Serum Sodium Dynamics and Acute Kidney Injury in Pregnancy Associated Sepsis: Insights from Group-Based Trajectory Modeling

BackgroundPregnancy-associated sepsis poses significant maternal, fetal and neonatal risks, with acute kidney injury (AKI) being a critical complication. The dynamic relationship between serum sodium trajectories and AKI in this population remains unclear.MethodsIn this retrospective cohort study, 138 pregnant patients with sepsis were analyzed using the MIMIC-IV 3.1 database. Three serum sodium trajectory groups were identified via group-based trajectory modeling (GBTM). AKI was defined per KDIGO criteria. Analyses employed logistic regression, inverse probability weighting, multivariable adjustments and cubic spline models.ResultsThree distinct trajectories emerged: Group 1 (low initial sodium that subsequently increased, n = 34), Group 2 (stable sodium levels, n = 83), and Group 3 (high sodium levels throughout, n = 21). Groups 1 and 3 exhibited higher AKI incidence (ORs: 4.04 [95%CI: 1.63-9.96] and 3.97 [95%CI: 1.33-11.87], respectively; both <i>p</i> < 0.05), prolonged ICU stay hours(72, 118 vs 47, <i>p</i> < 0.001), and elevated SOFA scores (<i>p</i> = 0.01) compared to Group 2. Cubic spline analysis revealed a U-shaped risk relationship, with AKI incidence rising at sodium levels >145 mmol/L (<i>p</i>-value for overall was 0.037 and for nonlinear was 0.021).ConclusionsDynamic sodium trajectories, particularly low initial sodium that subsequently increased, independently predict AKI and adverse outcomes in pregnancy-associated sepsis.

Authors

Institutions

Publication Details

Journal
Journal of Intensive Care Medicine
Published
2025-11-04
DOI
https://doi.org/10.1177/08850666251386401
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum Sodium Dynamics and Acute Kidney Injury in Pregnancy Associated Sepsis: Insights from Group-Based Trajectory Modeling

Shan Huang, Tao Pei, Yiping Luo, Ling Lin et al.
Journal of Intensive Care Medicine
Acute Kidney Injury Research
article

Serum Sodium Dynamics and Acute Kidney Injury in Pregnancy Associated Sepsis: Insights from Group-Based Trajectory Modeling

Shan Huang, Tao Pei, Yiping Luo, Ling Lin, Huanshun Xiao, Shuangming Cai
article en

Abstract

BackgroundPregnancy-associated sepsis poses significant maternal, fetal and neonatal risks, with acute kidney injury (AKI) being a critical complication. The dynamic relationship between serum sodium trajectories and AKI in this population remains unclear.MethodsIn this retrospective cohort study, 138 pregnant patients with sepsis were analyzed using the MIMIC-IV 3.1 database. Three serum sodium trajectory groups were identified via group-based trajectory modeling (GBTM). AKI was defined per KDIGO criteria. Analyses employed logistic regression, inverse probability weighting, multivariable adjustments and cubic spline models.ResultsThree distinct trajectories emerged: Group 1 (low initial sodium that subsequently increased, n = 34), Group 2 (stable sodium levels, n = 83), and Group 3 (high sodium levels throughout, n = 21). Groups 1 and 3 exhibited higher AKI incidence (ORs: 4.04 [95%CI: 1.63-9.96] and 3.97 [95%CI: 1.33-11.87], respectively; both <i>p</i> < 0.05), prolonged ICU stay hours(72, 118 vs 47, <i>p</i> < 0.001), and elevated SOFA scores (<i>p</i> = 0.01) compared to Group 2. Cubic spline analysis revealed a U-shaped risk relationship, with AKI incidence rising at sodium levels >145 mmol/L (<i>p</i>-value for overall was 0.037 and for nonlinear was 0.021).ConclusionsDynamic sodium trajectories, particularly low initial sodium that subsequently increased, independently predict AKI and adverse outcomes in pregnancy-associated sepsis.

Journal of Intensive Care Medicine
Xinjiang Medical University (CN), Fifth Affiliated Hospital of Xinjiang Medical University (CN), Guangdong Province Women and Children Hospital (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 62%
Acute Kidney Injury Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.