Prediction Model of Vitamin D Deficiency

Prediction Model of Vitamin D Deficiency in Critically Ill Patients

Many studies have pointed out that patients with vitamin D deficiency have a longer stay in the intensive care unit and a poor prognosis. Previous multi- center prospective observational study in Taiwan reveals that the prevalence of vitamin D deficiency in critically ill patients in northern Taiwan is 59%, and the prevalence of severe vitamin D deficiency is 18%. Several prediction models of vitamin D deficiency had been built for the general population but not patients admitted in intensive care units.

This multi-center retrospective study aims to develop and validate a score-based prediction model for severe vitamin D deficiency in critically ill patients. Investigators will review the data of previous multicenter, prospective, observational study. For temporal validation, the data will be divided into a derivation cohort (first 80% of the data set based on chronology) and a validation cohort (the remaining data set). The development and validation of the models will be carried out following the recommendations established in the Transparency Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) initiative.

Study Overview

• Status: Completed
• Conditions: Critical Illness
• Intervention / Treatment: Other: Admitted to intensive care units

• Study Type: Observational
• Enrollment (Actual): 662

Contacts and Locations

Study Locations

• Taiwan
  • Taipei City, Taiwan, 100
    • Department of Anesthesiology, National Taiwan University Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 20 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Critically ill patients

Description

Inclusion Criteria:

• Patients admitted to intensive care units

Exclusion Criteria:

• aged < 20 years
• admitted to intensive care unit longer than 28 days
• body max index < 18 kg/m2
• receive vitamin D supplement > 3000 IU/day
• previously admitted to intensive care unit within 3 months
• have parathyroid disease, rickets, or severe liver cirrhosis [Child C]

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Critically ill patients; Patients admitted to intensive care units	Other: Admitted to intensive care units; Admitted to intensive care units

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Performance of the score-based prediction model	Area under the receiver operating characteristic (AUROC) and area under precision recall curve (AUPRC) of the prediction models for severe vitamin D deficiency	1 day

Collaborators and Investigators

• Sponsor: National Taiwan University Hospital

Study record dates

Study Major Dates

• Study Start (Actual): May 1, 2022
• Primary Completion (Actual): August 1, 2022
• Study Completion (Actual): September 1, 2022

Study Registration Dates

• First Submitted: May 12, 2022
• First Submitted That Met QC Criteria: May 12, 2022
• First Posted (Actual): May 17, 2022

Study Record Updates

• Last Update Posted (Actual): September 13, 2022
• Last Update Submitted That Met QC Criteria: September 11, 2022
• Last Verified: September 1, 2022

More Information

Terms related to this study

• Keywords: critical care; vitamin D
• Additional Relevant MeSH Terms: Pathologic Processes; Disease Attributes; Nutrition Disorders; Avitaminosis; Deficiency Diseases; Malnutrition; Vitamin D Deficiency; Critical Illness
• Other Study ID Numbers: 202203073RIND

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No