clinical events in patients with AF-related AIS and determines how much the introduction of NOACs has mediated this trend. METHODS We identified patients with AIS and AF between January 2011 and December 2019 using a multicenter stroke registry. Annual rates of NOAC prescriptions and clinical events within 1 year were evaluated. The primary outcome was a composite of recurrent stroke, myocardial infarction, and all-cause mortality. To assess the mediation effect of NOACs on the relationship between the calendar year and these outcomes, we used natural effect models and conducted exposure-mediator, exposure-outcome, and mediator-outcome analyses using multivariable regression models or accelerated failure time models, adjusting for potential confounders. RESULTS Among the 12 977 patients with AF-related AIS, 12 500 (average age: 74.4 years; 51.3% male) were analyzed after excluding cases of valvular AF. Between 2011 and 2019, there was a significant decrease in the 1-year incidence of the primary composite outcome from 28.3% to 21.7%, while the NOAC prescription rate increased from 0% to 75.6%. A 1-year increase in the calendar year was independently associated with delayed occurrence of the primary outcome (adjusted time ratio, 1.10 [95% CI, 1.07-1.14]) and increased NOAC prescription (adjusted odds ratio, 2.20 [95% CI, 2.14-2.27]). Increased NOAC prescription was associated with delayed occurrence of the primary outcome (adjusted time ratio, 3.82 [95% CI, 3.17 to 4.61]). Upon controlling for NOAC prescription (mediator), the calendar year no longer influenced the primary outcome (adjusted time ratio, 0.97 [95% CI, 0.94-1.00]). This suggests that NOAC prescription mediates the association between the calendar year and the primary outcome. CONCLUSIONS Our study highlights a temporal reduction in major clinical events or death in Korean patients with AF-related AIS, mediated by increased NOAC prescription, emphasizing NOAC use in this population.
Collapse
Affiliation(s)
- Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Republic of Korea (M.L., B.-C.L., K.-H.Y., M.-S.O.)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Republic of Korea (M.L., B.-C.L., K.-H.Y., M.-S.O.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Republic of Korea (M.L., B.-C.L., K.-H.Y., M.-S.O.)
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Republic of Korea (M.L., B.-C.L., K.-H.Y., M.-S.O.)
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea (B.J.K., J.Y.K., J.K., D.Y.K., H.-J.B.)
| | - Jun Yup Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea (B.J.K., J.Y.K., J.K., D.Y.K., H.-J.B.)
| | - Jihoon Kang
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea (B.J.K., J.Y.K., J.K., D.Y.K., H.-J.B.)
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea (K.-J.L.)
| | - Do Yeon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea (B.J.K., J.Y.K., J.K., D.Y.K., H.-J.B.)
| | - Jong-Moo Park
- Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Republic of Korea (J.-M.P.)
| | - Kyusik Kang
- Nowon Elji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea (K.K.)
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Republic of Korea (T.H.P.)
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Republic of Korea (K.B.L.)
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang-si, Republic of Korea (K.-S.H., H.-K.P., Y.-J.C.)
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang-si, Republic of Korea (K.-S.H., H.-K.P., Y.-J.C.)
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang-si, Republic of Korea (K.-S.H., H.-K.P., Y.-J.C.)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang-si, Republic of Korea (D.-E.K., S.J.L.)
| | - Soo Joo Lee
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang-si, Republic of Korea (D.-E.K., S.J.L.)
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Daejeon, Republic of Korea (J.G.K.)
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Republic of Korea (Jun Lee)
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea (J.-K.C., D.-H.K.)
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea (J.-K.C., D.-H.K.)
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea (J.-T.K., K.-H.C.)
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea (J.-T.K., K.-H.C.)
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Republic of Korea (J.C.C.)
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Republic of Korea (S.-I.S., J.-H.H.)
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Republic of Korea (S.-I.S., J.-H.H.)
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Republic of Korea (S.-H.L., C.K.)
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Republic of Korea (S.-H.L., C.K.)
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea (D.-I.S., K.S.Y.)
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea (D.-I.S., K.S.Y.)
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea (Juneyoung Lee)
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.S.L.)
| | - Philip B Gorelick
- Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL (P.B.G.)
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnamsi, Republic of Korea (B.J.K., J.Y.K., J.K., D.Y.K., H.-J.B.)
| |
Collapse
|
15
|
Park JW, Kim JT, Lee JS, Kim BJ, Yoo J, Han JH, Kim BJ, Kim CK, Kim JG, Baik SH, Park JM, Kang K, Lee SJ, Park H, Cha JK, Park TH, Lee K, Lee J, Hong KS, Lee BC, Kim DE, Choi JC, Kwon JH, Shin DI, Sohn SI, Lee SH, Ryu WS, Lee J, Bae HJ. Brain Frailty and Outcomes of Acute Minor Ischemic Stroke With Large-Vessel Occlusion. J Clin Neurol 2024; 20:175-185. [PMID: 38171505 PMCID: PMC10921043 DOI: 10.3988/jcn.2023.0181] [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: 05/19/2023] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND PURPOSE The influence of imaging features of brain frailty on outcomes were investigated in acute ischemic stroke patients with minor symptoms and large-vessel occlusion (LVO). METHODS This was a retrospective analysis of a prospective, multicenter, nationwide registry of consecutive patients with acute (within 24 h) minor (National Institutes of Health Stroke Scale score=0-5) ischemic stroke with anterior circulation LVO (acute minor LVO). Brain frailty was stratified according to the presence of an advanced white-matter hyperintensity (WMH) (Fazekas grade 2 or 3), silent/old brain infarct, or cerebral microbleeds. The primary outcome was a composite of stroke, myocardial infarction, and all-cause mortality within 1 year. RESULTS In total, 1,067 patients (age=67.2±13.1 years [mean±SD], 61.3% males) were analyzed. The proportions of patients according to the numbers of brain frailty burdens were as follows: no burden in 49.2%, one burden in 30.0%, two burdens in 17.3%, and three burdens in 3.5%. In the Cox proportional-hazards analysis, the presence of more brain frailty burdens was associated with a higher risk of 1-year primary outcomes, but after adjusting for clinically relevant variables there were no significant associations between burdens of brain frailty and 1-year vascular outcomes. For individual components of brain frailty, an advanced WMH was independently associated with an increased risk of 1-year primary outcomes (adjusted hazard ratio [aHR]=1.33, 95% confidence interval [CI]=1.03-1.71) and stroke (aHR=1.32, 95% CI=1.00-1.75). CONCLUSIONS The baseline imaging markers of brain frailty were common in acute minor ischemic stroke patients with LVO. An advanced WMH was the only frailty marker associated with an increased risk of vascular events. Further research is needed into the association between brain frailty and prognosis in patients with acute minor LVO.
Collapse
Affiliation(s)
- Je-Woo Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea.
| | - Joonsang Yoo
- Department of Neurology, Yongin Severance Hospital, Yongin, Korea
| | - Jung Hoon Han
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, Seoul, Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc., Seoul, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| |
Collapse
|
16
|
Lee M, Lee EJ, Kim RO, Pyun JM, Joo BE, Kwon KY, Roh H, Ahn MY, Lee K. Systemic immune-inflammation index as a predictor of early stroke progression/recurrence in acute atherosclerotic ischemic stroke. Clin Neurol Neurosurg 2024; 238:108182. [PMID: 38417245 DOI: 10.1016/j.clineuro.2024.108182] [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: 12/03/2023] [Revised: 02/14/2024] [Accepted: 02/17/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVES Although the systemic immune-inflammatory index (SII) has recently been correlated with stroke severity and functional outcome, the underlying pathogenesis remains largely unknown. The objective of this study was to explore whether SII could predict early neurologic deterioration (END) in different etiologies of acute ischemic stroke. MATERIALS AND METHODS From January 2019 to December 2021, a total of 697 consecutive patients with acute ischemic stroke, admitted within 72 hours from stroke onset, were prospectively enrolled. The patients were categorized into 4 groups based on quartiles of SII, calculated as platelets multiplied by neutrophils divided by lymphocytes. END and stroke progression/recurrence were assessed during the first 7 days after stroke onset using predetermined definitions. Logistic regression analysis was conducted to evaluate the association between SII and END, while considering the variation in association across stroke etiologies. RESULTS END occurred in 135 patients: 24 (3.4%) for Group I, 25 (3.6%) for Group II, 33 (4.7%) for Group III, and 53 (7.6%) for Group IV. Among the END subtypes, stroke progression/recurrence stroke was the most prevalent. In the logistic regression model, the adjusted odds ratios (ORs) of END and stroke progression/recurrence for group IV were 2.51 (95% CI, 1.27-4.95) and 1.98 (95% CI, 1.03-3.89), respectively. Among the stroke etiologies, group IV showed a significant increase in END (OR 4.24; 95% CI, 1.42-12.64) and stroke progression/recurrence (OR 4.13; 95% CI, 1.39-12.27) specifically in case of large artery atherosclerosis. CONCLUSIONS SII independently predicts early stroke progression/recurrence in patients with acute atherosclerotic ischemic stroke.
Collapse
Affiliation(s)
- Mina Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Eun Ji Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Rae On Kim
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Jung-Min Pyun
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Byung-Euk Joo
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Kyum-Yil Kwon
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Hakjae Roh
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Moo-Young Ahn
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea.
| |
Collapse
|
17
|
Kim JT, Lee JS, Kim H, Kim BJ, Kang J, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee K, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Ryu WS, Park KY, Lee J, Bae HJ. Differential impacts of admission LDL-cholesterol on early vascular outcomes by ischemic stroke subtypes. J Clin Lipidol 2024; 18:e207-e217. [PMID: 38101971 DOI: 10.1016/j.jacl.2023.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/26/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Because ischemic stroke is heterogeneous, the associations between low-density lipoprotein (LDL)-cholesterol levels and early vascular outcomes might be different according to the stroke subtype in acute ischemic stroke patients. METHODS This study was an analysis of a prospective, multicenter, stroke registry. Acute ischemic stroke patients previously not treated with statins were included. Admission LDL-cholesterol levels were divided into 7 groups at 20 mg/dl intervals for comparison. The primary early vascular outcome was a composite of stroke, myocardial infarction (MI) and all-cause mortality within 3 months. RESULTS A total of 38,531 patients (age, 68.5 ± 12.8 yrs; male, 59.6%) were analyzed for this study. The 3-month cumulative incidences of the composite of stroke, MI, and all-cause mortality significantly differed among the LDL-cholesterol level groups, with the highest event rate (11.11%) in the lowest LDL-cholesterol group (<70 mg/dl). After adjustment, the U-shaped associations of LDL-cholesterol levels with primary outcome and all-cause mortality were observed. For the stroke subtypes, there were substantial interactions between the LDL-cholesterol groups and stroke subtype and all-cause mortality (Pinteraction=0.07). Different patterns, with higher risks of all-cause mortality in the lower LDL-cholesterol in the large artery atherosclerosis subtype (adjusted hazard ratio [aHR] 1.29, 95% confidence interval [CI] 0.98-1.69), but in the higher LDL-cholesterol in the cardioembolism subtype (aHR 1.71 95% CI [1.28-2.29]), were observed among stroke subtypes. CONCLUSION We found that there were differential associations of admission LDL-cholesterol levels with all-cause mortality within 3 months among stroke subtypes. These results suggest that admission LDL-cholesterol and early vascular outcomes had complex relationships in patients with ischemic stroke according to the stroke subtypes.
Collapse
Affiliation(s)
- Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (Drs Kim and Park).
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (Dr Lee)
| | - Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (Drs Kim and Park)
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (Drs Kim, Kang, Lee, and Bae)
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (Drs Kim, Kang, Lee, and Bae)
| | - Keon-Joo Lee
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (Drs Kim, Kang, Lee, and Bae); Department of Neurology, Korea University Guro Hospital, Seoul, Korea (Dr Lee)
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Korea (Dr Park)
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea (Dr Kang)
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea (Drs Lee and Kim)
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea (Drs Lee and Kim)
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea (Drs Cha and Kim)
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea (Drs Cha and Kim)
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea (Dr Park)
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea (Dr Lee)
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea (Dr Lee)
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea (Drs Hong, Cho, and Park)
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea (Drs Hong, Cho, and Park)
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea (Drs Hong, Cho, and Park)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (Drs Lee, Yu, and Oh)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (Drs Lee, Yu, and Oh)
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (Drs Lee, Yu, and Oh)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (Dr Kim)
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea (Dr Choi)
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, Korea (Drs Kwon and Kim)
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, Korea (Drs Kwon and Kim)
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea (Drs Shin and Yum)
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea (Drs Shin and Yum)
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea (Drs Sohn and Hong)
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea (Drs Sohn and Hong)
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Korea (Dr Lee)
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (Drs Kim and Park)
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc, Seoul, Korea (Dr Ryu)
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University College of Medicine, Chung-Ang University Hospital, Seoul, Korea (Dr Park)
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea (Dr Lee)
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (Drs Kim, Kang, Lee, and Bae).
| |
Collapse
|
18
|
Sohn JH, Kim C, Sung JH, Han SW, Minwoo Lee, Oh MS, Yu KH, Kim Y, Park SH, Lee SH. Effect of pre-stroke antiplatelet use on stroke outcomes in acute small vessel occlusion stroke with moderate to severe white matter burden. J Neurol Sci 2024; 456:122837. [PMID: 38141530 DOI: 10.1016/j.jns.2023.122837] [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: 10/30/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Cerebral small vessel disease is characterized by white matter hyperintensities (WMH) and acute small vessel occlusion (SVO) stroke. We investigated the effect of prior antiplatelet use (APU) on stroke outcome in 1151 patients with acute SVO stroke patients and moderate to severe WMH. METHODS Using a multicenter database, this retrospective study used quantitative WMH volume measurements and propensity score matching (PSM) for comparisons between patients with prior APU and without APU. Primary outcomes were stroke progression and poor functional outcome (modified Rankin Scale>2) at 3 months. Logistic regression analyses assessed associations between prior APU, WMH burden, and stroke outcomes. RESULTS Stroke progression was lower in the prior APU group in both the total cohort (14.8% vs. 6.9%, p < 0.001) and the PSM cohort (16.3% vs. 6.9%, p < 0.001). The proportion of poor functional outcomes at 3 months was not significantly different in the total cohort, but the PSM cohort showed a lower proportion in the prior APU group (30.8% vs. 20.2%, p = 0.002). Logistic regression analysis confirmed that prior APU was associated with a reduced risk of stroke progression (OR, 0.39; 95% CI, 0.22-0.70; p = 0.001) and poor functional outcome at 3 months (OR, 0.37; 95% CI, 0.23-0.59; p < 0.001). CONCLUSION Prior APU is associated with reduced stroke progression and improved functional outcome at 3 months in acute SVO stroke patients with moderate to severe WMH. Early treatment of WMH and acute SVO stroke may have potential benefits in improving stroke outcomes.
Collapse
Affiliation(s)
- Jong-Hee Sohn
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea; Institute of New Frontier research Team, Hallym University, Chuncheon, South Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea; Institute of New Frontier research Team, Hallym University, Chuncheon, South Korea
| | - Joo Hye Sung
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea
| | - Sang-Won Han
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea
| | - Minwoo Lee
- Department of Neurology, Hallym Sacred Heart Hospital Hallym University College of Medicine, Anyang, South Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym Sacred Heart Hospital Hallym University College of Medicine, Anyang, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym Sacred Heart Hospital Hallym University College of Medicine, Anyang, South Korea
| | - Yerim Kim
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Soo-Hyun Park
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea; Institute of New Frontier research Team, Hallym University, Chuncheon, South Korea.
| |
Collapse
|
19
|
Jung HJ, Ryu JC, Joon Kim B, Kang DW, Kwon SU, Kim JS, Chang JY. Time Window for Induced Hypertension in Acute Small Vessel Occlusive Stroke With Early Neurological Deterioration. Stroke 2024; 55:14-21. [PMID: 38063016 DOI: 10.1161/strokeaha.123.044334] [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: 06/26/2023] [Accepted: 11/13/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Therapeutic-induced hypertension treatment (iHTN) is helpful for alleviating early neurological deterioration (END) in acute small vessel occlusive stroke. We examined the time parameters related to iHTN effectiveness in these patients. METHODS We retrospectively reviewed patients with acute small vessel occlusive stroke who underwent iHTN for END, defined as an increase of ≥2 points in total National Institutes of Health Stroke Scale (NIHSS) score or ≥1 point in motor items of NIHSS. The primary outcome was an early neurological improvement (ENI; a decrease of ≥2 points in total NIHSS score or ≥1 point in motor items of NIHSS), and the secondary outcome was any neurological improvement (a decrease of ≥1 point in the total NIHSS score). We conducted a multivariable logistic regression analysis, adjusting for demographics, risk factors, baseline clinical status, and intervention-related variables. We also generated a restricted cubic spline curve for the END-to-iHTN time cutoff. RESULTS Among the 1062 patients with small vessel occlusive stroke screened between 2017 and 2021, 136 patients who received iHTN within 24 hours from END were included. The mean age was 65.1 (±12.0) years, and 61.0% were male. Sixty-five (47.8%) patients showed ENI and 77 (56.6%) patients showed any neurological improvement. END-to-iHTN time was significantly shorter in patients with ENI (150 [49-322] versus 290 [97-545] minutes; P=0.018) or any neurological improvement (150 [50-315] versus 300 [130-573] minutes; P=0.002). A 10-minute increase in the time between END and iHTN decreased the odds of achieving ENI (odds ratio, 0.984 [95% CI, 0.970-0.997]; P=0.019) or any neurological improvement (odds ratio, 0.978 [95% CI, 0.964-0.992]; P=0.002). The restricted cubic spline curve showed that the odds ratio of ENI reached its minimum at ≈3 hours. CONCLUSIONS Among patients with small vessel occlusive stroke with END, a shorter interval between END and the initiation of iHTN was associated with increased odds of achieving neurological improvement. The efficacy of iHTN may be limited to induction within the first 3 hours of END.
Collapse
Affiliation(s)
- Hee-Jae Jung
- Department of Neurology, Asan Medical Center (H.-J.J., B.J.K., D.-W.K, S.U.K., J.Y.C.)
| | - Jae-Chan Ryu
- Department of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, South Korea (J.-C.R.)
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center (H.-J.J., B.J.K., D.-W.K, S.U.K., J.Y.C.)
- University of Ulsan College of Medicine, Seoul, South Korea (B.J.K., D.-W.K., S.U.K., J.Y.C.)
| | - Dong-Wha Kang
- Department of Neurology, Asan Medical Center (H.-J.J., B.J.K., D.-W.K, S.U.K., J.Y.C.)
- University of Ulsan College of Medicine, Seoul, South Korea (B.J.K., D.-W.K., S.U.K., J.Y.C.)
| | - Sun U Kwon
- Department of Neurology, Asan Medical Center (H.-J.J., B.J.K., D.-W.K, S.U.K., J.Y.C.)
- University of Ulsan College of Medicine, Seoul, South Korea (B.J.K., D.-W.K., S.U.K., J.Y.C.)
| | - Jong S Kim
- Department of Neurology, Gangneung Asan Hospital (J.S.K.)
| | - Jun Young Chang
- Department of Neurology, Asan Medical Center (H.-J.J., B.J.K., D.-W.K, S.U.K., J.Y.C.)
- University of Ulsan College of Medicine, Seoul, South Korea (B.J.K., D.-W.K., S.U.K., J.Y.C.)
| |
Collapse
|
20
|
Lim J, Lee K, Kim BJ, Ryu W, Chung J, Gwak D, Lee JS, Kim S, Ko E, Lee J, Han M, Smith EE, Kim D, Bae H. Nonhypertensive White Matter Hyperintensities in Stroke: Risk Factors, Neuroimaging Characteristics, and Prognosis. J Am Heart Assoc 2023; 12:e030515. [PMID: 38014679 PMCID: PMC10727348 DOI: 10.1161/jaha.123.030515] [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: 04/08/2023] [Accepted: 11/03/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND This study explored the risk factors, neuroimaging features, and prognostic implications of nonhypertensive white matter hyperintensity (WMH) in patients with acute ischemic stroke and transient ischemic attack. METHODS AND RESULTS We included 2283 patients with hypertension and 1003 without from a pool of 10 602. Associations of moderate-to-severe WMH with known risk factors, functional outcome, and a composite of recurrent stroke, myocardial infarction, and all-cause mortality were evaluated. A subset of 351 patients without hypertension and age- and sex-matched pairs with hypertension and moderate-to-severe WMH was created for a detailed topographic examination of WMH, lacunes, and microbleeds. Approximately 35% of patients without hypertension and 65% of patients with hypertensive stroke exhibited moderate-to-severe WMH. WMH was associated with age, female sex, and previous stroke, irrespective of hypertension. In patients without hypertension, WMH was associated with initial systolic blood pressure and was more common in the anterior temporal region. In patients with hypertension, WMH was associated with small vessel occlusion as a stroke mechanism and was more frequent in the periventricular region near the posterior horn of the lateral ventricle. The higher prevalence of occipital microbleeds in patients without hypertension and deep subcortical lacunes in patients with hypertension were also observed. Associations of moderate-to-severe WMH with 3-month functional outcome and 1-year cumulative incidence of the composite outcome were significant (both P<0.01), although the latter lost significance after adjustments. The associations between WMH and outcomes were consistent across hypertensive status. CONCLUSIONS One-third of patients without hypertension with stroke have moderate-to-severe WMH. The pathogenesis of WMH may differ between patients without and with hypertension, but its impact on outcome appears similar.
Collapse
Affiliation(s)
- Jae‐Sung Lim
- Department of Neurology, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Keon‐Joo Lee
- Department of NeurologyKorea University Guro Hospital, Korea University College of MedicineSeoulRepublic of Korea
| | - Beom Joon Kim
- Department of NeurologySeoul National University Bundang Hospital, Seoul National University College of MedicineSeongnamRepublic of Korea
| | | | - Jinyong Chung
- Medical Science Research CenterDongguk University Medical CenterGoyangRepublic of Korea
| | - Dong‐Seok Gwak
- Department of NeurologyDongguk University Ilsan Hospital, Dongguk University College of MedicineGoyangRepublic of Korea
| | - Ji Sung Lee
- Clinical Research CenterAsan Institute for Life Sciences, Asan Medical CenterSeoulRepublic of Korea
| | - Seong‐Eun Kim
- Department of NeurologySeoul National University Bundang Hospital, Seoul National University College of MedicineSeongnamRepublic of Korea
| | - Eunvin Ko
- Department of BiostatisticsKorea UniversitySeoulRepublic of Korea
| | - Juneyoung Lee
- Department of BiostatisticsKorea UniversitySeoulRepublic of Korea
| | - Moon‐Ku Han
- Department of NeurologySeoul National University Bundang Hospital, Seoul National University College of MedicineSeongnamRepublic of Korea
| | - Eric E. Smith
- Department of Clinical Neuroscience and Hotchkiss Brain Institute, Cumming School of MedicineUniversity of CalgaryCalgaryCanada
| | - Dong‐Eog Kim
- Department of NeurologyDongguk University Ilsan Hospital, Dongguk University College of MedicineGoyangRepublic of Korea
| | - Hee‐Joon Bae
- Department of NeurologySeoul National University Bundang Hospital, Seoul National University College of MedicineSeongnamRepublic of Korea
| |
Collapse
|
21
|
Kim J, Kim JY, Kang J, Kim BJ, Han MK, Lee JY, Park TH, Lee KJ, Kim JT, Choi KH, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Lee K, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Lee JS, Lee J, Gorelick PB, Bae HJ. Improvement in Delivery of Ischemic Stroke Treatments but Stagnation of Clinical Outcomes in Young Adults in South Korea. Stroke 2023; 54:3002-3011. [PMID: 37942640 DOI: 10.1161/strokeaha.123.044619] [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: 04/17/2023] [Accepted: 10/12/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND There is limited information on the delivery of acute stroke therapies and secondary preventive measures and clinical outcomes over time in young adults with acute ischemic stroke. This study investigated whether advances in these treatments improved outcomes in this population. METHODS Using a prospective multicenter stroke registry in Korea, young adults (aged 18-50 years) with acute ischemic stroke hospitalized between 2008 and 2019 were identified. The observation period was divided into 4 epochs: 2008 to 2010, 2011 to 2013, 2014 to 2016, and 2017 to 2019. Secular trends for patient characteristics, treatments, and outcomes were analyzed. RESULTS A total of 7050 eligible patients (mean age, 43.1; men, 71.9%) were registered. The mean age decreased from 43.6 to 42.9 years (Ptrend=0.01). Current smoking decreased, whereas obesity increased. Other risk factors remained unchanged. Intravenous thrombolysis and mechanical thrombectomy rates increased over time from 2008 to 2010 to 2017 to 2019 (9.5%-13.8% and 3.2%-9.2%, respectively; Ptrend<0.01). Door-to-needle time improved (Ptrend <.001), but onset-to-door and door-to-puncture times remained constant. Secondary prevention, including dual antiplatelets for noncardioembolic minor stroke (26.7%-47.0%), direct oral anticoagulants for atrial fibrillation (0.0%-56.2%), and statins for large artery atherosclerosis (76.1%-95.3%) increased (Ptrend<0.01). Outcome data were available from 2011. One-year mortality (2.5% in 2011-2013 and 2.3% in 2017-2019) and 3-month modified Rankin Scale scores 0 to 1 (68.3%-69.1%) and 0 to 2 (87.6%-86.2%) remained unchanged. The 1-year stroke recurrence rate increased (4.1%-5.5%; Ptrend=0.04), although the difference was not significant after adjusting for sex and age. CONCLUSIONS Improvements in the delivery of acute stroke treatments did not necessarily lead to better outcomes in young adults with acute ischemic stroke over the past decade, indicating a need for further progress.
Collapse
Affiliation(s)
- Jonguk Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| | - Jun Yup Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| | - Jihoon Kang
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| | - Jeong-Yoon Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Korea (T.H.P.)
| | - Keon-Joo Lee
- Korea University Guro Hospital, Seoul, Korea (K.-J.L.)
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., K.-H.C.)
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., K.-H.C.)
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Korea (J.-M.P.)
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Department of Neurology, Eulji University School of Medicine, Seoul, Korea (K.K.)
| | - Soo Joo Lee
- Eulji University Hospital, Daejeon, Korea (S.J.L., J.G.K.)
| | - Jae Guk Kim
- Eulji University Hospital, Daejeon, Korea (S.J.L., J.G.K.)
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K.)
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K.)
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Korea (K.L.)
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea (J.L.)
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.-S.O.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.-S.O.)
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.-S.O.)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (D.-E.K., W.-S.R.)
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (D.-E.K., W.-S.R.)
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Korea (J.C.C.)
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University Hospital, Korea (J.-H.W., W.-J.K.)
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, Korea (J.-H.W., W.-J.K.)
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University and Hospital, Cheongju, Korea (D.-I.S., K.S.Y.)
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University and Hospital, Cheongju, Korea (D.-I.S., K.S.Y.)
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea (S.I.S., J.H.)
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea (S.I.S., J.H.)
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Korea (S.-H.L.)
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Seoul, Korea (J.S.L.)
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul, Korea (J.L.)
| | - Philip B Gorelick
- Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL (P.B.G)
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea (J. Kim , J.Y.K., J.K., B.J.K., M.-K.H., J.-Y.L., H.-J.B.)
| |
Collapse
|
22
|
Sohn JH, Kim Y, Kim C, Sung JH, Han SW, Kim Y, Park SH, Lee M, Yu KH, Lee JJ, Lee SH. Effect of Cerebral Small Vessel Disease Burden on Infarct Growth Rate and Stroke Outcomes in Large Vessel Occlusion Stroke Receiving Endovascular Treatment. Biomedicines 2023; 11:3102. [PMID: 38002102 PMCID: PMC10669066 DOI: 10.3390/biomedicines11113102] [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: 10/24/2023] [Revised: 11/13/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023] Open
Abstract
This study aimed to investigate the association between cerebral small vessel disease (CSVD) burden and infarct growth rate (IGR) in patients with large vessel occlusion (LVO) stroke who underwent endovascular treatment (EVT). A retrospective analysis was conducted on a cohort of 495 patients with anterior circulation stroke who received EVT. CSVD burden was assessed using a CSVD score based on neuroimaging features. IGR was calculated from diffusion-weighted imaging (DWI) lesion volumes divided by the time from stroke onset to imaging. Clinical outcomes included stroke progression and functional outcomes at 3 months. Multivariate analyses were performed to assess the relationship between CSVD burden, IGR, and clinical outcomes. The fast IGR group had a higher proportion of high CSVD scores than the slow IGR group (24.4% vs. 0.8%, p < 0.001). High CSVD burden was significantly associated with a faster IGR (odds ratio [95% confidence interval], 26.26 [6.26-110.14], p < 0.001) after adjusting for confounding factors. High CSVD burden also independently predicted stroke progression and poor functional outcomes. This study highlights a significant relationship between CSVD burden and IGR in LVO stroke patients undergoing EVT. High CSVD burden was associated with faster infarct growth and worse clinical outcomes.
Collapse
Affiliation(s)
- Jong-Hee Sohn
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon 24253, Republic of Korea; (J.-H.S.); (C.K.); (J.H.S.); (S.-W.H.)
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
| | - Yejin Kim
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon 24253, Republic of Korea; (J.-H.S.); (C.K.); (J.H.S.); (S.-W.H.)
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
| | - Joo Hye Sung
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon 24253, Republic of Korea; (J.-H.S.); (C.K.); (J.H.S.); (S.-W.H.)
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
| | - Sang-Won Han
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon 24253, Republic of Korea; (J.-H.S.); (C.K.); (J.H.S.); (S.-W.H.)
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
| | - Yerim Kim
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 05355, Republic of Korea; (Y.K.); (S.-H.P.)
| | - Soo-Hyun Park
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 05355, Republic of Korea; (Y.K.); (S.-H.P.)
| | - Minwoo Lee
- Department of Neurology, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea; (M.L.); (K.-H.Y.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea; (M.L.); (K.-H.Y.)
| | - Jae Jun Lee
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon 24253, Republic of Korea; (J.-H.S.); (C.K.); (J.H.S.); (S.-W.H.)
- Institute of New Frontier Research Team, Hallym University, Chuncheon 24252, Republic of Korea; (Y.K.); (J.J.L.)
| |
Collapse
|
23
|
Zeng G, Zhou Y, Yang Y, Ruan L, Tan L, Luo H, Ruan J. Neural oscillations after acute large artery atherosclerotic cerebral infarction during resting state and sleep spindles. J Sleep Res 2023; 32:e13889. [PMID: 36944554 DOI: 10.1111/jsr.13889] [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: 12/14/2022] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
Electroencephalogram-microstate analysis was conducted using low-resolution electromagnetic tomography (LORETA)-KEY to evaluate dynamic brain network changes in patients with acute large artery atherosclerotic cerebral infarction (LAACI) during the rest and sleep stages. This study included 35 age- and sex-matched healthy controls and 34 patients with acute LAACI. Each participant performed a 3-h, 19-channel video electroencephalogram test. Subsequently, 20 epochs of 2-s sleep spindles during stage N2 sleep and five epochs of 10-s electroencephalogram data in the resting state for each participant were obtained. In both the resting state and sleep spindles, patients with LAACI displayed altered neural oscillations. The parameters of microstate A (coverage, occurrence, and duration) increased during the resting state in the patients with LAACI compared with healthy controls. The coverage and occurrence of microstate B and D were reduced in the LAACI group compared with the healthy controls (p < 0.05). Moreover, during sleep spindles, the duration of microstate A and the transition probability from microstate A and B to C decreased, but the coverage of microstate B and the transition rate from microstate B to D increased (p < 0.05) in the LAACI group compared with the healthy controls. These results enable better understanding of how neural oscillations are modified in patients with LAACI during the resting state and sleep spindles. Following LAACI, the dynamic brain network undergoes changes during sleep spindles and the resting state. Continued long-term investigations are required to determine how well these changes in brain dynamics reflect the clinical characteristics of patients with LAACI.
Collapse
Affiliation(s)
- Guoli Zeng
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Neurology, Luzhou People's Hospital, Luzhou, China
| | - Yan Zhou
- Department of Neurology, Jianyang People's Hospital, Jianyang, China
| | - Yushu Yang
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, Luzhou, China
| | - Lili Ruan
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, Luzhou, China
| | - Linjie Tan
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, Luzhou, China
| | - Hua Luo
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, Luzhou, China
| | - Jianghai Ruan
- Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, Luzhou, China
| |
Collapse
|
24
|
Kim JT, Kang J, Kim BJ, Kim JY, Han MK, Cho KH, Park MS, Choi KH, Park JM, Kang K, Kim YS, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Park SS, Choi JK, Lee K, Park KY, Jeong HB, Lee J, Kwon DH, Cho YJ, Hong KS, Park HK, Lee BC, Yu KH, Oh MS, Lee M, Kim DE, Gwak DS, Choi JC, Kim JG, Kang CH, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Park H, Kim C, Lee SH, Lee J, Gorelick PB, Norrving B, Bae HJ. Dual antiplatelet Use for extended period taRgeted to AcuTe ischemic stroke with presumed atherosclerotic OrigiN (DURATION) trial: Rationale and design. Int J Stroke 2023; 18:1015-1020. [PMID: 36974902 DOI: 10.1177/17474930231168742] [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: 03/29/2023]
Abstract
RATIONALE The optimal duration of dual antiplatelet therapy (DAPT) with clopidogrel-aspirin for the large artery atherosclerotic (LAA) stroke subtype has been debated. AIMS To determine whether the 1-year risk of recurrent vascular events could be reduced by a longer duration of DAPT in patients with the LAA stroke subtype. METHODS AND STUDY DESIGN A total of 4806 participants will be recruited to detect a statistically significant relative risk reduction of 22% with 80% power and a two-sided alpha error of 0.05, including a 10% loss to follow-up. This is a registry-based, multicenter, prospective, randomized, open-label, blinded end point study designed to evaluate the efficacy and safety of a 12-month duration of DAPT compared with a 3-month duration of DAPT in the LAA stroke subtype. Patients will be randomized (1:1) to either DAPT for 12 months or DAPT for 3 months, followed by monotherapy (either aspirin or clopidogrel) for the remaining 9 months. STUDY OUTCOMES The primary efficacy outcome of the study is a composite of stroke (ischemic or hemorrhagic), myocardial infarction, and all-cause mortality for 1 year after the index stroke. The secondary efficacy outcomes are (1) stroke, (2) ischemic stroke or transient ischemic attack, (3) hemorrhagic stroke, and (4) all-cause mortality. The primary safety outcome is major bleeding. DISCUSSION This study will help stroke physicians determine the appropriate duration of dual therapy with clopidogrel-aspirin for patients with the LAA stroke subtype. TRIAL REGISTRATION URL: https://cris.nih.go.kr/cris. CRIS Registration Number: KCT0004407.
Collapse
Affiliation(s)
- Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jun Yup Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Moon-Ku Han
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Ki-Hyun Cho
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Man-Seok Park
- 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
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Yong Soo Kim
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, 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
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Jin Kyo Choi
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Korea
| | | | - Hae-Bong Jeong
- Department of Neurology, Chung-Ang University, Seoul, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Korea
| | - Doo Hyuk Kwon
- Department of Neurology, Yeungnam University Hospital, Daegu, Korea
| | - Yong-Jin Cho
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea
| | - Keun-Sik Hong
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, 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
| | - Minwoo Lee
- 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
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Chul-Hoo Kang
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Jee-Hyun Kwon
- Department of Neurology, College of Medicine, University of Ulsan, Ulsan, Korea
| | - Wook-Joo Kim
- Department of Neurology, College of Medicine, University of Ulsan, Ulsan, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Chulho Kim
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Republic of Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Republic of Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Philip B Gorelick
- Division of Stroke and Neurocritical Care, The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Bo Norrving
- Neurology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
- Neurology, Skåne University Hospital Lund/Malmö, Malmö, Sweden
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| |
Collapse
|
25
|
Sun TH, Wang CC, Wu YL, Hsu KC, Lee TH. Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis. Sci Rep 2023; 13:15139. [PMID: 37704672 PMCID: PMC10499778 DOI: 10.1038/s41598-023-42338-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/08/2023] [Indexed: 09/15/2023] Open
Abstract
Large-artery atherosclerosis (LAA) is a leading cause of cerebrovascular disease. However, LAA diagnosis is costly and needs professional identification. Many metabolites have been identified as biomarkers of specific traits. However, there are inconsistent findings regarding suitable biomarkers for the prediction of LAA. In this study, we propose a new method integrates multiple machine learning algorithms and feature selection method to handle multidimensional data. Among the six machine learning models, logistic regression (LR) model exhibited the best prediction performance. The value of area under the receiver operating characteristic curve (AUC) was 0.92 when 62 features were incorporated in the external validation set for the LR model. In this model, LAA could be well predicted by clinical risk factors including body mass index, smoking, and medications for controlling diabetes, hypertension, and hyperlipidemia as well as metabolites involved in aminoacyl-tRNA biosynthesis and lipid metabolism. In addition, we found that 27 features were present among the five adopted models that could provide good results. If these 27 features were used in the LR model, an AUC value of 0.93 could be achieved. Our study has demonstrated the effectiveness of combining machine learning algorithms with recursive feature elimination and cross-validation methods for biomarker identification. Moreover, we have shown that using shared features can yield more reliable correlations than either model, which can be valuable for future identification of LAA.
Collapse
Affiliation(s)
- Ting-Hsuan Sun
- Artificial Intelligence Center, China Medical University Hospital, Taichung, Taiwan
| | - Chia-Chun Wang
- Artificial Intelligence Center, China Medical University Hospital, Taichung, Taiwan
| | - Ya-Lun Wu
- Artificial Intelligence Center, China Medical University Hospital, Taichung, Taiwan
| | - Kai-Cheng Hsu
- Artificial Intelligence Center, China Medical University Hospital, Taichung, Taiwan.
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.
- Department of Medicine, China Medical University, Taichung, Taiwan.
| | - Tsong-Hai Lee
- Stroke Center and Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| |
Collapse
|
26
|
Lee KJ, Kim H, Lee SJ, Duperron MG, Debette S, Bae HJ, Sung J. Causal Effect of the 25-Hydroxyvitamin D Concentration on Cerebral Small Vessel Disease: A Mendelian Randomization Study. Stroke 2023; 54:2338-2346. [PMID: 37465996 PMCID: PMC10453327 DOI: 10.1161/strokeaha.123.042980] [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: 02/19/2023] [Revised: 05/31/2023] [Accepted: 06/13/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Previous observational studies reported that a lower serum 25-hydroxyvitamin D [25(OH)D] concentration is associated with a higher burden of cerebral small vessel disease (cSVD). The causality of this association is uncertain, but it would be clinically important, given that 25(OH)D can be a target for intervention. We tried to examine the causal effect of 25(OH)D concentration on cSVD-related phenotypes using a Mendelian randomization approach. METHODS Genetic instruments for each serum 25(OH)D concentration and cSVD-related phenotypes (lacunar stroke, white matter hyperintensity, cerebral microbleeds, and perivascular spaces) were derived from large-scale genome-wide association studies. We performed 2-sample Mendelian randomization analyses with multiple post hoc sensitivity analyses. A bidirectional Mendelian randomization approach was also used to explore the possibility of reverse causation. RESULTS We failed to find any significant causal effect of 25(OH)D concentration on cSVD-related phenotypes (odds ratio [95% CI], 1.00 [0.87-1.16], 1.01 [0.96-1.07], 1.06 [0.85-1.33], 1.00 [0.97-1.03], 1.02 [0.99-1.04], 1.01 [0.99-1.04] for lacunar stroke, white matter hyperintensity, cerebral microbleeds, and white matter, basal ganglia, hippocampal perivascular spaces, respectively). These results were reproduced in the sensitivity analyses accounting for genetic pleiotropy. Conversely, when we examined the effects of cSVD phenotypes on 25(OH)D concentration, cerebral microbleeds were negatively associated with 25(OH)D concentration (0.94 [0.92-0.96]). CONCLUSIONS Given the adequate statistical power (>0.8) of the analyses, our findings suggest that the previously reported association between 25(OH)D concentration and cSVD phenotypes might not be causal and partly attributed to reverse causation.
Collapse
Affiliation(s)
- Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea (K.-J.L.)
| | - Hakyung Kim
- Genome and Health Big Data Laboratory, Department of Public Health, Graduate School of Public Health (H.K., S.J.L., J.S.), Seoul National University, Republic of Korea
| | - Soo Ji Lee
- Genome and Health Big Data Laboratory, Department of Public Health, Graduate School of Public Health (H.K., S.J.L., J.S.), Seoul National University, Republic of Korea
- Health and Environment Institute (S.J.L., J.S.), Seoul National University, Republic of Korea
| | | | - Stéphanie Debette
- Bordeaux Population Health Research Center, University of Bordeaux, France (M.-G.D., S.D.)
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea (H.-J.B.)
| | - Joohon Sung
- Genome and Health Big Data Laboratory, Department of Public Health, Graduate School of Public Health (H.K., S.J.L., J.S.), Seoul National University, Republic of Korea
- Health and Environment Institute (S.J.L., J.S.), Seoul National University, Republic of Korea
| |
Collapse
|
27
|
Kim JT, Lee JS, Kim BJ, Kang J, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee K, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Choi KH, Lee J, Park KY, Bae HJ. Admission LDL-cholesterol, statin pretreatment and early outcomes in acute ischemic stroke. J Clin Lipidol 2023; 17:612-621. [PMID: 37574400 DOI: 10.1016/j.jacl.2023.08.002] [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: 05/09/2023] [Revised: 07/29/2023] [Accepted: 08/03/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND Lipid paradox of low LDL-C may cause physicians to be reluctant to use statins in acute ischemic stroke (AIS) patients with low LDL-C levels at admission. OBJECTIVE This study investigated the association between LDL-C levels and early vascular outcomes and assessed the potential interaction effect between LDL-C and statin pretreatment on early outcomes. PATIENTS AND METHODS This was a study of a prospective, multicenter, registry of AIS patients with admission LDL-C. The subjects were divided into 3 groups according to LDL-C levels: low LDL-C (≤100 mg/dL); intermediate LDL-C (>100, <130 mg/dL); and high LDL-C (≥130 mg/dL). The primary early vascular outcome was a composite of stroke (ischemic or hemorrhagic), myocardial infarction and all-cause mortality within 3 months. The associations of LDL-C levels as a continuous variable and the risks of primary outcome using Cox proportional hazards models with restricted cubic splines were explored. RESULTS A total of 32,505 patients (age, 69 ± 12; male, 58.6%) were analyzed. The 3 groups showed significant differences in the 3-month primary outcome, with highest events in the low LDL-C group; after adjustment, no significant associations with the 3-month primary outcome remained. U-shaped nonlinear relationships of LDL-C levels with the 3-month primary outcome were observed (Pnon-linearity<0.001), with substantial relationships in the no pretreatment subgroup. CONCLUSIONS The relationships between admission LDL-C levels and early outcomes are complex but appear to be paradoxical in patients with low LDL-C and no statin pretreatment. The results suggest that statin pretreatment might offset the paradoxical response of low LDL-C on early vascular outcomes. Further study would be warranted.
Collapse
Affiliation(s)
- Joon-Tae Kim
- Department of Neurology (Drs Kim, Park, Choi), Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea.
| | - Ji Sung Lee
- Clinical Research Center (Dr Lee), Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Beom Joon Kim
- Department of Neurology (Drs Kim, Kang, Lee, Bae), Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jihoon Kang
- Department of Neurology (Drs Kim, Kang, Lee, Bae), Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Keon-Joo Lee
- Department of Neurology (Dr Lee), Korea University Guro Hospital, Seoul, Korea
| | - Jong-Moo Park
- Department of Neurology (Dr Park), Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Korea
| | - Kyusik Kang
- Department of Neurology (Dr Kang), Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Soo Joo Lee
- Department of Neurology (Drs Lee, Kim), Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology (Drs Lee, Kim), Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Jae-Kwan Cha
- Department of Neurology (Drs Cha, Kim), Dong-A University Hospital, Busan, Korea
| | - Dae-Hyun Kim
- Department of Neurology (Drs Cha, Kim), Dong-A University Hospital, Busan, Korea
| | - Tai Hwan Park
- Department of Neurology (Dr Park), Seoul Medical Center, Seoul, Korea
| | - Kyungbok Lee
- Department of Neurology (Dr Lee), Soonchunhyang University Hospital, Seoul, Korea
| | - Jun Lee
- Department of Neurology (Dr Lee), Yeungnam University Hospital, Daegu, Korea
| | - Keun-Sik Hong
- Department of Neurology (Drs Hong, Cho, Park), Ilsan Paik Hospital, Inje University, Goyang, Korea
| | - Yong-Jin Cho
- Department of Neurology (Drs Hong, Cho, Park), Ilsan Paik Hospital, Inje University, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology (Drs Hong, Cho, Park), Ilsan Paik Hospital, Inje University, Goyang, Korea
| | - Byung-Chul Lee
- Department of Neurology (Drs Lee, Yu, Oh), Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kyung-Ho Yu
- Department of Neurology (Drs Lee, Yu, Oh), Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Mi Sun Oh
- Department of Neurology (Drs Lee, Yu, Oh), Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Dong-Eog Kim
- Department of Neurology (Drs Kim, Ryu), Dongguk University Ilsan Hospital, Goyang, Korea
| | - Wi-Sun Ryu
- Department of Neurology (Drs Kim, Ryu), Dongguk University Ilsan Hospital, Goyang, Korea
| | - Jay Chol Choi
- Department of Neurology (Dr Choi), Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Jee-Hyun Kwon
- Department of Neurology (Drs Kwon, Kim), Ulsan University College of Medicine, Ulsan, Korea
| | - Wook-Joo Kim
- Department of Neurology (Drs Kwon, Kim), Ulsan University College of Medicine, Ulsan, Korea
| | - Dong-Ick Shin
- Department of Neurology (Drs Shin, Yum), Chungbuk National University Hospital, Cheongju, Korea
| | - Kyu Sun Yum
- Department of Neurology (Drs Shin, Yum), Chungbuk National University Hospital, Cheongju, Korea
| | - Sung Il Sohn
- Department of Neurology (Drs Sohn, Hong), Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology (Drs Sohn, Hong), Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Sang-Hwa Lee
- Department of Neurology (Dr Lee), Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Republic of Korea
| | - Man-Seok Park
- Department of Neurology (Drs Kim, Park, Choi), Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology (Drs Kim, Park, Choi), Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Juneyoung Lee
- Department of Biostatistics (Dr Lee), Korea University College of Medicine, Seoul, Korea
| | - Kwang-Yeol Park
- Department of Neurology (Dr Park), Chung-Ang University College of Medicine, Chung-Ang University Hospital, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology (Drs Kim, Kang, Lee, Bae), Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea.
| |
Collapse
|
28
|
Kang K, Park JM, Ryu WS, Jeong SW, Kim DE, Park HK, Cho YJ, Hong KS, Lee KB, Park TH, Park SS, Lee J, Kim BJ, Han MK, Bae HJ. Body mass index and waist circumference as predictors of recurrent vascular events after a recent ischemic stroke. J Stroke Cerebrovasc Dis 2023; 32:107221. [PMID: 37437503 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107221] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 05/11/2023] [Accepted: 06/12/2023] [Indexed: 07/14/2023] Open
Abstract
OBJECTIVES Although elevated body mass index (BMI) is a risk factor for stroke, it appears to protect against recurrent vascular events. We tried to evaluate BMI and waist circumference (WC) as predictors of recurrent stroke and vascular events in a cohort of stroke survivors who were followed for 12 months. MATERIALS AND METHODS We analyzed the stroke registry database of 6 hospitals and recruited patients with a first-ever stroke who were admitted from January 2011 to November 2019 and had their BMI and WC measured. Cox proportional hazards models were used to compare risks of recurrent stroke and major vascular events (a composite of stroke, myocardial infarction, or vascular death) between different BMI and WC quintiles. Reference categories were patients in the lowest quintiles. RESULTS A total of 14 781 patients were analyzed. Patients in the second quintile of BMI had the lowest risk of recurrent stroke (adjusted hazard ratio (HR) 0.72; 95% confidence interval (CI) 0.58-0.91); patients in the highest quintile had the lowest risk or a major vascular event (adjusted HR 0.71; 95% CI 0.58-0.86). Patients in the fourth quintile of WC had the lowest risk of recurrent stroke (adjusted HR 0.73; 95% CI 0.59-0.91) and a major vascular event (adjusted HR 0.72; 95 % CI 0.60-0.86). CONCLUSIONS Our results show favorable effects of excess body weight and intra-abdominal fat on avoidance of vascular events after stroke and a favorable effect of intra-abdominal fat on avoidance of recurrent stroke.
Collapse
Affiliation(s)
- Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Republic of Korea.
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Sang-Wuk Jeong
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Republic of Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Moon-Ku Han
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
29
|
Yang BSK, Jang M, Lee KJ, Kim BJ, Han MK, Kim JT, Choi KH, Cha JK, Kim DH, Kim DE, Ryu WS, Park JM, Kang K, Lee SJ, Kim JG, Oh MS, Yu KH, Lee BC, Hong KS, Cho YJ, Choi JC, Park TH, Lee KB, Kwon JH, Kim WJ, Sohn SI, Hong JH, Lee J, Lee SH, Lee JS, Lee J, Gorelick PB, Bae HJ. Comparison of Hospital Performance in Acute Ischemic Stroke Based on Mortality and Functional Outcome in South Korea. Circ Cardiovasc Qual Outcomes 2023; 16:554-565. [PMID: 37465993 DOI: 10.1161/circoutcomes.122.009653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 06/14/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Recent evidence suggests a correlation between modified Rankin Scale-based measures, an outcome measure commonly used in acute stroke trials, and mortality-based measures used by health agencies in the evaluation of hospital performance. We aimed to examine whether the 2 types of measures are interchangeable in relation to evaluation of hospital performance in acute ischemic stroke. METHODS Five outcome measures, unfavorable functional outcome (3-month modified Rankin Scale score ≥2), death or dependency (3-month modified Rankin Scale score ≥3), 1-month mortality, 3-month mortality, and 1-year mortality, were collected for 8292 individuals who were hospitalized for acute ischemic stroke between January 2014 and May 2015 in 14 hospitals participating in the Clinical Research Collaboration for Stroke in Korea - National Institute of Health registry. Hierarchical regression models were used to calculate per-hospital risk-adjusted outcome rates for each measure. Hospitals were ranked and grouped based on the risk-adjusted outcome rates, and the correlations between the modified Rankin Scale-based and mortality-based ranking and their intermeasure reliability in categorizing hospital performance were analyzed. RESULTS The comparison between the ranking based on the unfavorable functional outcome and that based on 1-year mortality resulted in a Spearman correlation coefficient of -0.29 and Kendall rank coefficient of -0.23, and the comparison of grouping based on these 2 types of ranks resulted in a weighted kappa of 0.123 for the grouping in the top 33%/middle 33%/bottom 33% and 0.25 for the grouping in the top 20%/middle 60%/bottom 20%, respectively. No significant correlation or similarity in grouping capacities were found between the rankings based on the functional outcome measures and those based on the mortality measures. CONCLUSIONS This study shows that regardless of clinical correlation at an individual patient level, functional outcome-based measures and mortality-based measures are not interchangeable in the evaluation of hospital performance in acute ischemic stroke.
Collapse
Affiliation(s)
- Bosco Seong Kyu Yang
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (B.S.K.Y., K.-J.L., B.J.K., M.-K.H., H.-J.B.)
| | - Minuk Jang
- Department of Neurology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea (M.-J.)
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (B.S.K.Y., K.-J.L., B.J.K., M.-K.H., H.-J.B.)
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea (K.-J.L.)
| | - Beom Joon Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (B.S.K.Y., K.-J.L., B.J.K., M.-K.H., H.-J.B.)
| | - Moon-Ku Han
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (B.S.K.Y., K.-J.L., B.J.K., M.-K.H., H.-J.B.)
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea (J.-T.K., K.-H.C.)
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea (J.-T.K., K.-H.C.)
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea (J.-K.C., D.-H.K.)
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea (J.-K.C., D.-H.K.)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea (D.-E.K., W.-S.R.)
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea (D.-E.K., W.-S.R.)
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Seoul, Republic of Korea (J.-M.P.)
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea (K.K.)
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Daejeon, Republic of Korea (S.J.L.)
| | - Jae Guk Kim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea (J.G.K., M.-S.O., K.-H.Y., B.-C.L.)
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea (J.G.K., M.-S.O., K.-H.Y., B.-C.L.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea (J.G.K., M.-S.O., K.-H.Y., B.-C.L.)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea (J.G.K., M.-S.O., K.-H.Y., B.-C.L.)
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea (K.-S.H., Y.-J.C.)
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea (K.-S.H., Y.-J.C.)
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Republic of Korea (J.C.C.)
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Republic of Korea (T.H.P.)
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, College of Medicine, Seoul, Republic of Korea (K.B.L.)
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Republic of Korea (J.-H.K., W.-J.K.)
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Republic of Korea (J.-H.K., W.-J.K.)
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea (S.I.S., J.-H.H.)
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea (S.I.S., J.-H.H.)
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Republic of Korea (J.L.)
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, South Korea (S.-H.L.)
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Seoul, Republic of Korea (J.S.L.)
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul (J.L.)
| | - Philip B Gorelick
- Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL (P.B.G.)
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (B.S.K.Y., K.-J.L., B.J.K., M.-K.H., H.-J.B.)
| |
Collapse
|
30
|
Woo HG, Kim HG, Lee KM, Ha SH, Jo H, Heo SH, Chang DI, Kim BJ. Blood viscosity associated with stroke mechanism and early neurological deterioration in middle cerebral artery atherosclerosis. Sci Rep 2023; 13:9384. [PMID: 37296267 PMCID: PMC10256783 DOI: 10.1038/s41598-023-36633-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023] Open
Abstract
Blood viscosity may affect the mechanisms of stroke and early neurological deterioration (END). We aimed to investigate the relationship between blood viscosity, stroke mechanisms, and END in patients with middle cerebral artery (MCA) infarction. Patients with symptomatic MCA atherosclerosis (≥ 50% stenosis) were recruited. Blood viscosity was compared across patients with different mechanisms of symptomatic MCA disease: in situ thrombo-occlusion (sMCA-IST), artery-to-artery embolism (sMCA-AAE), and local branch occlusion (sMCA-LBO). END was defined as four points increase in the National Institutes of Health Stroke Scale score from baseline during the first week. The association between blood viscosity and END was also evaluated. A total of 360 patients (76 with sMCA-IST, 216 with sMCA-AAE, and 68 with sMCA-LBO) were investigated. Blood viscosity was highest in patients with sMCA-IST, followed by sMCA-AAE and sMCA-LBO (P < 0.001). Blood viscosity was associated with END in patients with MCA disease. Low shear viscosity was associated with END in patients with sMCA- LBO (adjusted odds ratio, aOR 1.524; 95% confidence interval, CI 1.035-2.246), sMCA- IST (aOR 1.365; 95% CI 1.013-1.839), and sMCA- AAE (aOR 1.285; 95% CI 1.010-1.634). Blood viscosity was related to END in patients with stroke caused by MCA disease.
Collapse
Affiliation(s)
- Ho Geol Woo
- Department of Neurology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Hyug-Gi Kim
- Department of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Kyung Mi Lee
- Department of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Sang Hee Ha
- Department of Neurology, Gil Medical Center, Gachon University, Incheon, Korea
| | - HangJin Jo
- Department of Mechanical Engineering and Division of Advanced Nuclear Engineering, POSTECH, Pohang, Gyeongbuk, Korea
| | - Sung Hyuk Heo
- Department of Neurology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Dae-Il Chang
- Department of Neurology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, University of Ulsan, College of Medicine, Song-Pa, PO Box 145, Seoul, 138-600, Korea.
| |
Collapse
|
31
|
Park HK, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Han MK, Kang J, Kim BJ, Park TH, Park MS, Lee KB, Lee J, Hong KS, Cho YJ, Lee BC, Yu KH, Oh MS, Kim JT, Choi KH, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Sohn SI, Hong JH, Lee J, Lee K, Song J, Bae JS, Cheong HS, Debette S, Bae HJ. Prevalence of Mutations in Mendelian Stroke Genes in Early Onset Stroke Patients. Ann Neurol 2023; 93:768-782. [PMID: 36541592 DOI: 10.1002/ana.26575] [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: 03/15/2022] [Revised: 11/25/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Heritability of stroke is assumed not to be low, especially in the young stroke population. However, most genetic studies have been performed in highly selected patients with typical clinical or neuroimaging characteristics. We investigated the prevalence of 15 Mendelian stroke genes and explored the relationships between variants and the clinical and neuroimaging characteristics in a large, unselected, young stroke population. METHODS We enrolled patients aged ≤55 years with stroke or transient ischemic attack from a prospective, nationwide, multicenter stroke registry. We identified clinically relevant genetic variants (CRGVs) in 15 Mendelian stroke genes (GLA, NOTCH3, HTRA1, RNF213, ACVRL1, ENG, CBS, TREX1, ABCC6, COL4A1, FBN1, NF1, COL3A1, MT-TL1, and APP) using a customized, targeted next generation sequencing panel. RESULTS Among 1,033 patients, 131 (12.7%) had 28 CRGVs, most frequently in RNF213 (n = 59), followed by ABCC6 (n = 53) and NOTCH3 (n = 15). The frequency of CRGVs differed by ischemic stroke subtypes (p < 0.01): the highest in other determined etiology (20.1%), followed by large artery atherosclerosis (13.6%). It also differed between patients aged ≤35 years and those aged 51 to 55 years (17.1% vs 9.3%, p = 0.02). Only 27.1% and 26.7% of patients with RNF213 and NOTCH3 variants had typical neuroimaging features of the corresponding disorders, respectively. Variants of uncertain significance (VUSs) were found in 15.4% patients. INTERPRETATION CRGVs in 15 Mendelian stroke genes may not be uncommon in the young stroke population. The majority of patients with CRGVs did not have typical features of the corresponding monogenic disorders. Clinical implications of having CRGVs or VUSs should be explored. ANN NEUROL 2023;93:768-782.
Collapse
Affiliation(s)
- Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
- Department of Neurology, Korea University Guro Hospital, Seoul, South Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, South Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, South Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, South Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, South Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Moon-Ku Han
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Moo-Seok Park
- Department of Neurology, Seoul Hospital, Ewha Woman's University College of Medicine, Seoul, South Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, South Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, South Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, South Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, South Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea
- Research Center for Artificial Intelligence, JLK Corporation, Seoul, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, South Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk University Hospital, Cheongju, South Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea
| | - Kyunghoon Lee
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Junghan Song
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Joon Seol Bae
- Research Institute of Future Medicine, Samsung Medical Center, Seoul, South Korea
| | - Hyun Sub Cheong
- Research Institute for Life Science, GW Vitek, Seoul, South Korea
| | - Stéphanie Debette
- University of Bordeaux, Bordeaux Population Health Research Center, Bordeaux, France
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| |
Collapse
|
32
|
Kim Y, Lee M, Mo HJ, Kim C, Sohn JH, Yu KH, Lee SH. The association between malnutrition status and hemorrhagic transformation in patients with acute ischemic stroke receiving intravenous thrombolysis. BMC Neurol 2023; 23:106. [PMID: 36918775 PMCID: PMC10012700 DOI: 10.1186/s12883-023-03152-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/08/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVES We evaluated the impact of malnutrition as estimated by the controlling nutritional status (CONUT) score and prognostic nutritional index (PNI) on hemorrhagic transformation (HT) and stroke outcomes after intravenous thrombolysis (IVT). MATERIALS AND METHODS Using a multicenter registry database, we enrolled 808 patients with acute ischemic stroke who received IVT between August 2013 and May 2021. We defined malnutrition as a CONUT score ≥ 2 and low PNI. The primary outcome measure was the occurrence of symptomatic HT contributing to early neurologic deterioration (END-SHT) after IVT. Multivariable analysis was performed to analyze the association between CONUT score, PNI, and END-SHT after IVT. RESULTS The rate of END-SHT was higher with increasing CONUT scores and PNI values. In the multivariable analysis, CONUT score ≥ 5 and low PNI were significantly associated with END-SHT (odds ratio [95% confidence interval], CONUT score ≥ 5: 12.23 [2.41-62.07], p = 0.003; low PNI: 4.98 [1.76-14.09], p = 0.003). The receiver operating characteristic curve showed that both the CONUT score and PNI had good predictive ability. The cutoff values for CONUT and PNI were 5 and 42.3, respectively, for END-SHT. CONCLUSION Malnutrition, as denoted by a higher CONUT score and lower PNI, was associated with END-SHT. The joint application of both nutritional markers could be useful in predicting END-SHT after IVT.
Collapse
Affiliation(s)
- Yerim Kim
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Minwoo Lee
- Department of Neurology, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang, South Korea
| | - Hee Jung Mo
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon, South Korea.,Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea
| | - Jong-Hee Sohn
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon, South Korea.,Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang, South Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon, South Korea. .,Institute of New Frontier Research Team, Hallym University, Chuncheon, South Korea.
| |
Collapse
|
33
|
Kim JT, Lee JS, Kim BJ, Kang J, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Choi KH, Ryu WS, Lee J, Saver JL, Bae HJ. Admission hyperglycemia, stroke subtypes, outcomes in acute ischemic stroke. Diabetes Res Clin Pract 2023; 196:110257. [PMID: 36642337 DOI: 10.1016/j.diabres.2023.110257] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/07/2023] [Accepted: 01/10/2023] [Indexed: 01/13/2023]
Abstract
AIMS Whether admission hyperglycemia is differentially associated with early vascular outcomes in acute ischemic stroke (AIS) depending on stroke subtype has been incompletely delineated. METHODS In a multicenter, prospective stroke registry, patients with AIS were categorized based on admission glucose levels into normoglycemia, moderate hyperglycemia, and severe hyperglycemia (<140mg/dl, 140-179mg/dl, and ≥180mg/dl, respectively) groups. Multivariate analysis assessed the interaction between the hyperglycemia and ischemic stroke subtypes of large artery atherothrombosis (LAA), cardioembolism (CE), and small vessel occlusion (SVO) and early vascular outcomes (3-month stroke, all-cause mortality, and composite of stroke, MI, and all-cause mortality). RESULTS Among the 32,772 patients (age:69.0±12.6yrs, male:58.4%) meeting eligibility criteria, 61.9% were in the normoglycemia group, 19.5% were in the moderate hyperglycemia group, and 18.7% were in the severe hyperglycemia group. Substantial interactions between hyperglycemia groups and stroke subtypes were observed for 3-month stroke (Pinteraction = 0.003) and composite of stroke, MI, and all-cause mortality (Pinteraction = 0.001), with differential recurrence strongest among CE, intermediate among LAA, and least among SVO. CONCLUSIONS Hyperglycemia was differently associated with the risk of 3-month stroke by ischemic stroke subtype. The associations of hyperglycemia with 3-month stroke were greatest in CE subtype but not in SVO subtype. These results suggest that the effect of glucose-lowering treatment after AIS may differ according to stroke subtype.
Collapse
Affiliation(s)
- Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Keon-Joo Lee
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Republic of Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Republic of Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Republic of Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Republic of Korea
| | - Keun-Sik Hong
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Yong-Jin Cho
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Hong-Kyun Park
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Republic of Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, Republic of Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, Republic of Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Republic of Korea
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea; Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of California, Los Angeles, CA, United States
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
| |
Collapse
|
34
|
Kim JT, Lee JS, Kim BJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Choi KH, Lee J, Saver JL, Bae HJ. Frequency, management, and outcomes of early neurologic deterioration due to stroke progression or recurrence. J Stroke Cerebrovasc Dis 2023; 32:106940. [PMID: 36529099 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106940] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/23/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE The frequency, management, and outcomes of early neurologic deterioration (END) after ischemic stroke specifically due to stroke progression or stroke recurrence have not been well delineated. MATERIALS AND METHODS In a multicenter, nationwide registry, data on END due to stroke progression or recurrence confirmed by imaging were collected prospectively between January 2019 and July 2020. Patient characteristics, management strategies, and clinical outcomes were analyzed. RESULTS Among 14,828 consecutive ischemic stroke patients, 1717 (11.6%) experienced END, including 1221 (8.2%) with END due to stroke progression (SP) or stroke recurrence (SR). Active management after END was implemented in 64.2% of patients. Active management strategies included volume expansion (29.2%), change in antithrombotic regimen (26.1%), induced hypertension (8.6%), rescue reperfusion therapy (6.8%), intracranial pressure lowering with hyperosmolar agents (1.5%), bypass surgery (0.6%), and hypothermia (0.1%). Active management strategies that varied with patient features included volume expansion and induced hypertension, used more often in large artery atherosclerosis and small vessel occlusion, and rescue endovascular thrombectomy, more common in other (dissection), cardioembolism, and large artery atherosclerosis. Active management was associated with higher rates of freedom from disability (modified Rankin Scale, mRS, 0-1; 24.3% vs. 16.6%) and functional independence (mRS, 0-2; 41.6% vs. 27.7%) at 3 months. CONCLUSION END specifically due to stroke progression or recurrence occurs in 1 in 12 acute ischemic stroke patients. In this observational study, active management, undertaken in two-thirds of patients, was most often hemodynamic or antithrombotic and was associated with improved functional outcomes.
Collapse
Affiliation(s)
- Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju 61469, Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Cerebrovascular Disease Center, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Republic of Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Republic of Korea
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Republic of Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Republic of Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Republic of Korea
| | - Keun-Sik Hong
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Yong-Jin Cho
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Hong-Kyun Park
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea; Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Republic of Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, Republic of Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, Republic of Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Sang-Hwa Lee
- Department of Neurology, Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Republic of Korea
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju 61469, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju 61469, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of California, Los Angeles, CA, United States
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University College of Medicine, Cerebrovascular Disease Center, Seoul National University Bundang Hospital, 82, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea.
| |
Collapse
|
35
|
Woo HG, Kim HG, Lee KM, Ha SH, Jo H, Heo SH, Chang DI, Liebeskind DS, Kim BJ. Wall Shear Stress Associated with Stroke Occurrence and Mechanisms in Middle Cerebral Artery Atherosclerosis. J Stroke 2023; 25:132-140. [PMID: 36746383 PMCID: PMC9911838 DOI: 10.5853/jos.2022.02754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 11/27/2022] [Accepted: 12/08/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND AND PURPOSE Various mechanisms are involved in the etiology of stroke caused by atherosclerosis of the middle cerebral artery (MCA). Here, we compared differences in plaque nature and hemodynamic parameters according to stroke mechanism in patients with MCA atherosclerosis. METHODS Consecutive patients with asymptomatic and symptomatic MCA atherosclerosis (≥50% stenosis) were enrolled. MCA plaque characteristics (location and plaque enhancement) and wall shear stress (WSS) were measured using high-resolution vessel wall and four-dimensional flow magnetic resonance imaging, respectively, at five points (initial, upstream, minimal lumen, downstream, and terminal). These parameters were compared between patients with asymptomatic and symptomatic MCA atherosclerosis with infarctions of different mechanisms (artery-to-artery embolism vs. local branch occlusion). RESULTS In total, 110 patients (46 asymptomatic, 32 artery-to-artery embolisms, and 32 local branch occlusions) were investigated. Plaques were evenly distributed in the MCA of patients with asymptomatic MCA atherosclerosis, more commonly observed in the distal MCA of patients with artery-to-artery embolism, and in the middle MCA of patients with local branch occlusion. Maximum WSS and plaque enhancement were more prominent in the minimum lumen area of patients with asymptomatic MCA atherosclerosis or those with local branch occlusion, and were more prominent in the upstream area in those with artery-to-artery embolism. The elevated variability in the maximum WSS was related to stroke caused by artery-to-artery embolism. CONCLUSION Stroke caused by artery-to-artery embolism was related to plaque enhancement and the highest maximum WSS at the upstream point of the plaque, and was associated with elevated variability of maximum WSS.
Collapse
Affiliation(s)
- Ho Geol Woo
- Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Hyug-Gi Kim
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Kyung Mi Lee
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Sang Hee Ha
- Department of Neurology, Asan Medical Center, Seoul, Korea
| | - HangJin Jo
- Department of Mechanical Engineering & Division of Advanced Nuclear Engineering, POSTECH, Pohang, Korea
| | - Sung Hyuk Heo
- Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Dae-il Chang
- Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - David S. Liebeskind
- Department of Neurology, University of California in Los Angeles, Los Angeles, CA, USA
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, Seoul, Korea
| |
Collapse
|
36
|
Yoo SH, Kim GG, Kim SR, Park MS, Kim JT, Choi KH, Park HY, Yi SH, Cha JK, Kim DH, Nah HW. Predictors of long-term medication adherence in stroke survivors: A multicentre, prospective, longitudinal study. J Clin Nurs 2023; 32:58-70. [PMID: 35922959 DOI: 10.1111/jocn.16472] [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: 02/23/2022] [Revised: 06/04/2022] [Accepted: 07/13/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Although the optimal use of prescribed medications for stroke survivors is critical for preventing secondary stroke, longitudinal observations of the natural course of medication persistence and adherence in Korean stroke survivors are rare. Furthermore, studies are needed to identify strong predictors influencing medication adherence and to determine whether these predictors change over time. AIMS AND OBJECTIVES To evaluate the longitudinal medication persistence and adherence at 3 months and 1 year after discharge in all stroke patients and to identify predictors of long-term medication adherence in patients who can self-medicate. DESIGN A multicentre, prospective, longitudinal descriptive study. METHODS A total of 600 consecutive ischaemic stroke patients were recruited from three stroke centres across Korea, from 1 September, 2017 to 28 February, 2019. Various factors related to medication adherence suggested by the World Health Organisation were investigated through face-to-face interviews at each centre during hospitalisation. Medication persistence and adherence were assessed at 3 months and 1 year after discharge using the eight-item Morisky Medication Adherence Scale through telephone interviews. RESULTS Of 537 survivors at 3 months, 526 (98.0%) were persistent and 472 (89.7%) were adherent. Of 493 survivors at 1 year, 477 (96.8%) were persistent and 392 (82.2%) were adherent. Medication belief, income and health literacy were statistically significant predictors of three-month medication adherence, which predicted one-year medication adherence with older age and low income. CONCLUSIONS Among Korean stroke survivors, three-month and one-year medication persistence and adherence were relatively good. Medication beliefs and three-month medication adherence were important and modifiable factors predicting three-month adherence and one-year adherence, respectively. RELEVANCE TO CLINICAL PRACTICE To increase long-term adherence to medication, various strategies are needed to improve beliefs about medication, taking into account the patient's age and level of knowledge. These interventions need to be initiated during hospitalisation to form early medication habits after discharge.
