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DOI: 10.1590/0004-282X-ANP-2022-S109
Differential diagnosis of demyelinating diseases: what's new?
Diagnóstico diferencial das doenças desmielinizantes: o que há de novo?ABSTRACT
Background: Acquired demyelinating disorders lead to overlapping visual, pyramidal, sensory, autonomic, and cerebellar deficits and may lead to severe disability. Early diagnosis and start of treatment are fundamental towards preventing further attacks and halting disability. Objective: In this paper we provide an updated overview of the differential diagnoses of acquired demyelinating disorders. Methods: We performed a critical targeted review of the diagnoses of the most prevalent demyelinating disorders: multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody disease (MOGAD). Results: We discuss the workup, diagnostic criteria and new biomarkers currently being used for the diagnosis of these disease entities taking into account the particularities of the Brazilian population and healthcare system. Conclusion: A comprehensive analysis of medical history, physical examination, biomedical and imaging data should be performed to obtain differential diagnosis. Diagnostic criteria should be mindfully employed considering ethnic and environmental particularities of each patient.
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RESUMO
Antecedentes: Doenças desmielinizantes adquiridas levam a déficits visuais, piramidais, sensitivos, autonômicos e cerebelares que se sobrepõem e podem conduzir a grave incapacidade. O diagnóstico e o início de tratamento precoces são fundamentais para a prevenção de surtos e ocorrência de incapacidade. Objetivo: Neste artigo, apresentamos uma visão geral atualizada sobre o diagnóstico diferencial de doenças desmielinizantes adquiridas. Métodos: Realizamos uma revisão crítica sobre o diagnóstico das doenças desmielinizantes mais prevalentes: esclerose múltipla (EM), doença do espectro neuromielite óptica (NMOSD) e doença associada ao anticorpo contra a glicoproteína da mielina do oligodendrócito (MOGAD). Resultados: Discutimos a investigação, os critérios diagnósticos e os novos biomarcadores atualmente empregados para o diagnóstico dessas doenças, levando em conta as particularidades da população e sistema de saúde brasileiros. Conclusão: Uma análise minuciosa do histórico médico, exame neurológico e exames biomédicos e de imagem deve ser realizada para se fazer um diagnóstico diferencial de doença desmielinizante. Critérios diagnósticos devem ser empregados cautelosamente considerando-se particularidades étnicas e ambientais de cada paciente.
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Keywords:
Multiple Sclerosis - Neuromyelitis Optica - Myelin-Oligodendrocyte Glycoprotein - DiagnosisPalavras-chave:
Esclerose Múltipla - Neuromielite Óptica - Glicoproteína Mielina-Oligodendrócito - DiagnósticoINTRODUCTION
Acquired demyelinating disorders, such as multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody disease (MOGAD) compromise the optic nerves, brain and spinal cord and lead to a range of clinical symptoms including visual, pyramidal, sensory, autonomic, and cerebellar deficits. The diseases affect mainly young individuals and may lead to severe disability. In fact, MS is the second leading cause of disability of young adults in developed countries[1].
Prompt diagnosis and initiation of treatment are essential towards preventing attacks and halting the accumulation of disabilities. The ability to perform accurate differential diagnoses is crucial to the good prognosis of patients, however it can be extremely challenging, as the field is dynamic and expanding, different disease entities clinically overlap and access to specific assays is still limited in certain settings.
This paper aims to provide an updated practical approach on how to perform the differential diagnoses of suspected acquired demyelinating syndromes taking into account the particularities of the Brazilian population and healthcare system.
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METHODS
We performed a targeted literature review pertaining to the diagnosis of MS, NMOSD and MOGAD. Resulting evidence was jointly critically appraised by a junior and a senior neuroimmunologist.
Epidemiological/demographic update: prevalence of ADS in Brazil
Estimating the prevalence of demyelinating disorders in Brazil is challenging due to the absence of representative country-wide prevalence studies, heterogeneous access to qualified health systems and the ethnically diverse population. Nonetheless, a metanalysis described a national MS prevalence of 8.69/100,000 (95% CI: 6.0-12.6), with an association between the prevalence of MS and latitude of study location (OR=1.09; 95% CI: 1.04-1.14), ethnic composition (OR=1.03; 95% CI: 1.01-1.05) and weather. The authors identified a 9% increase in the prevalence rate of MS for the increase of each degree in latitude and a 3% raise in the prevalence of MS for every degree increase in the proportion of white people[2].
