Migraine patients consistently show abnormal vestibular bedside tests

cVEMP and VAT for the diagnosis of vestibular migraine

BACKGROUND

Although the diagnostic criteria of vestibular migraine (VM) have already been defined, various clinical manifestations of VM and the lack of pathognomonic biomarker result in high rate of misdiagnosis and mismanagement. A timely and accurate diagnosis tool for the evaluation of VM is highly needed.

OBJECTIVE

The current study aims to investigate the potential feasibility of cervical vestibular evoked myogenic potential (cVEMP) and vestibular autorotation test (VAT) as a diagnosis tool for VM.

METHODS

A total of 211 subjects were recruited into the current study with all subjects meeting the inclusion and exclusion criteria. The subjects were divided into 3 groups: healthy control group, general migraine group and VM group. Test of cVEMP and VAT was conducted in all the groups, and the generated data were statistically compared.

RESULTS

Compared with the other two groups, cVEMP P13-N23 amplitudes of VM patients showed a significant decline. Mean latency values of the VM group had no significant difference in comparison with other groups. Asymmetry ratios showed increased level in VM patients compared to the control groups, without significant difference. VAT results showed that all the horizontal gain, horizontal phase, vertical gain and vertical phase differ from the other two groups to varying degrees at higher frequency.

CONCLUSION

cVEMP and VAT have potential usage in the assessment of VM and can serve as powerful tool in diagnosis of VM.

Differentiating migraine, cervicogenic headache and asymptomatic individuals based on physical examination findings: a systematic review and meta-analysis

BACKGROUND

Migraine and cervicogenic headache (CGH) are common headache disorders, although the large overlap of symptoms between them makes differential diagnosis challenging. To strengthen differential diagnosis, physical testing has been used to examine for the presence of musculoskeletal impairments in both conditions. This review aimed to systematically evaluate differences in physical examination findings between people with migraine, CGH and asymptomatic individuals.

METHODS

The databases MEDLINE, PubMed, CINAHL, Web of Science, Scopus, EMBASE were searched from inception until January 2020. Risk of bias was assessed with the Downs and Black Scale for non-randomized controlled trials, and with the Quality Assessment of Diagnostic Accuracy Studies tool for diagnostic accuracy studies. When possible, meta-analyses with random effect models was performed.

RESULTS

From 19,682 articles, 62 studies were included in this review and 41 were included in the meta-analyses. The results revealed: a) decreased range of motion [°] (ROM) on the flexion-rotation test (FRT) (17.67, 95%CI:13.69,21.65) and reduced neck flexion strength [N] (23.81, 95%CI:8.78,38.85) in CGH compared to migraine; b) compared to controls, migraineurs exhibit reduced flexion ROM [°] (- 2.85, 95%CI:-5.12,-0.58), lateral flexion ROM [°] (- 2.17, 95% CI:-3.75,-0.59) and FRT [°] (- 8.96, 95%CI:-13.22,-4.69), reduced cervical lordosis angle [°] (- 0.89, 95%CI:-1.72,-0.07), reduced pressure pain thresholds over the cranio-cervical region [kg/cm²], reduced neck extension strength [N] (- 11.13, 95%CI:-16.66,-5.6) and increased activity [%] of the trapezius (6.18, 95%CI:2.65,9.71) and anterior scalene muscles (2.87, 95%CI:0.81,4.94) during performance of the cranio-cervical flexion test; c) compared to controls, CGH patients exhibit decreased neck flexion (- 33.70, 95%CI:-47.23,-20.16) and extension (- 55.78, 95%CI:-77.56,-34.00) strength [N].

CONCLUSION

The FRT and neck flexion strength could support the differential diagnosis of CGH from migraine. Several physical tests were found to differentiate both headache types from asymptomatic individuals. Nevertheless, additional high-quality studies are required to corroborate these findings.

STUDY REGISTRATION

Following indications of Prisma-P guidelines, this protocol was registered in PROSPERO on 21/05/2019 with the number CRD42019135269 . All amendments performed during the review were registered in PROSPERO, indicating the date and what and why was changed.

The clinical significance of fHIT in migraine patient without vertigo symptom

OBJECTIVE

The aim of this study was to assess the functional head impulse test on migraine patients without vertigo. fHIT is a new vestibular test which evaluates the ability to see and read clearly during head movement as a functional measurement of the vestibulo-ocular reflex.

MATERIALS AND METHODS

The study included 20 patients suffering from migraine without vertigo between the ages of 20 and 30-years-old who were diagnosed by a neurologist and 20 individuals with non-migraine headaches (control group), with similar demographic characteristics. The functional head impulse test was applied to both groups, and the migraine disability assessment test was applied to migraine patients.

RESULTS

There was no statistically significant difference in the general fHIT results between the migraine group and the control group (p > 0.05). However, a statistically significant decrease was obtained in migraine patients in the left lateral (p = 0.018) and right posterior (p = 0.029) semicircular canals at 4000 Hz and the right anterior semicircular canal at 6000 Hz (p = 0.019). When compared by the degree of migraine disability assessment test, no significant difference in the fHIT results were observed (p > 0.05).

CONCLUSION

The semicircular canals may be affected at high head acceleration (4000-6000 Hz) in migraine patients without a history of vertigo. It should be considered that fHIT results between 4000 and 6000 Hz in migraine patients without vertigo can be pathologic.

Do we need to reconsider the classification of vestibular migraine?

Introduction: Vestibular migraine (VM) is a complex disease characterized by recurrent episodes of migraine associated with vertigo attacks that are observed in 1-3% of the general population. Given its high prevalence and the impact on the health system, it is important to characterize these patients, in order to offer an accurate diagnosis and a proper treatment. As the diagnosis of VM is based on clinical features, the study of potential biomarkers has gained more interest in the last years, to improve the precision in the diagnosis of this disease. The aim of this review is to summarize the main tests available for the diagnosis of VM, including the accuracy of biomarkers for the diagnosis of VM.Areas covered: This review summarizes the main information on VM, including all diagnosis records published in the field in the last 10 years, and focusing on candidate biomarkers for the diagnosis of VM patients.Expert opinion: There is a limited knowledge in the pathophysiology of VM. The search of biomarkers for diagnosis of VM is needed to improve the precision in the diagnosis promoting clinical and translational research. The potential reclassification of VM will depend upon the discovery and validation of these biomarkers.

A Novel Diagnostic Prediction Model for Vestibular Migraine

BACKGROUND

Increasing morbidity and misdiagnosis of vestibular migraine (VM) gravely affect the treatment of the disease as well as the patients' quality of life. A powerful diagnostic prediction model is of great importance for management of the disease in the clinical setting.

MATERIALS AND METHODS

Patients with a main complaint of dizziness were invited to join this prospective study. The diagnosis of VM was made according to the International Classification of Headache Disorders. Study variables were collected from a rigorous questionnaire survey, clinical evaluation, and laboratory tests for the development of a novel predictive diagnosis model for VM.

RESULTS

A total of 235 patients were included in this study: 73 were diagnosed with VM and 162 were diagnosed with non-VM vertigo. Compared with non-VM vertigo patients, serum magnesium levels in VM patients were lower. Following the logistic regression analysis of risk factors, a predictive model was developed based on 6 variables: age, sex, autonomic symptoms, hypertension, cognitive impairment, and serum Mg²⁺ concentration. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was 0.856, which was better than some of the reported predictive models.

CONCLUSION

With high sensitivity and specificity, the proposed logistic model has a very good predictive capability for the diagnosis of VM. It can be used as a screening tool as well as a complementary diagnostic tool for primary care providers and other clinicians who are non-experts of VM.