Evidence map›Paper›PMID 41190763›Full record

ArticleBalkan medical journal2026

Association Between Hemoglobin Glycation Index and Delirium Risk in Sepsis Patients in the Intensive Care Unit

Miao Shi, Hu Sun, Yong Ma, Cheng Chi

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Article in Balkan medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Miao ShiDepartment of Emergency, Peking University People's Hospital, Beijing, China.ORCID 0009-0002-8442-5016
Hu SunDepartment of Respiratory Intensive Care Unit, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.ORCID 0009-0000-5172-6280
Yong MaDepartment of Emergency, Peking University People's Hospital, Beijing, China.ORCID 0000-0001-5099-921X
Cheng ChiDepartment of Emergency, Peking University People's Hospital, Beijing, China.ORCID 0009-0002-7502-2717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis-associated encephalopathy is a prevalent complication in the sepsis population, especially in patients in the intensive care unit (ICU). The relationship between the hemoglobin glycation index (HGI) and delirium in sepsis patients in the ICU is not yet clearly established. Aims: To investigate the relationship between HGI and delirium risk in sepsis patients admitted to the ICU. Study Design: Retrospective cohort study. Methods: The data were extracted from the Medical Information Mart for Intensive Care IV 3.1 for the sepsis population in the ICU. The primary outcome was delirium occurrence in the ICU, whereas the secondary outcome was 30-day all-cause mortality (ACM) after ICU admission. The patients were stratified into tertiles according to HGI levels: T1 (HGI < -0.612), T2 (-0.612 ≤ HGI < 0.008), and T3 (HGI ≥ 0.008). The link of HGI to clinical outcomes in ICU patients was examined through logistic regression (LR), Cox proportional hazard models, and restricted cubic spline (RCS) and threshold effect analyses. The robustness of our findings was rated through subgroup analyses and interaction tests. Results: In total, 3,744 patients were encompassed in the final analysis. The LR model showed that delirium risk in the T1 group was 67.7% higher than that in the T2 group [odds ratio (OR) = 1.677, 95% confidence interval (CI): 1.414, 1.992], while that in the T3 group was 24.8% higher than that in the T2 group (OR = 1.248, 95% CI: 1.048, 1.487). The Cox proportional hazard model indicated a 36.2% higher risk of 30-day ACM in T1 compared to T2 (hazard ratio = 1.362; 95% CI: 1.041-1.782). The RCS curve demonstrated an approximately U-shaped relation of HGI to delirium risk. The threshold effect analysis revealed an inflection point at HGI = -0.34. When HGI ≤ -0.34, each one-unit increase in HGI lowered the delirium risk by 36.2% (95% CI: 0.527-0.768). Conclusion: This study suggested an independent association between HGI and both delirium risk and short-term prognosis in particularly in patients admitted to the ICU. HGI may be used as a prognostic risk stratification biomarker.

Indexed as

DeliriumGlycated HemoglobinSepsisAgedCohort StudiesFemaleHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsGlycated Hemoglobin

Identifiers

PMID41190763
PMCPMC12758577

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.