The prevalence of NMOSD is also heterogeneous and influenced by the population’s ethnical background. Different studies report prevalences in Brazil that range from 0.37 to 4.52/100,000 inhabitants with a north-south gradient decrease in the risk of developing NMOSD[3],[4]. Prevalence and disease phenotypes are influenced by ethnicity, and worse clinical outcomes are associated with Asian, African and Latin American ancestry[5].
MOGAD incidence rates worldwide range from 0.16 to 1.4 per 100,000[6]. The proportion of MOG-IgG related acquired demyelinating syndromes (ADS) decreases with age. Higher disease incidences have been reported in pediatric cohorts (39%), than among mixed cohorts of children and adults (29%) or adults (23%)[6]. Ethnicity initially seemed to not be as important with 78-90% (MOGAD) versus 60-63% (NMOSD) of Caucasians, however Brazilian data suggests that it may play a role in the prevalence of the disease[7],[8]. The nationwide estimations of the prevalence of MOGAD have not yet been published.
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Diagnosis of demyelinating disorders
Demyelinating disorders lead to overlapping clinical syndromes. A methodical diagnostic approach, including thorough investigation of the medical history, neurological examination and complementary tests is helpful towards performing differential diagnoses ([Table 1]). Unfortunately, not all tests are available in the Brazilian public health system, therefore mindful investigation is suggested to prevent unnecessary financial expenses.
AQP4-IgG: Anti aquaporin-4 antibody; MOG-IgG: Myelin Oligodendrocyte glycoprotein antibody.
The diagnoses can be obtained through the interpretation of the medical history, neurological examination, biomedical/imaging tests and application of current diagnostic criteria[9],[10] ([Tables 2], [3] and [4]).
The 2017 McDonald criteria for diagnosis of multiple sclerosis in patients with an attack at onset[9] |
||
---|---|---|
Number of attacks |
Number of lesions with objective clinical evidence |
Additional data needed for a diagnosis of multiple sclerosis |
≥2 clinical attacks |
≥2 |
None |
≥2 clinical attacks |
1 (as well as clear-cut historical evidence of a previous attack involving a lesion in a distinct anatomical location |
None |
≥2 clinical attacks |
1 |
Dissemination in space demonstrated by an additional clinical attack implicating a different CNS site or by MRI |
1 clinical attack |
≥2 |
Dissemination in time demonstrated by an additional clinical attack or by MRI OR demonstration of CSF-specific oligoclonal bands |
1 clinical attack |
1 |
Dissemination in space demonstrated by an additional clinical attack implicating a different CNS site or by MRI AND dissemination in time demonstrated by an additional clinical attack or by MRI OR demonstration of CSF-specific oligoclonal bands |
2017 McDonald criteria for diagnosis of multiple sclerosis in patients with a disease course characterized by progression from onset (primary progressive multiple sclerosis)[9] |
---|
Primary progressive multiple sclerosis can be diagnosed in patients with: |
1 year of disability progression (retrospectively or prospectively determined) independent of clinical relapse |
Plus two of the following criteria: |
One or more T2-hyperintense lesions characteristic of multiple sclerosis in one or more of the following brain regions: periventricular, cortical or juxtacortical, or infratentorial |
Two or more T2-hyperintense lesions in the spinal cord |
Presence of CSF-specific oligoclonal bands |
International consensus diagnostic criteria for neuromyelitis optica spectrum disorders[10] |
---|
Diagnostic criteria for NMOSD with AQP4-IgG |
1. At least 1 core clinical characteristic |
2. Positive test for AQP4-IgG using best available detection method (cell-based assay strongly recommended) |
3. Exclusion of alternative diagnoses |
Diagnostic criteria for NMOSD without AQP4-IgG or NMOSD with unknown AQP4-IgG status |
1. At least 2 core clinical characteristics occurring as a result of one or more clinical attacks and meeting all of the following requirements: |
a. At least 1 core clinical characteristic must be optic neuritis, acute myelitis with LETM, or area postrema syndrome |
b. Dissemination in space (2 or more different core clinical characteristics) |
c. Fulfillment of additional MRI requirements, as applicable |
2. Negative tests for AQP4-IgG using best available detection method, or testing unavailable |
3. Exclusion of alternative diagnoses |
Core clinical characteristics |
1. Optic neuritis |
2. Acute myelitis |
3. Area postrema syndrome: episode of otherwise unexplained hiccups or nausea and vomiting |
