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Sökning: WFRF:(Strbian D.) > (2017)

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1.
  • Wu, T. D. Y., et al. (författare)
  • Simultaneous Multiple Intracerebral Hemorrhages (SMICH)
  • 2017
  • Ingår i: Stroke. - : Ovid Technologies (Wolters Kluwer Health). - 0039-2499 .- 1524-4628. ; 48:3, s. 581-586
  • Tidskriftsartikel (refereegranskat)abstract
    • Background and Purpose-Simultaneous multiple intracerebral hemorrhages (SMICHs) are uncommon. Few single-center studies have analyzed characteristics and outcome of SMICH. We analyzed clinical characteristics and outcome of SMICH patients from 2 comprehensive stroke centers. Methods-Baseline imaging from consecutive intracerebral hemorrhage (ICH) patients (n=1552) from Helsinki ICH study and Royal Melbourne Hospital ICH study was screened for SMICH. ICH pathogenesis was classified according to the structural lesion, medication, amyloid angiopathy, systemic/other disease, hypertension, undetermined classification system (SMASH-U). ICH caused by trauma, tumor, and aneurysmal rupture was excluded. Baseline clinical and radiological characteristics and 90-day mortality were compared between SMICH and single ICH patients. Association of SMICH with 90-day mortality was assessed in multivariable logistic regression models adjusted for predictors of ICH outcome. Results-Of 1452 patients, 85 (5.9%) were classified as SMICH. SMICH were more often female (58% versus 42%; P=0.004), had lower baseline Glasgow Coma Scale (12 versus 14; P=0.008), and more frequent lobar location (59% versus 34%; P<0.001) compared with single ICH. The SMASH-U pathogenesis of SMICH patients was less often hypertensive (20% versus 37%; P=0.001), more often systemic coagulopathy (12% versus 3%; P<0.001), and trended toward more cerebral amyloid angiopathy (32% versus 23%; P=0.071). SMICH was not associated with 90-day mortality on univariate (37% versus 35%; P=0.610), multivariable (odds ratio, 0.783; 95% confidence interval, 0.401-1.529; P=0.473), or propensity score-matched analyses (odds ratio, 0.760; 95% confidence interval, 0.352-1.638; P=0.484). Conclusions-SMICH occurs in approximate to 1 in 20 ICH, more commonly with lobar located hematomas and systemic coagulopathy with less hypertensive angiopathy. The associated mortality is similar to single ICH. Given varied etiologies, SMICH management should target the underlying pathology.
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2.
  • Gensicke, H, et al. (författare)
  • Prognostic significance of proteinuria in stroke patients treated with intravenous thrombolysis.
  • 2017
  • Ingår i: European journal of neurology. - : Wiley. - 1468-1331 .- 1351-5101. ; 24:2, s. 262-269
  • Tidskriftsartikel (refereegranskat)abstract
    • Proteinuria and estimated glomerular filtration rate (eGFR) are indicators of renal function. Whether proteinuria better predicts outcome than eGFR in stroke patients treated with intravenous thrombolysis (IVT) remains to be determined.In this explorative multicenter IVT register based study, the presence of urine dipstick proteinuria (yes/no), reduced eGFR (<60 ml/min/1.73 m2 ) and the coexistence of both with regard to (i) poor 3-month outcome (modified Rankin Scale score 3-6), (ii) death within 3 months and (iii) symptomatic intracranial hemorrhage (ECASS-II criteria) were compared. Unadjusted and adjusted odds ratios (ORs) with 95% confidence intervals were calculated.Amongst 3398 patients, 881 (26.1%) had proteinuria and 623 (18.3%) reduced eGFR. Proteinuria [ORadjusted 1.65 (1.37-2.00) and ORadjusted 1.52 (1.24-1.88)] and reduced eGFR [ORadjusted 1.26 (1.01-1.57) and ORadjusted 1.34 (1.06-1.69)] were independently associated with poor functional outcome and death, respectively. After adding both renal markers to the models, proteinuria [ORadjusted+eGFR 1.59 (1.31-1.93)] still predicted poor outcome whilst reduced eGFR [ORadjusted+proteinuria 1.20 (0.96-1.50)] did not. Proteinuria was associated with symptomatic intracranial hemorrhage [ORadjusted 1.54 (1.09-2.17)] but not reduced eGFR [ORadjusted 0.96 (0.63-1.62)]. In 234 (6.9%) patients, proteinuria and reduced eGFR were coexistent. Such patients were at the highest risk of poor outcome [ORadjusted 2.16 (1.54-3.03)] and death [ORadjusted 2.55 (1.69-3.84)].Proteinuria and reduced eGFR were each independently associated with poor outcome and death but the statistically strongest association appeared for proteinuria. Patients with coexistent proteinuria and reduced eGFR were at the highest risk of poor outcome and death.
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3.
  • Mattila, O S, et al. (författare)
  • Ultra-acute diagnostics for stroke: Large-scale implementation of prehospital biomarker sampling.
