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Greco S, Salatiello A, De Motoli F, Giovine A, Veronese M, Cupido MG, Pedarzani E, Valpiani G, Passaro A. Pre-hospital glycemia as a biomarker for in-hospital all-cause mortality in diabetic patients - a pilot study. Cardiovasc Diabetol 2024; 23:153. [PMID: 38702769 PMCID: PMC11069282 DOI: 10.1186/s12933-024-02245-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with considerable economic ramifications. While blood glucose management and long-term metabolic target setting for home care and outpatient treatment follow established procedures, the approach for short-term targets during hospitalization varies due to a lack of clinical consensus. Our study aims to elucidate the impact of pre-hospitalization and intra-hospitalization glycemic indexes on in-hospital survival rates in individuals with T2DM, addressing this notable gap in the current literature. METHODS In this pilot study involving 120 hospitalized diabetic patients, we used advanced machine learning and classical statistical methods to identify variables for predicting hospitalization outcomes. We first developed a 30-day mortality risk classifier leveraging AdaBoost-FAS, a state-of-the-art ensemble machine learning method for tabular data. We then analyzed the feature relevance to identify the key predictive variables among the glycemic and routine clinical variables the model bases its predictions on. Next, we conducted detailed statistical analyses to shed light on the relationship between such variables and mortality risk. Finally, based on such analyses, we introduced a novel index, the ratio of intra-hospital glycemic variability to pre-hospitalization glycemic mean, to better characterize and stratify the diabetic population. RESULTS Our findings underscore the importance of personalized approaches to glycemic management during hospitalization. The introduced index, alongside advanced predictive modeling, provides valuable insights for optimizing patient care. In particular, together with in-hospital glycemic variability, it is able to discriminate between patients with higher and lower mortality rates, highlighting the importance of tightly controlling not only pre-hospital but also in-hospital glycemic levels. CONCLUSIONS Despite the pilot nature and modest sample size, this study marks the beginning of exploration into personalized glycemic control for hospitalized patients with T2DM. Pre-hospital blood glucose levels and related variables derived from it can serve as biomarkers for all-cause mortality during hospitalization.
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Affiliation(s)
- Salvatore Greco
- Department of Translational Medicine and for Romagna, University of Ferrara, Via Luigi Borsari, 46, 46 - 44121, Ferrara, Ferrara, Italy
- Medical Department, Azienda Unità Sanitaria Locale di Ferrara, Delta Hospital, Via Valle Oppio, 2, 44023, Lagosanto, Ferrara, Italy
| | - Alessandro Salatiello
- Department of Computer Science, University of Tübingen, Geschwister-Scholl-Platz, 72074, Tübingen, Germany
| | - Francesco De Motoli
- Local Health Unit of Ferrara, Medical Direction, Via Cassoli, 30, 44121, Ferrara, Italy
| | - Antonio Giovine
- Medical Department, Azienda Unità Sanitaria Locale di Ferrara, Delta Hospital, Via Valle Oppio, 2, 44023, Lagosanto, Ferrara, Italy
| | - Martina Veronese
- Research and Innovation Unit, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Maria Grazia Cupido
- Long-term Care, Azienda Unità Sanitaria Locale di Ferrara, Delta Hospital, Via Valle Oppio, 2, 44023, Lagosanto, Ferrara, Italy
| | - Emma Pedarzani
- Research and Innovation Unit, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Giorgia Valpiani
- Research and Innovation Unit, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Angelina Passaro
- Department of Translational Medicine and for Romagna, University of Ferrara, Via Luigi Borsari, 46, 46 - 44121, Ferrara, Ferrara, Italy.
- Medical Dapartment, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy.
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Liu Z, Yang K, Gu H, Wei M, Feng X, Yu F, Du Y, Li Z, Xia J. Impact of Off-Hour Admission on In-Hospital Outcomes for Patients With Stroke Receiving Reperfusion Therapy in China. Stroke 2024; 55:1359-1369. [PMID: 38545773 DOI: 10.1161/strokeaha.123.046096] [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: 12/05/2023] [Accepted: 02/29/2024] [Indexed: 04/24/2024]
Abstract
BACKGROUND The structure and staffing of hospitals greatly impact patient outcomes, with frequent changes occurring during nights and weekends. This retrospective cohort study assessed the impact of admission timing on in-hospital management and outcomes for patients with stroke receiving reperfusion therapy in China using data from a nationwide registry. METHODS Data from patients receiving reperfusion therapy were extracted from the Chinese Stroke Center Alliance. Hospital admission time was categorized according to day/evening versus night and weekday versus weekend. Primary outcomes were in-hospital death or discharge against medical advice, hemorrhage transformation, early neurological deterioration, and major adverse cardiovascular events. Logistic regression was performed to compare in-hospital management performance and outcomes based on admission time categories. RESULTS Overall, 42 381 patients received recombinant tissue-type plasminogen activator (r-tPA) therapy, and 5224 underwent endovascular treatment (EVT). Patients admitted during nighttime had a higher probability of receiving r-tPA therapy within 4.5 hours from onset or undergoing EVT within 6 hours from onset compared with those admitted during day/evening hours (adjusted odds ratio, 1.04 [95% CI, 1.01-1.08]; P=0.021; adjusted odds ratio, 1.72 [95% CI, 1.59-1.86]; P<0.001, respectively). However, no significant difference was observed between weekend and weekday admissions for either treatment. No notable differences were noted between weekends and weekdays or nighttime and daytime periods in door-to-needle time for r-tPA or door-to-puncture time for EVT initiation. Furthermore, weekend or nighttime admission did not have a significant effect on the primary outcomes of r-tPA therapy or EVT. Nevertheless, in patients undergoing EVT, a higher incidence of pneumonia was observed among those admitted at night compared with those admitted during day/evening hours (adjusted odds ratio, 1.22 [95% CI, 1.05-1.42]; P=0.011). CONCLUSIONS Patients admitted at nighttime were more likely to receive r-tPA therapy or EVT within the time window recommended in the guidelines. However, patients receiving EVT admitted at night had an increased risk of pneumonia.
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Affiliation(s)
- Zeyu Liu
- Department of Neurology, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
| | - Kaixuan Yang
- China National Clinical Research Center for Neurological Diseases (K.Y., H.G., Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
- National Center for Healthcare Quality Management in Neurological Diseases (K.Y., H.G., Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases (K.Y., H.G., Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
- National Center for Healthcare Quality Management in Neurological Diseases (K.Y., H.G., Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
| | - Xianjing Feng
- Department of Neurology, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
| | - Fang Yu
- Department of Neurology, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
| | - Yang Du
- Department of Neurology, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases (K.Y., H.G., Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
- National Center for Healthcare Quality Management in Neurological Diseases (K.Y., H.G., Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
- Vascular Neurology, Department of Neurology (Z. Li), Beijing Tiantan Hospital, Capital Medical University, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital (Z. Liu, M.W., X.F., F.Y., Y.D., J.X.), Central South University, Changsha, Hunan, China
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Roper M, Cerilo P, Bena J, Morrison S, Siegmund LA. Patient factors associated with treatment time for stroke before and after the onset of COVID-19. Geriatr Nurs 2024; 56:1-6. [PMID: 38181484 DOI: 10.1016/j.gerinurse.2023.12.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVES Prior to our study, little was known about factors related to time-to-treatment for stroke pre- and post-COVID-19. DESIGN This was a retrospective cohort study to evaluate factors associated with delayed door-to-needle time among patients with acute ischemic stroke over two time-periods. RESULTS Final sample consisted of 932 charts with mean age of 68.1(±15.6). Significant factors associated with shorter door-to-needle time included ≤ four hours since symptom onset and stroke occurring during post-Covid-19 time-period. Those on anti-coagulants had 72 % higher odds of longer door-to-needle time. As patients got older and stroke symptoms were more severe, less time was spent in door-to-imaging. CONCLUSION Results highlight the importance of early recognition of stroke symptoms and rapid transport to the hospital. Faster response times in post-Covid-19 time-period may be attributable to systematic processes put in place to address pandemic-related challenges. Outcomes may depend on research to identify gaps in stroke treatment.
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Affiliation(s)
- Myheka Roper
- Cleveland Clinic Florida, Surgical Intensive Care Unit, 3100 Weston Rd., Weston, FL 33331, United States
| | - Perlita Cerilo
- Cleveland Clinic Florida, Nursing Administration, 3100 Weston Rd., Weston, FL 33331, United States
| | - James Bena
- Cleveland Clinic, Quantitative Health Sciences, 9500 Euclid Ave., Cleveland, OH 44195, United States
| | - Shannon Morrison
- Cleveland Clinic, Quantitative Health Sciences, 9500 Euclid Ave., Cleveland, OH 44195, United States
| | - Lee Anne Siegmund
- Cleveland Clinic, Nursing Research and Innovation, 9500 Euclid Ave., Cleveland, OH 44195, United States.
