Faculty Opinions recommendation of Otolith dysfunction in vestibular neuritis: recovery pattern and a predictor of symptom recovery.

Author(s):  
Stefan Hegemann ◽  
Antonella Palla
Neurology ◽  
2008 ◽  
Vol 70 (6) ◽  
pp. 449-453 ◽  
Author(s):  
H. -A. Kim ◽  
J. -H. Hong ◽  
H. Lee ◽  
H. -A. Yi ◽  
S. -R. Lee ◽  
...  

2012 ◽  
Vol 147 (5) ◽  
pp. 826-831 ◽  
Author(s):  
Inge Wegner ◽  
Peter Paul G. van Benthem ◽  
Mark C. J. Aarts ◽  
Tjasse D. Bruintjes ◽  
Wilko Grolman ◽  
...  

The authors studied the effect of corticosteroid treatment on clinical recovery and recovery of vestibular function in patients with vestibular neuritis. The comprehensive search (March 29, 2012) yielded 496 original papers, of which 5 (including 199 patients) during full-text screening satisfied our eligibility criteria. Methods assessment showed that 1 study (30 patients) provided direct evidence and carried low risk of bias. Two studies properly reported on their random and concealed allocation of treatment. In 1 study, patients were not randomly allocated to treatment. Blinding of outcomes was lacking in 2 studies, whereas outcome data were clearly incomplete for 2 studies. Given the wide variety in outcome measures and scales and follow-up duration, the meaning of the size of reported effects is not clear. Therefore, the reported effects cannot simply be compared between studies, and this precludes pooling of study results. Still, there are large differences between studies in the size of the reported absolute effects after the placebo treatment. Moreover, the difference in effects between treatments is rather small and does not always favor corticosteroids. The moderate to high risk of bias of studies precludes firm conclusions, whereas the reported short-term effects on symptom recovery and improvement of peripheral vestibular function are too small to be clinically important. No long-term effect on symptom recovery has been shown. Recommendations or decisions for corticosteroid treatment in patients with vestibular neuritis cannot be based on current best evidence and therefore should be discussed with the patient.


2021 ◽  
Vol 14 (1) ◽  
pp. e239705
Author(s):  
Kiyoshi Shikino ◽  
Masatomi Ikusaka

Author(s):  
Gregory Fedorchak ◽  
Aakanksha Rangnekar ◽  
Cayce Onks ◽  
Andrea C. Loeffert ◽  
Jayson Loeffert ◽  
...  

Abstract Objective The goals of this study were to assess the ability of salivary non-coding RNA (ncRNA) levels to predict post-concussion symptoms lasting ≥ 21 days, and to examine the ability of ncRNAs to identify recovery compared to cognition and balance. Methods RNA sequencing was performed on 505 saliva samples obtained longitudinally from 112 individuals (8–24-years-old) with mild traumatic brain injury (mTBI). Initial samples were obtained ≤ 14 days post-injury, and follow-up samples were obtained ≥ 21 days post-injury. Computerized balance and cognitive test performance were assessed at initial and follow-up time-points. Machine learning was used to define: (1) a model employing initial ncRNA levels to predict persistent post-concussion symptoms (PPCS) ≥ 21 days post-injury; and (2) a model employing follow-up ncRNA levels to identify symptom recovery. Performance of the models was compared against a validated clinical prediction rule, and balance/cognitive test performance, respectively. Results An algorithm using age and 16 ncRNAs predicted PPCS with greater accuracy than the validated clinical tool and demonstrated additive combined utility (area under the curve (AUC) 0.86; 95% CI 0.84–0.88). Initial balance and cognitive test performance did not differ between PPCS and non-PPCS groups (p > 0.05). Follow-up balance and cognitive test performance identified symptom recovery with similar accuracy to a model using 11 ncRNAs and age. A combined model (ncRNAs, balance, cognition) most accurately identified recovery (AUC 0.86; 95% CI 0.83–0.89). Conclusions ncRNA biomarkers show promise for tracking recovery from mTBI, and for predicting who will have prolonged symptoms. They could provide accurate expectations for recovery, stratify need for intervention, and guide safe return-to-activities.


2021 ◽  
pp. 154596832110329
Author(s):  
Margaret J. Moore ◽  
Kathleen Vancleef ◽  
M. Jane Riddoch ◽  
Celine R. Gillebert ◽  
Nele Demeyere

Background/Objective. This study aims to investigate how complex visuospatial neglect behavioural phenotypes predict long-term outcomes, both in terms of neglect recovery and broader functional outcomes after 6 months post-stroke. Methods. This study presents a secondary cohort study of acute and 6-month follow-up data from 400 stroke survivors who completed the Oxford Cognitive Screen’s Cancellation Task. At follow-up, patients also completed the Stroke Impact Scale questionnaire. These data were analysed to identify whether any specific combination of neglect symptoms is more likely to result in long-lasting neglect or higher levels of functional impairment, therefore warranting more targeted rehabilitation. Results. Overall, 98/142 (69%) neglect cases recovered by follow-up, and there was no significant difference in the persistence of egocentric/allocentric (X2 [1] = .66 and P = .418) or left/right neglect (X2 [2] = .781 and P = .677). Egocentric neglect was found to follow a proportional recovery pattern with all patients demonstrating a similar level of improvement over time. Conversely, allocentric neglect followed a non-proportional recovery pattern with chronic neglect patients exhibiting a slower rate of improvement than those who recovered. A multiple regression analysis revealed that the initial severity of acute allocentric, but not egocentric, neglect impairment acted as a significant predictor of poor long-term functional outcomes (F [9,300] = 4.742, P < .001 and adjusted R2 = .098). Conclusions. Our findings call for systematic neuropsychological assessment of both egocentric and allocentric neglect following stroke, as the occurrence and severity of these conditions may help predict recovery outcomes over and above stroke severity alone.


Sign in / Sign up

Export Citation Format

Share Document