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Zhang R, Sun W, Xing Y, Wang Y, Li Z, Liu L, Gu H, Yang K, Yang X, Wang C, Liu Q, Xiao Q, Cai W. Implementation of early prophylaxis for deep-vein thrombosis in intracerebral hemorrhage patients: an observational study from the Chinese Stroke Center Alliance. Thromb J 2024; 22:22. [PMID: 38419108 PMCID: PMC10900581 DOI: 10.1186/s12959-024-00592-w] [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: 12/11/2023] [Accepted: 02/17/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND There is substantial evidence to support the use of several methods for preventing deep-vein thrombosis (DVT) following intracerebral hemorrhage (ICH). However, the extent to which these measures are implemented in clinical practice and the factors influencing patients' receipt of preventive measures remain unclear. Therefore, we aimed to evaluate the rate of the early implementation of DVT prophylaxis and the factors associated with its success in patients with ICH. METHODS This study enrolled 49,950 patients with spontaneous ICH from the Chinese Stroke Center Alliance (CSCA) between August 2015 and July 2019. Early DVT prophylaxis implementation was defined as an intervention occurring within 48 h after admission. Univariate and multivariate logistic regression analyses were conducted to identify the rate and factors associated with the implementation of early prophylaxis for DVT in patients with ICH. RESULTS Among the 49,950 ICH patients, the rate of early DVT prophylaxis implementation was 49.9%, the rate of early mobilization implementation was 29.49%, and that of pharmacological prophylaxis was 2.02%. Factors associated with an increased likelihood of early DVT prophylaxis being administered in the multivariable model included receiving early rehabilitation therapy (odds ratio [OR], 2.531); admission to stroke unit (OR 2.231); admission to intensive care unit (OR 1.975); being located in central (OR 1.879) or eastern regions (OR 1.529); having a history of chronic obstructive pulmonary disease (OR 1.292), ischemic stroke (OR 1.245), coronary heart disease or myocardial infarction (OR 1.2); taking antihypertensive drugs (OR 1.136); and having a higher Glasgow Coma Scale (GCS) score (OR 1.045). Conversely, being male (OR 0.936), being hospitalized in tertiary hospitals (OR 0.778), and having a previous intracranial hemorrhage (OR 0.733) were associated with a lower likelihood of early DVT prophylaxis being administered in patients with ICH. CONCLUSIONS The implementation rate of early DVT prophylaxis among Chinese patients with ICH was subpar, with pharmacological prophylaxis showing the lowest prevalence. Various controllable factors exerted an impact on the implementation of early DVT prophylaxis in this population.
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Affiliation(s)
- Ran Zhang
- Nursing Department, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070, Beijing, China
| | - Weige Sun
- Nursing Department, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070, Beijing, China
| | - Yana Xing
- Nursing Department, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070, 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
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, 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
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Kaixuan Yang
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Xin Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Chunjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Qingbo Liu
- Nursing Department, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070, Beijing, China
| | - Qian Xiao
- School of Nursing, Capital Medical University, 100069, Beijing, China.
| | - Weixin Cai
- Nursing Department, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070, Beijing, China.
