Acceptance of and adherence with long-term positive airway pressure treatment in adults with chronic obstructive pulmonary disease: A systematic review protocol

Cheryl R. Laratta; Linn E. Moore; Rachel Jen; Sandra M. Campbell; Joanna E. MacLean; Sachin R. Pendharkar; Brian H. Rowe

doi:10.1371/journal.pone.0287887

Abstract

Background

Long-term noninvasive positive airway pressure (PAP) treatment is effective treatment for sleep-related breathing disorders and chronic hypercarbic respiratory failure secondary to chronic obstructive pulmonary disease (COPD). PAP treatment may be delivered as continuous positive airway pressure or noninvasive ventilation. Success in initiating PAP treatment and barriers to its use in adult patients with COPD are largely unknown. This systematic review aims to identify the acceptance of and adherence to PAP treatment prescribed for long-term use in adult patients with COPD and to summarize variables associated with these measures.

Methods

Seven online electronic databases will be searched by an experienced medical librarian to identify records containing the concepts “obstructive airways disease” and “noninvasive positive airway pressure” and “acceptance” or “adherence”. Randomized and non-randomized studies of interventions will be included. Citation lists from relevant articles will be reviewed, and experts will be contacted regarding unpublished studies. Abstracts from key conferences between 2018–2023 and Google Scholar search results will be reviewed for inclusion. Titles, abstracts and full texts will be reviewed independently for inclusion by two reviewers. Data extraction will be completed by one author using a pre-established form and primary outcomes confirmed by a second author. Methodological quality will be evaluated. If sufficient data are available for meta-analysis, a pooled summary statistic for the primary outcome will be calculated using a random-effects generic inverse-variance meta-analysis, weighted proportion or weighted medians-based approach. Subgroup analysis will explore clinically meaningful sources of heterogeneity. Variables that are associated with acceptance and adherence will be described.

Discussion

Long-term PAP treatment is a complex intervention prescribed to patients with COPD for several indications. Synthesis of the evidence on success with PAP treatment and variables associated with acceptance or adherence will inform program and policy development for supporting patients with COPD who are prescribed this therapy.

Trial registration

Systematic review registration: This protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) on July 13, 2021 (registration number CRD42021259262), with revisions submitted on April 17, 2023.

Citation: Laratta CR, Moore LE, Jen R, Campbell SM, MacLean JE, Pendharkar SR, et al. (2023) Acceptance of and adherence with long-term positive airway pressure treatment in adults with chronic obstructive pulmonary disease: A systematic review protocol. PLoS ONE 18(7): e0287887. https://doi.org/10.1371/journal.pone.0287887

Editor: Frances Chung, University of Toronto, CANADA

Received: February 11, 2023; Accepted: June 14, 2023; Published: July 3, 2023

Copyright: © 2023 Laratta et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: No datasets were generated or analyzed during the current study. All relevant data from this study will be made available upon study completion.

Funding: The authors have received no specific funding for this work.

Competing interests: CRL receives renumeration for the interpretation of home sleep apnea tests by Careica Health. SRP reports an unrestricted grant from Jazz Pharmaceuticals and consulting fees from Paladin Labs, Jazz Pharmaceuticals and the International Centre for Professional Development in Health and Medicine. The other authors have no relevant conflicts of interest to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

List of abbreviations: PAP, positive airway pressure; COPD, chronic obstructive pulmonary disease; PRISMA-P, Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols; CPAP, continuous positive airway pressure; NIV, noninvasive ventilation; OSA, obstructive sleep apnea; PROSPERO, International Prospective Register of Systematic Reviews; BPAP, bilevel positive airway pressure; VAPS, volume assured pressure support; ASV, adaptive servoventilation; CENTRAL, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials; MeSH, Medical Subject Headings; RevMan, Review Manager Software; FEV₁, forced expiratory volume in one second; FVC, forced vital capacity; BMI, body mass index; PaCO₂, partial pressure of carbon dioxide; AHI, apnea-hypopnea index

Introduction

Chronic obstructive pulmonary disease (COPD) is a complex, multifaceted disease that may be complicated by respiratory failure and comorbidities such as sleep related breathing disorders that contribute to poor health outcomes [1]. Hypercarbic respiratory failure attributed to COPD is associated with high mortality and a poor quality of life [2]. Obstructive sleep apnea (OSA), the most common sleep-related breathing disorder, is associated with lower health-related quality of life [3] and increased health care utilization [4] in patients with COPD, and may co-exist with chronic hypercarbic respiratory failure [5]. These conditions share a common treatment of positive airway pressure (PAP). While the context within which PAP treatment is prescribed varies among patients with COPD, barriers to success with PAP therapy may be similar across disease indications.

Noninvasive PAP treatment intended for long-term use, generally during sleep, may be delivered as continuous positive airway pressure (CPAP) or noninvasive ventilation (NIV). CPAP is an established therapy for OSA and has been shown to improve quality of life and reduce daytime sleepiness [6], with similar results to NIV [7, 8]. In patients with COPD, observational studies suggest that CPAP treatment for OSA is associated with longer survival [9, 10], longer time to first exacerbation requiring hospitalization [11], fewer Emergency Department (ED) visits [12], and fewer hospitalizations from COPD exacerbations [12, 13]. For sleep related breathing disorders, NIV may be prescribed when CPAP does not achieve physiologic treatment targets [14, 15], to resolve CPAP intolerance [16, 17], or at discharge from hospital for patients with obesity and chronic hypercapnic respiratory failure [18]. NIV is also indicated to treat chronic hypercarbic respiratory failure secondary to COPD as randomized controlled trials support that NIV prevents hospital readmission and intubation as well as improves survival [19], particularly when high intensity NIV is prescribed [20]. Evidence supporting the use of CPAP for chronic hypercapnic respiratory failure is primarily derived in patients with obesity without significant airflow obstruction where CPAP and NIV have similar long-term benefits [21]. Despite the proven benefits, PAP treatment is a complex and challenging intervention to accept and use [22]. It is therefore critically important that as the indications for PAP treatment in patients with COPD expand, so does our understanding of how to help patients be successful with therapy.

The aim of this review is to characterize the acceptance of and adherence to long-term noninvasive PAP treatment in adult patients with COPD. The World Health Organization identifies broad categories of barriers to intervention adherence [23]. In the context of CPAP, factors that represent challenges to adherence in the general population of patients with OSA are classified as disease characteristics, sociodemographic characteristics, psychosocial factors, treatment titration procedure, technological device factors and side effects [24, 25]. There are, however, contextual factors among patients with COPD that may result in different barriers to PAP adherence compared to other patient populations. These factors include health behaviours, health literacy, baseline symptoms and contact with specialists. Through subgroup analysis of the primary aim, we will explore whether pre-specified variables such as specific disease characteristics or aspects of health service delivery are associated with either acceptance or adherence. The secondary aim is to summarize known variables that are associated with either acceptance or adherence in this population. The results of this review will be used to inform programs and policies designed to support patients with COPD who are prescribed PAP treatment and identify gaps in the literature that need to be addressed through future research.

Materials and methods

Study design

The methods for this systematic review are based upon the methodological frameworks outlined in the Cochrane Handbook for Systematic Reviews [26]. The results will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) 2020 statement [27]. For a PRISMA flow diagram, see Fig 1. The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42021259262) after confirming that no similar systematic reviews were already registered. This study is exempt from ethics approval as this work is carried out on published documents.

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Fig 1. Anticipated flowchart of the included and excluded studies for the systematic review.

The flowchart was developed following the following the Preferred Reporting Items for Systematic Reviews and Meta-analysis 2020 statement. CINAHL, Cumulative Index to Nursing and Allied Health Literature; EMBASE, Excerpta Medica Database; COPD, chronic obstructive pulmonary disease; PAP, positive airway pressure.

https://doi.org/10.1371/journal.pone.0287887.g001

Eligibility criteria

Types of studies.

Primary research studies reporting on randomized controlled trials or observational studies will be included; qualitative studies, letters to the editor, opinions and editorials will be excluded. For included studies, only arms of the trial in which PAP treatment was prescribed will be included. Study designs that have acceptance or adherence with PAP treatment as part of the inclusion or exclusion criteria will not be included in this review, unless the excluded participants are also characterized.

Types of participants/population.

The review will include data analyses of adult patients (age ≥18 years) with COPD who are newly prescribed PAP treatment for long-term use at home for one of the following indications: chronic hypercarbic respiratory failure, OSA, central sleep apnea or sleep related hypoventilation. If a study population includes patients with chronic lung diseases where <80% of the patients have COPD, the data for the COPD population will be included only if it is reported separately from the other populations. Studies where all the participants have COPD, however, 20% or more of participants have neuromuscular disease, including diaphragmatic paralysis, or significant lung disease in addition to COPD (e.g., interstitial lung disease), will be excluded in order to decrease the heterogeneity in the study population. Studies will be excluded if they report on PAP treatment for acute respiratory failure in isolation or on patients treated during hospitalization with no intent to discharge on PAP treatment.

Exposures.

PAP treatment will be defined by the provision of noninvasive PAP therapy through a nasal or face mask. CPAP is inclusive of fixed pressure or automatic titrating modalities. NIV is inclusive of bilevel positive airway pressure (BPAP), volume assured pressure support (VAPS) or adaptive servoventilation (ASV). Studies assessing mechanical ventilation delivered through an invasive interface such as a tracheostomy will be excluded. For studies that have multiple arms that meet the inclusion criteria, each arm will be summarized as a separate study population for the primary outcomes. Sham PAP will not be incorporated into the primary analysis of acceptance and adherence, as a lower adherence is seen with sham PAP in crossover trials [28]; however, given that sham PAP treatment has also been shown to be associated with lower adherence on CPAP therapy after transition to therapeutic treatment in the general population [28], it will be included in the secondary aim which is to summarize variables that may be associated with acceptance or adherence if there is sufficient data in the study population. During the systematic review, additional exposure variables associated with acceptance or adherence to PAP treatment in multivariate analysis will be collected and summarized. These additional variables will be organized within the World Health Organization framework [23] with two additional categories: research-specific factors (e.g., whether PAP equipment was provided to participants, co-interventions in the study design) and “Other”.

Comparator.

Not applicable to this systematic review design.

Outcomes.

Primary outcomes will be acceptance of and adherence to long-term PAP treatment. Acceptance will be defined as dichotomous (i.e., had use of therapy irrespective of adherence compared to no use of therapy) within a given time period not exceeding 1 year from the therapy being recommended. Adherence will be determined from machine download data with a minimum of 7 days of follow-up. For studies that only report follow-up after a brief period of use, the adherence measured will be considered a proxy of long-term adherence given available evidence to suggest this in patients with OSA [29–31]. A sensitivity analysis will be conducted for adherence data collected within 1 month of initiating therapy in order to assess whether short term use is a proxy of long-term adherence in the included studies. Adherence will be defined as both dichotomous (e.g., >4 hours use per night for >70% of nights or >4 hours use per night for 5/7 days) and continuous (e.g., mean hours of use per night) where outcome measurement allows. Studies that only report adherence using subjective measures will be excluded. For a logic model, please see Fig 2. The secondary aim is to summarize known variables that are associated with either acceptance or adherence in this population.

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Fig 2. Logic model for summarizing the literature on PAP therapy acceptance and adherence in patients with COPD.

Black boxes represent the primary outcomes of this study. Grey boxes represent prespecified clinically important subgroups that may explain some of the heterogeneity in the primary outcomes. White boxes will not be examined through this review. PAP, positive airway pressure; BPAP, bilevel positive airway pressure; VAPS, volume-assured pressure support; ASV, adaptive servoventilation; CPAP, continuous positive airway pressure; COPD, chronic obstructive pulmonary disease; BMI, body mass index; FEV1, forced expiratory volume in one second.

https://doi.org/10.1371/journal.pone.0287887.g002

Information sources.

