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Prediction Model of Vitamin D Deficiency

Completed
Conditions
Critical Illness
Interventions
Other: Admitted to intensive care units
Registration Number
NCT05376774
Lead Sponsor
National Taiwan University Hospital
Brief Summary

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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
662
Inclusion Criteria
  • Patients admitted to intensive care units
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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]
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Critically ill patientsAdmitted to intensive care unitsPatients admitted to intensive care units
Primary Outcome Measures
NameTimeMethod
Performance of the score-based prediction model1 day

Area under the receiver operating characteristic (AUROC) and area under precision recall curve (AUPRC) of the prediction models for severe vitamin D deficiency

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Department of Anesthesiology, National Taiwan University Hospital

🇨🇳

Taipei City, Taiwan

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