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Skajaa N, Laugesen K, Lauffenburger JC, Schwamm LH, Sørensen HT, Patorno E. Trends in the Use of Medications for Secondary Ischemic Stroke Prevention in Denmark, 2005-2021. Neurology 2024; 102:e209309. [PMID: 38648572 PMCID: PMC11226314 DOI: 10.1212/wnl.0000000000209309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/29/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Understanding trends in the use of medications for secondary stroke prevention is crucial for identifying areas for improvement in stroke care. We examined the use of lipid-lowering, antihypertensive, glucose-lowering, oral anticoagulant, and antiplatelet medications after ischemic stroke hospitalization, from 2005 to 2021. METHODS Using nationwide registries in Denmark, we identified a cohort of patients discharged from hospital with a first-time or recurrent ischemic stroke (N = 150,744). Stratified by calendar year, we ascertained the 180-day probability of filling a prescription for the abovementioned medications after discharge. We further assessed factors associated with medication use. RESULTS From 2005 to 2021, lipid-lowering medication use increased from 58.3% to 82.0%; atorvastatin use rose from 2.1% to 64.8% and simvastatin use decreased from 55.7% to 8.6%. Antihypertensive medication use remained stable, at approximately 89%, and various antihypertensive classes were used comparably. Glucose-lowering medication use increased from 71.5% in 2005 to 84.1% in 2021, driven primarily by an increase in metformin use (from 28.0% to 59.5%). Use of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors continually increased (from 1.7% to 17.5% and from 0.5% to 17.3%, respectively) between 2015 and 2021. Anticoagulant medication use rose from 45.9% in 2005 to 87.0% in 2021, primarily because of increased use of direct oral anticoagulant medications starting around 2010 and a decline in warfarin use. Antiplatelet use remained consistently high, at approximately 95%. Trends were consistent across subgroups of interest; however, overall medication use was lower in older patients (65 years and older), patients with severe stroke, and patients with neurologic and psychiatric comorbidities. DISCUSSION Despite increasing trends in the use of 3 of 5 medication classes, the overall use of lipid-lowering, glucose-lowering, and oral anticoagulant medications was somewhat lower than expected according to clinical guidelines, particularly among older patients with more severe stroke and other comorbidities. The relatively low use in these subgroups may signify appropriate clinical decision making in consideration of frequent contraindications and reduced life expectancy or highlight potential areas of improvement for the care of patients with recent ischemic stroke.
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Affiliation(s)
- Nils Skajaa
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Kristina Laugesen
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Julie C Lauffenburger
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Lee H Schwamm
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Henrik T Sørensen
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
| | - Elisabetta Patorno
- From the Departments of Clinical Epidemiology and Clinical Medicine (N.S., K.L., H.T.S.), Aarhus University; Department of Clinical Biochemistry (K.L.), Aarhus University Hospital, Denmark; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine (J.C.L., E.P.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Yale School of Medicine (L.H.S.), New Haven, CT
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Skajaa N, Farkas DK, Laugesen K, Fuglsang CH, Henderson VW, Plana-Ripoll O, Gaist D, Sørensen HT. Mental Health Conditions in Partners and Adult Children of Stroke Survivors. JAMA Netw Open 2024; 7:e243286. [PMID: 38483386 PMCID: PMC10940969 DOI: 10.1001/jamanetworkopen.2024.3286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/29/2024] [Indexed: 03/17/2024] Open
Abstract
Importance Family caregiving after critical illness has been associated with several adverse health outcomes, including various aspects of mental health, but research focusing specifically on family members of stroke survivors is limited. Objectives To examine the associations of stroke in a partner or parent with the risk of depression, substance use disorders, anxiety disorders, and self-harm or suicide. Design, Setting, and Participants This nationwide, population-based cohort study used data from Danish nationwide administrative and clinical registries (2004-2021). Participants included partners and adult children of survivors of stroke. Data analysis was performed from March to December 2023. Exposure Having a partner or parent who survived stroke. Main Outcomes and Measures The Aalen-Johansen estimator was used to compute propensity score-weighted 3-year absolute risks, risk differences, and risk ratios for depression, substance use disorders, anxiety disorders, and self-harm or suicide among partners or children of survivors of stroke compared with partners or children of survivors of myocardial infarction (MI) and