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Clinical Trial Summary

The goal of this prospective randomized controlled clinical trail is to explore the value of integrating continuous cardiac index variability indicators with existing weaning standards to guide perioperative myocardial injury patients weaning. The main question it aims to answer is: whether the introduction of new indicators for weaning standards can improve the success rate of weaning. Treatment that'll be given to participants is: the cardiac index (CI) is continuously monitored from 15-30 minutes prior to the start of the weaning from ventilation. Participants who increase their CI by more than 30% can have their tracheal intubation removed. Researchers will compare the weaning success rate of CI group and control group.


Clinical Trial Description

In this study, investigator'll recruit participants of perioperative myocardial injury as the research objects, the continuous cardiac index variability index was added to the current traditional weaning standard to form a new weaning standard. In this prospective, randomized, and controlled study, the impact of the new weaning standard and the traditional weaning standard on weaning failure rate was compared. Whether the new weaning standard is superior to ordinary weaning standards is evaluated in terms of participants prognosis, incidence of complications, and medical resource consumption. Quality assurance plan that addresses data validation and registry procedures: Two researchers who have received unified training record and register participant data separately, and a third researcher conducts weekly data checks to compare data entered into the registry against predefined rules for range. The source data will be verified to assess the accuracy, completeness of registry data by comparing the data to medical records and paper or electronic case report forms. Standard Operating Procedures to address participant recruitment, data collection, data management, data analysis, reporting for adverse events, and change management will be formulated before recruit. The estimation of sample size is based on testing that the new weaning standard is superior to traditional standards in improving weaning success rate. According to previous reports and our previous study data, the sample size was calculated using PASS 11.0 software. The results showed that 91 cases were needed in each group. Considering a 5% dropout rate, 100 participants were included in each group for a total of 200 participants. Plan for missing data: Investigator will verify the data monthly and recruit sufficient participants according to the research protocol and statistical requirements. Statistical analysis plan: - Use SAS 10.0 statistical software for statistical analysis. Quantitative data is represented by mean, standard deviation, median and interquartile range, while count data is represented by absolute frequency and composition ratio. - The comparison of weaning success rates for primary study endpoints was conducted using the confidence interval method. Calculate the one-sided 95% confidence interval for the difference in success rates between the new offline standard group and the traditional offline standard group, if this interval is greater than δ Value, it can be considered that the new offline standard is superior to the traditional offline standard. - Secondary study endpoints: basic demographic characteristics and clinical indicators, postoperative mechanical ventilation time, ICU stay, hospital stay, and incidence of ventilator-associated pneumonia. Student t-tests and rank sum tests were used for inter group comparison of quantitative data; The inter group comparison of counting data adopts kapa Inspection. All tests are bilateral tests with significance levels α = 0.05. - The patient's survival status was described using Kaplan Meier survival curves, and intergroup differences were tested using the Breslow method. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06240104
Study type Interventional
Source Peking University People's Hospital
Contact Shu Li, doctor
Phone +86 010 88324480
Email lishu2401@163.com
Status Recruiting
Phase N/A
Start date February 19, 2024
Completion date December 31, 2025