Background: The current standards for the diagnosis and treatment of patients with COPD clearly rely on the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria based on post-bronchodilator spirometric values. However, clinical evidence for using the post-bronchodilator FEV₁ in the severity classification has not been fully investigated.
Methods: Patients with COPD were enrolled and followed up prospectively between October 2006 and January 2011. We compared the observed 3-year risk of all causes and respiratory mortality with the risk predicted by the pre- and post-bronchodilator percent predicted FEV₁. Other important phenotypes including BMI, MMRC dyspnea scale, ECOG performance status and severe AECOPD (acute exacerbation) were also compared between the two groups. The different severity classifications of COPD, measured according the GOLD guidelines by post- and pre-bronchodilator percent predicted FEV₁ were compared for prediction of mortality.
Results: There were 35 deaths among the 300 COPD patients (11.7%). Multivariate analysis showed that the post-bronchodilator percent predicted FEV₁ was a significant independent predictor of mortality but pre-bronchodilator percent predicted FEV₁ was not (p = 0.008 vs 0.126) and it was more strongly correlated with all studied predictors of outcome than the pre-bronchodilator percent predicted FEV₁. Kaplan-Meier analysis showed that the discrimination ability to predict mortality from the GOLD criteria using post bronchodilator percent predicted FEV₁ (p = 0.009) was better than using pre-bronchodilator percent predicted FEV₁ (p = 0.131).
Conclusions: The post-bronchodilator percent predicted FEV1 is better than the pre-bronchodilator percent predicted FEV₁ in the evaluation of the severity of disease in COPD patients and is more accurate in predicting the risk of death by the GOLD classification.
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http://dx.doi.org/10.3109/15412555.2012.654529 | DOI Listing |
JAMA
January 2025
Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Importance: Chronic obstructive pulmonary disease (COPD) is often undiagnosed. Although genetic risk plays a significant role in COPD susceptibility, its utility in guiding spirometry testing and identifying undiagnosed cases is unclear.
Objective: To determine whether a COPD polygenic risk score (PRS) enhances the identification of undiagnosed COPD beyond a case-finding questionnaire (eg, the Lung Function Questionnaire) using conventional risk factors and respiratory symptoms.
Ann Neurosci
October 2024
Department of Psychiatry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (Deemed to be University), Wardha, Nagpur, Maharashtra, India.
Background: Earlier researchers have explored the individual impacts of locus of control and self-esteem on academic as well as nonacademic success. But limited attention was given to their interplay within a university context. By integrating these variables into a unified framework, a more comprehensive understanding of the learning processes of university students can be achieved, which can further help in developing strategies to improve the overall learning outcome and come out as successful individuals.
View Article and Find Full Text PDFJMIR Form Res
January 2025
1, Department of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Changjogwan, Yonseidae-gil 1, Wonju, 26493, Republic of Korea, +82 (0) 33-760-2257.
Background: Diabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population.
Objective: This study determined diabetes risk factors among older adults aged ≥60 years using machine learning algorithms and selected an optimized prediction model.
Methods: This cross-sectional study was conducted on 3084 older adults aged ≥60 years in Seoul from January to November 2023.
BMC Med
January 2025
Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430060, China.
Background: To provide estimates and trends for burdens of early-onset colorectal cancer (EOCRC) from 1990 to 2021 at the global, regional, and national levels, and to provide projections of EOCRC burden through 2030.
Methods: A trend analysis based on the Global Burden of Diseases 2021. The joinpoint regression model was used to analyze the temporal trends on EOCRC burden by calculating the corresponding average annual percent changes (AAPCs).
Eur Radiol
January 2025
Department of Radiology, Stanford School of Medicine, Stanford, CA, 94305, USA.
Objective: To identify MRI features of desmoid tumors (DTs) that predict the growth of residual disease following ablation.
Methods: Patients who underwent MRI-guided ablation for DTs between February 2013 and April 2021 were included in this single-center IRB-approved retrospective study. MRI scans assessed three suspicious tissue features: intermediate T2 signal [+iT2], nodular appearance [+NOD], and contrast enhancement [+ENH].
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