Long Jianyun, Xie Xupin, Xu Dong, Huang Changpin, Liu Yongchang, Meng Xiaohu, Cai Xuchao, Fang Xin
Department of Vascular Surgery, Affiliated Hangzhou First People's Hospital, ZheJiang University School of Medicine, Hangzhou, Zhejiang, 310014, People's Republic of China.
Int J Gen Med. 2021 Oct 1;14:6287-6294. doi: 10.2147/IJGM.S328035. eCollection 2021.
Red blood cell distribution width (RDW) is a predictor of adverse outcomes in aortic aneurysms. Recent recommendations suggest that combining RDW with other biomarkers could yield better results. We, therefore, propose evaluating the biomarker of vascular aging, albumin with RDW to predict the risk of aortic aneurysms. This study aims to explore whether the combination of RDW with albumin can effectively predict the prognosis of aortic aneurysm patients.
This retrospective cohort study was conducted among adults (age >18) with aortic aneurysms in the Medical Information Mart for Intensive Care Database III V1.4 (MIMIC-III). RAR was measured according to the red blood cell distribution width and albumin. The primary outcome was the 30-day mortality rate, and the secondary outcome was the 90-day and one-year mortality rates. Estimation of hazard ratios (HR) was obtained from Cox regression models for all-cause mortality related to red cell distribution width-to-albumin ratio (RAR) values.
In total, 312 patients were involved, with an average age of 74.9 ± 10.9 years and an average RAR value of 5.4 ± 1.6 mL/g. In 30 days for all-cause mortality, the HR (95% CI) in the highest RAR group (>5.8 mL/g) in tertiles was 2.54 (1.25, 5.14) in the unadjusted model, with a significant difference compared with the reference group (P < 0.05). After adjusting for race, gender and age, there was still a correlation (P < 0.05), and the HR (95% CI) was 2.51 (1.23, 5.10). Further adjustment of possible covariates showed similar correlation in model 3 (P < 0.05), and HR (95% CI) was 2.66 (1.17, 6.01). Multivariable logistic regression shows that RAR is an independent risk factor for the outcome of aortic aneurysms after adjusting the covariates. In the subgroup analysis, we analyzed the patient's complications, and no significant interaction was observed.
RAR is a risk factor for patients with aortic aneurysms. However, more in-depth research is warranted to further analyze and substantiate our findings on the role of RAR in aortic aneurysm patients.
红细胞分布宽度(RDW)是主动脉瘤不良预后的一个预测指标。近期建议表明,将RDW与其他生物标志物相结合可能会产生更好的结果。因此,我们提议评估血管老化的生物标志物白蛋白与RDW,以预测主动脉瘤风险。本研究旨在探讨RDW与白蛋白的组合能否有效预测主动脉瘤患者的预后。
本回顾性队列研究在重症监护医学信息数据库III V1.4(MIMIC-III)中患有主动脉瘤的成年人(年龄>18岁)中进行。根据红细胞分布宽度和白蛋白测量红细胞分布宽度与白蛋白比值(RAR)。主要结局是30天死亡率,次要结局是90天和1年死亡率。通过Cox回归模型获得与红细胞分布宽度与白蛋白比值(RAR)值相关的全因死亡率的风险比(HR)估计值。
总共纳入312例患者,平均年龄为74.9±10.9岁,平均RAR值为5.4±1.6 mL/g。在30天全因死亡率方面,三分位数中最高RAR组(>5.8 mL/g)在未调整模型中的HR(95%CI)为2.54(1.25,5.14),与参照组相比有显著差异(P<0.05)。在调整种族、性别和年龄后,仍存在相关性(P<0.05),HR(95%CI)为2.51(1.23,5.10)。进一步调整可能的协变量后,模型3显示出相似的相关性(P<0.05),HR(95%CI)为2.66(1.17,6.01)。多变量逻辑回归显示,在调整协变量后,RAR是主动脉瘤结局的独立危险因素。在亚组分析中,我们分析了患者的并发症,未观察到显著的交互作用。
RAR是主动脉瘤患者的一个危险因素。然而,需要进行更深入的研究,以进一步分析和证实我们关于RAR在主动脉瘤患者中的作用的发现。