Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/52713
Title: Exploring factors that prolong the diagnosis of myasthenia gravis.
Authors: Nguyen M.;Clough M.;Cruse B.;Van Der Walt A.;Fielding J.;White O.B.
Monash Health Department(s): Neurology
Institution: (Nguyen, Clough, Van Der Walt, Fielding, White) Department of Neuroscience, Monash Health, Melbourne, Australia
(Cruse) Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
(Nguyen, Van Der Walt) Department of Neurology, Alfred Health, Melbourne, Australia
Issue Date: 28-Oct-2024
Copyright year: 2024
Publisher: Lippincott Williams and Wilkins
Place of publication: United States
Publication information: Neurology: Clinical Practice. 14(1) (no pagination), 2024. Article Number: e200244. Date of Publication: 04 Jan 2024.
Journal: Neurology: Clinical Practice
Abstract: Background and Objectives Myasthenia gravis (MG) is a condition with significant phenotypic variability, posing a diagnostic challenge to many clinicians worldwide. Prolonged diagnosis can lead to reduced remission rates and morbidity. This study aimed to identify factors leading to a longer time to diagnosis in MG that could be addressed in future to optimize diagnosis time. Methods One hundred and ten patients from 3 institutions in Melbourne, Australia, were included in this retrospective cohort study. Demographic and clinical data were collected for these patients over the first 5 years from diagnosis and at 10 years. Nonparametric statistical analysis was used to identify factors contributing to a longer diagnosis time. Results The median time for MG diagnosis was 102 (345) days. 90% of patients were diagnosed before 1 year. Female patients took longer than male patients to be diagnosed (p = 0.013). The time taken for first presentation after symptom onset contributed most to diagnosis time (median 17 [141] days), with female patients and not working as contributory factors. Neurology referral took longer if patients had diplopia (p = 0.022), respiratory (p = 0.026) symptoms, or saw an ophthalmologist first (p < 0.001). Outpatient management compared with inpatient was associated with a longer time to be seen by a neurologist from referral (p < 0.001), for the first diagnostic result to return (p = 0.001), and for the result to be reviewed (p < 0.001). Ocular MG had a median greater time to neurologist review than generalized MG (median 5 [25] days vs 1 [13] days, p = 0.035). Electrophysiology tests took longer for outpatients than inpatients (median 21 [35] days vs 2 [8] days, p < 0.001). Outpatients were also started on treatment later than inpatients (p < 0.001). There was no association of MG severity, ethnicity, age, medical and ocular comorbidities, and public or private health service on diagnosis time. There was also no impact of time to diagnosis on Myasthenia Gravis Foundation of America outcomes, number of follow-ups or hospitalizations, or prevalence of treatments used. This study is limited by low patient numbers and its retrospective nature. Discussion This study identified several factors that can contribute to a prolonged diagnosis time of MG. Patient and clinician education about MG and outpatient diagnostic efficiency needs emphasis. Further studies are also needed to explore the delayed presentation time of women and nonworking patients in MG.Copyright © 2024 American Academy of Neurology.
DOI: https://dx.doi.org/10.1212/CPJ.0000000000200244
URI: https://repository.monashhealth.org/monashhealthjspui/handle/1/52713
Type: Article
Subjects: asbestosis
asthma
autoimmune thyroiditis
cerebrovascular accident
cholesteatoma
chronic kidney failure
chronic obstructive lung disease
depression
diabetes mellitus
dyslipidemia
epilepsy
glaucoma
inflammatory bowel disease
ischemic heart disease
melanoma
migraine
mouth cancer
myasthenia gravis
neurologic disease
neurology
peripheral paralysis
respiratory tract disease
rheumatic polymyalgia
rheumatoid arthritis
transient global amnesia
Type of Clinical Study or Trial: Observational study (cohort, case-control, cross sectional, or survey)
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