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Yang J, Wu S, Liu Y, Jiang J, Chen S, Zhang B, Li W, Zhang Q. Gender disparities in all-cause mortality among individuals with early-onset cardiovascular diseases. BMC Public Health 2024; 24:1450. [PMID: 38816785 PMCID: PMC11140924 DOI: 10.1186/s12889-024-18908-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/21/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND AND OBJECTIVE Gender disparities in mortality among individuals with early-onset cardiovascular disease (CVD) remain uncertain. This study aimed to investigate gender differences in all-cause mortality and identify influencing factors. METHODS Data extracted from the Kailuan Study, a prospective cohort study initiated in 2006, were analyzed. A total of 2,829 participants with early-onset CVD were included. Cox proportional hazard models were used to assess hazard ratios (HR) and 95% confidence intervals (CI) for gender disparities in all-cause mortality, adjusting for various factors. RESULTS Males experienced a median follow-up duration of 7.54 years with 276 recorded deaths, and females had a median follow-up of 6.45 years with 105 recorded deaths. Gender disparities in all-cause mortality were observed, with men experiencing a higher all-cause mortality risk compared to women (HR: 1.42, 95% CI: 1.04, 1.92) in the fully adjusted model. Both in men and women with early-onset CVD, elevated hs-CRP levels and an eGFR < 60 mL/min/1.73m2 notably escalated the risk of all-cause mortality. Furthermore, the utilization of antiplatelet agents and successful blood glucose control might mitigate the risk of all-cause mortality. Smoking and eGFR decline modified the association between gender and all-cause death, women were more vulnerable to tobacco consumption and kidney misfunctioning than men (P-interaction = 0.019). CONCLUSION The study highlights gender disparities in all-cause mortality among individuals with early-onset CVD, with men experiencing a higher risk of mortality compared to women. Addressing these disparities is important for improving outcomes in this population. Further research is needed to develop sex-specific interventions and strategies to reduce gender-related mortality disparities in early-onset CVD.
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Affiliation(s)
- Jing Yang
- Department of Cardiology, Tangshan Gongren Hospital, No. 27, Wenhua Road, Lubei District, Tangshan, 063000, Hebei Province, People's Republic of China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, 063000, Hebei, China
| | - Yang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Peking University, 38# Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Jinguo Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, 063000, Hebei, China
| | - Boheng Zhang
- Department of Cardiology, Tangshan Gongren Hospital, No. 27, Wenhua Road, Lubei District, Tangshan, 063000, Hebei Province, People's Republic of China
| | - Wei Li
- Graduate School, Hebei Medical University, Shijiazhuang, China
| | - Qi Zhang
- Department of Cardiology, Tangshan Gongren Hospital, No. 27, Wenhua Road, Lubei District, Tangshan, 063000, Hebei Province, People's Republic of China.
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Nie L, He J, Wang J, Wang R, Huang L, Jia L, Kim YT, Bhawal UK, Fan X, Zille M, Jiang C, Chen X, Wang J. Environmental Enrichment for Stroke and Traumatic Brain Injury: Mechanisms and Translational Implications. Compr Physiol 2023; 14:5291-5323. [PMID: 38158368 DOI: 10.1002/cphy.c230007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Acquired brain injuries, such as ischemic stroke, intracerebral hemorrhage (ICH), and traumatic brain injury (TBI), can cause severe neurologic damage and even death. Unfortunately, currently, there are no effective and safe treatments to reduce the high disability and mortality rates associated with these brain injuries. However, environmental enrichment (EE) is an emerging approach to treating and rehabilitating acquired brain injuries by promoting motor, sensory, and social stimulation. Multiple preclinical studies have shown that EE benefits functional recovery, including improved motor and cognitive function and psychological benefits mediated by complex protective signaling pathways. This article provides an overview of the enriched environment protocols used in animal models of ischemic stroke, ICH, and TBI, as well as relevant clinical studies, with a particular focus on ischemic stroke. Additionally, we explored studies of animals with stroke and TBI exposed to EE alone or in combination with multiple drugs and other rehabilitation modalities. Finally, we discuss the potential clinical applications of EE in future brain rehabilitation therapy and the molecular and cellular changes caused by EE in rodents with stroke or TBI. This article aims to advance preclinical and clinical research on EE rehabilitation therapy for acquired brain injury. © 2024 American Physiological Society. Compr Physiol 14:5291-5323, 2024.
