Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study - Scorecard - MDSpire
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Development and internal validation of a nomogram to predict perioperative hypothermia in patients undergoing laparoscopic gynecologic surgery under general anesthesia: a retrospective cohort study
Clinical Scorecard: Creation and internal assessment of a nomogram for forecasting perioperative hypothermia in patients receiving laparoscopic gynecologic surgery with general anesthesia: a retrospective cohort analysis
At a Glance
Category
Detail
Condition
Perioperative hypothermia
Key Mechanisms
Core body temperature <36.0 °C during intraoperative or immediate postoperative period
Target Population
Adult patients undergoing laparoscopic gynecologic surgery under general anesthesia
Care Setting
Single-center, retrospective observational cohort study
Key Highlights
65.8% of patients developed perioperative hypothermia
Final model predictors: age, body mass index, operative time
AUC of 0.788 in training cohort, 0.810 in validation cohort
Sensitivity of 0.925 and specificity of 0.580 in validation cohort
Nomogram developed for risk stratification and individualized temperature management
Guideline-Based Recommendations
Diagnosis
Define perioperative hypothermia as core body temperature <36.0 °C
Management
Utilize targeted temperature monitoring and active warming strategies
Monitoring & Follow-up
Implement routine temperature surveillance during surgery
Risks
Adverse outcomes include surgical site infections, coagulopathy, higher transfusion requirements, delayed anesthetic recovery, and prolonged hospital stay
Patient & Prescribing Data
Adult patients undergoing laparoscopic gynecologic surgery
Nomogram assists in identifying high-risk patients for hypothermia
Clinical Best Practices
Focus on individualized temperature management rather than universal warming measures
Consider patient-related factors such as age and body mass index in risk assessment
Utilize model for triage in temperature monitoring and warming strategies
Federal prosecutors allege that a Florida physician and research staff fabricated clinical trial records that were submitted into database systems used to evaluate investigational drugs.