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Qin Y, Zhang B, Zhao S, Wang W, Dong S, Miao Y, Zhao S, Liu L, Wu Z, Kang J, Liu A. Association between higher systemic immune inflammation index (SII) and deep vein thrombosis (DVT) in patients with aneurysmal subarachnoid hemorrhage (aSAH) after endovascular treatment. Neurosurg Rev 2023; 46:142. [PMID: 37338601 DOI: 10.1007/s10143-023-02048-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/21/2023] [Accepted: 06/10/2023] [Indexed: 06/21/2023]
Abstract
Inflammation contributes to deep vein thrombosis (DVT) formation in patients with aSAH after endovascular treatment. The relationship between systemic immune-inflammatory index (SII) as an inflammatory marker and DVT formation remains unclear. Thus, this study aims to evaluate the association between SII and aSAH-associated DVT following endovascular treatment. We enrolled 562 consecutive patients with aSAH after endovascular treatment at three centers from January 2019 to September 2021. The endovascular treatments included simple coil embolization and stent-assisted coil embolization. Deep venous thrombosis (DVT) was assessed by Color Doppler ultrasonography (CDUS). Multivariate logistic regression analysis was used to establish the model. We assessed the association of the SII, neutrophil-to-lymphocyte ratio (NLR), the systemic inflammatory response index (SIRI), platelet-lymphocyte ratio (PLR), and DVT by using restricted cubic spline (RCS). ASAH-associated DVT was found in 136 (24.20%) patients. Based on the multiple logistic regression analysis, the correlation was found between aSAH-associated DVT and elevated SII (fourth quartile) (adjusted odds ratio = 8.20 [95% confidence interval, 3.76-17.92]; p < 0.001 [p for trend < 0.001]), elevated NLR (fourth quartile) (adjusted odds ratio = 6.94 [95% confidence interval, 3.24-14.89]; p < 0.001 [p for trend < 0.001]), elevated SIRI (fourth quartile) (adjusted odds ratio = 4.82 [95% confidence interval, 2.36-9.84]; p < 0.001 [p for trend < 0.001]), and elevated PLR (fourth quartile) (adjusted odds ratio = 5.49 [95% confidence interval, 2.61-11.57]; p < 0.001 [p for trend < 0.001]). The increased SII was correlated with the formation of aSAH-associated DVT after endovascular treatment.
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Affiliation(s)
- Yongkai Qin
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Baorui Zhang
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Shangfeng Zhao
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Wei Wang
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Siyuan Dong
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Yan Miao
- Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Songfeng Zhao
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Lang Liu
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Zhongxue Wu
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jun Kang
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
| | - Aihua Liu
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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3
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Ji R, Wang L, Liu X, Liu Y, Wang D, Wang W, Zhang R, Jiang R, Jia J, Feng H, Ding Z, Ju Y, Lu J, Liu G, Wang Y, Zhao X. A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage. Front Neurol 2022; 13:930500. [PMID: 36388194 PMCID: PMC9650187 DOI: 10.3389/fneur.2022.930500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 09/14/2022] [Indexed: 12/03/2022] Open
Abstract
Background and purpose Studies showed that patients with hemorrhagic stroke are at a higher risk of developing deep vein thrombosis (DVT) than those with ischemic stroke. We aimed to develop a risk score (intracerebral hemorrhage-associated deep vein thrombosis score, ICH-DVT) for predicting in-hospital DVT after ICH. Methods The ICH-DVT was developed based on the Beijing Registration of Intracerebral Hemorrhage, in which eligible patients were randomly divided into derivation (60%) and internal validation cohorts (40%). External validation was performed using the iMCAS study (In-hospital Medical Complication after Acute Stroke). Independent predictors of in-hospital DVT after ICH were obtained using multivariable logistic regression, and β-coefficients were used to generate a scoring system of the ICH-DVT. The area under the receiver operating characteristic curve (AUROC) and the Hosmer–Lemeshow goodness-of-fit test were used to assess model discrimination and calibration, respectively. Results The overall in-hospital DVT after ICH was 6.3%, 6.0%, and 5.7% in the derivation (n = 1,309), internal validation (n = 655), and external validation (n = 314) cohorts, respectively. A 31-point ICH-DVT was developed from the set of independent predictors including age, hematoma volume, subarachnoid extension, pneumonia, gastrointestinal bleeding, and length of hospitalization. The ICH-DVT showed good discrimination (AUROC) in the derivation (0.81; 95%CI = 0.79–0.83), internal validation (0.83, 95%CI = 0.80–0.86), and external validation (0.88; 95%CI = 0.84–0.92) cohorts. The ICH-DVT was well calibrated (Hosmer–Lemeshow test) in the derivation (P = 0.53), internal validation (P = 0.38), and external validation (P = 0.06) cohorts. Conclusion The ICH-DVT is a valid grading scale for predicting in-hospital DVT after ICH. Further studies on the effect of the ICH-DVT on clinical outcomes after ICH are warranted.
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Affiliation(s)
- Ruijun Ji
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
| | - Linlin Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinyu Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanfang Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dandan Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Wenjuan Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Runhua Zhang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ruixuan Jiang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiaokun Jia
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Feng
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zeyu Ding
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yi Ju
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jingjing Lu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
- *Correspondence: Xingquan Zhao
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Tøndel BG, Morelli VM, Hansen J, Brækkan SK. Risk factors and predictors for venous thromboembolism in people with ischemic stroke: A systematic review. J Thromb Haemost 2022; 20:2173-2186. [PMID: 35815351 PMCID: PMC9796787 DOI: 10.1111/jth.15813] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 06/15/2022] [Accepted: 07/01/2022] [Indexed: 01/07/2023]
Abstract
Identification of individuals with ischemic stroke at particularly high risk of venous thromboembolism (VTE) is crucial for targeted thromboprophylaxis. To guide clinical decision-making and development of risk prediction models, increased knowledge on risk factors and biomarkers is needed. Therefore, we set out to identify risk factors and predictors for VTE in people with ischemic stroke by conducting a systematic review of the literature. Medline and Embase were searched from January 1990 and onwards. Studies investigating demographic, clinical, and/or laboratory factors for stroke-related VTE were considered. Two reviewers screened all retrieved records, independently and in duplicate. Risk of bias assessments were guided by a structured framework (PROSPERO-ID: CRD42020176361). Of 4674 identified records, 26 studies were included. Twenty-six demographic, clinical, and laboratory factors associated with increased risk of stroke-related VTE after multivariable adjustments were identified. The following factors were reported by ≥2 studies: prior VTE, cancer, prestroke disability, leg weakness, increasing lesion volume of the brain infarct, infection, low Barthel Index, increasing length of hospital stay, biochemical indices of dehydration, as well as elevated levels of D-dimer, C-reactive protein, and homocysteine. The majority of the studies were of poor quality with moderate or high risk of bias. In conclusion, this systematic review informs on several potential risk factors and predictors for VTE in people with ischemic stroke. To improve risk stratification and guide development of risk prediction models, further confirmation is needed because there were few high-quality studies on each factor.
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Affiliation(s)
- Birgitte G. Tøndel
- Thrombosis Research Center (TREC), Department of Clinical MedicineUiT – the Arctic University of NorwayTromsøNorway
| | - Vânia M. Morelli
- Thrombosis Research Center (TREC), Department of Clinical MedicineUiT – the Arctic University of NorwayTromsøNorway
- Division of Internal MedicineUniversity Hospital of North NorwayTromsøNorway
| | - John‐Bjarne Hansen
- Thrombosis Research Center (TREC), Department of Clinical MedicineUiT – the Arctic University of NorwayTromsøNorway
- Division of Internal MedicineUniversity Hospital of North NorwayTromsøNorway
| | - Sigrid K. Brækkan
- Thrombosis Research Center (TREC), Department of Clinical MedicineUiT – the Arctic University of NorwayTromsøNorway
- Division of Internal MedicineUniversity Hospital of North NorwayTromsøNorway
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5
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Li L, Murthy SB. Cardiovascular Events After Intracerebral Hemorrhage. Stroke 2022; 53:2131-2141. [DOI: 10.1161/strokeaha.122.036884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cardiovascular events after primary intracerebral hemorrhage (ICH) have emerged as a leading cause of poor functional outcomes and mortality during the long-term recovery after an ICH. These events encompass arterial ischemic events such as ischemic stroke and myocardial infarction, arterial hemorrhagic events that include recurrent ICH, and venous thrombotic events such as venous thromboembolism. The purpose of this review is to summarize the cardiovascular complications after ICH, epidemiology and associated risk factors, and their impact on ICH outcomes. Additionally, we will highlight possible pathophysiological mechanisms to explain the short- and long-term increased risks of ischemic and hemorrhagic events after ICH. Finally, we will highlight potential secondary stroke and venous thrombotic prevention strategies often not considered after ICH, balanced against the risk of ICH recurrence.
