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Nguyen MTH, Sakamoto Y, Maeda T, Woodward M, Anderson CS, Catiwa J, Yazidjoglou A, Carcel C, Yang M, Wang X. Influence of Socioeconomic Status on Functional Outcomes After Stroke: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2024; 13:e033078. [PMID: 38639361 PMCID: PMC11179939 DOI: 10.1161/jaha.123.033078] [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: 11/29/2023] [Accepted: 03/06/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND This review aimed to quantify the impact of socioeconomic status on functional outcomes from stroke and identify the socioeconomic status indicators that exhibit the highest magnitude of association. METHODS AND RESULTS We performed a systematic literature search across Medline and Embase from inception to May 2022, to identify observational studies (n≥100, and in English). Risk of bias was assessed using the modified Newcastle Ottawa Scale. Random effects meta-analysis was used to pool data. We included 19 studies (157 715 patients, 47.7% women) reporting functional outcomes measured with modified Rankin Scale or Barthel index, with 10 assessed as low risk of bias. Measures of socioeconomic status reported were education (11 studies), income (8), occupation (4), health insurance status (3), and neighborhood socioeconomic deprivation (3). Pooled data suggested that low socioeconomic status was significantly associated with poor functional outcomes, including incomplete education or below high school level versus high school attainment and above (odds ratio [OR], 1.66 [95% CI, 1.40-1.95]), lowest income versus highest income (OR, 1.36 [95% CI, 1.02-1.83]), a manual job/being unemployed versus a nonmanual job/working (OR, 1.62 [95% CI, 1.29-2.02]), and living in the most disadvantaged socioeconomic neighborhood versus the least disadvantaged (OR, 1.55 [95% CI, 1.25-1.92]). Low health insurance status was also associated with an increased risk of poor functional outcomes (OR, 1.32 [95% CI, 0.95-1.84]), although this was association was not statistically significant. CONCLUSIONS Despite great strides in stroke treatment in the past decades, social disadvantage remains a risk factor for poor functional outcome after an acute stroke. Further research is needed to better understand causal mechanisms and disparities.
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Affiliation(s)
- Mai T. H. Nguyen
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
- Centre of Epidemiology for Policy and Practice, National Centre for Epidemiology and Population HealthAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Yuki Sakamoto
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
- Department of NeurologyGraduate School of Medicine, Nippon Medical SchoolTokyoJapan
| | - Toshiki Maeda
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
- Department of Preventive Medicine and Public Health, Faculty of MedicineFukuoka UniversityFukuokaJapan
| | - Mark Woodward
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
- The George Institute for Global Health, School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Craig S. Anderson
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
- Prince of Wales Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
- The George Institute ChinaRegistered Office of The George Institute for Global Health AustraliaBeijingChina
| | - Jayson Catiwa
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
| | - Amelia Yazidjoglou
- Centre of Epidemiology for Policy and Practice, National Centre for Epidemiology and Population HealthAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Cheryl Carcel
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
| | - Min Yang
- Department of NeurologyFirst Affiliated Hospital of Chengdu Medical CollegeChengduChina
| | - Xia Wang
- The George Institute for Global Health, The University of New South WalesSydneyNew South WalesAustralia
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Terrell J, Campbell JA, Thorgerson A, Bhandari S, Egede LE. Understanding the relationship between social risk factors and functional limitation among stroke survivors in the US. J Stroke Cerebrovasc Dis 2024; 33:107583. [PMID: 38242184 PMCID: PMC10939811 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/08/2024] [Accepted: 01/15/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Stroke is the fifth leading cause of death and disability in the United States. Social risk factors contribute to recovery from stroke, however the relationship between social risk factors and functional limitation among stroke survivors remains unknown. METHODS Data on 2,888 adults with stroke from the National Health Interview Survey from 2016-2018 was analyzed. The primary independent variables included six social risk factors: economic instability, lack of community, educational deficit, food insecurity, social isolation, and inadequate access to care. The outcome measure was functional limitation count. Negative binomial regression models were run to test the relationship between the independent and dependent variables adjusting for covariates. RESULTS Overall, 56% of the study participants were aged 65+, 70% were Non-Hispanic White, and 95% had at least one comorbidity. The mean functional limitation count was 1.8. In the unadjusted model, each social risk factor was significantly associated with functional limitation. In the fully adjusted model, significant association with functional limitation was found in individuals reporting economic instability (Incidence rate ratio [IRR] 1.65, 95% CI 1.33, 2.06), food insecurity (IRR 1.28, 95% CI 1.15, 1.42), and social isolation (IRR 1.64, 95% CI 1.48, 1.82). CONCLUSIONS Social risk factors such as economic instability, food insecurity and social isolation are significantly associated with functional limitation in adults with stroke. Interventions designed to address both social and medical needs have the potential to improve physical functioning and other clinical outcomes in stroke survivors.
