Diagnostic and Prognostic Value of C1q in Sepsis-Induced Coagulopathy.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-01-01 DOI:10.1177/10760296241257517
Ye Zhang, Li Wang, Xiandong Kuang, Dongling Tang, Pingan Zhang
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Abstract

Early identification of biomarkers that can predict the onset of sepsis-induced coagulopathy (SIC) in septic patients is clinically important. This study endeavors to examine the diagnostic and prognostic utility of serum C1q in the context of SIC. Clinical data from 279 patients diagnosed with sepsis at the Departments of Intensive Care, Respiratory Intensive Care, and Infectious Diseases at the Renmin Hospital of Wuhan University were gathered spanning from January 2022 to January 2024. These patients were categorized into two groups: the SIC group comprising 108 cases and the non-SIC group consisting of 171 cases, based on the presence of SIC. Within the SIC group, patients were further subdivided into a survival group (43 cases) and non-survival group (65 cases). The concentration of serum C1q in the SIC group was significantly lower than that in the non-SIC group. Furthermore, A significant correlation was observed between serum C1q levels and both SIC score and coagulation indices. C1q demonstrated superior diagnostic and prognostic performance for SIC patients, as indicated by a higher area under the curve (AUC). Notably, when combined with CRP, PCT, and SOFA score, C1q displayed the most robust diagnostic efficacy for SIC. Moreover, the combination of C1q with the SOFA score heightened predictive value concerning the 28-day mortality of SIC patients.

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C1q 在败血症引起的凝血病中的诊断和预后价值
及早发现可预测脓毒症患者脓毒症诱发凝血病(SIC)发病的生物标志物具有重要的临床意义。本研究旨在探讨血清 C1q 对 SIC 的诊断和预后作用。研究收集了武汉大学人民医院重症医学科、呼吸重症医学科和感染性疾病科确诊的 279 名脓毒症患者的临床数据,时间跨度为 2022 年 1 月至 2024 年 1 月。根据是否存在 SIC,这些患者被分为两组:SIC 组 108 例和非 SIC 组 171 例。在 SIC 组中,患者又被细分为存活组(43 例)和非存活组(65 例)。SIC 组血清 C1q 浓度明显低于非 SIC 组。此外,血清 C1q 水平与 SIC 评分和凝血指数之间存在明显的相关性。曲线下面积(AUC)越大,表明 C1q 对 SIC 患者的诊断和预后效果越好。值得注意的是,当 C1q 与 CRP、PCT 和 SOFA 评分相结合时,C1q 对 SIC 的诊断效果最为显著。此外,将 C1q 与 SOFA 评分相结合还提高了对 SIC 患者 28 天死亡率的预测价值。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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