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Oge DD, Topcuoglu MA, Gultekin Zaim OB, Gumeler E, Arsava EM. The relationship between bone health and type of intracranial internal carotid calcifications in patients with ischemic stroke. Clin Neurol Neurosurg 2024; 243:108360. [PMID: 38833808 DOI: 10.1016/j.clineuro.2024.108360] [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: 02/13/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/06/2024]
Abstract
INTRODUCTION Vascular calcifications, primarily in the aorta and its proximal branches, are commonly observed among subjects with impaired bone health. In this study, we sought to determine if a comparable association holds true for the calcifications in the intracranial internal carotid arteries (IICA), in general and also for particular calcification patterns. METHODS A consecutive series of ischemic stroke patients were prospectively enrolled into the study, where computed tomography angiography source images were used to determine the presence and type of IICA calcifications, and dual-energy X-ray absorptiometry was used to determine the bone mineral density in the left femoral neck region. IICA calcifications were categorized as none, intimal, medial, and mixed types based on previously validated classification schemes. Their relationships with femoral bone T-scores were evaluated by bivariate and multivariate analyses. RESULTS Femoral neck T-score was highest among patients without any vascular calcifications (n=65), when compared to the bone density measures among patients with any type of calcification (n=185) (p<0.001). After adjustment for age, gender, vascular risk factors, and serum biomarkers related to bone health, the T-score remained significantly associated only with the pattern of intimal calcification [OR 0.63 (0.42 - 0.95), p=0.028]. CONCLUSIONS Our findings suggest that the intracranial vasculature, in particular the internal carotid arteries, is not immune to the interplay between suboptimal bone health and vascular calcifications. This association was most robust for an intimal type of IICA calcification pattern, while no such relationship could be demonstrated for other types of vascular calcifications.
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Affiliation(s)
- Dogan Dinc Oge
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | | | | | - Ekim Gumeler
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Ethem Murat Arsava
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
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2
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Viktorisson A, Buvarp D, Danielsson A, Skoglund T, S Sunnerhagen K. Prestroke physical activity is associated with admission haematoma volume and the clinical outcome of intracerebral haemorrhage. Stroke Vasc Neurol 2023; 8:511-520. [PMID: 37137521 PMCID: PMC10800276 DOI: 10.1136/svn-2023-002316] [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: 01/13/2023] [Accepted: 04/15/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Prestroke physical activity (PA) has been linked to improved outcomes after intracerebral haemorrhage (ICH), but its association with ICH volume is unknown. We aimed to investigate associations of prestroke PA with location-specific haematoma volume and the clinical outcome of ICH. METHODS All patients with primary ICH, admitted to three hospitals between 2014 and 2019, were included. Patients performing light PA ≥4 hour/week the year before stroke were considered physically active. Haematoma volumes were assessed from admission brain imaging. Adjusted associations were estimated using multivariate linear and logistic regression models. Haematoma volume was explored as mediator to the relationship between prestroke PA and mild stroke severity (0-4 points on the National Institutes of Health Stroke Scale), a good 1-week functional status (0-3 points on the modified Rankin Scale) and 90-day survival. Average direct effects (ADE) and average causal mediation effects (ACME) were computed. RESULTS Of 686 primary ICH cases, 349 were deep, 240 lobar and 97 infratentorial. Prestroke PA predicted smaller haematoma volumes in deep ICH (β=-0.36, SE=0.09, p<0.001) and lobar ICH (β=-0.23, SE=0.09, p=0.016). Prestroke PA was also associated with mild stroke severity (OR 2.53, 95% CI 1.59 to 4.01), a good 1-week functional status (OR 2.12, 95% CI 1.37 to 3.30) and 90-day survival (OR 3.48, 95% CI 2.06 to 5.91). Haematoma volume partly mediated the relationships between PA and stroke severity (ADE 0.08, p=0.004; ACME 0.10, p<0.001), 1-week functional status (ADE 0.07, p=0.03; ACME 0.10, p<0.001) and 90-day survival (ADE 0.14, p<0.001; ACME 0.05, p<0.001). CONCLUSIONS Light PA ≥4 hour/week prior to ICH was associated with smaller haematoma volumes in deep and lobar locations. Physically active patients with ICH had a higher likelihood of mild stroke, a good 1-week functional status and 90-day survival, in part mediated by smaller haematoma volumes on admission.
