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About

Maykel Dolorit is a clinical researcher whose work focuses on refining perioperative outcomes in thoracic surgery, particularly through the lens of robotic-assisted pulmonary lobectomy. His investigations center on two critical areas: the role of preoperative pulmonary function in surgical recovery and the inflammatory mechanisms underlying postoperative complications. Dolorit’s 2023 study on preoperative pulmonary function and perioperative outcomes, which has garnered 4 citations, provides actionable insights for patient selection and risk stratification in robotic thoracic procedures. His 2022 work, cited 3 times, breaks new ground by linking new-onset postoperative atrial fibrillation (POAF)—a common and costly arrhythmia—to systemic inflammation following robotic-assisted lobectomy. By identifying leukocyte and prealbumin levels as predictive biomarkers, Dolorit offers a pathway to earlier intervention and reduced hospital stays. These contributions, though early in their citation impact, address a pressing need for evidence-based protocols in minimally invasive thoracic surgery. Dolorit’s research is particularly notable for its translational potential, bridging surgical technique with patient physiology to improve recovery trajectories. His work stands as a foundation for future studies on inflammation-driven complications in robotic surgery.