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Affiliation(s)
- Jennifer Terrell
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jennifer A Campbell
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA; Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Abigail Thorgerson
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Sanjay Bhandari
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA; Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Leonard E Egede
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA; Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
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Monov D, Pashanova O. Experimental Substantiation of the Use of Phenibut Combinations with Salicylic, Nicotinic, and Glutamic Acids in Cerebral Ischemia. Neurocrit Care 2023; 39:464-477. [PMID: 37100977 DOI: 10.1007/s12028-023-01719-z] [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: 09/26/2022] [Accepted: 03/24/2023] [Indexed: 04/28/2023]
Abstract
BACKGROUND One of the possible ways to increase the effectiveness of drugs based on gamma-aminobutyric acid derivatives is to introduce biologically active acids into their structure. In this regard, the compositions of phenibut with organic acids, which have a more pronounced psychotropic activity, low toxicity, and good tolerability, are of interest. The purpose of this study is to experimentally substantiate the use of phenibut combinations with organic acids in various forms of cerebral ischemia. METHODS The study was performed on 1210 male Wistar rats weighing 180-220 g each. The cerebroprotective activities of phenibut combinations with salicylic acid (2:1, doses of 15, 30, and 45 mg/kg), nicotinic acid (2:1, doses of 25, 50, and 75 mg/kg), and glutamic acid (2:1, doses of 25, 50, and 75 mg/kg) have been studied. The study involved a single prophylactic administration of phenibut combinations with organic acids and a 7 days course of the combination treatment administered at doses that proved the most effective according to the results of a single prophylactic administration. The rate of local cerebral blood flow and the vasodilating function of cerebral endothelium were measured, and the researchers evaluated the effects of the studied phenibut combinations on biochemical parameters in rats with focal ischemia. RESULTS Compositions of phenibut with salicylic, nicotinic, and glutamic acids in subtotal and transient cerebral ischemia were found to have the most pronounced cerebroprotective effect in doses of 30, 50 and 50 mg/kg, respectively. Under reversible 10 min occlusion of the common carotid arteries, prophylactic administration of the studied phenibut compositions prevented a decrease in cerebral blood flow during ischemia and reduced the severity of postischemic hypoperfusion and hyperperfusion. At a course of 7 days of therapeutic administration of compounds, their pronounced cerebroprotective effect was observed. CONCLUSIONS The data obtained can be considered as promising the pharmacological search in this series of substances for the treatment of patients with cerebrovascular disease.
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Affiliation(s)
- Dimitar Monov
- Department of Anesthesiology and Intensive Care, Medical University Sofia, Zdrave 2A Str., 1407, Sofia, Bulgaria.
| | - Olga Pashanova
- Department of Organization and Economics of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
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Potter TBH, Tannous J, Pan AP, Bako A, Johnson C, Baig E, Kelly H, McCane CD, Garg T, Gadhia R, Misra V, Volpi J, Britz G, Chiu D, Vahidy FS. Stroke severity mediates the effect of socioeconomic disadvantage on poor outcomes among patients with intracerebral hemorrhage. Front Neurol 2023; 14:1176924. [PMID: 37384280 PMCID: PMC10293742 DOI: 10.3389/fneur.2023.1176924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/08/2023] [Indexed: 06/30/2023] Open
Abstract
Background Socioeconomic deprivation drives poor functional outcomes after intracerebral hemorrhage (ICH). Stroke severity and background cerebral small vessel disease (CSVD) burden have each been linked to socioeconomic status and independently contribute to worse outcomes after ICH, providing distinct, plausible pathways for the effects of deprivation. We investigate whether admission stroke severity or cerebral small vessel disease (CSVD) mediates the effect of socioeconomic deprivation on 90-day functional outcomes. Methods Electronic medical record data, including demographics, treatments, comorbidities, and physiological data, were analyzed. CSVD burden was graded from 0 to 4, with severe CSVD categorized as ≥3. High deprivation was assessed for patients in the top 30% of state-level area deprivation index scores. Severe disability or death was defined as a 90-day modified Rankin Scale score of 4-6. Stroke severity (NIH stroke scale (NIHSS)) was classified as: none (0), minor (1-4), moderate (5-15), moderate-severe (16-20), and severe (21+). Univariate and multivariate associations with severe disability or death were determined, with mediation evaluated through structural equation modelling. Results A total of 677 patients were included (46.8% female; 43.9% White, 27.0% Black, 20.7% Hispanic, 6.1% Asian, 2.4% Other). In univariable modelling, high deprivation (odds ratio: 1.54; 95% confidence interval: [1.06-2.23]; p = 0.024), severe CSVD (2.14 [1.42-3.21]; p < 0.001), moderate (8.03 [2.76-17.15]; p < 0.001), moderate-severe (32.79 [11.52-93.29]; p < 0.001), and severe stroke (104.19 [37.66-288.12]; p < 0.001) were associated with severe disability or death. In multivariable modelling, severe CSVD (3.42 [1.75-6.69]; p < 0.001) and moderate (5.84 [2.27-15.01], p < 0.001), moderate-severe (27.59 [7.34-103.69], p < 0.001), and severe stroke (36.41 [9.90-133.85]; p < 0.001) independently increased odds of severe disability or death; high deprivation did not. Stroke severity mediated 94.1% of deprivation's effect on severe disability or death (p = 0.005), while CSVD accounted for 4.9% (p = 0.524). Conclusion CSVD contributed to poor functional outcome independent of socioeconomic deprivation, while stroke severity mediated the effects of deprivation. Improving awareness and trust among disadvantaged communities may reduce admission stroke severity and improve outcomes.
