Abstract
Introduction: In 2016 and 2017, new diagnostic criteria were proposed for the diagnosis of multiple sclerosis (MS) prompting the need to investigate their sensitivity and specificity.
Objectives: To retrospectively compare the 2016 MAGNIMS with the 2017 McDonald criteria by evaluating their accuracy of predicting the conversion to MS in a single-centric cohort of patients diagnosed with clinically isolated syndrome (CIS) according to the 2010 McDonald criteria.
Methods: The retrospective analysis was performed at the Bern University Hospital in Switzerland (ethical approval: KEK-BE 2017-01369). It was investigated if at the time point of CIS diagnosis, patients already fulfilled the 2017 McDonald, the 2016 MAGNIMS or three modified sets of diagnostic criteria. Parameters of disease activity were retrospectively assessed until clinical and/or radiological conversion to MS or in non-converters for a maximum of 5 years.
Results: From the 127 included patients, 67 (52.8%) converted clinically and/or radiologically to MS (median duration: 1.1 years, 25th-75th percentile: 0.6-2.1). Retrospectively applying the 2017 McDonald and 2016 MAGNIMS criteria to patients with CIS and investigating the conversion to MS, resulted in a sensitivity of 0.89 (mean, 95% confidence interval: 0.78-0.95) and 0.6 (0.47-0.72) and a specificity of 0.31 (0.2-0.44) and 0.5 (0.37-0.63), respectively. Adding individual modifications, i.e. optic nerve involvement or requirement of ≥3 periventricular lesions for periventricular involvement to the 2017 McDonald criteria and presence of oligoclonal bands to the 2016 MAGNIMS criteria, did not increase the predictive accuracy.
Conclusions: The 2017 McDonald criteria had the highest predictive accuracy in estimating the conversion from CIS to MS. Therefore, we conclude that the 2017 McDonald criteria are a valuable tool for the early diagnosis of MS in the real world setting.
Objectives: To retrospectively compare the 2016 MAGNIMS with the 2017 McDonald criteria by evaluating their accuracy of predicting the conversion to MS in a single-centric cohort of patients diagnosed with clinically isolated syndrome (CIS) according to the 2010 McDonald criteria.
Methods: The retrospective analysis was performed at the Bern University Hospital in Switzerland (ethical approval: KEK-BE 2017-01369). It was investigated if at the time point of CIS diagnosis, patients already fulfilled the 2017 McDonald, the 2016 MAGNIMS or three modified sets of diagnostic criteria. Parameters of disease activity were retrospectively assessed until clinical and/or radiological conversion to MS or in non-converters for a maximum of 5 years.
Results: From the 127 included patients, 67 (52.8%) converted clinically and/or radiologically to MS (median duration: 1.1 years, 25th-75th percentile: 0.6-2.1). Retrospectively applying the 2017 McDonald and 2016 MAGNIMS criteria to patients with CIS and investigating the conversion to MS, resulted in a sensitivity of 0.89 (mean, 95% confidence interval: 0.78-0.95) and 0.6 (0.47-0.72) and a specificity of 0.31 (0.2-0.44) and 0.5 (0.37-0.63), respectively. Adding individual modifications, i.e. optic nerve involvement or requirement of ≥3 periventricular lesions for periventricular involvement to the 2017 McDonald criteria and presence of oligoclonal bands to the 2016 MAGNIMS criteria, did not increase the predictive accuracy.
Conclusions: The 2017 McDonald criteria had the highest predictive accuracy in estimating the conversion from CIS to MS. Therefore, we conclude that the 2017 McDonald criteria are a valuable tool for the early diagnosis of MS in the real world setting.
| Original language | English |
|---|---|
| Pages (from-to) | 620-622 |
| Number of pages | 3 |
| Journal | Multiple Sclerosis Journal |
| Volume | 24 |
| Issue number | 2, Suppl. |
| DOIs | |
| Publication status | Published - Oct 2018 |
| Externally published | Yes |
Fingerprint
Dive into the research topics of 'Creating accurate reference segmentations of deep GM structures in MS patients by fast semi-automated outlining'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver