Research on the Use of AISI for Predicting the Risk of Mortality in Patients with ARDS

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  • 1.Beijing Tongren Hospital Capital Medical University Beijing 100730, China
    2.Beijing Shijitan Hospital Capital Medical University Beijing 100383, China
    3.Beijing Youan Hospital Capital Medical University Beijing 100069, China

Received date: 2026-03-05

  Revised date: 2026-03-26

  Accepted date: 2026-04-20

  Online published: 2026-06-29

Abstract

Objective: To investigate the relationship between the aggregate index of systemic inflammation AISI and short-term and long-term mortality in ICU patients with acute respiratory distress syndrome ARDS.Methods: A retrospective cohort study was conducted on 1534 ARDS patients based on data from the MIMIC-IV 3.0 database.The analysis included multivariable Cox proportional hazards regression to assess the impact of AISI scores on all-cause mortality with restricted cubic splines RCS used for exploring potential non-linear relationships. Optimal AISI cutoff values were determined using X-title software dividing the cohort into two groups. Kaplan-Meier survival curves were compared across these groups supplemented by subgroup analyses to validate findings.Results: Among 1534 ARDS patients the 30-day mortality rate and 1-year mortality rate of patients in the high AISI group after ICU admission were both higher than those in the low AISI group. RCS curve fitting indicated a significant non-linear correlation between AISI and both 30 d P=0.021 and 1 year mortality P<0.001. Cox regression after full adjustment showed that AISI≥1528 was significantly associated with higher risks of mortality at 30 d HR=1.248 95% CI 1.017-1.532 and 1 year HR=1.333 95% CI 1.120-1.587 compared to AISI<1528. Subgroup analyses highlighted significant relevance between AISI and mortality in ARDS patients with diabetes and those treated with furosemide P<0.05.Conclusion: AISI is a significant predictor of both 30 d mortality and 1 year mortality in ARDS patients in ICU. It may serve as an effective tool for identifying high-risk patients early and guiding personalized treatment strategies.

  

Cite this article

ZHANG Haibo, PENG Weibin, LI Jiebin, WANG Dawei, CHEN Yu, ZHANG Jing .

Research on the Use of AISI for Predicting the Risk of Mortality in Patients with ARDS

[J]. CHINESE JOURNAL OF MEDICINAL GUIDE, 2026 , 28(5) : 578 -578-586 . DOI: 10.1009-0959.2026.050012

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