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. 2021 Apr 26;7(2):00709-2020.
doi: 10.1183/23120541.00709-2020. eCollection 2021 Apr.

Home parasternal electromyography tracks patient-reported and physiological measures of recovery from severe COPD exacerbation

Rebecca Francesca D'Cruz  1   2 , Eui-Sik Suh  1   3 , Georgios Kaltsakas  1   2 , Amy Dewar  4 , Neeraj Mukesh Shah  1   2 , Rita Priori  5 , Abdel Douiri  6 , Louise Rose  1   7 , Nicholas Hart  1   2 , Patrick Brian Murphy  1   2
Affiliations

Home parasternal electromyography tracks patient-reported and physiological measures of recovery from severe COPD exacerbation

Rebecca Francesca D'Cruz et al. ERJ Open Res. .

Abstract

Physiological phenotyping using daily home-based assessments reveals early improvement in load-capacity-drive imbalance following #AECOPD and feasibility of home parasternal electromyography measurement, which tracks symptoms, health status and spirometry https://bit.ly/3o6I0Ty.

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Conflict of interest statement

Conflict of interest: R.F. D'Cruz reports a Clinical Training Fellowship and Doctoral Research Fellowship (NIHR-INF-0415 and DRF-2018-11-ST2-037) from the National Institute for Health Research during the conduct of the study. Conflict of interest: E-S. Suh reports grants to his institution and fees for CPD approved activity from Philips Research outside the submitted work. Conflict of interest: G. Kaltsakas has nothing to disclose. Conflict of interest: A. Dewar has nothing to disclose. Conflict of interest: N.M. Shah reports grants from Breas, with the funds held and managed by Guy's and St Thomas’ NHS Foundation Trust, outside the submitted work. Conflict of interest: R. Priori is an employee of Philips Research. Conflict of interest: A. Douiri has nothing to disclose. Conflict of interest: L. Rose has nothing to disclose. Conflict of interest: N. Hart reports an unrestricted grant for the OPIP Trial from Philips Respironics, nonfinancial support for development of the Myotrace technology from Philips Respironics RT Meeting (Myotrace), and unrestricted research grants for the HoT-HMV Trial from RESMED and Philips Respironics, outside the submitted work; in addition, he has patents for Myotrace issued in Europe and pending in the USA. His research group has received unrestricted grants (managed by Guy's and St Thomas’ Foundation Trust) from Philips and RESMED. Philips are contributing to the development of the Myotrace technology. Conflict of interest: P.B. Murphy reports grants to his institution and fees for CPD approved activity from Philips, ResMed, F&P and Electromedical, personal fees for an advisory board from Santhera, and grants to his institution from GSK, outside the submitted work.

Figures

FIGURE 1
FIGURE 1
a) Daily measurements of neural respiratory drive index (NRDI) and Exacerbations of Chronic Pulmonary Disease Tool (EXACT) score, respiratory rate (fR) and peripheral oxygen saturation (SpO2) at admission (A), discharge (D) and at home for 30-days post-discharge or until hospital readmission (1–30 days) for each patient (1–12). Dashed lines indicate the day of EXACT-defined recovery, if reached (9-point reduction from peak score sustained for 7 days [9]), dotted lines indicate a day of healthcare utilisation, with light grey bars representing hospital readmission (subjects 1–3) and dark grey bars representing non-readmission re-exacerbation (subjects 4–5). b) Trajectory of patient-reported and physiological outcomes in non-readmitted patients (n=9). Data are presented as mean±sem, unless otherwise stated. Bold type represents statistical significance. bpm: breaths per min; mBorg: modified Borg scale for breathlessness; CAT: COPD Assessment Test; HR: heart rate; FEV1: forced expiratory volume in 1 s; FVC: forced vital capacity; IC: inspiratory capacity; EMGpara%max: normalised mean parasternal electromyography. #: repeated-measures ANOVA; : n=6; +: n=1 unable to perform pre-discharge spirometry due to breathlessness. *: p<0.05 compared to admission, post hoc comparisons with Bonferroni correction were performed if a significant f ratio was obtained by one-way repeated-measures ANOVA across all time points.
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