| Literature DB >> 33154049 |
Anja M Raab1, Martin W G Brinkhof2, David J Berlowitz3,4, Karin Postma5, David Gobets6, Sven Hirschfeld7, Maria T E Hopman8, Burkhart Huber9, Margret Hund-Georgiadis10, Xavier Jordan11, Martin Schubert12, Renate Wildburger13, Gabi Mueller14.
Abstract
INTRODUCTION: Pneumonia is one of the leading complications and causes of death after a spinal cord injury (SCI). After a cervical or thoracic lesion, impairment of the respiratory muscles decreases respiratory function, which increases the risk of respiratory complications. Pneumonia substantially reduces patient's quality of life, may prolong inpatient rehabilitation time, increase healthcare costs or at worse, lead to early death. Respiratory function and coughing can be improved through various interventions after SCI, but the available evidence as to which aspect of respiratory care should be optimised is inconclusive. Furthermore, ability of respiratory function parameters to predict pneumonia risk is insufficiently established. This paper details the protocol for a large-scale, multicentre research project that aims to evaluate the ability of parameters of respiratory function to predict and understand variation in inpatient risk of pneumonia in SCI. METHODS AND ANALYSIS: RESCOM, a prospective cohort study, began recruitment in October 2016 across 10 SCI rehabilitation centres from Australia, Austria, Germany, the Netherlands and Switzerland. Inpatients with acute SCI, with complete or incomplete cervical or thoracic lesions, 18 years or older and not/no more dependent on 24-hour mechanical ventilation within the first 3 months after injury are eligible for inclusion. The target sample size is 500 participants. The primary outcome is an occurrence of pneumonia; secondary outcomes include pneumonia-related mortality and quality of life. We will use the longitudinal data for prognostic models on inpatient pneumonia risk factors. ETHICS AND DISSEMINATION: The study has been reviewed and approved by all local ethics committees of all participating centres. Study results will be disseminated to the scientific community through peer-reviewed journals and conference presentations, to the SCI community, other stakeholders and via social media, newsletters and engagement activities. TRIAL REGISTRATION DETAILS: ClinicalTrials.gov NCT02891096. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: epidemiology; rehabilitation medicine; respiratory infections
Mesh:
Year: 2020 PMID: 33154049 PMCID: PMC7646333 DOI: 10.1136/bmjopen-2020-038204
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Time frames for measurements (time-ponts: T1–T4) during inpatient rehabilitation. T1–T3 time-windows with days post injury (dpi) are shown by grey bars and T4 by the grey arrow above.
Figure 2Global scheme of the planned data analysis investigating the dynamic association between respiratory function and pneumonia. In regression modelling, all variables will be time-updated in accordance with the repeated measurement schedule of RESpiratory COMplications and controlling for between-person and between-centre sources of variance. Respiratory function is operationalised using parameters of respiratory muscle strength and parameters of lung function.