Validation of the CONUT Software Tool for Screening Clinical Malnutrition in the University Hospital La Paz

Completed

• Conditions: Malnutrition

• Registration Number: NCT04088825
• Lead Sponsor: Instituto de Investigación Hospital Universitario La Paz

Brief Summary

Nutrition Department of University Hospital La Paz decided to implement some method of screening in our centre which allowed us to detect as many patients with malnutrition risk as possible. Due to the large size of our centre, with about 1,500 beds and the few human resources in our unit, we chose to use the CONUT system (Nutritional Control), a 100% automatic method based on analytical parameters, very easy to use, low cost and whose validity is confirmed, characteristics that fulfilled our needs. The implementation of this nutritional screening method has led to a change in the ìnutritionafi culture of our centre respect to DRM in most of our professionals: doctors and nurses and even in the management team, so all of them understand the importance of the process and know about the available tools and knowledge to indicate an adequate and early nutritional support.

Detailed Description

Not available

Study Timeline

• Study Start: 2012-07-15
• Primary Completion: 2012-09-15
• Study Completion: 2012-12-31
• Status Verified: 2019-08
• Study First Submitted: 2019-09-12
• Study First Submitted QC: 2019-09-12
• Last Update Submitted: 2019-09-12
• Study First Posted: 2019-09-13
• Last Update Posted: 2019-09-13

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 233

Inclusion Criteria

• Patients of both sexes
• Patients older than 15 years
• Patients admitted to the General Hospital or Traumatology area
• Patients who have signed the informed consent to participate in the study
• Patients who do not meet any exclusion criteria.

Exclusion Criteria

• Pregnant women.
• Patients whose physical and / or psychic capacity prevents them from providing all the data collected by the evaluated methods or who do not have a caregiver.
• Non-collaborating patients in data collection
• Patients in whom a hospital stay of less than 48 hours is expected.
• Patients who at the time of performing the analyzes are in the ICU and OER

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
To detect as many patients with malnutrition risk as possible	Three months	The method collects information from databases of Admission Service (affiliation, age, date) and Laboratory (albumin, cholesterol, total lymphocytes) and generates, in the report of analytical results, "alert" information about each patient's nutritional risk and also nutritional recommendations based on the risk identified. Prior to its implantation several evaluations were performed in order to allow us to better know the extra workload, as it was the main factor that could limit our ability to assume that screening method and also many training activities for doctors and hospital health professionals who were increasingly assuming responsibilities in the nutritional treatment of their patients.

Trial Locations

Locations (1)

Institute for Health Research IdiPAZ; 🇪🇸 Madrid, Spain