Suppr超能文献

红细胞分布宽度与白蛋白比值与死亡率风险。

Ratio of Red Blood Cell Distribution Width to Albumin Level and Risk of Mortality.

机构信息

Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesion Regulation and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.

Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Nansha District, Guangzhou, China.

出版信息

JAMA Netw Open. 2024 May 1;7(5):e2413213. doi: 10.1001/jamanetworkopen.2024.13213.

Abstract

IMPORTANCE

The ratio of red blood cell distribution width (RDW) to albumin concentration (RAR) has emerged as a reliable prognostic marker for mortality in patients with various diseases. However, whether RAR is associated with mortality in the general population remains unknown.

OBJECTIVES

To explore whether RAR is associated with all-cause and cause-specific mortality and to elucidate their dose-response association.

DESIGN, SETTING, AND PARTICIPANTS: This population-based prospective cohort study used data from participants in the 1998-2018 US National Health and Nutrition Examination Survey (NHANES) and from the UK Biobank with baseline information provided from 2006 to 2010. Included participants had complete data on serum albumin concentration, RDW, and cause of death. The NHANES data were linked to the National Death Index records through December 31, 2019. For the UK Biobank, dates and causes of death were obtained from the National Health Service Information Centre (England and Wales) and the National Health Service Central Register Scotland (Scotland) to November 30, 2022.

MAIN OUTCOMES AND MEASURES

Potential associations between RAR and the risk of all-cause and cause-specific mortality were evaluated using Cox proportional hazards regression models. Restricted cubic spline regressions were applied to estimate possible nonlinear associations.

RESULTS

In NHANES, 50 622 participants 18 years of age or older years were included (mean [SD] age, 48.6 [18.7] years; 26 136 [51.6%] female), and their mean (SD) RAR was 3.15 (0.51). In the UK Biobank, 418 950 participants 37 years of age or older (mean [SD], 56.6 [8.1] years; 225 038 [53.7%] female) were included, and their mean RAR (SD) was 2.99 (0.31). The NHANES documented 7590 deaths over a median (IQR) follow-up of 9.4 (5.1-14.2) years, and the UK Biobank documented 36 793 deaths over a median (IQR) follow-up of 13.8 (13.0-14.5) years. According to the multivariate analysis, elevated RAR was significantly associated with greater risk of all-cause mortality (NHANES: hazard ratio [HR], 1.83 [95% CI, 1.76-1.90]; UK Biobank: HR, 2.08 [95% CI, 2.03-2.13]), as well as mortality due to malignant neoplasm (NHANES: HR, 1.89 [95% CI, 1.73-2.07]; UK Biobank: HR, 1.93 [95% CI, 1.86-2.00]), heart disease (NHANES: HR, 1.88 [95% CI, 1.74-2.03]; UK Biobank: HR, 2.42 [95% CI, 2.29-2.57]), cerebrovascular disease (NHANES: HR, 1.35 [95% CI, 1.07-1.69]; UK Biobank: HR, 2.15 [95% CI, 1.91-2.42]), respiratory disease (NHANES: HR, 1.99 [95% CI, 1.68-2.35]; UK Biobank: HR, 2.96 [95% CI, 2.78-3.15]), diabetes (NHANES: HR, 1.55 [95% CI, 1.27-1.90]; UK Biobank: HR, 2.83 [95% CI, 2.35-3.40]), and other causes of mortality (NHANES: HR, 1.97 [95% CI, 1.86-2.08]; UK Biobank: HR, 2.40 [95% CI, 2.30-2.50]) in both cohorts. Additionally, a nonlinear association was observed between RAR levels and all-cause mortality in both cohorts.

CONCLUSIONS AND RELEVANCE

In this cohort study, a higher baseline RAR was associated with an increased risk of all-cause and cause-specific mortality in the general population. These findings suggest that RAR may be a simple, reliable, and inexpensive indicator for identifying individuals at high risk of mortality in clinical practice.

摘要

重要性

红细胞分布宽度(RDW)与白蛋白浓度(RAR)的比值已成为各种疾病患者死亡率的可靠预后标志物。然而,RAR 与普通人群的死亡率是否相关尚不清楚。

目的

探讨 RAR 是否与全因和特定原因死亡率相关,并阐明其剂量-反应关联。

设计、设置和参与者:本基于人群的前瞻性队列研究使用了来自美国 1998 年至 2018 年全国健康和营养检查调查(NHANES)的参与者数据以及来自英国生物银行(UK Biobank)的基线信息,这些信息来自 2006 年至 2010 年。纳入的参与者有完整的血清白蛋白浓度、RDW 和死因数据。NHANES 数据通过 2019 年 12 月 31 日与国家死亡指数记录相关联。对于 UK Biobank,日期和死因从国家卫生服务信息中心(英格兰和威尔士)和苏格兰国家卫生服务中央登记处(苏格兰)获得,截止日期为 2022 年 11 月 30 日。

主要结果和措施

使用 Cox 比例风险回归模型评估 RAR 与全因和特定原因死亡率风险之间的潜在关联。应用限制立方样条回归来估计可能的非线性关联。

结果

在 NHANES 中,纳入了 50622 名 18 岁或以上的参与者(平均[标准差]年龄为 48.6[18.7]岁;26136[51.6%]为女性),他们的平均 RAR(标准差)为 3.15(0.51)。在 UK Biobank 中,纳入了 37 岁或以上的 418950 名参与者(平均[标准差]年龄为 56.6[8.1]岁;225038[53.7%]为女性),他们的平均 RAR(标准差)为 2.99(0.31)。NHANES 在中位(IQR)随访 9.4(5.1-14.2)年期间记录了 7590 例死亡,UK Biobank 在中位(IQR)随访 13.8(13.0-14.5)年期间记录了 36793 例死亡。根据多变量分析,升高的 RAR 与全因死亡率风险增加显著相关(NHANES:风险比[HR],1.83[95%置信区间,1.76-1.90];UK Biobank:HR,2.08[95%置信区间,2.03-2.13]),以及恶性肿瘤(NHANES:HR,1.89[95%置信区间,1.73-2.07];UK Biobank:HR,1.93[95%置信区间,1.86-2.00])、心脏病(NHANES:HR,1.88[95%置信区间,1.74-2.03];UK Biobank:HR,2.42[95%置信区间,2.29-2.57])、脑血管病(NHANES:HR,1.35[95%置信区间,1.07-1.69];UK Biobank:HR,2.15[95%置信区间,1.91-2.42])、呼吸疾病(NHANES:HR,1.99[95%置信区间,1.68-2.35];UK Biobank:HR,2.96[95%置信区间,2.78-3.15])、糖尿病(NHANES:HR,1.55[95%置信区间,1.27-1.90];UK Biobank:HR,2.83[95%置信区间,2.35-3.40])和其他原因(NHANES:HR,1.97[95%置信区间,1.86-2.08];UK Biobank:HR,2.40[95%置信区间,2.30-2.50])的死亡率也显著相关。此外,在两个队列中均观察到 RAR 水平与全因死亡率之间存在非线性关联。

结论和相关性

在这项队列研究中,较高的基线 RAR 与普通人群全因和特定原因死亡率的增加风险相关。这些发现表明,RAR 可能是一种简单、可靠和廉价的指标,可用于识别临床实践中高死亡率风险的个体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85eb/11134218/4ba175195a84/jamanetwopen-e2413213-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验