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Affiliation(s)
- Linxin Li
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom (L.L.)
| | - Santosh B. Murthy
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, NY (S.B.M.)
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Ji R, Wang L, Ma F, Wang W, Liu Y, Zhang R, Wang D, Jia J, Feng H, Liu G, Ju Y, Lu J, Zhao X. Intracerebral Hemorrhage Progression Score: A Novel Risk Score to Predict Neurological Deterioration after Intracerebral Hemorrhage. J Stroke 2022; 24:307-310. [PMID: 35677988 PMCID: PMC9194542 DOI: 10.5853/jos.2022.00619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/10/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Ruijun Ji
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
| | - Linlin Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Feifei Ma
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenjuan Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yanfang Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Runhua Zhang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dandan Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiaokun Jia
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Feng
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yi Ju
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingjing Lu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
- Correspondence: Xingquan Zhao Department of Neurology, Tiantan Hospital, Capital Medical University, No.119 Nansihuan West Road, Fengtai District, Beijing 100070, China Tel: +86-10-59978350 Fax: +86-10-59973383 E-mail:
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Cui P, McCullough LD, Hao J. Brain to periphery in acute ischemic stroke: Mechanisms and clinical significance. Front Neuroendocrinol 2021; 63:100932. [PMID: 34273406 PMCID: PMC9850260 DOI: 10.1016/j.yfrne.2021.100932] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 06/27/2021] [Accepted: 07/12/2021] [Indexed: 01/21/2023]
Abstract
The social and public health burdens of ischemic stroke have been increasing worldwide. In addition to focal brain damage, acute ischemic stroke (AIS) provokes systemic abnormalities across peripheral organs. AIS profoundly alters the autonomic nervous system, hypothalamic-pituitary-adrenal axis, and immune system, which further yield deleterious organ-specific consequences. Poststroke systemic pathological alterations in turn considerably contribute to the progression of ischemic brain injury, which accounts for the substantial impact of systemic complications on stroke outcomes. This review provides a comprehensive and updated pathophysiological model elucidating the systemic effects of AIS. To address their clinical significance and inform stroke management, we also outline the resulting systemic complications at particular stages of AIS and highlight the mechanisms. Future therapeutic strategies should attempt to integrate the treatment of primary brain lesions with interventions for secondary systemic complications, and should be tailored to patient individualized characteristics to optimize stroke outcomes.