matched individuals from the general population. Results The study included a total of 1 923 732 individuals: 70 917 partners of stroke survivors (median [IQR] age, 68 [59-76] years; 46 369 women [65%]), 70 664 partners of MI survivors (median [IQR] age, 65 [55-73] years; 51 849 women [73%]), 354 570 partners of individuals from the general population (median [IQR] age, 68 [59-76] years; 231 833 women [65%]), 207 386 adult children of stroke survivors (median [IQR] age, 45 [36-52] years; 99 382 women [48%]), 183 309 adult children of MI survivors (median [IQR] age, 42 [33-49] years; 88 078 women [48%]), and 1 036 886 adult children of individuals from the general population (median [IQR] age, 45 [36-52] years; 496 875 women [48%]). Baseline characteristics were well balanced across cohorts after propensity score weighting. Among partners of stroke survivors, the 3-year absolute risk was 1.0% for depression, 0.7% for substance use disorders, 0.3% for anxiety disorders, and 0.04% for self-harm or suicide. Risk ratio point estimates for the assessed outcomes ranged from 1.14 to 1.42 compared with the general population and from 1.04 to 1.09 compared with partners of MI survivors. The elevated risk of depression in partners of stroke survivors was more pronounced after severe or moderate stroke than after mild stroke. Among adult children of stroke survivors, the 3-year absolute risk was 0.6% for depression, 0.6% for substance use disorders, 0.2% for anxiety disorders, and 0.05% for self-harm or suicide. Both absolute risks and risk ratios for adult children of stroke survivors were smaller than those reported in the partner analyses. Conclusions and Relevance In this cohort study of partners and adult children of stroke survivors, risks of several mental health conditions and self-harm or suicide were moderately higher compared with the general population and, to a lesser extent, partners and adult children of MI survivors. These findings highlight the potential consequences of stroke among family members, particularly partners, and its findings may possibly serve as a quantitative foundation for the development of future stroke rehabilitation services.
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Affiliation(s)
- Nils Skajaa
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Dóra Körmendiné Farkas
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Kristina Laugesen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Cecilia Hvitfeldt Fuglsang
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Victor W. Henderson
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology & Population Health, Stanford University, Stanford, California
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, California
| | - Oleguer Plana-Ripoll
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - David Gaist
- Research Unit for Neurology, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
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Allen J, Dames SS, Foldi CJ, Shultz SR. Psychedelics for acquired brain injury: a review of molecular mechanisms and therapeutic potential. Mol Psychiatry 2024; 29:671-685. [PMID: 38177350 DOI: 10.1038/s41380-023-02360-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 11/24/2023] [Accepted: 12/01/2023] [Indexed: 01/06/2024]
Abstract
Acquired brain injury (ABI), such as traumatic brain injury and stroke, is a leading cause of disability worldwide, resulting in debilitating acute and chronic symptoms, as well as an increased risk of developing neurological and neurodegenerative disorders. These symptoms can stem from various neurophysiological insults, including neuroinflammation, oxidative stress, imbalances in neurotransmission, and impaired neuroplasticity. Despite advancements in medical technology and treatment interventions, managing ABI remains a significant challenge. Emerging evidence suggests that psychedelics may rapidly improve neurobehavioral outcomes in patients with various disorders that share physiological similarities with ABI. However, research specifically focussed on psychedelics for ABI is limited. This narrative literature review explores the neurochemical properties of psychedelics as a therapeutic intervention for ABI, with a focus on serotonin receptors, sigma-1 receptors, and neurotrophic signalling associated with neuroprotection, neuroplasticity, and neuroinflammation. The promotion of neuronal growth, cell survival, and anti-inflammatory properties exhibited by psychedelics strongly supports their potential benefit in managing ABI. Further research and translational efforts are required to elucidate their therapeutic mechanisms of action and to evaluate their effectiveness in treating the acute and chronic phases of ABI.
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Affiliation(s)
- Josh Allen
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Shannon S Dames
- Psychedelic-Assisted Therapy Post-Graduate Program, Health Sciences and Human Services, Vancouver Island University, Nanaimo, BC, Canada
| | - Claire J Foldi
- Department of Physiology, Monash University, Clayton, VIC, Australia
- Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia.