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Affiliation(s)
- Luwei Nie
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinxin He
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
- Key Laboratory for Brain Science Research and Transformation in the Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Junmin Wang
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ruike Wang
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Leo Huang
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Lin Jia
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Yun Tai Kim
- Division of Functional Food Research, Korea Food Research Institute, Wanju-gun, Jeollabuk-do, Republic of Korea
- Department of Food Biotechnology, Korea University of Science & Technology, Daejeon, Republic of Korea
| | - Ujjal K Bhawal
- Research Institute of Oral Science, Nihon University School of Dentistry at Matsudo, Chiba, Japan
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India
| | - Xiaochong Fan
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Marietta Zille
- Department of Pharmaceutical Sciences, Division of Pharmacology and Toxicology, University of Vienna, Vienna, Austria
| | - Chao Jiang
- Department of Neurology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Xuemei Chen
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Jian Wang
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
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Eriksson M, Grundberg A, Inge E, von Euler M. Stroke Recurrence Following 28 Days After First Stroke in Men and Women 2012 to 2020: Observations From the Swedish Stroke Register. J Am Heart Assoc 2023; 12:e028222. [PMID: 36688356 PMCID: PMC9973638 DOI: 10.1161/jaha.122.028222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Background Stroke incidence, care, and survival show continuous improvements in Sweden, including no or decreasing disparities between men and women. In this study, we aimed to estimate and compare the risk of stroke recurrence in men and women over time, accounting for the competing risk of death. Methods and Results We included adult patients with first-time stroke (ischemic or intracerebral hemorrhage) registered in Riksstroke (the Swedish Stroke Register), 2012 to 2020, and followed until December 2020. Stroke recurrences included new events registered in Riksstroke from 28 days after stroke. To account for the competing risk of death, we used the cumulative incidence function to estimate crude incidences, and multivariable Cox regression to estimate cause-specific hazard ratios (HRs) adjusting for differences in patients' risk factor profiles. The study included 72 148 (53.5%) men and 62 689 (46.5%) women. We observed 10 925 stroke recurrences and 81 811 deaths following the initial 28 days after the first stroke. The cumulative incidence of stroke recurrence was 3.7% (95% CI, 3.6-3.8) after 1 year, 7.0 (95% CI, 6.8-7.1) after 3 years, and 9.1% (95% CI, 8.9-9.3) after 5 years. The incidence decreased substantially during the study period (HR, 2019-2020 versus 2012, 0.824 [95% CI, 0.759-0.894]). Overall, men had a lower risk of stroke recurrence. After adjustments for differences in patient characteristics, men had a slightly higher risk of recurrence (of any type) after an ischemic stroke (HR, 1.090 [95% CI, 1.045-1.138]) and a lower risk after hemorrhagic stroke (HR, 0.880 [95% CI, 0.781-0.991]) compared with women. Conclusions The risk of stroke recurrence has decreased in both men and women. Women's higher age and other differences in risk factors partly explain their higher risk of stroke recurrence compared with men.
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Affiliation(s)
| | | | - Erik Inge
- Department of Statistics, USBEUmeå UniversityUmeåSweden
| | - Mia von Euler
- Department of Neurology and Rehabilitation, Faculty of Medicine and HealthÖrebro UniversityÖrebroSweden
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Boutros CF, Khazaal W, Taliani M, Said Sadier N, Salameh P, Hosseini H. One-year recurrence of stroke and death in Lebanese survivors of first-ever stroke: Time-to-Event analysis. Front Neurol 2022; 13:973200. [PMID: 36452174 PMCID: PMC9702576 DOI: 10.3389/fneur.2022.973200] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 10/14/2022] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND To date, despite the application of secondary prevention worldwide, first-ever stroke survivors remain at imminent risk of stroke recurrence and death in the short and long term. The present study aimed to assess the cumulative risk rates and identify baseline differences and stroke characteristics of Lebanese survivors. METHODS A prospective longitudinal study was conducted among survivors ≥18 years old who were followed-up for 15 months through a face-to-face interview. Kaplan-Meier method was used to calculate the cumulative rates of stroke mortality and recurrence. Cox-regression univariate and multivariable analyses were performed to identify the predictors of both outcomes. RESULTS Among 150 subjects (mean age 74 ± 12 years; 58.7% men vs. 44.3% women; 95.3% with ischemic stroke vs. 4.3% with intracerebral hemorrhage), high cumulative risk rates of stroke recurrence (25%) and death (21%) were highlighted, especially in the acute phase. Survival rates were lesser in patients with stroke recurrence compared to those without recurrence (Log rank test p < 0.001). Older age was the main predictor for both outcomes (p < 0.02). Large artery atherosclerosis was predominant in patients with stroke recurrence and death compared to small vessel occlusion (p < 0.02). Higher mental component summary scores of quality of life were inversely associated with stroke recurrence (p < 0.01). Lebanese survivors exhibited the highest percentages of depression and anxiety; elevated Hospital Anxiety and Depression Scale (HADS) scores were seen in those with stroke recurrence and those who died (≥80% with mean HADS scores ≥8). Lower Mini-Mental State Examination scores at the acute phase increased the risk of both outcomes by 10% (p < 0.03). Three out of 13 mortalities (23.1%) were presented with early epileptic seizures (p = 0.012). High educational level was the protective factor against stroke recurrence (p = 0.019). Administration of intravenous thrombolysis decreased the risk of both outcomes by 10% (p > 0.05). CONCLUSION Higher rates of stroke recurrence and death were observed in the first year following a stroke in Lebanon. Various factors were identified as significant determinants. Thus, health care providers and officials in Lebanon can use these findings to implement effective preventive strategies to best address the management of these factors to reduce the stroke burden and improve the short and long-term prognosis of stroke survivors.
