Development and validation of a predictive model for predicting cardiovascular morbidity in patients after pheochromocytoma surgery
Clinical Endocrinology Jul 12, 2019
Bai S, et al. - Researchers conducted this investigation to develop and validate a model to predict cardiovascular morbidity after pheochromocytoma surgery. Participants in the study were 262 patients who had unilateral laparoscopic or open pheochromocytoma surgery between January 1, 2007, and December 31, 2016. Validation was conducted via an independent cohort with 112 consecutive patients from January 1, 2017 and December 31, 2018. Body mass index, history of coronary heart disease, tumor size, intra-operative hemodynamic instability, and use of crystal/colloid fluids pre-operatively were the predictors in this prediction model. The model exhibited good discrimination with an AUROC of 0.869 and good calibration in the validation cohort. In this research, a good nomogram was provided that could enable the pre-operative customized forecast of cardiovascular morbidity after pheochromocytoma surgery, which may help improve peri-operative strategy and excellent results. The model was clinically helpful as well, as seen via the decision curve analysis.
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