- Centre for Trauma and Mental Health Research, Health Sciences and Human Services, Vancouver Island University, Nanaimo, BC, Canada.
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Lin S, Zhang H, Qi M, Cooper DN, Yang Y, Yang Y, Zhao H. Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization. Neuroimage 2023; 279:120325. [PMID: 37579999 DOI: 10.1016/j.neuroimage.2023.120325] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/09/2023] [Accepted: 08/11/2023] [Indexed: 08/16/2023] Open
Abstract
Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases.
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Affiliation(s)
- Siying Lin
- Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China; School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China
| | - Haoyang Zhang
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China
| | - Mengling Qi
- Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, United Kingdom
| | - Yuedong Yang
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China.
| | - Yuanhao Yang
- Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia.
| | - Huiying Zhao
- Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
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Grobman B, Kothapalli N, Mansur A, Lu CY. Risk of suicide among stroke survivors in the United States. J Stroke Cerebrovasc Dis 2023; 32:107272. [PMID: 37604081 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107272] [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: 03/31/2023] [Revised: 07/15/2023] [Accepted: 07/20/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Stroke is the largest cause of disability and the 5th leading cause of death in the United States. Suicide is the 12th leading cause of death in the United States. However, little is known about the risk of suicide among people with a prior stroke. OBJECTIVES Using Multiple Cause of Death data (1999-2020) from the Centers for Disease Control and Prevention WONDER database, we examined via cross-sectional analysis the risk of suicide among survivors of stroke as compared to the general U.S. population and among subgroups within the United States. METHODS We assessed disparities in suicide rate among patients with stroke stratified by sex, race, urbanization levels, and census regions using the CDC WONDER multiple cause of death database. Standardized mortality rates were calculated to compare the suicide rate of stroke patients with the rates among demographic-matched cohorts and the general United States population. RESULTS As compared to the general population, stroke survivors had an elevated risk of suicide. Black stroke survivors had a lower rate of suicide as compared to the general population, while White stroke survivors and those in nonmetropolitan areas had an elevated risk compared to the general population. CONCLUSION There was a slightly elevated risk of suicide among people with a prior stroke in the United States. This risk may be elevated among White people and among people living in nonmetropolitan areas.
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Affiliation(s)
- Ben Grobman
- Harvard Medical School, Boston, Massachusetts, USA.
| | - Neeharika Kothapalli
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Arian Mansur
- Harvard Medical School, Boston, Massachusetts, USA
| | - Christine Y Lu
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA; Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, NSW, Australia; School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Devereux N, Berns AM. Evaluation & Treatment of Psychological Effects of Stroke. Dela J Public Health 2023; 9:62-69. [PMID: 37701469 PMCID: PMC10494802 DOI: 10.32481/djph.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023] Open
Abstract
Strokes are a common medical condition in the United States, including in Delaware. An under-recognized effect of stroke is the impact on mood that often occurs. Many individuals develop depression, anxiety, PTSD, and other psychological sequelae. These disorders can significantly affect their lives and their relationships. The emotional effects of stroke pose a public health problem for our residents, leading to devastating decreases in the quality of life for the patient and the family. These challenges negatively impact the community due to the associated healthcare and economic burdens. The population of the State of Delaware is growing, and the proportion of senior residents, who are also at greater risk for strokes, is also increasing. Strokes will remain an ongoing important clinical concern for our healthcare providers. Emotional changes after a stroke will occur in many Delaware residents who suffer a stroke. The emotional sequelae of stroke are under-treated. It is critical for healthcare professionals to be trained to recognize, assess, and treat the psychological disorders that can result from having a stroke. This article provides an overview of the major psychological effects of stroke, recommended assessment tools, promising treatment trends, and directions for further research. Improving our ability to detect and treat these difficult emotional challenges can facilitate effective treatment and prevention strategies and increase quality of life for stroke survivors, their loved ones, and their communities.
