Assessing the Prognostic Accuracy of Red Cell Distribution Width for Predicting Mortality in Sepsis Patients: A Comparative Study With Serum Lactate and the Quick Sequential Organ Failure Assessment (qSOFA) Score

评估红细胞分布宽度预测脓毒症患者死亡率的预后准确性:与血清乳酸和快速序贯器官衰竭评估(qSOFA)评分的比较研究

阅读:1

Abstract

BACKGROUND: Sepsis is a clinical condition characterized by high morbidity and mortality. Several prognostic markers have been evaluated to identify patients with severe sepsis. The red cell distribution width (RDW) is a cost-effective and widely accessible laboratory test to predict mortality across various medical conditions. This research aimed to evaluate the role of RDW as a predictor of mortality in sepsis patients and compare its predictive value with that of serum lactate levels and the qSOFA (quick Sequential Organ Failure Assessment) score. METHODS: This prospective observational study enrolled sepsis patients admitted to the Medicine Department at the Indira Gandhi Institute of Medical Sciences between March and August 2024. The study evaluated the discriminatory ability of RDW, serum lactate levels, and qSOFA score for predicting mortality by calculating the ROC-AUC (receiver operating characteristic area under the curve). RESULTS: Out of 100 eligible patients, 97 had been incorporated into the final analysis. The mean RDW was significantly elevated among the non-survivors, and it had been recognized as an independent predictor of 30-day mortality (OR=2.91, (1.56; 5.42), p < 0.001). For predicting 30-day mortality, the AUC values were as follows: RDW at 0.878 (p < 0.001), lactate at 0.719 (p < 0.001), and qSOFA score at 0.837 (p < 0.001). The cutoff value for RDW was established at 14.15%. CONCLUSION: RDW was significantly associated with 30-day mortality in sepsis patients and was found to be an independent prognostic marker for predicting mortality. Its mortality discriminative ability was comparable to that of the qSOFA score but superior to that of lactate.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。