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Red blood cell distribution width is associated with mortality risk in patients with acute respiratory distress syndrome based on the Berlin definition: A propensity score matched cohort study
Heart & Lung ( IF 2.8 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.hrtlng.2020.04.008
Xue-Shu Yu 1 , Zhi-Qiang Chen 1 , Yu-Feng Hu 1 , Jia-Xiu Chen 1 , Wen-Wei Xu 1 , Jie Shu 1 , Jing-Ye Pan 2
Affiliation  

BACKGROUND Acute respiratory distress syndrome (ARDS) is a severe inflammatory disorder of the lungs and is associated with oxidative damage. However, red blood cell distribution width (RDW), as an indicator of body response to inflammation and oxidative stress, has not been studied for its relationship with ARDS as diagnosed by the Berlin definition. OBJECTIVES To examine the value of RDW in predicting the prognosis of in patients with ARDS. METHODS This is a retrospective study based on the Medical Information Mart for Intensive Care III (MIMIC-III) database. Berlin-defined ARDS patients using mechanical ventilation for more than 48 hours were selected using structured query language. The primary statistical methods were propensity score matching and sensitivity analysis, including an inverse probability weighting model to ensure the robustness of our findings. RESULTS A total of 529 intensive care unit (ICU) patients with ARDS according to the Berlin definition were enrolled in the study. The adjusted OR showed an adverse effect between the higher RDW group and 30-day mortality [OR 2.33, 95% CI (1.15-4.75), P=0.019]. However, we found that length of ICU stay was not related to RDW (P=0.167), and in the anaemia group, RDW was poorly predictive of 30-day mortality (P=0.307). CONCLUSION In unselected ARDS patients, higher RDW was associated with higher 30-day mortality rate. Further investigation is required to validate this relationship with prospectively collected data.

中文翻译:

基于柏林定义的急性呼吸窘迫综合征患者的红细胞分布宽度与死亡风险相关:倾向评分匹配队列研究

背景急性呼吸窘迫综合征(ARDS)是一种严重的肺部炎症,与氧化损伤有关。然而,作为身体对炎症和氧化应激反应的指标,尚未研究红细胞分布宽度 (RDW) 与柏林定义所诊断的 ARDS 的关系。目的探讨RDW在预测ARDS患者预后中的价值。方法 这是一项基于重症监护医疗信息市场 III (MIMIC-III) 数据库的回顾性研究。使用结构化查询语言选择柏林定义的使用机械通气超过 48 小时的 ARDS 患者。主要的统计方法是倾向评分匹配和敏感性分析,包括一个逆概率加权模型,以确保我们发现的稳健性。结果 根据柏林定义,共有 529 名患有 ARDS 的重症监护病房 (ICU) 患者参加了该研究。调整后的 OR 显示较高 RDW 组与 30 天死亡率之间的不利影响 [OR 2.33, 95% CI (1.15-4.75), P=0.019]。然而,我们发现ICU住院时间与RDW无关(P=0.167),并且在贫血组中,RDW对30天死亡率的预测较差(P=0.307)。结论 在未经选择的 ARDS 患者中,较高的 RDW 与较高的 30 天死亡率相关。需要进一步调查来验证这种与前瞻性收集数据的关系。调整后的 OR 显示较高 RDW 组与 30 天死亡率之间的不利影响 [OR 2.33, 95% CI (1.15-4.75), P=0.019]。然而,我们发现ICU住院时间与RDW无关(P=0.167),并且在贫血组中,RDW对30天死亡率的预测较差(P=0.307)。结论 在未经选择的 ARDS 患者中,较高的 RDW 与较高的 30 天死亡率相关。需要进一步调查来验证这种与前瞻性收集数据的关系。调整后的 OR 显示较高 RDW 组与 30 天死亡率之间的不利影响 [OR 2.33, 95% CI (1.15-4.75), P=0.019]。然而,我们发现ICU住院时间与RDW无关(P=0.167),并且在贫血组中,RDW对30天死亡率的预测较差(P=0.307)。结论 在未经选择的 ARDS 患者中,较高的 RDW 与较高的 30 天死亡率相关。需要进一步调查来验证这种与前瞻性收集数据的关系。较高的 RDW 与较高的 30 天死亡率相关。需要进一步调查来验证这种与前瞻性收集数据的关系。较高的 RDW 与较高的 30 天死亡率相关。需要进一步调查来验证这种与前瞻性收集数据的关系。
更新日期:2020-09-01
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