Literature DB >> 19387544

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

Raymond C S Seet1, Erle C H Lim, Y H Chan, Bernard P L Chan, Amy M L Quek, Benjamin K C Ong.   

Abstract

The demographic and laboratory predictors of long-stay patients with ischemic stroke were sought in this retrospective hospital-based study. In the univariate and multivariate analysis, advanced age, male gender, leukocytosis, elevated creatinine, low-serum albumin, elevated alkaline transaminases, and lactate dehydrogenase were identified as independent predictors of "long" stayers. At an optimal probability cut-offs, the receiver operating curve incorporating these variables was 0.70, sensitivity 68%, specificity 80%, positive-predictive value 39% and negative-predictive value 95%. Application of this information may assist physicians to triage patients at risk of severe stroke for early therapy and care.

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Year:  2009        PMID: 19387544     DOI: 10.1007/s10072-009-0084-0

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  14 in total

Review 1.  Cytokines and cell adhesion molecules in cerebral ischemia: experimental bases and therapeutic perspectives.

Authors:  L Pantoni; C Sarti; D Inzitari
Journal:  Arterioscler Thromb Vasc Biol       Date:  1998-04       Impact factor: 8.311

2.  Prediction of length of stay of first-ever ischemic stroke.

Authors:  Ku-Chou Chang; Mei-Chiun Tseng; Hsu-Huei Weng; Yin-Hui Lin; Chia-Wei Liou; Teng-Yeow Tan
Journal:  Stroke       Date:  2002-11       Impact factor: 7.914

3.  Hospital costs for stroke care in Singapore.

Authors:  N Venketasubramanian; A Yin
Journal:  Cerebrovasc Dis       Date:  2000 Jul-Aug       Impact factor: 2.762

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

Authors:  H S Jørgensen; H Nakayama; H O Raaschou; T S Olsen
Journal:  Neurology       Date:  1997-11       Impact factor: 9.910

5.  Predictive value of white blood cell count on admission for in-hospital mortality in acute stroke patients.

Authors:  Radoslaw Kazmierski; Przemyslaw Guzik; Wojciech Ambrosius; Anna Ciesielska; Jakub Moskal; Wojciech Kozubski
Journal:  Clin Neurol Neurosurg       Date:  2004-12       Impact factor: 1.876

6.  Prevalence of stroke among Chinese, Malay, and Indian Singaporeans: a community-based tri-racial cross-sectional survey.

Authors:  Narayanaswamy Venketasubramanian; Louis C S Tan; Suresh Sahadevan; Jing J Chin; Ennapadam S Krishnamoorthy; Ching Y Hong; Seang M Saw
Journal:  Stroke       Date:  2005-02-03       Impact factor: 7.914

7.  Costs of acute care of first-ever ischemic stroke in Taiwan.

Authors:  Ku-Chou Chang; Mei-Chiun Tseng
Journal:  Stroke       Date:  2003-10-09       Impact factor: 7.914

8.  Accuracy of initial stroke subtype diagnosis in the TOAST study. Trial of ORG 10172 in Acute Stroke Treatment.

Authors:  K P Madden; P N Karanjia; H P Adams; W R Clarke
Journal:  Neurology       Date:  1995-11       Impact factor: 9.910

9.  Predictive value of routine hematological and biochemical parameters on 30-day fatality in acute stroke.

Authors:  R S Bhatia; R K Garg; S P S Gaur; A M Kar; R Shukla; A Agarwal; R Verma
Journal:  Neurol India       Date:  2004-06       Impact factor: 2.117

10.  Inpatient costs of specific cerebrovascular events at five academic medical centers.

Authors:  R G Holloway; D M Witter; K B Lawton; J Lipscomb; G Samsa
Journal:  Neurology       Date:  1996-03       Impact factor: 9.910

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