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Affiliation(s)
- Nancy Devereux
- Clinical Neuropsychologist, ChristianaCare; Delaware Stroke System of Care Subcommittee
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Elser H, Caunca M, Rehkopf DH, Andres W, Gottesman RF, Kasner SE, Yaffe K, Schneider ALC. Trends and inequities in the diagnosis and treatment of poststroke depression: a retrospective cohort study of privately insured patients in the USA, 2003-2020. J Neurol Neurosurg Psychiatry 2023; 94:220-226. [PMID: 36400454 PMCID: PMC9931658 DOI: 10.1136/jnnp-2022-330179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Depression is a common neuropsychiatric consequence of stroke, but there is little empiric evidence regarding clinical diagnosis and management of poststroke depression. METHODS Retrospective cohort study among 831 471 privately insured patients with first stroke in the USA from 2003 to 2020. We identified diagnoses of poststroke depression using codes from the International Classification of Diseases. We identified treatment based on prescriptions for antidepressants. We used Cox proportional hazards regression analysis to examine rates of poststroke depression diagnosis by gender, age and race/ethnicity. Among individuals who received a diagnosis of poststroke depression, we estimated treatment rates by gender, race/ethnicity and age using negative binomial regression analysis. RESULTS Annual diagnosis and treatment rates for poststroke depression increased from 2003 to 2020 (both p for trend<0.001). Diagnosis rates were higher in women than men (HR 1.53, 95% CI 1.51 to 1.55), lower among members of racial/ethnic minorities (vs white patients: Asian HR 0.63, 95% CI 0.60 to 0.66; Black HR 0.76, 95% CI 0.74 to 0.78; Hispanic HR 0.88, 95% CI 0.86 to 0.90) and varied by age. Among individuals diagnosed with poststroke depression, 69.8% were prescribed an antidepressant. Rates of treatment were higher in women vs men (rate ratio, RR=1.19, 95% CI: 1.17 to 1.21), lower among members of racial/ethnic minorities (vs white patients: Asian RR 0.85, 95% CI 0.80 to 0.90; Black RR 0.92, 95% CI 0.89 to 0.94; Hispanic RR 0.96, 95% CI 0.93 to 0.99) and higher among older patients. CONCLUSIONS In this insured population, we identify potential inequities in clinical management of poststroke depression by gender, race/ethnicity and age that may reflect barriers other than access to healthcare.
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Affiliation(s)
- Holly Elser
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA .,Center for Population Health Sciences, Stanford University, Stanford, California, USA
| | - Michelle Caunca
- Department of Neurology, University of California, San Francisco, California, USA
| | - David H Rehkopf
- 4. Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Wells Andres
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
| | - Scott E Kasner
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, California, USA
| | - Andrea L C Schneider
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Skajaa N, Adelborg K, Horváth-Puhó E, Rothman KJ, Henderson VW, Thygesen LC, Sørensen HT. Labour market participation and retirement after stroke in Denmark: registry based cohort study. BMJ 2023; 380:e072308. [PMID: 36596583 PMCID: PMC9809469 DOI: 10.1136/bmj-2022-072308] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To examine labour market participation and retirement among patients with stroke and matched people in the general population according to stroke subtype. DESIGN Nationwide, population based, matched cohort study. SETTING Danish Stroke Registry, covering all Danish hospitals, and other nationwide registries (2005-18). PARTICIPANTS Patients (aged 18-60 years and active in the labour market) with a first time diagnosis of ischaemic stroke (n=16 577), intracerebral haemorrhage (n=2025), or subarachnoid haemorrhage (n=4305), and individuals from the general population, matched on age, sex, and calendar year (n=134 428). The median Scandinavian stroke scale score was 55. MAIN OUTCOME MEASURES Unweighted prevalences of labour market participation, receipt of sick leave benefits, receipt of disability pension, voluntary early retirement, state pension, and death were computed for each week and up to five years after stroke diagnosis. A log-linear Poisson model was used to obtain exact prevalence estimates as well as propensity score weighted prevalence differences and prevalence ratios at six months, one year, two years, and five years after stroke diagnosis. RESULTS Most patients (62% of those with ischaemic stroke, 69% of those with intracerebral haemorrhage, and 52% of those with subarachnoid haemorrhage) went on sick leave within three weeks of diagnosis. Prevalence of labour market participation among patients with ischaemic stroke compared with matched individuals from the general population was 56.6% versus 96.6% at six months, and 63.9% versus 91.6% at two years. Prevalence of sick leave was 39.8% versus 2.6% at six months, and 15.8% versus 3.8% at two years. Prevalence of receipt of a disability pension was 0.9% versus 0.2% at six months, and 12.2% versus 0.6% at two years. Adjusting for socioeconomic and comorbidity differences between patients and matched individuals from the general population using propensity score weighting methods had little impact on contrasts. Patients with intracerebral haemorrhage had higher prevalences of sick leave and receipt of a disability pension and thus a lower prevalence of labour market participation, while prevalences for patients with subarachnoid haemorrhage were similar in magnitude to those for patients with ischaemic stroke. CONCLUSIONS In a highly resourced country, about two thirds of working age adults with ischaemic stroke of primarily mild severity participated in the labour market two years after diagnosis. Sick leave and receipt of a disability pension were the most common reasons for non-participation. Patients with intracerebral haemorrhage were less likely to return to the labour market than patients with ischaemic stroke and subarachnoid haemorrhage.
