Serum Anion Gap Level Predicts All-Cause Mortality in Septic Patients: A Retrospective Study Based on the MIMIC III Database.

Zhu, Yao; He, Zonglin; Jin, Ya; Zhu, Sui; Xu, Weipeng; Li, Bingxiao; Nie, Chuan; Liu, Guosheng; Lyu, Jun; Han, Shasha

Zhu, Yao; He, Zonglin; Jin, Ya; Zhu, Sui; Xu, Weipeng; Li, Bingxiao; Nie, Chuan; Liu, Guosheng; Lyu, Jun; Han, Shasha.

Afiliación

Zhu Y; Department of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, China.
He Z; Department of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jin Y; International School, 47885Jinan University, Guangzhou, China.
Zhu S; Division of Life Science, 58207The Hong Kong University of Science and Technology, Hong Kong, China.
Xu W; Department of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Li B; Department of Public Health and Preventive Medicine, School of Medicine, 47885Jinan University, Guangzhou, China.
Nie C; Department of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Liu G; Department of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Lyu J; Department of Neonatology, 90405Guangdong Women and Children Hospital, Guangzhou, China.
Han S; Department of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, China.

J Intensive Care Med ; 38(4): 349-357, 2023 Apr.

Article en En | MEDLINE | ID: mdl-36066040

RESUMEN

PURPOSE: Sepsis is a significant threat in the intensive care unit (ICU) worldwide because it has high morbidity and mortality rates. Early recognition and diagnosis of sepsis are essential for the prevention of adverse outcomes. The present study aimed to quantitatively assess the association between serum anion gap (AG) levels and 30- and 90-day all-cause mortality among sepsis patients. METHODS: Clinical data of patients diagnosed with sepsis were extracted from the Medical Information Mart for Intensive Care III (MIMIC III) database. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate the association between serum AG levels and all-cause mortality. A receiver operating characteristic (ROC) curve was drawn to quantify the efficacy of using the serum AG level to predict all-cause mortality. RESULTS: A total of 3811 patients were included in the study. The Kaplan-Meier curves showed that patients with higher serum AG levels had a shorter survival time than those with lower levels. Serum AG levels were found to be highly effective in predicting all-cause mortality secondary to sepsis (30-day: AUROC = 0.703; 90-day: AUROC = 0.696). The Cox regression model further indicated that the serum AG level was an independent risk factor for 30- and 90-day mortality in sepsis (HR 3.44, 95% CI 2.97-3.99 for 30-day; HR 3.17, 95% CI 2.76-3.65 for 90-day, P < 0.001 for both). CONCLUSIONS: High serum AG may be considered as an alternative parameter for predicting the death risk in sepsis when other variables are not immediately available. Prospective large-scale studies are needed to support its predictive value in the clinic.

Asunto(s)

Equilibrio Ácido-Base; Sepsis; Humanos; Estudios Retrospectivos; Estudios Prospectivos; Pronóstico; Cuidados Críticos; Unidades de Cuidados Intensivos; Curva ROC

Palabras clave

MIMIC III; mortality; sepsis; serum anion gap

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Equilibrio Ácido-Base / Sepsis Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Intensive Care Med Asunto de la revista: TERAPIA INTENSIVA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google