Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 600}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'RECRUITING', 'startDateStruct': {'date': '2024-12-31', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2024-04', 'completionDateStruct': {'date': '2024-12-31', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2024-04-03', 'studyFirstSubmitDate': '2024-04-03', 'studyFirstSubmitQcDate': '2024-04-03', 'lastUpdatePostDateStruct': {'date': '2024-04-09', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2024-04-09', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2024-12-31', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'The occurrence of perioperative respiratory adverse events', 'timeFrame': 'perioperative', 'description': 'Collection of respiratory adverse events including laryngeal spasm, Bronchospasm, decreased oxygen saturation, and increased secretions'}]}, 'oversightModule': {'oversightHasDmc': True, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['respiratory adverse events, risk prediction, children'], 'conditions': ['Perioperative Respiratory Adverse Events']}, 'descriptionModule': {'briefSummary': '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', 'detailedDescription': '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'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD'], 'maximumAge': '12 Years', 'minimumAge': '1 Month', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Children aged 1 month to 12 years, Asa Class I or II, scheduled for surgery under general anesthesia', 'eligibilityCriteria': 'Inclusion Criteria:\n\n* (1)Children aged 1 month to 12 years, (2) ASA Class I or II, (3)scheduled for surgery under general anesthesia\n\nExclusion Criteria:\n\n-(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.\n\n(4) the child had severe anaphylaxis to narcotic drugs'}, 'identificationModule': {'nctId': 'NCT06354569', 'briefTitle': 'Risk Factors and Risk Grading Prediction of Perioperative Respiratory Adverse Events in Children', 'organization': {'class': 'OTHER', 'fullName': "Sichuan Provincial People's Hospital"}, 'officialTitle': 'Risk Factors and Risk Grading Prediction of Perioperative Respiratory Adverse Events in Children', 'orgStudyIdInfo': {'id': '2022.232'}}, 'contactsLocationsModule': {'locations': [{'city': 'Chengdu', 'state': 'Sichuan', 'status': 'RECRUITING', 'country': 'China', 'contacts': [{'name': 'Yanyu Liu', 'role': 'CONTACT', 'email': '43197113@qq.com', 'phone': '+8613438348895'}, {'name': 'Ting Xu', 'role': 'CONTACT', 'phone': '+8317708130267'}], 'facility': "Sichuan provincial Peopel'Hospital", 'geoPoint': {'lat': 30.66667, 'lon': 104.06667}}], 'centralContacts': [{'name': 'Yanyu Liu', 'role': 'CONTACT', 'email': '43197113@qq.com', 'phone': '+8613438348895'}], 'overallOfficials': [{'name': 'Ting Xu', 'role': 'STUDY_DIRECTOR', 'affiliation': "Sichuan provincial Peopel'Hospital"}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': "Sichuan Provincial People's Hospital", 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Principal Investigator', 'investigatorFullName': 'Yanyu Liu', 'investigatorAffiliation': "Sichuan Provincial People's Hospital"}}}}