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Cao R, Zhang L, Zheng X. S-100β level is closely associated with myocardial work in patients with acute ischemic stroke. Int J Cardiol 2024; 400:131787. [PMID: 38242506 DOI: 10.1016/j.ijcard.2024.131787] [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: 11/10/2023] [Accepted: 01/14/2024] [Indexed: 01/21/2024]
Abstract
BACKGROUND The more severe the acute stroke is, the more serious myocardial damage is. This study aimed to determine the relationship between myocardial work and S100β, a quantitative biomarker of active cerebral lesions, in patients with acute ischemic stroke (AIS). METHODS A total of 63 patients with AIS were examined by myocardial work echocardiography, 4D echocardiography with the measurement of left ventricular (LV) myocardial work, volume and function within 24-48 h of symptom onset, respectively. Their plasma S100β was measured from a peripheral blood sample within 2-6 h of symptom onset. RESULTS Patients with elevated S-100β level had significantly increased ratios of peak early diastolic transmitral filling velocity to peak early diastolic lateral mitral annulus tissue velocity(E/e') and global longitudinal strain (GLS), and significantly reduced global work index(GWI) and global constructive work (GCW) compared with those with normal S-100β level (p < 0.05). S-100β positively correlated with E/e'(r = 0.878, p < 0.0001) and GLS (r = 0.511, p = 0.002) but negatively correlated with GWI(r = -0.409, p = 0.034) and GCW(r = -0.353, p = 0.041). S-100β showed an excellent ability to differentiate if a reduced GWI [cut-off value, 120.79 pg/mL; area under receiver operating characteristic curve (AUC), 1.000; sensitivity, 100%; specificity, 100%], GCW (cut-off value, 120.79 pg/mL;AUC,1.000; sensitivity,100%; specificity, 100%) and an increased E/e' (cut-off value, 91.1 pg/mL;AUC,0.913; sensitivity,80%; specificity, 100%) or not, but poor ability to differentiate if an increased GLS(cut-off value, 91.1 pg/mL; AUC,0.576; sensitivity,63.64%; specificity, 83.33%) or not. CONCLUSION S-100β level is closely associated with LV function. It is highly competent in determining an impaired myocardial work in patients with AIS.
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Affiliation(s)
- Ran Cao
- Department of Ultrasound, Fuding Hospital Fujian Province/Fuding Hospital Affiliated to Fujian University of Traditional Chinese Medicine, 120 South Gucheng Road, Fuding City 355200, Fujian Province, People's Republic of China
| | - Lijuan Zhang
- Department of Ultrasound, The Fourth Affiliated Hospital of Nanjing Medical University, 298 Nanpu Road, Jiangbei New Area, Nanjing 210031, Jiangsu Province, People's Republic of China
| | - Xiaozhi Zheng
- Department of Ultrasound, Yangpu Hospital, School of Medicine, Tongji University, 450 Tengyue Road, Shanghai 200090, People's Republic of China.
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Nwafor DC, Brichacek AL, Foster CH, Lucke-Wold BP, Ali A, Colantonio MA, Brown CM, Qaiser R. Pediatric Traumatic Brain Injury: An Update on Preclinical Models, Clinical Biomarkers, and the Implications of Cerebrovascular Dysfunction. J Cent Nerv Syst Dis 2022; 14:11795735221098125. [PMID: 35620529 PMCID: PMC9127876 DOI: 10.1177/11795735221098125] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 04/14/2022] [Indexed: 11/15/2022] Open
Abstract
Traumatic brain injury (TBI) is a leading cause of pediatric morbidity and mortality. Recent studies suggest that children and adolescents have worse post-TBI outcomes and take longer to recover than adults. However, the pathophysiology and progression of TBI in the pediatric population are studied to a far lesser extent compared to the adult population. Common causes of TBI in children are falls, sports/recreation-related injuries, non-accidental trauma, and motor vehicle-related injuries. A fundamental understanding of TBI pathophysiology is crucial in preventing long-term brain injury sequelae. Animal models of TBI have played an essential role in addressing the knowledge gaps relating to pTBI pathophysiology. Moreover, a better understanding of clinical biomarkers is crucial to diagnose pTBI and accurately predict long-term outcomes. This review examines the current preclinical models of pTBI, the implications of pTBI on the brain’s vasculature, and clinical pTBI biomarkers. Finally, we conclude the review by speculating on the emerging role of the gut-brain axis in pTBI pathophysiology.
