Literature DB >> 21597112

Neural respiratory drive as a physiological biomarker to monitor change during acute exacerbations of COPD.

Patrick B Murphy1, Atul Kumar, Charles Reilly, Caroline Jolley, Stephan Walterspacher, Fiammetta Fedele, Nicholas S Hopkinson, William D-C Man, Michael I Polkey, John Moxham, Nicholas Hart.   

Abstract

BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease have a significant negative impact on both patients and healthcare systems. Currently, there are no physiological biomarkers that effectively monitor clinical change or predict respiratory readmission. Acute exacerbations impose a change in the respiratory muscle load-capacity-drive relationship. It was hypothesised that lack of a fall in neural respiratory drive would identify patients at risk of treatment failure and early hospital readmission.
METHODS: An observational study was performed at two UK teaching hospitals. Routine clinical physiological parameters and neural respiratory drive index (NRDI), calculated as the product of second intercostal space parasternal electromyography (EMG) activity normalised to the peak EMG activity during a maximum inspiratory sniff manoeuvre and respiratory rate, were recorded daily from admission to discharge.
RESULTS: 30 acutely unwell patients of mean (SD) age 72 (10) years, forced expiratory volume in 1 s 0.60 (1.65) l, NRDI 455 (263) AU and median length of stay 6 days were studied. Changes in NRDI correlated with changes in Borg score (r=+0.60; p<0.001), discriminated between patients deemed to have clinically improved rather than deteriorated (mean difference 339 AU; 95% CI 234 to 444; p<0.001) and identified those patients readmitted within 14 days (mean difference 203 AU; 95% CI 39 to 366; p=0.017).
CONCLUSIONS: NRDI is a feasible clinical physiological parameter in patients with an acute exacerbation of chronic obstructive pulmonary disease and can provide useful information on treatment response and risk of readmission.

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Year:  2011        PMID: 21597112     DOI: 10.1136/thx.2010.151332

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


  29 in total

Review 1.  Acute monitoring of patients with chronic respiratory disease during hospital admission.

Authors:  B Ronan O'Driscoll; Peter Murphy; Peter M Turkington
Journal:  Clin Med (Lond)       Date:  2012-02       Impact factor: 2.659

2.  Efficiency of neural respiratory drive for the assessment of bronchodilator responsiveness in patients with chronic obstructive pulmonary disease: an exploratory study.

Authors:  Yun Li; Yin-Huan Li; Shuo Li; Yu-Wen Luo; Rui Xiao; Yu-Xia Huang; Jin-Lun Huang; Yi-Tai Chen; Rong-Chang Zhi; Xin Chen
Journal:  J Thorac Dis       Date:  2016-05       Impact factor: 2.895

3.  Diaphragm electromyographic activity as a predictor of weaning failure.

Authors:  Martin Dres; Matthieu Schmidt; Alexis Ferre; Julien Mayaux; Thomas Similowski; Alexandre Demoule
Journal:  Intensive Care Med       Date:  2012-09-26       Impact factor: 17.440

4.  Dyspnea and surface inspiratory electromyograms in mechanically ventilated patients.

Authors:  Matthieu Schmidt; Félix Kindler; Stewart B Gottfried; Mathieu Raux; Francois Hug; Thomas Similowski; Alexandre Demoule
Journal:  Intensive Care Med       Date:  2013-04-11       Impact factor: 17.440

Review 5.  Unrecognized suffering in the ICU: addressing dyspnea in mechanically ventilated patients.

Authors:  Matthieu Schmidt; Robert B Banzett; Mathieu Raux; Capucine Morélot-Panzini; Laurence Dangers; Thomas Similowski; Alexandre Demoule
Journal:  Intensive Care Med       Date:  2013-10-17       Impact factor: 17.440

6.  Parasternal intercostal electromyography: a novel tool to assess respiratory load in children.

Authors:  Victoria MacBean; Caroline J Jolley; Timothy G Sutton; Akash Deep; Anne Greenough; John Moxham; Gerrard F Rafferty
Journal:  Pediatr Res       Date:  2016-04-13       Impact factor: 3.756

7.  Patent foramen ovale is not associated with hypoxemia in severe chronic obstructive pulmonary disease and does not impair exercise performance.

Authors:  Zarrin F Shaikh; Julia L Kelly; Dinesh Shrikrishna; Manuel de Villa; Michael J Mullen; Nicholas S Hopkinson; Mary J Morrell; Michael I Polkey
Journal:  Am J Respir Crit Care Med       Date:  2014-03-01       Impact factor: 21.405

8.  High pressure versus high intensity noninvasive ventilation in stable hypercapnic chronic obstructive pulmonary disease: a randomized crossover trial.

Authors:  Patrick B Murphy; Kate Brignall; John Moxham; Michael I Polkey; A Craig Davidson; Nicholas Hart
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-12-11

9.  Machine-learning based feature selection for a non-invasive breathing change detection.

Authors:  Juliana Alves Pegoraro; Sophie Lavault; Nicolas Wattiez; Thomas Similowski; Jésus Gonzalez-Bermejo; Etienne Birmelé
Journal:  BioData Min       Date:  2021-07-18       Impact factor: 2.522

10.  Neural mechanisms underlying breathing complexity.

Authors:  Agathe Hess; Lianchun Yu; Isabelle Klein; Marine De Mazancourt; Gilles Jebrak; Hervé Mal; Olivier Brugière; Michel Fournier; Maurice Courbage; Gaelle Dauriat; Elisabeth Schouman-Clayes; Christine Clerici; Laurence Mangin
Journal:  PLoS One       Date:  2013-10-03       Impact factor: 3.240

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