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Affiliation(s)
- Pan Cui
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Louise D McCullough
- Department of Neurology, University of Texas Health Science Centre, Houston, TX 77030, USA
| | - Junwei Hao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
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Chu Q, Liao L, Wei W, Ye Z, Zeng L, Qin C, Tang Y. Venous Thromboembolism in ICU Patients with Intracerebral Hemorrhage: Risk Factors and the Prognosis After Anticoagulation Therapy. Int J Gen Med 2021; 14:5397-5404. [PMID: 34526808 PMCID: PMC8436256 DOI: 10.2147/ijgm.s327676] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 08/26/2021] [Indexed: 12/30/2022] Open
Abstract
Purpose Venous thromboembolism (VTE) is a common complication of intracerebral hemorrhage (ICH) patients in intensive care unit (ICU), but anticoagulation therapy of ICH patients with VTE remains controversial. We aim to explore the risk factors and prognosis of anticoagulation therapy in ICH patients with VTE. Patients and Methods Medical records of ICH patients were collected from the Medical Information Mart for Intensive Care III (MIMIC-III version 1.4) database. The risk factors and prognosis of anticoagulation therapy in ICH patients with VTE were assessed by multivariable logistic regression analysis and Kaplan–Meier survival analysis, respectively. Results A total of 848 ICH patients were included in our study, of whom 69 ICH patients with VTE were screened, including 58 patients with deep vein thrombosis (DVT), 12 patients with pulmonary embolism (PE), and 1 patient with DVT and PE. In the multivariable logistic regression analysis, malignancy (odds ratio (OR): 4.262, 95% confidence interval (CI): 2.263–8.027, P=0.000), pulmonary circulation disease (OR: 28.717, 95% CI: 9.566–86.208, P=0.000), coagulopathy (OR: 2.453, 95% CI: 1.098–5.483, P=0.029), age > 60 years old (OR: 2.138, 95% CI: 1.087–4.207, P=0.028) and hospitalization time > 16 days (OR: 2.548, 95% CI: 1.381–4.701, P=0.003) were independent risk factors for VTE in ICH patients. Kaplan–Meier survival analysis and log-rank test found that, compared to non-anticoagulation group, anticoagulation group had higher cumulative survival rates during hospitalization, 28-day, 3-month, 1-year, and 4-year after admission, respectively. Conclusion Malignancy, pulmonary circulation disease, coagulopathy, age >60 years old and hospitalization time >16 days were independent risk factors for VTE in ICH patients, and anticoagulation therapy for VTE in ICH patients may be safe and effective. These findings need to be verified by more high-quality and well-designed randomized controlled trials.
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Affiliation(s)
- Quanhong Chu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Lin Liao
- Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Wenxin Wei
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Ziming Ye
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Li Zeng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Chao Qin
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Yanyan Tang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China
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9
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Liu Z, Liu D, Guo ZN, Jin H, Sun T, Ni C, Yan X. Incidence and Risk Factors of Lower-Extremity Deep Vein Thrombosis After Thrombolysis Among Patients with Acute Ischemic Stroke. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:1107-1114. [PMID: 34511981 PMCID: PMC8427686 DOI: 10.2147/pgpm.s321084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/15/2021] [Indexed: 11/25/2022]
Abstract
Background Deep vein thrombosis (DVT) is common among patients with stroke. However, the incidence of DVT in acute ischemic stroke patients treated with thrombolytic therapy and the risk factors associated with this condition are unknown. Objective This study aimed to investigate the incidence and risk factors of DVT after thrombolysis in patients with acute ischemic stroke. Settings and Methods We retrospectively reviewed the medical records of all patients with acute ischemic stroke who underwent ultrasonic examination after intravenous thrombolysis between April 2017 and December 2019 at the stroke center of the First Hospital of Jilin University, China. Color duplex ultrasound was used to diagnosis DVT in all patients within 72 h after intravenous thrombolysis. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for DVT. Results Overall, 474 patients were included in the study. Of these, 75 (15.8%) developed DVT (95% confidence interval 12.5–19.1). Older age was the risk factor that most significantly affected the development of DVT (p = 0.001). Compared to patients younger than 60 years old, those aged 60–69 years and ≥70 years had a higher risk of DVT, at rates of 2.201 (95% CI: 1.033–4.689; p < 0.05) and 4.241 (95% CI: 2.016–8.922; p < 0.001) times higher, respectively. Patients with higher triglyceride levels (odds ratio 0.545, 95% CI: 0.372–0.799, p = 0.002) and longer activated partial thromboplastin time (OR 0.927, 95% CI: 0.862–0.996, p = 0.040) were less likely to have DVT. Conclusion DVT is a common complication among patients undergoing intravenous thrombolysis after acute ischemic stroke. Advanced age may increase the occurrence of DVT to some extent. For these patients, safe antiplatelet therapy should be explored and implemented as soon as possible.