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Affiliation(s)
- Celina F. Boutros
- Institut Mondor de Recherche Biomédicale (IMRB)-INSERM U955, Ecole Doctorale Science de la Vie et de la Santé, Université Paris-Est Créteil, Paris, France
| | - Walaa Khazaal
- Faculty of Medical Sciences, Neuroscience Research Center, Lebanese University, Hadath, Lebanon
| | - Maram Taliani
- Faculty of Medical Sciences, Neuroscience Research Center, Lebanese University, Hadath, Lebanon
| | - Najwane Said Sadier
- Faculty of Medical Sciences, Neuroscience Research Center, Lebanese University, Hadath, Lebanon
- College of Health Sciences, Abu Dhabi University, Abu Dhabi, United Arab Emirates
| | - Pascale Salameh
- Institut National de Santé Publique, Epidémiologie Clinique et Toxicologie (INSPECT-LB), Beirut, Lebanon
- Faculty of Pharmacy, Lebanese University, Hadath, Lebanon
- University of Nicosia Medical School, Nicosia, Cyprus
| | - Hassan Hosseini
- Institut Mondor de Recherche Biomédicale (IMRB)-INSERM U955, Ecole Doctorale Science de la Vie et de la Santé, Université Paris-Est Créteil, Paris, France
- Institut National de Santé Publique, Epidémiologie Clinique et Toxicologie (INSPECT-LB), Beirut, Lebanon
- Hôpital Henri Mondor, AP-HP, Créteil, France
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Bavishi S, Chaudhary D, Li J, Naik S, Abedi V, Zand R. Long-term mortality in ischemic stroke patients with concomitant chronic obstructive pulmonary disease. J Stroke Cerebrovasc Dis 2022; 31:106701. [PMID: 36070633 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106701] [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: 02/01/2022] [Revised: 07/28/2022] [Accepted: 08/02/2022] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND Long-term mortality in ischemic stroke patients with concomitant COPD has been largely unexplored. This study aimed to compare long-term all-cause mortality in ischemic stroke patients with and without COPD. METHODS This was a retrospective cohort study of ischemic stroke patients with and without COPD in the Geisinger Neuroscience Ischemic Stroke database to examine all-cause mortality up to 3 years using Kaplan-Meier estimator and Cox proportional hazards model. RESULTS Of the 6,589 ischemic stroke patients included in this study, 5,525 (83.9%) did not have COPD (group A). Group B (n=1,006) consisted of patients with COPD diagnosis by ICD-9/10-CM codes. COPD patients in Group C (n=233) were diagnosed by spirometry, and in Group D (n=175) by both ICD-9/10-CM codes and spirometry confirmation. The survival probabilities at three years in Group B, C, and D were significantly lower than in Group A. Group B (HR=1.262, 95% CI 1.122-1.42, p<0.001) and group C (HR=1.251, 95% CI 1.01-1.55, p=0.041) had significantly lower hazard of mortality compared to group A. There was no significant difference in survival between COPD subtypes of chronic bronchitis and emphysema. Patients in Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2 stage had an increased mortality hazard compared to the GOLD 1 stage. CONCLUSIONS While ischemic stroke patients with preexisting COPD have worse long-term survival than those without COPD, the results largely depended on the definition of COPD used. These results suggest that ischemic stroke patients with COPD need more personalized medical care to decrease long-term mortality.
