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      In-Hospital and Post-Discharge Recovery after Acute Ischemic Stroke: a Nationwide Multicenter Stroke Registry-base Study

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          Abstract

          Background

          Using data from a large national stroke registry, we aimed to investigate the incidence and determinants of in-hospital and post-discharge recovery after acute ischemic stroke and the independence of their occurrence.

          Methods

          In-hospital recovery was defined as an improvement of 4 points or > 40% in the National Institutes of Health Stroke Scale (NIHSS) score from admission to discharge. Post-discharge recovery was defined as any improvement in the modified Rankin Scale (mRS) score from discharge to 3 months after stroke onset. Two analytic methods (multivariate and multivariable logistic regression) were applied to compare the effects of 18 known determinants of 3-month outcome and to verify whether in-hospital and post-discharge recovery occur independently.

          Results

          During 54 months, 11,088 patients with acute ischemic stroke meeting the eligibility criteria were identified. In-hospital and post-discharge recovery occurred in 36% and 33% of patients, respectively. Multivariate logistic regression with an equality test for odds ratios showed that 7 determinants (age, onset-to-admission time, NIHSS score at admission, blood glucose at admission, systolic blood pressure, smoking, recanalization therapy) had a differential effect on in-hospital and post-discharge recovery in the way of the opposite direction or of the same direction with different degree (all P values < 0.05). Both in-hospital and post-discharge recovery occurred in 12% of the study population and neither of them in 43%. The incidence of post-discharge recovery in those with in-hospital recovery was similar to that in those without (33.8% vs. 32.7%, respectively), but multivariable analysis showed that these 2 types of recovery occurred independently.

          Conclusion

          Our findings suggest that, in patients with acute ischemic stroke, in-hospital and post-discharge recovery may occur independently and largely in response to different factors.

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          Most cited references35

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          Sex differences in stroke: epidemiology, clinical presentation, medical care, and outcomes.

          Stroke has a greater effect on women than men because women have more events and are less likely to recover. Age-specific stroke rates are higher in men, but, because of their longer life expectancy and much higher incidence at older ages, women have more stroke events than men. With the exception of subarachnoid haemorrhage, there is little evidence of sex differences in stroke subtype or severity. Although several reports found that women are less likely to receive some in-hospital interventions, most differences disappear after age and comorbidities are accounted for. However, sex disparities persist in the use of thrombolytic treatment (with alteplase) and lipid testing. Functional outcomes and quality of life after stroke are consistently poorer in women, despite adjustment for baseline differences in age, prestroke function, and comorbidities. Here, we comprehensively review the epidemiology, clinical presentation, medical care, and outcomes of stroke in women.
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            Early prediction of outcome of activities of daily living after stroke: a systematic review.

            Knowledge about robust and unbiased factors that predict outcome of activities of daily living (ADL) is paramount in stroke management. This review investigates the methodological quality of prognostic studies in the early poststroke phase for final ADL to identify variables that are predictive or not predictive for outcome of ADL after stroke. PubMed, Ebsco/Cinahl and Embase were systematically searched for prognostic studies in which stroke patients were included ≤2 weeks after onset and final outcome of ADL was determined ≥3 months poststroke. Risk of bias scores were used to distinguish high- and low-quality studies and a qualitative synthesis was performed. Forty-eight of 8425 identified citations were included. The median risk of bias score was 17 out of 27 (range, 6-22) points. Most studies failed to report medical treatment applied, management of missing data, rationale for candidate determinants and outcome cut-offs, results of univariable analysis, and validation and performance of the model, making the predictive value of most determinants indistinct. Six high-quality studies showed strong evidence for baseline neurological status, upper limb paresis, and age as predictors for outcome of ADL. Gender and risk factors such as atrial fibrillation were unrelated to this outcome. Because of insufficient methodological quality of most prognostic studies, the predictive value of many clinical determinants for outcome of ADL remains unclear. Future cohort studies should focus on early prediction using simple models with good clinical performance to enhance application in stroke management and research.
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              Early risk of recurrence by subtype of ischemic stroke in population-based incidence studies.

              To study the early risk of recurrent stroke by etiologic subtype. The authors studied risk of recurrent stroke by etiologic subtype (Trial of ORG 10172 in Acute Stroke Treatment [TOAST] classification) in patients in two population-based studies: the Oxford Vascular Study and the Oxfordshire Community Stroke Project. A meta-analysis was performed with data from the only two other published studies reporting equivalent data. The four studies included 1,709 strokes with 30 recurrences at 7 days, 72 at 30 days, and 113 at 3 months. Recurrent stroke risk varied between subtypes (p < 0.001). Compared with other subtypes, patients with stroke due to large-artery atherosclerosis (LAA) had the highest odds of recurrence at 7 days (odds ratio [OR] = 3.3, 95% CI = 1.5 to 7.0), 30 days (OR = 2.9, 95% CI = 1.7 to 4.9), and 3 months (OR = 2.9, 95% CI = 1.9 to 4.5). Odds of recurrence at 30 days for other subtypes were cardioembolic (OR = 1.0, 95% CI = 0.6 to 1.7), undetermined (OR = 1.0, 95% CI = 0.6 to 1.6), and small-vessel stroke (OR = 0.2, 95% CI = 0.1 to 0.6). There was no significant heterogeneity between the studies. Although only 14% of strokes were associated with LAA, this subtype accounted for 37% of recurrences within 7 days. The risk of early recurrent stroke is highest in patients with LAA. This supports the need for urgent carotid imaging and prompt endarterectomy.
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                Author and article information

