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Single breath counting is an effective screening tool for forced vital capacity in ALS.
Quinn, Colin; Mcmillan, Corey T; Owegi, Margaret A; Almasy, Kelly; Douthwright, Catherine; Mckenna-Yasek, Diane; Goyal, Namita A; Berry, James; Brown, Robert H.
Afiliação
  • Quinn C; Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Mcmillan CT; Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Owegi MA; Department of Neurology, University of Massachusetts Medical School/UMass Memorial Medical Center, Worcester, MA, USA.
  • Almasy K; Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Douthwright C; Department of Neurology, University of Massachusetts Medical School/UMass Memorial Medical Center, Worcester, MA, USA.
  • Mckenna-Yasek D; Department of Neurology, University of Massachusetts Medical School/UMass Memorial Medical Center, Worcester, MA, USA.
  • Goyal NA; Department of Neurology, University of California, Irvine, CA, USA and.
  • Berry J; Healey Center at Massachusetts General Hospital, Boston, MA, USA.
  • Brown RH; Department of Neurology, University of Massachusetts Medical School/UMass Memorial Medical Center, Worcester, MA, USA.
Article em En | MEDLINE | ID: mdl-34348533
ABSTRACT

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]).

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 R2= 0.431, p < 0.001; SBCep R2 = 0.511, p < 0.01); this proportion improved when including covariates (SBCpp R2= 0.635, p < 0.01; SBCep R2= 0.657, p < 0.01). Patients with minimal speech involvement performed similarly in unadjusted (SBCpp R2 = 0.511, p < 0.01; SBCep R2= 0.595, p < 0.01) and adjusted (SBCpp R2 = 0.634, p < 0.01; SBCep R2= 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Esclerose Lateral Amiotrófica Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Esclerose Lateral Amiotrófica Idioma: En Ano de publicação: 2021 Tipo de documento: Article