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Affiliation(s)
| | - Jonika Tannous
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Alan P. Pan
- Center for Health Data Science and Analytics, Houston Methodist, Houston, TX, United States
| | - Abdulaziz Bako
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Carnayla Johnson
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Eman Baig
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Hannah Kelly
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
| | - Charles D. McCane
- Department of Neurology, Houston Methodist, Houston, TX, United States
| | - Tanu Garg
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Rajan Gadhia
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Vivek Misra
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - John Volpi
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Gavin Britz
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
- Department of Neurological Surgery, Houston Methodist Neurological Institute, Houston Methodist, Houston, TX, United States
| | - David Chiu
- Department of Neurology, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
| | - Farhaan S. Vahidy
- Department of Neurosurgery, Houston Methodist, Houston, TX, United States
- Center for Health Data Science and Analytics, Houston Methodist, Houston, TX, United States
- Department of Neurology, Weill Cornell Medicine, White Plains, NY, United States
- Department of Neurology, Houston Methodist Academic Institute, Houston Methodist, Houston, TX, United States
- Department of Neurological Surgery, Houston Methodist Neurological Institute, Houston Methodist, Houston, TX, United States
- Department of Population Health Sciences, Weill Cornell Medicine, White Plains, NY, United States
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Lusk JB, Hoffman MN, Clark AG, Bae J, Luedke MW, Hammill BG. Association Between Neighborhood Socioeconomic Status and 30-Day Mortality and Readmission for Patients With Common Neurologic Conditions. Neurology 2023; 100:e1776-e1786. [PMID: 36792379 PMCID: PMC10136022 DOI: 10.1212/wnl.0000000000207094] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 01/10/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Patients of low individual socioeconomic status (SES) are at a greater risk of unfavorable health outcomes. However, the association between neighborhood socioeconomic deprivation and health outcomes for patients with neurologic disorders has not been studied at the population level. Our objective was to determine the association between neighborhood socioeconomic deprivation and 30-day mortality and readmission after hospitalization for various neurologic conditions. METHODS This was a retrospective study of nationwide Medicare claims from 2017 to 2019. We included patients older than 65 years hospitalized for the following broad categories based on diagnosis-related groups (DRGs): multiple sclerosis and cerebellar ataxia (DRG 058-060); stroke (061-072); degenerative nervous system disorders (056-057); epilepsy (100-101); traumatic coma (082-087), and nontraumatic coma (080-081). The exposure of interest was neighborhood SES, measured by the area deprivation index (ADI), which uses socioeconomic indicators, such as educational attainment, unemployment, infrastructure access, and income, to estimate area-level socioeconomic deprivation at the level of census block groups. Patients were grouped into high, middle, and low neighborhood-level SES based on ADI percentiles. Adjustment covariates included age, comorbidity burden, race/ethnicity, individual SES, and sex. RESULTS After exclusions, 905,784 patients were included in the mortality analysis and 915,993 were included in the readmission analysis. After adjustment for age, sex, race/ethnicity, comorbidity burden, and individual SES, patients from low SES neighborhoods had higher 30-day mortality rates compared with patients from high SES neighborhoods for all disease categories except for multiple sclerosis: magnitudes of the effect ranged from an adjusted odds ratio of 2.46 (95% CI 1.60-3.78) for the nontraumatic coma group to 1.23 (95% CI 1.19-1.28) for the stroke group. After adjustment, no significant differences in readmission rates were observed for any of the groups. DISCUSSION Neighborhood SES is strongly associated with 30-day mortality for many common neurologic conditions even after accounting for baseline comorbidity burden and individual SES. Strategies to improve health equity should explicitly consider the effect of neighborhood environments on health outcomes.