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Affiliation(s)
| | - Durgesh Chaudhary
- Neuroscience Institute, Geisinger Health System, 100 North Academy Ave, Danville, PA 17822, USA.
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA 17822, USA.
| | - Sreelatha Naik
- Department of Pulmonology, Critical Care and Sleep Medicine, Geisinger Health System, Wilkes-Barre, PA 18711, USA.
| | - Vida Abedi
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.
| | - Ramin Zand
- Neuroscience Institute, Geisinger Health System, 100 North Academy Ave, Danville, PA 17822, USA; Neuroscience Institute, The Pennsylvania State University, Hershey, PA 17033, USA.
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Predictors of Post-Stroke Depression: A Retrospective Cohort Study. Brain Sci 2022; 12:brainsci12080993. [PMID: 35892434 PMCID: PMC9332855 DOI: 10.3390/brainsci12080993] [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: 06/25/2022] [Revised: 07/16/2022] [Accepted: 07/22/2022] [Indexed: 11/29/2022] Open
Abstract
Despite reports of a high incidence and various predictors of post-stroke depression (PSD), the underdiagnosis and undertreatment rates of PSD are still high. This study aimed to examine the incidence of depression in stroke patients and identify factors associated with PSD. This was a retrospective cohort study on ischemic stroke patients from the Geisinger Neuroscience Ischemic Stroke (GNSIS) registry. The following statistical analyses were performed to predict PSD in the studied population: a Kaplan−Meier estimator and a Cox proportional hazards model. A total of 5882 patients were included in the study. The median age at the time of an ischemic stroke was 72 years and 56% were males. A total of 294 patients were diagnosed with PSD within one year of a stroke. The cumulative incidence of depression was found to be 6.4% (95% CI 5.7−7.1%) at one year for the entire cohort. Women were found to have a higher risk of PSD than men (HR for women = 1.47, 95% CI 1.18−1.85, p = 0.001). A history of prior stroke (HR = 1.58, 95% CI 1.18−2.11, p = 0.002) and myocardial infarction (HR = 1.47, 95% CI 1.05−2.06, p = 0.025) were associated with PSD. Medicaid patients had a higher risk for PSD (HR = 2.16, 95% CI 1.5−3.12, p < 0.001) than those with commercial insurance or health maintenance organization plans. Our findings showed that women, patients with a history of prior stroke or myocardial infarction, and with Medicaid insurance were more likely to develop PSD. Through an observational study on the EHR data, we confirmed that chronic stress, including financial and health-related stress, irrespective of age, significantly increased the risk for PSD.
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Basu E, Salehi Omran S, Kamel H, Parikh NS. Sex differences in the risk of recurrent ischemic stroke after ischemic stroke and transient ischemic attack. Eur Stroke J 2022; 6:367-373. [PMID: 35342804 DOI: 10.1177/23969873211058568] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 10/20/2021] [Indexed: 10/19/2022] Open
Abstract
Background Sex differences in stroke outcomes have been noted, but whether this extends to stroke recurrence is unclear. We examined sex differences in recurrent stroke using data from the Platelet-Oriented Inhibition in New TIA and Minor Ischemic Stroke (POINT) trial. Patients and methods We assessed the risk of recurrent stroke in women compared to men using data from the POINT trial. Adults >18 years old were randomized within 12 hours of onset of minor ischemic stroke or transient ischemic attack (TIA), and followed for up to 90 days for ischemic stroke, our primary outcome. We used Cox proportional hazards model adjusted for demographics and stroke risk factors to evaluate the association between sex and stroke recurrence. We used interaction term testing and prespecified subgroup analyses to determine if the association between sex and recurrent stroke differed by age (<60 versus >60 years old), locale (US versus non-US), and index event type (stroke versus TIA). Last, we evaluated whether sex modified the effect of common stroke risk factors on stroke recurrence. Results Of 4,881 POINT trial participants with minor stroke or high-risk TIA, 2,195 (45%) were women. During the 90-day follow-up period, 267 ischemic strokes occurred; 121 were in women and 146 in men. The cumulative risk of recurrent ischemic stroke was not significantly different among women (5.76%; 95% CI, 4.84%-6.85%) compared to men (5.67%; 95% CI, 4.83%-6.63%). Women were not at a different risk of recurrent ischemic stroke compared to men (hazard ratio [HR], 1.02; 95% CI, 0.80-1.30) in unadjusted models or after adjusting for covariates. However, there was a significant interaction of age with sex (P=0.04). Among patients <60 years old, there was a non-significantly lower risk of recurrent stroke in women compared to men (HR 0.66; 95% CI 0.42-1.05). Last, sex did not modify the association between common stroke risk factors and recurrent stroke risk. Discussion and Conclusion Among patients with minor stroke or TIA, the risk of recurrent ischemic stroke and the impact of common stroke risk factors did not differ between men and women.