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Affiliation(s)
- Zhuo Liu
- Fourth Military Medical University, School of Nursing, Xi'an, People's Republic of China.,Department of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Dandan Liu
- Physical Examination Center, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Zhen-Ni Guo
- Department of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Hang Jin
- Department of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Tong Sun
- Cadre Ward, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Chunping Ni
- Fourth Military Medical University, School of Nursing, Xi'an, People's Republic of China
| | - Xiuli Yan
- Department of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China
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10
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Pan X, Wang Z, Fang Q, Li T, Xu L, Deng S. A nomogram based on easily obtainable parameters for distal deep venous thrombosis in patients after acute stroke. Clin Neurol Neurosurg 2021; 205:106638. [PMID: 33930795 DOI: 10.1016/j.clineuro.2021.106638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/19/2021] [Accepted: 04/07/2021] [Indexed: 01/13/2023]
Abstract
OBJECTIVES To develop and validate a nomogram to predict the probability of distal deep venous thrombosis (DVT) within first 14 days of stroke onset in patients by using easily obtainable parameters. METHODS This is a retrospective study. The presence of distal DVT was evaluated using ultrasonography within the first 14 days. Data were randomly assigned to either a modelling data set or a validation data set. Univariable and multivariate logistic regression analysis was used to determine risk scores to predict distal DVT in the modelling data set, and nomogram and calibration curve were constructed by R project. RESULTS A total of 1620 patients with acute stroke were enrolled in the study. The multivariate analysis revealed that the old age, female gender, haemorrhagic stroke, coronary heart disease, lower limb weakness, a low serum albumin level, and a high D-dimer level are highly predictive of 14-day risk of distal DVT. The AUC of the nomogram to predict the 14-day risk of distal DVT was 0.785 (95% CI, 0.742-0.827) and 0.813 (0.766-0.860) for the modelling cohort and external validation cohort, respectively. Moreover, the calibration of the nomogram showed a nonsignificant Hosmer-Lemeshow test statistic in the modelling (P = 0.876) and validation (P = 0.802) sets. With respect to decision curve analyses, the nomogram exhibited preferable net benefit gains than the staging system across a wide range of threshold probabilities. CONCLUSION The established nomogram displayed a superior performance in terms of predictive accuracy, discrimination capability, and clinical utility, may be helpful for clinicians to identify high-risk groups of distal DVT.
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Affiliation(s)
- Xi Pan
- Departments of Neurology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| | - Zhi Wang
- Departments of Neurology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| | - Qi Fang
- Departments of Neurology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| | - Tan Li
- Departments of Neurology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| | - Lan Xu
- Nursing department, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| | - Shengming Deng
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
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Development and Validation of a Nomogram for Lower Extremity Deep Venous Thrombosis in Patients after Acute Stroke. J Stroke Cerebrovasc Dis 2021; 30:105683. [PMID: 33676327 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105683] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/27/2021] [Accepted: 02/12/2021] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES To develope and validate a nomogram to predict the probability of deep venous thrombosis (DVT) in patients after acute stroke during the first 14 days with clinical features and easily obtainable biochemical parameters. METHODS This is a single-center prospective cohort study. The potential predictive variables for DVT at baseline were collected, and the presence of DVT was evaluated using ultrasonography within the first 14 days. Data were randomly assigned to either a modeling data set or a validation data set. Univariable and Multivariate logistic regression analysis was used to develop risk scores to predict DVT in the modeling data set and the area under the receiver operating characteristic curve to validate the score in the test data set, and nomogram and calibration curve were constructed by R project. RESULTS A total of 1651 patients with acute stroke were enrolled in the study. The overall incidence of DVT after acute stroke within two weeks was 14.4%. Multivariable analysis detected older age (≥65 years),female gender, hemorrhagic stroke, malignancy, lower limb muscle strength<3 grade, Albumin<40 g·L-1 and D-dimer>0.5 mg·L-1 were highly predictive of 14-day risk of DVT. The AUC of the nomogram with these above-mentioned independent risk factors to predict the 14-day risk of DVT was 0.756 (95% CI, 0.712-0.812) and 0.811 (95%CI, 0.762-0.859) for the modeling cohort and external validation cohort, respectively. Moreover, the calibration of the nomogram showed a nonsignificant Hosmer-Lemeshow test statistic in the modeling (P = 0.250) and validation sets (P = 0.995). With respect to decision curve analyses, the nomogram exhibited preferable net benefit gains than the staging system across a wide range of threshold probabilities. CONCLUSION This nomogram had a good performance in predictive accuracy, discrimination capability, and clinical utility, which was helpful for clinicians to identify high-risk groups of DVT and formulate relevant prevention and treatment measures.
