Predicting COPD and Lung Function Decline Among a General Population

Press, Valerie G.; Gershon, Andrea S.; Blagev, Denitza

doi:10.1016/j.chest.2019.11.028

Cited by 4 publications

(2 citation statements)

References 16 publications

(18 reference statements)

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“…First, our research indicates a high prevalence of OVS in OSA patients, accompanied by distinct clinical and PSG characteristics. While age and smoking are consistently identified as predictors of COPD in various studies in the general population [83][84][85], other factors such as obesity, abnormal ABG measurements not aligned with OSA severity, nocturia, and depressive symptoms may also contribute to the prediction of COPD specifically in OSA populations. Clinicians may use these readily available characteristics as predictive factors for identifying COPD in OSA.…”

Section: Discussionmentioning

confidence: 98%

Prevalence and Characteristics of Patients with Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease: Overlap Syndrome

Fanaridis,

Bouloukaki,

Stathakis

et al. 2024

Life

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Overlap syndrome (OVS) is a distinct clinical entity that seems to result in potential cardiovascular consequences. We aimed to estimate the prevalence and risk factors for OVS in OSA patients and analyze clinical and PSG characteristics associated with OVS. In this cross-sectional study, 2616 patients evaluated for OSA underwent type-1 polysomnography (PSG). They were grouped as pure OSA (AHI > 15/h) and OVS patients. Demographics, PSG data, pulmonary function tests and arterial blood gases (ABGs) were compared between groups after adjustments for confounders. OSA was diagnosed in 2108 out of 2616 patients. Of those, 398 (19%) had OVS. Independent predictors of OVS were older age [OR: 5.386 (4.153–6.987)], current/former smoking [OR: 11.577 (7.232–18.532)], BMI [OR: 2.901 (2.082–4.044)] and ABG measurements [PaCO2 ≥ 45 OR: 4.648 (3.078–7.019), PO2 [OR: 0.934 (0.920–0.949)], HCO3− [OR: 1.196 (1.133–1.263), all p < 0.001]. OVS was also associated with prevalent hypertension [OR: 1.345 (1.030–1.758), p = 0.03] and cardiovascular disease [OR: 1.617 (1.229–2.126), p < 0.001], depressive symptoms [OR: 1.741 (1.230–2.465), p = 0.002] and nocturia [OR: 1.944 (1.378–2.742), p < 0.001], as well as with indices of OSA severity. Disturbances in sleep architecture were more prominent in OVS expressed by lower %N3 and REM% and higher arousal index. Our data suggest that OVS is prevalent among OSA patients, with distinct clinical and PSG characteristics. These characteristics could be utilized as predictive factors for early identification and further evaluation of these patients towards desirable patient-reported outcomes.

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Section: Discussionmentioning

confidence: 98%

Prevalence and Characteristics of Patients with Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease: Overlap Syndrome

Fanaridis,

Bouloukaki,

Stathakis

et al. 2024

Life

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“… Baseline End of intervention End of 6 months follow-up Primary outcome Exercise capacity (1-mSTS) This is a practical, reliable, valid, and responsive alternative for measuring exercise capacity, particularly where space and time are limited 22 Baseline End of intervention End of 6 months follow-up Secondary outcomes Pulmonary function tests (FEV1pred%) COPD is diagnosed through a combination of clinical symptoms and physiological measurements via pulmonary function tests. 23 Pulmonary function tests are performed by spirometry using the same machine and the same technician for all participants according to international recommendations 24 Respiratory muscle training (MIP) Respiratory or ventilatory muscle training, aims to improve inspiratory muscle strength and endurance through a series of breathing exercises. 25 Dyspnoea (mMRC) The mMRC scale measures functional breathlessness on a scale ranging from 0 to 4.…”

Section: Methodsmentioning

confidence: 99%

Comparison of a Supervised Home-Based Tele-Rehabilitation with Center-Based Pulmonary Rehabilitation: Protocol for a Randomized Non-Inferiority Multicenter Study in Ningxia

Xin,

Wei,

Zheng

et al. 2024

COPD

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Background Pulmonary rehabilitation (PR) is an effective intervention for people with chronic obstructive pulmonary disease (COPD). However, fewer than 5% of eligible individuals receive pulmonary rehabilitation, largely due to limited by the accessibility of rehabilitation and difficulties associated with travel and transport. Supervised home-based tele-rehabilitation (SHTR) is an alternative model to center-based pulmonary rehabilitation. We will determine whether supervised home-based tele-rehabilitation is non-inferior to center-based pulmonary rehabilitation. Methods The participants will undergo an 8-week rehabilitation program. Pulmonary rehabilitation comprises four main modules: exercise training, education, nutritional support, and psychological and behavioral interventions. We mainly focus on the module of exercise training and education. The education module includes information on exercise training, nutrition, and psychology, which are presented in an educational booklet provided to each participant. Blinded assessors will evaluate the outcomes at baseline, post-intervention, and 6 months after the intervention. The primary outcome is the change in the 6-minute walking distance. Secondary outcomes will assess changes in the patients’ 1-minute sit-to-stand test, maximal inspiratory pressure (MIP), scales (CAT, mMRC, HAD), diaphragm ultrasound (TD, DE, DIF), changes in extrathoracic muscle volume and mass, completion rate of patient exercise prescriptions, occurrence of adverse events, as well as disease exacerbation and rehospitalization rates after rehabilitation and during the 6-month follow-up. Discussion In order to improve the accessibility of pulmonary rehabilitation and patient-related outcomes, it is necessary to propose an alternative model of pulmonary rehabilitation. This trial will establish whether a supervised home-based tele-rehabilitation is not inferior to traditional center-based pulmonary rehabilitation. Trial Registration Chinese Clinical Trial Registry ChiCTR2300076969. Registered on October 25, 2023.

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Long-term air pollution exposure accelerates ageing-associated degradation of lung function

Kuang

Wang

et al. 2023

Atmospheric Pollution Research

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Predicting COPD and Lung Function Decline Among a General Population

Cited by 4 publications

References 16 publications

Prevalence and Characteristics of Patients with Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease: Overlap Syndrome

Prevalence and Characteristics of Patients with Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease: Overlap Syndrome

Comparison of a Supervised Home-Based Tele-Rehabilitation with Center-Based Pulmonary Rehabilitation: Protocol for a Randomized Non-Inferiority Multicenter Study in Ningxia

Long-term air pollution exposure accelerates ageing-associated degradation of lung function

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