ArticleBMC infectious diseases2026
Stress hyperglycemia ratio and short-term mortality in critically ill septic patients: stratified analysis by diabetes status.
Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundSepsis is a dysregulated immune response to infection, often leading to metabolic abnormalities. The stress hyperglycemia ratio (SHR), a reliable predictive indicator, has been widely used in the prediction of adverse outcomes in cardiovascular and cerebrovascular diseases. However, studies on the relationship between the SHR and adverse outcomes in critically ill septic patients are limited. Therefore, this study aimed to investigate the relationship between the SHR and short-term mortality in critically ill septic patients.
methodsA retrospective analysis of septic patients from the MIMIC-IV database was conducted. The Boruta algorithm was used to identify key features that predict short-term mortality in septic patients. Time-varying Cox proportional hazards model, subgroup analysis, restricted cubic splines (RCSs), and Kaplan‒Meier (K‒M) survival analysis were used to assess the relationships between the SHR and 28-day and 90-day all-cause mortality, along with a subgroup analysis based on diabetic status.
resultsThis study included 15,876 patients with sepsis, 60.6% of whom were male. Boruta feature selection identified the stress hyperglycemia ratio (SHR) as an important clinical variable. Multivariable Cox proportional hazards models with time‑varying coefficients showed a positive association between SHR and both 28‑day and 90‑day mortality (HR = 1.683, 95% CI 1.489–1.903, P < 0.0001; HR = 1.533, 95% CI 1.397–1.681, P < 0.0001). Restricted cubic spline (RCS) analyses further supported a linear relationship between SHR and 28‑day and 90‑day mortality. Subgroup analyses suggested that the association between SHR and short‑term mortality may be stronger in non‑diabetic than in diabetic patients. Sensitivity analyses were consistent, indicating robustness of the findings.
conclusionThe SHR is closely associated with short-term mortality in septic patients, suggesting that it could serve as a potential predictive factor for early risk assessment and clinical intervention.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.