4. Acute brainstem syndrome |
5. Symptomatic narcolepsy or acute diencephalic clinical syndrome with NMOSD-typical diencephalic MRI lesions |
6. Symptomatic cerebral syndrome with NMOSD-typical brain lesions |
Additional MRI requirements for NMOSD without AQP4-IgG and NMOSD with unknown AQP4-IgG status |
1. Acute optic neuritis: requires brain MRI showing (a) normal findings or only nonspecific white matter lesions, OR (b) optic nerve MRI with T2-hyperintense lesion or T1-weighted gadolinium- enhancing lesion extending over .1/2 optic nerve length or involving optic chiasm |
2. Acute myelitis: requires associated intramedullary MRI lesion extending over 3 contiguous segments (LETM) OR 3 contiguous segments of focal spinal cord atrophy in patients with history compatible with acute myelitis |
3. Area postrema syndrome: requires associated dorsal medulla/area postrema lesions |
4. Acute brainstem syndrome: requires associated periependymal brainstem lesions |
To this day, the diagnosis of MOGAD still relies on the identification of the MOG-IgG antibody in serum. Live cell-based assays are the established gold standard for the identification of the antibody, due to its superior sensitivity and specificity[11]. Unlike what is observed in MS and NMOSD, a portion of patients with MOGAD present with monophasic disease and therefore, might have a MOG IgG serostatus switch over time regardless of immunosuppressive treatment. The final diagnosis of MOGAD should account for the medical history and clinical phenotype of the patient in addition to their serostatus, as a percentage of patients with MS may present with low titers of MOG-IgG, while employed assays may not be adequately sensitive to detect low antibody titers and clear diagnostic criteria for the disease have not yet been defined.
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Differential diagnosis
The careful interpretation of medical history, physical examination and additional investigation allows the distinction between the various acquired demyelinating syndromes ([Table 5]). It is important to highlight that the criteria currently used for the diagnosis of MS and NMOSD were developed and validated in populations with ethnic and environmental backgrounds distinct from what is observed in the Brazilian population, which might compromise the sensitivity and specificity of the criteria. Brazilian neurologists ought to be mindful to identify “red-flags” for atypical demyelinating syndromes and systematically rule out differential diagnoses, including endemic infectious diseases such as HLTV I/II and schistosomiasis.
Demographic, clinical, MRI and CSF features of MS, AQP4-IgG positive NMOSD and MOG-IgG associated disease. (Adapted from Hegen et al. Ther Adv Neurol Disord. 2020.) [6] |
|||
---|---|---|---|
Disease |
|||
MOGAD |
AQP4-IgG positive NMOSD |
MS |
|
Epidemiology |
|||
Brazilian prevalence (per 100,000) |
Unknown |
0.37- 4.52 |
8.69 |
Demographics |
|||
Female:male ratio |
1-2/1 |
8-9/1 |
3/1 |
Age at onset |
More often in childhood than adulthood |
>40 years |
20-30 years |
Clinical presentation |
|||
Clinical presentation |
ADEM-like (ADEM, MDEM, ADEM-optic neuritis, encephalitis) or opticospinal (optic neuritis, myelitis) or brainstem encephalitis |
Optic neuritis, myelitis, area postrema syndrome, brainstem syndrome, narcolepsy or acute diencephalic syndrome, cerebral syndrome with NMOSD-typical brain lesions |
Optic neuritis, myelitis, brainstem or cerebellar syndrome, cognitive dysfunction and symptoms caused by involvement of other MS-typical brain regions |
Disease course |
Monophasic and recurrent (recurrence often presents as optic neuritis) |
More often recurrent than monophasic |
Relapsing-remitting or chronic progressive |
Magnetic resonance imaging |
|||
Brain MRI |
ADEM-like, atypical for MS (fluffy lesions or three lesions or fewer) or no brain lesions |
Atypical for MS and/or lesions in the brainstem; or no brain lesions |
Multiple focal white matter lesions, ovoid lesions adjacent to the lateral ventricles, Dawson fingers, U-fibre subcortical lesions, T1 hypointense lesions |
Frequency of normal brain MRI at disease onset |
Up to 50% (depending on type of manifestation; normal brain MRI often seen in optic neuritis) |
Up 50% |
NA |
Spinal MRI |
Long-segment lesions (>3 vertebral segments); typically involving thoracolumbar segment and conus; confined to grey matter (H sign); contrast-enhancement infrequent |
Long-segment lesions (>3 vertebral segments); typically involving cervicothoracic segment; central cord predominance; contrast-enhancement frequent |