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Affiliation(s)
- Adam Viktorisson
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Clinical Neuroscience, University of Gothenburg, Gothenburg, Sweden
| | - Dongni Buvarp
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Clinical Neuroscience, University of Gothenburg, Gothenburg, Sweden
| | - Anna Danielsson
- Department of Clinical Neuroscience, University of Gothenburg, Gothenburg, Sweden
- Department of Health and Rehabilitation, University of Gothenburg, Gothenburg, Sweden
| | - Thomas Skoglund
- Department of Clinical Neuroscience, University of Gothenburg, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Katharina S Sunnerhagen
- Department of Clinical Neuroscience, University of Gothenburg, Gothenburg, Sweden
- Department of Rehabilitation Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
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Kunt R, Çınar BP, Yüksel B, Güllüoğlu H, Sayılır İ, Çeliker Uslu S, Özaydın Göksu E, Bülbül NG, Yıldız B, Öz D, Keskin AO, Korucu O, Akpınar ÇK, Solmaz V, Akpınar M, Altunç FZ, Elmas Z, Büyükuysal Ç, Ekici M, Güvendi G. Clinical-epidemiological and radiological characteristics of stroke patients: A multicentre study. Int J Clin Pract 2021; 75:e14963. [PMID: 34626055 DOI: 10.1111/ijcp.14963] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/06/2021] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION AND AIM Stroke is the leading cause of disability in adults and the second most common cause of death, at a rate of 11.8% worldwide. The purpose of this study was to examine the aetiological, demographic, and clinical characteristics of patients admitted to hospital because of acute strokes. MATERIALS AND METHODS This multicentre study retrieved information for all patients admitted to hospital because of an acute cerebrovascular event over a six-month period, and sociodemographic, aetiological, and clinical characteristics were recorded. RESULTS A total of 1136 patients, 520 of whom were women (45.7%), with a mean age of 70.3 ± 12.8 years, were included in the study. Of these, 967 were diagnosed with ischaemic stroke (IS) (85.1%), 99 with haemorrhagic stroke (HS) (8.7%), and 70 with transient ischaemic attack (6.1%). The most common risk factor for stroke was hypertension (73%). Carotid disease and hyperlipidaemia rates were higher in patients with HS. Numbers of functionally dependent patients with severe neurological status according to the National Institutes of Health Stroke Scale and modified Rankin scale were significantly higher in the HS group (P < .001). When IS was classified according to the Trial of Org 10172 in Acute Stroke Treatment, small vessel disease emerged as the most common cause (41%). The most common lesion localisations were the parietal lobe (23%) in the IS group and the thalamus (35.3%) in the HS group. Eighty-eight patients (7.7%), 62 (6.4%) in the ischaemic subgroup, and 26 (26.3%) in the haemorrhagic subgroup, died within the first month. CONCLUSION Current and accurate evaluations of stroke aetiology are essential for stroke prevention and treatment planning. This study, shows that no change occurred in the aetiology of stroke and epidemiological characteristics and that accurate identification of modifiable stroke risk factors is still a major goal.
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Affiliation(s)
- Refik Kunt
- Department of Neurology, School of Medicine, İzmir Demokrasi University, İzmir, Turkey
| | - Bilge Piri Çınar
- Department of Neurology, School of Medicine, Zonguldak Bülent Ecevit University, Zonguldak, Turkey
| | - Burcu Yüksel
- Neurology Clinic, Antalya Training and Research Hospital, Antalya, Turkey
| | | | - İdris Sayılır
- Neurology Clinic, Samsun Training and Research Hospital, Samsun, Turkey
| | | | | | | | - Baykal Yıldız
- Neurology Clinic, Dr. Ersin Arslan Training and Research Hospital, Gaziantep, Turkey
| | - Didem Öz
- Neurology Clinic, Dokuz Eylül University, İzmir, Turkey
| | - Ahmet Onur Keskin
- Neurology Clinic, Eskişehir Yunus Emre State Hospital, Eskişehir, Turkey
| | - Osman Korucu
- Neurology Clinic, Keçiören Training and Research Hospital, Ankara, Turkey
| | | | - Volkan Solmaz
- Department of Neurology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Meliha Akpınar
- Department of Neurology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Fatma Zehra Altunç
- Neurology Clinic, Antalya Training and Research Hospital, Antalya, Turkey
| | - Zeynep Elmas
- Neurology Clinic, Medicalpark İzmir Hospital, İzmir, Turkey
| | - Çağatay Büyükuysal
- Department of Statistics, Faculty of Medicine, Bülent Ecevit University, Zonguldak, Turkey
| | - Mustafa Ekici
- Emergency Medicine Clinic, Atatürk State Hospital, Aydın, Turkey
| | - Güven Güvendi
- Department of Physiology, School of Medicine, İzmir Demokrasi University, İzmir, Turkey
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6
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Yang J, Liu Y, Liu Q, Wang K, Mo S, Li M, Wu J, Jiang P, Yang S, Guo R, Yang Y, Zhang J, Cao Y, Wang S. A nomogram to predict the risk of postoperative intracranial rebleeding in patients with spontaneous intracranial hematoma. Neurosurg Rev 2021; 45:1571-1578. [PMID: 34714418 DOI: 10.1007/s10143-021-01682-3] [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: 07/21/2021] [Revised: 10/12/2021] [Accepted: 10/25/2021] [Indexed: 10/20/2022]
