Characteristics and health related quality of life in a population with advanced chronic obstructive pulmonary disease, a cross-sectional study

Bové, Dorthe Gaby; Lavesen, Marie; Lindegaard, Birgitte

doi:10.1186/s12904-020-00593-2

Cited by 7 publications

(6 citation statements)

References 45 publications

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“…With the progress of COPD, the quality of life of patients gradually declines. 28,29 Several factors may contribute to poor quality of life in COPD patients including respiratory symptoms, exercise limitations. 30 In this meta-analysis, SF-36 and CCQ was used to evaluate the effects of singing on COPD patients, and the results showed that the singing group was significantly better than the control group in terms of quality of life physical component score.…”

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confidence: 99%

Effect of Singing on Symptoms in Stable COPD: A Systematic Review and Meta-Analysis

Fang¹,

Qiao²,

Yu³

et al. 2022

COPD

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Background: Chronic obstructive pulmonary disease (COPD) is a chronic lung disease which feature is progressive airflow obstruction. Singing is a popular and convenient activity that requires people to manage their lung volumes and airflow actively. Despite the well-known benefits of singing to healthy people, the specific effect still remains unclear. Objective: To investigate the mental and psychological benefits of singing in patients with stable COPD. Search Methods: We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA) on randomized controlled trials (RCTs) including singing exercise as the main intervention in stable COPD. We searched 8 electronic databases, including Web of Science, PubMed, Embase, Cochrane Library, Clinical Trials.gov, and the Physical Therapy Evidence Database (PEDro), CNKI, and Wanfang Database from inception until May 2022. The searching languages was English or Chinese. Data extraction using standardized templates was performed by two independent reviewers. The quality of the studies was assessed using the PEDro scale. Data synthesis was performed with Revman 5.4. The pooled effect sizes are reported by MD and 95% CI. Results: Five RCTs involving 333 patients with stable COPD were included in this meta-analysis. Singing was regarded as the main intervention in the experimental group. Meta-analysis revealed that singing improves quality of life on Short Form 36 physical component summary (SF-36 PCS) (MD = 12.63, 95% CI: 5.52 to 19.73, P < 0.01) and respiratory muscle in maximal expiratory pressure (PE max ) (MD = 14.30, 95% CI: 0.87 to 27.73, P = 0.04) in patients with COPD. However, it has limited effects on Short Form 36 mental component summary (SF-36 MCS), lung function, exercise capability, and adverse mental state. Conclusion:Based on results of the meta-analysis, singing could be used to improve quality of life (SF-36 PCS) and respiratory muscles (PE max ) in patients with COPD.

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confidence: 99%

Effect of Singing on Symptoms in Stable COPD: A Systematic Review and Meta-Analysis

Fang¹,

Qiao²,

Yu³

et al. 2022

COPD

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“…The standard of care at the outpatient clinic at Copenhagen University Hospital—North Zealand focuses on basic palliative care for individuals with severe COPD. The structure of the outpatient care program is designed to be able to respond to the individual and changing needs of the patients and it has resulted in improved HRQoL [ 52 ]. However, despite the patient-centered approach with an increased focus on individual palliative needs, these patients still have impaired HRQoL.…”

Section: Discussionmentioning

confidence: 99%

Multidimensional individualized nutritional therapy for individuals with severe chronic obstructive pulmonary disease: study protocol for a registry-based randomized controlled trial

