Literature DB >> 9371918

Acute stroke: prognosis and a prediction of the effect of medical treatment on outcome and health care utilization. The Copenhagen Stroke Study.

H S Jørgensen1, H Nakayama, H O Raaschou, T S Olsen.   

Abstract

Medical treatment of acute stroke with tissue plasminogen activator (tPA) was recently approved in the United States, and neuroprotective agents are being developed. Should all patients with stroke, regardless of severity, receive such treatment? In the Copenhagen Stroke Study we studied the prognosis of stroke in 1,351 unselected patients from a well-defined catchment area treated in a community-based stroke unit from the time of acute admission to death or the end of rehabilitation. Outcome measures were mortality, discharge rates to the patients' own home or to a nursing home, length of hospital stay, and neurological and functional outcomes. Prognosis was stratified according to initial stroke severity measured by the Scandinavian Neurological Stroke Scale (SSS) on admission. We estimated the effect of medical treatment on prognosis and health care utilization by assuming a medically induced decrease in initial stroke severity by 5 and 10 points in the initial SSS score. This mild and moderate decrease in initial stroke severity corresponded to an overall improvement in outcome and an overall cost reduction through shorter hospital stays. This was also true in patients with both mild and moderate stroke. However, in patients with severe stroke, survival increases expenses because of an increased discharge rate to a nursing home and an increase in the cost of acute care and rehabilitation. Future medical stroke trials should therefore focus on the effect and cost of treatment, especially in patients with severe stroke, and search for factors predictive of good clinical outcome in this group.

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Mesh:

Year:  1997        PMID: 9371918     DOI: 10.1212/wnl.49.5.1335

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  6 in total

1.  Can demographic and admission laboratory variables be useful to identify long-stay patients with acute ischemic stroke? A hospital-based cohort study in Singapore.

Authors:  Raymond C S Seet; Erle C H Lim; Y H Chan; Bernard P L Chan; Amy M L Quek; Benjamin K C Ong
Journal:  Neurol Sci       Date:  2009-04-22       Impact factor: 3.307

Review 2.  Developing a Conversation Aid to Support Shared Decision Making: Reflections on Designing Anticoagulation Choice.

Authors:  Claudia L Zeballos-Palacios; Ian G Hargraves; Peter A Noseworthy; Megan E Branda; Marleen Kunneman; Bruce Burnett; Michael R Gionfriddo; Christopher J McLeod; Haeshik Gorr; Juan Pablo Brito; Victor M Montori
Journal:  Mayo Clin Proc       Date:  2019-01-11       Impact factor: 7.616

3.  Predicting the Long-Term Outcome after Subacute Stroke within the Middle Cerebral Artery Territory.

Authors:  Oh Young Bang; Hee Young Park; Jung Han Yoon; Seung Hyeon Yeo; Ji Won Kim; Mi Ae Lee; Mi Hee Park; Phil Hyu Lee; In Soo Joo; Kyoon Huh
Journal:  J Clin Neurol       Date:  2005-10-20       Impact factor: 3.077

4.  Impact of Shoulder Abduction Loading on Brain-Machine Interface in Predicting Hand Opening and Closing in Individuals With Chronic Stroke.

Authors:  Jun Yao; Clay Sheaff; Carolina Carmona; Julius P A Dewald
Journal:  Neurorehabil Neural Repair       Date:  2015-07-27       Impact factor: 3.919

5.  Predicting outcome and recovery after stroke with lesions extracted from MRI images.

Authors:  Thomas M H Hope; Mohamed L Seghier; Alex P Leff; Cathy J Price
Journal:  Neuroimage Clin       Date:  2013-03-22       Impact factor: 4.881

6.  Prediction of the survival and functional ability of severe stroke patients after ICU therapeutic intervention.

Authors:  Moussa Riachy; Frida Sfeir; Ghassan Sleilaty; Samer Hage-Chahine; Georges Dabar; Taha Bazerbachi; Zeina Aoun-Bacha; Georges Khayat; Salam Koussa
Journal:  BMC Neurol       Date:  2008-06-26       Impact factor: 2.474

  6 in total

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