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12
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Paciaroni M, Agnelli G, Alberti A, Becattini C, Guercini F, Martini G, Tassi R, Marotta G, Venti M, Acciarresi M, Mosconi MG, Marcheselli S, Fratticci L, D'Amore C, Ageno W, Versino M, De Lodovici ML, Carimati F, Pezzini A, Padovani A, Corea F, Scoditti U, Denti L, Tassinari T, Silvestrelli G, Ciccone A, Caso V. PREvention of VENous Thromboembolism in Hemorrhagic Stroke Patients - PREVENTIHS Study: A Randomized Controlled Trial and a Systematic Review and Meta-Analysis. Eur Neurol 2020; 83:566-575. [PMID: 33190135 DOI: 10.1159/000511574] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 09/05/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND In this randomized trial, currently utilized standard treatments were compared with enoxaparin for the prevention of venous thromboembolism (VTE) in patients with intracerebral hemorrhage (ICH). METHODS Enoxaparin (0.4 mg daily for 10 days) was started after 72 h from the onset of ICH. The primary outcome was symptomatic or asymptomatic deep venous thrombosis as assessed by ultrasound at the end of study treatment. The safety of enoxaparin was also assessed. We included the results of this study in a meta-analysis of all relevant studies comparing anticoagulants with standard treatments or placebo. RESULTS PREVENTIHS was prematurely stopped after the randomization of 73 patients, due to the low recruitment rate. The prevalence of any VTE at 10 days was 15.8% in the enoxaparin group and 20.0% in the control group (RR 0.79 [95% CI 0.29-2.12]); 2.6% of enoxaparin and 8.6% of standard therapy patients had severe bleedings (RR 0.31 [95% CI 0.03-2.82]). When these results were meta-analyzed with the results of the selected studies (4,609 patients; 194 from randomized trials), anticoagulants were associated with a nonsignificant reduction in any VTE (OR 0.81; 95% CI 0.43-1.51), in pulmonary embolism (OR 0.53; 95% CI, 0.17-1.60), and in mortality (OR 0.85; 95% CI 0.64-1.12) without increase in hematoma enlargement (OR 0.97; 95% CI, 0.31-3.04). CONCLUSIONS In patients with acute ICH, the use of anticoagulants to prevent VTE was safe but the overall level of evidence was low due to the low number of patients included in randomized clinical trials.
