The importance of serum albumin determination method to classify patients based on nutritional status

Autor: P. Chanca Alvarez, R. Nuñez Cabetas, M. Duque Alcorta, Mj. Alcaide Martín, M. Valero, C. Gómez Candela
Rok vydání: 2018
Předmět:
Adult
Male
0301 basic medicine
medicine.medical_specialty
Adolescent
Endocrinology
Diabetes and Metabolism
Serum albumin
Nutritional Status
Serum Albumin
Human
Severity of Illness Index
Young Adult
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Predictive Value of Tests
Severity of illness
medicine
Global health
Humans
Lymphocyte Count
Lymphocytes
030212 general & internal medicine
Young adult
Child
Intensive care medicine
Aged
Retrospective Studies
Aged
80 and over
030109 nutrition & dietetics
Nutrition and Dietetics
biology
business.industry
Malnutrition
Infant
Reproducibility of Results
Retrospective cohort study
Middle Aged
medicine.disease
Cholesterol
Nutrition Assessment
chemistry
Child
Preschool
Predictive value of tests
biology.protein
Female
business
Bromocresol purple
Biomarkers
Zdroj: Clinical Nutrition ESPEN. 25:110-113
ISSN: 2405-4577
Popis: Summary The global health community has recognized the role of food and nutrition in health maintenance and disease prevention. Undernutrition is an important problem in clinical circles but it is still not highly considered by specialists. It is well known the consequences of undernutrition on the immunological systems. Furthermore, the main consequences are an increase of morbidity-mortality rates, postoperative complications, length of stay and number of hospital early readmissions. These are all reasons to lead to increase health-care financial costs. The total assistance quality could be improved by the arrangement of an automatic detection system of undernutrition. In our hospital, we use the screening tool "CONtrolling NUTritional status" (CONUT). To measure albumin, the laboratory could use bromocresol green (BCG) and bromocresol purple (BCP) method. The aim of this study is to evaluate the CONNUT tool to classify patients using two different albumin methods to measure. Material and Methods The albumin and cholesterol performed in Advia 2400 analyzer using bromocresol green and purple methods to measure albumin. The total lymphocytes performed in Advia 2120. We calculate CONNUT index and classify the patients based on nutritional status. When we classified our patients based on nutritional status (CONNUT), 28% were misclassified, almost in moderate and severe groups. This is very important because this tool generates a multidisciplinary action to the patient. Therefore, in the Clinical Laboratory we have to know the methods we use, the validity of these methods in future tools/index and the management and outcome of the patients.
Databáze: OpenAIRE
Externí odkaz: