COPD exacerbations have a profound clinical impact on patients. Accurately predicting these events could help healthcare professionals take proactive measures to mitigate their impact. For over a decade, telEPOC, a telehealthcare program, has collected data that can be utilized to train machine learning models to anticipate COPD exacerbations.
View Article and Find Full Text PDFObjective: Hospitalization due to exacerbation is a critical event for patients with chronic obstructive pulmonary disease (COPD). This study aimed to identify predictive factors for mortality in patients post-hospitalization for COPD exacerbation and to determine differences in these predictors in the short and medium term.
Methods: A prospective observational study involving 1635 patients hospitalized for COPD exacerbation, followed for one year.
Chronic obstructive pulmonary disease (COPD) represents one of the most frequent causes of hospital readmissions and in-hospital mortality. One in five patients requires readmission within 30 days of discharge following an admission for exacerbation. These 'early readmissions' increase morbidity and mortality, as patients often do not recover their baseline lung function.
View Article and Find Full Text PDFObjective: The aim of this study was to create a prognostic instrument for COPD with a multidimensional perspective that includes physical activity (PA). The score also included health status, dyspnoea and forced expiratory volume in 1 s (HADO.2 score).
View Article and Find Full Text PDFRespir Med Res
November 2023
Aim: To establish amongst a cohort of patients admitted with Chronic Obstructive Pulmonary Disease which factors were associated with their level of Physical Activity and Sedentary Behavior prior to the admission event.
Methods: Prospective observational cohort study. Nine Spanish hospitals participated.
Intern Emerg Med
August 2023
Background: Oxygen desaturation during exercise is mainly observed in severe cases of chronic obstructive pulmonary disease (COPD) and is associated with a worse prognosis, but little is known about the type of desaturation that causes the greatest risk of mortality.
Material And Methods: We studied all of the 6-min walk tests performed periodically at a tertiary hospital over a period of 12 years in patients with moderate or severe COPD. We classified patients as non-desaturators if they did not suffer a drop in oxygen saturation (SpO2 < 88%) during the test, early desaturators if the time until desaturation was < 1 min, and non-early desaturators if it was longer than 1 min.
Introduction: The aim of this study was to determine the impact of hospitalizations on levels of physical activity (PA) and whether other factors were associated with subsequent changes in PA.
Methods: Prospective observational cohort study with a nested case-control study, with follow-up 60 days from the index hospital admission. Nine hospitals participated in the study.
Int J Chron Obstruct Pulmon Dis
December 2022
Introduction: Quantifying physical activity in chronic obstructive pulmonary disease (COPD) with questionnaires and activity monitors in clinical practice is challenging. The aim of the present study was to analyse the discriminant validity of a single clinical question for the screening of inactive individuals living with COPD.
Methods: A multicentre study was carried out in stable COPD individuals both in primary and tertiary care.
Int J Chron Obstruct Pulmon Dis
November 2022
Purpose: The Spanish Activity Questionnaire in COPD (SAQ-COPD) is a short, simple physical activity (PA) measurement instrument for patients with chronic obstructive pulmonary disease (COPD). In this study, we analyzed its validity and sensitivity to change.
Methods: Prospective scale validation study.
Purpose: Acute exacerbations of COPD (AECOPD) are important factors contributing to mortality risk. The rate of exacerbations varies overtime. An inconsistent pattern of exacerbation occurrence is a common finding.
View Article and Find Full Text PDFBackground: Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous condition, in which taking into consideration clinical phenotypes and multimorbidity is relevant to disease management. Network analysis, a procedure designed to study complex systems, allows to represent connections between the distinct features found in COPD.
Methods: Network analysis was applied to a cohort of patients with COPD in order to explore the degree of connectivity between different diseases, taking into account the presence of two phenotypic traits commonly used to categorize patients in clinical practice: chronic bronchitis (CB /CB ) and the history of previous severe exacerbations (Ex /Ex ).
Intern Emerg Med
August 2022
COPD readmissions have a great impact on patients' quality of life and mortality. Our goal was to identify factors related to 60-day readmission. We conducted a prospective observational cohort study with a nested case-control study, with 60 days of follow-up after the index admission.
View Article and Find Full Text PDFExpert Rev Respir Med
April 2022
Objective: To develop a predictive model for COPD patients admitted for COVID-19 to support clinical decision-making.
Method: Retrospective cohort study of 1313 COPD patients with microbiological confirmation of SARS-CoV-2 infection. The sample was randomly divided into two subsamples, for the purposes of derivation and validation of the prediction rule (60% and 40%,respectively).
Chronic obstructive pulmonary disease (COPD) is understood as a complex, heterogeneous and multisystem airway obstructive disease. The association of deterioration in health-related quality of life (HRQoL) with mortality and hospitalisation for COPD exacerbation has been explored in general terms. The specific objectives of this study were to determine whether a change in HRQoL is related, over time, to mortality and hospitalisation.
View Article and Find Full Text PDFBackground: The 2-dimensional, 4-quadrant 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD) COPD A-D assessment tool (GOLD) does not include lung function variables to classify patients into different risk groups. The previous 2011 tool (GOLD) classified cases in the upper-quadrants (higher risk groups) regardless of whether they had a history of exacerbations or worse lung function. We hypothesized that a modified, three-dimensional classification (GOLD) that separately includes assessment of lung function and exacerbations history would improve the ability to predict adverse events.
View Article and Find Full Text PDFBackground: The global prevalence of chronic obstructive pulmonary disease (COPD) has increased markedly in recent decades. Given the scarcity of resources available to address global health challenges and respiratory medicine being relatively under-invested in, it is important to define research priorities for COPD globally. In this paper, we aim to identify a ranked set of COPD research priorities that need to be addressed in the next 10 years to substantially reduce the global impact of COPD.
View Article and Find Full Text PDFChronic obstructive pulmonary disease is a typical disease among chronic and respiratory diseases. The costs associated with chronic disease care are rising dramatically, and this makes it necessary to redesign care processes, including new tools which allow the health system to be more sustainable without compromising on the quality of the care, compared to that currently provided. One approach may be to use information and communication technologies.
View Article and Find Full Text PDFERJ Open Res
October 2020
In 2019, The Global Initiative for Chronic Obstructive Lung Disease (GOLD) modified the grading system for patients with COPD, creating 16 subgroups (1A-4D). As part of the COPD Cohorts Collaborative International Assessment (3CIA) initiative, we aim to compare the mortality prediction of the 2015 and 2019 COPD GOLD staging systems. We studied 17 139 COPD patients from the 3CIA study, selecting those with complete data.
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