  • 2017
  • Ingår i: Acta neurologica Scandinavica. - : Hindawi Limited. - 1600-0404 .- 0001-6314. ; 136:1, s. 17-23
  • Tidskriftsartikel (refereegranskat)abstract
    • Blood-based biomarkers could enable early and cost-effective diagnostics for acute stroke patients in the prehospital setting to support early initiation of treatments. To facilitate development of ultra-acute biomarkers, we set out to implement large-scale prehospital blood sampling and determine feasibility and diagnostic timesavings of this approach.Emergency medical services (EMS) personnel of the Helsinki metropolitan area were trained to collect prehospital blood samples from thrombolysis candidates using a cannula adapter technique. Time delays, sample quality, and logistics were investigated between May 20, 2013 and May 19, 2014.Prehospital blood sampling and study recruiting were successfully performed for 430 thrombolysis candidates, of which 50% had ischemic stroke, 14.4% TIA, 13.5% hemorrhagic stroke, and 22.1% stroke mimics. A total of 66.3% of all samples were collected during non-office hours. The median (interquartile range) emergency call to prehospital sample time was 33 minutes (25-41), and the median time from reported symptom onset or wake-up to prehospital sample was 53 minutes (38-85; n=394). Prehospital sampling was performed 31 minutes (25-42) earlier than hospital admission blood sampling and 37 minutes (30-47) earlier than admission neuroimaging. Hemolysis rate in serum and plasma samples was 6.5% and 9.3% for EMS samples, and 0.7% and 1.6% for admission samples.Prehospital biomarker sampling can be implemented in all EMS units and provides a median timesaving of more than 30 minutes to first blood sample. Large prehospital sample sets will enable development of novel ambulance biomarkers to improve early differential diagnosis and treatment of thrombolysis candidates.
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4.
  • Wu, T. Y., et al. (författare)
  • Natural History of Perihematomal Edema and Impact on Outcome After Intracerebral Hemorrhage
  • 2017
  • Ingår i: Stroke. - : Ovid Technologies (Wolters Kluwer Health). - 0039-2499 .- 1524-4628. ; 48:4, s. 873-879
  • Tidskriftsartikel (refereegranskat)abstract
    • Background and Purpose-Edema may worsen outcome after intracerebral hemorrhage (ICH). We assessed its natural history, factors influencing growth, and association with outcome. Methods-We estimated edema volumes in ICH patients from the Helsinki ICH study using semiautomated planimetry. We assessed the correlation between edema extension distance (EED) and time from ICH onset, creating an edema growth trajectory model up to 3 weeks. We interpolated expected EED at 72 hours and identified clinical and imaging characteristics associated with faster edema growth. Association of EED and mortality was assessed using logistic regression adjusting for predictors of ICH outcome. Results-From 1013 consecutive patients, 861 were included. There was a strong inverse correlation between EED growth rate (cm/d) and time from onset (days): EED growth=0.162*days exp(-0.927), R-2=0.82. Baseline factors associated with larger than expected EED were older age (71 versus 68; P=0.002), higher National Institutes of Health Stroke Scale score (14 versus 8; P<0.001), and lower Glasgow Coma scale score (13 versus 15; P<0.001), larger ICH volume (19.7 versus 12.7 mL; P<0.001), larger initial EED (0.42 versus 0.30; P<0.001), irregularly shaped hematoma (55% versus 42%; P<0.001), and higher glucose (7.6 versus 6.9 mmol/L; P=0.001). Patients with faster edema growth had more midline shift (50% versus 31%; P<0.001), herniation (12% versus 4%; P<0.001), and higher 6-month (46% versus 26%; P<0.001) mortality. In the logistic regression model, higher-than-expected EED was associated with 6-month mortality (odds ratio, 1.60; 95% confidence interval, 1.04-2.46; P=0.032). Conclusions-Edema growth can be readily monitored and is an independent determinant of mortality after ICH, providing an important treatment target for strategies to improve patient outcome.
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5.
  • Wu, T. Y., et al. (författare)
  • Persistent Hyperglycemia Is Associated With Increased Mortality After Intracerebral Hemorrhage
  • 2017
  • Ingår i: Journal of the American Heart Association. - : Ovid Technologies (Wolters Kluwer Health). - 2047-9980. ; 6:8
  • Tidskriftsartikel (refereegranskat)abstract
    • Background-Hyperglycemia may be associated with worse outcome after intracerebral hemorrhage (ICH). We assessed the association of early glycemic trajectory on ICH mortality and edema growth. Methods and Results-We included patients from the Helsinki ICH study with glucose measurements at least once between both 0 to 24 and 24 to 72 hours from onset. Hyperglycemia was defined as blood glucose >= 8 mmol/L (144 mg/dL) based on the local threshold for treatment. Glycemic trajectory was defined on maximum values 0 to 24 and 24 to 72 hours after ICH: (1) persistent normoglycemia in both epochs; (2) late hyperglycemia (only between 24 and 72 hours); (3) early hyperglycemia (only before 24 hours); and (4) persistent hyperglycemia in both epochs. Logistic regression with known predictors of outcome estimated the association of glycemic trajectory and 6-month mortality. A generalized linear model assessed the association of glycemic trajectory and interpolated 72-hour edema extension distance. A total of 576 patients met eligibility criteria, of whom 214 (37.2%) had persistent normoglycemia, 44 (7.6%) late hyperglycemia, 151 (26.2%) early hyperglycemia, and 167 (29.0%) persistent hyperglycemia. Six-month mortality was higher in the persistent (51.1%) and early (26.3%) hyperglycemia groups than the normoglycemia (19.0%) and late hyperglycemia (3.6%) groups. Persistent hyperglycemia was associated with 6-month mortality (odds ratio 3.675, 95% CI 1.989-6.792; P < 0.001). Both univariate (P=0.426) and multivariable (P=0.493) generalized linear model analyses showed no association between glycemic trajectory and 72-hour edema extension distance. Conclusion-Early hyperglycemia after ICH is harmful if it is persistent. Strategies to achieve glycemic control after ICH may influence patient outcome and need to be assessed in clinical trials.
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