The Relationship Between Lactate and Lactate Clearance with In-Hospital Mortality in Unselected Emergency Department Patients. 2024

Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
Emergency Physician, Department of Emergency, Merkezefendi State Hospital, Manisa, Turkey.

BACKGROUND Lactate is a frequently used biomarker in emergency departments (EDs), especially in critically ill patients. The aim of this study is to investigate the relationship between lactate and lactate clearance with in-hospital mortality in unselected ED patients. METHODS This study was carried out retrospectively in the ED of a tertiary hospital. Patients aged 18 years and older whose blood lactate level was obtained in the ED were included in the study. Patients whose lactate value did not have sufficient analytical accuracy, whose lactate value was recorded in the system 180 minutes after admission, who were admitted to the ED as cardiac arrest, and whose ED or hospital outcome was unknown were excluded from the study. According to the first measured lactate value, the patients were divided into three groups: < 2.0mmol/L, 2.0-3.9mmol/L, and ≥ 4.0mmol/L. Lactate clearance was calculated and recorded in patients with one-to-four hours between two lactate values. RESULTS During the five-year study period, a total of 1,070,406 patients were admitted to the ED, of which 114,438 (10.7%) received blood gas analysis. The median age of 81,449 patients included in the study was 58 years (IQR: 30, min: 18-max: 117) and 54.4% were female. The study found that non-trauma patients with a lactate level between 2.0-3.9mmol/L had a 2.5-times higher mortality risk, while those with a lactate level of ≥ 4.0mmol/L had a 20.8-times higher risk, compared to those with a lactate level < 2.0mmol/L. For trauma patients, the mortality risk was three-times higher for those with lactate levels between 2.0-3.9mmol/L and nine-times higher for those with a lactate level of ≥ 4.0mmol/L, compared to those with a lactate level < 2.0mmol/L. Among patients with a first measured lactate value ≥ 4.0mmol/L and a two-hour lactate clearance < 20%, the mortality rate was 19.7%. In addition, lactate, lactate clearance, and age were independent variables for mortality in this patient group. CONCLUSIONS The lactate value in unselected patients in the ED is a biomarker that can be used to predict the prognosis of the patients. In addition, lactate, lactate clearance, and age are independent predictors of mortality.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D004636 Emergency Service, Hospital Hospital department responsible for the administration and provision of immediate medical or surgical care to the emergency patient. Emergency Outpatient Unit,Emergency Services Utilization,Hospital Emergency Room,Hospital Emergency Service,Hospital Emergency Services Utilization,Accident and Emergency Department,Emergency Departments,Emergency Hospital Service,Emergency Room,Emergency Units,Emergency Ward,Hospital Service Emergency,Service, Hospital Emergency,Department, Emergency,Departments, Emergency,Emergencies, Hospital Service,Emergency Department,Emergency Hospital Services,Emergency Outpatient Units,Emergency Room, Hospital,Emergency Rooms,Emergency Rooms, Hospital,Emergency Services, Hospital,Emergency Unit,Emergency Wards,Emergency, Hospital Service,Hospital Emergency Rooms,Hospital Emergency Services,Hospital Service Emergencies,Hospital Service, Emergency,Hospital Services, Emergency,Outpatient Unit, Emergency,Outpatient Units, Emergency,Room, Emergency,Room, Hospital Emergency,Rooms, Emergency,Rooms, Hospital Emergency,Service Emergencies, Hospital,Service Emergency, Hospital,Service, Emergency Hospital,Services Utilization, Emergency,Services Utilizations, Emergency,Services, Emergency Hospital,Services, Hospital Emergency,Unit, Emergency,Unit, Emergency Outpatient,Units, Emergency,Units, Emergency Outpatient,Utilization, Emergency Services,Ward, Emergency,Wards, Emergency
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective

Related Publications

Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
February 2016, Intensive care medicine,
Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
September 2018, The western journal of emergency medicine,
Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
December 2015, The western journal of emergency medicine,
Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
January 2007, Journal of healthcare management / American College of Healthcare Executives,
Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
September 2016, Journal of the Medical Association of Thailand = Chotmaihet thangphaet,
Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
May 2005, Annals of emergency medicine,
Ozlem Susur, and Murat Yesіlaras, and Yesim Eyler
January 2020, Frontiers in medicine,
Copied contents to your clipboard!