Short-segment lesions (<3 vertebral segments); axial peripheral (dorsal/lateral column); contrast-enhancement frequent |
Optic neuritis |
Bilateral more often than unilateral, often anterior optic pathway, long lesion, often recurrent, severe, good recovery |
Bilateral more often than unilateral, often posterior optic pathway, involvement of optic chiasma, long lesion, often recurrent, severe, often residual deficits |
Unilateral more often than bilateral; short lesion, good recovery |
Cerebrospinal fluid |
|||
Pleocytosis |
Common (>70% of patients) |
Common (>70% of patients) |
Moderate (<50% of patients) |
Cytology |
Mononuclear, but neutrophils can occur (in up to ~50% of samples) |
Mononuclear, but neutrophils can occur (in up to ~50% of samples) |
Mononuclear |
OCBs |
Rare (<10-20% of patients) |
Rare (<10% of patients) |
Common (>90% of patients) |
Optical coherence tomography |
|||
Axonal damage (assessed, e.g., by pRNFL decrease) |
Moderate (per optic neuritis attack) |
Severe (per optic neuritis attack) |
Moderate (per optic neuritis attack) |
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Role of novel biomarkers
Optical coherence tomography (OCT) is an imaging technique which uses infrared light in a similar manner to that of the ultrasound to measure different biological tissue's backscatter, getting micrometer-resolution images. When used in the retina, it allows the reconstruction of tomographic maps and quantification of axons of the retinal nerve fiber layer (RNFL) and neurons of the macular ganglion cell layer (mGCL)[12]. OCT has consistently been used to screen for subclinical optical abnormalities in patients with demyelinating disorders, however data shows associations between reduced RNFL/mGCL and neurodegeneration with correlations to types of MS, disability and cognitive impairment[12]-[15]. In addition, distinct OCT patterns can be used as diagnostic biomarkers aiding in the differential diagnosis of MOGAD from other demyelinating disorders[16],[17].
Neurofilaments (Nf) are structural proteins involved in the radial growth and stability of neurons. Studies have demonstrated that Nf-l has a value as a scientifically useful biomarker of disease activity and therapy effectiveness of groups of patients with inflammatory diseases of the CNS, such as multiple sclerosis and clinically isolated syndrome[18]-[22]. It is currently not commonly used in clinical practice, as its measure is modulated by body-mass index (BMI), age, and comorbidities which compromise the definition of fixed cutoffs and individually pathological levels of Nf-l[23]. Recent data has shown that Nf-l levels can be clinically employed to predict disease activity and disease-modifying therapy effectiveness in the real world setting on an individual level if percentiles and Nf-l Z scores are used[23]. Nonetheless, the description is new and the practice still not widespread.
Glial fibrillary acidic protein (GFAP) is a principal intermediate filament that forms the astrocyte cytoskeleton and is regarded as a biomarker of astrocyte injury[24]. Evidence describes its role as a potential diagnostic and prognostic biomarker in NMOSD, a known astrocytopathy, however its use is still currently limited to scientific purposes[25],[26].
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DISCUSSION
Acquired demyelinating disorders lead to a plethora of clinical syndromes which are common among distinct nosologies. In the past 20 years, anti-aquaporin 4 antibodies (AQP4-IgG), anti-MOG antibodies (MOG- IgG) and their associated disease entities, AQP-4 IgG NMOSD and MOGAD, were described. Since then, making a differential diagnosis between the most prevalent acquired demyelinating disorders has become more challenging, especially in places where environmental and genetic conditions are distinct to those of the settings where studies guiding diagnostic criteria were carried out.
A methodical approach to the diagnostic process can aid in achieving timely accurate diagnoses. In addition to a thorough medical history and neurological examination, biomedical and imaging data can provide crucial information to aid in identifying each disease. Although clinical phenotypes often overlap, integrated analysis of demographic, clinical, biomedical, and imaging data is particular to each disease and therefore should be interpreted together.
As the field further develops, new technologies and biomarkers are systematically being studied and translated from the bench to the bedside. For now, it is suggested that neurologists examine the validity, specificity, and sensitivity for individual use of each new diagnostic tool before applying it in their routine diagnostic practice.
