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Developing and validating a prediction model for inadvertent hypothermia in intensive care unit based on LASSO

Developing and validating a prediction model for inadvertent hypothermia in intensive care unit based on LASSO

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200064556
Enrollment
Unknown
Registered
2022-10-11
Start date
2023-05-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Inadvertent hypothermia

Interventions

None listed

Sponsors

School of Nursing, Zunyi Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 120 Years

Inclusion criteria

Inclusion criteria: 1. Inpatients in adult comprehensive ICU; 2. Patients aged >= 18 years; 3. Hospitalization time >= 48 hours; 4. The subjects or their family members gave informed consent to participate in this study voluntarily.

Exclusion criteria

Exclusion criteria: 1. Patients undergoing mild hypothermia treatment (using ice packs, ice blankets, ice caps, hibernation mixture and other cooling methods); 2. Patients undergoing surgery under low temperature; 3. BMI < 18.5 kg/m^2, underarm skin and thermometer can not fit.

Design outcomes

Primary

MeasureTime frame
body temperature;Area under the ROC Curve;Calibration plot;specificity;sensitivity;

Countries

China

Contacts

Public ContactWang Lianhong

School of Nursing, Zunyi Medical University

2726912415@qq.com+86 18908529918

Outcome results

None listed

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