Cardiovascular disease in idiopathic pulmonary fibrosis: a systematic review and meta-analysis of observational studies.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-09-22 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1653435
Yang Li, Weili Tan, Yangyini Zhang, Fang Cao, Zhisong Wu, Yang Jiao, Jie Niu
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引用次数: 0

Abstract

Background: Cardiovascular (CV) comorbidities can affect drug tolerability and health outcomes in patients with idiopathic pulmonary fibrosis (IPF). This systematic review and meta-analysis aimed to quantify the magnitudes of association between IPF and both overall and specific categories of CV disease.

Methods: The PRISMA guidelines and PICO model were followed. We searched PubMed, Embase, Web of Science, Cochrane Library, and Chinese Biomedical Literature Service System (Sinomed) from inception to April 2025 for studies investigating CV disease in IPF patients. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). Pooled odds ratio (OR) for case-control/cross-sectional datasets and relative risk (RR) for cohort datasets were calculated using Review Manager 5.4. The I 2 test was used to evaluate the heterogeneity and the sources of heterogeneity were explored through sensitivity analyses, meta-regression, and subgroup analyses. The funnel plot and Egger's test were used to evaluate publication bias.

Results: A total of 28 studies comprising 29 case-control/cross-sectional datasets and four cohort datasets were included, which indicated a positive association between IPF and CV disease (OR 2.44, 95% CI 1.84-3.24, P < 0.001; RR 1.44, 95% CI 1.07-1.92, P = 0.02). Meta-regression and maximized subgroup analyses confirmed the influence of control characteristics (P < 0.001), data source (P = 0.027), Newcastle-Ottawa Scale (NOS) score (P = 0.022), certainty of CV disease diagnosis (P = 0.027), body mass index (BMI), smoking status, and diabetes prevalence on both heterogeneity and risk estimates in the case-control/cross-sectional datasets. The OR varied across the CV disease category, with 1.14- to 2.51-fold increased risks for ischemic heart disease, thromboembolic disease, pulmonary hypertension, and other forms of heart disease.

Conclusion: Idiopathic pulmonary fibrosis is significantly associated with CV disease, emphasizing the urgent need for systematic screening and risk reduction strategies in IPF patients.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251013917, identifier CRD420251013917.

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特发性肺纤维化中的心血管疾病:观察性研究的系统回顾和荟萃分析
背景:心血管(CV)合并症可影响特发性肺纤维化(IPF)患者的药物耐受性和健康结局。本系统综述和荟萃分析旨在量化IPF与心血管疾病总体和特定类别之间的关联程度。方法:采用PRISMA指南和PICO模型。我们检索了PubMed, Embase, Web of Science, Cochrane Library和中国生物医学文献服务系统(Sinomed),从成立到2025年4月,调查IPF患者CV疾病的研究。采用纽卡斯尔-渥太华量表(NOS)评估研究质量。使用Review Manager 5.4计算病例对照/横断面数据集的合并优势比(OR)和队列数据集的相对风险(RR)。采用i2检验评价异质性,并通过敏感性分析、meta回归和亚组分析探讨异质性的来源。采用漏斗图和Egger检验评价发表偏倚。结果:共纳入28项研究,包括29个病例对照/横断面数据集和4个队列数据集,表明IPF与CV疾病呈正相关(OR 2.44, 95% CI 1.84-3.24, P < 0.001; RR 1.44, 95% CI 1.07-1.92, P = 0.02)。meta回归和最大亚组分析证实了对照特征(P < 0.001)、数据源(P = 0.027)、纽卡斯尔-渥太华量表(NOS)评分(P = 0.022)、CV疾病诊断的确定性(P = 0.027)、体重指数(BMI)、吸烟状况和糖尿病患病率对病例-对照/横断面数据集中异质性和风险估计的影响。不同心血管疾病类别的OR不同,缺血性心脏病、血栓栓塞性疾病、肺动脉高压和其他形式心脏病的风险增加1.14至2.51倍。结论:特发性肺纤维化与CV疾病显著相关,迫切需要对IPF患者进行系统筛查和降低风险策略。系统综述注册:https://www.crd.york.ac.uk/PROSPERO/view/CRD420251013917,标识符CRD420251013917。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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