Lou Jiaqi, Kong Hong, Xiang Ziyi, Zhu Xiaoyu, Cui Shengyong, Li Jiliang, Jin Guoying, Huang Neng, Le Xin, Fan Youfen, Xu Sida
Burn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Ningbo College of Health Science, Ningbo, Zhejiang, China.
Front Cell Infect Microbiol. 2025 Jul 22;15:1603104. doi: 10.3389/fcimb.2025.1603104. eCollection 2025.
The ICU faces persistent challenges with sepsis, marked by systemic inflammation and metabolic disruptions, often leading to poor outcomes. Despite advances, reliable biomarkers for predicting sepsis outcomes are needed. This study introduces a novel indicator combining neutrophil count and prognostic nutritional index (PNI) to improve predictive accuracy by addressing both inflammatory and nutritional-immune aspects.
We conducted a retrospective cohort study analyzing data from the MIMIC-IV database, focusing on adults diagnosed with sepsis per Sepsis 3.0 criteria. We excluded those younger than 18, with ICU stays under 48 hours, multiple ICU admissions, or incomplete data. Participants' neutrophil counts/PNI ratios were calculated and correlated with 30, 60, and 90-day hospital and ICU mortality, utilising Kaplan-Meier survival analysis, Cox proportional hazards models, restricted cubic spline (RCS) models and subgroup analysis.
We included 2,116 patients from 22,517 eligible cases. Survival analysis demonstrated lower survival probabilities for higher neutrophil counts/PNI ratios across all observed time windows. Cox regression models revealed a significant association between higher neutrophil counts/PNI ratios and increased short- to medium-term mortality. The restricted cubic spline regression models illustrated a J-shaped relationship between neutrophil counts/PNI and mortality.
The neutrophil counts/PNI ratio is a promising prognostic biomarker for sepsis-related outcomes in ICU settings, offering improved risk stratification and potentially guiding therapeutic interventions. Further research is warranted to validate these findings across diverse populations.
重症监护病房(ICU)在应对脓毒症方面面临持续挑战,脓毒症的特征是全身炎症和代谢紊乱,常常导致不良后果。尽管取得了进展,但仍需要可靠的生物标志物来预测脓毒症的预后。本研究引入了一种结合中性粒细胞计数和预后营养指数(PNI)的新型指标,通过兼顾炎症和营养免疫方面来提高预测准确性。
我们进行了一项回顾性队列研究,分析来自多中心重症医学信息库第四版(MIMIC-IV)数据库的数据,重点关注根据脓毒症3.0标准诊断为脓毒症的成年人。我们排除了年龄小于18岁、ICU住院时间少于48小时、多次入住ICU或数据不完整的患者。计算参与者的中性粒细胞计数/PNI比值,并将其与30天、60天和90天的医院及ICU死亡率进行关联分析,采用Kaplan-Meier生存分析、Cox比例风险模型、限制性立方样条(RCS)模型和亚组分析。
我们从22517例符合条件的病例中纳入了2116例患者。生存分析表明,在所有观察到的时间窗口内,中性粒细胞计数/PNI比值越高,生存概率越低。Cox回归模型显示,较高的中性粒细胞计数/PNI比值与中短期死亡率增加之间存在显著关联。限制性立方样条回归模型表明中性粒细胞计数/PNI与死亡率之间呈J形关系。
中性粒细胞计数/PNI比值是ICU环境中脓毒症相关预后的一个有前景的预后生物标志物,可改善风险分层并可能指导治疗干预。有必要进行进一步研究以在不同人群中验证这些发现。