Myotonic dystrophy severity with respect to the outcome measures

Progressive multisystem disorders of Myotonic dystrophy (MD) due to high number of repeats of Cytosine-Thymine-Guanine (CTG) or Cellular nucleic acid-binding protein (CCTG) in CNBP gene are one-dimensional measure of intensity of MD1, MD2 respectively. Manifestations of MD by multidimensional effects require appropriate aggregation method and validation with CTG/CCTG repeats. Management of symptoms by physical and occupational therapies and outcome measures are important for monitoring and treatment of MD. Outcome measures in ordinal scales containing K-point items like muscle impairment rating scale (MIRS) and other performance based measures in clinical trials suffer from methodological limitations. The paper suggests a method to convert ordinal item scores to continuous, equidistant scores following normal distribution and scale score (S-scores) as sum of such item scores. S-scores can be added to get battery scores (B-scores) reflecting MD severity with respect to the outcome measures. Normally distributed S-scores and B-scores satisfy desired properties, help to undertake parametric analysis to compare status and progression of patients and group of patients including assessment of effectiveness of treatment plans, equivalent scores of two scales and better estimates of reliability, validity and their relationships. The suggested B-scores reflecting MD severity with respect to the outcome measures is recommended.

Authors

Publication Details

Journal
Medical Case Chronicles and Case Investigations
Published
2024-12-20
DOI
https://doi.org/10.64347/3064-710x/mccci.006
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Myotonic dystrophy severity with respect to the outcome measures

Satyendra Nath Chakrabartty
Medical Case Chronicles and Case Investigations
Genetic Neurodegenerative Diseases
article

Myotonic dystrophy severity with respect to the outcome measures

Satyendra Nath Chakrabartty
article en

Abstract

Progressive multisystem disorders of Myotonic dystrophy (MD) due to high number of repeats of Cytosine-Thymine-Guanine (CTG) or Cellular nucleic acid-binding protein (CCTG) in CNBP gene are one-dimensional measure of intensity of MD1, MD2 respectively. Manifestations of MD by multidimensional effects require appropriate aggregation method and validation with CTG/CCTG repeats. Management of symptoms by physical and occupational therapies and outcome measures are important for monitoring and treatment of MD. Outcome measures in ordinal scales containing K-point items like muscle impairment rating scale (MIRS) and other performance based measures in clinical trials suffer from methodological limitations. The paper suggests a method to convert ordinal item scores to continuous, equidistant scores following normal distribution and scale score (S-scores) as sum of such item scores. S-scores can be added to get battery scores (B-scores) reflecting MD severity with respect to the outcome measures. Normally distributed S-scores and B-scores satisfy desired properties, help to undertake parametric analysis to compare status and progression of patients and group of patients including assessment of effectiveness of treatment plans, equivalent scores of two scales and better estimates of reliability, validity and their relationships. The suggested B-scores reflecting MD severity with respect to the outcome measures is recommended.

Medical Case Chronicles and Case InvestigationsVol. 01(02)
Good health and well-being
Openalex Percentile: Top 72%
Genetic Neurodegenerative Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.