A Risk Prediction Model for Hypothermia After Laparoscopic Gastrointestinal Tumor Surgery

NCT05958550 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 480

Last updated 2024-02-09

No results posted yet for this study

Summary

The incidence of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors is high. Hypothermia increases the risk of postoperative complications and medical costs. Early warning can effectively reduce the incidence of postoperative hypothermia in patients. Multivariate prediction models help identify high-risk patients and reversible factors. At present, there are few reports on the risk factors and prediction models of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors. Therefore, this study aims to clarify the risk factors of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors. Four machine learning algorithms, traditional Logistic regression analysis, decision tree, random forest and naive Bayes, were used to establish risk prediction models. According to the TRIPOD statement, C-index, Hosmer-Lemeshow ( H-L ) test and decision curve analysis ( DCA ) were used to evaluate the prediction and fitting effects of the models in all aspects, and the optimal model was selected and verified. Provide reference for subsequent research.

Conditions

  • Hypothermia; Anesthesia

Interventions

BEHAVIORAL

The tympanic membrane temperature of patients was measured.

After the patient entered the anesthesia recovery room ( PACU ) at the end of the operation, the ear canal was cleaned with cotton swabs by nurses trained in the use of ear temperature guns to avoid the impact of earwax. The patient was in a supine position, the patient 's head was fixed, the patient 's auricle was gently pulled back and up, the ear canal was straight, the ear temperature gun was put into the ear canal, the temperature of the patient 's left and right ears was measured uniformly, and the average value was taken as the final body temperature value. Thereafter, the same measurement was performed every 20 minutes until the patient left the resuscitation room.

Sponsors & Collaborators

  • RenJi Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-03-12
Primary Completion
2025-06-12
Completion
2025-12-12

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Read the full study record

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View NCT05958550 on ClinicalTrials.gov