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1.
J Neurol ; 265(6): 1426-1431, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29666986

ABSTRACT

OBJECTIVES: Hyperglycemia on admission and diabetes mellitus type II are associated with unfavorable outcome in stroke patients. We studied whether impaired fasting glucose (IFG) is associated with unfavorable outcome in ischemic stroke patients treated with intravenous alteplase as well and if IFG is a stronger prognostic factor than hyperglycemia on admission. METHODS: We studied 220 consecutive patients with ischemic stroke treated with intravenous alteplase. In all nondiabetic patients, fasting glucose was determined on day 2-5. IFG was defined as fasting glucose level of ≥ 5.6 mmol/L, hyperglycemia on admission as glucose levels ≥ 7.9 mmol/L. The primary effect measure was the adjusted common odds ratio (acOR) for a shift in the direction of worse outcome on the modified Rankin Scale at 3 months, estimated with ordinal logistic regression, and adjusted for common prognostic factors. RESULTS: The fasting glucose levels were available in 194 and admission glucose levels in 215 patients. Sixty-three (32.5%) had IFG, 58 (27%) hyperglycemia on admission and 32 (14.6%) pre-existent diabetes. Patients with IFG showed a shift towards worse functional outcome compared with patients with normal fasting glucose levels (acOR 2.77; 95% CI 1.54-4.97), which was stronger than hyperglycemia on admission (acOR 1.75; 95% CI 0.91-3.4). CONCLUSIONS: IFG is associated with unfavorable outcome after treatment with intravenous alteplase for acute ischemic stroke. IFG predicts unfavorable outcome better than hyperglycemia on admission.


Subject(s)
Blood Glucose , Brain Ischemia/drug therapy , Fibrinolytic Agents/therapeutic use , Stroke/drug therapy , Tissue Plasminogen Activator/therapeutic use , Administration, Intravenous , Biomarkers/blood , Brain Ischemia/blood , Brain Ischemia/complications , Brain Ischemia/mortality , Fasting , Female , Humans , Hyperglycemia/blood , Hyperglycemia/complications , Hyperglycemia/mortality , Logistic Models , Male , Middle Aged , Odds Ratio , Patient Admission , Prediabetic State/blood , Prediabetic State/complications , Prediabetic State/mortality , Prognosis , Stroke/blood , Stroke/complications , Stroke/mortality , Thrombolytic Therapy
2.
Acta Neurol Scand ; 135(2): 170-175, 2017 Feb.
Article in English | MEDLINE | ID: mdl-26918555

ABSTRACT

OBJECTIVES: Newly diagnosed disturbed glucose metabolism is highly prevalent in patients with stroke. Limited data are available on their prognostic value on outcome after stroke. We aimed to assess the association of glucose in the prediabetic and diabetic range with unfavourable short-term outcome after stroke. MATERIALS AND METHODS: We included 839 consecutive patients with ischemic stroke and 168 patients with intracerebral haemorrhage. In all nondiabetic patients, fasting glucose levels were determined on day 2-4. Prediabetic range was defined as fasting glucose of 5.6-6.9 mmol/L, diabetic range as ≥7.0 mmol/L, pre-existent diabetes as the use of anti-diabetic medication prior to admission. Outcome measures were poor functional outcome or death defined as modified Rankin Scale (mRS) score >2 and discharge not to home. The association of prediabetic range, diabetic range and pre-existent diabetes (versus normal glucose) with unfavourable outcome was expressed as odds ratios, estimated with multiple logistic regression, with adjustment for prognostic factors. RESULTS: Compared with normal glucose, prediabetic range (aOR 1.8; 95%CI 1.1-2.8), diabetic range (aOR 2.5; 95%CI 1.3-4.9) and pre-existent diabetes (aOR 2.6; 95%CI 1.6-4.0) were associated with poor functional outcome or death. Patients in the prediabetic range (aOR 0.6; 95%CI 0.4-0.9), diabetic range (aOR 0.4; 95%CI 0.2-0.9) and pre-existent diabetes (aOR 0.6; 95%CI 0.4-0.9) were more likely not to be discharged to home. CONCLUSIONS: Patients with glucose in the prediabetic and diabetic range have an increased risk of unfavourable short-term outcome after stroke. These findings illustrate the potential impact of early detection and treatment of these patients.


Subject(s)
Blood Glucose/metabolism , Diabetes Mellitus, Type 2/blood , Prediabetic State/blood , Stroke/blood , Aged , Aged, 80 and over , Cerebral Hemorrhage/blood , Cerebral Hemorrhage/diagnosis , Cerebral Hemorrhage/epidemiology , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Female , Glucose/metabolism , Humans , Male , Middle Aged , Netherlands/epidemiology , Prediabetic State/diagnosis , Prediabetic State/epidemiology , Registries , Stroke/diagnosis , Stroke/epidemiology , Treatment Outcome
3.
J Neurol ; 255(10): 1545-8, 2008 Oct.
Article in English | MEDLINE | ID: mdl-18769860

ABSTRACT

BACKGROUND: Dysarthria may be classified as flaccid, spastic, ataxic, hypokinetic, choreatic, dystonic, or mixed. We hypothesized that in routine neurological practice the reliability and accuracy of perceptual analysis alone in the classification of dysarthria is low and that this classification is mainly based on the clinical context rather than on the perception of speech. We therefore studied the accuracy and the inter- observer agreement in the classification of dysarthrias on the basis of perceptual analysis alone. METHODS: Seventy two neurologists and neurological trainees classified recorded speech samples of 100 patients as flaccid, spastic, ataxic, extrapyramidal, or mixed dysarthria, or as not dysarthric. All observers were blinded to the patients' final diagnosis, which was based on all clinical features and investigations. In the analysis the observers were arranged in eight groups of nine observers, or four paired groups with similar levels of clinical experience. Together, the observers in a given group rated all 100 recordings. RESULTS: The accuracy of the classification was poor (35 % were classified correctly) and the inter-observer agreement between paired groups low (kappa 0.16 to 0.32). The level of experience in neurology did not have a significant influence. CONCLUSION: Neurological trainees as well as experienced neurologists have great difficulty in identifying specific types of dysarthria on the basis of perceptual analysis alone. In clinical practice this probably means that most neurologists will classify dysarthria in the context of other features from neurological examination or ancillary investigations.


Subject(s)
Dysarthria/classification , Speech , Dysarthria/diagnosis , Humans , Netherlands , Neurologic Examination , Observer Variation , Speech Production Measurement
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