2020PubMedRequires access

[Lactic acid, lactate clearance and procalcitonin in assessing the severity and predicting prognosis in sepsis].

Mengya Zhao, Meili Duan

Open publisher page 9 citations

Abstract

OBJECTIVE: To explore the value of lactic acid (Lac), lactate clearance (LCR) and procalcitonin (PCT) in assessing the severity and predicting the prognosis in sepsis. METHODS: 18-80-year-old patients with sepsis admitted to the department of critical care medicine of Beijing Friendship Hospital, Capital Medical University from April 2009 to December 2019 were enrolled. The gender, age, basic illness, infection site, organ function, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), Lac and PCT were collected on admission to intensive care unit (ICU), as well as Lac after 24 hours, 24-hour LCR, and 28-day prognosis. The patients were divided into sepsis group and septic shock group according to Sepsis-3 criteria. According to the 28-day prognosis, the septic shock patients were divided into survival group and death group, and the differences of each index between the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of death in septic shock patients. The receiver operating characteristic (ROC) curve was used to analyze the role of Lac, LCR, PCT, SOFA score and APACHE II score in predicting prognosis of the patients with septic shock. RESULTS: : odds ratio (OR) = 0.997, 95% confidence interval (95%CI) was 0.996-0.999, P = 0.001; SCr: OR = 1.001, 95%CI was 1.000-1.002, P = 0.041; Lac: OR = 0.925, 95%CI was 0.871-0.982, P = 0.011; SOFA: OR = 1.178, 95%CI was 1.110-1.251, P = 0.000]. ROC curve analysis showed that SOFA, SOFA+APACHE II, Lac+24-hour LCR+PCT+SOFA+APACHE II could predict mortality in septic shock patients, and the area under the ROC curve (AUC) was 0.769 (95%CI was 0.740-0.798), 0.787 (95%CI was 0.759-0.815), 0.800 (95%CI was 0.773-0.827), respectively. The joint of the five indicators, Lac, 24-hour LCR, PCT, SOFA and APACHE II has the largest AUC. CONCLUSIONS: Lac is an independent risk factor for death in patients with septic shock, however, the prognosis cannot be predicted. Comprehensive analysis of LCR, PCT, SOFA, APACHE II and the clinical organ functions are required for analysis.

About this research paper

What this paper is about

OBJECTIVE: To explore the value of lactic acid (Lac), lactate clearance (LCR) and procalcitonin (PCT) in assessing the severity and predicting the prognosis in sepsis. METHODS: 18-80-year-old patients with sepsis admitted to the department of critical care medicine of Beijing Friendship Hospital, Capital Medical University from April 2009 to December 2019 were enrolled. The gender, age, basic illness, infection site, organ function, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), Lac and PCT were collected on admission to intensive care unit (ICU), as well as Lac after 24 hours, 24-hour LCR, and 28-day prognosis. The patients were divided into sepsis group and septic shock group according to Sepsis-3 criteria. According to the 28-day prognosis, the septic shock patients were divided into survival group and death group, and the differences of each index between the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of death in septic shock patients. The receiver operating characteristic (ROC) curve was used to analyze the role of Lac, LCR, PCT, SOFA score and APACHE II score in predicting prognosis of the patients with septic shock. RESULTS: : odds ratio (OR) = 0.997, 95% confidence interval (95%CI) was 0.996-0.999, P = 0.001; SCr: OR = 1.001, 95%CI was 1.000-1.002, P = 0.041; Lac: OR = 0.925, 95%CI was 0.871-0.982, P = 0.011; SOFA: OR = 1.178, 95%CI was 1.110-1.251, P = 0.000]. ROC curve analysis showed that SOFA, SOFA+APACHE II, Lac+24-hour LCR+PCT+SOFA+APACHE II could predict mortality in septic shock patients, and the area under the ROC curve (AUC) was 0.769 (95%CI was 0.740-0.798), 0.787 (95%CI was 0.759-0.815), 0.800 (95%CI was 0.773-0.827), respectively. The joint of the five indicators, Lac, 24-hour LCR, PCT, SOFA and APACHE II has the largest AUC. CONCLUSIONS: Lac is an independent risk factor for death in patients with septic shock, however, the prognosis cannot be predicted. Comprehensive analysis of LCR, PCT, SOFA, APACHE II and the clinical organ functions are required for analysis.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

OBJECTIVE: To explore the value of lactic acid (Lac), lactate clearance (LCR) and procalcitonin (PCT) in assessing the severity and predicting the prognosis in sepsis. METHODS: 18-80-year-old patients with sepsis admitted to the department of critical care medicine of Beijing Friendship Hospital, Capital Medical University from April 2009 to December 2019 were enrolled. The gender, age, basic illness, infection site, organ function, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), Lac and PCT were collected on admission to intensive care unit (ICU), as well as Lac after 24 hours, 24-hour LCR, and 28-day prognosis. The patients were divided into sepsis group and septic shock group according to Sepsis-3 criteria. According to the 28-day prognosis, the septic shock patients were divided into survival group and death group, and the differences of each index between the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of death in septic shock patients. The receiver operating characteristic (ROC) curve was used to analyze the role of Lac, LCR, PCT, SOFA score and APACHE II score in predicting prognosis of the patients with septic shock. RESULTS: : odds ratio (OR) = 0.997, 95% confidence interval (95%CI) was 0.996-0.999, P = 0.001; SCr: OR = 1.001, 95%CI was 1.000-1.002, P = 0.041; Lac: OR = 0.925, 95%CI was 0.871-0.982, P = 0.011; SOFA: OR = 1.178, 95%CI was 1.110-1.251, P = 0.000]. ROC curve analysis showed that SOFA, SOFA+APACHE II, Lac+24-hour LCR+PCT+SOFA+APACHE II could predict mortality in septic shock patients, and the area under the ROC curve (AUC) was 0.769 (95%CI was 0.740-0.798), 0.787 (95%CI was 0.759-0.815), 0.800 (95%CI was 0.773-0.827), respectively. The joint of the five indicators, Lac, 24-hour LCR, PCT, SOFA and APACHE II has the largest AUC. CONCLUSIONS: Lac is an independent risk factor for death in patients with septic shock, however, the prognosis cannot be predicted. Comprehensive analysis of LCR, PCT, SOFA, APACHE II and the clinical organ functions are required for analysis.

Key concepts: Medicine, Procalcitonin, Septic shock, Sepsis, SOFA score, APACHE II, Internal medicine, Intensive care unit

Related papers

Back to paper searchBrowse research topicsOriginal source
[Lactic acid, lactate clearance and procalcitonin in assessing the severity and predicting prognosis in sepsis]. — Research Paper | ScholarLens