Prediction of Myocardial Injury After Laparoscopic Pheochromocytoma/ParaGangLioma Resection

Get Involved

Prediction of Myocardial Injury After Laparoscopic Pheochromocytoma/ParaGangLioma Resection

Study Purpose

This observational study was conducted in patients undergoing elective laparoscopic pheochromocytoma/paraganglioma(PPGL) resection. It mainly answers the following two main questions: 1. What are the risk factors for myocardial injury after laparoscopic PPGL resection？ 2. How to establish the myocardial injury prediction model of laparoscopic PPGL resection? Participants were not required to perform additional research work other than the usual postoperative follow-up within 30 days after surgery. No control group was set in this study, and no additional clinical intervention was performed.

Recruitment Criteria

Accepts Healthy Volunteers Healthy volunteers are participants who do not have a disease or condition, or related conditions or symptoms	No
Study Type An interventional clinical study is where participants are assigned to receive one or more interventions (or no intervention) so that researchers can evaluate the effects of the interventions on biomedical or health-related outcomes. An observational clinical study is where participants identified as belonging to study groups are assessed for biomedical or health outcomes. Searching Both is inclusive of interventional and observational studies.	Observational [Patient Registry]
Eligible Ages	18 Years - 85 Years
Gender	All

More Inclusion & Exclusion Criteria

Inclusion Criteria:

- Scheduled for Laparoscopic PPGL resection.

Exclusion Criteria:

1. Open or laparoscopic conversion to open PPGL resection was excluded. 2. Cardiac paraganglioma was excluded. 3. History of congenital heart disease or cardiac surgery was excluded. 4. Patients with preoperative troponin/hypersensitive troponin elevation were excluded. 5. Carotid body tumor and accessory ganglioma of jugular tympanum without endocrine function were excluded

Trial Details

Trial ID: This trial id was obtained from ClinicalTrials.gov, a service of the U.S. National Institutes of Health, providing information on publicly and privately supported clinical studies of human participants with locations in all 50 States and in 196 countries.	NCT05752773
Phase Phase 1: Studies that emphasize safety and how the drug is metabolized and excreted in humans. Phase 2: Studies that gather preliminary data on effectiveness (whether the drug works in people who have a certain disease or condition) and additional safety data. Phase 3: Studies that gather more information about safety and effectiveness by studying different populations and different dosages and by using the drug in combination with other drugs. Phase 4: Studies occurring after FDA has approved a drug for marketing, efficacy, or optimal use.
Lead Sponsor The sponsor is the organization or person who oversees the clinical study and is responsible for analyzing the study data.	Peking Union Medical College Hospital
Principal Investigator The person who is responsible for the scientific and technical direction of the entire clinical study.	LING LAN, MD
Principal Investigator Affiliation	Peking Union Medical College Hospital
Agency Class Category of organization(s) involved as sponsor (and collaborator) supporting the trial.	Other
Overall Status	Recruiting
Countries	China
Conditions The disease, disorder, syndrome, illness, or injury that is being studied.	PGL

Additional Details

MI-PPGL is a single-center observational ambispective cohort study.On the basis of retrospective study, the research team plans to build a structured database to investigate the incidence of myocardial injury in laparoscopic PPGL-resection, and further analyze myocardial injury related risk factors. In particular, timing data such as vital signs(blood pressure,heart rate)will be included to construct an efficient and robust myocardial injury prediction model. At the same time, a prospective cohort study is carried out to verify the model, so as to test the prediction ability of myocardial injury and reduce the incidence of myocardial injury. The investigators expect to enroll 700 patients, including at least 550 patients retrospectively and 150 patients prospectively.In this study, the main endpoint events of the prediction model are binary outcome. Conservatively estimated according to the "10EPV" principle, that is, each predictive factor included in the model needs at least 10 positive outcome endpoint for estimation (10 events per variable). The investigators expected 5 to 8 predictors to be included in the model, and at least 80 positive events to be included. The incidence of perioperative myocardial injury is 12~20%, so the estimated sample size was at least 666 patients. Considering the absence of data or subject withdrawal from the study. so the investigators expected to include 700 patients, including at least 550 retrospectively and 150 prospectively. STATA (version 15.0; Stata Corp., TX, USA) and R 3.6.1 software (R Foundation for Statistical Computing, Vienna, Austria) will be used for statistical analysis. Binary logistic regression was used to screen risk factors and stratify risk levels. P<0.05 was considered statistically significant. For predictive modeling, clinical databases were 9:1 or 8: 2. Randomly split into training samples and verification samples. In the training samples, optimal subset method and LASSO regression will be used for feature selection.Receiver operating characteristic curve (ROC curve) was used to represent the model differentiation, and Nomogram was used to represent the predictive factors of multiple logistic regression. In the verification samples, Hosmer-Lemeshow goodness of fit test was used to test the calibration degree of the model, and P>0.05 was the acceptable level of estimated fitting of the model. Decision curve analysis (DCA curve) was used to verify the clinical applicability.

Contact a Trial Team

If you are interested in learning more about this trial, find the trial site nearest to your location and contact the site coordinator via email or phone. We also strongly recommend that you consult with your healthcare provider about the trials that may interest you and refer to our terms of service below.