Abstract
The 30-day mortality rate of spontaneous cerebral hemorrhage (ICH) is approximately 30-50%. Surgery may improve the prognosis of patients with severe ICH. However, ICH survivors after surgery still face the risks of postoperative intracranial rebleeding (PIB), and clinical tools that accurately predict the risk of PIB occurrence are not available. Therefore, a retrospective study was performed. The population was divided into two groups according to the occurrence of PIB. Univariate and multivariate logistic regression analyses were performed to screen risk factors for PIB. Next, an early PIB risk nomogram prediction model was constructed. In addition, the impact of PIB on the prognosis of ICH was evaluated. In total, 150 ICH patients were continuously enrolled in this study; 21 patients suffered from PIB, and the overall incidence of PIB was 14.0% (21/150). Coronary heart disease history, a lower GCS score, and subarachnoid hemorrhage absence were screened as risk factors for early PIB. The early PIB risk nomogram showed good calibration and discrimination with a concordance index of 0.807 (95% confidence interval (CI), 0.715-0.899), which was confirmed to be 0.788 through bootstrapping validation. In addition, a significant difference in discharged GOS scores (P = 0.043) was observed between the PIB group and the n-PIB group. These results showed that a history of coronary heart disease, a lower GCS score, and absence of subarachnoid hemorrhage were risk factors for early PIB. In addition, the early PIB risk nomogram prediction model exhibits good discrimination and calibration. The occurrence of PIB could reduce the prognosis of ICH patients.
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Affiliation(s)
- Junhua Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Yang Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Qingyuan Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Kaiwen Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Shaohua Mo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Maogui Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Jun Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Pengjun Jiang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Shuzhe Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Rui Guo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Jiaming Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, 100160, Beijing, People's Republic of China. .,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China. .,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China. .,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, People's Republic of China.
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7
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Li S, Wang W, Zhang Q, Wang Y, Wang A, Zhao X. Association Between Alkaline Phosphatase and Clinical Outcomes in Patients With Spontaneous Intracerebral Hemorrhage. Front Neurol 2021; 12:677696. [PMID: 34526953 PMCID: PMC8435581 DOI: 10.3389/fneur.2021.677696] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/30/2021] [Indexed: 12/21/2022] Open
Abstract
Background: Spontaneous intracerebral hemorrhage (ICH) is associated with high rates of mortality and morbidity. Alkaline phosphatase (ALP) is related to increased risk of cardiovascular events and is also closely associated with adverse outcomes after ischemic or hemorrhagic stroke. However, there are limited data about the effect of ALP on clinical outcomes after ICH. Therefore, we aimed to investigate the relationship between serum ALP level and prognosis in ICH patients. Methods: From January 2014 to September 2016, 939 patients with spontaneous ICH were enrolled in our study from 13 hospitals in Beijing. Patients were categorized into four groups based on the ALP quartiles (Q1, Q2, Q3, Q4). The main outcomes were 30-day, 90-day, and 1-year poor functional outcomes (modified Rankin Scale score of 3-6). Multivariable logistic regression and interaction analyses were performed to evaluate the relationships between ALP and clinical outcomes after ICH. Results: In the logistic regression analysis, compared with the third quartile of ALP, the adjusted odds ratios of the Q1, Q2, and Q4 for 30-day poor functional outcome were 1.31 (0.80-2.15), 1.16 (0.71-1.89), and 2.16 (1.32-3.55). In terms of 90-day and 1-year poor functional outcomes, the risks were significantly higher in the highest quartile of ALP compared with the third quartile after adjusting the confounding factors [90-day: highest quartile OR = 1.86 (1.12-3.10); 1-year: highest quartile OR = 2.26 (1.34-3.80)]. Moreover, there was no significant interaction between ALP and variables like age or sex. Conclusions: High ALP level (>94.8 U/L) was independently associated with 30-day, 90-day, and 1-year poor functional outcomes in ICH patients. Serum ALP might serve as a predictor for poor functional outcomes after ICH onset.
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Affiliation(s)
- Sijia Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Qian Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Yu Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
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