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47 results of 15 texts with exact phrase : 'predictors'.

1. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 1, 2005, No. 2 , , ,

Predictors and Clinical Impact of Epilepsy after Subarachnoid Hemorrhage.
Claassen J, Peery S, Kreiter KT et al. Predictors and Clinical Impact of Epilepsy after Subarachnoid Hemorrhage.
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Prevalence and predictors of early seizure and status epilepticus after first stroke.
Labovitz DL, Hauser WA, Sacco RL. Prevalence and predictors of early seizure and status epilepticus after first stroke.
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Seizures in acute stroke: predictors and prognostic significance: the Copenhagen Stroke Study.
Reith J, Jorgensen HS, Nakayama H, Raaschou HO, Olsen TS. Seizures in acute stroke: predictors and prognostic significance: the Copenhagen Stroke Study.
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Ocular findings as predictors of carotid artery occlusive disease: is carotid imaging justified?
McCullough H, Reinert C, Hynan L, et al. Ocular findings as predictors of carotid artery occlusive disease: is carotid imaging justified?
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2. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 2, 2006, No. 2 , , ,

Independent physiological predictors of foot lesions in patients with NIDDM.
Litzelman D, Marriott D, Vinicor F. Independent physiological predictors of foot lesions in patients with NIDDM.
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3. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 3, 2007, No. 2 , , ,

Predictors of carotid stenosis in older adults with and without isolated systolic hypertension. Stroke
Sutton-Tyrrell K, Alcorn H, Wolfson S, Kesley Sh, Kuller L. Predictors of carotid stenosis in older adults with and without isolated systolic hypertension. Stroke
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4. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 5, 2009, No. 1 , , ,

Predictors of depression after stroke: A systematic review of observational studies.
Hackett ML, Anderson CS. Predictors of depression after stroke: A systematic review of observational studies.
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5. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 6, 2010, No. 1 , , ,

Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profile in randomized controlled trials; Safe Implementation of Thrombolysis in Stroke Monitoring Study (SITS-MOST).
Wahlgren N, Ahmed A, Eriksson N, Aichner F, Bluhmki E, Dávalos A, Erilä T, Ford GA, Grond M, Hacke W, Hennerici M, Kaste M, Köhrmann M, Larrue V, Lees KR, Machnig T, Roine RO, Toni D, Vanhooren G, for the SITSMOST investigators. Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profile in randomized controlled trials; Safe Implementation of Thrombolysis in Stroke Monitoring Study (SITS-MOST).
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Predictors of ischemic stroke in the territory of a symptomatic intracranial arterial stenosis.
Kasner SE, Chimowitz MI, Lynn MJ, Howlett-Smith H, Stern BJ, Hertzberg VS, Frankel MR, Levine SR, Chaturvedi S, Benesch CG, Sila CA, Jovin TG, Romano JG, Cloft HJ. Warfarin Aspirin Symptomatic Intracranial Disease Trial Investigators. Predictors of ischemic stroke in the territory of a symptomatic intracranial arterial stenosis.
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Ischaemic stroke in young adults: predictors of outcome and recurrence.
Nedeltchev K, der Maur TA, Georgiadis D, Arnold M, Caso V, Mattle HP, Schroth G, Remonda L, Sturzenegger M, Fischer U, Baumgartner RW. Ischaemic stroke in young adults: predictors of outcome and recurrence.
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Patterns and predictors of early risk of recurrence after transient ischemic attack with respect to etiologic subtypes.
Purroy F, Montaner J, Molina CA, Delgado P, Ribo M, AlvarezSabin J. Patterns and predictors of early risk of recurrence after transient ischemic attack with respect to etiologic subtypes.
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Presence of acute ischaemic lesions on diffusion-weighted imaging is associated with clinical predictors of early risk of stroke after transient ischaemic attack.
Presence of acute ischaemic lesions on diffusion-weighted imaging is associated with clinical predictors of early risk of stroke after transient ischaemic attack.
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6. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 6, 2010, No. 2 , , ,

Predictors of depression after stroke: a systematic review of observational studies.
Hackett ML, Anderson CS. Predictors of depression after stroke: a systematic review of observational studies.
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7. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 7, 2011, No. 1 , , ,

Relationship between ALS and the degree of cognitive impairment, markers of neurodegeneration and predictors for poor outcome.
Rusina R, Ridzon P, Kulist‘ak P, Keller O, Bartos A, Buncova M, Fialova L, Koukolik F, Matej R. Relationship between ALS and the degree of cognitive impairment, markers of neurodegeneration and predictors for poor outcome. A prospective study.
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8. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 9, 2013, No. 1 , , ,

