Interleukin-6 as an Early Predictor for One-Year Survival following an Ischaemic Stroke/Transient Ischaemic Attack

Background Early biomarkers for survival in an acute ischaemic stroke/transient ischaemic attack might serve as a useful tool for the clinician. Several studies have highlighted the role of inflammatory biomarkers as an early signal for acute ischaemic stroke prognosis. Aims This study examines the potential advantage of using high-sensitivity interleukin-6 as a possible biomarker at the early stages of acute stroke for identifying patients at a high risk for 12-month mortality. Methods Inflammatory biomarkers and neurological scores were determined in 250 patients following mild to moderate acute ischaemic stroke within 24 h of hospital admission. Outcome data on mortality were collected after 12 months. The signal detection methodology was used to identify subgroups that were at a high risk for 12-month mortality. Results Twelve months following the event, 234 of the 250 stroke patients survived. Signal detection identified predictors that distinguished individuals likely to die from those with a better recovery prediction. Plasma interleukin-6 concentration emerged as the optimal predictor, with a cut point of 6·47pg/ml, χ2 (I, N = 250) = 20·5, P<0·001. Interleukin-6 above 6·47 pg/ml during the acute phase predicted subsequent non-survival (P = 0·006, odds ratio 8·0). Conclusions This study demonstrates the clinical potential of using high-sensitivity interleukin-6 as an early signal for acute ischaemic stroke survival and suggests a clear cut point for patients at a high risk who might benefit from closer clinical surveillance and/or administration of therapeutic interventions.

[1]  A. Clauss [Rapid physiological coagulation method in determination of fibrinogen]. , 1957, Acta haematologica.

[2]  David Lee Gordon,et al.  Classification of Subtype of Acute Ischemic Stroke: Definitions for Use in a Multicenter Clinical Trial , 1993, Stroke.

[3]  N. Bornstein,et al.  Early signaling of inflammation in acute ischemic stroke: clinical and rheological implications. , 2008, Thrombosis research.

[4]  A. Clauss,et al.  Gerinnungsphysiologische Schnellmethode zur Bestimmung des Fibrinogens , 1957 .

[5]  N Rifai,et al.  Clinical efficacy of an automated high-sensitivity C-reactive protein assay. , 1999, Clinical chemistry.

[6]  JoséCastillo,et al.  Proinflammatory Cytokines and Early Neurological Worsening in Ischemic Stroke , 2000 .

[7]  H. Kraemer,et al.  Who will relapse? Symptoms of nicotine dependence predict long-term relapse after smoking cessation. , 1992, Journal of consulting and clinical psychology.

[8]  N. Rothwell,et al.  Peak plasma interleukin-6 and other peripheral markers of inflammation in the first week of ischaemic stroke correlate with brain infarct volume, stroke severity and long-term outcome , 2004, BMC neurology.

[9]  H. Kraemer,et al.  Do logistic regression and signal detection identify different subgroups at risk? Implications for the design of tailored interventions. , 2001, Psychological methods.

[10]  J. Aarseth,et al.  IL‐6: an early marker for outcome in acute ischemic stroke , 2005, Acta neurologica Scandinavica.

[11]  D. Sander,et al.  Evaluation of C-Reactive Protein Measurement for Assessing the Risk and Prognosis in Ischemic Stroke: A Statement for Health Care Professionals From the CRP Pooling Project Members , 2005, Stroke.

[12]  D. Panagiotakos,et al.  Inflammatory markers and in-hospital mortality in acute ischaemic stroke. , 2006, Atherosclerosis.

[13]  Á. Chamorro,et al.  Inflammation-Mediated Damage in Progressing Lacunar Infarctions: A Potential Therapeutic Target , 2002, Stroke.

[14]  D. Panagiotakos,et al.  Usefulness of inflammatory and haemostatic markers to predict short‐term risk for death in middle‐aged ischaemic stroke patients , 2007, Acta neurologica Scandinavica.

[15]  Á. Chamorro,et al.  Levels of Anti-Inflammatory Cytokines and Neurological Worsening in Acute Ischemic Stroke , 2003, Stroke.

[16]  S. Lewis,et al.  Recommendation for Measurement of Erythrocyte Sedimentation Rate of Human Blood: International Committee For Standardization in Haematology , 1977 .

[17]  H. Kraemer,et al.  Characteristics of successful and unsuccessful dieters: An application of signal detection methodology , 1998, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.