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Construction and validation of a machine learning-based model for risk prediction of refeeding syndrome in ICU patients

Construction and validation of a machine learning-based model for risk prediction of refeeding syndrome in ICU patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096073
Enrollment
Unknown
Registered
2025-01-17
Start date
2025-01-19
Completion date
Unknown
Last updated
2025-01-27

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

Conditions

Refeeding Syndrome

Interventions

Patients categorized into groups based on the occurrence of refeeding syndrome:None

Sponsors

Tianjin Medical University General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years old; 2. NRS 2002 score (within 24 hours of ICU admission) >= 3 points; 3. An anticipated duration of nutritional support in the ICU >= 5 days; 4. Consent to participate in this study.

Exclusion criteria

Exclusion criteria: 1. Recent (within the past three months) parathyroidectomy, renal replacement therapy, or treatment for hyperphosphatemia; 2. Patients receiving palliative care; 3. Concurrent participation in other investigational studies.

Design outcomes

Primary

MeasureTime frame
Area under the receiver operating characteristic curve, AUC;Serum phosphorus;—

Secondary

MeasureTime frame
Accuracy;Sensitivity;Specificity;Youden index;Serum potassium;Serum magnesium;Muscle mass;Calf circumference;RFS score of NICE guidelines;RFS score of ASPEN criteria;LOS of ICU stay;LOS;mortality;—

Countries

China

Contacts

Public ContactLi Xin

Tianjin Medical University General Hospital

872549837@qq.com+86 136 6212 8705

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026