Pre-oxygenation is the key step prior to endotracheal intubation, particularly in a critically ill patient, to prevent life-threatening peri-procedural hypoxemia. This narrative review explores the emerging interest of Non-Invasive Positive Pressure Ventilation (NIPPV) as a pre-oxygenation modality in the intensive care unit (ICU) context. We reviewed data from randomized controlled trials (RCTs) and observational studies published from 2000 to 2024 that compare NIPPV to conventional oxygen therapy and High Flow Nasal Cannula Oxygen (HFNCO). The pathophysiological mechanisms for the successful use of NIPPV, including alveolar recruitment, the decrease of shunting, and the maintenance of functional residual capacity, were reviewed in depth. Existing studies show that NIPPV significantly prolongs the apnea time, reduces the rate of peri-intubation severe hypoxaemia in selected patients and is especially effective for patients with acute hypoxaemic respiratory failure. Nevertheless, appropriate patient selection is still crucial because some diseases can contraindicate or even be harmful with NIPPV. We further discussed the practical aspects of how to use this ventilatory support (the best ventilator settings, which interface, and when to apply it). We lastly discuss unanswered questions and offer suggestions and opportunities for future exploration in guiding the role of NIPPV use in the pre-oxygenation of the critically ill patient requiring emergent airway management.

Artificial intelligence (AI) is rapidly transforming anesthesiology practice across perioperative settings. This review explores the evolution and implementation of hybrid decision-making models that integrate AI capabilities with human clinical expertise. From historical foundations to current applications, we examine how machine learning algorithms, deep learning networks, and big data analytics are enhancing anesthetic care. Key applications include perioperative risk prediction, AI-assisted patient education, automated analysis of clinical records, airway management support, predictive hemodynamic monitoring, closed-loop anesthetic delivery systems, and pain management optimization. In procedural contexts, AI demonstrates promising utility in regional anesthesia through anatomical structure identification and needle navigation, monitoring anesthetic depth via EEG analysis, and improving quality control in endoscopic sedation. Educational applications include intelligent simulators for procedural training and academic productivity tools. Despite significant advances, implementation challenges persist, including algorithmic bias, data security concerns, clinical validation requirements, and ethical considerations regarding AI-generated content. The optimal integration model emphasizes a complementary approach where AI augments rather than replaces clinical judgment—combining computational efficiency with the irreplaceable contextual understanding and ethical reasoning of the anesthesiologist. This hybrid paradigm reinforces the anesthesiologist’s leadership role in perioperative care while enhancing safety, precision, and efficiency through technological innovation. As AI integration advances, continued emphasis on algorithmic transparency, rigorous clinical validation, and human oversight remains essential to ensure that these technologies enhance rather than compromise patient-centered anesthetic care.

One potential complication in bariatric surgery is rhabdomyolysis, which is a condition involving muscle tissue damage that can significantly impact a patient’s health. The causes of rhabdomyolysis can be broadly classified into two major categories: traumatic and non-traumatic. Early investigations into the development of intraoperative rhabdomyolysis in bariatric surgery identified the main risk factors as tissue compression—primarily affecting the lower extremities, gluteal muscles, and lumbar region—as well as prolonged periods of immobilization. Clinically, rhabdomyolysis is typically suspected when a patient presents with muscle pain, weakness, and potentially dark urine or even anuria. However, the most reliable biomarker for rhabdomyolysis is elevated serum creatine kinase levels. The primary goal in managing hydration is to correct intravascular volume depletion, with solutions such as Lactated Ringer’s or 0.9% saline being appropriate options for resuscitation. Perioperative diagnosis of rhabdomyolysis poses a significant challenge for anesthesiologists, requiring a high degree of clinical suspicion, particularly in bariatric patients. In this vulnerable population, prevention is crucial. The success of treatment depends on its early initiation; however, there are still significant limitations in the therapies available to prevent renal injury secondary to rhabdomyolysis.

Revista Chilena de Anestesia Vol. 53 Num. 5 pp. 488-494

Background/Objectives: Intraoperative hypotension (IOHs) affects up to 87% of patients under general anesthesia and is consistently associated with acute kidney injury, myocardial damage, stroke, and mortality. The intermittent unavailability of ephedrine across healthcare systems underscores the need for evidence-based alternatives. This review critically evaluates pharmacological options for IOH when ephedrine is unavailable, focusing on receptor pharmacodynamics, population-specific evidence, and clinical consequences of inadequately managed hypotension. Methods: A narrative, evidence-based review was conducted examining mechanisms of action, dosing strategies, adverse effect profiles, and clinical applicability of key vasoactive agents: ephedrine, phenylephrine, norepinephrine, and epinephrine. Population-specific evidence across obstetric, pediatric, and elderly cohorts was synthesized from randomized controlled trials, meta-analyses, and observational studies. The clinical impact of IOH on neurological, cardiovascular, and renal outcomes was reviewed. Results: Each vasopressor exhibits a distinct receptor-selectivity profile that determines its hemodynamic effect and optimal clinical context. Norepinephrine’s favorable α1/β1 balance tends to preserve cardiac output better than pure α1-agonists and has emerged as a promising alternative in obstetric and elderly populations, although the optimal agent ultimately depends on the underlying mechanism of hypotension and individual patient characteristics. Epinephrine provides combined vasopressor and inotropic support for hypotension with myocardial depression. IOH is associated with a greater than twofold increase in postoperative AKI and significantly elevated risks of myocardial infarction and stroke, with outcomes driven by cumulative hypotensive exposure rather than isolated pressure nadirs. Conclusions: Effective management of IOH requires individualized vasopressor selection guided by underlying pathophysiology, cardiovascular profile, and surgical context. A physiology-based strategy—rather than protocol-driven drug substitution—enables anesthesiologists to achieve precise hemodynamic control and preserve end-organ perfusion even when ephedrine is unavailable.