Of all the variables, serum hs-CRP level (OR 1, 12 (1,00–1,25), p=0,049), gender (OR 5,97 (1,05-34,00), p=0,044) and age (OR 1,30 (1,09–1,55), p=0,004) were identified as independent predictors of post-stroke recovery.
Our results showed that 57% of the patients had cognitive impairment at hospital discharge. Age (p=0.0001), education (p=0.001), baseline systolic blood pressure (p=0.015), hyperglycemia (p=0.021) and serum hs-CRP level (p=0.050) on admission were the significant determinants of early cognitive deterioration. Of all the variables, serum hs-CRP level (OR 1, 12 (1,00–1,25), p=0,049), gender (OR 5,97 (1,05-34,00), p=0,044) and age (OR 1,30 (1,09–1,55), p=0,004) were identified as independent predictors of post-stroke recovery.
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The objective of the study was to assess the cognitive state of acute ischemic stroke patients and identify significant determinants and reliable predictors of post-stroke cognitive deterioration.
The objective of the study was to assess the cognitive state of acute ischemic stroke patients and identify significant determinants and reliable predictors of post-stroke cognitive deterioration.
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Predictors of cognitive deficit in acute ischemic stroke.
Predictors of cognitive deficit in acute ischemic stroke.
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Two binary logistic regression models were constructed in order to identify independent predictors of vascular cognitive impairment registered at discharge (table 2).
Two binary logistic regression models were constructed in order to identify independent predictors of vascular cognitive impairment registered at discharge (table 2). The model provided a good fit with the data (χ
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Predictors of cognitive deficit in acute ischemic stroke.
Predictors of cognitive deficit in acute ischemic stroke.
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Age, gender and hs-CRP were significant predictors of cognitive impairment at discharge.
sis, 61% of the variation in the cognitive state could be attributed to these three independent variables. Age, gender and hs-CRP were significant predictors of cognitive impairment at discharge. Our data revealed that an increase by 1 year in age and by 1 mg/L in serum hsCRP level resulted in a 30% and 12% increase, respectively, in odds of a vascular cognitive deficit at discharge. Furthermore, the likelihood in female patients to develop cognitive impairment during the acute period of stroke was 6 times greater as compared to male patients. The discrimination ability of the model was assessed by the area under the ROC curve (ROC area=0.937 (0.873-1.001). In almost 94% of all possible pairs of patients in which one had a normal cognitive state and the other had a cognitive impairment, the model would assign a higher probability to the patient with cognitive impairment. The optimal sensitivity of the model was 90%, and the specificity was 82%.
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Age and hs-CRP remained significant predictors of cognitive state, while gender could not reach statistical significance.
=34.64; р=0.000). In model 2, four independent variables accounted for 70% of the variance. Age and hs-CRP remained significant predictors of cognitive state, while gender could not reach statistical significance. Systolic blood pressure on admission also proved to be a statistically significant predictor. The area under the ROC curve was 0.896 (0.806-0.986). The optimal sensitivity of the model was 80%, and the specificity was 81%, so that model demonstrated mild reduction in sensitivity as compared to the model without systolic blood pressure. A model with
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Predictors of cognitive deficit in acute ischemic stroke.
Predictors of cognitive deficit in acute ischemic stroke.
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Predictors and assessment of cognitive dysfunction resulting from ischaemic stroke.
Gottesman RF, Hillis AE. Predictors and assessment of cognitive dysfunction resulting from ischaemic stroke.
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Predictors of cognitive deficit in acute ischemic stroke.
Predictors of cognitive deficit in acute ischemic stroke.
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9. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 9, 2013, No. 2 , , ,

Predictors of Vascular Events.
Predictors of Vascular Events.
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two-dimensional total plaque area (TPA) or tree-dimensional total plaque volume is a powerful non-invasive imaging tool for vascular risk estimation and stronger predictors for future ischemic stroke than cIMT.
two-dimensional total plaque area (TPA) or tree-dimensional total plaque volume is a powerful non-invasive imaging tool for vascular risk estimation and stronger predictors for future ischemic stroke than cIMT.
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However, it is not clear which factors serve as predictors of late-onset ISR or how to use data from CDU to make subsequent management decisions.
In-stent restenosis (ISR) is a major problem that can occur during long-term follow-up after carotid artery stenting (CAS). Patients who undergo CAS are usually followed using three-dimensional enhanced computed tomography angiography (3D-CTA) for two years after the procedure, and with carotid duplex sonography (CDU) thereafter. However, it is not clear which factors serve as predictors of late-onset ISR or how to use data from CDU to make subsequent management decisions. Therefore, we compared the differences between patients without ISR (no-ISR group) and patients with highgrade ISR (defined as more than 40% stenosis according to the NASCET method).
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GCS and NIHSS scores on admission, hematoma volume and location are reliable predictors of clinical outcome on the 30-th day of the sICH that could be used for patient stratification and optimization of the individual therapeutic approach.
GCS and NIHSS scores on admission, hematoma volume and location are reliable predictors of clinical outcome on the 30-th day of the sICH that could be used for patient stratification and optimization of the individual therapeutic approach.
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10. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 10, 2014, No. 1 , , ,

Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profle in randomized controlled trials: Safe lmplementation of Thrombolysis in Stroke-Monitoring Study (SlTS-MOST).
hrmann M, Larrue W, Lees K, Machnig T, Roine R, Toni D, Vanhooren G. Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profle in randomized controlled trials: Safe lmplementation of Thrombolysis in Stroke-Monitoring Study (SlTS-MOST).
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Predictors of fatal brain edema in massive hemispheric ischemic stroke.
Kasner SE, Demchuk AM, Berrouschot J, Schmutzhard E, Harms L, Verro P, Chalela JA, Abbur R, McGrade H, Christou I, Krieger DW. Predictors of fatal brain edema in massive hemispheric ischemic stroke.
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Early clinical and radiological predictors of fatal brain swelling in ischemic stroke.
Krieger DW, Demchuk AM, Kasner SE, Jauss M, Hantson L. Early clinical and radiological predictors of fatal brain swelling in ischemic stroke.
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cardiopulmonary resuscitation, cardiac arrest, predictors, survival
cardiopulmonary resuscitation, cardiac arrest, predictors, survival
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Predictors of CPR outcomes;
Predictors of CPR outcomes;
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ln a retrospective analysis of the influence of demographic factors on survival it was identified that the age, the gender and the race were not predictors of survival and those factors were not critical for the efficacy of reanimation [17].
the patients have been divided by gender and by age (0-10 y/a, 11-60 y/a, and above 70 y/a) and the mean age of patients after СА (47.2 years) has been reported. The highest level of mortality has been observed in the extreme age groups (0-10 y/a no survival; 11-60 y/a 19.7% and above 70 5.7%). No statistically significant difference in mortality rate by gender has been observed [28]. ln a retrospective analysis of the influence of demographic factors on survival it was identified that the age, the gender and the race were not predictors of survival and those factors were not critical for the efficacy of reanimation [17].
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No index or scale is available in order to be used in the practice in countries where a decision for "do" or "do not" resuscitate is defined by the locally acting regulation which requires searching for more reliable predictors of CPR outcome.
Pre Arrest Morbidity (РАМ) index was developed in 1989 including the following parameters which are associated with higher in-hospital mortality rate: pneumonia, hypotension, renal insufficiency, cancer and sedentary lifestyle; it has a negative relation with survival until discharge. During the hospitalization and 0 score of the index, the survival rate is up to 50.6% and the patients die with a score above 8 [3, 11]. Prognostics After Resuscitation (PAR index) is developed in 1992 by modification of PAM index based on a metaanalysis of 14 studies (2643 patients) assessing the in-hospital survival after CPR. The modified index is a better predictor of ineffective CPR [8, 23]. The reliability of PAR index as a predictor of CPR failure has not been sufficiently clinically proven and some controversial results have been reported [23, 24, 27]. No index or scale is available in order to be used in the practice in countries where a decision for "do" or "do not" resuscitate is defined by the locally acting regulation which requires searching for more reliable predictors of CPR outcome.
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The focus is directed on identifying the reliable and clear predictors of survival after CA and even before the CPR.
Over the past years patients' treatment after CA has considerably progressed due to improved organization and development of the CPR procedure. Independently of the registered progress, the mortality rate remains high, reaching 75% in developed countries [12]. The focus is directed on identifying the reliable and clear predictors of survival after CA and even before the CPR. For this purpose, it is necessary to grant conditions for retrospective and meta-
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Prearrest predictors of survival following in-hospital cardiopulmonary resuscitation: a meta-analysis.
Ebell M. Prearrest predictors of survival following in-hospital cardiopulmonary resuscitation: a meta-analysis.
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11. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 10, 2014, No. 2 , , ,

