Evidence map›Paper›PMID 42548560›Full record

ArticleFrontiers in nutrition2026

Joint trajectories of nutritional risk and fluid balance and prognosis in critically ill adults: a dual-trajectory modeling study using MIMIC-IV and eICU.

Yang He, Jiali Huang, Xidong Wang, Gaosheng Zhou, Jinglan Liu

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yang HeYichang Central Department of Critical Care Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, China Three Gorges University, Yichang, Hubei, China.
Jiali HuangYichang Central Department of Critical Care Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, China Three Gorges University, Yichang, Hubei, China.
Xidong WangYichang Central Department of Critical Care Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, China Three Gorges University, Yichang, Hubei, China.
Gaosheng ZhouYichang Central People's Hospital, Yichang, Hubei, China.
Jinglan LiuYichang Central People's Hospital, Yichang, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutritional risk and fluid balance evolve rapidly during critical illness, but their joint longitudinal patterns and prognostic relevance remain incompletely characterized. This study identified early joint trajectories of GNRI-derived nutritional risk and fluid balance and evaluated their associations with mortality in critically ill adults. Methods: This retrospective dual-database study used MIMIC-IV as the development cohort and eICU as an independent reproducibility cohort. Adult ICU patients with an ICU stay >=3 days and at least three paired daily measurements of GNRI-derived nutritional risk and weight-standardized fluid balance during ICU days 1-7 were included. Nutritional risk was defined as 98 minus daily GNRI. Group-based multi-trajectory modeling identified joint phenotypes. Multivariable logistic and Cox regression models evaluated associations with hospital and short-term mortality. Sensitivity analyses included landmark analyses, extended covariate adjustment, proportional-hazards diagnostics, posterior-classification assessment, and incremental prediction evaluation. Results: The analysis included 1,243 patients from MIMIC-IV and 9,912 from eICU. Three reproducible joint trajectory phenotypes were identified: persistent moderate-to-high nutritional risk with gradual deresuscitation (Group A), initially severe nutritional risk with high early fluid load and rapid decline (Group B), and worsening nutritional risk with mild-to-moderate deresuscitation (Group C). Group B had the highest crude mortality in both cohorts, with hospital mortality of 40.0% in MIMIC-IV and 34.7% in eICU. In fully adjusted models, Group B was associated with higher 30-day mortality in MIMIC-IV (HR 1.59, 95% CI 1.12-2.28) and higher hospital mortality in eICU (OR 1.95, 95% CI 1.55-2.45). Group C was also associated with increased 90-day mortality in MIMIC-IV (HR 1.37, 95% CI 1.10-1.72) and hospital mortality in eICU (OR 1.29, 95% CI 1.14-1.46). Conclusion: Early joint trajectories of GNRI-derived nutritional risk and fluid balance identified reproducible prognostic phenotypes in selected critically ill adults with sufficient repeated measurements. The phenotype combining severe early nutritional risk with high initial fluid load showed the highest mortality risk. Incremental prediction analyses indicated modest additional prognostic information beyond baseline GNRI and early fluid balance, supporting dynamic nutrition-fluid phenotyping as a complement to conventional severity assessment.

Indexed as

critical careeICUfluid balanceGNRIgroup-based multi-trajectory modelMIMIC-IVmortalitynutritional risk

Identifiers

PMID42548560
PMCPMC13429405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.