{"title":"慢性阻塞性肺疾病急性加重和呼吸衰竭患者的红细胞分布宽度与白蛋白比与住院死亡率的关系:一项回顾性队列研究","authors":"Ruoqing Zhou, Dianzhu Pan","doi":"10.1080/17520363.2025.2548189","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to investigate the association between the Red cell distribution width-to-albumin ratio (RAR) and in-hospital mortality in patients experiencing Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) with concurrent Respiratory Failure (RF).</p><p><strong>Methods: </strong>This retrospective study included 594 patients diagnosed with AECOPD and RF at the first affiliated hospital of Jinzhou Medical University, China, between January 2021 and September 2023. The primary outcome measure was in-hospital mortality rate. The participants were categorized into three groups according to RAR tertiles: T1 (2.535-3.871), <i>N</i> = 198; T2 (3.88-4.547), <i>N</i> = 196; and T3 (4.56-11.031), <i>N</i> = 200. Logistic regression and subgroup analyses were performed to investigate the relationship between RAR and AECOPD and RF prognosis in patients.</p><p><strong>Results: </strong>The average age of the participants was 72.1 ± 9.7 years, with 52.2% men (<i>n</i> = 310). The mean RAR was 4.3 ± 1.0%/g/dL. After adjusting for covariates, the odds ratio for in-hospital mortality per unit increase in RAR was 1.74 [95% Confidence Interval: 1.19-2.55], <i>p</i> = 0.004. A linear relationship was observed between RAR and in-hospital mortality among patients with AECOPD and RF.</p><p><strong>Conclusion: </strong>RAR is an independent risk factor for in-hospital mortality in patients with AECOPD complicated by RF. Elevated RAR levels were associated with increased in-hospital mortality in our patient cohort.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"717-724"},"PeriodicalIF":2.1000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416183/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association between red cell distribution width-to-albumin ratio and In-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study.\",\"authors\":\"Ruoqing Zhou, Dianzhu Pan\",\"doi\":\"10.1080/17520363.2025.2548189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>This study aimed to investigate the association between the Red cell distribution width-to-albumin ratio (RAR) and in-hospital mortality in patients experiencing Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) with concurrent Respiratory Failure (RF).</p><p><strong>Methods: </strong>This retrospective study included 594 patients diagnosed with AECOPD and RF at the first affiliated hospital of Jinzhou Medical University, China, between January 2021 and September 2023. The primary outcome measure was in-hospital mortality rate. The participants were categorized into three groups according to RAR tertiles: T1 (2.535-3.871), <i>N</i> = 198; T2 (3.88-4.547), <i>N</i> = 196; and T3 (4.56-11.031), <i>N</i> = 200. Logistic regression and subgroup analyses were performed to investigate the relationship between RAR and AECOPD and RF prognosis in patients.</p><p><strong>Results: </strong>The average age of the participants was 72.1 ± 9.7 years, with 52.2% men (<i>n</i> = 310). The mean RAR was 4.3 ± 1.0%/g/dL. After adjusting for covariates, the odds ratio for in-hospital mortality per unit increase in RAR was 1.74 [95% Confidence Interval: 1.19-2.55], <i>p</i> = 0.004. A linear relationship was observed between RAR and in-hospital mortality among patients with AECOPD and RF.</p><p><strong>Conclusion: </strong>RAR is an independent risk factor for in-hospital mortality in patients with AECOPD complicated by RF. 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引用次数: 0
摘要
目的:本研究旨在探讨慢性阻塞性肺疾病急性加重期(AECOPD)并发呼吸衰竭(RF)患者的红细胞分布宽度与白蛋白比(RAR)与住院死亡率之间的关系。方法:本回顾性研究纳入2021年1月至2023年9月在中国锦州医科大学第一附属医院诊断为AECOPD和RF的594例患者。主要结局指标为住院死亡率。根据RAR值将参与者分为3组:T1 (2.535 ~ 3.871), N = 198;T2 (3.88-4.547), n = 196;T3 (4.56 ~ 11.031), N = 200。采用Logistic回归和亚组分析探讨RAR和AECOPD与患者RF预后的关系。结果:参与者的平均年龄为72.1±9.7岁,男性占52.2% (n = 310)。平均RAR为4.3±1.0%/g/dL。调整协变量后,RAR每单位增加的住院死亡率的优势比为1.74[95%置信区间:1.19-2.55],p = 0.004。在AECOPD和RF患者中,RAR与住院死亡率之间存在线性关系。结论:RAR是AECOPD合并RF患者院内死亡的独立危险因素。在我们的患者队列中,RAR水平升高与住院死亡率增加相关。
Association between red cell distribution width-to-albumin ratio and In-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study.
Aims: This study aimed to investigate the association between the Red cell distribution width-to-albumin ratio (RAR) and in-hospital mortality in patients experiencing Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) with concurrent Respiratory Failure (RF).
Methods: This retrospective study included 594 patients diagnosed with AECOPD and RF at the first affiliated hospital of Jinzhou Medical University, China, between January 2021 and September 2023. The primary outcome measure was in-hospital mortality rate. The participants were categorized into three groups according to RAR tertiles: T1 (2.535-3.871), N = 198; T2 (3.88-4.547), N = 196; and T3 (4.56-11.031), N = 200. Logistic regression and subgroup analyses were performed to investigate the relationship between RAR and AECOPD and RF prognosis in patients.
Results: The average age of the participants was 72.1 ± 9.7 years, with 52.2% men (n = 310). The mean RAR was 4.3 ± 1.0%/g/dL. After adjusting for covariates, the odds ratio for in-hospital mortality per unit increase in RAR was 1.74 [95% Confidence Interval: 1.19-2.55], p = 0.004. A linear relationship was observed between RAR and in-hospital mortality among patients with AECOPD and RF.
Conclusion: RAR is an independent risk factor for in-hospital mortality in patients with AECOPD complicated by RF. Elevated RAR levels were associated with increased in-hospital mortality in our patient cohort.
期刊介绍:
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.