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Affiliation(s)
- Elora Basu
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | | | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Neal S Parikh
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY, USA
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Chaudhary D, Anyaehie M, Demiraj F, Bavishi S, Shahjouei S, Li J, Abedi V, Zand R. Comparison of Long-Term Outcomes and Associated Factors between Younger and Older Rural Ischemic Stroke Patients. J Clin Med 2022; 11:jcm11051430. [PMID: 35268521 PMCID: PMC8911514 DOI: 10.3390/jcm11051430] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/16/2022] [Accepted: 03/03/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction: The rise of ischemic stroke among young adults has stressed the need to understand their risk profiles and outcomes better. This study aimed to examine the five-year ischemic stroke recurrence and survival probability among young patients in rural Pennsylvania. Methods: This retrospective cohort study included first-time ischemic stroke patients from the Geisinger Health System between September 2003 and May 2014. The outcomes included all-cause mortality and ischemic stroke recurrence at five years. Kaplan-Meier estimator, cumulative incidence function, Cox proportional hazards model, and Cause-specific hazard model were used to examine the association of independent variables with the outcomes. Results: A total of 4459 first-time ischemic stroke patients were included in the study, with 664 (14.9%) patients in the 18−55 age group and 3795 (85.1%) patients in the >55 age group. In the 18−55 age group, the five-year survival probability was 87.2%, and the cumulative incidence of recurrence was 8%. Patients in the 18−55 age group had significantly lower hazard for all-cause mortality (HR = 0.37, 95% CI 0.29−0.46, p < 0.001), and non-significant hazard for five-year recurrence (HR = 0.81, 95% CI 0.58−1.12, p = 0.193) compared to the >55 age group. Chronic kidney disease was found to be associated with increased mortality in the 18−55 age group. Conclusion: In our rural population, younger ischemic stroke patients were at the same risk of long-term ischemic stroke recurrence as the older ischemic stroke patients. Identifying the factors and optimizing adequate long-term secondary prevention may reduce the risk of poor outcomes among younger ischemic stroke patients.
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Affiliation(s)
- Durgesh Chaudhary
- Department of Neurology, Neuroscience Institute, Geisinger Health System, Danville, PA 17822, USA; (D.C.); (S.S.)
| | - Michelle Anyaehie
- Department of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, PA 18510, USA;
| | - Francis Demiraj
- Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Davie, FL 33314, USA;
| | - Shreya Bavishi
- Cell and Molecular Biology Department, Tulane University, New Orleans, LA 70118, USA;
| | - Shima Shahjouei
- Department of Neurology, Neuroscience Institute, Geisinger Health System, Danville, PA 17822, USA; (D.C.); (S.S.)
| | - Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA;
| | - Vida Abedi
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA;
| | - Ramin Zand
- Department of Neurology, Neuroscience Institute, Geisinger Health System, Danville, PA 17822, USA; (D.C.); (S.S.)
- Neuroscience Institute, The Pennsylvania State University, Hershey, PA 17033, USA
- Correspondence:
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Abstract
Women face a disproportionate burden of stroke mortality and disability. Biologic sex and sociocultural gender both contribute to differences in stroke risk factors, assessment, treatment, and outcomes. There are substantial differences in the strength of association of stroke risk factors, as well as female-specific risk factors. Moreover, there are differences in presentation, response to treatment, and stroke outcomes in women. This review outlines current knowledge of impact of sex and gender on stroke, as well as delineates research gaps and areas for future inquiry.
