Ignite Creation Date:
2024-05-06 @ 7:43 PM
Last Modification Date:
2024-10-26 @ 3:13 PM
Study NCT ID:
NCT06119009
Status:
COMPLETED
Last Update Posted:
2023-11-07
First Post:
2023-10-25
Brief Title:
New-onset Heart Blocks After Noncardiac Surgery a Retrospective Study of More Than 280000 Patients
Sponsor:
Chinese PLA General Hospital
Organization:
Chinese PLA General Hospital
Study Overview
Official Title:
New-onset Heart Blocks After Noncardiac Surgery a Retrospective Study of More Than 280000 Patients
Status:
COMPLETED
Status Verified Date:
2023-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This study aimed to investigate new-onset heart blocks after noncardiac surgery identify risk factors and develop a prediction model
Detailed Description:
Objective This study aimed to investigate new-onset heart blocks after noncardiac surgery identify risk factors and develop a prediction model
Methods A retrospective cohort study included 281497 patients aged 18 or older who underwent noncardiac surgery at a single center between Jan 2008 and Aug 2019 The main outcome was postoperative new-onset heart blocks within one year including atrioventricular and bundle blocks Prognostic impact was assessed using Kaplan-Meier survival curves and time-dependent Cox regression analysis Perioperative data was used for machine learning models logistic regression support vector machine random forest decision tree Model performance was measured using the area under the receiver operating characteristic curve AUC
Methods A retrospective cohort study included 281497 patients aged 18 or older who underwent noncardiac surgery at a single center between Jan 2008 and Aug 2019 The main outcome was postoperative new-onset heart blocks within one year including atrioventricular and bundle blocks Prognostic impact was assessed using Kaplan-Meier survival curves and time-dependent Cox regression analysis Perioperative data was used for machine learning models logistic regression support vector machine random forest decision tree Model performance was measured using the area under the receiver operating characteristic curve AUC
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None