                Journal
                J Korean Med Sci
                J. Korean Med. Sci
                JKMS
                Journal of Korean Medical Science
                The Korean Academy of Medical Sciences
                1011-8934
                1598-6357
                26 August 2019
                23 September 2019
                : 34
                : 36
                : e240
                Affiliations
                [1 ]Department of Neurology, Hallym University College of Medicine, Chuncheon, Korea.
                [2 ]Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
                [3 ]Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea.
                [4 ]Department of Neurology, Hankook General Hospital, Jeju, Korea.
                [5 ]Department of Neurology, Inje University, Ilsan Paik Hospital, Ilsan, Korea.
                [6 ]Department of Neurology, Eulji University, Eulji General Hospital, Seoul, Korea.
                [7 ]Department of Neurology, Dong-A University Hospital, Busan, Korea.
                [8 ]Department of Neurology, Seoul Medical Center, Seoul, Korea.
                [9 ]Department of Neurology, Soonchunhyang University College of Medicine, Seoul, Korea.
                [10 ]Department of Neurology, Eulji University Hospital, Eulji University School of Medicine, Daejeon, Korea.
                [11 ]Department of Neurology, Yeungnam University Medical Center, Daegu, Korea.
                [12 ]Department of Neurology, Chonnam National University Hospital, Gwangju, Korea.
                [13 ]Department of Neurology, Dongguk University Ilsan Hospital, Ilsan, Korea.
                [14 ]Department of Neurology, Jeju National University Hospital, Jeju, Korea.
                [15 ]Department of Biostatistics, Korea University College of Medicine, Seoul, Korea.
                [16 ]Asan Medical Center, Clinical Research Center, Seoul, Korea.
                [17 ]Department of Translational Science and Molecular Medicine and Mercy Health Hauenstein Neurosciences, Michigan State University College of Human Medicine, Michigan, United States.
                Author notes
                Address for Correspondence: Hee-Joon Bae, MD, PhD. Department of Neurology, Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-ro 173-beon-gil, Bundang-gu, Seongnam 13620, Republic of Korea. braindoc@ 123456snu.ac.kr
                Author information
                https://orcid.org/0000-0001-8964-3288
                https://orcid.org/0000-0001-5715-6610
                https://orcid.org/0000-0002-2719-3012
                https://orcid.org/0000-0002-8235-9855
                https://orcid.org/0000-0003-0871-6030
                https://orcid.org/0000-0003-0166-387X
                https://orcid.org/0000-0002-3885-981X
                https://orcid.org/0000-0002-8997-5626
                https://orcid.org/0000-0002-6741-0464
                https://orcid.org/0000-0001-6134-8631
                https://orcid.org/0000-0002-0609-1551
                https://orcid.org/0000-0002-4684-6111
                https://orcid.org/0000-0002-7843-1148
                https://orcid.org/0000-0002-4199-3024
                https://orcid.org/0000-0002-1049-5196
                https://orcid.org/0000-0003-4716-9551
                https://orcid.org/0000-0002-5148-1663
                https://orcid.org/0000-0003-2663-7483
                https://orcid.org/0000-0001-8622-7000
                https://orcid.org/0000-0001-7829-7105
                https://orcid.org/0000-0002-4116-4832
                https://orcid.org/0000-0002-9339-6539
                https://orcid.org/0000-0002-3550-2196
                https://orcid.org/0000-0001-8073-9304
                https://orcid.org/0000-0001-8194-3462
                https://orcid.org/0000-0002-1181-614X
                https://orcid.org/0000-0003-0051-1997
                Article
                10.3346/jkms.2019.34.e240
                6753366
                31538419
                4ce2d231-a59a-4362-9156-310691fda4b6
                © 2019 The Korean Academy of Medical Sciences.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 January 2019
                : 12 August 2019
                Funding
                Funded by: Ministry of Health and Welfare, CrossRef https://doi.org/10.13039/501100003625;
                Award ID: HI10C2020
                Award ID: HI16C1078
                Funded by: Hallym University, CrossRef https://doi.org/10.13039/501100002632;
                Award ID: HRF-S51
                Categories
                Original Article
                Neuroscience

                Medicine
                registries,stroke,brain infarction: recovery of function,prognosis
                Medicine
                registries, stroke, brain infarction: recovery of function, prognosis

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