An experienced librarian and information specialist collaborated to design a comprehensive search strategy with terms for COPD, PAP treatment and adherence or acceptance. The search strategy (see S1 Appendix) was developed for Ovid Medline. This search will be translated into search strategies for CINAHL (EBSCOhost), Ovid EMBASE, the Wiley Cochrane Library (Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials (CENTRAL)), Scopus, Proquest Dissertations & Theses Global and APA PsychInfo using the concepts of “obstructive airways disease” (e.g., COPD), “acceptance” or “compliance” or “adherence”, and “noninvasive positive pressure ventilation”. The search strategy will contain controlled vocabulary (e.g., Medical Subject Headings (MeSH)) and text words searches. There will be no restrictions on date of publication, publication status or language of publication; translation services will be employed to determine relevance of non-English manuscripts.

Grey literature will be searched including citation lists from the included studies. Corresponding authors of more than one included study will be contacted regarding unpublished studies or relevant literature that may have been missed. The publication lists for the last authors on the included studies will be reviewed. Indexes of conference abstracts will be hand searched from the American Thoracic Society, Canadian Thoracic Society, and European Respiratory Society, American College of Chest Physicians, Associated Professional Sleep Societies (joint venture by the American Academy of Sleep Medicine and the Sleep Research Society), Canadian Sleep Society, and the World Sleep Society from 2018–2023. The first 10 pages of a Google Scholar search will also be reviewed for relevant studies.

Study records

Data management.

The results of the searches will be imported into the Covidence software program and duplicates removed (Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia). Where possible, statistical analyses will be completed using R statistical software (R Core Team, 2022) or Review Manager Software (RevMan, version 5.4, The Cochrane Collaboration, 2020).

Selection process.

Two study investigators (CRL/LEM) will independently screen titles and abstracts identified by the search strategy for inclusion. If a large number of abstracts (>1000) are identified using the proposed search strategy, one study investigator will exclude obviously irrelevant studies based on title alone. Articles that are considered for inclusion by at least one author will be included in the full text review with subsequent documentation of exclusion criteria. In this phase, disagreements will be resolved by consensus or third-party involvement if consensus is not reached to establish the final list of studies to be included.

Data extraction.

Data from included studies will be extracted by one of two reviewers (CRL, LEM, SWK) using a pre-designed data extraction form. The data extracted will then be independently verified for accuracy and completeness by the second author. Disagreements will be resolved by consensus through discussion or by adjudication involving a third reviewer. If relevant information is suspected to have been collected but not reported, attempts will be made to contact authors for clarification and data. See Data Extraction Form in Table 1.

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Table 1. Data extraction form.

https://doi.org/10.1371/journal.pone.0287887.t001

Quality assessment.

Two reviewers will independently complete the risk or bias/quality assessment for each included study. For randomized control trials, the Cochrane Risk of Bias tool version 2.0 will be utilized. For case-control, cohort and cross-sectional studies, the Newcastle-Ottawa Scale will be used. A summary of the quality assessment will be reported in risk of bias graphs. Disagreements in risk of bias assessments will be resolved through consensus, and if consensus cannot be reached, then using third-party adjudication.

Data synthesis

For the primary outcomes, a narrative synthesis will be performed and both study characteristics and results will be summarized in evidence tables. Following this, the data will undergo quantitative synthesis. For studies on PAP treatment acceptance or adherence, a weighted proportion or weighted average will be generated. The standard error of the weighted average will be used to derive a confidence interval, in order to inform the precision of the summary estimate.

For acceptance, the weighted proportion will subsequently be analyzed by stratifying by the two most common indications for PAP treatment, OSA and chronic hypercarbic respiratory failure, if sufficient data are available. For each subgroup analysis, the summary statistic will be calculated using a random-effects generic inverse-variance meta-analysis. With this analysis, evidence of statistical heterogeneity will be assessed as a p value from the Chi² statistic of <0.10. Statistical heterogeneity will be quantified using the I² summary statistic with values of <25%, 25–75% and > 75% representing low, moderate, and high degrees of heterogeneity, respectively. If the odds of acceptance are significantly different based upon whether the indication for treatment was OSA or chronic hypercarbic respiratory failure, the two groups will be analyzed for subsequent causes of heterogeneity separately; otherwise, subgroup analyses for causes of heterogeneity will be conducted on the whole population. The prespecified clinical subgroups selected through consensus by the study team members are as follows:

Presence of OSA or chronic hypercarbic respiratory failure as the indication for PAP treatment;
Commonly reported physiologic or historical factors of body mass index, forced expiratory volume in one second (FEV₁), awake hypercapnia or sleep related hypoventilation, COPD exacerbation history, long-term oxygen therapy;
Type of PAP treatment prescribed with a focus on CPAP or NIV;
Location of PAP titration (hospital/polysomnography vs home), follow-up interval, and whether follow-up included in person assessments or virtual assessments after the initial set-up.

For adherence, the outcome measure may be reported as a mean and standard deviation (SD) or a median with other measures of spread such as minimum, maximum or interquartile range (IQR) or a proportion of adherent patients, where appropriate. If sufficient data are available for analysis of the proportions of adherent patients, a meta-analysis will be performed according to the methodology for acceptance outlined above. For adherence, where the outcome data are reported as a mean and SD or a median with measures of spread, the following analytic techniques will additionally apply. For consistency in reporting into figures, studies with outcomes reported using a median for non-normal distribution will be transformed using the method by Wan et al. [32] and Hozo et al. [33] to estimate a mean and standard error. The summary effect estimate; however, will be obtained by applying a meta-analysis using a medians-based approach, rather than a transformational method [34]. The use of this analysis does not provide an estimate of between-study heterogeneity; therefore, between-study heterogeneity will be assessed by stratifying the analysis of the difference in medians or means. Initially, the analysis of the weighted averages will be stratified by indication, either OSA or chronic hypercarbic respiratory failure. If it is medians or a mixture of medians and means measured, the data will be synthesized for these subgroups using the quantile estimation method to compare the difference of medians [35]. If means and SD are available for all studies, the summary statistic of a weighted mean difference will be calculated using a random-effects generic inverse-variance meta-analysis as per in the aforementioned methodology. After the weighted mean or median difference between the two groups is calculated, a Z-statistic will be applied. If these summary effect estimates are significantly different, the data will be further analyzed by stratifying the remaining subgroups within each indication. If there is no difference between these two groups, then the data will be analyzed as a whole through stratified analysis along the aforementioned relevant clinical subgroups. Each subgroup analysis will be examined to see if heterogeneity of the primary outcomes is explained by differences in subgroups prespecified below when the Chi² distributions are compared using the degrees of freedom for between groups. For each analysis, a funnel plot will be constructed to identify the presence of publication bias if there are more than 10 included studies [26]. A sensitivity analysis will be used to assess the robustness of the results given the inclusion of various study types.

The secondary aim of this study will be to summarize variables found in studies to be associated in multivariate analysis with acceptance or adherence that could explain heterogeneity in the primary outcomes beyond the categories that were prespecified by the study team. For these variables, a narrative synthesis will be initially performed. Attempts will be made to dichotomize variables where there are multiple comparators or definitions (e.g., varying definitions or labels of the exposure rural versus urban). Where this synthesis is not possible, separate groups will be reported. The variables identified will be allocated into prespecified subcategories as previously described:

Factors associated with the indication for PAP treatment or variables associated with COPD;
Factors associated with PAP treatment delivery or support;
Social and economic factors;
Patient-related factors;
Health system/societal factors;
Research-specific factors;
Other factors.

Where possible, data for the secondary aim will undergo quantitative synthesis where the exposure and comparator have sufficient data that have been similarly defined (e.g., rural exposure compared to urban exposure). A similar statistical approach to the analysis of the secondary outcomes will be undertaken as compared to the primary outcomes, depending on whether means, medians or proportions are reported. A pooled odds ratio or relative risk or a mean difference will be used to generate summary estimates where there is sufficient outcome data. No subgroup analyses will be conducted on the secondary outcome. Where it is not possible to synthesize the data into a meta-analysis due to high heterogeneity (I²>75%), lack of similarity in the way the exposure and comparator have been defined, differences in the population or inability to compare study designs, effect direction plots or forest plots will be used to synthesize the secondary outcomes.

A formal method of documenting confidence in the cumulative estimate (such as GRADE) will not be incorporated as the utility of this systematic review will depend on the health care context.

Timeline

We anticipate finishing the search, screening, data extraction and synthesis by May 2023. Prior to completing the data synthesis, the search will be updated to ensure that all relevant literature has been captured prior to finalizing the study results.

Discussion

This review protocol is novel in that it frames a methodological approach synthesizing the acceptance of and adherence with a complex intervention for which there is not a good comparison group. The strengths of this study are the methodological rigour with a registered and published protocol including detailed reporting of the outcomes and anticipated synthesis of the available data. The study population is well defined, as is the intervention being assessed. The searches for relevant studies will be comprehensive to reduce publication bias. The synthesis of the acceptance and adherence of PAP treatment across indications and interventions will allow for a detailed summary of the evidence. The pre-specified statistical analysis plan will summarize the measures of adherence and acceptance without a comparator, and still explore clinically relevant subgroups within the study population as a cause of heterogeneity in the primary outcomes that would allow for clinically meaningful interpretation of the results. A strength of this study is the additional effort to summarize exposure variables associated with the primary outcomes that were not prespecified by the study team in an effort to highlight any areas for future work going forward to explore heterogeneity in the primary outcomes.

Despite significant effort to ensure a strong methodological approach to this review, several study limitations are anticipated. The literature will be focused on specific indications and subgroups of clinical interest such as chronic hypercarbic respiratory failure in patients with COPD. This may limit generalizability of the synthesis results to the broader COPD population or to certain types of PAP treatment and reduce the value of efforts to quantitatively synthesize these data. Patients with overlapping indications for treatment may be underrepresented in this data synthesis. The statistical analysis may be challenging due to the various measures through which the primary outcomes of the study will be reported. Secondary variables are anticipated to also have variable definitions, which may preclude meaningful synthesis of the data. In anticipation of this, the qualitative and quantitative syntheses were developed to be comprehensive.

Conclusion

To our knowledge, this will be the first systematic review to summarize data on acceptance of and adherence to PAP treatment in patients with COPD. Overall, the use of PAP treatment comes with a unique set of challenges. Through this protocol work, a clear methodology for a comprehensive and transparent systematic review of the existing literature on PAP acceptance and adherence in patients with COPD has been outlined. The prespecified data synthesis accounts for anticipated challenges with variability in measurement and anticipated analytic challenges of summarizing success with a complex intervention in a heterogeneous study population with heterogeneous measures of the primary outcomes. This review will provide a framework for strong methodological rigour in the synthesis of data on PAP treatment acceptance and adherence in patients with COPD.

Supporting information

S1 Checklist. PRISMA-P (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols) 2015 checklist: Recommended items to address in a systematic review protocol*.

https://doi.org/10.1371/journal.pone.0287887.s001

(PDF)

S1 Appendix. Search strategy for OVID Medline.

https://doi.org/10.1371/journal.pone.0287887.s002

(DOCX)

Acknowledgments

We acknowledge the contributions of Mr. Scott W. Kirkland (SWK) who will contribute to data extraction and synthesis in the proposed systematic review.