Independent predictors of stroke in patients with atrial fibrillation: a systematic review.
Stroke Risk in Atrial Fibrillation Working G. Independent predictors of stroke in patients with atrial fibrillation: a systematic review.
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Predictors of hemiparetic gait recovery
Predictors of hemiparetic gait recovery
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Knowledge for predictors of gait recovery after stroke can contribute to more appropriate selection of the rehabilitation strategy when different techniques in gait training are considered.
Knowledge for predictors of gait recovery after stroke can contribute to more appropriate selection of the rehabilitation strategy when different techniques in gait training are considered. Most of the studies confirm the significant association of recovery with younger age, better functional outcome (higher preferred gait velocity, Barthel Index and more gait symmetry at the start of rehabilitation), severity of stroke and brain ability for neuroplasticity (location and extent of damange, activation of secondary and contralateral areas, individual genetic abilities for brain reorganization) and better motivated and moving patients [6, 21, 32].
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12. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 11, 2015, No. 1 , , ,

Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profile in randomized controlled trials; Safe Implementation of Thrombolysis in Stroke Monitoring Study (SITS-MOST).
hrmann M, Larrue V, Lees KR, Machnig T, Roine RO, Toni D, Vanhooren G. For the SITS-MOST investigators. Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profile in randomized controlled trials; Safe Implementation of Thrombolysis in Stroke Monitoring Study (SITS-MOST).
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13. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 11, 2015, No. 2 , , ,

Independent VCI predictors are the functional status and severity of WML.
There are data indicating that 20% of elder persons have "silent” lesions whereas 25% of all symptomatic ischemic infarctions belong to SVD. Symptomatic subcortical ischemic SVD are the most frequent and the most homogenic cause of VCI. According to our results VCI in SVD patients is associated with older age, functional status, presence of white matter lesions (WML) and severity of confluent WML. Independent VCI predictors are the functional status and severity of WML.
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14. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 13, 2017, No. 2 , , ,

Older age and lower Glasgow coma scale (GCS) score at presentation have been almost uniformly reported as independent negative prognostic predictors [5, 9, 32, 58].
Clinical studies have identified multiple factors associated with higher mortality and worse outcome in ICH. Older age and lower Glasgow coma scale (GCS) score at presentation have been almost uniformly reported as independent negative prognostic predictors [5, 9, 32, 58]. Other important factors independently associated with unfavorable outcome are ICH volume [5], hematoma growth [10], intraventricular
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While age and GCS represent more or less all-encompassing surrogate parameters accounting for comorbidity and stroke severity in general, the identification of specific ICH related prognostic predictors has contributed to a better understanding of the role
hemorrhage (IVH) [4, 55, 59], hydrocephalus [4, 11], and perihemorrhagic edema [53]. While age and GCS represent more or less all-encompassing surrogate parameters accounting for comorbidity and stroke severity in general, the identification of specific ICH related prognostic predictors has contributed to a better understanding of the role
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The primary endpoint of this trial was the clinical outcome (Glasgow Outcome Scale Extended – GOSE) 6 months after the event, evaluated by using a prognosis-based method in order to consider important strong prognostic predictors as age, GCS and initial ICH volume.
On that basis the STICH II trial was conducted in order to compare surgical with initial medical treatment in this subgroup of patients. Unfortunately, some major methodological issues as the “uncertainty principle”, were kept in this trial, which was recently published [41]. STICH II included patients with superficially located lobar ICH with a volume between 10-100 ml and symptom onset within 48 hours before randomization. Patients with IVH were excluded. Early hematoma removal within 12 hours after randomization was compared with initially conservative management. The primary endpoint of this trial was the clinical outcome (Glasgow Outcome Scale Extended – GOSE) 6 months after the event, evaluated by using a prognosis-based method in order to consider important strong prognostic predictors as age, GCS and initial ICH volume. Mortality was analyzed as a secondary endpoint. Of totally 601 included patients, 307 were randomized into the early surgery group. As in STICH, the percent of patients from the control group that were later subjected to surgery, most often due to secondary deterioration, was relatively high (62 of 294, 21%). Craniotomy was the most frequently used surgical method (in 98% of patients). STICH II also did not bring up a significant result. The
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Shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage: incidence, predictors, and revision rates.
O'Kelly CJ, Kulkarni AV, Austin PC, Urbach D, Wallace MC. Shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage: incidence, predictors, and revision rates. Clinical article.
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15. NEUROSONOLOGY AND CEREBRAL HEMODYNAMICS, vol. 14, 2018, No. 1 , , ,

are better predictors of early arteriosclerotic changes in carotid arteries compared to CC and especially YEM.
are better predictors of early arteriosclerotic changes in carotid arteries compared to CC and especially YEM. Furthermore, they provide more reliable data for discriminating between the subjects with and without subclinical atherosclerosis.
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