Collapse
Affiliation(s)
- Sung-Hee Yoo
- College of Nursing, Chonnam National University, Gwangju, Korea
| | - Gye-Gyoung Kim
- College of Nursing, Chonnam National University, Gwangju, Korea
| | | | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital Medical School, Gwangju, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital Medical School, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital Medical School, Gwangju, Korea
| | - Hyun-Young Park
- Department of Neurology, Wonkwang University Hospital, Iksan, Korea
| | - Sang-Hak Yi
- Department of Neurology, Wonkwang University Hospital, Iksan, 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
| | - Hyun-Wook Nah
- Department of Neurology, Chungnam National University Sejong Hospital, Sejong, Korea
| |
Collapse
|
37
|
Lin GH, Song JX, Huang TD, Fu NX, Zhong LL. Relationship between the stroke mechanism of symptomatic middle cerebral artery atherosclerotic diseases and culprit plaques based on high-resolution vessel wall imaging. Front Neurol 2022; 13:968417. [PMID: 36188409 PMCID: PMC9523534 DOI: 10.3389/fneur.2022.968417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/18/2022] [Indexed: 11/20/2022] Open
Abstract
Purpose For patients with symptomatic middle cerebral artery (MCA) atherosclerotic stenosis, identifying the potential stroke mechanisms may contribute to secondary prevention. The purpose of the study is to explore the relationship between stroke mechanisms and the characteristics of culprit plaques in patients with atherosclerotic ischemic stroke in the M1 segment of the middle cerebral artery (MCA) based on high-resolution vessel wall imaging (HR-VWI). Methods We recruited 61 patients with acute ischemic stroke due to MCA atherosclerotic stenosis from Shenzhen Bao'an District People's Hospital. According to prespecified criteria based on infarct topography and magnetic resonance angiography, possible stroke mechanisms were divided into parent artery atherosclerosis occluding penetrating artery (P), artery-to-artery embolism (A), hypoperfusion (H), and mixed mechanisms (M). The correlation between the characteristics of MCA M1 culprit plaque and different stroke mechanisms was analyzed using HR-VWI. The indicators included plaque surface irregularity, T1 hyperintensity, location, plaque burden (PB), remodeling index (RI), enhancement rate, and stenosis rate. Results Parental artery atherosclerosis occluding penetrating artery was the most common mechanism (37.7%). The proposed criteria showed substantial to excellent interrater reproducibility (κ, 0.728; 0.593–0.863). Compared with the P group, the surface irregularity, T1 hyperintensity, and obvious enhancement of the culprit plaque in the A group were more common (p < 0.0125). Compared with the other stroke mechanisms, positive remodeling of culprit plaques was more common (p < 0.0125), the RI was greater (p < 0.05), and the PB was the smallest (p < 0.05) in the P group. The enhancement ratio (ER) was smaller in the P group (p < 0.05). Compared with the A group, T1 hyperintensity of the culprit plaque was more common in the H group (p < 0.0125), and the stenosis rate was greater (p < 0.05). After adjustment for clinical demographic factors in the binary logistic regression analysis, the enhancement level (odds ratio [OR] 0.213, 95% CI (0.05–0.91), p = 0.037) and PB of culprit plaque (OR 0, 95% CI (0–0.477), p = 0.034) were negatively associated with P groups. Conclusion The culprit plaque characteristics of patients with symptomatic MCA atherosclerotic in different stroke mechanisms may be evaluated using HR-VWI. The plaque characteristics of different stroke mechanisms may have clinical value for the selection of treatment strategies and prevention of stroke recurrence. Clinical trial registration Identifier: ChiCTR1900028533.
Collapse
|
38
|
Lee KJ, Shin DW, Park HK, Kim BJ, Park JM, Kang K, Park TH, Lee KB, Hong KS, Cho YJ, Kim DE, Ryu WS, Lee BC, Yu KH, Oh MS, Lee SJ, Kim JG, Lee J, Cha JK, Kim DH, Kim JT, Choi KH, Choi JC, Lesén E, Hedberg J, Tank A, Fita EG, Song JE, Lee JS, Lee J, Bae HJ. Risk of Subsequent Events in Patients With Minor Ischemic Stroke or High-Risk Transient Ischemic Attack. J Korean Med Sci 2022; 37:e254. [PMID: 35996931 PMCID: PMC9424742 DOI: 10.3346/jkms.2022.37.e254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 07/21/2022] [Indexed: 11/21/2022] Open
Abstract
This study aimed to present the prognosis after minor acute ischemic stroke (AIS) or transient ischemic attack (TIA), using a definition of subsequent stroke in accordance with recent clinical trials. In total, 9,506 patients with minor AIS (National Institutes of Health Stroke Scale ≤ 5) or high-risk TIA (acute lesions or ≥ 50% cerebral artery steno-occlusion) admitted between November 2010 and October 2013 were included. The primary outcome was the composite of stroke (progression of initial event or a subsequent event) and all-cause mortality. The cumulative incidence of stroke or death was 11.2% at 1 month, 13.3% at 3 months and 16.7% at 1 year. Incidence rate of stroke or death in the first month was 12.5 per 100 person-months: highest in patients with large artery atherosclerosis (17.0). The risk of subsequent events shortly after a minor AIS or high-risk TIA was substantial, particularly in patients with large artery atherosclerosis.
Collapse
Affiliation(s)
- Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Dong Woo Shin
- Department of Neurology, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym Neurological Institute, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym Neurological Institute, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Mi-Sun Oh
- Department of Neurology, Hallym Neurological Institute, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea
| | - Jun Lee
- 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, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju, Korea
| | | | | | | | | | - Ji Eun Song
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
- BK21 FOUR Program in Learning Health Systems, Korea University, Seoul, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
- BK21 FOUR Program in Learning Health Systems, Korea University, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongnam, Korea.
| | | |
Collapse
|
39
|
Chen P, Wu Q, Xie X, Jing J, Gu H, Wang X, Meng X, Liu L, Wang Y, Wang Y. Systolic blood pressure and recurrent stroke in patients with different lesion patterns on diffusion weighted imaging. J Clin Hypertens (Greenwich) 2022; 24:1350-1357. [PMID: 35959564 PMCID: PMC9581100 DOI: 10.1111/jch.14543] [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: 04/25/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 11/28/2022]
Abstract
Little is known about the relationship between baseline systolic blood pressure (SBP) and subsequent clinical events in patients with different lesion patterns on diffusion weighted imaging (DWI). We analyzed the Acute Non‐disabling Cerebrovascular Events (CHANCE) trial dataset. Patients were categorized into negative DW imaging (no detectable lesions), lacunar infarction (single lesion ≤15 mm) and non‐lacunar infarction (single lesion >15 mm or multiple lesions) based on lesion patterns on DWI. The primary outcome was recurrent stroke within 90 days. Cox proportional hazards models were used to assess the association between SBP levels and stroke outcomes in patients with different lesion patterns. A total of 1089 patients were analyzed. We found 258 cases (23.7%) with negative DW imaging, 392 (36.0%) with lacunar infarction and 439 (40.3%) with non‐lacunar infarction. Patients with non‐lacunar infarction had the highest incidence of stroke at 90‐day (P < .001). In non‐lacunar infarction group, compared with SBP < 160 mmHg, patients with SBP ≥ 160 mmHg had significantly higher risk of 90‐day recurrent stroke (20.3% vs. 10.7%; adjusted hazard ratio 1.81, 95% confidence interval 1.09–3.00). No significant association was found between SBP and clinical outcomes in patients with negative DWI and lacunar stroke groups. The result at 1 year was similar as at 90‐day. Therefore, non‐lacunar infarction, the most common lesion pattern in CHANCE study, had the highest risk of recurrent stroke and combined vascular events both in 90 days and 1 year. High baseline SBP was significantly associated with increased risk of short‐ and long‐term recurrent strokes in patients with non‐lacunar infarction.
Collapse
Affiliation(s)
- Pan Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Qiong Wu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.,Department of Neurology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Xuewei Xie
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongqiu Gu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Xianwei Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | | |
Collapse
|
40
|
Kim BJ, Menon BK, Yoo J, Han JH, Kim BJ, Kim CK, Kim JG, Kim JT, Park H, Baik SH, Han MK, Kang J, Kim JY, Lee KJ, Park JM, Kang K, Lee SJ, Cha JK, Kim DH, Jeong JH, Park TH, Park SS, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi KH, Choi JC, Kim JG, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Kim C, Lee SH, Lee J, Almekhlafi MA, Demchuk A, Bae HJ. Effectiveness and safety of EVT in patients with acute LVO and low NIHSS. Front Neurol 2022; 13:955725. [PMID: 35989920 PMCID: PMC9389111 DOI: 10.3389/fneur.2022.955725] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
Background and purpose There is much uncertainty in endovascular treatment (EVT) decisions in patients with acute large vessel occlusion (LVO) and mild neurological deficits. Methods From a prospective, nationwide stroke registry, all patients with LVO and baseline NIHSS <6 presenting within 24 h from the time last known well (LKW) were included. Early neurological deterioration (END) developed before EVT was prospectively collected as an increasing total NIHSS score ≥2 or any worsening of the NIHSS consciousness or motor subscores during hospitalization not related to EVT. Significant hemorrhage was defined as PH2 hemorrhagic transformation or hemorrhage at a remote site. The modified Rankin Scale (mRS) was prospectively collected at 3 months. Results Among 1,083 patients, 149 (14%) patients received EVT after a median of 5.9 [3.6-12.3] h after LKW. In propensity score-matched analyses, EVT was not associated with mRS 0-1 (matched OR 0.99 [0.63-1.54]) but increased the risk of a significant hemorrhage (matched OR, 4.51 [1.59-12.80]). Extraneous END occurred in 207 (19%) patients after a median of 24.5 h [IQR, 13.5-41.9 h] after LKW (incidence rate, 1.41 [95% CI, 1.23-1.62] per 100 person-hours). END unrelated to EVT showed a tendency to modify the effectiveness of EVT (P-for-interaction, 0.08), which decreased the odds of having mRS 0-1 in mild LVO patients without END (adjusted OR, 0.63 [0.40-0.99]). Conclusions The use of EVT in patients with acute LVO and low NIHSS scores may require the assessment of individual risks of early deterioration, hemorrhagic complications and expected benefit.
Collapse
Affiliation(s)
- Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Bijoy K. Menon
- Calgary Stroke Program, Department of Clinical Neuroscience, Radiology and Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Joonsang Yoo
- Department of Neurology, Yongin Severance Hospital, Yongin-si, South Korea
| | - Jung Hoon Han
- Department of Neurology, Korea University Guro Hospital, Seoul, South Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, Seoul, South Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, South Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Daejeon, South Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, South Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Moon-Ku Han
- Department of Neurology and Cerebrovascular Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Jihoon Kang
- Department of Neurology and Cerebrovascular Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Jun Yup Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Keon-Joo Lee
- Department of Neurology and Cerebrovascular Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, South Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, South Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Daejeon, South Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Jin-Heon Jeong
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, South Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, South Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang-si, South Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang-si, South Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang-si, South Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang-si, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang-si, South Korea
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang-si, South Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang-si, South Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang-si, South Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University Hospital, Ulsan, South Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, Ulsan, South Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju-si, South Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Cheongju-si, South Korea
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Chulho Kim
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, South Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, South Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul, South Korea
| | - Mohammed A. Almekhlafi
- Calgary Stroke Program, Department of Clinical Neuroscience, Radiology and Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Andrew Demchuk
- Calgary Stroke Program, Department of Clinical Neuroscience, Radiology and Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| |
Collapse
|
41
|
Bae HJ. David G. Sherman Lecture Award: 15-Year Experience of the Nationwide Multicenter Stroke Registry in Korea. Stroke 2022; 53:2976-2987. [PMID: 35899613 DOI: 10.1161/strokeaha.122.039212] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The expected growth of stroke burden in Korea in early 2000s led to the initiation of a government-funded clinical research project with the goal of development and implementation of national stroke guidelines. The CRCS-K (Clinical Research Collaboration for Stroke in Korea) began as a part of this project. For stroke epidemiology and quality of care research, the CRCS-K developed a multicenter, prospective, stroke registry and began collection of data in 2008. Now, about 100 000 cases have been registered at 17 university hospitals or regional stroke centers and about 200 articles have been published based on the registry experience. The analysis of the 10-year secular trends showed overall improvement of stroke care and outcomes and areas for improvement. This large-scale, high-quality dataset provides opportunities to explore and compare treatment disparities using the comparative effectiveness research methods, design and conduct a registry-based randomized clinical trial, connect the registry data with other data sources including the national claims data and neuroimaging or genetic data, and collaborate with other international researchers. An international stroke registry consortium may be a viable future direction.
Collapse
Affiliation(s)
- Hee-Joon Bae
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Korea
| | | |
Collapse
|
42
|
Factors Related to Beliefs about Medication in Ischemic Stroke Patients. J Clin Med 2022; 11:jcm11133825. [PMID: 35807119 PMCID: PMC9267671 DOI: 10.3390/jcm11133825] [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: 05/16/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 12/10/2022] Open
Abstract
Background: Medication beliefs are known as predictors of medication adherence. However, understanding of the relevance of these beliefs is lacking. Therefore, this study aimed to identify medication beliefs, and their influencing factors, in stroke survivors. Methods: This was a secondary analysis, using baseline data from a longitudinal study conducted to predict long-term medication adherence in Korean stroke survivors, and included 471 patients. Medication beliefs were investigated using the Belief about Medicine Questionnaire (BMQ), and the belief score and attitudes were derived from the “necessity” and “concern” scores, which are subscales of the BMQ. Multiple linear regression was used to determine independent factors influencing medication beliefs. Results: The mean score of medication beliefs is 7.07 ± 6.32, and the accepting group comprises 288 patients (61.1%). Medication beliefs are significantly higher in older adults (p < 0.001), females (p = 0.001), and patients with non-type D personality (p = 0.023), low-state anxiety (p < 0.001), high stroke severity (p = 0.001), a high number of medications (p < 0.001), and high knowledge about medications (p = 0.001). Conclusion: This study shows that type D personality, state anxiety, and knowledge about medication are major mediating factors for improving medication beliefs. These results may help healthcare professionals develop strategies to enhance medication adherence, by improving patients’ medication beliefs.