References

1. Putcha N, Drummond MB, Wise RA, Hansel NN. Comorbidities and chronic obstructive pulmonary disease: prevalence, influence on outcomes, and management. Semin Respir Crit Care Med. 2015;36:575–91. pmid:26238643
- View Article
- PubMed/NCBI
- Google Scholar
2. Connors AF Jr., Dawson NV, Thomas C, Harrell FE Jr., Desbiens N, Fulkerson WJ, et al. Outcomes following acute exacerbation of severe chronic obstructive lung disease. The SUPPORT investigators (Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments). Am J Respir Crit Care Med. 1996;154:959–67. pmid:8887592
- View Article
- PubMed/NCBI
- Google Scholar
3. Mermigkis C, Kopanakis A, Foldvary-Schaefer N, Golish J, Polychronopoulos V, Schiza S, et al. Health-related quality of life in patients with obstructive sleep apnoea and chronic obstructive pulmonary disease (overlap syndrome). Int J Clin Pract. 2007;61:207–11. pmid:17263708
- View Article
- PubMed/NCBI
- Google Scholar
4. Naranjo M, Willes L, Prillaman BA, Quan SF, Sharma S. Undiagnosed OSA may significantly affect outcomes in adults admitted for COPD in an inner-city hospital. Chest. 2020;158:1198–207. pmid:32247716
- View Article
- PubMed/NCBI
- Google Scholar
5. Jaoude P, Kufel T, El-Solh AA. Survival benefit of CPAP favors hypercapnic patients with the overlap syndrome. Lung. 2014;192:251–8. pmid:24452812
- View Article
- PubMed/NCBI
- Google Scholar
6. Interventions for the treatment of obstructive sleep apnea in adults: a health technology assessment. Ottawa (ON): Canadian Agency for Drugs and Technologies in Health; 2017 Mar. (CADTH optimal use report; vol.6, no1b). Available from https://www.cadth.ca/sites/default/files/pdf/OP0525_OSA_Treatment_HTA_Report.pdf.
7. Gay PC, Herold DL, Olson EJ. A randomized, double-blind clinical trial comparing continuous positive airway pressure with a novel bilevel pressure system for treatment of obstructive sleep apnea syndrome. Sleep. 2003;26:864–9. pmid:14655921
- View Article
- PubMed/NCBI
- Google Scholar
8. Reeves-Hoché MK, Hudgel DW, Meck R, Witteman R, Ross A, Zwillich CW. Continuous versus bilevel positive airway pressure for obstructive sleep apnea. Am J Respir Crit Care Med. 1995;151:443–9. pmid:7842204
- View Article
- PubMed/NCBI
- Google Scholar
9. Machado MC, Vollmer WM, Togeiro SM, Bilderback AL, Oliveira MV, Leitao FS, et al. CPAP and survival in moderate-to-severe obstructive sleep apnoea syndrome and hypoxaemic COPD. Eur Respir J. 2010;35:132–7. pmid:19574323
- View Article
- PubMed/NCBI
- Google Scholar
10. Stanchina ML, Welicky LM, Donat W, Lee D, Corrao W, Malhotra A. Impact of CPAP use and age on mortality in patients with combined COPD and obstructive sleep apnea: the overlap syndrome. J Clin Sleep Med 2013;9:767–72. pmid:23946706
- View Article
- PubMed/NCBI
- Google Scholar
11. Marin JM, Soriano JB, Carrizo SJ, Boldova A, Celli BR. Outcomes in patients with chronic obstructive pulmonary disease and obstructive sleep apnea: the overlap syndrome. Am J Respir Crit Care Med. 2010;182:325–31. pmid:20378728
- View Article
- PubMed/NCBI
- Google Scholar
12. Sterling KL, Pepin J-L, Linde-Zwirble W, Chen J, Benjafield AV, Cistulli PA, et al. Impact of positive airway pressure therapy adherence on outcomes in patients with obstructive sleep apnea and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2022;206(2):197–205. pmid:35436176
- View Article
- PubMed/NCBI
- Google Scholar
13. Singh G, Agarwal A, Zhang W, Kuo YF, Sultana R, Sharma G. Impact of PAP therapy on hospitalization rates in Medicare beneficiaries with COPD and coexisting OSA. Sleep Breath. 2019;23:193–200. pmid:29931497
- View Article
- PubMed/NCBI
- Google Scholar
14. Piper AJ, Sullivan CE. Effects of short-term NIPPV in the treatment of patients with severe obstructive sleep apnea and hypercapnia. Chest. 1994;105: 434–40. pmid:8306742
- View Article
- PubMed/NCBI
- Google Scholar
15. Povitz M, Hanly PJ, Pendharkar SR, James MT, Tsai WH. Treatment of sleep disordered breathing liberates obese hypoxemic patients from oxygen. PLOS ONE. 2015;10:e0140135. pmid:26451835
- View Article
- PubMed/NCBI
- Google Scholar
16. Ballard RD, Gay PC, Strollo PJ. Interventions to improve compliance in sleep apnea patients previously non-compliant with continuous positive airway pressure. J Clin Sleep Med. 2007;3:706–12. pmid:18198804
- View Article
- PubMed/NCBI
- Google Scholar
17. Ishak A, Ramsay M, Hart N, Steier J. BPAP is an effective second-line therapy for obese patients with OSA failing regular CPAP: A prospective observational cohort study. Respirology. 2020;25:443–8. pmid:31407464
- View Article
- PubMed/NCBI
- Google Scholar
18. Mokhlesi B, Masa JF, Afshar M, Pacheco VA, Berlowitz DJ, Borel J-C, et al. The effect of hospital discharge with empiric noninvasive ventilation on mortality in hospitalized patients with obesity hypoventilation syndrome. An individual patient data meta-analysis. Ann Am Thorac Soc. 2020;17(5):627–37. pmid:32023419
- View Article
- PubMed/NCBI
- Google Scholar
19. Wilson ME, Dobler CC, Morrow AS, Beuschel B, Alsawas M, Benkhadra R, et al. Association of home noninvasive positive pressure ventilation with clinical outcomes in chronic obstructive pulmonary disease: a systematic review and meta-analysis. JAMA. 2020;323(5):455–65. pmid:32016309
- View Article
- PubMed/NCBI
- Google Scholar
20. Murphy PB, Rehal S, Arbane G, Bourke S, Calverley PMA, Crook AM, et al. Effect of home noninvasive ventilation with oxygen therapy vs oxygen therapy alone on hospital readmission or death after an acute COPD exacerbation: a randomized clinical trial. JAMA. 2017;317(21):2177–86. pmid:28528348
- View Article
- PubMed/NCBI
- Google Scholar
21. Masa JF, Mokhlesi B, Benítez I, Gomez de Terreros FJ, Sánchez-Quiroga M, Romero A, et al. Long-term clinical effectiveness of continuous positive airway pressure therapy versus non-invasive ventilation therapy in patients with obesity hypoventilation syndrome: a multicentre, open-label, randomised controlled trial. Lancet. 2019;393:1721–32. pmid:30935737
- View Article
- PubMed/NCBI
- Google Scholar
22. Bakker JP, Weaver TE, Parthasarathy S, Aloia MS. Adherence to CPAP: What should we be aiming for, and how can we get there? Chest. 2019;155:1272–87. pmid:30684472
- View Article
- PubMed/NCBI
- Google Scholar
23. World Health Organization. (‎2003)‎. Adherence to long-term therapies: evidence for action. World Health Organization. https://apps.who.int/iris/handle/10665/42682
24. Sawyer AM, Gooneratne NS, Marcus CL, Ofer D, Richards KC, Weaver TE. A systematic review of CPAP adherence across age groups: clinical and empiric insights for developing CPAP adherence interventions. Sleep Med Rev. 2011;15:343–56. pmid:21652236
- View Article
- PubMed/NCBI
- Google Scholar
25. Mehrtash M, Bakker JP, Ayas N. Predictors of continuous positive airway pressure adherence in patients with obstructive sleep apnea. Lung. 2019;197:115–21. pmid:30617618
- View Article
- PubMed/NCBI
- Google Scholar
26. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. Available from http://www.training.cochrane.org/handbook.
- View Article
- Google Scholar
27. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021 Mar 29;372:n71. pmid:33782057
- View Article
- PubMed/NCBI
- Google Scholar
28. Djavadkhani Y, Marshall NS, D’Rozario AL, Crawford MR, Yee BJ, Grunstein RR, et al. Ethics, consent and blinding: lessons from a placebo/sham controlled CPAP crossover trial. Thorax. 2015;70:265–9. pmid:25595508
- View Article
- PubMed/NCBI
- Google Scholar
29. Weaver TE, Kribbs NB, Pack AI, Kline LR, Chugh DK, Maislin G, et al. Night-to-night variability in CPAP use over the first three months of treatment. Sleep. 1997;20:278–83. pmid:9231953
- View Article
- PubMed/NCBI
- Google Scholar
30. Budhiraja R, Parthasarathy S, Drake CL, Roth T, Sharief I, Budhiraja P, et al. Early CPAP use identifies subsequent adherence to CPAP therapy. Sleep. 2007;30:320–4. pmid:17425228
- View Article
- PubMed/NCBI
- Google Scholar
31. Van Ryswyk E, Anderson CS, Antic NA, Barbe F, Bittencourt L, Freed R, et al. Predictors of long-term adherence to continuous positive airway pressure in patients with obstructive sleep apnea and cardiovascular disease. Sleep. 2019;42:zsz152. pmid:31587046
- View Article
- PubMed/NCBI
- Google Scholar
32. Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135. pmid:25524443
- View Article
- PubMed/NCBI
- Google Scholar
33. Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol. 2005;5:13. pmid:15840177
- View Article
- PubMed/NCBI
- Google Scholar
34. McGrath S, Zhao X, Qin ZZ, Steele R, Benedetti A. One-sample aggregate data meta-analysis of medians. Stat Med. 2019;38:969–84. pmid:30460713
- View Article
- PubMed/NCBI
- Google Scholar
35. McGrath S, Sohn H, Steele R, Benedetti A. Meta-analysis of the difference of medians. Biom J. 2020;62:69–98. pmid:31553488
- View Article
- PubMed/NCBI
- Google Scholar

