Gender potentially affects early postoperative hyponatremia in pituitary adenoma: XGBoost-based predictive modeling

作者：Zheng Peng, Xiao-Jian Li, Yunfeng Wang, Z W Li, Jie Wang, Chunlei Chen, Huiying Yan, Wei Jin, Yue Lu, Zong Zhuang, Chun‐Hua Hang, Wei Li · 发表于：Heliyon · 年份：2024 · DOI：10.1016/j.heliyon.2024.e28958 · 被引用次数：6 · 研究领域：Electrolyte and hormonal disorders、Pituitary Gland Disorders and Treatments、Adrenal Hormones and Disorders

Purpose The occurrence of hyponatremia is a prevalent complication following transnasal transsphenoidal surgery for pituitary adenoma surgery, which adversely affects patient prognosis, hospitalization duration, and rehospitalization risk. The primary objective of this study is to strengthen the correlation between clinical factors associated with pituitary adenoma and postoperative hyponatremia. Additionally, the study aims to develop a predictive model for postoperative hyponatremia in patients with pituitary adenoma, with the ultimate goal of establishing a basis for reducing the occurrence of postoperative hyponatremia following surgical interventions. Methods The chi-square test or Fisher test was employed for nominal data, while the t -test or Mann-Whitney test was utilized for continuous data analysis. In cases where the data exhibited statistical differences, binary logistic analysis was conducted to examine the risk and protective factors associated with postoperative hyponatremia. XGBoost was employed to construct predictive models for hyponatremia in this study. The patients were partitioned into training and test sets, and the most suitable parameters were determined through five-fold cross-validation and subsequently utilized for training on the training set. The discriminatory capability was assessed on the internal validation set. Results and conclusions Out of the total 280 patients included in this investigation, 82 patients experienced early postoperative hy...