Burden of smoking on quality of life in patients with chronic obstructive pulmonary disease

Clinical implementation of an algorithm for predicting exacerbations in patients with COPD in telemonitoring: a study protocol for a single-blinded randomized controlled trial

BACKGROUND

Acute exacerbations have a significant impact on patients with COPD by accelerating the decline in lung function leading to decreased health-related quality of life and survival time. In telehealth, health care professionals exercise clinical judgment over a physical distance. Telehealth has been implemented as a way to monitor patients more closely in daily life with an intention to intervene earlier when physical measurements indicate that health deteriorates. Several studies call for research investigating the ability of telehealth to automatically flag risk of exacerbations by applying the physical measurements that are collected as part of the monitoring routines to support health care professionals. However, more research is needed to further develop, test, and validate prediction algorithms to ensure that these algorithms improve outcomes before they are widely implemented in practice.

METHOD

This trial tests a COPD prediction algorithm that is integrated into an existing telehealth system, which has been developed from the previous Danish large-scale trial, TeleCare North (NCT: 01984840). The COPD prediction algorithm aims to support clinical decisions by predicting the risk of exacerbations for patients with COPD based on selected physiological parameters. A prospective, parallel two-armed randomized controlled trial with approximately 200 participants with COPD will be conducted. The participants live in Aalborg municipality, which is located in the North Denmark Region. All participants are familiar with the telehealth system in advance. In addition to the participants' usual weekly monitored measurements, they are asked to measure their oxygen saturation two more times a week during the trial period. The primary outcome is the number of exacerbations defined as an acute hospitalization from baseline to follow-up. Secondary outcomes include changes in health-related quality of life measured by both the 12-Item Short Form Survey version 2 and EuroQol-5 Dimension Questionnaire as well as the incremental cost-effectiveness ratio.

DISCUSSION

This trial seeks to explore whether the COPD prediction algorithm has the potential to support early detection of exacerbations in a telehealth setting. The COPD prediction algorithm may initiate timely treatment, which may decrease the number of hospitalizations.

TRIAL REGISTRATION

NCT05218525 (pending at clinicaltrials.gov ) (date, month, year).

Clinical Control Criteria to Determine Disease Control in Patients with Severe COPD: The CLAVE Study

Background

Clinical control in chronic obstructive pulmonary disease (COPD) has not been completely characterized. A proposal of clinical control criteria (CCC) has been recently defined and validated as a tool for determining control, but there is scarce information on patients with severe COPD.

Objective

To evaluate clinical control in severe COPD using the CCC.

Patients and Methods

The study design was observational, multicenter, cross-sectional study involving 4801 patients with severe COPD in Spain. Clinical control was defined according to clinical impact (dyspnea grade, use of rescue treatment in last week, sputum color, and daily physical activity) and stability (exacerbations in last 3 months and patient’s perception about health status). Clinical control of COPD was alternatively evaluated with the COPD assessment test (CAT) and the presence of exacerbations in the last 3 months.

Results

According to CCC, 61.0% of patients had low clinical impact, and 41.4% showed clinical stability. Overall, 29.9% of patients had both low clinical impact and stability (controlled), whereas 70.1% showed high clinical impact and/or no clinical stability (non-controlled). COPD control was also assessed by using only the definition of CAT≤16 and no exacerbations in the last 3 months. Results obtained with this definition were similar to those obtained by CCC, and the concordance between both definitions was high (Kappa index = 0.698).

Conclusion

By using the CCC, approximately only one third of patients with severe COPD were considered as controlled. Physical activity, adherence to inhalers, age, post-bronchodilator FEV₁, age-adjusted Charlson comorbidity index, and healthcare level were independent factors associated with COPD control.

Nocturia Work Productivity and Activity Impairment Compared with Other Common Chronic Diseases

OBJECTIVES

The International Continence Society defines nocturia as the need to void one or more times during the night, with each of the voids preceded and followed by sleep. The chronic sleep disturbance and sleep deprivation experienced by patients with nocturia affects quality of life, compromising both mental and physical well-being. This paper aims to characterise the burden of nocturia by comparing published data from patients with nocturia with data from patients with any of 12 other common chronic conditions, specifically focusing on its impact on work productivity and activity impairment, as measured by the instrument of the same name (WPAI).

METHODS

A systematic literature review of multiple data sources identified evaluable studies for inclusion in the analysis. Study eligibility criteria included use of the WPAI instrument in patients with one of a predefined list of chronic conditions. We assessed the quality of each included study using the Newcastle-Ottawa scale and extracted basic study information, work and activity impairment data. To assess how work and activity impairment from nocturia compares with impairment from other common chronic diseases, we conducted two data syntheses (pooled and unpooled).

RESULTS

The number of evaluable studies and the range of overall work productivity impairment reported, respectively, were as follows: nocturia (3; 14-39 %), overactive bladder (5; 11-41 %), irritable bowel syndrome/constipation (14; 21-51 %), gastroesophageal reflux disease (GERD) (13; 6-42 %), asthma/allergies (11; 6-40 %), chronic obstructive pulmonary disease (COPD) (7; 19-42 %), sleep problems (3; 12-37 %), arthritis (13; 21-69 %), pain (9; 29-64 %), depression (4; 15-43 %) and gout (2; 20-37 %).

CONCLUSIONS

The overall work productivity impairment as a result of nocturia is substantial and was found to be similar to impairment observed as a result of several other more frequently researched common chronic diseases. Greater awareness of the burden of nocturia, a highly bothersome and prevalent condition, will help policy makers and healthcare decision makers provide appropriate management of nocturia.

Health-related quality of life in current smokers with COPD: factors associated with current smoking and new insights into sex differences

Findings from studies that examined the association between health-related quality of life (HRQOL) and smoking status among COPD patients have been mixed. Moreover, factors associated with current smoking in COPD patients and differences by sex have not been fully elucidated. Data from the 2011 and 2012 Behavioral Risk Factor Surveillance System was used in this study. Four HRQOL indicators were examined in this study: general health, physical health, mental health, and activity limitations. General health was dichotomized into two groups: “excellent/very good/good” and “fair/poor”, and the other three HRQOL indicators were dichotomized into <14 (infrequent) and ≥14 (frequent) unhealthy days in the past 30 days. To examine HRQOL indicators in association with current versus former smoking and identify factors associated with current smoking, logistic regression models were used. Sex differences were explored. In COPD patients, current smokers compared to former smokers had significantly poor HRQOL on all subdomains: “fair/poor” general health (adjusted odds ratio [AOR]: 1.2 [95% confidence interval {CI}: 1.1–1.5]); poor physical health (AOR: 1.3 [CI: 1.1–1.5]); poor mental health (AOR: 1.8 [CI: 1.4–2.2]); and poor activity limitations (AOR: 1.5 [CI: 1.3–1.9]). HRQOL subdomains affected by current smoking differed by sex except activity limitations. General health (AOR: 1.5 [CI: 1.1–2.0]) and activity limitations (AOR: 1.6 [95% CI: 1.2–2.2]) in males and physical health (AOR: 1.3 [CI: 1.0–1.6]), mental health (AOR: 2.1 [CI: 1.7–2.6]), and activity limitations (AOR: 1.5 [CI: 1.2–1.9]) in females were significantly impaired due to current smoking. Factors associated with current smoking differed by sex except being unmarried and having less than a college degree, which were associated with current smoking in both males and females. These findings have important implications for health care providers in designing more effective interventions which tailor to and target specific subgroups for smoking cessation.