MD, MSc. Physician, Department of Intensive Care Unit, Daping Hospital, Army Medical University, Chongqing, China.
MD, PhD. Assistant Professor, Department of Intensive Care Unit, Daping Hospital, Army Medical University, Chongqing, China.
Sao Paulo Med J. 2023 Jan 6;141(5):e2022190. doi: 10.1590/1516-3180.2022.0190.R1.17102022. eCollection 2023.
Red blood cell distribution width (RDW) is related to sepsis-related mortality. Hemophagocytic lymphohistiocytosis (HLH) is a syndrome caused by severe infection, tumors, or autoimmunity without a specific diagnosis.
To explore the correlation between RDW and mortality in patients with HLH.
A retrospective study conducted in a hospital in China.
A total of 101 inpatients with HLH from January 1, 2017 to December 31, 2021 were divided into non-survivor (n = 52) and survivor (n = 49) groups. A non-parametric test was used to analyze demographic, clinical, and laboratory data between groups. Independent variables with P < 0.05 were analyzed using binary logistic regression to screen out mortality-related variables. Selected variables were subjected to multivariate logistic regression analysis, and those with strong correlations were screened. Receiver operating characteristic (ROC) curves of strongly correlated variables and area under curve (AUC) values were obtained.
The APACHE II score, RDW, and platelet (PLT) and fibrinogen (FIB) levels (P < 0.05) different significantly. RDW, PLT, FIB were correlated with mortality. The AUC values of RDW, PLT, and FIB were 0.857, 0.797, and 0.726, respectively. RDW was associated with mortality in patients with HLH (P < 0.01, cut-off value: 16.9). The sensitivity and specificity of predicting mortality were 97.96% and 96.1%, respectively.
Logistic regression analysis showed a correlation between RDW and patients' mortality. Therefore, RDW can be used to predict mortality in patients with HLH.
红细胞分布宽度(RDW)与脓毒症相关死亡率相关。噬血细胞性淋巴组织细胞增生症(HLH)是一种由严重感染、肿瘤或自身免疫引起的综合征,没有明确的诊断。
探讨 RDW 与 HLH 患者死亡率的相关性。
这是一项在中国医院进行的回顾性研究。
共纳入 2017 年 1 月 1 日至 2021 年 12 月 31 日期间的 101 例 HLH 住院患者,分为死亡组(n=52)和存活组(n=49)。采用非参数检验比较两组间的人口统计学、临床和实验室数据。采用二元逻辑回归分析筛选 P<0.05 的自变量。对有统计学意义的变量进行多因素逻辑回归分析,筛选出与死亡率相关的变量。对有显著相关性的变量绘制受试者工作特征(ROC)曲线,并计算曲线下面积(AUC)。
APACHE II 评分、RDW、血小板(PLT)和纤维蛋白原(FIB)水平(P<0.05)差异有统计学意义。RDW、PLT、FIB 与死亡率相关。RDW、PLT、FIB 的 AUC 值分别为 0.857、0.797 和 0.726。RDW 与 HLH 患者的死亡率相关(P<0.01,截断值:16.9)。预测死亡率的敏感性和特异性分别为 97.96%和 96.1%。
逻辑回归分析显示 RDW 与患者死亡率相关。因此,RDW 可用于预测 HLH 患者的死亡率。