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Construction and evaluation of a prediction model for the deterioration of nutritional status of critically ill children based on big data technology

Construction and evaluation of a prediction model for the deterioration of nutritional status of critically ill children based on big data technology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036251
Enrollment
Unknown
Registered
2020-08-22
Start date
2021-01-01
Completion date
Unknown
Last updated
2020-09-07

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

Conditions

Critically Ill Children

Interventions

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Sponsors

Shanghai Children's Medical Center affiliated to Shanghai Jiaotong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: 1. Age from January to 18 years old; 2. From January 1, 2021 to December 31, 2021, children who were hospitalized for more than 24 hours in PICU at Shanghai Children's Medical Center;

Exclusion criteria

Exclusion criteria: 1. Children who cannot measure nutrition evaluation indicators; 2. Died within 24 hours after entering PICU; 3. Those who do not want to participate in this research.

Design outcomes

Primary

MeasureTime frame
weight;height;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactFeng sheng

Shanghai Children's Medical Center

ucta2003@126.com+86 13917941037

Outcome results

None listed

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