This is an Observational Study That Aims to Demonstrate Postoperative Risk Factors in Pediatric Cardiac Surgery

Congenital heart disease (CHD) affects approximately 1% of births and, although surgical advances have significantly reduced mortality, postoperative complications still represent a major challenge. Cardiopulmonary bypass (CPB) has been associated with adverse outcomes, such as longer mechanical ventilation time, prolonged hospital stay and hospital infections, which reinforces the importance of identifying predictors of complications. In this context, this study seeks to analyze the main risk factors that influence the recovery of children undergoing cardiac surgeries, contributing to the improvement of perioperative management.

This is a retrospective observational study, which will be conducted based on the analysis of medical records of pediatric patients undergoing cardiac surgeries in a tertiary hospital in Brazil. The research will allow the evaluation of clinical, surgical and laboratory variables, aiming to identify patterns and associations between perioperative factors and postoperative complications. This approach is justified by the wide availability of data, allowing robust statistical analyses, in addition to enabling the identification of clinical trends relevant to medical practice.

The study's general objective is to identify risk factors for postoperative complications in pediatric cardiac surgeries. To this end, it seeks to evaluate the incidence and types of complications, analyze the relationship between extracorporeal circulation time and adverse outcomes, in addition to identifying perioperative variables associated with mortality, length of hospital stay and hospital costs.

Data collection will be performed retrospectively based on the analysis of electronic and physical medical records, ensuring patient confidentiality and anonymity. A standardized instrument will be used to extract information, covering demographic characteristics, preoperative information, intraoperative data, postoperative complications and clinical outcomes. Data collected include age, sex, weight, height, cardiac diagnosis, CPB time, and use of vasoactive drugs, in addition to the occurrence of complications such as arrhythmias, acute kidney injury, and hospital infections. Data storage and organization will follow strict security protocols, ensuring restricted access to the responsible researchers. The informed consent form will be waived.

Statistical analysis will be conducted using descriptive and inferential methods. Categorical variables will be expressed as frequencies and percentages, while continuous variables will be presented as means and standard deviations or medians and interquartile ranges, according to their distribution. Initially, comparisons between groups will be performed using appropriate statistical tests, such as the t-test, Mann-Whitney, chi-square, and Fisher's exact test. To identify predictive factors of postoperative complications, multivariate logistic regression will be applied, in addition to calculations of predictive performance, including ROC curve, sensitivity, and specificity. The results will be considered statistically significant for p \< 0.05, and the analyses will be conducted using SPSS 25.0 and STATA 12.0 software.

The study will be conducted between 2025 and 2027, including submission to the Ethics Committee, data collection, statistical analysis and final defense. The total estimated budget for the research is R$ 1,000.00, covering costs for data collection materials, printing and acquisition of scientific literature.

Therefore, this study seeks to provide crucial information for reducing postoperative complications and optimizing care for pediatric patients undergoing cardiac surgeries. The identification of predictive factors will allow the development of preventive strategies and more effective interventions, contributing to improving the quality of life of these patients and reducing hospital costs.

• The Incidence [Time frame: 2 years]
• CPB and Complications [Time frame: 2 years]
• Adverse Outcomes [Time frame: 2 years]
• The influence of complications [Time frame: 2 years]