Critical Illness
Conditions
Keywords
critical care, vitamin D
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.
Interventions
Admitted to intensive care units
Sponsors
Study design
Eligibility
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 \[Child C\]
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Performance of the score-based prediction model | 1 day | Area under the receiver operating characteristic (AUROC) and area under precision recall curve (AUPRC) of the prediction models for severe vitamin D deficiency |
Countries
Taiwan