Description

Trial Design:

Prospective audit in patients undergoing cardiac surgery and planned for overnight stay within our post-anesthesia care unit (PACU) enhanced recovery after cardiac surgery (ERACS) program. The medical records of all patients will be evaluated for the implementation of various interventions of our ERACS program (primary objective). For the secondary objective the investigators will assess the occurrence of postoperative complications and hospital LOS.

For benchmarking (third objective), the investigators will compare the findings with the results of a previous audit (S63843).(4) Data in this retrospective audit was collected from the electronic patient registry (KWS = Klinisch Werk Station). This included all interventions described in the ERACS guidelines. In addition, postoperative complications that occurred up to 7 days were also collected.

Data management:

Data will be obtained, according to the strategy used in the previous audit (S63843), by a research collaborator and an anesthesiologist using the medical records of the included patients. Appropriate data will also be collected from the preoperative anesthesia evaluation sheets (digitally stored in the hospital information system, KWS Nexus health) and from all intra- and postoperative anesthesia records up to 30 days after the index surgery.

Statistics

The investigators aim for a convenience sample of 1-year recruitment, from January 1st 2024 until December 31st 2024 and expect to include approximately 350 cardiac surgical patients in this ERACS audit.

Patient characteristics will be tabulated as absolute numbers, percentages, mean and standard deviation, Objective 1 95% confidence intervals will be reported for the mean (or median) percentage compliances well as for each of the interventions separately, the proportion of patients who adhere to the intervention.

Objective 2 Logistic regressions will be used to verify the relation between the percentage adherence and the presence of a complication (for each complication separately and for the composite endpoint). Odds ratios and 95% confidence intervals will be reported. These analyses will also be performed for the adherence at each intervention separately (fidelity and dose). Spearman correlations and MWU tests will be used to explore relations between adherence (percentage and each intervention separately) and length of hospital stay. Given the possible presence of in-hospital mortality, a LOS value higher than the maximal observed value of the discharged patients will be given to patients who die in the hospital when applying these rank-based methods. Further, Cox regressions will be used to model the cause-specific hazard in presence of in-hospital mortality and hazard ratios (with 95%CI) will be given. A multivariable logistic regression will be used to verify if the relation between protocol adherence and postoperative complications is not confounded by patient (e.g. EuroSCORE II) and procedural (e.g. type of surgery being valvular, bypass or minimally invasive) characteristics. To verify the independent impact of protocol adherence on length of stay, a multivariable Cox regression will be used.

Objective 3 For benchmarking purposes, the percentage adherence will be compared between current sample and the data of the retrospective study using a linear normal model, correcting for potential differences in patient-mix (patient and procedural characteristics) between both periods. Note however that differences are expected to be minimal, since the same inclusion criteria were used, and the accrual period covered a full year. To compare the adherence to each intervention separately and to compare the complication rate(s) a logistic regression will be used.

A p-value of less than 0.05 will be considered statistically significant. Given the large number of planned statistical tests, a single significant p-value will be interpreted with caution.