First Characterization of Tissue Oxygen Saturation Recovery Patterns in Pediatric Cardiac Surgery Patients Undergoing Remote Ischemic Preconditioning and the Association With Clinical Outcomes.

OBJECTIVE: This study aimed to delineate the recovery patterns of regional oxygen saturation (SrO2) in pediatric cardiac surgery patients subjected to remote ischemic preconditioning (RIPC), utilizing near-infrared spectroscopy (NIRS) for quantification. It also sought to establish the correlation between these perfusion patterns and postoperative clinical outcomes. DESIGN: A prospective longitudinal observational study. SETTING: The study was conducted at (BLINDED FOR REVIEW), a high-complexity service provider institution in (BLINDED FOR REVIEW). PARTICIPANTS: Pediatric patients (younger than 18 years of age) scheduled for elective cardiac surgery requiring cardiopulmonary bypass between August 2022 and July 2023. INTERVENTIONS: RIPC was performed after anesthetic induction, involving cycles of ischemia and reperfusion on a lower limb. Monitoring included SrO2 using NIRS. MEASUREMENTS AND MAIN RESULTS: The study identified 4 distinct patterns of SrO2 during RIPC. Findings demonstrated a significant association between the negative SrO2 pattern and increased postoperative adverse events, including extended hospital stays and higher mortality, while a positive pattern was associated with better outcomes. CONCLUSIONS: Specific patterns of SrO2 response to RIPC may serve as important indicators for risk stratification in congenital heart surgery. This study illustrated the potential of NIRS in detecting hypoxic states and predicting postoperative outcomes, emphasizing the need for standardized clinical interpretation of RIPC patterns.

ChatGPT's learning and reasoning capacity in anesthesiology

Introduction: Over the past few months, ChatGPT has raised a lot of interest given its ability to perform complex tasks through natural language and conversation. However, its use in clinical decision-making is limited and its application in the field of anesthesiology is unknown. Objective: To assess ChatGPT's basic and clinical reasoning and its learning ability in a performance test on general and specific anesthesia topics. Methods: A three-phase assessment was conducted. Basic knowledge of anesthesia was assessed in the first phase, followed by a review of difficult airway management and, finally, measurement of decision-making ability in ten clinical cases. The second and the third phases were conducted before and after feeding ChatGPT with the 2022 guidelines of the American Society of Anesthesiologists on difficult airway management. Results: On average, ChatGPT succeded 65% of the time in the first phase and 48% of the time in the second phase. Agreement in clinical cases was 20%, with 90% relevance and 10% error rate. After learning, ChatGPT improved in the second phase, and was correct 59% of the time, with agreement in clinical cases also increasing to 40%. Conclusions: ChatGPT showed acceptable accuracy in the basic knowledge test, high relevance in the management of specific difficult airway clinical cases, and the ability to improve after learning.

Introducción: En los últimos meses, ChatGPT ha suscitado un gran interés debido a su capacidad para realizar tareas complejas a través del lenguaje natural y la conversación. Sin embargo, su uso en la toma de decisiones clínicas es limitado y su aplicación en el campo de anestesiología es desconocido. Objetivo: Evaluar el razonamiento básico, clínico y la capacidad de aprendizaje de ChatGPT en una prueba de rendimiento sobre temas generales y específicos de anestesiología. Métodos: Se llevó a cabo una evaluación dividida en tres fases. Se valoraron conocimientos básicos de anestesiología en la primera fase, seguida de una revisión del manejo de vía aérea difícil y, finalmente, se midió la toma de decisiones en diez casos clínicos. La segunda y tercera fases se realizaron antes y después de alimentar a ChatGPT con las guías de la Sociedad Americana de Anestesiólogos del manejo de la vía aérea difícil del 2022. Resultados: ChatGPT obtuvo una tasa de acierto promedio del 65 % en la primera fase y del 48 % en la segunda fase. En los casos clínicos, obtuvo una concordancia del 20 %, una relevancia del 90 % y una tasa de error del 10 %. Posterior al aprendizaje, ChatGPT mejoró su tasa de acierto al 59 % en la segunda fase y aumentó la concordancia al 40 % en los casos clínicos. Conclusiones: ChatGPT demostró una precisión aceptable en la prueba de conocimientos básicos, una alta relevancia en el manejo de los casos clínicos específicos de vía aérea difícil y la capacidad de mejoría secundaria a un aprendizaje.