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Affiliation(s)
- Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Tracy E. Madsen
- Division of Sex and Gender in Emergency Medicine, Department of Emergency Medicine, Warren Alpert Medical School of Brown University, Providence, RI; Department of Epidemiology, Brown University School of Public Health, Providence RI
| | - Amy Y. X. Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cheryl Carcel
- Neurology Program, The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Judith H. Lichtman
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT
| | - Eliza C. Miller
- Division of Stroke and Cerebrovascular Disease, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
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Cao Y, Chen Y, Zhang X, Wang Y. Analysis of Prognostic Risk Factors for Ischemic Stroke in China: A Multicentre Retrospective Clinical Study; A National Survey in China. Curr Neurovasc Res 2022; 19:117-126. [PMID: 35362370 PMCID: PMC10556397 DOI: 10.2174/1567202619666220331160024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/09/2022] [Accepted: 02/14/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Stroke is a serious disease that threatens human health both in China and worldwide. Identifying and establishing its risk factors are prerequisites for intervention and evaluation of prognosis. Over the years, risk factors, such as age, diabetes, and hypertension, have gradually been established. However, at present, there is no consensus on the influence of sex on the prognosis of ischaemic stroke. AIMS The aims of our research was to analyse the correlation between sex and poststroke prognosis based on the results of the Third China National Stroke Registry [CNSR-III], as well as the influence of other risk factors that may be confounded by sex on ischaemic stroke and potential interventions. METHODS The CNSR-III recruited 14146 acute ischaemic stroke [AIS] patients between 2015 and 2018. Our study included 13,972 patients who had complete follow-up information. This research analysed basic information, socioeconomic status, lifestyle habits, medical history, and poststroke prognosis. RESULTS There was a conspicuous relationship between sex and functional prognosis, stroke recurrence and all-cause death due to ischemic stroke in univariate analysis. Male stroke patients had a better prognosis than female patients. In multivariate analysis, we found that age, atrial fibrillation [AF], diabetes, hypertension and the severity of stroke had adverse effects on ischemic stroke prognosis. After adjustment for other risk factors, the functional prognosis of female patients at 3 months was worse than that of male patients [odds ratio [OR] 1.16, 95% confidence interval [CI], 1.025- 1.314]. Sex had a nonsignificant association with stroke recurrence at 3 months [hazard ratio [HR] 1.141, 95% CI, 0.975-1.336]. Furthermore, compared to male patients, female stroke patients had a lower cumulative death rate at 12 months [HR 0.777, 95% CI, 0.628-0.963]. CONCLUSION Our study identified sex differences in stroke-related disability, recurrence, and death and attempted to explain the causes of these differences. Our study clearly showed that a large proportion of this difference could be attributed to age, socioeconomic factors, lifestyle habits, and medical history, confounded by sex differences rather than sex per se.
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Affiliation(s)
- Yuting Cao
- These authors contributed equally to this work and should be considered co-first authors.
| | - Ying Chen
- These authors contributed equally to this work and should be considered co-first authors.
| | | | - Yongjun Wang
- Address correspondence to this author at the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China E-mail:
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"Lessons Learned" Preventing Recurrent Ischemic Strokes through Secondary Prevention Programs: A Systematic Review. J Clin Med 2021; 10:jcm10184209. [PMID: 34575320 PMCID: PMC8471819 DOI: 10.3390/jcm10184209] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 11/16/2022] Open
Abstract
Recurrent ischemic strokes are a cause of significant healthcare burdens globally. Patients with uncontrolled vascular risk factors are more likely to develop recurrent ischemic strokes. This study aims to compile information gained from current secondary prevention programs. A pre-defined literature search strategy was applied to PubMed, SCOPUS, CINAHL, and Google Scholar databases, and studies from 1997 to 2020 were evaluated for quality, study aims, and outcomes. The search produced 1175 articles (1092 after duplicates were removed) and titles were screened; 55 titles were retained for the full-text analysis. Of the remaining studies, 31 were retained for assessment, five demonstrated long-term effectiveness, eight demonstrated short-term effectiveness, and 18 demonstrated no effectiveness. The successful studies utilized a variety of different techniques in the categories of physical fitness, education, and adherence to care plans to reduce the risk of recurrent strokes. The lessons we learned from the current prevention programs included (1) offer tailored care for underserved groups, (2) control blood pressure, (3) provide opportunities for medication dosage titration, (4) establish the care plan prior to discharge, (5) invest in supervised exercise programs, (6) remove barriers to accessing care in low resource settings, and (7) improve the transition of care.
