Miriam Menacho-Román - Clinical Biochemistry Department. University Hospital “Ramón y Cajal”, Madrid, Spain
Gilberto Pérez-López - Endocrinology Department. University Hospital “Ramón y Cajal”, Madrid, Spain
José Manuel del Rey-Sánchez - Clinical Biochemistry Department. University Hospital “Ramón y Cajal”, Madrid, Spain
Domingo Ly-Pen - Abbey House Medical Centre, Navan, Ireland
Antonio Becerra-Fernández - Endocrinology Department. University Hospital “Ramón y Cajal”, Madrid, Spain

Background: Hospital malnutrition, usually secondary to various diseases and their treatments, is an important problem in our clinical practice. For its proper assessment, it is crucial to use a nutritional alert system, such as the CONUT (COntrol NUTrition) program; this tool uses ۳ analytical parameters: serum albumin, total cholesterol, and total lymphocyte count. Objective: The current study assessed the results of the implementation of this program in the University Hospital Ramón y Cajal. Methods: The CONUT program has been used in the University Hospital Ramón y Cajal since ۲۰۱۳. This retrospective study, throughout ۲۰۱۶, was conducted in the Central Laboratory of Chemical Biochemistry at the University Hospital Ramón y Cajal. All blood tests with serum albumin, total cholesterol, and total lymphocyte count were studied. The degree of malnutrition was assessed using the scale of normal (=۰), mild (=۴), moderate (=۸), and severe (=۱۲). Results: In ۲۰۱۶, there were ۴۰۵۴۰۶ analytics performed in the laboratory of University Hospital Ramón y Cajal. The CONUT tool was applied to ۳.۶۴% of them (۱۴۷۴۱ analytics). In the outpatient setting, the highest malnutrition index comprised patients from the liver transplant consultation department, followed by the cardiology, rheumatology, and oncology departments. With inpatients, the hematology, cardiology, and endocrinology departments showed the most severe malnutrition index. Conclusion: The CONUT system seemed to provide useful information about the cohort of the studied hospital. The results showed that ۹۴% of the patients were not classified with malnutrition, there was no gender predilection, and they were younger than the rest. Patients with more severe malnutrition were usually older and male.

Malnutrition, Early Diagnosis, Laboratories, Nutritional Status