The effect of frailty in pleural disease using the SAIL Databank: a study protocol.

Author:

Verduri Alessia1,Carter Ben2,Barton Eleanor3,Short Roxanna2,Maskell Nick A3,Hewitt Jonathan4

Affiliation:

1. University of Modena and Reggio Emilia

2. King’s College London

3. University of Bristol

4. Cardiff University

Abstract

Abstract Background Frailty can impact on patient care and its assessment may improve patient management and clinical outcomes. Pleural disease is common and associated with increased mortality and symptoms, but prediction of outcomes is limited and there is currently no evidence available on the relationship between frailty and outcomes in these patients. This protocol describes an observational study which sets out to assess whether frailty correlates with survival and morbidity in patients with malignant or non-malignant pleural disease. Methods Participants with a first episode of pleural disease after 1st January 2005 will be identified from the SAIL Databank using ICD-10 read codes. The electronic frailty index (eFI), included within the databank and measured at the time of first diagnosis of pleural disease, will provide stratification of patients by frailty status. Baseline data collection will also include: patient demographics, presence of comorbidities, smoking status, date of death. The eFI will be correlated with clinical outcomes, including survival, index hospitalisation, length of stay, readmissions, total number of hospitalisations. Our primary analysis will be all-cause mortality by eFI, adjusted for age (≤ 64, 65–74, 75–84, and ≥ 85), sex, ethnicity, deprivation score, smoking status, Charlson Comorbidity Index. The secondary analyses will be pleural disease-specific mortality, time to first hospital admission (all-cause and disease-specific), total length of stay, and readmissions. All analyses will be presented as crude and adjusted HR and OR with associated 95% CIs and p values. Discussion The aim of this study is to collect targeted data from a large dataset of subjects with a wide range of pleural disease and provide first data of size reviewing the link between frailty and pleural disease. The eFI can be a potential tool to guide clinical decision making in pleural disease. Trial registration Retrospectively registered.

Publisher

Research Square Platform LLC

Reference12 articles.

1. Frailty in elderly people;Clegg A;Lancet,2013

2. Frailty in Older Adults: Evidence for a Phenotype;Fried LP;J Gerontol A Biol Sci Med Sci,2001

3. Accumulation of deficit as a proxy measure of aging;Mitnitski A;ScientificWorldJournal,2001

4. Prevalence and 10-Year Outcomes of Frailty in Older Adults in Relation to Deficit Accumulation;Song X;J Am Geriatr Soc,2010

5. Bodtger U, Hallifax RJ. Epidemiology: why is pleural disease becoming more common? In: Pleural Disease (ERS Monograph). Eur Respir Monogr 2020; 87:1–12.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3