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

NCT04088825 | Completed DMC

• 1 other identifier: HULP PI-2340
• Study Type: observational
• Target: 233
• Locations: 1 country
• Sites: 1

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.

Conditions

Malnutrition

Outcome Measures

Primary Outcomes (1)

• To detect as many patients with malnutrition risk as possible

  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.

  Three months

Interventions

CONUT screening system OTHER

CONUT has been working from june of 2010 and it has detected risk of malnutrition in 32% of the evaluated patients. 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.

Eligibility Criteria

• Age: 15 Years+
• Sex: all
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Cross-sectional study in which the nutritional status of patients will be assessed in the first 72 hours of entry.

You may qualify if:

• 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

You may not qualify if:

• 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

Sponsors & Collaborators

• Instituto de Investigación Hospital Universitario La Paz: lead

Study Sites (1)

Institute for Health Research IdiPAZ

Madrid, Spain

Location

MeSH Terms

Conditions

Malnutrition

Condition Hierarchy (Ancestors)

Nutrition Disorders; Nutritional and Metabolic Diseases

Study Officials

• Carmen Gómez Candela, Msc

  Hospital Universitario La Paz

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 12, 2019
• First Posted: September 13, 2019
• Study Start: July 15, 2012
• Primary Completion: September 15, 2012
• Study Completion: December 31, 2012
• Last Updated: September 13, 2019

Record last verified: 2019-08

Locations

ES (1)