Glycemic variability and mortality in patients with aortic diseases: A multicenter retrospective cohort study

S Shanshan Tang Z Zhiqiang Zhang Y Yu Cheng (School of Chemistry and Chemical Engineering) L Lizhuang Zhang Q Qiyao Wang (Laboratory for Aquatic Animal Diseases, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology) C Cuihua Wang

Abstract

Background The influence of glycemic variability (GV), defined as blood glucose fluctuations, on short-term mortality in patients with aortic diseases, such as aneurysms and dissections, remains understudied. This study evaluates the association between GV and mortality, explores non-linear patterns, and determines a GV threshold predictive of mortality risk. Methods A retrospective analysis of 2,441 patients with aortic aneurysm or dissection from the MIMIC IV and eICU-CRD databases was performed. Key variables, including demographics, clinical characteristics, comorbidities, laboratory findings, and treatments, were assessed. Logistic and Cox regression models, smooth curve fitting, and subgroup analyses examined associations between GV and ICU and 30-day mortality. Results ICU mortality occurred in 165 patients (6.8%), and 30-day mortality in 235 patients (9.6%). Increased GV was linearly associated with ICU mortality risk (P for non-linearity = 0.666). For 30-day mortality, a U-shaped relationship was observed, with minimal risk at a GV index of 0.2047 (P for non-linearity = 0.041). Adjusted models confirmed these findings (ICU mortality: OR = 1.15, 95% CI = 1.03–1.30, 30-day mortality: HR = 1.10, 95% CI = 1.03–1.18). Conclusions GV is significantly associated with short-term mortality in aortic disease patients, with a U-shaped pattern for 30-day mortality and an optimal threshold of 0.2047. These findings underscore the importance of tailored glucose management strategies and call for further research into underlying mechanisms.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 6
Published June 25, 2025
Pages e0325006
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (6)

S

Shanshan Tang

Z

Zhiqiang Zhang

Y

Yu Cheng

School of Chemistry and Chemical Engineering

L

Lizhuang Zhang

Q

Qiyao Wang

Laboratory for Aquatic Animal Diseases, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology

C

Cuihua Wang