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Yi L, Li Z, Jiang Y, Jiang Y, Meng X, Li H, Zhao X, Wang Y, Liu L, Wang Y, Gu H. Inflammatory marker profiles and in-hospital neurological deterioration in patients with acute minor ischemic stroke. CNS Neurosci Ther 2024; 30:e14648. [PMID: 38432871 PMCID: PMC10909616 DOI: 10.1111/cns.14648] [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: 10/11/2023] [Revised: 01/10/2024] [Accepted: 02/10/2024] [Indexed: 03/05/2024] Open
Abstract
AIM The aim of the study was to analyze the association between inflammatory marker profiles and in-hospital neurological deterioration (ND) in acute ischemic stroke (AIS) patients. METHODS Data from patients with minor AIS from the Third China National Stroke Registry were analyzed. Inflammatory cytokine levels within 24 h of admission were measured. The primary outcome was in-hospital ND (an increase in National Institutes of Health Stroke Scale score ≥4 from admission to discharge). Associations were evaluated using odds ratios (ORs) and 95% confidence intervals (CIs) derived from logistic regression models. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to evaluate incremental predictive values. RESULTS A total of 4031 patients (1246 women, 30.9%) with a median age of 62 years were included. In-hospital ND occurred in 121 patients (3%). Each standard-deviation increase in interleukin (IL)-6 (OR, 1.17 [95% CI, 1.06-1.31]) and high-sensitivity C-reactive protein (hsCRP) (OR, 1.43 [95% CI, 1.24-1.66]) levels was associated with increased in-hospital ND risk. Incremental predictive values for adding IL-6 (IDI, 0.012; NRI, 0.329) but not hsCRP levels to the conventional risk factors were found. CONCLUSION In minor AIS, hsCRP and IL-6 levels were associated with in-hospital ND, including IL-6 levels in prognostic models improved risk classification.
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Affiliation(s)
- Luo Yi
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zi‐Xiao Li
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Ying‐Yu Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xia Meng
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xing‐Quan Zhao
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yi‐Long Wang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Li‐Ping Liu
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yong‐Jun Wang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Hong‐Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
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Gwak DS, Choi W, Kwon JA, Shim DH, Kim YW, Hwang YH. Perfusion profile evaluated by severity-weighted multiple Tmax strata predicts early neurological deterioration in minor stroke with large vessel occlusion. J Cereb Blood Flow Metab 2022; 42:329-337. [PMID: 34559021 PMCID: PMC9122513 DOI: 10.1177/0271678x211029165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Minor stroke due to large vessel occlusion (LVO) is associated with poor outcomes. Hypoperfused tissue fate may be more accurately predicted by severity-weighted multiple perfusion strata than by a single perfusion threshold. We investigated whether poor perfusion profile evaluated by multiple Tmax strata is associated with early neurological deterioration (END) in patients with minor stroke with LVO. Ninety-four patients with a baseline National Institute of Health Stroke Scale score ≤5 and anterior circulation LVO admitted within 24 hours of onset were included. Tmax strata proportions (Tmax 2-4 s, 4-6 s, 6-8 s, 8-10 s, and >10 s) against the entire hypoperfusion volume (Tmax >2 s) were measured. The perfusion profile was defined as the shift of the distribution of the Tmax strata proportions towards worse hypoperfusion severity compared with that of the entire cohort using the Wilcoxon-Mann-Whitney generalised odds ratio (OR); its performance to predict END was tested. The area under the curve of perfusion profile was 0.785 (95% confidence interval [CI]: 0.691-0.878, p < 0.001). Poor perfusion profile (generalised OR >1.052) was independently associated with END (adjusted OR 13.42 [95% CI: 4.38-41.15], p < 0.001). Thus, perfusion profile with severity-weighted multiple Tmax strata may predict END in minor stroke and LVO.