In conclusion, a comprehensive analysis of the diagnostic workup should be performed to obtain a differential diagnosis of an acquired demyelinating disorder. Diagnostic criteria should be mindfully employed considering ethnic and environmental particularities of each patient.
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Conflict of interest:
ABAGRG: received travel grants from Biogen and Roche; TA: received compensation for participating on Advisory Boards in the last 5 years from: Alexion, Biogen, Sanofi-Genzyme, Merck-Serono, Novartis, Roche and Teva Neuroscience; has received travel grants from Biogen, Merck-Serono and Roche.
Author’s contributions:
ABAGRG: wrote the review; TA: wrote and critically appraised the review.
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Address for correspondence
Publication History
Received: 16 March 2022
Accepted: 29 April 2022
Article published online:
06 February 2023
© 2022. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Koch-Henriksen N, Sørensen PS. The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol 2010; 9 (05) 520-532 https://doi.org/10.1016/S1474-4422(10)70064-8
- 2 Pereira ABCNG, Lacativa MCS, Pereira FFCC, Alvarenga RMP. Prevalence of multiple sclerosis in Brazil: a systematic review. Mult Scler Relat Disord 2015; 4 (06) 572-579 https://doi.org/10.1016/j.msard.2015.08.004
- 3 Alvarenga MP, Schimidt S, Alvarenga RP. Epidemiology of neuromyelitis optica in Latin America. Mult Scler J Exp Transl Clin 2017; 3 (03) 2055217317730098-2055217317730098 https://doi.org/10.1177/2055217317730098
- 4 Lana-Peixoto MA, Talim NC, Pedrosa D, Macedo JM, Santiago-Amaral J. Prevalence of neuromyelitis optica spectrum disorder in Belo Horizonte, Southeast Brazil. Mult Scler Relat Disord 2021; 50: 102807 https://doi.org/10.1016/j.msard.2021.102807
- 5 Pandit L, Asgari N, Apiwattanakul M, Palace J, Paul F, Leite MI. et al. Demographic and clinical features of neuromyelitis optica: a review. Mult Scler 2015; 21 (07) 845-853 https://doi.org/10.1177/1352458515572406
- 6 Hegen H, Reindl M. Recent developments in MOG-IgG associated neurological disorders. Ther Adv Neurol Disord 2020; 13: 1756286420945135-1756286420945135 https://doi.org/10.1177/1756286420945135
- 7 Dos Passos GR, Oliveira LM, Costa BK, Apostolos-Pereira SL, Callegaro D, Fujihara K. et al. MOG-IgG-Associated optic neuritis, encephalitis, and myelitis: lessons learned from neuromyelitis optica spectrum disorder. Front Neurol 2018; Apr 4; 9: 217 https://doi.org/10.3389/fneur.2018.00217
- 8 Papais-Alvarenga RM, Neri VC, Araújo ACRA, Silva EB, Alvarenga MP, Pereira ABCNG. et al. Lower frequency of antibodies to MOG in Brazilian patients with demyelinating diseases: an ethnicity influence?. Mult Scler Relat Disord 2018; 25: P87-P94 https://doi.org/10.1016/j.msard.2018.07.026
- 9 Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G. et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018; 17 (02) P162-P173 https://doi.org/10.1016/S1474-4422(17)30470-2
- 10 Wingerchuk DM, Banwell B, Bennett JL, Cabre P, Carroll W, Chitnis T. et al. International consensus diagnostic criteria for neuromyelitis optica spectrum disorders. Neurology 2015; 85 (02) 177-189 https://doi.org/10.1212/WNL.2022s1092022s1091729
- 11 Yeh EA, Nakashima I. Live-cell based assays are the gold standard for anti-MOG-Ab testing. Neurology 2019; 92 (11) 501-502 https://doi.org/10.1212/WNL.2022s1092022s1097077
- 12 Alonso R, Gonzalez-Moron D, Garcea O. Optical coherence tomography as a biomarker of neurodegeneration in multiple sclerosis: a review. Mult Scler Relat Disord 2018; 22: P77-P82 https://doi.org/10.1016/j.msard.2018.03.007
- 13 Toledo J, Sepulcre J, Salinas-Alaman A, García-Layana A, Murie-Fernandez M, Bejarano B. et al. Retinal nerve fiber layer atrophy is associated with physical and cognitive disability in multiple sclerosis. Mult Scler 2008; 14 (07) 906-912 https://doi.org/10.1177/1352458508090221
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