European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology · 2024
Robot-assisted versus laparoscopic pheochromocytoma resection and construction of a nomogram to predict perioperative hemodynamic instability.
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Huang Hao, Sun Ting, Liu Ziwen
Аннотация
BACKGROUND: Despite recent improvements in perioperative outcomes after pheochromocytoma resection, hemodynamic instability (HI) remained of high concern. The emergence of robot-assisted surgery may bring different results to pheochromocytoma surgery. The purposes of this study were to investigate whether robot-assisted retroperitoneal pheochromocytoma resection promotes hemodynamic instability compared with laparoscopic retroperitoneal pheochromocytoma resection and construct a nomogram to predict perioperative hemodynamic instability.
METHODS: The clinical data of 221 patients who underwent pheochromocytoma resection were analyzed retrospectively. The patients were divided into two groups according to the mode of operation. Stepwise logistic regression was used to determine the independent risk factors of perioperative hemodynamic instability and to construct a visual prediction model. The final model was visualized via a nomogram.
RESULTS: 124 (56.1 %) out of 221 patients experienced HI. The variables that were eventually included in the model were tumor size (OR1.363(1.143-1.646), P < 0.001), abnormal blood glucose (OR3.381(1.534-7.903), P = 0.003), preoperative SBP(OR1.04(1.014-1.067),P = 0.002), robot-assisted surgery(OR0.241(0.108-0.513),P < 0.001), and catecholamines(OR4.567(2.424-8.834),P < 0.001). The receiver operating characteristic curve showed the area under curve was 0.816(95 %CI 0.761-0.871).
CONCLUSION: We developed a nomogram for successful prediction of perioperative hemodynamics based on five independent risk factors. Clinicians can leverage this easy-to-use nomogram to perform personalized risk predictions for HI and develop preventive interventions to improve patient safety and surgical outcomes.
METHODS: The clinical data of 221 patients who underwent pheochromocytoma resection were analyzed retrospectively. The patients were divided into two groups according to the mode of operation. Stepwise logistic regression was used to determine the independent risk factors of perioperative hemodynamic instability and to construct a visual prediction model. The final model was visualized via a nomogram.
RESULTS: 124 (56.1 %) out of 221 patients experienced HI. The variables that were eventually included in the model were tumor size (OR1.363(1.143-1.646), P < 0.001), abnormal blood glucose (OR3.381(1.534-7.903), P = 0.003), preoperative SBP(OR1.04(1.014-1.067),P = 0.002), robot-assisted surgery(OR0.241(0.108-0.513),P < 0.001), and catecholamines(OR4.567(2.424-8.834),P < 0.001). The receiver operating characteristic curve showed the area under curve was 0.816(95 %CI 0.761-0.871).
CONCLUSION: We developed a nomogram for successful prediction of perioperative hemodynamics based on five independent risk factors. Clinicians can leverage this easy-to-use nomogram to perform personalized risk predictions for HI and develop preventive interventions to improve patient safety and surgical outcomes.