Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according to machine learning

• Published in: BMC infectious diseases Vol. 25; no. 1; pp. 579 - 14
• Main Authors: Liu, Lulu, Ma, Qian, Yu, Guangzan, Ji, Xuhou, He, Hua
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 22.04.2025; BioMed Central; BMC
• Subjects: (neutrophil + monocyte)/albumin ratio; Aged; Albumin; Algorithms; Analysis; Blood; Blood Cell Count; Boruta algorithm; Care and treatment; China; Cohort Studies; Complications and side effects; Data mining; Female; Forecasts and trends; Humans; Infection; Machine Learning; Male; Medical examination; Medical research; Medicine, Experimental; Middle Aged; Monocytes; Mortality; Multiple organ failure; Neutrophils; Patient outcomes; Predictive Learning Models; Prevention; Retrospective Studies; Risk Factors; Sepsis; Sepsis - blood; Sepsis - diagnosis; Sepsis - mortality; Serum Albumin, Human - analysis; China; Sepsis; (neutrophil + monocyte)/albumin ratio; Boruta algorithm; Machine learning

Sepsis is a life-threatening condition characterized by widespread inflammatory response syndrome in the body resulting from infection. Previous studies have demonstrated that some inflammatory factors or nutritional elements contributed to deaths in patients diagnosed with sepsis. Nevertheless, the...