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Objective The influence of serum sodium level changes on septic patient survival after cardiopulmonary bypass surgery is not clear. We attempted to figure out the impact of serum sodium trajectory changes on the 30-day mortality rate of such patients.Methods The Medical Information Mart for Intensive Care (MIMIC)-IV database was searched to gather patients who developed sepsis after cardiopulmonary bypass surgery. A group-based trajectory model (GBTM) was employed to determine the serum sodium trajectory within 72 h of ICU admission. Patients’ survival differences between different trajectory groups were compared using Kaplan–Meier (K–M) survival curves. Cox regression models were further employed to explore the correlation between survival status and serum sodium trajectory.Results 1,038 eligible patients were involved in this project. GBTM identified 3 serum sodium trajectories, all showing a trend of initial decrease followed by an increase. K–M curve analysis uncovered a notable difference in 30-day survival status between Class 1 and Class 2 (Log-rank p = 0.039), while no obvious differences were observed between other groups. Cox hazard analysis revealed that in the three models adjusting for different covariates, Class 2 was connected with the increased risk of survival (OR > 1, p

BackgroundTetralogy of Fallot (TOF) belongs to cyanotic heart damage, which is the most common in clinic. In the chronic myocardial hypoxia injury related to TOF, the potential molecular mechanism of cardiac energy metabolism remains unclear.Materials and methodsIn our study, microarray transcriptome analysis and metabonomics methods were used to explore the energy metabolism pathway during chronic hypoxia injury. The gene expression omnibus (GEO) dataset GSE132176 was obtained for analyzing the metabolic pathways. The clinical samples (right atrial tissues) of atrial septal defect (ASD) and TOF were analyzed by metabonomics. Next, we screened important pathways and important differential metabolites related to energy metabolism to explore the pathogenesis of TOF.ResultsGene set enrichment analysis (GSEA) indicated that fructose 6-phosphate metabolic process, triglyceride metabolic process, and et al. were significantly enriched. Gene set variation analysis (GSVA) results showed that significant difference of ASD group and TOF group existed in terpenoid metabolic process and positive regulation of triglyceride metabolic process. Pathways with significant enrichment (impact > 0.1) in TOF were caffeine metabolism (impact = 0.69), sphingolipid metabolism (impact = 0.46), glycerophospholipid metabolism (impact = 0.26), tryptophan metabolism (impact = 0.24), galactose metabolism (impact = 0.11). Pathways with significant enrichment (impact > 0.1) in ASD are caffeine metabolism (impact = 0.69), riboflavin metabolism (impact = 0.5), alanine, aspartate and glutamate metabolism (impact = 0.35), histidine metabolism (impact = 0.34) and et al.ConclusionDisturbed energy metabolism occurs in patients with TOF or ASD, and further investigation was needed to further clarify mechanism.