Collapse
|
43
|
Kim JG, Boo K, Kang CH, Kim HJ, Choi JC. Impact of Neuroimaging Patterns for the Detection of a Trial Fibrillation by Implantable Loop Recorders in Patients With Embolic Stroke of Undetermined Source. Front Neurol 2022; 13:905998. [PMID: 35769362 PMCID: PMC9234145 DOI: 10.3389/fneur.2022.905998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Atrial fibrillation (AF) is a well-known etiology of embolic stroke of undetermined source (ESUS), although the optimal detection strategy of AF was not been fully evaluated yet. We assessed AF detection rate by implantable loop recorder (ILR) in patients with ESUS and compared the clinical characteristics and neuroimaging patterns between the patients with AF and AF-free patients. Methods We reviewed clinical characteristics and neuroimaging patterns of consecutive patients with who were admitted to our comprehensive stroke center for ESUS and underwent ILR insertion between August 1, 2019, and January 31, 202. The inclusion criteria were (1) 18 years of age or older; (2) classified as having cryptogenic stroke extracted from the group with undetermined stroke according to ESUS International Working Group; and (3) underwent ILR insertion during or after admission due to index ischemic events. Ischemic stroke pattern was classified as (1) tiny-scattered infarction, (2) whole-territorial infarction, (3) lobar infarction and (4) multiple-territorial infarction. Interrogations of data retrieved from the ILR were performed by cardiologists in every month after the implantation. Results In this study, 41 ESUS patients who received an ILR implantation were enrolled (mean age, 64 years; male sex, 65.9%). The rate of AF detection at 6 months was 34% (14 patients), and the mean time from ILR insertion to AF detection was 52.5 days [interquartile range (IQR), 45.0–69.5]. The median initial NIH stroke scale scores were significantly greater in patients with AF than those without AF (6.5 vs. 3.0, p = 0.019). Whole-territorial infarction pattern was significantly more frequent in patients with AF than in those without AF (64.3% vs.11.1%, p = 0.002). Conclusions Higher covert AF detection rates within the ESUS patients were most often associated with higher NIHSS and whole-territorial infarction patterns on brain imaging.
Collapse
Affiliation(s)
- Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Kiyung Boo
- Department of Internal Medicine, Jeju National University Hospital, Jeju, South Korea
| | - Chul-Hoo Kang
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Hong Jun Kim
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
- *Correspondence: Jay Chol Choi
| |
Collapse
|
44
|
Lee K, Kim BJ, Han M, Kim J, Choi K, Shin D, Cha J, Kim D, Kim D, Ryu W, Park J, Kang K, Lee SJ, Kim JG, Oh M, Yu K, Lee B, Hong K, Cho Y, Choi JC, Park TH, Park S, Lee KB, Kwon J, Kim W, Sohn SI, Hong J, Lee J, Lee JS, Lee J, Gorelick PB, Bae H. Effect of Heart Rate on 1-Year Outcome for Patients With Acute Ischemic Stroke. J Am Heart Assoc 2022; 11:e025861. [PMID: 35535617 PMCID: PMC9238577 DOI: 10.1161/jaha.122.025861] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Previous literature about the effect of heart rate on poststroke outcomes is limited. We attempted to elucidate (1) whether heart rate during the acute period of ischemic stroke predicts subsequent major clinical events, (2) which heart rate parameter is best for prediction, and (3) what is the estimated heart rate cutoff point for the primary outcome. Methods and Results Eight thousand thirty-one patients with acute ischemic stroke who were hospitalized within 48 hours of onset were analyzed retrospectively. Heart rates between the 4th and 7th day after onset were collected and heart rate parameters including mean, time-weighted average, maximum, and minimum heart rate were evaluated. The primary outcome was the composite of recurrent stroke, myocardial infarction, and mortality up to 1 year after stroke onset. All heart rate parameters were associated with the primary outcome (P's<0.001). Maximum heart rate had the highest predictive power. The estimated cutoff point for the primary outcome was 81 beats per minute for mean heart rate and 100 beats per minute for maximum heart rate. Patients with heart rates above these cutoff points had a higher risk of the primary outcome (adjusted hazard ratio, 1.80 [95% CI, 1.57-2.06] for maximum heart rate and 1.65 [95% CI, 1.45-1.89] for mean heart rate). The associations were replicated in a separate validation dataset (N=10 000). Conclusions These findings suggest that heart rate during the acute period of ischemic stroke is a predictor of major clinical events, and optimal heart rate control might be a target for preventing subsequent cardiovascular events.
Collapse
Affiliation(s)
- Keon‐Joo Lee
- Department of NeurologySeoul National University Bundang HospitalSeongnamKorea
- Department of NeurologyKorea University Guro HospitalSeoulKorea
| | - Beom Joon Kim
- Department of NeurologySeoul National University Bundang HospitalSeongnamKorea
| | - Moon‐Ku Han
- Department of NeurologySeoul National University Bundang HospitalSeongnamKorea
| | - Joon‐Tae Kim
- Department of NeurologyChonnam National University HospitalGwangjuKorea
| | - Kang‐Ho Choi
- Department of NeurologyChonnam National University HospitalGwangjuKorea
| | - Dong‐Ick Shin
- Department of NeurologyChungbuk National University & HospitalCheongjuKorea
| | - Jae‐Kwan Cha
- Department of NeurologyDong‐A University HospitalBusanKorea
| | - Dae‐Hyun Kim
- Department of NeurologyDong‐A University HospitalBusanKorea
| | - Dong‐Eog Kim
- Department of NeurologyDongguk University Ilsan HospitalGoyangKorea
| | - Wi‐Sun Ryu
- Department of NeurologyDongguk University Ilsan HospitalGoyangKorea
- Artificial Intelligence Research CenterJLK Inc.SeoulKorea
| | - Jong‐Moo Park
- Department of NeurologyUijeongbu Eulji Medical CenterEulji UniversitySeoulKorea
| | - Kyusik Kang
- Department of NeurologyNowon Eulji Medical CenterEulji University School of MedicineSeoulKorea
| | - Soo Joo Lee
- Department of NeurologyEulji University HospitalDaejeonKorea
| | - Jae Guk Kim
- Department of NeurologyEulji University HospitalDaejeonKorea
| | - Mi‐Sun Oh
- Department of NeurologyHallym University Sacred Heart HospitalAnyangKorea
| | - Kyung‐Ho Yu
- Department of NeurologyHallym University Sacred Heart HospitalAnyangKorea
| | - Byung‐Chul Lee
- Department of NeurologyHallym University Sacred Heart HospitalAnyangKorea
| | - Keun‐Sik Hong
- Department of NeurologyInje University Ilsan Paik HospitalGoyangKorea
| | - Yong‐Jin Cho
- Department of NeurologyInje University Ilsan Paik HospitalGoyangKorea
| | - Jay Chol Choi
- Department of NeurologyJeju National University HospitalJejuKorea
| | - Tai Hwan Park
- Department of NeurologySeoul Medical CenterSeoulKorea
| | | | - Kyung Bok Lee
- Department of NeurologySoonchunhyang University HospitalCollege of MedicineSeoulKorea
| | - Jee‐Hyun Kwon
- Department of NeurologyUlsan University HospitalUlsanKorea
| | - Wook‐Joo Kim
- Department of NeurologyUlsan University HospitalUlsanKorea
| | - Sung Il Sohn
- Department of NeurologyKeimyung University Dongsan Medical CenterDaeguKorea
| | - Jeong‐Ho Hong
- Department of NeurologyKeimyung University Dongsan Medical CenterDaeguKorea
| | - Jun Lee
- Department of NeurologyYeungnam University Medical CenterDaeguKorea
| | - Ji Sung Lee
- Clinical Research CenterAsan Medical CenterSeoulKorea
| | - Juneyoung Lee
- Department of BiostatisticsKorea UniversitySeoulKorea
| | - Philip B. Gorelick
- Davee Department of NeurologyNorthwestern University Feinberg School of MedicineChicagoIL
| | - Hee‐Joon Bae
- Department of NeurologySeoul National University Bundang HospitalSeongnamKorea
| | | |
Collapse
|
45
|
Kim H, Kim JT, Lee JS, Kim BJ, Kang J, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Choi KH, Lee J, Bae HJ. Stroke of Other Determined Etiology: Results From the Nationwide Multicenter Stroke Registry. Stroke 2022; 53:2597-2606. [DOI: 10.1161/strokeaha.121.037582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND:
Stroke of other determined etiology (OE) includes patients with an uncommon cause of stroke. We described the general characteristics, management, and outcomes of stroke in OE and its subgroups.
METHODS:
This study is a retrospective analysis of a prospective, multicenter, nationwide registry, the Clinical Research Center for Stroke-Korea-National Institutes of Health registry. We classified OE strokes into 10 subgroups according to the literature and their properties. Each OE subgroup was compared according to clinical characteristics, sex, age strata, lesion locations, and management. Moreover, 1-year composites of stroke and all-cause mortality were investigated according to the OE subgroups.
RESULTS:
In total, 2119 patients with ischemic stroke with OE types (mean age, 55.6±16.2 years; male, 58%) were analyzed. In the Clinical Research Center for Stroke-Korea-National Institutes of Health registry, patients with OE accounted for 2.8% of all patients with stroke. The most common subtypes were arterial dissection (39.1%), cancer-related coagulopathy (17.3%), and intrinsic diseases of the arterial wall (16.7%). Overall, strokes of OE were more common in men than in women (58% versus 42%). Arterial dissection, intrinsic diseases of the arterial wall and stroke associated with migraine and drugs were more likely to occur at a young age, while disorders of platelets and the hemostatic system, cancer-related coagulopathy, infectious diseases, and hypoperfusion syndromes were more frequent at an old age. The composite of stroke and all-cause mortality within 1 year most frequently occurred in cancer-related coagulopathy, with an event rate of 71.8%, but least frequently occurred in stroke associated with migraine and drugs and arterial dissection, with event rates of 0% and 7.2%, respectively.
CONCLUSIONS:
This study presents the different characteristics, demographic findings, lesion locations, and outcomes of OE and its subtypes. It is characterized by a high proportion of arterial dissection, high mortality risk in cancer-related coagulopathy and an increasing annual frequency of cancer-related coagulopathy in patients with stroke of OE.
Collapse
Affiliation(s)
- Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (H.K., J.-T.K., M.-S.P., K.-H.C.)
- Department of Neurology, Ulsan University College of Medicine, Korea (H.K., W.-J.K.)
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (H.K., J.-T.K., M.-S.P., K.-H.C.)
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.S.L.)
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (B.J.K., J.K., K.-J.L., H.-J.B.)
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (B.J.K., J.K., K.-J.L., H.-J.B.)
| | - Keon-Joo Lee
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (B.J.K., J.K., K.-J.L., H.-J.B.)
- Department of Neurology, Korea University Guro Hospital, Seoul (K.-J.L.)
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Korea (J.-M.P.)
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea (K.K.)
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea (S.J.L., J.G.K.)
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea (S.J.L., J.G.K.)
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K.)
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K.)
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea (T.H.P.)
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Korea (K.B.L.)
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Korea (J.L.)
| | - Keun-Sik Hong
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Yong-Jin Cho
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Hong-Kyun Park
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.S.O.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.S.O.)
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.S.O.)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (D.-E.K., W.-S.R.)
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (D.-E.K., W.-S.R.)
- Artificial Intelligence Research Center, JLK, Inc., Seoul, Korea (W.-S.R.)
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea (J.C.C.)
| | | | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Korea (H.K., W.-J.K.)
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea (D.-I.S., K.S.Y.)
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea (D.-I.S., K.S.Y.)
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea (S.I.S., J.-H.H.)
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea (S.I.S., J.-H.H.)
| | - Sang-Hwa Lee
- Department of Neurology, Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Republic of Korea (S.-H.L.)
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (H.K., J.-T.K., M.-S.P., K.-H.C.)
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea (H.K., J.-T.K., M.-S.P., K.-H.C.)
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea (J.L.)
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (B.J.K., J.K., K.-J.L., H.-J.B.)
| |
Collapse
|
46
|
Wang J, Gong X, Chen H, Zhong W, Chen Y, Zhou Y, Zhang W, He Y, Lou M. Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests. Front Aging Neurosci 2022; 14:788637. [PMID: 35493925 PMCID: PMC9051333 DOI: 10.3389/fnagi.2022.788637] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 03/17/2022] [Indexed: 11/25/2022] Open
Abstract
Background Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. Objective This study aimed to develop a model to identify the cause of stroke using machine learning (ML) methods and test its accuracy. Methods We retrospectively reviewed the data of patients who had determined etiology defined by the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) from CASE-II (NCT04487340) to train and evaluate six ML models, namely, Random Forests (RF), Logistic Regression (LR), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbor (KNN), Ada Boosting, Gradient Boosting Machine (GBM), for the detection of cardioembolism (CE), large-artery atherosclerosis (LAA), and small-artery occlusion (SAO). Between October 2016 and April 2020, patients were enrolled consecutively for algorithm development (phase one). Between June 2020 and December 2020, patients were enrolled consecutively in a test set for algorithm test (phase two). Area under the curve (AUC), precision, recall, accuracy, and F1 score were calculated for the prediction model. Results Finally, a total of 18,209 patients were enrolled in phase one, including 13,590 patients (i.e., 6,089 CE, 4,539 LAA, and 2,962 SAO) in the model, and a total of 3,688 patients were enrolled in phase two, including 3,070 patients (i.e., 1,103 CE, 1,269 LAA, and 698 SAO) in the model. Among the six models, the best models were RF, XGBoost, and GBM, and we chose the RF model as our final model. Based on the test set, the AUC values of the RF model to predict CE, LAA, and SAO were 0.981 (95%CI, 0.978-0.986), 0.919 (95%CI, 0.911-0.928), and 0.918 (95%CI, 0.908-0.927), respectively. The most important items to identify CE, LAA, and SAO were atrial fibrillation and degree of stenosis of intracranial arteries. Conclusion The proposed RF model could be a useful diagnostic tool to help neurologists categorize etiologies of stroke. Clinical Trial Registration [www.ClinicalTrials.gov], identifier [NCT01274117].
Collapse
Affiliation(s)
- Jianan Wang
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Xiaoxian Gong
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Hongfang Chen
- Department of Neurology, Jinhua Hospital of Zhejiang University, Jinhua Municipal Central Hospital, Jinhua, China
| | - Wansi Zhong
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Yi Chen
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Ying Zhou
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Wenhua Zhang
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Yaode He
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Min Lou
- Department of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| |
Collapse
|
47
|
Kim JY, Lee KJ, Kang J, Kim BJ, Han MK, Kang K, Park JM, Park TH, Park HK, Cho YJ, Hong KS, Lee KB, Jang MS, Lee JS, Lee J, Bae HJ. Fasting and Non-Fasting Triglycerides in Patients With Acute Ischemic Stroke. J Korean Med Sci 2022; 37:e100. [PMID: 35380025 PMCID: PMC8980366 DOI: 10.3346/jkms.2022.37.e100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/07/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Clinical implications of elevated fasting triglycerides (FTGs) and non-fasting triglycerides (NFTGs) in acute ischemic stroke (AIS) remain unknown. We aimed to elucidate the correlation and clinical significance of FTG and NFTG levels in AIS patients. METHODS Using a multicenter prospective stroke registry, we identified AIS patients hospitalized within 24 hours of onset with available NFTG results. The primary outcome was a composite of stroke recurrence, myocardial infarction, and all-cause mortality up to one year. RESULTS This study analyzed 2,176 patients. The prevalence of fasting and non-fasting hypertriglyceridemia was 11.5% and 24.6%, respectively. Multivariate analysis revealed that younger age, diabetes, higher body mass index and initial systolic blood pressure were independently associated with both fasting and non-fasting hypertriglyceridemia (all P < 0.05). Patients with higher quartiles of NFTG were more likely to be male, younger, ever-smokers, diabetic, and have family histories of premature coronary heart disease and stroke (all P < 0.05). Similar tendencies were observed for FTG. The composite outcome was not associated with FTG or NFTG quartiles. CONCLUSION The fasting and non-fasting hypertriglyceridemia were prevalent in AIS patients and showed similar clinical characteristics and outcomes. High FTG and NFTG levels were not associated with occurrence of subsequent clinical events up to one year.
Collapse
Affiliation(s)
- Jun Yup Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jihoon Kang
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Myung Suk Jang
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
| |
Collapse
|
48
|
Lee KJ, Kim BJ, Han MK, Kim JT, Choi KH, Shin DI, Cha JK, Kim DH, Kim DE, Ryu WS, Park JM, Kang K, Lee SJ, Oh MS, Yu KH, Lee BC, Hong KS, Cho YJ, Choi JC, Park TH, Park SS, Kwon JH, Kim WJ, Lee J, Sohn SI, Hong JH, Lee KB, Lee JS, Lee J, Gorelick PB, Bae HJ. One-Year Blood Pressure Trajectory After Acute Ischemic Stroke. J Am Heart Assoc 2022; 11:e023747. [PMID: 35195014 PMCID: PMC9075074 DOI: 10.1161/jaha.121.023747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Although the effect of blood pressure on poststroke outcome is well recognized, the long-term trajectory of blood pressure after acute ischemic stroke and its influence on outcomes have not been studied well. Methods and Results We analyzed systolic blood pressure (SBP) measurements in 5514 patients with acute ischemic stroke at ≥2 of 7 prespecified time points during the first year after stroke among those enrolled in a multicenter prospective registry. Longitudinal SBPs were categorized using a group-based trajectory model. The primary outcome was a composite of stroke recurrence, myocardial infarction, and all-cause mortality up to 1 year after stroke. The study subjects were categorized into 4 SBP trajectory groups: low (27.0%), moderate (59.5%), persistently high (1.2%), and slowly dropping (12.4%). In the first 3 groups, SBP decreased during the first 3 to 7 days and remained steady thereafter. In the slowly dropping SBP group, SBPs decreased from 182 to 135 mm Hg during the first 30 days, then paralleled the trajectory of the moderate SBP group. Compared with the reference, the moderate SBP group, the slowly dropping SBP group was at higher risk for the primary outcome (adjusted hazard ratio [HR], 1.32; 95% CI, 1.05‒1.65) and mortality (adjusted HR, 1.35; 95% CI, 1.03‒1.78). Primary outcome rates were similarly high in the persistently high SBP group. Conclusions Four 1-year longitudinal SBP trajectories were identified in patients with acute ischemic stroke. Patients in the slowly dropping SBP and persistently high SBP trajectory groups were prone to adverse cardiovascular outcomes after stroke.
Collapse
Affiliation(s)
- Keon-Joo Lee
- Department of Neurology Seoul National University Bundang Hospital Seongnam Korea.,Department of Neurology Korea University Guro Hospital Seoul Korea
| | - Beom Joon Kim
- Department of Neurology Seoul National University Bundang Hospital Seongnam Korea
| | - Moon-Ku Han
- Department of Neurology Seoul National University Bundang Hospital Seongnam Korea
| | - Joon-Tae Kim
- Department of Neurology Chonnam National University Hospital Gwangju Korea
| | - Kang Ho Choi
- Department of Neurology Chonnam National University Hospital Gwangju Korea
| | - Dong-Ick Shin
- Department of Neurology Chungbuk National University Hospital Cheongju 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
| | - Dong-Eog Kim
- Department of Neurology Dongguk University Ilsan Hospital Goyang Korea
| | - Wi-Sun Ryu
- Department of Neurology Dongguk University Ilsan Hospital Goyang Korea
| | - Jong-Moo Park
- Department of Neurology Uijeongbu Eulji Medical CenterEulji University Seoul Korea
| | - Kyusik Kang
- Department of Neurology Nowon Eulji Medical CenterEulji University Seoul Korea
| | - Soo Joo Lee
- Department of Neurology Eulji University Hospital Daejeon Korea
| | - Mi-Sun Oh
- Department of Neurology Hallym University Sacred Heart Hospital Anyang Korea
| | - Kyung-Ho Yu
- Department of Neurology Hallym University Sacred Heart Hospital Anyang Korea
| | - Byung-Chul Lee
- Department of Neurology Hallym University Sacred Heart Hospital Anyang Korea
| | - Keun-Sik Hong
- Department of Neurology Inje University Ilsan Paik Hospital Goyang Korea
| | - Yong-Jin Cho
- Department of Neurology Inje University Ilsan Paik Hospital Goyang Korea
| | - Jay Chol Choi
- Department of Neurology Jeju National University Hospital Jeju Korea
| | - Tai Hwan Park
- Department of Neurology Seoul Medical Center Seoul Korea
| | - Sang-Soon Park
- Department of Neurology Seoul Medical Center Seoul Korea
| | - Jee-Hyun Kwon
- Department of Neurology Ulsan University Hospital Ulsan Korea
| | - Wook-Joo Kim
- Department of Neurology Ulsan University Hospital Ulsan Korea
| | - Jun Lee
- Department of Neurology Yeungnam University Medical Center Daegu Korea
| | - Sung Il Sohn
- Department of Neurology Keimyung University Dongsan Medical Center Daegu Korea
| | - Jeong-Ho Hong
- Department of Neurology Keimyung University Dongsan Medical Center Daegu Korea
| | - Kyung Bok Lee
- Department of Neurology Soonchunhyang University Hospital Seoul Korea
| | - Ji Sung Lee
- Clinical Research Center Asan Medical Center Seoul Korea
| | - Juneyoung Lee
- Department of Biostatistics Korea University Seoul Korea
| | - Philip B Gorelick
- Davee Department of Neurology Feinberg School of MedicineNorthwestern University Chicago IL.,Department of Translational Neuroscience Michigan State UniversityCollege of Human Medicine Grand Rapids MI
| | - Hee-Joon Bae
- Department of Neurology Seoul National University Bundang Hospital Seongnam Korea
| | | |
Collapse
|
49
|
Ryu WS, Hong KS, Jeong SW, Park JE, Kim BJ, Kim JT, Lee KB, Park TH, Park SS, Park JM, Kang K, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Lee SJ, Kim JG, Cha JK, Kim DH, Lee J, Han MK, Park MS, Choi KH, Lee J, Saver JL, Lo EH, Bae HJ, Kim DE. Association of ischemic stroke onset time with presenting severity, acute progression, and long-term outcome: A cohort study. PLoS Med 2022; 19:e1003910. [PMID: 35120123 PMCID: PMC8815976 DOI: 10.1371/journal.pmed.1003910] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/11/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Preclinical data suggest circadian variation in ischemic stroke progression, with more active cell death and infarct growth in rodent models with inactive phase (daytime) than active phase (nighttime) stroke onset. We aimed to examine the association of stroke onset time with presenting severity, early neurological deterioration (END), and long-term functional outcome in human ischemic stroke. METHODS AND FINDINGS In a Korean nationwide multicenter observational cohort study from May 2011 to July 2020, we assessed circadian effects on initial stroke severity (National Institutes of Health Stroke Scale [NIHSS] score at admission), END, and favorable functional outcome (3-month modified Rankin Scale [mRS] score 0 to 2 versus 3 to 6). We included 17,461 consecutive patients with witnessed ischemic stroke within 6 hours of onset. Stroke onset time was divided into 2 groups (day-onset [06:00 to 18:00] versus night-onset [18:00 to 06:00]) and into 6 groups by 4-hour intervals. We used mixed-effects ordered or logistic regression models while accounting for clustering by hospitals. Mean age was 66.9 (SD 13.4) years, and 6,900 (39.5%) were women. END occurred in 2,219 (12.7%) patients. After adjusting for covariates including age, sex, previous stroke, prestroke mRS score, admission NIHSS score, hypertension, diabetes, hyperlipidemia, smoking, atrial fibrillation, prestroke antiplatelet use, prestroke statin use, revascularization, season of stroke onset, and time from onset to hospital arrival, night-onset stroke was more prone to END (adjusted incidence 14.4% versus 12.8%, p = 0.006) and had a lower likelihood of favorable outcome (adjusted odds ratio, 0.88 [95% CI, 0.79 to 0.98]; p = 0.03) compared with day-onset stroke. When stroke onset times were grouped by 4-hour intervals, a monotonic gradient in presenting NIHSS score was noted, rising from a nadir in 06:00 to 10:00 to a peak in 02:00 to 06:00. The 18:00 to 22:00 and 22:00 to 02:00 onset stroke patients were more likely to experience END than the 06:00 to 10:00 onset stroke patients. At 3 months, there was a monotonic gradient in the rate of favorable functional outcome, falling from a peak at 06:00 to 10:00 to a nadir at 22:00 to 02:00. Study limitations include the lack of information on sleep disorders and patient work/activity schedules. CONCLUSIONS Night-onset strokes, compared with day-onset strokes, are associated with higher presenting neurologic severity, more frequent END, and worse 3-month functional outcome. These findings suggest that circadian time of onset is an important additional variable for inclusion in epidemiologic natural history studies and in treatment trials of neuroprotective and reperfusion agents for acute ischemic stroke.
Collapse
Affiliation(s)
- Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
- National Priority Research Center for Stroke, Goyang, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Sang-Wuk Jeong
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Jung E. Park
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, 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
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Daejeon, 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
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Korea
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Man Seok Park
- Department of Neurology, Chonnam National University Hospital, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul, Korea
| | - Jeffrey L. Saver
- Comprehensive Stroke Center, Department of Neurology, University of California, Los Angeles, California, United States of America
- Consortium International pour la Recherche Circadienne sur l’AVC (CIRCA)
| | - Eng H. Lo
- Consortium International pour la Recherche Circadienne sur l’AVC (CIRCA)
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
- Consortium International pour la Recherche Circadienne sur l’AVC (CIRCA)
- * E-mail: (H-JB); (D-EK)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
- National Priority Research Center for Stroke, Goyang, Korea
- Consortium International pour la Recherche Circadienne sur l’AVC (CIRCA)
- * E-mail: (H-JB); (D-EK)
| |
Collapse
|
50
|
Kim S, Kim JT, Lee JS, Kim BJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Park SS, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Sohn SI, Hong JH, Park MS, Choi KH, Cho KH, Lee J, Bae HJ. Comparative effectiveness of combined antiplatelet treatments in acute minor ischaemic stroke. Stroke Vasc Neurol 2022; 7:13-21. [PMID: 34290076 PMCID: PMC8899677 DOI: 10.1136/svn-2020-000841] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 05/27/2021] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND No study has thoroughly compared the effectiveness of combined antiplatelet treatments (other than clopidogrel-aspirin) versus clopidogrel-aspirin or aspirin alone for early secondary prevention in acute ischaemic stroke. METHODS We identified patients with acute, minor, non-cardiogenic ischaemic stroke treated with aspirin alone, clopidogrel-aspirin or other combination treatment. Propensity scores considering the inverse probability of treatment weighting were used to adjust for baseline imbalances. The primary outcome was the composite of all strokes (ischaemic or haemorrhagic), myocardial infarction and all-cause mortality at 3 months. RESULTS Among 12 234 patients (male: 61.9%; age: 65.5±13 years) who met the eligibility criteria, aspirin, clopidogrel-aspirin and other combination treatments were administered in 52.2%, 42.9% and 4.9% of patients, respectively. In the crude analysis, the primary outcome event at 3 months occurred in 14.5% of the other combination group, 14.4% of the aspirin group and 13.0% of the clopidogrel-aspirin group. In the weighted Cox proportional hazards analysis, the 3-month primary outcome event occurred less frequently in the clopidogrel-aspirin group than in the other combination group (weighted HR: 0.82 (0.59-1.13)), while no association was found between the aspirin group (weighted HR: 1.04 (0.76-1.44)) or other combination group and the 3-month primary outcome. CONCLUSION Other combined antiplatelet treatment, compared with aspirin alone or clopidogrel-aspirin, was not associated with reduced risks of primary composite vascular events or recurrent stroke during the first 3 months after stroke. Therefore, the results suggest that other combination treatments, particularly the cilostazol-based combination, may not be effective alternatives for clopidogrel-aspirin to prevent early vascular events in patients with acute minor stroke. Further exploration in clinical trials will be needed.
Collapse
Affiliation(s)
- Shina Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-a University, Busan, Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-a University, Busan, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, 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
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Jee-Hyun Kwon
- Department of Neurology, University of Ulsan College of Medicine, Ulsan, Korea
| | - Wook-Joo Kim
- Department of Neurology, University of Ulsan College of Medicine, Ulsan, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea
| | - Man-Seok Park
- 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
| | - Ki-Hyun Cho
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| |
Collapse
|