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Affiliation(s)
- Nils Skajaa
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Kasper Adelborg
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Biochemistry, Thrombosis and Haemostasis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Erzsébet Horváth-Puhó
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Kenneth J Rothman
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- RTI Health Solutions, Research Triangle Institute, Research Triangle Park, NC, USA
| | - Victor W Henderson
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lau Caspar Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
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Huang X, Wang D, Zhang Q, Ma Y, Zhao H, Li S, Deng J, Ren J, Yang J, Zhao Z, Xu M, Zhou Q, Zhou J. Radiomics for prediction of intracerebral hemorrhage outcomes: A retrospective multicenter study. Neuroimage Clin 2022; 36:103242. [PMID: 36279754 PMCID: PMC9668657 DOI: 10.1016/j.nicl.2022.103242] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/15/2022] [Accepted: 10/18/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Accurate risk stratification of patients with intracerebral hemorrhage (ICH) could help refine adjuvant therapy selection and better understand the clinical course. We aimed to evaluate the value of radiomics features from hematomal and perihematomal edema areas for prognosis prediction and to develop a model combining clinical and radiomic features for accurate outcome prediction of patients with ICH. METHODS This multicenter study enrolled patients with ICH from January 2016 to November 2021. Their outcomes at 3 months were recorded based on the modified Rankin Scale (good, 0-3; poor, 4-6). Independent clinical and radiomic risk factors for poor outcome were identified through multivariate logistic regression analysis, and predictive models were developed. Model performance and clinical utility were evaluated in both internal and external cohorts. RESULTS Among the 1098 ICH patients evaluated (mean age, 60 ± 13 years), 703 (64 %) had poor outcomes. Age, hemorrhage volume and location, and Glasgow Coma Scale (GCS) were independently associated with outcomes. The area under the receiver operating characteristic curve (AUC) of the clinical model was 0.881 in the external validation cohort. Addition of the Rad-score (combined hematoma and perihematomal edema area) improved predictive accuracy and model performance (AUC, 0.893), net reclassification improvement, 0.140 (P < 0.001), and integrated discrimination improvement, 0.050 (P < 0.001). CONCLUSIONS The radiomics features of hematomal and perihematomal edema area have additional value in prognostic prediction; moreover, addition of radiomic features significantly improves model accuracy.
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Affiliation(s)
- Xiaoyu Huang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Dan Wang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Qiaoying Zhang
- Department of Radiology, Xi'an Central Hospital, Xi An 710000, China
| | - Yaqiong Ma
- Second Clinical School, Lanzhou University, Lanzhou 730030, China; Department of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China
| | - Hui Zhao
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | | | - Jingjing Yang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Zhiyong Zhao
- Department of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China
| | - Min Xu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Qing Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China; Department of Neurosurgery, Lanzhou University Second Hospital Lanzhou 730030, China.
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10
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Mennander AA. Is mood associated with perception of recovery? Preoperative depression versus postoperative delirium after cardiac surgery. Interact Cardiovasc Thorac Surg 2022; 35:6682822. [PMID: 36048891 PMCID: PMC9492157 DOI: 10.1093/icvts/ivac229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 08/30/2022] [Indexed: 11/19/2022] Open
Abstract
The author alone is responsible for the Invited Commentary, which does not necessarily reflect the policy of the Journal.
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Affiliation(s)
- Ari A Mennander
- Tampere University Heart Hospital, Tampere University , Tampere, Finland
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11
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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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