[ref1] 1. Putcha N, Drummond MB, Wise RA, Hansel NN. Comorbidities and chronic obstructive pulmonary disease: prevalence, influence on outcomes, and management. Semin Respir Crit Care Med. 2015;36:575–91. pmid:26238643
View Article
PubMed/NCBI
Google Scholar

[2] View Article

[3] PubMed/NCBI

[4] Google Scholar

[ref2] 2. Connors AF Jr., Dawson NV, Thomas C, Harrell FE Jr., Desbiens N, Fulkerson WJ, et al. Outcomes following acute exacerbation of severe chronic obstructive lung disease. The SUPPORT investigators (Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments). Am J Respir Crit Care Med. 1996;154:959–67. pmid:8887592
View Article
PubMed/NCBI
Google Scholar

[6] View Article

[7] PubMed/NCBI

[8] Google Scholar

[ref3] 3. Mermigkis C, Kopanakis A, Foldvary-Schaefer N, Golish J, Polychronopoulos V, Schiza S, et al. Health-related quality of life in patients with obstructive sleep apnoea and chronic obstructive pulmonary disease (overlap syndrome). Int J Clin Pract. 2007;61:207–11. pmid:17263708
View Article
PubMed/NCBI
Google Scholar

[10] View Article

[11] PubMed/NCBI

[12] Google Scholar

[ref4] 4. Naranjo M, Willes L, Prillaman BA, Quan SF, Sharma S. Undiagnosed OSA may significantly affect outcomes in adults admitted for COPD in an inner-city hospital. Chest. 2020;158:1198–207. pmid:32247716
View Article
PubMed/NCBI
Google Scholar

[14] View Article

[15] PubMed/NCBI

[16] Google Scholar

[ref5] 5. Jaoude P, Kufel T, El-Solh AA. Survival benefit of CPAP favors hypercapnic patients with the overlap syndrome. Lung. 2014;192:251–8. pmid:24452812
View Article
PubMed/NCBI
Google Scholar

[18] View Article

[19] PubMed/NCBI

[20] Google Scholar

[ref6] 6. Interventions for the treatment of obstructive sleep apnea in adults: a health technology assessment. Ottawa (ON): Canadian Agency for Drugs and Technologies in Health; 2017 Mar. (CADTH optimal use report; vol.6, no1b). Available from https://www.cadth.ca/sites/default/files/pdf/OP0525_OSA_Treatment_HTA_Report.pdf.

