mssev 0.4.2

Calculates ARMSS and both local and global MSSS

python-mssev

This library contains several utilities and scores commonly used in multiple sclerosis studies.

Installation

pip install mssev

Usage

import mssev as ms

Calculating irreversible disability

If you want to calculate some irreversible disability score (such as the EDSS), you can do so with the following code:

followups['Irr_EDSS'] = ms.irreversible_ds(followups,
                                           id='ID', ds='EDSS', date='Date',
                                           min_period=np.timedelta64(6, 'M'))

Calculating the MSSS

The Multiple Sclerosis Severity Score (MSSS) is obtained by normalising the Expanded Disability Status Scale (EDSS) score for disease duration and has been a valuable tool in cross-sectional studies. You can read the original article here.

You can calculate the MSSS for every patient with the following:

patients['MSSS'] = ms.global_msss(patients, ds='Irreversible EDSS', duration='Duration')

If you want to calculate the MSSS for each follow-up assessment, you can do so like this:

followups['MSSS'] = ms.global_msss(followups, ds='EDSS', duration='Duration')

Calculating the ARMSS

The ARMSS (Age-Related Multiple Sclerosis Severity) score is the result of standardizing the EDSS by age. Using age for the calculation instead of disease duration offers several advantages, not least of which are its availability, ease of measurement and absence of bias.

If you want more information on the advantages of this score, I recommend that you read the original article, available here.

You can easily calculate the ARMSS for every patient like this:

patients['ARMSS'] = ms.global_armss(patients, ds='EDSS', age='Age')

Or alternatively, you can calculate it for every follow-up assessment like this:

followups['ARMSS'] = ms.global_armss(followups, ds='EDSS', age='Age')