Department of Anorectal, Yiwu Central Hospital, Yiwu, China.
Department of Vascular Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
J Clin Lab Anal. 2022 May;36(5):e24423. doi: 10.1002/jcla.24423. Epub 2022 Apr 8.
Cancer causes a serious health burden on patients worldwide. Chronic low-level inflammation plays a key role in tumorigenesis and prognosis. However, the role of the red blood cell distribution width (RDW)-to-albumin (RA) ratio in cancer mortality remains unclear.
In this retrospective cohort study, we collected clinical information from cancer patients from the Medical Information Mart for Intensive Care III (MIMIC-III) version 1.4 database and then calculated RA by dividing RDW by albumin concentration. The primary outcome was 30 days mortality, while secondary outcomes were 90 days and 1 year mortality. Next, we adopted Cox regression models to calculate hazard ratios (HR) together with 95% confidence intervals (CI) for all-cause mortalities associated with the RA ratio.
For 30 days mortality, the HR (95% CI) for the high RA ratio (≥5.51) was 2.17 [95CI% (1.87-2.51); p = <0.0001], compared with the low RA ratio (<5.51). In Model 2, we adjusted sex and age and obtained HR (95% CI) of 2.17 [95CI% (1.87-2.52); p = <0.0001] for the high RA ratio (≥5.51) group, compared to that in the low RA ratio (<5.51). In Model 3, adjusting for age, sex, anion gap, hematocrit, white blood cell count, congestive heart failure, SOFA, liver disease, and renal failure resulted in HR (95% CI) of 1.74 [95CI% (1.48-2.04); p = <0.0001] for the high RA ratio (≥5.51) relative to the low RA ratio (<5.51). We also analyzed common diseases in cancer patients but found no significant association.
To the best of our knowledge, this is the first study demonstrating that increased RA ratio is independently associated with increased all-cause mortality in cancer patients.
癌症在全球范围内给患者带来了严重的健康负担。慢性低水平炎症在肿瘤发生和预后中起着关键作用。然而,红细胞分布宽度(RDW)与白蛋白(RA)比值在癌症死亡率中的作用尚不清楚。
在这项回顾性队列研究中,我们从医疗信息互操作联网分析联盟 III(MIMIC-III)版本 1.4 数据库中收集癌症患者的临床信息,然后通过将 RDW 除以白蛋白浓度来计算 RA。主要结局是 30 天死亡率,次要结局是 90 天和 1 年死亡率。接下来,我们采用 Cox 回归模型计算 RA 比值与所有原因死亡率相关的风险比(HR)及其 95%置信区间(CI)。
对于 30 天死亡率,高 RA 比值(≥5.51)的 HR(95%CI)为 2.17 [95CI%(1.87-2.51);p<0.0001],与低 RA 比值(<5.51)相比。在模型 2 中,我们调整了性别和年龄,得到高 RA 比值(≥5.51)组的 HR(95%CI)为 2.17 [95CI%(1.87-2.52);p<0.0001],与低 RA 比值(<5.51)相比。在模型 3 中,调整年龄、性别、阴离子间隙、红细胞压积、白细胞计数、充血性心力衰竭、SOFA、肝病和肾衰竭后,高 RA 比值(≥5.51)的 HR(95%CI)为 1.74 [95CI%(1.48-2.04);p<0.0001],与低 RA 比值(<5.51)相比。我们还分析了癌症患者的常见疾病,但没有发现显著关联。
据我们所知,这是第一项表明 RA 比值升高与癌症患者全因死亡率增加独立相关的研究。