Longitudinal Stress Hyperglycemia Trajectories and Severe Outcome in Patients Hospitalized for Viral Respiratory Infections: A 72-Hour Phenotyping Study

Background/Objectives: Patients with diabetes face increased risks during viral respiratory infections. While chronic glycemic control (HbA1c) is a known risk factor, it may fail to capture acute metabolic failure. This study aimed to evaluate the stress hyperglycemia ratio (SHR) at two time points (admission and 72 h) as a prognostic marker. Methods: We conducted a longitudinal analysis of 430 patients (211 with diabetes and 219 without diabetes) hospitalized with viral respiratory infections. The SHR was calculated at admission (SHR_z1) and at 72 h (SHR_z3). The primary outcome was severe clinical deterioration (defined as oxygen requirement >2–HFNO/OTI or mortality). Multivariate logistic regression and ROC curve analysis were used to determine independent predictors and clinical cut-off points. Results: In the global multivariable model (N = 430), continuous SHR_z3 emerged as an independent predictor of severe outcome (OR = 1.86, 95% CI 1.09–3.20, p = 0.0240) alongside chronic glycemic control (HbA1c: OR = 1.41, p < 0.0001) and age (OR = 1.05, p = 0.0001). After stratification, the independent SHR_z3 effect attenuated below statistical significance in both the non-diabetic (p = 0.6168) and diabetic (p = 0.1954) sub-cohorts, while HbA1c (p = 0.0404) and age (p = 0.0036) remained independent predictors within the diabetic subgroup. An exploratory longitudinal phenotype model classifying patients into Stable Normal, Resolvers, Persistent, and Late Spikers showed the highest in-sample discrimination of all models tested (AUC = 0.797, 95% CI 0.756–0.834). Within this model, the Persistent phenotype (SHR ≥ 1.1 sustained at admission and at 72 h) showed a non-significant trend toward higher adjusted odds of severe outcome compared with Stable Normal patients (OR = 1.81, 95% CI 0.91–3.60, p = 0.088) and was associated with a significantly longer hospital stay (Kruskal–Wallis p = 0.004 across phenotypes). Conclusions: Persistent stress hyperglycemia at 72 h is an independent predictor of severe outcome in the unstratified cohort after adjustment for chronic glycemic control, age, and other covariates. Within metabolic strata, the SHR_z3 signal attenuates, and long-standing suboptimal glycemic control (HbA1c) and age dominate, particularly among diabetic patients. Longitudinal SHR trajectories may therefore provide complementary, hypothesis-generating prognostic information when combined with chronic baseline markers, although these findings require external validation in independent cohorts before clinical use.

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Journal
Diagnostics
Published
2026-07-23
DOI
https://doi.org/10.3390/diagnostics16152310
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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article

Longitudinal Stress Hyperglycemia Trajectories and Severe Outcome in Patients Hospitalized for Viral Respiratory Infections: A 72-Hour Phenotyping Study

Alexandra Herlo, Delia Berceanu-Văduva, Adelina-Raluca Marinescu, Talida Georgiana Cut et al.
Diagnostics
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

Longitudinal Stress Hyperglycemia Trajectories and Severe Outcome in Patients Hospitalized for Viral Respiratory Infections: A 72-Hour Phenotyping Study

Alexandra Herlo, Delia Berceanu-Văduva, Adelina-Raluca Marinescu, Talida Georgiana Cut, Alexandra Sima, Radu Gheorghe Dan, Ovidiu Roșca, Ana Maria Mihai, Matilda Rădulescu, Ioana-Melinda Luput-Andrica, Andreea-Cristina Floruncut, Florina Cristiana Lucaciu, Andra-Elena Saizu
article en

Abstract

Background/Objectives: Patients with diabetes face increased risks during viral respiratory infections. While chronic glycemic control (HbA1c) is a known risk factor, it may fail to capture acute metabolic failure. This study aimed to evaluate the stress hyperglycemia ratio (SHR) at two time points (admission and 72 h) as a prognostic marker. Methods: We conducted a longitudinal analysis of 430 patients (211 with diabetes and 219 without diabetes) hospitalized with viral respiratory infections. The SHR was calculated at admission (SHR_z1) and at 72 h (SHR_z3). The primary outcome was severe clinical deterioration (defined as oxygen requirement >2–HFNO/OTI or mortality). Multivariate logistic regression and ROC curve analysis were used to determine independent predictors and clinical cut-off points. Results: In the global multivariable model (N = 430), continuous SHR_z3 emerged as an independent predictor of severe outcome (OR = 1.86, 95% CI 1.09–3.20, p = 0.0240) alongside chronic glycemic control (HbA1c: OR = 1.41, p < 0.0001) and age (OR = 1.05, p = 0.0001). After stratification, the independent SHR_z3 effect attenuated below statistical significance in both the non-diabetic (p = 0.6168) and diabetic (p = 0.1954) sub-cohorts, while HbA1c (p = 0.0404) and age (p = 0.0036) remained independent predictors within the diabetic subgroup. An exploratory longitudinal phenotype model classifying patients into Stable Normal, Resolvers, Persistent, and Late Spikers showed the highest in-sample discrimination of all models tested (AUC = 0.797, 95% CI 0.756–0.834). Within this model, the Persistent phenotype (SHR ≥ 1.1 sustained at admission and at 72 h) showed a non-significant trend toward higher adjusted odds of severe outcome compared with Stable Normal patients (OR = 1.81, 95% CI 0.91–3.60, p = 0.088) and was associated with a significantly longer hospital stay (Kruskal–Wallis p = 0.004 across phenotypes). Conclusions: Persistent stress hyperglycemia at 72 h is an independent predictor of severe outcome in the unstratified cohort after adjustment for chronic glycemic control, age, and other covariates. Within metabolic strata, the SHR_z3 signal attenuates, and long-standing suboptimal glycemic control (HbA1c) and age dominate, particularly among diabetic patients. Longitudinal SHR trajectories may therefore provide complementary, hypothesis-generating prognostic information when combined with chronic baseline markers, although these findings require external validation in independent cohorts before clinical use.

DiagnosticsVol. 16(15)
Spitalul Clinic Judeţean de Urgenţă "Pius Brînzeu" Timişoara (RO), Victor Babeș University of Medicine and Pharmacy Timișoara (RO), Spitalul Clinic Dr. Victor Babes (RO)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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