Amr M Fouad, Maged Abdel Naseer, Marwa Farghaly, Mohamed I Hegazy
{"title":"New algorithmic approach for easier and faster extended disability status scale calculation.","authors":"Amr M Fouad, Maged Abdel Naseer, Marwa Farghaly, Mohamed I Hegazy","doi":"10.1177/20552173231155055","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The traditional paper and pencil method for EDSS calculation (pEDSS) is the cornerstone of multiple sclerosis practice; however, it requires an expert for an accurate calculation, and it takes a lot of time to perform the function scores. A new algorithmic approach (aEDSS) has been developed for easier and faster assessment.</p><p><strong>Objective: </strong>To determine if using aEDSS can achieve good inter-rater agreement and save time compared to pEDSS.</p><p><strong>Subjects and methods: </strong>This study was conducted on 200 MS patients; EDSS was performed twice for each patient by two neurologists on the same day; one used the pEDSS, and the other used the aEDSS in a random order to test the inter-rater agreement regarding functional system scores and the final EDSS score and to detect the difference in the time needed for calculation between both methods.</p><p><strong>Results: </strong>The new algorithmic approach achieved excellent agreement with the traditional method (Kappa > 0.81) with a shorter calculation time (16 ± 2.67 min for aEDSS vs 31 ± 4.3 min for pEDSS, <i>P</i> < 0.0001).</p><p><strong>Conclusion: </strong>The new algorithmic approach could represent a suitable alternative to the traditional method, making EDSS calculation easier and faster.</p>","PeriodicalId":18961,"journal":{"name":"Multiple Sclerosis Journal - Experimental, Translational and Clinical","volume":"9 1","pages":"20552173231155055"},"PeriodicalIF":2.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/dc/69/10.1177_20552173231155055.PMC9936401.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple Sclerosis Journal - Experimental, Translational and Clinical","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20552173231155055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 2
Abstract
Background: The traditional paper and pencil method for EDSS calculation (pEDSS) is the cornerstone of multiple sclerosis practice; however, it requires an expert for an accurate calculation, and it takes a lot of time to perform the function scores. A new algorithmic approach (aEDSS) has been developed for easier and faster assessment.
Objective: To determine if using aEDSS can achieve good inter-rater agreement and save time compared to pEDSS.
Subjects and methods: This study was conducted on 200 MS patients; EDSS was performed twice for each patient by two neurologists on the same day; one used the pEDSS, and the other used the aEDSS in a random order to test the inter-rater agreement regarding functional system scores and the final EDSS score and to detect the difference in the time needed for calculation between both methods.
Results: The new algorithmic approach achieved excellent agreement with the traditional method (Kappa > 0.81) with a shorter calculation time (16 ± 2.67 min for aEDSS vs 31 ± 4.3 min for pEDSS, P < 0.0001).
Conclusion: The new algorithmic approach could represent a suitable alternative to the traditional method, making EDSS calculation easier and faster.