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Predicting short and long-term mortality after acute ischemic stroke using EHR. J Neurol Sci 2021; 427:117560. [PMID: 34218182 DOI: 10.1016/j.jns.2021.117560] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 06/21/2021] [Accepted: 06/25/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Despite improvements in treatment, stroke remains a leading cause of mortality and long-term disability. In this study, we leveraged administrative data to build predictive models of short- and long-term post-stroke all-cause-mortality. METHODS The study was conducted and reported according to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guideline. We used patient-level data from electronic health records, three algorithms, and six prediction windows to develop models for post-stroke mortality. RESULTS We included 7144 patients from which 5347 had survived their ischemic stroke after two years. The proportion of mortality was between 8%(605/7144) within 1-month, to 25%(1797/7144) for the 2-years window. The three most common comorbidities were hypertension, dyslipidemia, and diabetes. The best Area Under the ROC curve(AUROC) was reached with the Random Forest model at 0.82 for the 1-month prediction window. The negative predictive value (NPV) was highest for the shorter prediction windows - 0.91 for the 1-month - and the best positive predictive value (PPV) was reached for the 6-months prediction window at 0.92. Age, hemoglobin levels, and body mass index were the top associated factors. Laboratory variables had higher importance when compared to past medical history and comorbidities. Hypercoagulation state, smoking, and end-stage renal disease were more strongly associated with long-term mortality. CONCLUSION All the selected algorithms could be trained to predict the short and long-term mortality after stroke. The factors associated with mortality differed depending on the prediction window. Our classifier highlighted the importance of controlling risk factors, as indicated by laboratory measures.
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Darabi N, Hosseinichimeh N, Noto A, Zand R, Abedi V. Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients. Front Neurol 2021; 12:638267. [PMID: 33868147 PMCID: PMC8044392 DOI: 10.3389/fneur.2021.638267] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 03/08/2021] [Indexed: 11/18/2022] Open
Abstract
Background and Purpose: Hospital readmissions impose a substantial burden on the healthcare system. Reducing readmissions after stroke could lead to improved quality of care especially since stroke is associated with a high rate of readmission. The goal of this study is to enhance our understanding of the predictors of 30-day readmission after ischemic stroke and develop models to identify high-risk individuals for targeted interventions. Methods: We used patient-level data from electronic health records (EHR), five machine learning algorithms (random forest, gradient boosting machine, extreme gradient boosting-XGBoost, support vector machine, and logistic regression-LR), data-driven feature selection strategy, and adaptive sampling to develop 15 models of 30-day readmission after ischemic stroke. We further identified important clinical variables. Results: We included 3,184 patients with ischemic stroke (mean age: 71 ± 13.90 years, men: 51.06%). Among the 61 clinical variables included in the model, the National Institutes of Health Stroke Scale score above 24, insert indwelling urinary catheter, hypercoagulable state, and percutaneous gastrostomy had the highest importance score. The Model's AUC (area under the curve) for predicting 30-day readmission was 0.74 (95%CI: 0.64-0.78) with PPV of 0.43 when the XGBoost algorithm was used with ROSE-sampling. The balance between specificity and sensitivity improved through the sampling strategy. The best sensitivity was achieved with LR when optimized with feature selection and ROSE-sampling (AUC: 0.64, sensitivity: 0.53, specificity: 0.69). Conclusions: Machine learning-based models can be designed to predict 30-day readmission after stroke using structured data from EHR. Among the algorithms analyzed, XGBoost with ROSE-sampling had the best performance in terms of AUC while LR with ROSE-sampling and feature selection had the best sensitivity. Clinical variables highly associated with 30-day readmission could be targeted for personalized interventions. Depending on healthcare systems' resources and criteria, models with optimized performance metrics can be implemented to improve outcomes.
