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M e R ef: Multivariable extrapolated reference values in motor nerve conduction studies
Author(s) -
Nandedkar Sanjeev D.,
Stålberg Erik V.,
Barkhaus Paul E.
Publication year - 2021
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.27195
Subject(s) - multivariable calculus , nerve conduction , linear regression , statistics , patient data , motor nerve , reference values , mathematics , regression analysis , standard deviation , medicine , surgery , computer science , anatomy , engineering , control engineering , database
In this study we describe a method called “multivariable extrapolated reference values” (MeRef) that derives reference values (RVs) using patient data and includes the dependence of these variables on multiple patient demographic variables, such as age and height. Methods Computer simulations were used to generate “normal” and “patient” nerve conduction data. Median, ulnar, and tibial motor nerve conduction data from 500 patients studied were tabulated. Data were analyzed using the MeRef method. Results The simulations showed great similarity between RVs obtained from MeRef of “patient” data and traditional analysis of “normal” data. In the real patient data, MeRef gave RVs as regression equations based on patient age and/or height. Discussion MeRef can provide RVs by including patient demographic data and does not require subject grouping. It provides parameters of multivariable linear regression and standard deviation, and requires a few hundred patient studies to define reference values.