Investigation of the Relationship Between Nutritional Status Assessment and Frailty in Critical Care Patients

Status

Enrolling by invitation

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07143084

Enrollment

100

Registered

2025-08-27

Start date

2025-05-15

Completion date

2027-05-01

Last updated

2026-03-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Critical Illness, Fraility

Keywords

CONUT, Fraility, NUTRIC Score

Brief summary

This study aims to understand the effects of these two parameters on clinical outcomes by examining the relationship between NUTRIC and CONUT scores in intensive care patients. The results of the study may contribute to the development of new approaches to the treatment process of patients by better understanding the relationship between nutritional status and pre-hospital frailty in intensive care units. In addition, eliminating the deficiencies in this area will pave the way for the creation of more effective and personalized treatment plans for similar patients.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

65 Years to No maximum

Healthy volunteers

Inclusion criteria

* over 65 * 48 hours min. ICU stay

Exclusion criteria

* Patients who are under 65 years of age * whose intensive care stay does not exceed 48 hours * who have missing data for serum albumin or lymphocyte count or total cholesterol, * who have been diagnosed with hematological diseases such as leukemia or lymphoma

Design outcomes

Primary

Measure	Time frame	Description
Correlation between CONUT scale and frailty in intensive care patients	From enrollment 2 days	To evaluate the correlation between the CONUT scale and frailty, Pearson or Spearman correlation analysis will be performed depending on suitability for normal distribution. Logistic regression analysis will be performed to assess the independent association between CONUT scale and frailty. Potential confounding variables such as age, gender, APACHE II score, and activities of daily living will be included in the regression model.

Secondary

Measure	Time frame	Description
Association of NUTRIC score and CONUT scale with clinical outcomes	From enrollment to through study completion an average of 1 year	To evaluate the correlation between the NUTRIC score and CONUT scale with clinical outcome, Pearson or Spearman correlation analysis will be performed depending on suitability for normal distribution. Logistic regression analysis will be performed to assess the independent association between CONUT scale and NUTRIC score. Potential confounding variables such as age, gender, APACHE II score, and activities of daily living will be included in the regression model.

Countries

Turkey (Türkiye)

Outcome results