Psychometric Properties of Trail Making Test and Symbol Digit Modalities Test among People with Post-COVID-19 Conditions and Healthy Controls: Sensitivity and Specificity Study

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Abstract

Objective: : This study aimed to assess the psychometric properties of the Trail Making Test (TMT) and Symbol Digit Modalities Test (SDMT) among individuals with post-COVID-19 conditions compared to healthy controls. Background: : Objectively identifying neurocognitive impairments post-COVID-19 in pilots is crucial for ensuring flight safety. TMT parts A and B and SDMT are potential screening tools; however, their sensitivity and specificity in detecting neurocognitive impairment in individuals with post-COVID-19 conditions require further evaluation. Methods: : This study included volunteers aged 18-65 with post-COVID-19 symptoms and a healthy control group. Quantitative data were collected via a survey, and qualitative data through interviews. Statistical analyses were performed using IBM SPSS version 29.0. Results: : Forty-eight post-COVID-19 patients participated. The area under the receiver operating characteristic curve was 0.85 for TMT Part B (p<0.001), 0.81 for SDMT (p<0.001), and 0.76 for TMT Part A (p=0.01). TMT Part B showed a sensitivity of 71.9%, specificity of 91.3%, and accuracy of 80%. The SDMT had a sensitivity, specificity, and accuracy of 53.1 %, 95.6%, and 70.9 %, respectively. TMT Part A had a sensitivity of 71.9%, specificity of 78.3%, and accuracy of 74.5%. Conclusion: : TMT Part B had the highest area under the curve, demonstrating excellent discriminative power. It is also a sensitive and specific tool for identifying pilots that require comprehensive neuropsychological evaluation. A large-scale study is warranted to establish an aircrew-specific normative dataset.
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Psychometric Properties of Trail Making Test and Symbol Digit Modalities Test among People with Post-COVID-19 Conditions and Healthy Controls: Sensitivity and Specificity Study | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 11 January 2025 V1 Latest version Share on Psychometric Properties of Trail Making Test and Symbol Digit Modalities Test among People with Post-COVID-19 Conditions and Healthy Controls: Sensitivity and Specificity Study Authors : Solomon Gurmu Beka 0000-0002-6005-2107 [email protected] , Griffiths Rob , Myers Julia A , and Skirrow Paul Authors Info & Affiliations https://doi.org/10.22541/au.173659641.17170121/v1 517 views 163 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Objective : This study aimed to assess the psychometric properties of the Trail Making Test (TMT) and Symbol Digit Modalities Test (SDMT) among individuals with post-COVID-19 conditions compared to healthy controls. Background : Objectively identifying neurocognitive impairments post-COVID-19 in pilots is crucial for ensuring flight safety. TMT parts A and B and SDMT are potential screening tools; however, their sensitivity and specificity in detecting neurocognitive impairment in individuals with post-COVID-19 conditions require further evaluation. Methods : This study included volunteers aged 18-65 with post-COVID-19 symptoms and a healthy control group. Quantitative data were collected via a survey, and qualitative data through interviews. Statistical analyses were performed using IBM SPSS version 29.0. Results : Forty-eight post-COVID-19 patients participated. The area under the receiver operating characteristic curve was 0.85 for TMT Part B (p<0.001), 0.81 for SDMT (p<0.001), and 0.76 for TMT Part A (p=0.01). TMT Part B showed a sensitivity of 71.9%, specificity of 91.3%, and accuracy of 80%. The SDMT had a sensitivity, specificity, and accuracy of 53.1 %, 95.6%, and 70.9 %, respectively. TMT Part A had a sensitivity of 71.9%, specificity of 78.3%, and accuracy of 74.5%. Conclusion : TMT Part B had the highest area under the curve, demonstrating excellent discriminative power. It is also a sensitive and specific tool for identifying pilots that require comprehensive neuropsychological evaluation. A large-scale study is warranted to establish an aircrew-specific normative dataset. Supplementary Material File (psychometric properties of tmt and sdmt-jclp-25-0027.docx) Download 280.52 KB Information & Authors Information Version history V1 Version 1 11 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords assessment clinical psychology cognitive functioning neuropsychology Authors Affiliations Solomon Gurmu Beka 0000-0002-6005-2107 [email protected] University of Otago Wellington Department of Medicine View all articles by this author Griffiths Rob University of Otago Wellington Department of Medicine View all articles by this author Myers Julia A University of Otago Wellington Department of Medicine View all articles by this author Skirrow Paul University of Otago Wellington Department of Psychological Medicine View all articles by this author Metrics & Citations Metrics Article Usage 517 views 163 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Solomon Gurmu Beka, Griffiths Rob, Myers Julia A, et al. Psychometric Properties of Trail Making Test and Symbol Digit Modalities Test among People with Post-COVID-19 Conditions and Healthy Controls: Sensitivity and Specificity Study. Authorea . 11 January 2025. DOI: https://doi.org/10.22541/au.173659641.17170121/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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