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Dynamic microbial changes in exacerbation of chronic obstructive pulmonary disease.
Front Microbiol
December 2024
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Microbial profiles in patients with chronic obstructive pulmonary disease (COPD) provide insights for predicting, preventing, and treating exacerbations. This study aimed to analyze the impact of microbial diversity and spectrum on COPD exacerbation.
Methods: From November 1, 2018, to May 31, 2023, we prospectively enrolled patients with stable disease (SD) and exacerbation of COPD (ECOPD).
Extreme temperature increases the risk of COPD morbimortality: A systematic review and meta-analysis.
Sci Total Environ
December 2024
Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; National Heart and Lung Institute, Imperial College London, London, UK; Cell Physiology and Molecular Image Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address:
Introduction: This systematic review examines how extreme temperatures impact chronic obstructive pulmonary disease (COPD) morbidity and mortality, focusing on identifying vulnerable subpopulations.
Methods: We conducted a systematic literature search from January 1, 2000, to November 6, 2024, across databases like PubMed, MEDLINE and EMBASE, Web of Science, and Scopus, focusing on observational studies that quantitatively defined extreme temperatures and their impacts on COPD morbidity and mortality. Out of 3140 records, 25 studies met the inclusion criteria.
Analysis of COPD: Distinguishing Characteristics and Management of Smoking vs Never Smoking Patients.
Int J Chron Obstruct Pulmon Dis
December 2024
Department of Pulmonology, Semmelweis University, Budapest, Hungary.
Background: Chronic obstructive pulmonary disease (COPD) is a significant public health issue characterized by gradually worsening airflow limitation. It is a leading cause of mortality and morbidity worldwide, yet research on COPD patients who have never smoked is limited. This study aims to document the demographic, symptomatic, and therapeutic characteristics of COPD patients receiving outpatient pulmonary care in Hungary, focusing on smoking history, and evaluate their distribution according to the GOLD A/B/E classification.
View Article and Find Full Text PDFAssessing the Efficacy of Modified CT Severity Index Versus Conventional CT Severity Index in Determining Severity and Clinical Outcomes of Chronic Obstructive Pulmonary Disease (COPD).
Cureus
November 2024
Surgery, College of Medicine, University of Hail, Hail, SAU.
Aims The aim of this study was to evaluate the severity of chronic obstructive pulmonary disease (COPD) using the computed tomography severity index (CTSI) and the modified CTSI (MCTSI) and to assess their correlation with clinical outcome measures. Additionally, the study aimed to compare the diagnostic performance of these indices in predicting moderate to severe COPD, based on patient outcomes. Materials and methods In this prospective study, conducted between November 2023 and March 2024, two radiologists, blinded to clinical outcomes, independently assessed CTSI and MCTSI.
View Article and Find Full Text PDFEvaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.
Radiol Cardiothorac Imaging
December 2024
From the Computational Science Research Center, San Diego State University, San Diego, Calif (A.N.L.); Department of Radiology, University of California San Diego, La Jolla, Calif (A.H.); and Department of Mathematics and Statistics, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182 (K.A.H.).
Purpose To measure the benefit of single-phase CT, inspiratory-expiratory CT, and clinical data for convolutional neural network (CNN)-based chronic obstructive pulmonary disease (COPD) staging. Materials and Methods This retrospective study included inspiratory and expiratory lung CT images and spirometry measurements acquired between November 2007 and April 2011 from 8893 participants (mean age, 59.6 years ± 9.
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