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Korompoki E, Ntaios G, Tountopoulou A, Mavraganis G, Tsampalas E, Kalliontzakis I, Vassilopoulou S, Manios E, Savopoulos C, Milionis H, Protogerou A, Kakaletsis N, Galanis P, Kaitelidou D, Siskou O, Vemmos K. Quality Indicators and Clinical Outcomes of Acute Stroke: Results from a Prospective Multicenter Registry in Greece (SUN4P). J Clin Med 2024; 13:917. [PMID: 38337611 PMCID: PMC10856279 DOI: 10.3390/jcm13030917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/21/2024] [Accepted: 02/01/2024] [Indexed: 02/12/2024] Open
Abstract
AIM The Stroke Units Necessity for Patients (SUN4P) project aims to provide essential data on stroke healthcare in Greece. Herein, we present results on established quality indicators and outcomes after first-ever stroke occurrences. METHODS This prospective multicenter study included consecutive patients admitted to nine hospitals across Greece in 2019-2021. Descriptive statistics were used to present patients' characteristics, key performance measures and stroke outcomes. RESULTS Among 892 patients, 755 had ischemic stroke (IS) (mean age 75.6 ± 13.6, 48.7% males) and 137 had hemorrhagic stroke (HS) (mean age 75.8 ± 13.2, 57.7% males). Of those, 15.4% of IS and 8% of HS patients were treated in the acute stroke unit (ASU) and 20.7% and 33.8% were admitted to the intensive care unit (ICU) or high-dependency unit (HDU), respectively. A total of 35 (4.6%) out of 125 eligible patients received intravenous alteplase with a door-to needle time of 60 min (21-90). The time to first scan for IS patients was 60 min (31-105) with 53.2% undergoing a CT scan within 60 min post presentation. Furthermore, 94.4% were discharged on antiplatelets, 69.8% on lipid-lowering therapy and 61.6% on antihypertensives. Oral anticoagulants (OAC) were initiated in 73.2% of the 153 IS patients with atrial fibrillation (AF). Among the 687 IS patients who survived, 85.4% were discharged home, 12% were transferred to rehabilitation centers, 1.2% to nursing homes and 1.3% to another hospital. CONCLUSIONS The SUN4P Registry is the first study to provide data from a prospectively collected cohort of consecutive patients from nine representative national hospitals. It represents an important step in the evaluation and improvement of the quality of acute stroke care in Greece.
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Affiliation(s)
- Eleni Korompoki
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, 11528 Athens, Greece; (G.M.); (E.M.)
| | - George Ntaios
- Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41334 Larissa, Greece;
| | - Argyro Tountopoulou
- 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (A.T.); (S.V.)
| | - Georgios Mavraganis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, 11528 Athens, Greece; (G.M.); (E.M.)
| | | | | | - Sofia Vassilopoulou
- 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece; (A.T.); (S.V.)
| | - Efstathios Manios
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, 11528 Athens, Greece; (G.M.); (E.M.)
| | - Christos Savopoulos
- First Propaedeutic Internal Medicine Department, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece;
| | - Haralampos Milionis
- Department of Internal Medicine, School of Medicine, University of Ioannina, 45500 Ioannina, Greece;
| | - Athanasios Protogerou
- Clinic-Laboratory of Pathophysiology, First Department of Propeadeutic Internal Medicine, Laiko Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Nikolaos Kakaletsis
- Second Propedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, Hippokrateion General Hospital of Thessaloniki, 54643 Thessaloniki, Greece;
| | - Petros Galanis
- Center for Health Services Management and Evaluation, Nursing Department, National and Kapodistrian University of Athens, 11527 Athens, Greece; (P.G.); (D.K.); (O.S.)
| | - Daphne Kaitelidou
- Center for Health Services Management and Evaluation, Nursing Department, National and Kapodistrian University of Athens, 11527 Athens, Greece; (P.G.); (D.K.); (O.S.)
| | - Olga Siskou
- Center for Health Services Management and Evaluation, Nursing Department, National and Kapodistrian University of Athens, 11527 Athens, Greece; (P.G.); (D.K.); (O.S.)
- Department of Tourism Studies, University of Piraeus, 18534 Piraeus, Greece
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Deng YM, Sun JJ, Gu HQ, Yang KX, Wang YJ, Li ZX, Zhao XQ. Predictors of dysphagia screening and pneumonia among patients with intracerebral haemorrhage in China: a cross-sectional hospital-based retrospective study. BMJ Open 2024; 14:e073977. [PMID: 38238044 PMCID: PMC10806472 DOI: 10.1136/bmjopen-2023-073977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 10/19/2023] [Indexed: 01/23/2024] Open
Abstract
OBJECTIVES This study aimed to investigate factors associated with undergoing dysphagia screening (DS) and developing pneumonia, as well as the relationship between DS and pneumonia in patients with intracerebral haemorrhage (ICH). DESIGN Our study was a cross-sectional hospital-based retrospective study. STUDY DESIGN AND SETTINGS We derived data from the China Stroke Centre Alliance, a nationwide clinical registry of ICH from 1476 participating hospitals in mainland China. To identify predictors for pneumonia, multivariable logistic regression models were used to identify patient characteristics that were independently associated with DS and pneumonia. PARTICIPANTS We included 31 546 patients in this study with patient characteristics, admission location, medical history, hospital characteristics and hospital grade from August 2015 to July 2019. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcomes were DS and pneumonia during acute hospitalisation. RESULTS In total, 25 749 (81.6%) and 7257 (23.0%) patients with ICH underwent DS and developed pneumonia. Compared with patients without pneumonia, those who developed pneumonia were older and had severe strokes (Glasgow Coma Scale 9-13: 52.7% vs 26.9%). Multivariable analyses revealed that a higher pneumonia risk was associated with dysphagia (OR, 4.34; 95% CI, 4.02 to 4.68), heart failure (OR, 1.85; 95% CI, 1.24 to 2.77) and smoking (OR, 1.12; 95% CI, 1.12 to 0.20). DS was associated with lower odds of pneumonia (OR, 0.65; 95% CI, 0.44 to 0.95). CONCLUSION Our findings further confirm that dysphagia is an independent risk factor for pneumonia; one-fifth of patients with ICH did not undergo DS. However, comprehensive dysphagia evaluation and effective management are crucial. Nursing processes ensure the collection of complete and accurate information during evaluation of patients. There is a need to increase the rate of DS in patients with ICH, especially those with severe stroke or older. Further, randomised controlled trials are warranted to determine the effectiveness of DS on clinical outcomes.
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Affiliation(s)
- Yong-Mei Deng
- Nursing Department, Beijing TianTan Hospital, Capital Medical University, Beijing, China
| | - Jin-Ju Sun
- Nursing Department, Beijing TianTan Hospital, Capital Medical University, Beijing, China
| | - Hong-Qiu Gu
- China National Clinical Research centre for Neurological Diseases, Beijing, China
| | - Kai-Xuan Yang
- China National Clinical Research centre for Neurological Diseases, Beijing, China
| | - Yong-Jun Wang
- China National Clinical Research centre for Neurological Diseases, Beijing, China
- Vascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Zi-Xiao Li
- China National Clinical Research centre for Neurological Diseases, Beijing, China
- Vascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Xing-Quan Zhao
- China National Clinical Research centre for Neurological Diseases, Beijing, China
- Vascular Neurology, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China
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Panda BK, Suryawanshi VR, Attarde G, Borkar N, Iyer S, Shah J. Correlation of Quality Metrics of Acute Stroke Care with Clinical Outcomes in an Indian Tertiary-care University Hospital: A Prospective Evidence-based Study. Indian J Crit Care Med 2023; 27:806-815. [PMID: 37936803 PMCID: PMC10626231 DOI: 10.5005/jp-journals-10071-24566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 09/25/2023] [Indexed: 11/09/2023] Open
Abstract
Aim To characterize the impact of adherence to quality metrics of stroke care on the clinical outcomes of ischemic stroke (IS) and intracerebral hemorrhage (ICH) admissions. Methods Consecutive patients with acute stroke were prospectively followed up for their demographic and clinical characteristics, acute stroke management, and associated clinical outcomes at discharge. Stroke quality metrics [adopted from the American Heart Association (AHA)/American Stroke Association's Get with The Guidelines (GWTG)] with a specific interest in an association between acute reperfusion therapies and functional recovery in stroke patients are analyzed and presented. A composite measure of care was considered "0 (non-adherence) to 1 (adherence)." An all-or-none measure of care was calculated to check whether eligible patients received all the quality-of-care interventions. Multivariate Cox regression models were used to study an association between optimal adherence and clinical outcomes. Results During the study period, of the total 256 stroke admissions, 200 (78.1%) patients had IS, and the remaining 56 (21.9%) patients had ICH. The median [interquartile range (IQR)] age of total stroke admissions was 57 (36-78) years. Male preponderance was observed (IS: 80% and ICH: 67.9%). The conformity of performance metrics in IS patients was from 69.1% [95% confidence interval (CI), 68.5-69.6] for the use of deep vein thrombosis prophylaxis (DVTp) to 97.8% (95% CI, 96.2-98.6) for the use of statins. In ICH patients, it ranged from 61.7% (95% CI, 60.4-62.5) for the use of DVTp to 89.9% (95% CI, 88.6-89.7) for stroke rehabilitation. The unadjusted odds ratio (OR) of mortality (in-hospital plus the 28th-day postdischarge) was higher in ICH patients vs IS patients (4.42, p = 0.005). Optimal adherence with intravenous recombinant tissue plasminogen activator (IV-rtPA) therapy [hazards ratio (HR) = 0.23], in-hospital acute measures [IS (HR = 0.41) and ICH (HR = 0.63)], and discharge measures [IS (HR = 0.35) and ICH (HR = 0.45)] were associated with reduced hazards of the 28th-day mortality in both cohorts. Compared to ICH, IS patients had significantly improved neurofunctional recovery [modified Rankin score (mRS) ≤ 2, p < 0.01]. Conclusion Adherence to quality metrics and performance measures was associated with low mortality and favorable clinical outcomes. Also, DVTp as an in-hospital (acute) measure of stroke care needs attention in both cerebrovascular events. How to cite this article Panda BK, Suryawanshi VR, Attarde G, Borkar N, Iyer S, Shah J. Correlation of Quality Metrics of Acute Stroke Care with Clinical Outcomes in an Indian Tertiary-care University Hospital: A Prospective Evidence-based Study. Indian J Crit Care Med 2023;27(11):806-815.
