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Abstract：
Sepsis and septic shock are prevalent and life-threatening complications in burn patients. Despite their severity, existing diagnostic methods are limited. This study aims to evaluate the efficacy of Complete Blood Count (CBC) and CBC ratio markers in diagnosing sepsis and septic shock, and in predicting mortality among burn patients. A cohort of 2757 burn patients was examined to ascertain the correlation between various CBC parameters, their ratios, and the incidence of sepsis and related mortality. Key markers analyzed included Red Cell Distribution Width (RDW), Mean Platelet Volume (MPV), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Mean Platelet Volume-to-Platelet Ratio (MPVPR). Our findings indicate that 65.5% of the patients developed sepsis, and 24.3% succumbed to their conditions. The CBC parameters RDW, MPV, NLR, MPVPR, and MPV-to-Lymphocyte Ratio (MPVLR) were significantly associated with sepsis and mortality. These markers showed considerable temporal variation and yielded an Area Under the Curve (AUC) of over 0.65 in an unadjusted Generalized Estimating Equations (GEE) model. This study underscores the potential of RDW, MPV, NLR, MPVPR, and MPVLR as vital prognostic tools for diagnosing sepsis, septic shock, and predicting mortality in burn patients. Although based on a single-center dataset, our results contribute to the enhancement of sepsis management by facilitating earlier, more precise diagnosis and treatment strategies. Further multi-center research is necessary to confirm these findings and broaden their applicability, establishing a solid base for future explorations in this crucial field.
摘要：
脓毒症和脓毒性休克是烧伤患者普遍存在的危及生命的并发症。尽管严重,现有的诊断方法是有限的。本研究旨在评估全血细胞计数（CBC）和CBC比值标记在诊断脓毒症和脓毒性休克中的有效性。并预测烧伤患者的死亡率。对2757例烧伤患者进行了检查，以确定各种CBC参数之间的相关性。他们的比率，以及脓毒症的发病率和相关死亡率。分析的关键标志物包括红细胞分布宽度(RDW)，平均血小板体积（MPV），中性粒细胞与淋巴细胞比率（NLR），血小板与淋巴细胞比率（PLR），和平均血小板体积-血小板比(MPVPR)。我们的研究结果表明，65.5%的患者发生了败血症，24.3%的人屈服于他们的条件。CBC参数RDW,MPV,NLR,MPVPR,MPV与淋巴细胞比值(MPVLR)与脓毒症和死亡率显著相关。这些标记显示出相当大的时间变化,并且在未调整的广义估计方程(GEE)模型中产生超过0.65的曲线下面积(AUC)。这项研究强调了RDW的潜力，MPV,NLR,MPVPR,和MPVLR作为诊断脓毒症的重要预后工具，感染性休克,并预测烧伤患者的死亡率。尽管基于单中心数据集，我们的结果有助于通过促进更早地加强脓毒症管理，更精确的诊断和治疗策略。需要进一步的多中心研究来证实这些发现并扩大其适用性，为这一关键领域的未来探索奠定坚实的基础。