Optimal Global Longitudinal Strain Thresholds for Pediatric Heart Surgery: Insights from a University Hospital.

Congenital heart diseases impact millions annually, with pediatric care lacking suitable risk assessment tools. This research seeks to illuminate the association between the global longitudinal strain (GLS) and the subsequent impact on postoperative outcomes, contributing to a deeper understanding of its predictive value in the pediatric population affected by congenital heart diseases. An observational, analytic, longitudinal, and prospective study was conducted from May 2022 to May 2023, including all patients under 18 undergoing heart surgery with cardiopulmonary bypass (CBP). Patients not classifiable within the Risk Adjustment for Congenital Heart Surgery were excluded. Using transesophageal echocardiography, GLS was measured pre- and post-CPB. Receiver operating characteristic curve analysis determined GLS cut-off points for 30-day mortality risk, using Youden's method for optimal sensitivity and specificity. Bivariate and multivariate analysis identified the relationships between clinical variables. Eighty-nine patients undergoing congenital heart surgery were included. Fifteen deaths occurred. The area under the curve (AUC) for each GLS classification (pre, post, index) demonstrated effective discriminatory capacity (> 0.70) in predicting 30-day mortality. Pre-CBP GLS showed the strongest predictive power (AUC 0.833, IQR: 0.731 - 0.936) with a cut-off point of 12. Values lower than the cut-off point of pre-CPB GLS correlated with increased vasoactive-inotropic Scores and longer mechanical ventilation. GLS measurement is a reproducible method for assessing ventricular function in pediatric heart surgery, showing potential as a prognostic tool. This study marks the initial effort to establish cut-off points for preoperative GLS, postoperative GLS, and the strain index.

Intraoperative circulatory arrest secondary to high-risk pulmonary embolism. Case series and updated literature review.

BACKGROUND: Intraoperative pulmonary embolism (PE) with cardiac arrest (CA) represents a critical and potentially fatal condition. Available treatments include systemic thrombolysis, catheter-based thrombus fragmentation or aspiration, and surgical embolectomy. However, limited studies are focused on the optimal treatment choice for this critical condition. We present a case series and an updated review of the management of intraoperative CA secondary to PE. METHODS: A retrospective review of patients who developed high-risk intraoperative PE was performed between June 2012 and June 2022. For the updated review, a literature search on PubMed and Scopus was conducted which resulted in the inclusion of a total of 46 articles. RESULTS: A total of 196 174 major non-cardiac surgeries were performed between 2012 and 2022. Eight cases of intraoperative CA secondary to high-risk PE were identified. We found a mortality rate of 75%. Anticoagulation therapy was administered to one patient (12.5%), while two patients (25%) underwent thrombolysis, and one case (12.5%) underwent mechanical thrombectomy combined with thrombus aspiration. Based on the literature review and our 10-year experience, we propose an algorithm for the management of intraoperative CA caused by PE. CONCLUSION: The essential components for adequate management of intraoperative PE with CA include hemodynamic support, cardiopulmonary resuscitation, and the implementation of a primary perfusion intervention. The prompt identification of the criteria for each specific treatment modality, guided by the individual patient's characteristics, is necessary for an optimal approach.

Diffuse alveolar hemorrhage induced by inhaled Sevoflurane. Case report and literature review.

Diffuse alveolar hemorrhage secondary to sevoflurane inhalation is a rare condition. It should be considered in postoperative patients presenting symptoms of hemoptysis, hypoxemia, or radiographic alveolar infiltrates. We present the case of a 42-year-old man who experienced a diffuse alveolar hemorrhage following sedation with sevoflurane during a low-risk orthopedic procedure. Initially, the patient presented hemoptysis, hypoxemia, and dyspnea. X-ray findings suggested alveolar hemorrhage and the diagnosis was confirmed with fiberoptic bronchoscopy. The patient improved under the care of the pulmonary service and was discharged. Early identification and management of this respiratory complication were crucial for a successful recovery.