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Affiliation(s)
- Jay B Lusk
- From the Duke University School of Medicine (J.B.L., B.G.H.); Duke University Fuqua School of Business (J.B.L.); Duke University Department of Population Health Sciences (M.N.H., A.G.C., B.G.H.); Duke University Health System (J.B.); Duke University Department of Medicine (J.B.); and Duke University Department of Neurology (M.W.L.), Durham, NC
| | - Molly N Hoffman
- From the Duke University School of Medicine (J.B.L., B.G.H.); Duke University Fuqua School of Business (J.B.L.); Duke University Department of Population Health Sciences (M.N.H., A.G.C., B.G.H.); Duke University Health System (J.B.); Duke University Department of Medicine (J.B.); and Duke University Department of Neurology (M.W.L.), Durham, NC
| | - Amy G Clark
- From the Duke University School of Medicine (J.B.L., B.G.H.); Duke University Fuqua School of Business (J.B.L.); Duke University Department of Population Health Sciences (M.N.H., A.G.C., B.G.H.); Duke University Health System (J.B.); Duke University Department of Medicine (J.B.); and Duke University Department of Neurology (M.W.L.), Durham, NC
| | - Jonathan Bae
- From the Duke University School of Medicine (J.B.L., B.G.H.); Duke University Fuqua School of Business (J.B.L.); Duke University Department of Population Health Sciences (M.N.H., A.G.C., B.G.H.); Duke University Health System (J.B.); Duke University Department of Medicine (J.B.); and Duke University Department of Neurology (M.W.L.), Durham, NC
| | - Matthew W Luedke
- From the Duke University School of Medicine (J.B.L., B.G.H.); Duke University Fuqua School of Business (J.B.L.); Duke University Department of Population Health Sciences (M.N.H., A.G.C., B.G.H.); Duke University Health System (J.B.); Duke University Department of Medicine (J.B.); and Duke University Department of Neurology (M.W.L.), Durham, NC
| | - Bradley G Hammill
- From the Duke University School of Medicine (J.B.L., B.G.H.); Duke University Fuqua School of Business (J.B.L.); Duke University Department of Population Health Sciences (M.N.H., A.G.C., B.G.H.); Duke University Health System (J.B.); Duke University Department of Medicine (J.B.); and Duke University Department of Neurology (M.W.L.), Durham, NC.
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Onishchenko R, Clarke PJ, Marshall C, Wyant KJ, Kotagal V. Neighborhood Social Determinants of Health in Patients Seen in Neurology Movement Disorders Clinics. Neurol Clin Pract 2023; 13:e200142. [PMID: 37064586 PMCID: PMC10101706 DOI: 10.1212/cpj.0000000000200142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/12/2022] [Indexed: 03/18/2023]
Abstract
Background and Objectives Chronic health conditions are influenced by social determinants of health (SDH) including neighborhood-linked markers of affluence. We explored whether neighborhood socioeconomic factors differ in people with different types of clinical movement disorders (MDs). Methods We conducted a retrospective study of patients seen in MD clinics at our center in 2021. Patient data were linked to the US National Neighborhood Data Archive linked to US census tract data. We evaluated variations in neighborhood socioeconomic factors across 8 different categories of MDs. Results Compared with the neighborhoods of patients with Parkinson disease, neighborhoods of patients with cerebellar ataxias, functional movement disorders, and Huntington disease were characterized by higher proportions of people earning less than 15,000 US dollars/year, people receiving public assistance, and people with less than a high school diploma. Discussion Neighborhood-linked SDH vary among different MDs. These findings have implications for public health interventions aimed at improving the care of people affected by MDs.
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Affiliation(s)
- Regina Onishchenko
- Department of Neurology (RO, CM, KJW, VK), Institute for Social Research (PJC), University of Michigan; Department of Epidemiology (PJC), University of Michigan School of Public Health; and Veterans Affairs Ann Arbor Health System (VAAAHS) & VAAAHS Geriatric Research Education and Clinical Center (GRECC) (VK), Ann Arbor, MI
| | - Philippa J Clarke
- Department of Neurology (RO, CM, KJW, VK), Institute for Social Research (PJC), University of Michigan; Department of Epidemiology (PJC), University of Michigan School of Public Health; and Veterans Affairs Ann Arbor Health System (VAAAHS) & VAAAHS Geriatric Research Education and Clinical Center (GRECC) (VK), Ann Arbor, MI
| | - Carly Marshall
- Department of Neurology (RO, CM, KJW, VK), Institute for Social Research (PJC), University of Michigan; Department of Epidemiology (PJC), University of Michigan School of Public Health; and Veterans Affairs Ann Arbor Health System (VAAAHS) & VAAAHS Geriatric Research Education and Clinical Center (GRECC) (VK), Ann Arbor, MI
| | - Kara J Wyant
- Department of Neurology (RO, CM, KJW, VK), Institute for Social Research (PJC), University of Michigan; Department of Epidemiology (PJC), University of Michigan School of Public Health; and Veterans Affairs Ann Arbor Health System (VAAAHS) & VAAAHS Geriatric Research Education and Clinical Center (GRECC) (VK), Ann Arbor, MI
| | - Vikas Kotagal
- Department of Neurology (RO, CM, KJW, VK), Institute for Social Research (PJC), University of Michigan; Department of Epidemiology (PJC), University of Michigan School of Public Health; and Veterans Affairs Ann Arbor Health System (VAAAHS) & VAAAHS Geriatric Research Education and Clinical Center (GRECC) (VK), Ann Arbor, MI
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Conic RRZ, Geis C, Vincent HK. Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision. Front Public Health 2021; 9:738253. [PMID: 34858922 PMCID: PMC8632538 DOI: 10.3389/fpubh.2021.738253] [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: 07/08/2021] [Accepted: 10/11/2021] [Indexed: 11/15/2022] Open
Abstract
Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therapeutic process and patient functional outcomes. Big data and precision medicine have been used in other fields and to some extent in physiatry to predict patient outcomes, however many challenges remain. The interplay between SDH and physiatry outcomes is highly variable depending on different phases of care, and more favorable patient profiles in acute care may be less favorable in the outpatient setting. Furthermore, SDH influence which treatments or interventional procedures are accessible to the patient and thus determine outcomes. This opinion paper describes utility of existing datasets in combination with novel data such as movement, gait patterning and patient perceived outcomes could be analyzed with artificial intelligence methods to determine the best treatment plan for individual patients in order to achieve maximal functional capacity.