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Affiliation(s)
- Maurizio Paciaroni
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy,
| | - Giancarlo Agnelli
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | - Andrea Alberti
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | - Cecilia Becattini
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | - Francesco Guercini
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | | | | | | | - Michele Venti
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | - Monica Acciarresi
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | - Maria Giulia Mosconi
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
| | | | - Lara Fratticci
- Humanitas Clinical and Research Center - IRCSS, Milano, Italy
| | - Cataldo D'Amore
- Stroke Unit, Ospedale di Portogruaro, Portogruaro (Venice), Italy
| | - Walter Ageno
- Department of Medicine, University of Insubria, Ospedale di Circolo, Varese, Italy
| | - Maurizio Versino
- Neurology and Stroke Unit, ASST Settelaghi, DMC University of Insubria, Varese, Italy
| | | | | | - Alessandro Pezzini
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Francesco Corea
- UO Gravi Cerebrolesioni, San Giovanni Battista Hospital, Foligno, Italy
| | - Umberto Scoditti
- Stroke Unit, Neuroscience Department, University of Parma, Parma, Italy
| | - Licia Denti
- Stroke Unit - Dipartimento Geriatrico Riabilitativo - University of Parma, Parma, Italy
| | - Tiziana Tassinari
- Stroke Unit & Department of Neurology, Santa Corona Hospital, Pietra Ligure, Italy
| | | | - Alfonso Ciccone
- S.C. di Neurologia e S.S. di Stroke Unit, ASST di Mantova, Mantova, Italy
| | - Valeria Caso
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Perugia, Italy
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13
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Li J, Wang D, Wang W, Jia J, Kang K, Zhang J, Zhao X. In-hospital venous thromboembolism is associated with poor outcome in patients with spontaneous intracerebral hemorrhage: A multicenter, prospective study. J Stroke Cerebrovasc Dis 2020; 29:104958. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.104958] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 05/08/2020] [Accepted: 05/13/2020] [Indexed: 10/24/2022] Open
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Unda SR, Labagnara K, Birnbaum J, Wong M, de Silva N, Terala H, de la Garza Ramos R, Haranhalli N, Altschul DJ. Impact of hospital-acquired complications in long-term clinical outcomes after subarachnoid hemorrhage. Clin Neurol Neurosurg 2020; 194:105945. [PMID: 32480297 DOI: 10.1016/j.clineuro.2020.105945] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/17/2020] [Accepted: 05/18/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Patients with subarachnoid hemorrhage (SAH) usually have prolonged hospitalizations due to the need to closely monitor their neurological status. Therefore, these patients have higher risk of experiencing hospital-acquired complications (HACs), which can complicate their clinical course and recovery. However, there is no evidence on the impact of HACs of long-term clinical outcomes. We aimed to identify if HACs are independent risk factors for poor clinical outcomes at 12-18 months of follow-up. PATIENTS AND METHODS Retrospective analysis of 323 patients with SAH diagnosis from 2013 until June 2018. We collected patient-related factors (age, sex, body mass index (BMI), ethnicity), comorbidities (hypertension, smoke status, diabetes, coronary heart diseases, prothrombotic diseases and hypercholesterolemia), clinical variables (Hunt-Hess grade, modified Fisher grade, treatment, delayed cerebral ischemia), aneurysm characteristics (location, size) and HACs (pneumonia, deep vein thrombosis (DVT), urinary tract infection (UTI), external ventricular drainage (EVD) infections, sepsis, hyponatremia and acute respiratory distress syndrome). Poor outcomes were defined as mRS ≥ 3. RESULTS 204 patients were included in the primary analysis. 82 (40.2%) experienced one or more HACs during their hospital course. Patients that developed HACs have significantly increased ICU (12.1 ± 6.6 vs 24.3 ± 23.6, p < .001) and hospital (18.7 ± 14.2 vs 35.3 ± 26.3, p < .001) length of stays. Moreover, patients with HACs had significant higher rates of delayed cerebral ischemia, non-routine discharge and poor outcomes at 90 days. 177 patients had complete follow-ups at 12-18 months, HACs were independent risk factors for poor functional outcomes at 12-18 months after adjusting for demographic, comorbidities and clinical variables [OR = 3.205, 95% CI 1.231-8.347, p < 0.001]. CONCLUSIONS HACs are an independent risk factor of sustaining poor clinical outcomes 12-18 months after a SAH. Furthermore, HACs are significantly related with the occurrence of DCI, with non-routine discharge and 90-day poor functional outcomes.
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Affiliation(s)
- Santiago R Unda
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA.
| | - Kevin Labagnara
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
| | - Jessie Birnbaum
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
| | - Megan Wong
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
| | - Neranjan de Silva
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
| | - Harshit Terala
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
| | | | - Neil Haranhalli
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
| | - David J Altschul
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, NY USA
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