Hegelund

Ritz

Nielsen

et al. 2023

Trials

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Background Individuals with severe chronic obstructive pulmonary disease (COPD) are often at risk of undernutrition with low health-related quality of life (HRQoL). Undernutrition can worsen COPD and other comorbidities, be an independent predictor of morbidity and functional decline resulting in increased healthcare consumption and increased risk of death. Especially exacerbations and acute infections result in unintentional weight loss. The aim is to investigate the effect of an individualized nutritional intervention among individuals with severe COPD. Methods An open-label randomized controlled trial with two parallel groups. Participants are recruited from the pulmonary outpatient clinic at the Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital, North Zealand, Denmark, and randomly allocated to either the intervention (intervention + standard of care) or control group (standard of care). The intervention has a duration of 3 months and combines individual nutritional care with adherence support and practical tools. It contains 4 elements including an individual nutritional plan, regular contacts, adherence support, and weight diary. The primary outcome is a difference in HRQoL (EQ-5D-5L) between the intervention and control group 3 months after baseline. Difference in functional capacity (grip strength, 30-s stand chair test, and physical activity), disease-specific quality of life (COPD Assessment Test), anxiety and depression (Hospital Anxiety and Depression Scale), nutritional parameters (energy and protein intake), anthropometry (weight, body mass index, waist, hip, and upper arm circumference), body composition (total fat-free and fat mass and indices), and prognosis (exacerbations, oxygen therapy, hospital contacts, and mortality) 3 months after baseline will be included as secondary outcomes. Data will be collected through home visits at baseline and 1 and 3 months after baseline. Discussion Currently, nutritional care is a neglected area of outpatient care among individuals with severe COPD. If this patient-centered approach can demonstrate a positive impact on HRQoL, mortality, and hospital contacts, it should be recommended as part of end-of-life care for individuals with severe COPD. Trial registration ClinicalTrials.gov NCT04873856 . Registered on May 3, 2021.

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“…In this large international study, we have developed a digital voice-based biomarker for monitoring of RQoL using a combination of standard self-reported clinical information and voice-related features. We have shown that voice brings complementary information to improve the performances of the predictive model and increase the reliability of screening RQoL has been evaluated from socio-demographic and clinical factors in various respiratory diseases, but mainly focusing on a single disorder, such as COPD [30], [31], asthma [32], idiopathic pulmonary fibrosis [33], or COVID-19 [34]. There were also attempts to investigate the effect of several respiratory diseases simultaneously on RQoL by using a multicasecontrol design, where the use cases were COPD, asthma, allergic and non-allergic rhinitis [35].…”

Section: Discussionmentioning

confidence: 99%

“…MLP was composed of two hidden layers with 256 neurons each and a ReLU activation function, followed by dropout layers for preventing overfitting with a dropout rate equal to 0.3, and an output layer with a sigmoid activation function is utilized in this paper. We used Adam optimizer, binary cross entropy loss function, batch size equal to 32, while the optimal learning rate (0.0001) and the number of epochs (30) are determined via grid search. Note that Adam has an adaptive per-parameter learning rate, which is computed using the initial learning rate as an upper limit.…”

Section: E Rqol Predictionmentioning

confidence: 99%

Digital Voice-Based Biomarker for Monitoring Respiratory Quality of Life: Findings from the Colive Voice Study

Despotovic,

Elbéji,

Fünfgeld

et al. 2023

Preprint

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Regular monitoring of respiratory quality of life (RQoL) is essential in respiratory healthcare, facilitating prompt diagnosis and tailored treatment for chronic respiratory diseases. Voice alterations resulting from respiratory conditions create unique audio signatures that can potentially be utilized for disease screening or monitoring. Analyzing data from 1908 participants from the Colive Voice study, which collects standardized voice recordings alongside comprehensive demographic, epidemiological, and patient-reported outcome data, we evaluated various strategies to estimate RQoL from voice, including handcrafted acoustic features, standard acoustic feature sets, and advanced deep audio embeddings derived from pretrained convolutional neural networks. We compared models using clinical features alone, voice features alone, and a combination of both. The multimodal model combining clinical and voice features demonstrated the best performance, achieving an accuracy of 70.34% and an area under the receiver operating characteristic curve (AUROC) of 0.77; an improvement of 5% in terms of accuracy and 7% in terms of AUROC compared to model utilizing voice features alone. Incorporating vocal biomarkers significantly enhanced the predictive capacity of clinical variables across all acoustic feature types, with a net classification improvement (NRI) of up to 0.19. Our digital voice-based biomarker is capable of accurately predicting RQoL, either as an alternative to or in conjunction with clinical measures, and could be used to facilitate rapid screening and remote monitoring of respiratory health status.

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Characteristics and health related quality of life in a population with advanced chronic obstructive pulmonary disease, a cross-sectional study

Cited by 7 publications

References 45 publications

Effect of Singing on Symptoms in Stable COPD: A Systematic Review and Meta-Analysis

Effect of Singing on Symptoms in Stable COPD: A Systematic Review and Meta-Analysis

Multidimensional individualized nutritional therapy for individuals with severe chronic obstructive pulmonary disease: study protocol for a registry-based randomized controlled trial

Digital Voice-Based Biomarker for Monitoring Respiratory Quality of Life: Findings from the Colive Voice Study

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