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Affiliation(s)
- Rosalynn R Z Conic
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States
| | - Carolyn Geis
- Department of Physical Medicine and Rehabilitation, University of Florida, Gainesville, FL, United States
| | - Heather K Vincent
- Department of Physical Medicine and Rehabilitation, University of Florida, Gainesville, FL, United States
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Williams-Cooke C, Watts E, Bonnett J, Alshehri M, Siengsukon C. Association Between Sleep Duration and Functional Disability in Inpatient Stroke Rehabilitation: A Pilot Observational Study. Arch Rehabil Res Clin Transl 2021; 3:100150. [PMID: 34589700 PMCID: PMC8463457 DOI: 10.1016/j.arrct.2021.100150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Objective To describe the change in sleep duration during inpatient rehabilitation and to determine if sleep quality and sleep duration is associated with functional disability for individuals after stroke. It was hypothesized that participants who experienced optimal sleep during inpatient rehabilitation would have greater functional ability at discharge. Design Longitudinal observation study. Setting Inpatient rehabilitation unit at a large, urban hospital. Participants Thirty-seven individuals with acute stroke (N=37; mean age, 62.5±11.8y, male=20, female=17) were recruited from September 2018 to September 2019. Participants were invited to participate in the study by clinical personnel associated with their usual care as they were admitted to inpatient rehabilitation. Interventions Not applicable. Main Outcome Measures Participants were asked to wear an actigraph for the duration of their rehabilitation program to assess sleep. The first 3 nights of actigraphy data were averaged to obtain total sleep time (TST) and sleep efficiency (SE) at admission, and the last 3 nights were averaged for TST and SE at discharge. Functional disability (primary outcome was FIM) at admission and discharge was gathered from the participants’ medical records. One-way analysis of variance and chi-square analyses assessed for group differences, and regression modeling was used to determine if sleep was associated with functional ability at discharge. Results Sixteen participants (43%) were categorized as “good sleepers” and 21 (57%) were “poor sleepers” based on their TST at admission. Of the poor sleepers, 14 participants (66%) remained short duration sleepers (<7h at admission and discharge). Sleep outcomes did not significantly predict FIM score at discharge. Conclusions Most participants had less than optimal sleep duration during inpatient rehabilitation. Efforts may be warranted to optimize sleep during inpatient rehabilitation.
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Affiliation(s)
- Cierra Williams-Cooke
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS
| | - Elise Watts
- Rehabilitation Department, St. Luke's Hospital, Kansas City, MO
| | | | - Mohammed Alshehri
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS
| | - Catherine Siengsukon
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS
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Zang Y, Zhu Z, Shi M, Wang A, Xie X, Xu T, Peng Y, Yang P, Li Q, Ju Z, Geng D, Chen J, Liu L, Zhang Y, He J. Association between annual household income and adverse outcomes in patients who had ischaemic stroke. J Epidemiol Community Health 2021; 76:293-300. [PMID: 34493532 DOI: 10.1136/jech-2021-216481] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 08/08/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND PURPOSE The association between annual household income and prognosis of ischaemic stroke remains debatable. We aimed to prospectively investigate the relationship between annual household income and prognosis at 3 months after ischaemic stroke. METHODS We included 3975 participants from the China Antihypertensive Trial in Acute Ischemic Stroke. All participants were categorised into three groups according to annual household income per capita: <¥10 000 (Chinese Yuan Renminbi (RMB)), ¥10 000-19 999 and ≥¥20 000. The primary outcome was a composite outcome of death and major disability (modified Rankin Scale score ≥3) at 3 months after stroke onset, and secondary outcomes included major disability, death, and vascular events. A meta-analysis was conducted to incorporate the results of the current study and previous studies on the association of income level with outcomes after stroke. RESULTS Within 3 months after ischaemic stroke, 1002 participants (25.20%) experienced primary outcome (880 major disabilities and 122 deaths). After multivariate adjustment, low annual household income level was associated with increased risk of the primary outcome (OR 1.60; 95% CI: 1.12 to 2.31; Ptrend=0.034) when two extreme groups were compared. The meta-analysis confirmed the significant association between income level and death or major disability after stroke (pooled relative risk for lowest vs highest income level, 1.31 (95% CI: 1.18 to 1.45)). CONCLUSIONS Low annual household income per capita was significantly associated with increased risks of adverse clinical outcomes at 3 months after ischaemic stroke, independently of established risk factors. Further studies from other samples are needed to replicate our findings due to a reason for excluding some patients who had a severe stroke in this study. TRIAL REGISTRATION NUMBER ClinicalTrials.gov (http://wwwclinicaltrialsgov) Registry (NCT01840072).
