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
Description
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
Eligibility
Inclusion Criteria:
- （1）Children aged 1 month to 12 years, （2） ASA Class I or II, （3）scheduled for surgery under general anesthesia
Exclusion Criteria:
-（1）Children and guardians declined to participate in the study (2) children with severe
chronic respiratory, cardiovascular, central nervous system, liver and kidney diseases; (3)
on the day of operation, the patients had active URTI and pulmonary infection, such as
severe nasal obstruction, large amount of airway secretion, severe cough, fever (body
temperature > 37.5 ° C) , in addition to the above symptoms, signs of pulmonary
consolidation and/or wet Rales, or peripheral white blood cells > 10 × 109/L or < 4 × 109/L
with or without left shift of the nucleus, and chest X-ray showed new patchy, patchy
infiltrative shadows or interstitial changes.
(4) the child had severe anaphylaxis to narcotic drugs