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Affiliation(s)
- Dong-Seok Gwak
- Department of Neurology, 65396Kyungpook National University Hospital, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - WooChan Choi
- Department of Neurology, 65396Kyungpook National University Hospital, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Jung-A Kwon
- Department of Neurology, 65396Kyungpook National University Hospital, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Dong-Hyun Shim
- Department of Neurology, 65396Kyungpook National University Hospital, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Yong-Won Kim
- Department of Neurology, 65396Kyungpook National University Hospital, Kyungpook National University Hospital, Daegu, Republic of Korea.,Department of Neurology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Yang-Ha Hwang
- Department of Neurology, 65396Kyungpook National University Hospital, Kyungpook National University Hospital, Daegu, Republic of Korea.,Department of Neurology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
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Wu HM, Lee IH, Luo CB, Chung CP, Lin YY. Clinical-CT mismatch defined NIHSS ≥ 8 and CT-ASPECTS ≥ 9 as a reliable marker of candidacy for intravenous thrombolytic therapy in acute ischemic stroke. PLoS One 2021; 16:e0251077. [PMID: 33930103 PMCID: PMC8087040 DOI: 10.1371/journal.pone.0251077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 04/20/2021] [Indexed: 11/24/2022] Open
Abstract
Background Clinical-diffusion mismatch between stroke severity and diffusion-weighted imaging lesion volume seems to identify stroke patients with penumbra. However, urgent magnetic resonance imaging is sometimes inaccessible or contraindicated. Thus, we hypothesized that using brain computed tomography (CT) to determine a baseline “clinical-CT mismatch” may also predict the responses to thrombolytic therapy. Methods Brain CT lesions were measured using the Alberta Stroke Program Early CT Score (ASPECTS). A total of 104 patients were included: 79 patients with a baseline National Institutes of Health Stroke Scale (NIHSS) score ≥ 8 and a CT-ASPECTS ≥ 9 who were defined as clinical-CT mismatch-positive (P group) and 25 patients with an NIHSS score ≥ 8 and a CT-ASPECTS < 9 who were defined as clinical-CT mismatch-negative (the N group). We compared their clinical outcomes, including early neurological improvement (ENI), early neurological deterioration (END), delta NIHSS score (admission NIHSS—baseline NIHSS score), symptomatic intracranial hemorrhage (sICH), mortality, and favorable outcome at 3 months. Results Patients in the P group had a greater proportion of favorable outcome at 3 months (p = 0.032) and more frequent ENI (p = 0.038) and a greater delta NIHSS score (p = 0.001), as well as a lower proportion of END (p = 0.004) than those in the N group patients. There were no significant differences in the incidence rates of sICH and mortality between the two groups. Conclusions Clinical-CT mismatch may be able to predict which patients would benefit from intravenous thrombolysis.
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Affiliation(s)
- Hung-Ming Wu
- Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Department of Neurology, Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan, Republic of China
| | - I-Hui Lee
- Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, Republic of China
| | - Chao-Bao Luo
- School of Medicine, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, Republic of China
- * E-mail: (CBL); (YYL)
| | - Chih-Ping Chung
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, Republic of China
- School of Medicine, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan, Republic of China
| | - Yung-Yang Lin
- Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, Republic of China
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Department of Critical Care Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, Republic of China
- Institute of Physiology, National Yang-Ming University, Taipei, Taiwan, Republic of China
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan, Republic of China
- * E-mail: (CBL); (YYL)
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Gwak DS, Kwon JA, Shim DH, Kim YW, Hwang YH. Perfusion and Diffusion Variables Predict Early Neurological Deterioration in Minor Stroke and Large Vessel Occlusion. J Stroke 2021; 23:61-68. [PMID: 33600703 PMCID: PMC7900396 DOI: 10.5853/jos.2020.01466] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 09/01/2020] [Indexed: 11/11/2022] Open
Abstract
Background and Purpose Patients with acute large vessel occlusion (LVO) presenting with mild stroke symptoms are at risk of early neurological deterioration (END). This study aimed to identify the optimal imaging variables for predicting END in this population.