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Affiliation(s)
- Bijoy Kumar Panda
- Department of Pharmacy Practice, Krishna Institute of Pharmacy, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, Maharashtra, India
| | - Vaibhav R Suryawanshi
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Gargi Attarde
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Nilima Borkar
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Shivakumar Iyer
- Department of Critical Care Medicine, Bharati Vidyapeeth (Deemed to be University), Medical College, Pune, Maharashtra, India
| | - Jignesh Shah
- Department of Critical Care Medicine, Bharati Vidyapeeth (Deemed to be University), Medical College, Pune, Maharashtra, India
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Luo W, Luo X, Chen S, Li J, Huang X, Rao Y, Xu W. Chinese stroke patients with atrial fibrillation used Robert's age-adjusted warfarin loading protocol obtained good INR results within therapeutic range. Sci Rep 2023; 13:18230. [PMID: 37880296 PMCID: PMC10600158 DOI: 10.1038/s41598-023-45379-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/18/2023] [Indexed: 10/27/2023] Open
Abstract
To assess whether Roberts' age-adjusted warfarin loading protocol is effective in Chinese patients and whether the SAMeTT2R2 score can predict international normalized ratio (INR) control. Roberts' protocol for warfarin titration was applied to patients with non-valvular atrial fibrillation (NVAF) complicated with ischemic stroke at the Department of Neurology between 2014 and 2019. Clinical and sociodemographic variables were recorded. A minimum of 1-year follow-up was used to calculate the time in therapeutic range (TTR) of the INR. A total of 94 acute ischemic stroke patients with NVAF were included in the study. Seventy-seven (81.9%) of the patients had attained stable INR (2.0-3.0) at the fifth dose, and 90.0% of the patients had achieved stable INR on the ninth day. Seventeen (18.1%) of the patients had an INR > 4 during dose-adjustment period. Patients with INR > 4 had significantly lower body weight (53.8 vs. 63.1 kg, P = 0.014), lower rate of achievement of stable INR (35.3% vs. 92.2%, P = 0.000), and lower rate of TTR ≥ 65% (23.5% vs. 70.1%, P = 0.001), but with no significant increase in bleeding risk. A total of 89 patients underwent long-term INR follow-up, of which 58 (65.2%) patients achieved TTR ≥ 65%. Patients with poor TTR had significantly lower body weight (56.3 vs. 63.7 kg, P = 0.020) and lower rate of stable INR achievement (64.5% vs. 89.7%, P = 0.002). All 94 patients had SAMeTT2R2 score ≥ 2. There was no linear association between SAMeTT2R2 score and the rate of TTR ≥ 65% (Ptrend = 0.095). Chinese ischemic stroke patients with NVAF on warfarin can safely and quickly achieve therapeutic INR using Roberts' age-adjusted protocol and can obtain a good TTR. Lower body weight may be a predictor of poor TTR and INR > 4. Patients who have not attained stable INR after adjusting the dose five times are at high risk for poor TTR. SAMeTT2R2 score may not predict TTR in Chinese ischemic stroke patients with NVAF.
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Affiliation(s)
- Weiliang Luo
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China
| | - Xuanwen Luo
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China
| | - Suqin Chen
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China
| | - Jiming Li
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China.
| | - Xiaodong Huang
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China
| | - Yu Rao
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China
| | - Wengsheng Xu
- Department of Neurology, Huizhou Central People's Hospital, No. 41, Eling North Road, Huizhou, 516001, Guangdong, China
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Gu HQ, Wang CJ, Yang X, Zhao XQ, Wang YL, Liu LP, Jiang Y, Li H, Wang YJ, Li ZX. Clinical characteristics, in-hospital management, and outcomes of patients with in-hospital vs. community-onset ischaemic stroke: a hospital-based cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 38:100890. [PMID: 37790077 PMCID: PMC10544278 DOI: 10.1016/j.lanwpc.2023.100890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/25/2023] [Accepted: 08/15/2023] [Indexed: 10/05/2023]
Abstract
Background Lack of high-quality national-level data on in-hospital ischaemic stroke hinders the development of tailored strategies for this subgroup's identification, treatment, and management. Methods We analyzed and compared clinical characteristics, in-hospital management measures, and outcomes, including death or discharge against medical advice (DAMA), major adverse cardiovascular events (MACEs), disability at discharge, and in-hospital complications between in-hospital and community-onset ischaemic stroke enrolled in the Chinese Stroke Center Association registry from August 2015 to December 2022. Findings The cohort comprised 14,948 in-hospital and 1,366,898 community-onset ischaemic stroke patients. In-hospital ischaemic stroke exhibited greater stroke severity, higher prevalence of comorbidities, more pre-admission medications, and had suboptimal management measures, for example, the onset-to-needle time within 4.5 h (83.3% vs. 93.1%; difference, -9.8% [-11.4% to -8.3%]), and antithrombotics at discharge (78.6% vs. 90.0%; difference, -11.4% [95% CI, -12.1% to -10.7%]). After adjusting for covariates, in-hospital ischaemic stroke remains associated with higher risks of unfavorable outcomes, including in-hospital death/DAMA (13.9% vs. 8.6%; adjusted risk difference [aRD], 2.2% [95% CI, 1.8%-2.7%]; adjusted odds ratio [aOR], 1.35 [95% CI, 1.25-1.45]), MACE (12.6% vs. 6.5%; aRD, 4.1% [95% CI, 3.5%-4.7%]; aOR, 1.68 [95% CI, 1.52-1.85]), and complications (23.7% vs. 12.1%; aRD, 6.5% [95% CI, 5.1%-7.9%]; aOR, 1.72 [95% CI, 1.64-1.80]), except for disability at discharge (41.1% vs. 33.1%; aRD, 0.4% [95% CI, -1.7% to 2.5%]; aOR, 0.99 [95% CI, 0.88-1.11]). Interpretation In-hospital ischaemic stroke demonstrated more severe strokes, worse vascular risk profiles, suboptimal management measures, and worse outcomes compared to community-onset ischaemic stroke. This emphasizes the urgent need for improved hospital systems of care and targeted quality improvement initiatives for better outcomes in in-hospital ischaemic stroke. Funding National Key R&D Programme of China and Beijing Hospitals Authority.
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Affiliation(s)
- Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chun-Juan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xing-Quan Zhao
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi-Long Wang
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Li-Ping Liu
- Neuro-intensive Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong-Jun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zi-Xiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
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9
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Liu Z, Gu H, Wei M, Feng X, Yu F, Feng J, Li Z, Xia J, Yang X. Comparison between healthcare quality in primary stroke centers and comprehensive stroke centers for acute stroke patients: evidence from the Chinese Stroke Center Alliance. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 38:100863. [PMID: 37577368 PMCID: PMC10416019 DOI: 10.1016/j.lanwpc.2023.100863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/12/2023] [Accepted: 07/16/2023] [Indexed: 08/15/2023]
Abstract
Background To improve stroke care quality, the guidelines for stroke center construction in China recommended establishing primary stroke centers (PSCs) and comprehensive stroke centers (CSCs). We aimed to compare stroke care quality between the two types of centers. Methods Data were collected from acute stroke patients admitted to PSCs or CSCs in the China Stroke Center Alliance program. Twenty-one individual guideline-recommended performance measures and two summary measures were compared between the two groups. Multivariable logistic regression models were used to examine the association between stroke center status (CSC vs. PSC) and healthcare quality. Findings Data from 750,594 stroke patients from 1474 stroke centers (252 CSCs and 1222 PSCs) were analyzed. For many components of healthcare performance in stroke patients, comparable levels of performance were observed between CSCs and PCSs. Nonetheless, CSCs outperformed PSCs in the areas of administering intravenous recombinant tissue plasminogen activator within 4.5 h (aOR = 1.31 [95% CI: 1.07-1.60]), rehabilitation for acute ischaemic stroke (AIS) (aOR = 1.19 [95% CI: 1.01-1.40]), and the provision of hypoglycemic medication and statin therapy upon discharge for AIS (aOR = 1.26 [95% CI: 1.00-1.59] and aOR = 1.28 [95% CI: 1.04-1.59], respectively). More patients with intracerebral haemorrhage and subarachnoid haemorrhage received neurosurgery in CSCs (14.4% vs. 10.6% and 51.0% vs. 33.9%, respectively). Additionally, CSCs had higher in-hospital mortality than PSCs (aOR = 1.33 [95% CI: 1.01-1.73]). Interpretation Overall PSCs provided equivalent care for many quality measures to CSCs in China with the exception of thrombolysis, rehabilitation access, and medication at discharge for AIS, whereby improvements should be directed. Nevertheless, PSCs have demonstrated lower risk-adjusted in-hospital mortality rates. Funding The National Key Research and Development Projects of China.