[ref7] 7. Gay PC, Herold DL, Olson EJ. A randomized, double-blind clinical trial comparing continuous positive airway pressure with a novel bilevel pressure system for treatment of obstructive sleep apnea syndrome. Sleep. 2003;26:864–9. pmid:14655921
View Article
PubMed/NCBI
Google Scholar

[23] View Article

[24] PubMed/NCBI

[25] Google Scholar

[ref8] 8. Reeves-Hoché MK, Hudgel DW, Meck R, Witteman R, Ross A, Zwillich CW. Continuous versus bilevel positive airway pressure for obstructive sleep apnea. Am J Respir Crit Care Med. 1995;151:443–9. pmid:7842204
View Article
PubMed/NCBI
Google Scholar

[27] View Article

[28] PubMed/NCBI

[29] Google Scholar

[ref9] 9. Machado MC, Vollmer WM, Togeiro SM, Bilderback AL, Oliveira MV, Leitao FS, et al. CPAP and survival in moderate-to-severe obstructive sleep apnoea syndrome and hypoxaemic COPD. Eur Respir J. 2010;35:132–7. pmid:19574323
View Article
PubMed/NCBI
Google Scholar

[31] View Article

[32] PubMed/NCBI

[33] Google Scholar

[ref10] 10. Stanchina ML, Welicky LM, Donat W, Lee D, Corrao W, Malhotra A. Impact of CPAP use and age on mortality in patients with combined COPD and obstructive sleep apnea: the overlap syndrome. J Clin Sleep Med 2013;9:767–72. pmid:23946706
View Article
PubMed/NCBI
Google Scholar

[35] View Article

[36] PubMed/NCBI

[37] Google Scholar

[ref11] 11. Marin JM, Soriano JB, Carrizo SJ, Boldova A, Celli BR. Outcomes in patients with chronic obstructive pulmonary disease and obstructive sleep apnea: the overlap syndrome. Am J Respir Crit Care Med. 2010;182:325–31. pmid:20378728
View Article
PubMed/NCBI
Google Scholar

[39] View Article

[40] PubMed/NCBI

[41] Google Scholar

[ref12] 12. Sterling KL, Pepin J-L, Linde-Zwirble W, Chen J, Benjafield AV, Cistulli PA, et al. Impact of positive airway pressure therapy adherence on outcomes in patients with obstructive sleep apnea and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2022;206(2):197–205. pmid:35436176
View Article
PubMed/NCBI
Google Scholar

[43] View Article

[44] PubMed/NCBI

[45] Google Scholar

[ref13] 13. Singh G, Agarwal A, Zhang W, Kuo YF, Sultana R, Sharma G. Impact of PAP therapy on hospitalization rates in Medicare beneficiaries with COPD and coexisting OSA. Sleep Breath. 2019;23:193–200. pmid:29931497
View Article
PubMed/NCBI
Google Scholar

[47] View Article

[48] PubMed/NCBI

[49] Google Scholar

[ref14] 14. Piper AJ, Sullivan CE. Effects of short-term NIPPV in the treatment of patients with severe obstructive sleep apnea and hypercapnia. Chest. 1994;105: 434–40. pmid:8306742
View Article
PubMed/NCBI
Google Scholar

[51] View Article

[52] PubMed/NCBI

[53] Google Scholar

[ref15] 15. Povitz M, Hanly PJ, Pendharkar SR, James MT, Tsai WH. Treatment of sleep disordered breathing liberates obese hypoxemic patients from oxygen. PLOS ONE. 2015;10:e0140135. pmid:26451835
View Article
PubMed/NCBI
Google Scholar

[55] View Article

[56] PubMed/NCBI

[57] Google Scholar

[ref16] 16. Ballard RD, Gay PC, Strollo PJ. Interventions to improve compliance in sleep apnea patients previously non-compliant with continuous positive airway pressure. J Clin Sleep Med. 2007;3:706–12. pmid:18198804
View Article
PubMed/NCBI
Google Scholar

[59] View Article

[60] PubMed/NCBI

[61] Google Scholar

[ref17] 17. Ishak A, Ramsay M, Hart N, Steier J. BPAP is an effective second-line therapy for obese patients with OSA failing regular CPAP: A prospective observational cohort study. Respirology. 2020;25:443–8. pmid:31407464
View Article
PubMed/NCBI
Google Scholar

[63] View Article

[64] PubMed/NCBI

[65] Google Scholar

[ref18] 18. Mokhlesi B, Masa JF, Afshar M, Pacheco VA, Berlowitz DJ, Borel J-C, et al. The effect of hospital discharge with empiric noninvasive ventilation on mortality in hospitalized patients with obesity hypoventilation syndrome. An individual patient data meta-analysis. Ann Am Thorac Soc. 2020;17(5):627–37. pmid:32023419
View Article
PubMed/NCBI
Google Scholar

[67] View Article

[68] PubMed/NCBI

[69] Google Scholar

[ref19] 19. Wilson ME, Dobler CC, Morrow AS, Beuschel B, Alsawas M, Benkhadra R, et al. Association of home noninvasive positive pressure ventilation with clinical outcomes in chronic obstructive pulmonary disease: a systematic review and meta-analysis. JAMA. 2020;323(5):455–65. pmid:32016309
View Article
PubMed/NCBI
Google Scholar

