Dataset Information

Preliminary Findings of a Dedicated Ocular Myasthenia Gravis Rating Scale: The OMGRate.

ABSTRACT: There is a pressing need for a robust rating scale for ocular myasthenia gravis (OMG). Rating scales for myasthenia gravis (MG) research have a predominant focus on generalised disease. We present results of the first dedicated rating scale for OMG: the ocular myasthenia gravis rating scale (OMGRate). The OMGRate was developed through an international collaboration between neuromuscular and neuro-ophthalmology experts in OMG. It comprises two components: a physician- examination (OMGRate-e) and a patient questionnaire (OMGRate-q).. The OMGRate was prospectively validated in patients attending a neuro-ophthalmology clinic from April 2017 to October 2018. External validity and reliability of OMGRate were evaluated using validated MG rating scales: the Myasthenia Gravis Composite (MGC), the Myasthenia Gravis Quality of Life (MG-QOL), and the ocular component from the Myasthenia Gravis Impairment Index questionnaire (MGII). Two hundred and eleven assessments were completed in 104 patients (67 males, mean age 55 y, range 18-86 y). There was very good external validity of the OMGRate: good correlation between OMGRate-e and MGC (r = 0.64, 95% confidence intervals [CI] 0.54-0.74, p < .0001); excellent correlation between OMGRate-q and MGII (r = 0.85, 95% CI 0.78-0.91, p < .0001) and good correlation between OMGRate and MG-QOL (r = 0.68, 95% CI 0.60-0.77, p < .0001). A higher correlation of OMGRate and MG-QOL compared with MGC and MG-QOL (r = 0.47, 95% CI 0.34-0.59, p < .0001) suggests that OMGRate is better able to capture significant QOL information in patients with OMG. It had excellent reliability with an intraclass correlation coefficient of 0.83 (95% CI 0.67-0.92). Feedback from examiners and patients indicated that the OMGRate was easy to use. In conclusion, OMGRate is an easy-to-use, valid and reliable rating scale for monitoring the severity of OMG.

SUBMITTER: Wong SH

PROVIDER: S-EPMC7202437 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Myasthenia gravis (MG) is an autoimmune disease affecting the neuromuscular junction, whose clinical hallmark is muscle weakness and early fatigability. Azathioprine (AZA) is commonly used in Myasthenia Gravis therapy. AZA is a purine antagonist, which inhibits the cell cycle in the resting and DNA synthesis phases. It is usually used as an immunosuppressant to block T- and B-cell proliferation. AZA, bioconverted to 6-mercaptopurine by glutathione S-transferase (GST), can be metabolized either through the hypoxanthine phosphoribosyl transferase pathway to active 6-thioguanine nucleotides (6-TGN) or through the thiopurine S-methyltransferase (TPMT) pathway to inactive methyl-thiopurine metabolites. The incorporation of active 6-TGNs into DNA, causing breaks in DNA strands resulting in interference with RNA production and thereby protein synthesis, is responsible for the drug effect. The response to AZA is determined by which metabolic pathway is being favored. While balanced use of both HPRT and TPMT pathways results in responsiveness to AZA, hyperactivity of TPMT skews the balance towards the TPMT pathway and results in unresponsiveness to AZA with no pharmacological effect. In contrast, low TPMT activity skews the balance towards the HPRT pathway, resulting in increasing side-effects due to the accumulation of 6-TGNs. Current treatments for MG therapy are often inadequate because less than 40% of patients achieve complete remission with available drugs. This reflects the lack of drugs acting on target sites for which there is strong evidence of pathogenicity and the inability to identify responder patients. No criteria for responsiveness are available, exposing patients to unpredictable failures and unpredictable side effects. These individuals are at particular risk for adverse drug reaction (ADRs) or therapeutic failure. Genetic profiling with the Affymetrix drug metabolizing enzymes and transports genotyping array offers the ability to determine 1,931 variants and 225 genes involved in drug metabolism and disposition. Accordingly, the study of well-known drug-metabolizing genes can be involved in the specific metabolic pathway of a drug, which is more likely to define genotype-phenotype association and thereby genotype profiles relevant to drug response that can be applied as predictive biomarkers for pharmacological treatment.

Dataset Information

Preliminary Findings of a Dedicated Ocular Myasthenia Gravis Rating Scale: The OMGRate.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets