PGL
Conditions
Keywords
myocardial injury, prediciton, pheochromocytoma/paraganglioma
Brief summary
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.
Detailed description
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.
Interventions
None listed
Sponsors
Peking Union Medical College Hospital
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Myocardial injury after laparoscopic PPGL resection | 30days after surgery | Myocardial injury was defined as an elevated troponin I level exceeding the 99th percentile upper reference limit due to cardiac ischemic causes. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Acute myocardial infarction | 30days after surgery | An increase in troponin exceeding 99% of the reference limit is associated with at least one of the following: 1. Symptoms of myocardial ischemia; 2. New ECG ischemic changes (ST elevation or depression or abnormal Q wave; 3. Imaging findings of abnormal new ventricular wall movement or loss of viable myocardia consistent with ischemic etiology; 4. Coronary thrombosis was confirmed by coronary intervention (angiography) or autopsy. |
| Nonfatal cardiac arrest | 30days after surgery | An event in which cardiac activity abruptly stops, usually through CPR and/or defibrillation or cardioversion, or cardiac pacing reversal, resulting in a loss of normal signs of breathing and spontaneous circulation. |
| Congestive heart failure | 30days after surgery | Patients with new postoperative symptoms and signs: fatigue, dyspnea, upright breathing, paroxysmal dyspnea at night, increased jugular vein pressure, wet rales found on physical examination, heart enlargement, pulmonary vascular congestion. |
| New atrial fibrillation | 30days after surgery | new atrial fibrillation heart rate confirmed by electrocardiogram or color Doppler ultrasound after surgery. |
| Stroke | 30days after surgery | CT or MRI showing cerebral infarction or cerebral hemorrhage or new neurological symptoms (hemiplegia, decreased muscle strength, or dysphonia) lasting more than 24 hours |
Countries
China
Contacts
Primary ContactLING LAN, MD
Backup ContactYI-FEI ZHAO, MD
Outcome results
None listed