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Affiliation(s)
- Yuhan Zang
- Department of Epidemiology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Zhengbao Zhu
- Department of Epidemiology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Mengyao Shi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Aili Wang
- Department of Epidemiology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Xuewei Xie
- Department of Neurology, Capital Medical University, Beijing, China
| | - Tan Xu
- Department of Epidemiology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Yanbo Peng
- Department of Neurology, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei, China
| | - Pinni Yang
- Department of Epidemiology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Qunwei Li
- Department of Epidemiology, Shandong First Medical University, Jinan, China
| | - Zhong Ju
- Department of Neurology, Kerqin District First People's Hospital of Tongliao City, Inner Mongolia, China
| | - Deqin Geng
- Department of Neurology, Xuzhou Medical College Affiliated Hospital, Xuzhou, Jiangsu, China
| | - Jing Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Liping Liu
- Department of Neurology, Capital Medical University, Beijing, China
| | - Yonghong Zhang
- Department of Epidemiology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
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10
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Watkins KE, Levack WMM, Rathore FA, Hay-Smith EJC. What would 'upscaling' involve? A qualitative study of international variation in stroke rehabilitation. BMC Health Serv Res 2021; 21:399. [PMID: 33926440 PMCID: PMC8082958 DOI: 10.1186/s12913-021-06293-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 03/18/2021] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Demand for stroke rehabilitation is expected to grow dramatically; with the estimated prevalence of stroke survivors rising to 70 million worldwide by 2030. The World Health Organization's (WHO) report - Rehabilitation 2030: A call for action - has introduced the objective of 'upscaling' rehabilitation globally to meet demand. This research explored what upscaling stroke rehabilitation might mean for health professionals from countries at different stages of economic development. METHODS Qualitative descriptive study design using semi-structured interviews was employed. Purposively sampled, clinical leaders in stroke rehabilitation were recruited for interviews from low through to high-income countries. RESULTS Twelve rehabilitation professionals (medicine, physical therapy, occupational therapy, and speech and language therapy) from high (United States of America, Germany, United Kingdom, United Arab Emirates, New Zealand), upper-middle (Colombia and Turkey), lower-middle (Vietnam, Pakistan, Ghana), and low-income countries (Nepal and Sierra Leone) were interviewed. Upscaling was seen as a necessity. Successful scaling up will require initiatives addressing: political governance and managerial leadership, increasing knowledge and awareness of the value of rehabilitation, financial support, workforce developments, physical space and infrastructure, and the development of community services and reintegration. CONCLUSION Although there have been many gains within the development of stroke rehabilitation internationally, further investment is required to ensure that this patient population group continues to receive the best quality services. For the WHO to be successful in implementing their objective to upscale rehabilitation, specific attention will need to be paid to political, professional, economic, and sociocultural issues at global and local levels.
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Affiliation(s)
- Kimberley Elizabeth Watkins
- Department of Medicine, Rehabilitation Teaching and Research Unit, University of Otago, Mein St, Newtown, PO Box 7343, Wellington, 6242, New Zealand.
| | - William Mark Magnus Levack
- Department of Medicine, Rehabilitation Teaching and Research Unit, University of Otago, Mein St, Newtown, PO Box 7343, Wellington, 6242, New Zealand
| | - Farooq Azam Rathore
- Department of Rehabilitation Medicine PNS Shifa Hospital DHA-II, Karachi, Pakistan
| | - Elizabeth Jean Carleton Hay-Smith
- Department of Medicine, Rehabilitation Teaching and Research Unit, University of Otago, Mein St, Newtown, PO Box 7343, Wellington, 6242, New Zealand
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11
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Hu R, Wang X, Liu Z, Hou J, Liu Y, Tu J, Jia M, Liu Y, Zhou H. Stigma, depression, and post-traumatic growth among Chinese stroke survivors: A longitudinal study examining patterns and correlations. Top Stroke Rehabil 2020; 29:16-29. [PMID: 33371827 DOI: 10.1080/10749357.2020.1864965] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Background: With the development of positive psychology, several studies show that positive and negative emotions are not always opposing. Understanding how positive and negative emotions correlate and the factors contributing to resilience in stroke survivors requires further research.Objectives: To identify the patterns and correlations of stigma, depression, and posttraumatic growth (PTG) among stroke survivors.Methods: Stroke-related stigma, depression, PTG, and neurological status were evaluated at 1-month and 3 months post-stroke using the Stroke Stigma Scale (SSS), Patient Health Questionnaire-9 (PHQ-9), Chinese version of the Posttraumatic Growth Inventory (C-PTGI), modified Rankin Scale (mRS), and Social Support Rating Scale (SSRS). The paired t-test, nonparametric test, and Spearman's correlation test were used to analyze differences and relationships between results at the two time points.Results: At 3 months compared to 1-month post-stroke, we found significant reductions in mRS and stigma scores, and an increase in PTGI scores, while the PHQ-9 scores reduced non-significantly. SSS, PHQ-9, and mRS scores were positively correlated with each other at time1 (all P < .01), and all showed no significant relationships with PTGI scores (all P > .05). Social support scores were negatively correlated with stigma (P < .01), PHQ-9 (P < .01), and PTGI scores (P > .05) at 3 months.Conclusions: Stroke-related stigma is strongly associated with depression while neither of them has significant relationships with PTG during the early stage of survivors' rehabilitation in our study. Neurological impairment is a risk factor for negative emotions and increasing individualized support may reduce stigma, depression, and promote PTG in the long term.
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Affiliation(s)
- Ruidan Hu
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoyan Wang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhihong Liu
- Department of Neurology, Guangdong 999 Brain Hospital, Guangzhou, Guangdong, China
| | - Jiakun Hou
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Yangyang Liu
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Jinyi Tu
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Miao Jia
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Yue Liu
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Hongzhen Zhou
- Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
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12
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Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17093177. [PMID: 32370210 PMCID: PMC7246942 DOI: 10.3390/ijerph17093177] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 04/29/2020] [Accepted: 04/29/2020] [Indexed: 11/29/2022]
Abstract
Monitoring the real-life mobility of stroke patients could be extremely useful for clinicians. Step counters are a widely accessible, portable, and cheap technology that can be used to monitor patients in different environments. The aim of this study was to validate a low-cost commercial tri-axial accelerometer-based step counter for stroke patients and to determine the best positioning of the step counter (wrists, ankles, and waist). Ten healthy subjects and 43 post-stroke patients were enrolled and performed four validated clinical tests (10 m, 50 m, and 6 min walking tests and timed up and go tests) while wearing five step counters in different positions while a trained operator counted the number of steps executed in each test manually. Data from step counters and those collected manually were compared using the intraclass coefficient correlation and mean average percentage error. The Bland–Altman plot was also used to describe agreement between the two quantitative measurements (step counter vs. manual counting). During walking tests in healthy subjects, the best reliability was found for lower limbs and waist placement (intraclass coefficient correlations (ICCs) from 0.46 to 0.99), and weak reliability was observed for upper limb placement in every test (ICCs from 0.06 to 0.38). On the contrary, in post-stroke patients, moderate reliability was found only for the lower limbs in the 6 min walking test (healthy ankle ICC: 0.69; pathological ankle ICC: 0.70). Furthermore, the Bland–Altman plot highlighted large average discrepancies between methods for the pathological group. However, while the step counter was not able to reliably determine steps for slow patients, when applied to the healthy ankle of patients who walked faster than 0.8 m/s, it counted steps with excellent precision, similar to that seen in the healthy subjects (ICCs from 0.36 to 0.99). These findings show that a low-cost accelerometer-based step counter could be useful for measuring mobility in select high-performance patients and could be used in clinical and real-world settings.
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13
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Buie JNJ, Zhao Y, Burns S, Magwood G, Adams R, Sims-Robinson C, Lackland DT. Racial Disparities in Stroke Recovery Persistence in the Post-Acute Stroke Recovery Phase: Evidence from the Health and Retirement Study. Ethn Dis 2020; 30:339-348. [PMID: 32346280 PMCID: PMC7186057 DOI: 10.18865/ed.30.2.339] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background and Purpose Blacks have a higher burden of post-stroke disability. Factors associated with racial differences in long-term post-stroke disability are not well-understood. Our aim was to assess the long-term racial differences in risk factors associated with stroke recovery. Methods We examined Health and Retirement Study (HRS) longitudinal interview data collected from adults living with stroke who were aged >50 years during 2000-2014. Analysis of 1,002 first-time, non-Hispanic, Black (210) or White (792) stroke survivors with data on activities of daily living (ADL), fine motor skills (FMS) and gross motor skills (GMS) was conducted. Ordinal regression analysis was used to assess the impact of sex, race, household residents, household income, comorbidities, and the time since having a stroke on functional outcomes. Results Black stroke survivors were younger compared with Whites (69 ± 10.4 vs 75 ± 11.9). The majority (~65%) of Black stroke survivors were female compared with about 54% White female stroke survivors (P=.007). Black stroke survivors had more household residents (P<.001) and comorbidities (P<.001). Aging, being female, being Black and a longer time since stroke were associated with a higher odds of having increased difficulty in ADL, FMS and/or GMS. Comorbidities were associated with increased difficulty with GMS. Black race increased the impact of comorbidities on ADL and FMS in comparison with Whites. Conclusion Our data suggest that the effects of aging, sex and unique factors associated with race should be taken into consideration for future studies of post-stroke recovery and therapy.