[71] View Article

[72] PubMed/NCBI

[73] Google Scholar

[ref20] 20. Murphy PB, Rehal S, Arbane G, Bourke S, Calverley PMA, Crook AM, et al. Effect of home noninvasive ventilation with oxygen therapy vs oxygen therapy alone on hospital readmission or death after an acute COPD exacerbation: a randomized clinical trial. JAMA. 2017;317(21):2177–86. pmid:28528348
View Article
PubMed/NCBI
Google Scholar

[75] View Article

[76] PubMed/NCBI

[77] Google Scholar

[ref21] 21. Masa JF, Mokhlesi B, Benítez I, Gomez de Terreros FJ, Sánchez-Quiroga M, Romero A, et al. Long-term clinical effectiveness of continuous positive airway pressure therapy versus non-invasive ventilation therapy in patients with obesity hypoventilation syndrome: a multicentre, open-label, randomised controlled trial. Lancet. 2019;393:1721–32. pmid:30935737
View Article
PubMed/NCBI
Google Scholar

[79] View Article

[80] PubMed/NCBI

[81] Google Scholar

[ref22] 22. Bakker JP, Weaver TE, Parthasarathy S, Aloia MS. Adherence to CPAP: What should we be aiming for, and how can we get there? Chest. 2019;155:1272–87. pmid:30684472
View Article
PubMed/NCBI
Google Scholar

[83] View Article

[84] PubMed/NCBI

[85] Google Scholar

[ref23] 23. World Health Organization. (‎2003)‎. Adherence to long-term therapies: evidence for action. World Health Organization. https://apps.who.int/iris/handle/10665/42682

[ref24] 24. Sawyer AM, Gooneratne NS, Marcus CL, Ofer D, Richards KC, Weaver TE. A systematic review of CPAP adherence across age groups: clinical and empiric insights for developing CPAP adherence interventions. Sleep Med Rev. 2011;15:343–56. pmid:21652236
View Article
PubMed/NCBI
Google Scholar

[88] View Article

[89] PubMed/NCBI

[90] Google Scholar

[ref25] 25. Mehrtash M, Bakker JP, Ayas N. Predictors of continuous positive airway pressure adherence in patients with obstructive sleep apnea. Lung. 2019;197:115–21. pmid:30617618
View Article
PubMed/NCBI
Google Scholar

[92] View Article

[93] PubMed/NCBI

[94] Google Scholar

[ref26] 26. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. Available from http://www.training.cochrane.org/handbook.
View Article
Google Scholar

[96] View Article

[97] Google Scholar

[ref27] 27. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021 Mar 29;372:n71. pmid:33782057
View Article
PubMed/NCBI
Google Scholar

[99] View Article

[100] PubMed/NCBI

[101] Google Scholar

[ref28] 28. Djavadkhani Y, Marshall NS, D’Rozario AL, Crawford MR, Yee BJ, Grunstein RR, et al. Ethics, consent and blinding: lessons from a placebo/sham controlled CPAP crossover trial. Thorax. 2015;70:265–9. pmid:25595508
View Article
PubMed/NCBI
Google Scholar

[103] View Article

[104] PubMed/NCBI

[105] Google Scholar

[ref29] 29. Weaver TE, Kribbs NB, Pack AI, Kline LR, Chugh DK, Maislin G, et al. Night-to-night variability in CPAP use over the first three months of treatment. Sleep. 1997;20:278–83. pmid:9231953
View Article
PubMed/NCBI
Google Scholar

[107] View Article

[108] PubMed/NCBI

[109] Google Scholar

[ref30] 30. Budhiraja R, Parthasarathy S, Drake CL, Roth T, Sharief I, Budhiraja P, et al. Early CPAP use identifies subsequent adherence to CPAP therapy. Sleep. 2007;30:320–4. pmid:17425228
View Article
PubMed/NCBI
Google Scholar

[111] View Article

[112] PubMed/NCBI

[113] Google Scholar

[ref31] 31. Van Ryswyk E, Anderson CS, Antic NA, Barbe F, Bittencourt L, Freed R, et al. Predictors of long-term adherence to continuous positive airway pressure in patients with obstructive sleep apnea and cardiovascular disease. Sleep. 2019;42:zsz152. pmid:31587046
View Article
PubMed/NCBI
Google Scholar

[115] View Article

[116] PubMed/NCBI

[117] Google Scholar

[ref32] 32. Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135. pmid:25524443
View Article
PubMed/NCBI
Google Scholar

[119] View Article

[120] PubMed/NCBI

[121] Google Scholar

[ref33] 33. Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol. 2005;5:13. pmid:15840177
View Article
PubMed/NCBI
Google Scholar

[123] View Article

[124] PubMed/NCBI

[125] Google Scholar

[ref34] 34. McGrath S, Zhao X, Qin ZZ, Steele R, Benedetti A. One-sample aggregate data meta-analysis of medians. Stat Med. 2019;38:969–84. pmid:30460713
View Article
PubMed/NCBI
Google Scholar

[127] View Article

[128] PubMed/NCBI

[129] Google Scholar

[ref35] 35. McGrath S, Sohn H, Steele R, Benedetti A. Meta-analysis of the difference of medians. Biom J. 2020;62:69–98. pmid:31553488
View Article
PubMed/NCBI
Google Scholar

[131] View Article

[132] PubMed/NCBI

[133] Google Scholar

Figures

Abstract

Background

Methods

Discussion

Trial registration

Introduction

Materials and methods

Study design

Eligibility criteria

Types of studies.

Types of participants/population.

Exposures.

Comparator.

Outcomes.

Information sources.

Study records

Data management.

Selection process.

Data extraction.

Quality assessment.

Data synthesis

Timeline

Discussion

Conclusion

Supporting information

S1 Checklist. PRISMA-P (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols) 2015 checklist: Recommended items to address in a systematic review protocol*.

S1 Appendix. Search strategy for OVID Medline.

Acknowledgments

References