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Affiliation(s)
- Divine C. Nwafor
- Department of Neuroscience, West Virginia University School of Medicine, Morgantown, WV, USA
- West Virginia University School of Medicine, Morgantown, WV, USA
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Allison L. Brichacek
- Department of Microbiology, Immunology, and Cell Biology, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Chase H. Foster
- Department of Neurosurgery, George Washington University Hospital, Washington D.C., USA
| | | | - Ahsan Ali
- Department of Neuroscience, West Virginia University School of Medicine, Morgantown, WV, USA
| | | | - Candice M. Brown
- Department of Neuroscience, West Virginia University School of Medicine, Morgantown, WV, USA
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
- Department of Microbiology, Immunology, and Cell Biology, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Rabia Qaiser
- Department of Neurosurgery, Baylor Scott and White, Temple, TX, USA
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Yang Y, Peng Y, He S, Wu J, Xie Q, Ma Y. The Clinical Differences of Patients With Traumatic Brain Injury in Plateau and Plain Areas. Front Neurol 2022; 13:848944. [PMID: 35547378 PMCID: PMC9081812 DOI: 10.3389/fneur.2022.848944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Traumatic brain injury (TBI) is a leading cause of death and disability, which tends to have a worse clinical recovery if it occurs in plateau areas than in plain areas. To explore the underlying cause of this outcome preliminarily, this retrospective study was conducted to compare the clinical differences of patients with TBI in plateau and plain areas. Methods In this study, 32 patients with TBI in plateau areas (altitude ≥ 4,000 m) and 32 in plain areas (altitude ≤ 1,000 m) were recruited according to the inclusion and exclusion criteria from June 2020 to December 2021. The collected data and compared parameters include clinical features, head CT presentations and Marshall classifications, hematology profile, lipid profile, coagulation profile, and multiorgan (cardiac, liver, renal) function within 24 h of hospital admission, as well as the treatment method and final outcome. Results There were no obvious differences in demographic characteristics, including gender, age, height, and weight, between patients with TBI in plateau and plain areas (all P > 0.05). Compared to patients with TBI in plain areas, the time before hospital admission was longer, heartbeat was slower, systolic blood pressure (SBP) was lower, and hospital stays were longer in patients with TBI in plateau areas (all P < 0.05). More importantly, elevated red blood cells (RBCs) count and hemoglobin (HGB) level, enhanced coagulation function, and higher rates of multiorgan (cardiac, liver, and renal) injury were found in patients with TBI in plateau areas (all P < 0.05). Conclusion Patients with TBI in plateau areas presented with altered clinical characteristics, enhanced coagulation function, and aggravated predisposition toward multiorgan (cardiac, liver, and renal) injury, compared to patients with TBI in plain areas. Future prospective studies are needed to further elucidate the influences of high altitude on the disease course of TBI.
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Affiliation(s)
- Yongxiang Yang
- Department of Neurosurgery, General Hospital of Western Theater Command, Chengdu, China
| | - Yuping Peng
- Department of Neurosurgery, General Hospital of Western Theater Command, Chengdu, China.,Department of Neurosurgery, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Siyi He
- Department of Cardiovascular Surgery, General Hospital of Western Theater Command, Chengdu, China
| | - Jianping Wu
- Department of Neurosurgery, General Hospital of Western Theater Command, Chengdu, China
| | - Qingyun Xie
- Department of Orthopedic, General Hospital of Western Theater Command, Chengdu, China
| | - Yuan Ma
- Department of Neurosurgery, General Hospital of Western Theater Command, Chengdu, China
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Liu T, Wu D, Yan W, Wang X, Zhang X, Ma K, Chen H, Zeng Z, Qin Y, Wang H, Xing M, Xu D, Li W, Ni M, Zhu L, Chen L, Chen G, Qi W, Wu T, Yu H, Huang J, Han M, Zhu W, Guo W, Luo X, Chen T, Ning Q. Twelve-month systemic consequences of COVID-19 in patients discharged from hospital: a prospective cohort study in Wuhan, China. Clin Infect Dis 2021; 74:1953-1965. [PMID: 34390330 PMCID: PMC9187317 DOI: 10.1093/cid/ciab703] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Indexed: 01/08/2023] Open
Abstract
Background Follow-up study of coronavirus disease 2019 (COVID-19) survivors has rarely been reported. We aimed to investigate longitudinal changes in the characteristics of COVID-19 survivors after discharge. Methods A total of 594 COVID-19 survivors discharged from Tongji Hospital in Wuhan from February 10 to April 30, 2020 were included and followed up until May 17, 2021. Laboratory and radiological findings, pulmonary function tests, electrocardiogram, symptoms and signs were analyzed. Results 257 (51.2%) patients had at least one symptom at 3 months post-discharge, which decreased to 169 (40.0%) and 138 (28.4%) at 6-month and 12-month visit respectively. During follow-up period, insomnia, chest tightness, and fatigue were the most prevalent symptoms. Most laboratory parameters returned to normal, whereas increased incidence of abnormal liver and renal function and cardiovascular injury was evidenced after discharge. Fibrous stripes (213; 42.4%), pleural thickening and adhesions (188; 37.5%) and enlarged lymph nodes (120; 23.9%) were the most common radiographical findings at 3 months post-discharge. The abnormalities of pulmonary function included obstructive, restrictive, and mixed, which were 5.5%, 4.0%, 0.9% at 6 months post, and 1.9%, 4.7%, 0.2% at 12 months. Electrocardiogram abnormalities occurred in 256 (51.0%) patients at 3 months post-discharge, including arrhythmia, ST-T change and conduction block, which increased to 258 (61.1%) cases at 6-month visit and were maintained at high frequency (242;49.8%) at 12-month visit. Conclusions Physiological, laboratory, radiological, or electrocardiogram abnormalities, particularly those related to renal, cardiovascular, and liver functions are common in patients who recovered from coronavirus disease 2019 (COVID-19) up to 12 months post-discharge.
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Affiliation(s)
- Tingting Liu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Di Wu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiming Yan
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaojing Wang
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyun Zhang
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ke Ma
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huilong Chen
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhilin Zeng
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Qin
- National Medical Center for Major Public Health Events, Wuhan, China.,Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwu Wang
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingyou Xing
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dong Xu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weina Li
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ming Ni
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Zhu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liang Chen
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guang Chen
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weipeng Qi
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting Wu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haijing Yu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaquan Huang
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meifang Han
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- National Medical Center for Major Public Health Events, Wuhan, China.,Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Guo
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoping Luo
- National Medical Center for Major Public Health Events, Wuhan, China.,Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Chen
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Ning
- National Medical Center for Major Public Health Events, Wuhan, China.,Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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