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Affiliation(s)
- Joy N. J. Buie
- WISSDOM Center, Medical University of South Carolina, Charleston, SC
| | - Yujing Zhao
- Division of Infectious Diseases, Medical University of South Carolina, Charleston, SC
| | - Suzanne Burns
- WISSDOM Center, Medical University of South Carolina, Charleston, SC
- School of Occupational Therapy, Texas Women’s University, Denton, TX
| | - Gayenell Magwood
- WISSDOM Center, Medical University of South Carolina, Charleston, SC
- College of Nursing Medical University of South Carolina, Charleston, SC
| | - Robert Adams
- WISSDOM Center, Medical University of South Carolina, Charleston, SC
| | | | | | - WISSDOM Research Center Study Group
- WISSDOM Center, Medical University of South Carolina, Charleston, SC
- Division of Infectious Diseases, Medical University of South Carolina, Charleston, SC
- School of Occupational Therapy, Texas Women’s University, Denton, TX
- College of Nursing Medical University of South Carolina, Charleston, SC
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14
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Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for Stroke. J Stroke Cerebrovasc Dis 2020; 29:104746. [PMID: 32151479 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104746] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 01/03/2020] [Accepted: 02/06/2020] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Some clinical features of patients after stroke may be modifiable and used to predict outcomes. Identifying these features may allow for refining plans of care and informing estimates of posthospital service needs. The purpose of this study was to identify key factors that predict functional independence and living setting 3 months after rehabilitation hospital discharge by using a large comprehensive national data set of patients with stroke. METHODS The Uniform Data System for Medical Rehabilitation was queried for the records of patients with a diagnosis of stroke who were hospitalized for inpatient rehabilitation from 2005 through 2007. The system includes demographic, administrative, and clinical variables collected at rehabilitation admission, discharge, and 3-month follow-up. Primary outcome measures were the Functional Independence Measure score and living setting 3 months after rehabilitation hospital discharge. RESULTS The sample included 16,346 patients (80% white; 50% women; mean [SD] age, 70.3 [13.1] years; 97% ischemic stroke). The strongest predictors of Functional Independence Measure score and living setting at 3 months were those same factors at rehabilitation discharge, despite considering multiple other predictor variables including age, lesion laterality, initial neurologic impairment, and stroke-related comorbid conditions. CONCLUSIONS These data can inform clinicians, patients with stroke, and their families about what to expect in the months after hospital discharge. The predictive power of these factors, however, was modest, indicating that other factors may influence postacute outcomes. Future predictive modeling may benefit from the inclusion of educational status, socioeconomic factors, and brain imaging to improve predictive power.
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15
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Wang W, Wang Y, Zhao W, Zhong J, Wang Y, Chen X. Pharmacokinetics, pharmacodynamics, safety, tolerability, and mass balance of single and continuous intravenous infusion of SPT-07A in healthy volunteers. Eur J Clin Pharmacol 2020; 76:785-793. [PMID: 32147750 DOI: 10.1007/s00228-020-02851-x] [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: 12/18/2019] [Accepted: 02/26/2020] [Indexed: 11/30/2022]
Abstract
PURPOSE SPT-07A is an intravenous injection of (+)-2-borneol being developed for the treatment of acute ischemic stroke. This study aimed to investigate the pharmacokinetics, pharmacodynamics, safety, tolerability, and mass balance of SPT-07A after sequentially administered single and multiple infusions of SPT-07A at 10 mg, 20 mg, or 40 mg. METHODS This phase I, double-blind, randomized, placebo-controlled, dose-escalation study was conducted in 36 Chinese healthy volunteers. Each cohort enrolled 12 eligible subjects, who were 9:3 randomized to receive SPT-07A or matching placebo during the two study occasions, that is, an initial single-dose occasion followed by a 7-day multiple-dose occasion with a dosing interval of 12 h. Pharmacokinetic, pharmacodynamic assessments regarding effects on the central nervous system (CNS) were performed pre-dose and several times post-dose. Safety and tolerability were evaluated throughout the study for each cohort. RESULTS Following single intravenous (i.v.) administration of 10 mg to 40 mg SPT-07A, the plasma SPT-07A concentration reached its peak by the end of infusion. Thereafter, the plasma concentration declined in a multiphase exponential manner with an average terminal elimination half-life of 3.85 to 8.93 h. The exposure parameters of SPT-07A increased dose proportionally. Steady state of SPT-07A was reached after 12-hourly i.v. administrations for 4 days with minimal accumulations. No significant difference of change-from-baseline was observed in the pharmacodynamic measurements between each of the three SPT-07A-treated groups and the placebo group. A total of 41 adverse events (AEs) were reported in 77.8% subjects at 10 mg (7/9), 20 mg (7/9), and 40 mg (7/9), respectively. The AE incidence in placebo group was also 77.8% (7/9). All AEs were mild or moderate in severity and self-limited. SPT-07A was mainly excreted in human urine in glucuronic acid conjugate forms. The total urine recovery rate approximated 84.69% of the administered dose. CONCLUSIONS SPT-07A was safe and well tolerated after single and multiple intravenous administrations of SPT-07A in the range of 10 mg to 40 mg. SPT-07A presented linear pharmacokinetics in human. Based on plasma exposure, the doses of 10-40 mg twice daily resulted in exposure levels comparable with those obtained at doses demonstrating potential efficacy on AIS animal models and were thus recommended as therapeutic exploratory doses in the phase II clinical trial.
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Affiliation(s)
- Weicong Wang
- Clinical Trial Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
| | - Yan Wang
- Clinical Trial Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
| | - Weiwei Zhao
- Clinical Trial Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
| | - Jingbo Zhong
- Clinical Trial Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
| | - Yongjun Wang
- Clinical Trial Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Xia Chen
- Clinical Trial Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
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