Patient-centred understanding of quality of life, symptoms, health equity in cystic fibrosis (PULSE-CF): study protocol for an observational study.

IF 4 3区 医学 Q1 RESPIRATORY SYSTEM
Alexander Evan Soltoff, Jane Lowers, Cade Hovater, Kasey Seymour, Elisabeth P Dellon, Brandi Middour-Oxler, Chris Driggers, Reva Crandall, Joshua D Chandler, Nicholas A Giordano, Min Huang, Anne Fitzpatrick, Arlene Stecenko, Ryan A Harris, Rishikesan Kamaleswaran, Scott Gillespie, Dio Kavalieratos
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引用次数: 0

Abstract

Introduction: Cystic fibrosis (CF) is a progressive, life-limiting condition affecting more than 160 000 people worldwide. Despite major therapeutic advances that have extended life expectancy, people living with CF continue to experience substantial physical, emotional and social symptom burdens that impair quality of life (QOL). Symptoms in CF often co-occur, indicating the presence of specific symptom clustering. Different clusters of co-occurring symptoms may reflect distinct underlying biological mechanisms influenced by social determinants of health. This study aims to identify clusters of co-occurring symptoms among adults with CF, characterise the biological pathways that may underlie these clusters and examine how social and structural factors influence symptom experiences and QOL.

Methods and analysis: This is a two-site, prospective mixed-methods cohort study enrolling approximately 140 adults with CF from two academic medical centres in the Southern United States. Participants will be followed for 12 months using validated patient-reported outcome measures to assess symptoms and QOL at baseline and at 3, 6, 9 and 12 months. Clinical data will be collected through chart review, and biospecimens (plasma and exhaled breath condensate) will be obtained at baseline, 6 months and 12 months for metabolomic analysis. Qualitative interviews and healthcare experience surveys will be conducted to explore how social, structural and clinical factors influence symptom burden and care experiences. Statistical analyses will use unsupervised machine learning methods to identify symptom clusters and metabolic endotypes as well as longitudinal regression models to examine associations between symptom patterns and QOL outcomes.

Ethics and dissemination: This study involves human participants and was approved by the Emory University Institutional Review Board (2025P011492). All participants will provide informed consent prior to enrolment. We will publish the results of this study in a peer-reviewed journal.

以患者为中心了解囊性纤维化患者的生活质量、症状和健康公平性(PULSE-CF):一项观察性研究的研究方案
导语:囊性纤维化(CF)是一种进行性、限制生命的疾病,影响着全世界超过16万人。尽管主要的治疗进展延长了预期寿命,但CF患者仍然会经历大量的身体、情绪和社会症状负担,从而影响生活质量(QOL)。CF的症状经常同时出现,表明存在特定的症状聚类。不同的症状群可能反映受健康社会决定因素影响的不同潜在生物学机制。本研究旨在确定CF成人中共同出现的症状群,描述可能构成这些症状群的生物学途径,并研究社会和结构因素如何影响症状经历和生活质量。方法和分析:这是一项双地点、前瞻性混合方法队列研究,纳入了来自美国南部两个学术医疗中心的约140名CF成人患者。参与者将使用经过验证的患者报告的结果测量方法随访12个月,以评估基线和3、6、9和12个月的症状和生活质量。通过图表审查收集临床数据,并在基线、6个月和12个月时获得生物标本(血浆和呼出冷凝水)进行代谢组学分析。质性访谈和医疗保健经验调查将探讨社会、结构和临床因素如何影响症状负担和护理经验。统计分析将使用无监督机器学习方法来识别症状集群和代谢内型,以及纵向回归模型来检查症状模式和生活质量结果之间的关联。伦理与传播:本研究涉及人类参与者,并已获得埃默里大学机构审查委员会(2025P011492)的批准。所有参与者将在报名前提供知情同意。我们将在同行评议的期刊上发表这项研究的结果。
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来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
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