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全身免疫炎症复合指数作为脓毒症预后的新型预测指标:一项使用MIMIC-IV的回顾性队列研究

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

作者信息

Wang Xueqing, Lin Yingxin, Zhang Sheng, Wang Junshi, Huang Bin, Luo Hua, Huang Lei

机构信息

Department of Intensive Care Unit (ICU), Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.

出版信息

Front Med (Lausanne). 2025 Jun 30;12:1608619. doi: 10.3389/fmed.2025.1608619. eCollection 2025.

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) × 10/(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 -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.

摘要

目的

脓毒症是一种危及生命的疾病,死亡率和发病率都很高,因此早期检测至关重要。目前的诊断依赖于序贯[脓毒症相关]器官衰竭评估评分,该评分确定起来复杂且耗时。在此,我们提出了一种新的指标,即全身免疫炎症复合指数(SIICI),定义为(中性粒细胞×单核细胞计数)×10/(血小板×淋巴细胞计数),用于预测疾病严重程度,并验证了其预后价值。

方法

所有数据均从重症监护医学信息数据库IV(MIMIC-IV)中提取。采用Cox比例风险模型和Kaplan-Meier生存分析来确定目标指标与30天和90天死亡率之间的关联。使用受限立方样条来揭示指标与死亡率之间的线性关系。为了评估SIICI、全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)的预后价值,测量并比较了受试者工作特征曲线下面积(AUC)和约登指数。采用倾向评分匹配来揭示SIICI与次要结局之间的关联。最后,进行亚组分析以确认SIICI的预测能力。

结果

我们纳入了3944例患者;其中,分别有609例(15.4%)和663例(16.8%)患者在30天和90天死亡。我们的研究结果表明,在所有模型中,SIICI与30天和90天死亡率之间均存在密切关联,且比SIRI和SII更为显著和分层良好。所有情况下P值均<0.0

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e2c/12258050/9dfe471f2878/fmed-12-1608619-g001.jpg

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