Methods We retrospectively analyzed 94 patients from the prospectively maintained institutional stroke registry admitted between January 2011 and May 2019, presenting within 24 hours after onset, with a baseline National Institutes of Health Stroke Scale score ≤5 and anterior circulation LVO. Patients who underwent endovascular therapy before END were excluded. Volumes of Tmax delay (at >2, >4, >6, >8, and >10 seconds), mismatch (Tmax >4 seconds – diffusion-weighted imaging [DWI] and Tmax >6 seconds – DWI), and mild hypoperfusion lesions (Tmax 2–6 and 4–6 seconds) were measured. The association of each variable with END was examined using receiver operating characteristic curves. The variables with best predictive performance were dichotomized at the cutoff point maximizing Youden’s index and subsequently analyzed using multivariable logistic regression.
Results END occurred in 39.4% of the participants. The optimal variables were identified as Tmax >6 seconds, Tmax >6 seconds – DWI, and Tmax 4–6 seconds with cut-off points of 53.73, 32.77, and 55.20 mL, respectively. These variables were independently associated with END (adjusted odds ratio [aOR], 12.78 [95% confidence interval (CI), 3.36 to 48.65]; aOR, 5.73 [95% CI, 2.04 to 16.08]; and aOR, 9.13 [95% CI, 2.76 to 30.17], respectively).
Conclusions Tmax >6 seconds, Tmax >6 seconds – DWI, and Tmax 4–6 seconds could identify patients at high risk of END following minor stroke due to LVO.
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Affiliation(s)
- Dong-Seok Gwak
- Department of Neurology, Kyungpook National University Hospital, Daegu, Korea
| | - Jung-A Kwon
- Department of Neurology, Kyungpook National University Hospital, Daegu, Korea
| | - Dong-Hyun Shim
- Department of Neurology, Kyungpook National University Hospital, Daegu, Korea
| | - Yong-Won Kim
- Department of Neurology, Kyungpook National University Hospital, Daegu, Korea.,Department of Neurology, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Yang-Ha Hwang
- Department of Neurology, Kyungpook National University Hospital, Daegu, Korea.,Department of Neurology, School of Medicine, Kyungpook National University, Daegu, Korea
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Huang ZX, Huang Y, Zeng J, Hao H, Petroski GF, Lu H, Liu X, Liu Z. Admission Glucose Levels May Increase the Risk for Early Neurological Deterioration in Females With Acute Ischemic Stroke. Front Neurol 2020; 11:548892. [PMID: 33250841 PMCID: PMC7674944 DOI: 10.3389/fneur.2020.548892] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 10/07/2020] [Indexed: 12/19/2022] Open
Abstract
Background and purpose: Early neurological deterioration (END) is associated with poor outcome for patients with acute ischemic stroke (AIS). Patients with hyperglycemia have increased risk for stroke and tend to have poor outcome with and without diabetes after stroke. The present study aimed to determine if blood glucose was associated with END and if sex difference was present in the development of END in AIS patients. Methods: A total of 220 consecutive patients (both males and females) with AIS between 2012 and 2015 were screened for this retrospective study. After exclusion, 213 patients were included for analysis. Propensity-score matching was used for normalization of variables including stroke severity, time from symptom onset to treatment, and treatment methods. Results: END was present in 68 patients (31.9%). Multivariate regression analysis showed that the risk of END was significantly higher in males with AIS than in females (P < 0.001), and admission blood glucose level was independently associated with END (P < 0.001). However, subgroup analysis demonstrated that admission glucose levels were significantly associated with increased risk for END only in females, but not in males (P = 0.008). When the cutoff value of 107.1 mg/dL was used, the admission blood glucose level had a significant predictive value for END prediction with a sensitivity of 100% and a specificity of 53% in female patients. Conclusions: The data demonstrated that sex difference was present for the development of END in AIS patients with an increased risk for males. The present study also showed that admission glucose level could be an important predicting factor for END in female patients with AIS.
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Affiliation(s)
- Zhi-Xin Huang
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China.,Department of Neurology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Center for Precision Medicine and Division of Cardiovascular Medicine, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, United States
| | - Yan Huang
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China.,Department of Neurology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jie Zeng
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Hong Hao
- Center for Precision Medicine and Division of Cardiovascular Medicine, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, United States
| | - Greg F Petroski
- Biostatistics and Research Design Unit, University of Missouri School of Medicine, Columbia, MO, United States
| | - Haike Lu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China.,Department of Neurology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xintong Liu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China.,Department of Neurology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Zhenguo Liu
- Center for Precision Medicine and Division of Cardiovascular Medicine, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, United States
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Effect of Huoxiang Zhengqi Pill on Early Neurological Deterioration in Patients with Acute Ischemic Stroke Undergoing Recanalization Therapy and Predictive Effect of Essen Score. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2020; 2020:6912015. [PMID: 32963567 PMCID: PMC7499270 DOI: 10.1155/2020/6912015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 08/15/2020] [Accepted: 08/26/2020] [Indexed: 11/22/2022]
Abstract
Early neurologic deterioration (END) in the acute phase of ischemic stroke is a serious clinical event, which is closely related to poor prognosis. Therefore, it is important to identify presentation features that predict END and take relevant treatment measures, as they could help to prevent the deterioration of high-risk patients. The prospective intervention study was carried out from January 2018 to December 2019. We included consecutive patients hospitalized for acute ischemic stroke (AIS) within 6 hours of onset. Patients were randomly assigned (1 : 1) to recanalization therapy plus Huoxiang Zhengqi Pill (HXZQ) (intervention group) or standard recanalization therapy alone (control group). The primary outcome was the development of END according to predefined criteria within the first 1 week of stroke onset. Poisson regression was used to identify predictors for END. Of the 155 patients enrolled in the study (age, 63 ± 11 years; 28.4% female), 20 (12.9%) developed END. Univariate analysis showed that the use of HXZQ and Essen stroke risk score (ESRS) (low risk group) were protective factors for END, while advanced age was a risk factor for END. However, in multivariate analysis, only ESRS (OR, 0.232; 95%CI, 0.058–0.928; P=0.039) and the use of HXZQ (OR, 0.297; 95%CI, 0.096–0.917; P=0.035) were statistically significant. ESRS can be used as the prediction factor of END. HXZQ has small side effects and wide indication. It could be used in the treatment of AIS.
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Liu YL, Yin HP, Qiu DH, Qu JF, Zhong HH, Lu ZH, Wang F, Liang MQ, Chen YK. Multiple hypointense vessels on susceptibility-weighted imaging predict early neurological deterioration in acute ischaemic stroke patients with severe intracranial large artery stenosis or occlusion receiving intravenous thrombolysis. Stroke Vasc Neurol 2020; 5:361-367. [PMID: 32586972 PMCID: PMC7804053 DOI: 10.1136/svn-2020-000343] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 05/13/2020] [Accepted: 05/30/2020] [Indexed: 12/30/2022] Open
Abstract
Background and purpose Early neurological deterioration (END) is a common feature in patients with acute ischaemic stroke (AIS) receiving thrombolysis. This study aimed to investigate whether the presence of multiple hypointense vessels (MHVs) on susceptibility-weighted imaging (SWI) could predict END in patients with the anterior circulation AIS treated with recombinant tissue plasminogen activator (r-tPA). Methods This was a retrospective study focusing on AIS patients suffering from symptomatic stenosis or occlusion of the middle cerebral artery or internal carotid artery with r-tPA treatment. We collected clinical variables and initial haematological and neuroimaging findings. MHVs were measured on SWI performed after intravenous thrombosis and were defined as the presence of a greater number of veins or veins of a larger diameter with greater signal loss on SWI than those of the contralesional haemisphere. The degree of hyperintensity of MHVs was classified into four grades: none, subtle, moderate and extensive. END was defined as an increase in the National Institutes of Health Stroke Scale score by 2 points during the first 48 hours after the onset of symptoms. Multivariate logistic regressions were conducted to investigate the predictors of END. Results The study included 61 patients (51 males and 10 females) with a mean age of 62.4±12.6 years. Thirty-five (57.4%) patients presented with MHVs: 8 (13.1%) were graded as subtle MHVs, while 23 (37.7%) and 4 (6.6%) were graded as moderate or extensive MHVs, respectively. Twenty patients (32.8%) presented with END. Logistic regression analysis showed that compared with patients without MHVs, moderate MHVs (adjusted OR 5.446, 95% CI 1.360 to 21.800; p=0.017) and extensive MHVs (adjusted OR 15.240, 95% CI 1.200 to 193.544; p=0.036) were significantly associated with END. Conclusions MHVs might be a useful predictor of END in AIS patients with symptomatic large artery stenosis or occlusion after r-tPA treatment.
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Affiliation(s)
- Yong-Lin Liu
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Han-Peng Yin
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Dong-Hai Qiu
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Jian-Feng Qu
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Huo-Hua Zhong
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Zhi-Hao Lu
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Fang Wang
- Department of Radiology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Man-Qiu Liang
- Department of Radiology, Dongguan People's Hospital, Dongguan, Guangdong, China
| | - Yang-Kun Chen
- Department of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, China
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Huang YC, Tsai YH, Lee JD, Yang JT, Pan YT. A Novel Neuroimaging Model to Predict Early Neurological Deterioration After Acute Ischemic Stroke. Curr Neurovasc Res 2019; 15:129-137. [PMID: 29766805 PMCID: PMC6350204 DOI: 10.2174/1567202615666180516120022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 04/12/2018] [Accepted: 04/14/2018] [Indexed: 12/02/2022]
Abstract
Objective: In acute ischemic stroke, early neurological deterioration (END) may occur in up to one-third of patients. However, there is still no satisfying or comprehensive predictive model for all the stroke subtypes. We propose a practical model to predict END using magnetic resonance imaging (MRI). Method: Patients with anterior circulation infarct were recruited and they underwent an MRI within 24 hours of stroke onset. END was defined as an elevation of ≥2 points on the National Institute of Health Stroke Scale (NIHSS) within 72 hours of stroke onset. We examined the relationships of END to individual END models, including: A, infarct swelling; B, small subcortical infarct; C, mis-match; and D, recurrence. Results: There were 163 patients recruited and 43 (26.4%) of them had END. The END models A, B and C significantly predicted END respectively after adjusting for confounding factors (p=0.022, p=0.007 and p<0.001 respectively). In END model D, we examined all imaging predictors of Recur-rence Risk Estimator (RRE) individually and only the “multiple acute infarcts” pattern was signifi-cantly associated with END (p=0.032). When applying END models A, B, C and D, they success-fully predicted END (p<0.001; odds ratio: 17.5[95% confidence interval: 5.1–60.8]), with 93.0% sensitivity, 60.0% specificity, 45.5% positive predictive value and 96.0% negative predictive value. Conclusion: The results demonstrate that the proposed model could predict END in all stroke sub-types of anterior circulation infarction. It provides a practical model for clinical physicians to select high-risk patients for more aggressive treatment to prevent END.
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Affiliation(s)
- Yen-Chu Huang
- Department of Neurology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University, College of Medicine, Putz, Taiwan
| | - Yuan-Hsiung Tsai
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University, College of Medicine, Putz, Taiwan
| | - Jiann-Der Lee
- Department of Neurology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University, College of Medicine, Putz, Taiwan
| | - Jen-Tsung Yang
- Department of Neurosurgery, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University, College of Medicine, Putz, Taiwan
| | - Yi-Ting Pan
- Department of Neurology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University, College of Medicine, Putz, Taiwan
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