Purpose: The St George's Respiratory Questionnaire (SGRQ) has clearly acquired the status of legacy questionnaire for measuring health-related quality of life in patients with chronic obstructive pulmonary disease (COPD). The main aim of this study was to assess the underlying dimensionality of the SGRQ and to investigate the added value of the empirical weights used to calculate total scores.
Methods: The official Dutch translation of the SGRQ was completed by 444 COPD patients participating in two clinical studies. These data were used for secondary data analysis in this study. Three complementary statistical methods were used to assess dimensionality: Mokken scale analysis (MSA), parametric multidimensional item response theory (IRT) and bifactor analysis. Additionally, the original SGRQ weighting procedure was compared to IRT-based weighting.
Results: The results of the MSA and multidimensional item response theory (MIRT) pointed toward a unidimensional structure. The bifactor analyses indicated that there was a strong general factor, but the group factors did have additional value. Nineteen items performed poorly in the MSA, MIRT analysis or both. Shortening the scale from 50 to 31 items did not negatively impact measurement precision. SGRQ total score and IRT-derived scores correlated strongly, 0.90 for the one-parameter model and 0.99 for the two-parameter model.
Conclusion: The SGRQ contains some multidimensionality, but an abbreviated version can be used as a unidimensional tool in patients with COPD. Subscale scores should be used with care. SGRQ total scores correlated highly with IRT-based scores, and thus, the weighting methods may be used interchangeably to calculate total scores.
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http://dx.doi.org/10.1007/s11136-013-0570-y | DOI Listing |
Respir Res
December 2024
National Jewish Health, Denver, USA.
Background: We sought consensus among practising respiratory physicians on the prediction, identification and monitoring of progression in patients with fibrosing interstitial lung disease (ILD) using a modified Delphi process.
Methods: Following a literature review, statements on the prediction, identification and monitoring of progression of ILD were developed by a panel of physicians with specialist expertise. Practising respiratory physicians were sent a survey asking them to indicate their level of agreement with these statements on a binary scale or 7-point Likert scale (- 3 to 3), or to select answers from a list.
J Pediatr
December 2024
Division of Emergency Medicine, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA.
Objective: To identify risk factors for clinically-important drowning-associated lung injury (ciDALI) in children.
Study Design: This was a cross-sectional study of children (0 through18 years) who presented to 32 pediatric emergency departments (EDs) from 2010 through 2017. We reviewed demographics, comorbidities, prehospital data, chest radiographs reports, and ED course from emergency medical services, medical, and fatality records.
J Infect
December 2024
UK Health Security Agency, London, United Kingdom.
Background: Disease severity and pregnancy outcomes following SARS-CoV-2 reinfections in pregnancy are not well understood.
Methods: We linked women aged 18 to 50 years testing positive in the community for COVID-19 between April 2021 and March 2022 to hospital, vaccine and maternal services databases. We compared hospital and intensive care unit (ICU) admission rates following infection and reinfection in pregnant and non-pregnant women, and low birthweight, prematurity and stillbirth in women infected and reinfected during pregnancy.
Transl Psychiatry
December 2024
Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
The high comorbidity of major depressive disorder (MDD) with other diseases has been well-documented. However, the pairwise causal connections for MDD comorbid networks are poorly characterized. We performed Phenome-wide Mendelian randomization (MR) analyses to explore bidirectional causal associations between MDD (N = 807,553) and 877 common diseases from FinnGen datasets (N = 377,277).
View Article and Find Full Text PDFPLoS One
December 2024
School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
The value of 'data-enabled', digital healthcare is evolving rapidly, as demonstrated in the COVID-19 pandemic, and its successful implementation remains complex and challenging. Harmonisation (within/between healthcare systems) of infrastructure and implementation strategies has the potential to promote safe, equitable and accessible digital healthcare, but guidance for implementation is lacking. Using respiratory technologies as an example, our scoping review process will capture and review the published research between 12th December 2013 to 12th December 2023.
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