# Prognostic value of blood glucose trajectories in critically ill patients with intracerebral hemorrhage: A retrospective cohort study

**Authors:** Huan Zuo, Xin Zuo, Yaxin Zhang, Weihong Zheng

PMC · DOI: 10.1371/journal.pone.0342745 · PLOS One · 2026-02-24

## TL;DR

Early blood sugar patterns in ICU patients with brain hemorrhage predict short-term survival, offering a new way to assess risk.

## Contribution

Identifies distinct glucose trajectory classes and their independent association with mortality in ICH patients.

## Key findings

- Three glucose trajectory classes were identified, including stable normoglycemia and two with abnormal patterns.
- Unfavorable glucose patterns were linked to higher 28-day in-hospital mortality after adjustment.
- Associations were consistent across sensitivity and subgroup analyses, including age and diabetes status.

## Abstract

Abnormal glucose regulation is common in critically ill patients with intracerebral hemorrhage (ICH), but the prognostic relevance of early glucose patterns remains unclear. We aimed to identify early blood glucose trajectories in ICU patients with ICH and evaluate their association with short-term mortality.

Adult patients with ICH were identified from the MIMIC-IV database. Latent class analysis was applied to blood glucose measurements obtained within the first 36 hours after ICU admission to identify distinct glucose trajectory classes. Cox proportional hazards models were used to assess the association between glucose trajectories and 28-day in-hospital mortality with multivariable adjustment. A 36-hour landmark analysis and sensitivity analyses including patients with ICU length of stay <36 hours were conducted to evaluate robustness.

A total of 1,978 patients were classified into three glucose trajectory classes: stable normoglycemia, a U-shaped pattern with initial severe hyperglycemia, and an inverted U-shaped pattern with marked glycemic fluctuation. Compared with the stable group, both unfavorable trajectory classes were associated with significantly higher 28-day in-hospital mortality after full adjustment (P <  0.05). These associations were consistent across landmark and sensitivity analyses. Kaplan–Meier analyses demonstrated significant survival differences among trajectory classes, and subgroup analyses suggested effect modification by age and diabetes status.

Early blood glucose trajectories within the first 36 hours after ICU admission are independently associated with 28-day in-hospital mortality in patients with ICH. Dynamic glucose patterns may provide additional prognostic value for early risk stratification.

## Linked entities

- **Diseases:** intracerebral hemorrhage (MONDO:0013792), diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}
- **Diseases:** peptic ulcer disease (MESH:D010437), ischemic stroke (MESH:D002544), Diabetic (MESH:D003920), endothelial dysfunction (MESH:D014652), hypoglycemia (MESH:D007003), myocardial infarction (MESH:D009203), Failure (MESH:D051437), neuroinflammation (MESH:D000090862), insulin resistance (MESH:D007333), hemorrhagic stroke (MESH:D000083302), rheumatic disease (MESH:D012216), traumatic brain injury (MESH:D000070642), hematoma (MESH:D006406), critically ill (MESH:D016638), hyperglycemia (MESH:D006943), peripheral vascular disease (MESH:D016491), liver disease (MESH:D008107), inflammation (MESH:D007249), Comorbidity (MESH:D004194), LGMM (MESH:D006130), atherosclerosis (MESH:D050197), ICH (MESH:D002543), death (MESH:D003643), Hypertension (MESH:D006973), brain injuries (MESH:D001930), neuroendocrine dysregulation (MESH:D018358), metabolic (MESH:D008659), hypertensive small vessel disease (MESH:D059345), sepsis (MESH:D018805), chronic pulmonary disease (MESH:D002908), brain tissue damage (MESH:D017695), hemorrhage (MESH:D006470), renal disease (MESH:D007674), congestive heart failure (MESH:D006333), Organ Failure (MESH:D009102), IVH (MESH:D000074042), respiratory failure (MESH:D012131), cerebral amyloid angiopathy (MESH:D016657), dysfunction (MESH:D006331), AKI (MESH:D058186), dementia (MESH:D003704)
- **Chemicals:** nitrogen (MESH:D009584), urea (MESH:D014508), bicarbonate (MESH:D001639), oxygen (MESH:D010100), sodium (MESH:D012964), potassium (MESH:D011188), calcium (MESH:D002118), chloride (MESH:D002712), ROS (MESH:D017382), Blood glucose (MESH:D001786), NO (MESH:D009569), Glucose (MESH:D005947), creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12931793/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12931793/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12931793/full.md

---
Source: https://tomesphere.com/paper/PMC12931793