Systemic immune-inflammatory complex index as a novel predictor of sepsis prognosis: a retrospective cohort study using MIMIC-IV.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-06-30 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1608619
Xueqing Wang, Yingxin Lin, Sheng Zhang, Junshi Wang, Bin Huang, Hua Luo, Lei Huang
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引用次数: 0

Abstract

Purpose: Sepsis is a life-threatening condition with high mortality and morbidity, making its early detection is critical. Current diagnosis relies on the Sequential [sepsis-related] Organ Failure Assessment score, which is complex and time-consuming to determine. Herein, we proposed a novel index, the systemic immune-inflammatory complex index (SIICI), defined as (neutrophil × monocyte count) × 103/(platelet × lymphocyte count), to predict illness severity, and we verified its prognostic value.

Methods: All data were extracted from the Medical Information Mart for Intensive Care database IV (MIMIC-IV). Cox proportional hazards and Kaplan-Meier survival analyses were used to determine the association between target indices and 30- and 90-days mortality. Restricted cubic splines were used to reveal the linear relationship between indices and mortality. To assess the prognostic value of the SIICI, the systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), the area under the receiver operating characteristic curve (AUC), and the Youden index were measured and compared. Propensity score matching was used to reveal the association between the SIICI and secondary outcomes. Finally, subgroup analysis was performed to confirm the predictive ability of the SIICI.

Results: We included 3,944 patients; among these, 609 (15.4%) and 663 (16.8%) patients had 30- and 90-days mortality, respectively. Our findings showed a strong association between the SIICI and mortality at 30 and 90 days in all models, which was more pronounced and better stratified than for the SIRI and SII. The p-value was < 0.05 in all cases; however, the SIICI was closer to a linear relationship with mortality than the SIRI or SII. Additionally, the SIICI had a higher AUC and Youden value than the other two indices. Moreover, a higher SIICI was positively associated with a longer stay in the intensive care unit or the hospital, an increased incidence of acute kidney injury, and greater use of renal replacement therapy and mechanical ventilation.

Conclusion: The SIICI was positively associated with sepsis mortality and showed a better prognostic value than the SIRI and SII. The SIICI may be a promising complementary index to classical scoring systems for early assessment of patients with sepsis.

全身免疫-炎症复合物指数作为脓毒症预后的新预测因子:一项使用MIMIC-IV的回顾性队列研究
目的:脓毒症是一种危及生命的疾病,死亡率和发病率高,早期发现至关重要。目前的诊断依赖于顺序[败血症相关]器官衰竭评估评分,这是复杂和耗时的确定。在此,我们提出了一个新的指标,系统性免疫-炎症复合物指数(SIICI),定义为(中性粒细胞×单核细胞计数)× 103/(血小板×淋巴细胞计数),以预测疾病严重程度,我们验证了它的预后价值。方法:所有数据均从重症监护医学信息集市数据库IV (MIMIC-IV)中提取。采用Cox比例风险和Kaplan-Meier生存分析来确定目标指标与30天和90天死亡率之间的关系。用限制三次样条揭示了指标与死亡率之间的线性关系。为了评估SIICI的预后价值,测量并比较全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)、受者工作特征曲线下面积(AUC)和约登指数(Youden index)。倾向评分匹配用于揭示SIICI与次要结局之间的关联。最后,进行亚组分析以证实SIICI的预测能力。结果:我们纳入了3944例患者;其中609例(15.4%)和663例(16.8%)患者的死亡率分别为30天和90天。我们的研究结果显示,在所有模型中,SIICI与30天和90天的死亡率之间存在很强的关联,这种关联比SIRI和SII更明显,分层更好。所有病例的p值均< 0.05;然而,SIICI与死亡率的线性关系比SIRI和SII更接近。此外,SIICI的AUC和Youden值高于其他两个指数。此外,较高的SIICI与重症监护病房或医院的住院时间更长、急性肾损伤的发生率增加、肾脏替代治疗和机械通气的更多使用呈正相关。结论:SIICI与脓毒症死亡率呈正相关,与SIRI和SII相比具有更好的预后价值。SIICI可能是一个有希望的补充指标,以早期评估败血症患者的经典评分系统。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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