Risk Factors and Risk Grading Prediction of Perioperative Respiratory Adverse Events in Children

Overview

to explore the risk factors of perioperative respiratory adverse events in children, and to establish a risk prediction model of perioperative respiratory adverse events in children

600 children undergoing elective surgery under general anesthesia were selected. Age, sex, weight, height, allergy history, past history, snoring, passive smoking, abnormal laboratory examination and chest X-ray before operation, upper respiratory tract infection 14 days before operation, Operation Site, working years of anesthesiologist, anesthesia method, Operation Duration, anesthesia duration, perioperative vital signs and respiratory adverse events were collected. The risk prediction model of perioperative respiratory adverse events in children was established by using LASSO (least absolute shrinkage and selection operator) algorithm and gradient boosting machine (GBM) algorithm to screen the relevant data collected during routine diagnosis and treatment, such as demographic characteristics, physical conditions, airway sensitivity, environmental sensitivity and anesthesia management

Conditions

Eligibility

Locations (1)

Outcomes

Central Contacts