biostudies-literatureUnknown9Xu F<h4>Background</h4>Sepsis is a serious disease with high clinical morbidity and mortality. Despite the tremendous advances in medicine and nursing, treatment of sepsis remains a huge challenge. Our purpose was to explore the effects of shock index (SI) trajectory changes on the prognosis of patients within 24 h after the diagnosis of sepsis.<h4>Methods</h4>This study was based on Medical Information Mart for Intensive Care IV (MIMIC- IV). The effects of SI on the prognosis of patients with sepsis were investigated using C-index and restricted cubic spline (RCS). The trajectory of SI in 24 h after sepsis diagnosis was classified by latent growth mixture modeling (LGMM). Cox proportional hazard model, double robust analysis, and subgroup analysis were conducted to investigate the influence oFrontiers in medicine898424https://www.ebi.ac.uk/biostudies/studies/S-EPMC9441919biostudies-literatureEffects of growth trajectory of shock index within 24 h on the prognosis of patients with sepsis.PMC9441919Yin HHuang TLyu JZheng SXu FYang RZhang LHuang LHan DFeng AfalseEffects of growth trajectory of shock index within 24 h on the prognosis of patients with sepsis.<h4>Background</h4>Sepsis is a serious disease with high clinical morbidity and mortality. Despite the tremendous advances in medicine and nursing, treatment of sepsis remains a huge challenge. Our purpose was to explore the effects of shock index (SI) trajectory changes on the prognosis of patients within 24 h after the diagnosis of sepsis.<h4>Methods</h4>This study was based on Medical Information Mart for Intensive Care IV (MIMIC- IV). The effects of SI on the prognosis of patients with sepsis were investigated using C-index and restricted cubic spline (RCS). The trajectory of SI in 24 h after sepsis diagnosis was classified by latent growth mixture modeling (LGMM). Cox proportional hazard model, double robust analysis, and subgroup analysis were conducted to investigate the influence o2022-01-01T00:00:00Z20222025-04-22T10:56:29.433Z2024-11-20T07:54:43.759ZS-EPMC94419193607294610.3389/fmed.2022.898424