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Affiliation(s)
- Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xianjing Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Fang Yu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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10
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Chen ZM, Gu HQ, Mo JL, Yang KX, Jiang YY, Yang X, Wang CJ, Xu J, Meng X, Jiang Y, Li H, Liu LP, Wang YL, Zhao XQ, Li ZX, Wang YJ. U-shaped association between low-density lipoprotein cholesterol levels and risk of all-cause mortality mediated by post-stroke infection in acute ischemic stroke. Sci Bull (Beijing) 2023:S2095-9273(23)00347-X. [PMID: 37270342 DOI: 10.1016/j.scib.2023.05.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 04/19/2023] [Accepted: 05/22/2023] [Indexed: 06/05/2023]
Abstract
During the acute stage of ischemic stroke, it remains unclear how to interpret the low low-density lipoprotein cholesterol (LDL-C) level. We aimed to evaluate the association between LDL-C levels, post-stroke infection, and all-cause mortality. 804,855 ischemic stroke patients were included. Associations between LDL-C levels, infection, and mortality risk were estimated by multivariate logistic regression models and displayed by restricted cubic spline curves. Mediation analysis was performed under counterfactual framework to elucidate the mediation effect of post-stroke infection. The association between LDL-C and mortality risk was U-shaped. The nadir in LDL-C level with the lowest mortality risk was 2.67 mmol/L. Compared with the group with LDL-C = 2.50-2.99 mmol/L, the multivariable-adjusted odds ratio for mortality was 2.22 (95% confidence intervals (CI): 1.77-2.79) for LDL-C <1.0 mmol/L and 1.22 (95% CI: 0.98-1.50) for LDL-C ≥5.0 mmol/L. The association between LDL-C and all-cause mortality was 38.20% (95% CI: 5.96-70.45, P = 0.020) mediated by infection. After stepwise excluding patients with increasing numbers of cardiovascular risk factors, the U-shaped association between LDL-C and all-cause mortality and the mediation effects of infection remained consistent with the primary analysis, but the LDL-C interval with the lowest mortality risk increased progressively. The mediation effects of infection were largely consistent with the primary analysis in subgroups of age ≥65 years, female, body mass index <25 kg/m2, and National Institutes of Health Stroke Scale ≥16. During the acute stage of ischemic stroke, there is a U-shaped association between LDL-C level and all-cause mortality, where post-stroke infection is an important mediating mechanism.
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Affiliation(s)
- Zi-Mo Chen
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Jing-Lin Mo
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Kai-Xuan Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Ying-Yu Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Chun-Juan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Jie Xu
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Xia Meng
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100071, China; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing 100071, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Hao Li
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100071, China; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing 100071, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Li-Ping Liu
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Yi-Long Wang
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Xing-Quan Zhao
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Zi-Xiao Li
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100071, China; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing 100071, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Yong-Jun Wang
- Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing 100071, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100071, China; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing 100071, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
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11
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Hu X, Pu M, Wang Z, Yu J, Wu X, Cheng J, Chen C, Yin H, Yang T, Zhang Z, Zhao L, Xie P, Li Q. Clinical and imaging predictors of dysphagia and swallowing ability recovery in acute ischemic stroke. Neurol Sci 2023; 44:621-629. [PMID: 36301361 DOI: 10.1007/s10072-022-06470-5] [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: 08/28/2022] [Accepted: 10/20/2022] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Dysphagia is one of the most common complications of acute ischemic stroke, and prediction of dysphagia is crucial for post-stroke treatment. We aimed to identify predictors of dysphagia and swallowing function recovery following ischemic stroke and to investigate dysphagia-associated lesion location. METHODS We prospectively enrolled patients with acute ischemic stroke confirmed on diffusion-weighted imaging. All patients received swallowing evaluation within 48 h after admission. Follow-up oral intake ability was measured on 7 and 30 days after stroke onset. Voxel-based lesion-symptom mapping was performed to determine locations associated with dysphagia. RESULTS Of 126 patients included in the final analysis, 23 patients (18.3%) were classified as initial dysphagia. The presence of facial palsy (P = 0.008) and larger white matter hyperintensity (WMH) volume (P = 0.003) was associated with initial dysphagia. Initial risk of aspiration assessed by Any2 score (P = 0.001) at baseline was identified as independent predictor for dysphagia at day 7. Patients with higher Any2 score (P < 0.001), aphasia (P = 0.013), and larger WMH volume (P = 0.010) were less likely to have a full swallowing function recovery at 1 month. Acute infarcts in right corona radiata and right superior longitudinal fasciculus were correlated with impaired recovery of swallowing ability at 1 month. CONCLUSIONS Initial risk of aspiration was identified as risk factor for short-term and long-term dysphagia. Aphasia and larger WMH volume were revealed to be significant predictors for swallowing function recovery at 1 month. Right corona radiata was identified as an essential brain area for dysphagia.
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Affiliation(s)
- Xiao Hu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Mingjun Pu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Zijie Wang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jialun Yu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaofang Wu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jing Cheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Chu Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Hao Yin
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tiannan Yang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Zhehao Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Libo Zhao
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment On Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- NHC Key Laboratory of Diagnosis and Treatment On Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
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12
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Wang CJ, Gu HQ, Zhang XM, Jiang Y, Li H, Bettger JP, Meng X, Dong KH, Wangqin RQ, Yang X, Wang M, Liu C, Liu LP, Tang BS, Li GZ, Xu YM, He ZY, Yang Y, Yip W, Fonarow GC, Schwamm LH, Xian Y, Zhao XQ, Wang YL, Wang Y, Li Z. Temporal trends and rural-urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey. Stroke Vasc Neurol 2023; 8:34-50. [PMID: 35985768 PMCID: PMC9985802 DOI: 10.1136/svn-2022-001552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 07/27/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Stroke is the leading cause of mortality in China, with limited evidence of in-hospital burden obtained from nationwide surveys. We aimed to monitor and track the temporal trends and rural-urban disparities in cerebrovascular risk factors, management and outcomes from 2005 to 2015. METHODS We used a two-stage random sampling survey to create a nationally representative sample of patients admitted for ischaemic stroke in 2005, 2010 and 2015. We sampled participating hospitals with an economic-geographical region-stratified random-sampling approach first and then obtained patients with a systematic sampling approach. We weighed our survey data to estimate the national-level results and assess changes from 2005 to 2015. RESULTS We analysed 28 277 ischaemic stroke admissions from 189 participating hospitals. From 2005 to 2015, the estimated national hospital admission rate for ischaemic stroke per 100 000 people increased (from 75.9 to 402.7, Ptrend<0.001), and the prevalence of risk factors, including hypertension, diabetes, dyslipidaemia and current smoking, increased. The composite score of diagnostic tests for stroke aetiology assessment (from 0.22 to 0.36, Ptrend<0.001) and secondary prevention treatments (from 0.46 to 0.70, Ptrend<0.001) were improved. A temporal decrease was found in discharge against medical advice (DAMA) (from 15.2% (95% CI 13.7% to 16.7%) to 8.6% (8.1% to 9.0%); adjusted Ptrend=0.046), and decreases in in-hospital mortality (0.7% in 2015 vs 1.8% in 2005; adjusted OR (aOR) 0.52; 95% CI 0.32 to 0.85) and the composite outcome of in-hospital mortality or DAMA (8.4% in 2015 vs 13.9% in 2005; aOR 0.65; 95% CI 0.47 to 0.89) were observed. Disparities between rural and urban hospitals narrowed; however, disparities persisted in in-hospital management (brain MRI: rural-urban difference from -14.4% to -11.2%; cerebrovascular assessment: from -20.3% to -16.7%; clopidogrel: from -2.1% to -10.3%; anticoagulant for atrial fibrillation: from -10.9% to -8.2%) and in-hospital outcomes (DAMA: from 2.7% to 5.0%; composite outcome of in-hospital mortality or DAMA: from 2.4% to 4.6%). CONCLUSIONS From 2005 to 2015, improvements in hospital admission and in-hospital management for ischaemic stroke in China were found. A temporal improvement in DAMA and improvements in in-hospital mortality and the composite outcome of in-hospital mortality or DAMA were observed. Disparities between rural and urban hospitals generally narrowed but persisted.
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Affiliation(s)
- Chun-Juan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijng, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xin-Miao Zhang
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Janet Prvu Bettger
- Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ke-Hui Dong
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China
| | - Run-Qi Wangqin
- Department of Neurology, Duke Univeristy Medical Center, Durham, North Carolina, USA
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Meng Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chelsea Liu
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Li-Ping Liu
- Neuro-intensive Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Bei-Sha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guo-Zhong Li
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yu-Ming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.,Key Laboratory of Cerebrovascular Disease Prevention and Treatment, National Health Commission (Province and Ministry Co-constructed), Zhengzhou, Henan, China
| | - Zhi-Yi He
- Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yi Yang
- Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Winnie Yip
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan-UCLA Medical Center, Los Angeles, CA, USA
| | - Lee H Schwamm
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ying Xian
- Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Xing-Quan Zhao
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijng, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Yi-Long Wang
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijng, China
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijng, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beiing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
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Lu P, Cao Z, Gu H, Li Z, Wang Y, Cui L, Wang Y, Zhao X. Association of sex and age with in-hospital mortality and complications of patients with intracerebral hemorrhage: A study from the Chinese Stroke Center Alliance. Brain Behav 2023; 13:e2846. [PMID: 36495127 PMCID: PMC9847591 DOI: 10.1002/brb3.2846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 11/06/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND AND PURPOSE The impact of sex and age on prognosis in patients with intracerebral hemorrhage (ICH) in the Chinese population remains unclear. Our study aimed to investigate the relationship between sex and age of Chinese ICH patients and adverse prognosis. METHODS We used the Chinese Stroke Center Alliance database with in-hospital mortality as the primary outcome and hospital complications as the secondary outcome. Patients were divided into four groups by sex and age. Logistic regression analyses were performed to assess the association between sex and age and the prognosis of ICH patients. RESULTS We enrolled 60,911 ICH patients, including 22,284 young and middle-aged males, 15,651 older males, 11,948 young and middle-aged females, and 11,028 older females. After adjusting for variables, older male patients had a higher mortality rate (OR = 1.21, 95% CI 1.01-1.45), combined with more frequent hematoma expansion (OR = 1.14, 95% CI 1.03-1.26), pneumonia (OR = 1.91, 95% CI 1.81-2.03), and hydrocephalus (OR = 1.28, 95% CI 1.04-1.59). Young and middle-aged female patients had a lower mortality rate (OR = 0.74, 95% CI 0.58-0.95) and less frequent combined pneumonia (OR = 0.81, 95% CI 0.75-0.87). In-hospital mortality was not significantly different in older females compared with young and middle-aged males, but the odds of deep vein thrombosis, swallowing disorders, urinary tract infections, and gastrointestinal bleeding were significantly higher. CONCLUSION Among young and middle-aged patients, females are related to a lower in-hospital mortality rate from ICH. Older patients are at an increased risk of ICH complications, with higher in-hospital mortality in older men.
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Affiliation(s)
- Ping Lu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Zhentang Cao
- Department of Neurology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People's Republic of China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People's Republic of China
| | - Yu Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Lingyun Cui
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People's Republic of China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People's Republic of China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
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14
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Li Z, Hu Q, Ji W, Fan Q. Prevalence of stroke and associated risk factors: a population-based cross-sectional study from the Qinghai-Tibet Plateau of China. BMJ Open 2022; 12:e065605. [PMID: 36414281 PMCID: PMC9685268 DOI: 10.1136/bmjopen-2022-065605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The epidemiology of stroke at high altitudes has not been extensively studied, especially at heights of 4000 m and above. Thus, stroke prevention and treatment at high altitudes are challenging. We conducted a cross-sectional study to estimate the prevalence of stroke, the detection rate of individuals at high risk of stroke and the risk factors for stroke in the Qinghai-Tibet Plateau in China, a high altitude plateau that inhabits approximately 15 million people. DESIGN A population-based cross-sectional study in the Qinghai-Tibet Plateau. SETTING Data were collected from participants through face-to-face screening using a primary screening table. The table relied on the China National Stroke Screening and Prevention Project. PARTICIPANTS A total of 10 700 residents aged ≥40 years and living on the Qinghai-Tibet Plateau for more than 6 months participated from January 2019 to December 2021. MAIN OUTCOME MEASURES The primary screening table included basic demographic information, medical history information, personal lifestyle habits and physical examination information. RESULTS A total of 10 056 people were included in the analysis. The prevalence of stroke was 2.3% (95% CI 2.0% to 2.6%), and the detection rate of individuals at high risk of stroke was 26.2% (95% CI 25.3% to 27.0%). The prevalence of stroke and the detection rate of individuals at high risk of stroke increased with altitude (p<0.01), and the prevalence of stroke at high altitudes was almost 2.2 times that at mid-altitudes (p<0.01). After full adjustments, age, residence, hypertension, family history of stroke and smoking were significantly associated with stroke (p<0.05). CONCLUSIONS The prevalence of stroke, the related risk factors and the detection rate of high-risk individuals were clarified. The prevalence rates of hypertension, overweight or obesity and diabetes in the Qinghai-Tibet Plateau were all higher than the Chinese average. Higher-altitude exposure may be an independent risk factor for stroke.
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Affiliation(s)
| | - QuanZhong Hu
- Qinghai Provincial People's Hospital, Xining, China
| | - WeiZhong Ji
- Qinghai Provincial People's Hospital, Xining, China
| | - QingLi Fan
- Qinghai Provincial People's Hospital, Xining, China
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15
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Altered Effective Connectivity of the Primary Motor Cortex in Transient Ischemic Attack. Neural Plast 2022; 2022:2219993. [PMID: 36437903 PMCID: PMC9699783 DOI: 10.1155/2022/2219993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/02/2022] [Accepted: 09/19/2022] [Indexed: 11/19/2022] Open
Abstract
Objective This study is aimed at exploring alteration in motor-related effective connectivity in individuals with transient ischemic attack (TIA). Methods A total of 48 individuals with TIA and 41 age-matched and sex-matched healthy controls (HCs) were recruited for this study. The participants were scanned using MRI, and their clinical characteristics were collected. To investigate motor-related effective connectivity differences between individuals with TIA and HCs, the bilateral primary motor cortex (M1) was used as the regions of interest (ROIs) to perform a whole-brain Granger causality analysis (GCA). Furthermore, partial correlation was used to evaluate the relationship between GCA values and the clinical characteristics of individuals with TIA. Results Compared with HCs, individuals with TIA demonstrated alterations in the effective connectivity between M1 and widely distributed brain regions involved in motor, visual, auditory, and sensory integration. In addition, GCA values were significantly correlated with high- and low-density lipoprotein cholesterols in individuals with TIA. Conclusion This study provides important evidence for the alteration of motor-related effective connectivity in TIA, which reflects the abnormal information flow between different brain regions. This could help further elucidate the pathological mechanisms of motor impairment in individuals with TIA and provide a new perspective for future early diagnosis and intervention for TIA.
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16
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Fu W, Tang Y, Che X, Tan J, Ma Y, He Z. Neuropharmacological efficacy of metformin for stroke in rodents: A meta-analysis of preclinical trials. Front Pharmacol 2022; 13:1009169. [PMID: 36408248 PMCID: PMC9669075 DOI: 10.3389/fphar.2022.1009169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/18/2022] [Indexed: 09/28/2023] Open
Abstract
Background: Stroke, including ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage (SAH), remains a leading cause of mortality globally. Different stroke subtypes have similar detrimental effects in multiple fields of health. Previous research has shown that metformin plays a neuroprotective role in experimental animal models of stroke; however, a preclinical quantitative analysis on the ability of metformin to treat stroke is still lacking. This meta-analysis evaluates the efficacy of metformin in improving stroke prognosis in rodent models of stroke. Methods: Relevant preclinical trials were retrieved from PubMed, EMBASE, and the Web of Science. The neurological score (NS), brain water content (BWC), infarct size, rotarod test, TUNEL, neuron quantity, microglia quantity, and p-AMPK levels were compared between a control group and a metformin group using the standardized mean difference (SMD) and corresponding confidence interval (CI). Quality was assessed with SYRCLE's risk of bias tool. Results: Fifteen articles published from 2010 to 2022 were included in the meta-analysis. The metformin group had statistically significant differences compared to the control group in the following aspects: NS (SMD -1.45; 95% CI -2.32, -0.58; p = 0.001), BWC (SMD -3.22; 95% CI -4.69, -1.76; p < 0.0001), infarct size (SMD -2.90; 95% CI -3.95, -1.85; p < 0.00001), rotarod test (SMD 2.55; 95% CI 1.87, 3.23; p < 0.00001), TUNEL (SMD -3.63; 95% CI -5.77, -1.48; p = 0.0009), neuron quantity (SMD 3.42; 95% CI 2.51, 4.34; p < 0.00001), microglia quantity (SMD -3.06; 95% CI -4.69, -1.44; p = 0.0002), and p-AMPK levels (SMD 2.92; 95% CI 2.02, 3.82; p < 0.00001). Furthermore, sensitivity analysis and stratified analysis were conducted for heterogeneous outcome indicators. Conclusion: Overall, metformin treatment improves severe outcomes triggered by stroke. Despite the limitations intrinsic to animal studies, this systematic review may provide a vital reference for future high-quality preclinical trials and clinical use.
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Affiliation(s)
- Wenqiao Fu
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yin Tang
- Department of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xudong Che
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiahe Tan
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yinrui Ma
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhaohui He
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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17
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Dong X, Feng L, Li T, Song Y, Li L, Wu S, Zhang C, Gao Y. Vital real-world experience regarding Naoshuantong capsules for unselected ischemic stroke (VENUS): Rationale, design, and baseline of a prospective, multicenter, observational study. Front Pharmacol 2022; 13:933258. [PMID: 36278169 PMCID: PMC9579274 DOI: 10.3389/fphar.2022.933258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Naoshuantong capsules (NC) are commonly used for the treatment of ischemic stroke. Experimental research and small-sample clinical trials have demonstrated that NC is effective in improving neurological recovery. Yet, there is a substantial lack of high-quality evidence on the precision treatment population of NC and long-term safety when making real-world clinical decisions. The acquisition of prospective longitudinal data in the real-world setting is essential to fully characterize the effectiveness and safety profile of NC for patients with ischemic stroke. Methods: The Vital real-world Experience regarding Naoshuantong capsules for Unselected ischemic Stroke (VENUS) registry is a prospective, multicenter, observational study aiming to register 5,000 patients. Eligible adult patients diagnosed with ischemic stroke and newly treated with NC within 30 days of symptom onset will be consecutively registered from 84 participating sites across the Chinese mainland. Baseline data will be recorded at the patient registry, and all patients will be regularly followed up at 2, 4, 8, and 12 weeks after the initial patient registry, and 180 days after ischemic stroke onset. The primary outcome is the distribution of scores on the modified Rankin Scale at 12 weeks after initial patient registry. Adverse events will be recorded during the study for NC safety assessment. Results: A total of 4,185 patients with ischemic stroke were enrolled, among which 37.06% patients were female. The average age of all patients was 65.22 years. The proportion of patients whose course of ischemic stroke was less than 14 days accounted for 93.45%. Conclusion: The VENUS registry is designed to comprehensively document medical data regarding NC treatment for ischemic stroke in real-world settings. The findings of this study will provide valuable insights into the clinical management of patients with ischemic stroke and the subsequent outcomes of the use of NC when included in the best clinical practice. Study registration: This study was registered with the Chinese Clinical Trial Registry (URL: http://www.chictr.org.cn/index.aspx, Unique identifier: ChiCTR1900025053).
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Affiliation(s)
- Xinglu Dong
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Luda Feng
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Tingting Li
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Yuebo Song
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Lei Li
- Chinese-Western Medicine Research and Development Working Committee, China Association of Traditional Chinese Medicine, Beijing, China
| | - Shengxian Wu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Office of State Drug Clinical Trial Institution, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chi Zhang
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Ying Gao, ; Chi Zhang,
| | - Ying Gao
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Ying Gao, ; Chi Zhang,
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18
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Weng JX, Gu HQ, Wang S, Yang KX, Yang X, Wang CJ, Meng X, Zhao XQ, Wang YJ, Li ZX. External validation of ABCD series scores for predicting early stroke events following transient ischemic attack in a large nationwide registry. Eur Stroke J 2022; 7:439-446. [DOI: 10.1177/23969873221113145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/23/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction: In the context of modern guideline-based strategies, new validations of prognostic scores for predicting early stroke risk are needed. We aimed to compare the validity of the ABCD series scores and assess the incremental values of risk components for predicting in-hospital stroke events in patients with transient ischemic attack (TIA). Patients and methods: We abstracted data from the Chinese Stroke Center Alliance (CSCA), a nationwide registry with 68,433 TIA patients admitted within 7 days of symptom onset from 1476 hospitals. TIA was defined by time-based criteria according to the World Health Organization (WHO). The discrimination of ABCD, ABCD2, ABCD2-I, and ABCD3 scores for predicting in-hospital stroke events was assessed by the area under the receiver-operating characteristics curves (AUC). The incremental predictive values of added risk predictor were determined by net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Results: A total of 29,286 TIA patients were included, of whom 1466 (5.0%) had in-hospital stroke events. Compared with ABCD2-I score (AUC 0.79, 95% confidence interval [CI] 0.77–0.80), ABCD (AUC 0.58, 95% CI 0.57–0.60), ABCD2 (AUC 0.58, 95% CI 0.56–0.59), and ABCD3 (AUC 0.58, 95% CI 0.56–0.60) had lower predictive utility. An incremental value was observed when adding infarction on DWI (IDI = 0.0597, NRI = 1.1036) into ABCD2 score to be ABCD2-I. Conclusion: The traditional scales utilizing medical history (ABCD, ABCD2, and ABCD3 scores) show fair ability for predicting in-hospital stroke events after TIA, but the ABCD2-I score, which adds infarction on DWI, improves the predictive ability.
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Affiliation(s)
- Jia-Xu Weng
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shang Wang
- Neurocardiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Kai-Xuan Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chun-Juan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xing-Quan Zhao
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center for Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Yong-Jun Wang
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center for Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Zi-Xiao Li
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center for Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
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19
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Yang C, Pan Y. Risk factors of dysphagia in patients with ischemic stroke: A meta-analysis and systematic review. PLoS One 2022; 17:e0270096. [PMID: 35709228 PMCID: PMC9202855 DOI: 10.1371/journal.pone.0270096] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/04/2022] [Indexed: 11/30/2022] Open
Abstract
Background Dysphagia is a common yet serious complication in stroke patients. We aimed to conduct a meta-analysis and systematic review to evaluate the risk factors of dysphagia in patients with ischemic stroke, to provide insights to the clinical treatment and nursing care of dysphagia. Methods We searched PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI) and Wanfang Database, China Biomedical Literature Database (CBM) for studies on dysphagia in patients with ischemic stroke up to January 31, 2022. The quality of the literature was evaluated using the Newcastle-Ottawa scale. Meta-analysis was performed using RevMan 5.3 software. Results A total of 10 studies involving 4637 ischemic stroke patients were included, 1183(25.51%) patients had dysphagia after stroke. The synthesized outcomes showed that elder age (SMD = 0.42, 95%CI:0.34–0.50), hypertension (OR = 1.96, 95%CI:1.48–2.61), diabetes (OR = 1.83, 95%CI:1.47–2.28), brainstem stroke (OR = 2.12, 95%CI:1.45–3.09) were associated with dysphagia in patients with ischemic stroke (all P<0.05). There was no significant difference in the gender between dysphagia and no dysphagia patients (OR = 1.07, 95%CI:0.91–1.27, P = 0.40). Egger regression tests indicated there were no significant publication biases in the synthesized outcomes (all P>0.05). Conclusions Elder age, hypertension, diabetes and brainstem stroke are associated with the development of dysphagia in patients with ischemic stroke. Attention should be paid to the assessment and early intervention of those risk factors for dysphagia to improve the prognosis of stroke patients.
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Affiliation(s)
- Cui Yang
- Department of Neurology, The First People's Hospital of Lianyungang, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Jiangsu, China
| | - Yun Pan
- Division of Rheumatology, The First People's Hospital of Lianyungang, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Jiangsu, China
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20
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Li G, Wang S, Xiong Y, Gu H, Yang K, Yang X, Wang C, Wang C, Li Z, Zhao X. Prior statin and short-term outcomes of primary intracerebral hemorrhage: From a large-scale nationwide longitudinal registry. CNS Neurosci Ther 2022; 28:1240-1248. [PMID: 35603937 PMCID: PMC9253784 DOI: 10.1111/cns.13868] [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: 12/11/2021] [Revised: 04/28/2022] [Accepted: 04/30/2022] [Indexed: 12/16/2022] Open
Abstract
Introduction The relationship between statins and intracerebral hemorrhage outcomes is unclear. Aim We aimed to compare the in‐hospital mortality and evacuation of intracranial hematoma rates in patients with primary intracerebral hemorrhage between prior statin users and nonusers. Results The final study population included 66,263 patients. Multivariable logistics analyses showed that prior statin use was not associated with in‐hospital mortality for primary intracerebral hemorrhage (adjusted odd ratio 0.78, 95% CI 0.61–1.01), but reduced the proportion of patients undergoing evacuation of intracranial hematoma (adjusted odd ratio 0.70, 95% CI 0.61–0.82). Propensity score matching analyses yielded similar results. Conclusion Prior statin use was not associated with in‐hospital mortality but did reduce evacuation of intracranial hematoma rates.
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Affiliation(s)
- Guangshuo Li
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shang Wang
- Neurocardiology Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Xiong
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Chinese Institute of Brain Research, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Kaixuan Yang
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Chunjuan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
| | - Chuanying Wang
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zixiao Li
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Chinese Institute of Brain Research, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Center for Stroke, Beijing Institute for Brain Disorders, Beijing, China
| | - Xingquan Zhao
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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21
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Prevalence and In-hospital outcomes of diabetes among acute ischemic stroke patients in china: results from the Chinese Stroke Center Alliance. J Neurol 2022; 269:4772-4782. [PMID: 35511281 PMCID: PMC9363385 DOI: 10.1007/s00415-022-11112-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 03/27/2022] [Accepted: 03/28/2022] [Indexed: 12/15/2022]
Abstract
Background Patients with ischemic stroke and diabetes are classified as extreme risk for secondary prevention, with much attention and specific management. However, the up-to-date information regarding the burden of diabetes in acute ischemic stroke (AIS) patients is lacking in China, and evidence for an association between diabetes and in-hospital outcomes after AIS remains controversial. Methods This quality improvement study was conducted at 1,476 participating hospitals in the Chinese Stroke Center Alliance between 2015 and 2019. Prevalence of diabetes was evaluated in the overall study population and different subgroups. The association between diabetes and in-hospital outcomes in AIS patients was analyzed by using multivariable logistic regression analysis and propensity score-matched analysis. Results Of 838,229 patients with AIS, 286,252 (34.2%) had diabetes/possible diabetes. The prevalence of diabetes/possible diabetes was higher in women than in men (37.6% versus 32.1%). Patients with diabetes/possible diabetes had higher rates of adverse in-hospital outcomes than those without. Multivariable analysis revealed a significant association between diabetes/possible diabetes and adverse in-hospital outcomes (all-cause mortality: odds ratio [OR], 1.30 [95% confidence interval [CI], 1.23–1.38]; major adverse cardiovascular events (MACEs): OR, 1.08 [95% CI, 1.06–1.10]) in AIS patients. The excess risk of in-hospital outcomes still remained in AIS patients with diabetes/possible diabetes after propensity score-matching analysis (all-cause mortality: OR, 1.26 [95% CI, 1.17–1.35]; MACEs: OR, 1.07 [95% CI, 1.05–1.10]). Conclusion Diabetes was highly prevalent among AIS patients in China and associated with worse in-hospital outcomes. Greater efforts to increase targeted approach to secondary prevention treatments of diabetes in AIS patients are warranted. Supplementary Information The online version contains supplementary material available at 10.1007/s00415-022-11112-z.
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22
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Wang YJ, Li ZX, Gu HQ, Zhai Y, Zhou Q, Jiang Y, Zhao XQ, Wang YL, Yang X, Wang CJ, Meng X, Li H, Liu LP, Jing J, Wu J, Xu AD, Dong Q, Wang D, Wang WZ, Ma XD, Zhao JZ. China Stroke Statistics: an update on the 2019 report from the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations. Stroke Vasc Neurol 2022; 7:415-450. [PMID: 35443985 PMCID: PMC9614174 DOI: 10.1136/svn-2021-001374] [Citation(s) in RCA: 106] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 02/05/2022] [Indexed: 12/25/2022] Open
Abstract
China faces the greatest challenge from stroke in the world. According to results from the Global Burden of Disease Study 2019, there were 3.94 million new stroke cases, 28.76 million prevalent cases and 2.19 million deaths due to stroke in China in 2019. Furthermore, stroke is also the leading cause of disability-adjusted life-year (DALY) in China, the number of DALYs reached 45.9 million in 2019. Several recent large-scale epidemiological surveys have updated the data on pre-existing conditions contributed to stroke. The age-adjusted prevalence of overweight among Chinese adults aged 18–69 years was 34.4%, and the prevalence of obesity was 16.8% in 2018. 50.9% of Chinese adults ≥18 years of age without history of hypertension had prehypertension in 2018. The weighted prevalence of hypertension in adults was 27.5% in 2018. The weighted prevalence of total diabetes and pre-diabetes diagnosed by the American Diabetes Association criteria were 12.8% and 35.2%, respectively, among Chinese adults ≥18 years of age in 2017. The weighted atrial fibrillation prevalence was 1.8% among Chinese adults ≥45 years of age and equates to being present in an estimated 7.9 million people in China. Data from 1672 tertiary public hospitals in the Hospital Quality Monitoring System (HQMS) showed that 3 411 168 stroke cases were admitted during 2019. Of those, 2 818 875 (82.6%) were ischaemic strokes (ISs), 485 474 (14.2%) were intracerebral haemorrhages (ICHs), 106 819 (3.1%) were subarachnoid haemorrhages (SAHs). The average age was 66 years old, and 59.6% were male. A total of 1379 (<0.1%), 2604 (0.5%), 1250 (1.2%) paediatric strokes (age <18 years) were identified among IS, ICH and SAH, respectively. Over one-third (1 231 519 (36.1%)) of the stroke cases were covered by urban resident basic medical insurance, followed by urban employee basic medical insurance (891 103 (26.1%)) and new rural cooperative medical schema (543 108 (15.9%)). The leading risk factor was hypertension (57.3% for IS, 69.9% for ICH and 44.1% for SAH), and the leading comorbidity was pneumonia or pulmonary infection (10.4% for IS, 34.6% for ICH and 29.7% for SAH). In-hospital death/discharge against medical advice rate was 8.5%, ranging from 6.0% for IS to 20.6% for SAH. The median and IQR of length of stay was 9.0 (6.0–13.0) days, ranging from 10.0 (7.0–13.0) in IS to 14.0 (8.0–22.0) in ICH. Similar data from 2847 secondary public hospitals or private hospitals in the HQMS were also reported. Data from HQMS showed that higher proportions of interprovincial admission to other provinces were seen in Inner Mongolia, Anhui, Tibet and Beijing. Higher proportions of interprovincial admission from other provinces were seen in Beijng, Tianjin, Shanghai and Ningxia. Data from 323 601 strokes from 1337 hospitals in the Chinese Stroke Center Alliance during 2019 demonstrated that the composite scores of guideline-recommended key performance indicators for patients with IS, ICH and SAH were 0.78±0.20, 0.69±0.27 and 0.60±0.31, respectively.
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Affiliation(s)
- Yong-Jun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zi-Xiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Zhai
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qi Zhou
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xing-Quan Zhao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi-Long Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chun-Juan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Li-Ping Liu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Jing
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Wu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - An-Ding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - David Wang
- Neurovascular Division, Department of Neurology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Wen-Zhi Wang
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xu-Dong Ma
- Bureau of Medical Administration, National Health Commission of the People's Republic of China, Beijing, China
| | - Ji-Zong Zhao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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23
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Bravata DM, Purvis T, Kilkenny MF. Advances in Stroke: Quality Improvement. Stroke 2022; 53:1767-1771. [DOI: 10.1161/strokeaha.122.037450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Dawn M. Bravata
- Health Services Research and Development Center for Health Information and Communication, Department of Veterans Affairs and Medicine Service, Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.)
- Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Health Services Research and Development, Department of Veterans Affairs (VA), Indianapolis, IN (D.M.B.)
- Departments of Medicine and Neurology, Indiana University School of Medicine, Indianapolis (D.M.B.)
- William M. Tierney Center for Health Services Research, Regenstrief Institute, Indianapolis, IN (D.M.B.)
| | - Tara Purvis
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (T.P., M.F.K.)
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (T.P., M.F.K.)
| | - Monique F. Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (T.P., M.F.K.)
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (T.P., M.F.K.)
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24
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Zhang G, Li Z, Gu H, Zhang R, Meng X, Li H, Wang Y, Zhao X, Wang Y, Liu G. Dysphagia Management and Outcomes in Elderly Stroke Patients with Malnutrition Risk: Results from Chinese Stroke Center Alliance. Clin Interv Aging 2022; 17:295-308. [PMID: 35321149 PMCID: PMC8937314 DOI: 10.2147/cia.s346824] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 02/28/2022] [Indexed: 01/02/2023] Open
Abstract
Purpose To investigate the effectiveness of dysphagia screening and subsequent swallowing rehabilitation in elderly stroke patients with malnutrition risk. Patients and Methods Based on the Chinese Stroke Center Alliance (CSCA) from August 1, 2015 to July 21, 2019, we compared the in-hospital adverse outcomes among stroke patients (including ischemic stroke, intracranial hemorrhage, and subarachnoid hemorrhage) over 70 years old with and without dysphagia screening. The primary outcome was in-hospital all-cause mortality. Secondary outcomes were the composite endpoint of discharge against medical advice (DAMA) or in-hospital death. Results Among 365,530 stroke patients ≥ 70 years old with malnutrition risk in the CSCA, documented dysphagia screening was performed for 288,764 (79.0%) participants. Of these, 41,482 (14.37%) patients had dysphagia, and 33,548 (80.87%) patients received swallowing rehabilitation. A total of 1,694 (0.46%) patients experienced in-hospital death. After adjustment for traditional risk factors, dysphagia screening was associated with a low risk of all-cause mortality in stroke patients [adjusted odds ratio (aOR): 0.75, 95% confidence interval (CI):0.65–0.87]. Compared to patients with dysphagia who did not receive swallowing rehabilitation, patients reveiving swallowing rehabilitation had a reduced risk of in-hospital death (aOR:0.39, 95% CI: 0.33–0.46). Additionally, dysphagia screening had a lower risk for the composite endpoint of DAMA or in-hospital death (aOR:0.83,95% CI: 0.80–0.87), as did subsequent swallowing rehabilitation (aOR:0.43,95% CI: 0.40–0.47). Similar results were observed in the sensitivity analysis through inverse probability of treatment weighting, propensity score matching, and excluding patients without National Institutes of Health Stroke Scale scores. A similar association was observed between dysphagia management and adverse clinical outcomes in ischemic stroke and intracranial hemorrhage patients. Conclusion Dysphagia screening and swallowing rehabilitation were associated with a reduced risk of in-hospital death and composite outcome of DAMA or in-hospital death for stroke patients with malnutrition risk. Future research should concentrate on improving the quality of medical care for dysphagia management to improve patients’ outcomes.
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Affiliation(s)
- Guitao Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Hongqiu Gu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, 2019RU018, People’s Republic of China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- Correspondence: Yongjun Wang; Gaifen Liu, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People’s Republic of China, Tel +86 10-59978350; +86 10-59976746, Email ;
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
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25
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Li Z, Li Z, Zhou Q, Gu H, Wang Y, Zhao X. Effects of estimated glomerular filtration rate on clinical outcomes in patients with intracerebral hemorrhage. BMC Neurol 2022; 22:19. [PMID: 35012476 PMCID: PMC8744334 DOI: 10.1186/s12883-022-02551-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 12/30/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The influence of chronic kidney disease (CKD) on the severity and prognosis of spontaneous intracerebral hemorrhage (ICH) has been scarcely investigated. We aimed to explore the association of admission estimated glomerular filtration rate (eGFR) levels with hemorrhagic stroke severity and outcomes in ICH patients. MATERIALS AND METHODS The patients enrolled in this study were from the China Stroke Center Alliance study (CSCA). Patients were divided into four groups according to differences in eGFR at admission (≥90; 60-89; 45-59; < 45). Multivariable logistic regression analysis was used to determine the association of the eGFR at admission with hemorrhagic stroke severity, in-hospital complications, discharge disposition, and in-hospital mortality after ICH. RESULTS A total of 85,167 patients with acute ICH were included in the analysis. Among them, 9493 (11.1%) had a baseline eGFR<60 ml/min/1.73 m2. A low eGFR was associated with an increased risk of in-hospital mortality [eGFR 60-89 ml/min/1.73 m2, odds ratio (OR) 1.36 (95% confidence interval (CI) 1.21-1.53); eGFR 45-59, 2.35 (1.97-2.82); eGFR<45, 4.18 (3.7-4.72); P for trend < 0.0001], non-routine discharge [eGFR 60-89, 1.11 (1.03-1.2); eGFR 45-59, 1.16 (1-1.35); eGFR<45, 1.37 (1.23-1.53); P for trend < 0.0001], hemorrhagic stroke severity [eGFR 60-89, 1 (0.95-1.05); eGFR 45-59, 1.39 (1.26-1.53); eGFR<45, 1.81 (1.67-1.96); P for trend < 0.0001], in-hospital complications of pneumonia [eGFR 60-89, 1.1 (1.05-1.14); eGFR 45-59, 1.3 (1.2-1.4); eGFR<45, 1.66 (1.57-1.76); P for trend < 0.0001] and hydrocephalus [eGFR 60-89, 0.99 (0.87-1.12); eGFR 45-59, 1.37 (1.1-1.7); eGFR<45, 1.54 (1.32-1.8); P for trend = 0.0139] after adjusting for confounding factors. With the decline in eGFR, the risk of hematoma evacuation increased in patients with an eGFR 45 to 59 ml/min/1.73 m2 (OR 1.48; 95% CI 1.37-1.61). No significant association between differences in eGFR at baseline and in-hospital complication of recurrent intracerebral hemorrhage was observed. CONCLUSIONS Low eGFR at baseline was associated with an increased risk of in-hospital mortality, non-routine discharge, hemorrhagic stroke severity and in-hospital complications such as pneumonia, hydrocephalus and hematoma evacuation in acute ICH patients.
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Affiliation(s)
- Zhaoxia 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
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Zhou
- 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
| | - Hongqiu Gu
- 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
| | - 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
- 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.
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.
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26
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Sun H, Li S, Xu Z, Liu C, Gong P, Deng Q, Yan F. SNHG15 is a negative regulator of inflammation by mediating TRAF2 ubiquitination in stroke-induced immunosuppression. J Neuroinflammation 2022; 19:1. [PMID: 34980176 PMCID: PMC8722265 DOI: 10.1186/s12974-021-02372-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/22/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Abnormal expression of long noncoding RNAs (lncRNAs) has been reported in the acute stage of acute ischemic stroke (AIS). This study aimed to explore differential lncRNA expression in the subpopulations of peripheral blood mononuclear cells (PBMCs) from AIS patients and further evaluate its underlying mechanisms in stroke-induced immunosuppression. METHODS We reanalyzed lncRNA microarray data and investigated abnormally expressed lncRNAs in the subpopulations of PBMCs by magnetic cell sorting and real-time quantitative PCR. The potential mechanism of small nucleolar RNA host gene 15 (SNHG15) was explored through in vitro and in vivo approaches. RESULTS The stroke-induced SNHG15 acted as a checkpoint to inhibit peripheral inflammatory responses. Functional studies showed that SNHG15 promoted M2 macrophage polarization. Mechanistically, SNHG15 expression was dysregulated through the Janus kinase (JAK)-signal transducer and activator of transcription 6 (STAT6) signaling pathway. SNHG15, localized in the cytoplasm, interfered with K63-linked ubiquitination of tumor necrosis factor receptor-associated factor 2 and thereby repressed the activation of mitogen-activated protein kinase and nuclear factor kappa-B signaling pathways and prevented the production of proinflammatory cytokines. Administration of an adenovirus targeting SNHG15 improved stroke-induced immunosuppression in mice. CONCLUSIONS This study identified SNHG15 as a negative regulator of inflammation in stroke-induced immunosuppression, suggesting it as a novel biomarker and therapeutic target in stroke-associated infection. Trial registration ClinicalTrials.gov NCT04175691. Registered November 25, 2019, https://www.clinicaltrials.gov/ct2/show/NCT04175691 .
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Affiliation(s)
- Huiling Sun
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, People's Republic of China
| | - Shuo Li
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, No. 87 Dingjiaqiao Road, Nanjing, 210009, People's Republic of China
| | - Zhaohan Xu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, People's Republic of China
| | - Chengfang Liu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, People's Republic of China
| | - Pengyu Gong
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, People's Republic of China
| | - Qiwen Deng
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, People's Republic of China.
| | - Fuling Yan
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, No. 87 Dingjiaqiao Road, Nanjing, 210009, People's Republic of China.
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27
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Gu HQ, Wang CJ, Yang X, Liu C, Wang X, Zhao XQ, Wang YL, Liu LP, Meng X, Jiang Y, Li H, Wang YJ, Li ZX. Sex differences in vascular risk factors, in-hospital management, and outcomes of patients with acute ischemic stroke in China. Eur J Neurol 2021; 29:188-198. [PMID: 34564908 DOI: 10.1111/ene.15124] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/19/2021] [Accepted: 09/21/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Previous assessments of sex differences for patients with acute ischemic stroke were limited in a specific region or population, narrow scope, or small sample size. METHODS Patients with acute ischemic stroke hospitalized in the China Stroke Center Alliance hospitals were analyzed. Absolute standardized differences (ASDs) were used to assess sex differences in vascular risk factors, guideline-recommended in-hospital management measures and outcomes, including stroke severity (National Institutes of Health Stroke Scale≥16), death/discharge against medical advice, major adverse cardiovascular events, pneumonia, and disability (modified Rankin Scale≥3). RESULTS Of 838,229 patients analyzed, 524351 (62.6%) were men and 313,878 (37.4%) were women. Compared with men, women were older (68.6 vs. 64.7 years), had higher prevalence of hypertension (67.7% vs. 62.4%), diabetes (24.7% vs. 19.5%), and atrial fibrillation (7.1% vs. 4.3%), but lower prevalence of smoking (4.5% vs. 56.6%) and drinking (2.6% vs 35.8%) (ASDs >10%). No sex differences were seen in guideline-directed management measures, indicated by risk-adjusted individual measures and the all-or-null summary measure (34.5% vs 34.9%, ASD = 1.0%). Compared to men, women tended to have strokes that were more severe at presentation (6.5% vs. 4.5%, ASD = 8.8%) and more disabilities at discharge (34.9% vs 30.5%, ASD =9.4%). However, all sex-related differences in outcomes were attenuated to null after risk adjustments (ASDs<2%). CONCLUSIONS Compared to male patients, female patients had more vascular risk factors and received similar in-hospital care. They had strokes that were more severe at presentation and more disabilities at discharge, both of which may be explained by worse vascular risk profiles.
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Affiliation(s)
- Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chun-Juan Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xin Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chelsea Liu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xia Wang
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Xing-Quan Zhao
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi-Long Wang
- Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Li-Ping Liu
- Neuro-intensive Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong-Jun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zi-Xiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
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28
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Data Errors and a Wording Error. JAMA Netw Open 2021; 4:e2129006. [PMID: 34477858 PMCID: PMC8417756 DOI: 10.1001/jamanetworkopen.2021.29006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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