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dc.contributor.authorQuinn, Colin
dc.contributor.authorMcmillan, Corey T.
dc.contributor.authorOwegi, Margaret A.
dc.contributor.authorAlmasy, Kelly
dc.contributor.authorDouthwright, Catherine
dc.contributor.authorMckenna-Yasek, Diane
dc.contributor.authorGoyal, Namita A.
dc.contributor.authorBerry, James
dc.contributor.authorBrown, Robert H. Jr.
dc.date2022-08-11T08:08:10.000
dc.date.accessioned2022-08-23T15:45:15Z
dc.date.available2022-08-23T15:45:15Z
dc.date.issued2021-08-04
dc.date.submitted2021-08-27
dc.identifier.citation<p>Quinn C, Mcmillan CT, Owegi MA, Almasy K, Douthwright C, Mckenna-Yasek D, Goyal NA, Berry J, Brown RH. Single breath counting is an effective screening tool for forced vital capacity in ALS. Amyotroph Lateral Scler Frontotemporal Degener. 2021;22(sup1):5-8. doi: 10.1080/21678421.2021.1915337. PMID: 34348533. <a href="https://doi.org/10.1080/21678421.2021.1915337">Link to article on publisher's site</a></p>
dc.identifier.issn2167-8421 (Linking)
dc.identifier.doi10.1080/21678421.2021.1915337
dc.identifier.pmid34348533
dc.identifier.urihttp://hdl.handle.net/20.500.14038/27485
dc.description.abstractObjective: To measure the correlation between single breath counting (SBC) and forced vital capacity (liters, FVCL) in amyotrophic lateral sclerosis (ALS) patients and to define the utility of SBC for determining when patients meet the threshold for initiation of noninvasive positive pressure ventilation (FVC < 50% predicted [FVCpred]). Methods: Both patient paced (SBCpp) or externally paced (SBCep) counting along with FVCL+pred and standard clinical data were collected. Linear regression was used to examine SBCpp and SBCep as a predictor of FVCL. Receiver operating characteristic curve analysis evaluated the sensitivity and specificity of SBC categorically predicting FVCpred of < /=50%. Results: In 30 ALS patients, SBC explained a moderate proportion of the variance in FVCL (SBCpp: R(2)= 0.431, p < 0.001; SBCep: R(2) = 0.511, p < 0.01); this proportion improved when including covariates (SBCpp: R(2)= 0.635, p < 0.01; SBCep: R(2)= 0.657, p < 0.01). Patients with minimal speech involvement performed similarly in unadjusted (SBCpp: R(2) = 0.511, p < 0.01; SBCep: R(2)= 0.595, p < 0.01) and adjusted (SBCpp: R(2) = 0.634, p < 0.01; SBCep: R(2)= 0.650, p < 0.01) models. SBCpp had 100% sensitivity and 60% specificity (area under curve (AUC) = 0.696) for predicting FVCpred < 50%. SBCep had 100% sensitivity and 56% specificity (AUC = 0.696). With minimal speech involvement SBCpp and SBCep both had 100% sensitivity and 76.1% specificity (SPCpp: AUC = 0.845; SBCep: AUC = 0.857). Conclusions: SBC explains a moderate proportion of variance in FVC and is an extremely sensitive marker of poor FVC. When FVC cannot be obtained, such as during the current COVID-19 pandemic, SBC is helpful in directing patient care.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=34348533&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSingle breath count
dc.subjectamyotrophic lateral sclerosis
dc.subjectbiomarker
dc.subjectneuromuscular disease
dc.subjectventilation
dc.subjectDiagnosis
dc.subjectInfectious Disease
dc.subjectNervous System Diseases
dc.subjectNeurology
dc.subjectVirus Diseases
dc.titleSingle breath counting is an effective screening tool for forced vital capacity in ALS
dc.typeJournal Article
dc.source.journaltitleAmyotrophic lateral sclerosis and frontotemporal degeneration
dc.source.volume22
dc.source.issuesup1
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1292&amp;context=covid19&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/covid19/287
dc.identifier.contextkey24527829
refterms.dateFOA2022-08-23T15:45:15Z
html.description.abstract<p>Objective: To measure the correlation between single breath counting (SBC) and forced vital capacity (liters, FVCL) in amyotrophic lateral sclerosis (ALS) patients and to define the utility of SBC for determining when patients meet the threshold for initiation of noninvasive positive pressure ventilation (FVC < 50% predicted [FVCpred]).</p> <p>Methods: Both patient paced (SBCpp) or externally paced (SBCep) counting along with FVCL+pred and standard clinical data were collected. Linear regression was used to examine SBCpp and SBCep as a predictor of FVCL. Receiver operating characteristic curve analysis evaluated the sensitivity and specificity of SBC categorically predicting FVCpred of < /=50%.</p> <p>Results: In 30 ALS patients, SBC explained a moderate proportion of the variance in FVCL (SBCpp: R(2)= 0.431, p < 0.001; SBCep: R(2) = 0.511, p < 0.01); this proportion improved when including covariates (SBCpp: R(2)= 0.635, p < 0.01; SBCep: R(2)= 0.657, p < 0.01). Patients with minimal speech involvement performed similarly in unadjusted (SBCpp: R(2) = 0.511, p < 0.01; SBCep: R(2)= 0.595, p < 0.01) and adjusted (SBCpp: R(2) = 0.634, p < 0.01; SBCep: R(2)= 0.650, p < 0.01) models. SBCpp had 100% sensitivity and 60% specificity (area under curve (AUC) = 0.696) for predicting FVCpred < 50%. SBCep had 100% sensitivity and 56% specificity (AUC = 0.696). With minimal speech involvement SBCpp and SBCep both had 100% sensitivity and 76.1% specificity (SPCpp: AUC = 0.845; SBCep: AUC = 0.857).</p> <p>Conclusions: SBC explains a moderate proportion of variance in FVC and is an extremely sensitive marker of poor FVC. When FVC cannot be obtained, such as during the current COVID-19 pandemic, SBC is helpful in directing patient care.</p>
dc.identifier.submissionpathcovid19/287
dc.contributor.departmentDepartment of Neurology
dc.source.pages5-8


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© 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Except where otherwise noted, this item's license is described as © 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.