Analgesic efficacy of butorphanol combined with sufentanil after heart valve surgery: A propensity score-matching analysis.

Pain is common after heart valve surgery and can stimulate the sympathetic nervous system, causing hemodynamic instability and respiratory complications. Current treatments for postoperative pain are insufficient, and postoperative pain is difficult to control effectively with a single analgesic. Therefore, we investigated the analgesic efficacy of butorphanol with sufentanil after heart valve surgery and its hemodynamic effects. The records of 221 patients admitted to the intensive care unit after cardiac valve replacement between January 1, 2018, and May 31, 2021, were retrospectively analyzed. Patients were allocated to 2 groups based on the postoperative pain treatment they received: treatment group (administered butorphanol combined with sufentanil), and control group (administered conventional sufentanil analgesia). After propensity score matching for sex, age, Acute Physiology and Chronic Health Evaluation II score, type of valve surgery, and operation duration, 76 patients were included in the study, and analgesic efficacy, hemodynamic changes, and adverse drug reactions were compared between the 2 groups. After propensity score matching, the baseline characteristics were not significantly different between the groups. The histogram and jitter plot of the propensity score distribution indicated good matching. No significant differences were observed in the duration of mechanical ventilation, duration of stay in the intensive care unit, duration of total hospital stay, and hospitalization expenditure between the groups (P > .05). The treatment group had notably higher minimum systolic blood pressure (P = .024) and lower heart rate variability (P = .049) than those in the control group. Moreover, the treatment group exhibited better analgesic efficacy and had lower critical-care pain observation tool scores and consumption of sufentanil 24 hours after surgery than the control group (P < .05). The incidence of vomiting was notably lower in the treatment than in the control group (P = .028). Butorphanol combined with sufentanil can be used in patients after heart valve replacement. This combined treatment has good analgesic efficacy and is associated with reduced adverse drug reactions and, potentially, steady hemodynamics.

Prediction of persistent acute kidney injury in postoperative intensive care unit patients using integrated machine learning: a retrospective cohort study.

Acute kidney injury (AKI) often occurs in patients in the intensive care unit (ICU). AKI duration is closely related to the prognosis of critically ill patients. Identifying the disease course length in AKI is critical for developing effective individualised treatment. To predict persistent AKI at an early stage based on a machine learning algorithm and integrated models. Overall, 955 patients admitted to the ICU after surgery complicated by AKI were retrospectively evaluated. The occurrence of persistent AKI was predicted using three machine learning methods: a support vector machine (SVM), decision tree, and extreme gradient boosting and with an integrated model. External validation was also performed. The incidence of persistent AKI was 39.4-45.1%. In the internal validation, SVM exhibited the highest area under the receiver operating characteristic curve (AUC) value, followed by the integrated model. In the external validation, the AUC values of the SVM and integrated models were 0.69 and 0.68, respectively, and the model calibration chart revealed that all models had good performance. Critically ill patients with AKI after surgery had high incidence of persistent AKI. Our machine learning model could effectively predict the occurrence of persistent AKI at an early stage.