spmsDx_no_fss {MSoutcomes}

Identification of secondary progressive multiple sclerosis without functional system scores and ambulation score

Description

Identify conversion from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS), using the CORe definition without Functional System Scores (FSS) of Expanded Disability Status Scale (EDSS). The identification of SPMS is based on clinical visit records, each record including entries for patient code, visit date, EDSS score, and days since most recent relapse. If a baseline EDSS score is not provided, this is determined as the first EDSS score recorded in the dataset, outside 30 days (the default) of a relapse. Following a relapse, the first EDSS score recorded in the dataset outside 30 days (the default) of a relapse, becomes the new baseline EDSS score. SPMS is sustained for the remainder of the follow-up, unless followed by two consecutive improvements in EDSS scores.

Usage

spmsDx_no_fss(
  visits,
  minEDSS = 4,
  tRelapse = 30,
  tProgression = 3 * 30.25,
  tRegression = 9 * 30.25,
  tRelProg = 6 * 30.25
)

Arguments

visits

A dataframe consisting of 6 columns: ID, dateEDSS, EDSS, dateBlineVisit, bEDSS (baseline EDSS), daysPostRelapse (days since most recent relapse).

minEDSS

Minimum EDSS score required to reach SPMS conversion.

tRelapse

Minimum time in days since the most recent relapse to EDSS assessment.

tProgression

SPMS confirmation period in days.

tRegression

Confirmation period for EDSS improvement in days.

tRelProg

Confirmation period (days) for re-baselining EDSS (after a relapse led to non-confirmed increase in EDSS).

Value

A data frame.

References

Lorscheider J, et al. Brain 2016; 139 (9): 2395-2405.

Brown JW, et al. JAMA 2019; 321 (2): 175-87.

Lizak N, et al. JAMA Neurology 2020; 77 (11): 1398-407.

Examples

data(SampleData)
output<-spmsDx_no_fss(SampleData)