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Affiliation(s)
- Negar Darabi
- Department of Industrial and Systems Engineering, Virginia Tech, Falls Church, VA, United States
| | - Niyousha Hosseinichimeh
- Department of Industrial and Systems Engineering, Virginia Tech, Falls Church, VA, United States
| | - Anthony Noto
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, PA, United States
| | - Ramin Zand
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, PA, United States
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, United States
- Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States
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Diaz J, Koza E, Chaudhary D, Shahjouei S, Naved MMA, Malik MT, Li J, Adibuzzaman M, Griffin P, Abedi V, Zand R. Adherence to anticoagulant guideline for atrial fibrillation: A large care gap among stroke patients in a rural population. J Neurol Sci 2021; 424:117410. [PMID: 33770707 DOI: 10.1016/j.jns.2021.117410] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/12/2021] [Accepted: 03/18/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE This study aimed to investigate the prevalence and factors associated with oral anticoagulant undertreatment of atrial fibrillation (AF) among a cohort of rural patients with stroke outcomes and examine how undertreatment may influence a patient's one-year survival after stroke. METHODS This retrospective cohort study examined ischemic stroke patients with pre-stroke AF diagnosis from September 2003 to May 2019 and divided them into proper treatment and undertreatment group. Analysis included chi-square test, variance analysis, Kruskal-Wallis test, logistic regression, Kaplan-Meier estimator, and Cox proportional-hazards model. RESULTS Out of 1062 ischemic stroke patients with a pre-stroke AF diagnosis, 1015 patients had a CHA2DS2-VASc score ≥2, and 532 (52.4%) of those were undertreated. Median time from AF diagnosis to index stroke was significantly lower among undertreated patients (1.9 years vs. 3.6 years, p < 0.001). Other thromboembolism, excluding stroke, TIA, and myocardial infarction (OR 0.41, p < 0.001), the number of encounters per year (OR 0.90, p < 0.001), and the median time between AF diagnosis and stroke event (OR 0.86, p < 0.001) were negatively associated with undertreatment. Kaplan-Meier estimator showed no statistical difference in the one-year survival probability between groups (log-rank test, p = 0.29), while the Cox-Hazard model showed that age (HR 1.05, p < 0.001) and history of congestive heart failure (HR 1.88, p < 0.001) increased the risk of mortality. CONCLUSIONS More than half of our rural stroke patients with a pre-index AF diagnosis were not on guideline-recommended treatment. The study highlights a large care gap and an opportunity to improve AF management.
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Affiliation(s)
- Johan Diaz
- Geisinger Commonwealth School of Medicine, Scranton, PA, USA
| | - Eric Koza
- Geisinger Commonwealth School of Medicine, Scranton, PA, USA
| | - Durgesh Chaudhary
- Neurology Department, Neuroscience Institute, Geisinger Health System, Danville, PA, USA
| | - Shima Shahjouei
- Neurology Department, Neuroscience Institute, Geisinger Health System, Danville, PA, USA
| | | | - Muhammad Taimur Malik
- Neurology Department, Neuroscience Institute, Geisinger Health System, Danville, PA, USA
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, USA
| | - Mohammad Adibuzzaman
- Regenstrief Center for Healthcare Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Paul Griffin
- Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA, USA
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, USA; Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA
| | - Ramin Zand
- Neurology Department, Neuroscience Institute, Geisinger Health System, Danville, PA, USA.
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Chaudhary D, Khan A, Gupta M, Hu Y, Li J, Abedi V, Zand R. Obesity and mortality after the first ischemic stroke: Is obesity paradox real? PLoS One 2021; 16:e0246877. [PMID: 33566870 PMCID: PMC7875337 DOI: 10.1371/journal.pone.0246877] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 01/27/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND PURPOSE Obesity is an established risk factor for ischemic stroke but the association of increased body mass index (BMI) with survival after ischemic stroke remains controversial. Many studies have shown that increased BMI has a "protective" effect on survival after stroke while other studies have debunked the "obesity paradox". This study aimed at examining the relationship between BMI and all-cause mortality at one year in first-time ischemic stroke patients using a large dataset extracted from different resources including electronic health records. METHODS This was a retrospective cohort study of consecutive ischemic stroke patients captured in our Geisinger NeuroScience Ischemic Stroke (GNSIS) database. Survival in first-time ischemic stroke patients in different BMI categories was analyzed using Kaplan Meier survival curves. The predictors of mortality at one-year were assessed using a stratified Cox proportional hazards model. RESULTS Among 6,703 first-time ischemic stroke patients, overweight and obese patients were found to have statistically decreased hazard ratio (HR) compared to the non-overweight patients (overweight patients- HR = 0.61 [95% CI, 0.52-0.72]; obese patients- HR = 0.56 [95% CI, 0.48-0.67]). Predictors with a significant increase in the hazard ratio for one-year mortality were age at the ischemic stroke event, history of neoplasm, atrial fibrillation/flutter, diabetes, myocardial infarction and heart failure. CONCLUSION Our study results support the obesity paradox in ischemic stroke patients as shown by a significantly decreased hazard ratio for one-year mortality among overweight and obese patients in comparison to non-overweight patients.
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Affiliation(s)
- Durgesh Chaudhary
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Ayesha Khan
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Mudit Gupta
- Phenomic Analytics and Clinical Data Core, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Yirui Hu
- Department of Population Health Sciences, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America
- Biocomplexity Institute, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Ramin Zand
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania, United States of America
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