Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ziemssenstraße 1, 80336, Munich, Germany.
Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Lindwurmstr. 4, 80337, Munich, Germany.
Sci Rep. 2021 May 27;11(1):11181. doi: 10.1038/s41598-021-90901-4.
Treatment of choice in patients with unilateral aldosterone producing adenoma (APA) is adrenalectomy. Following surgery, most patients retain normal adrenal function, while some develop adrenal insufficiency (AI). To facilitate early detection and treatment of AI, we aimed to identify variables measured pre-operatively that are associated with post-operative AI. Variables obtained from 66 patients before and after surgery included anthropometrical data, clinical chemistry, endocrine work-up. LC-MS/MS steroid hormone profiles from tests before surgery (ACTH-stimulation, saline infusion, dexamethasone suppression) were obtained. Based on 78 variables, machine-learning methods were used in model fitting for classification and regression to predict ACTH-stimulated cortisol after surgery. Among the 78 variables, insulin concentration during pre-operative oral glucose tolerance test (OGTT) correlated positively, and dexamethasone suppressed glucocorticoids correlated negatively with ACTH-stimulated cortisol after surgery. Inclusion of LC-MS/MS measurements allowed construction of better models associated with the occurrence of AI in the training data, but did not allow reliable prediction in cross-validation. Our results suggest that glucocorticoid co-secretion (low insulin during pre-operative OGTT and insufficient suppression of glucocorticoids following dexamethasone) are correlated with the development of post-operative AI. Addition of steroid profiles improved the accuracy of prediction, but cross validation revealed lack of reliability in the prediction of AI.
治疗单侧醛固酮分泌腺瘤(APA)患者的首选方法是肾上腺切除术。手术后,大多数患者保留正常的肾上腺功能,而有些患者则会出现肾上腺功能不全(AI)。为了便于早期发现和治疗 AI,我们旨在确定与术后 AI 相关的术前测量变量。从手术前后的 66 名患者中获得了人体测量学数据、临床化学、内分泌检查等变量。术前(ACTH 刺激、盐水输注、地塞米松抑制)获得了 LC-MS/MS 类固醇激素谱测试。基于 78 个变量,使用机器学习方法进行模型拟合,以进行分类和回归,预测术后 ACTH 刺激的皮质醇。在 78 个变量中,术前口服葡萄糖耐量试验(OGTT)期间的胰岛素浓度呈正相关,地塞米松抑制的糖皮质激素与术后 ACTH 刺激的皮质醇呈负相关。纳入 LC-MS/MS 测量结果可以构建与训练数据中 AI 发生相关的更好模型,但在交叉验证中无法进行可靠预测。我们的结果表明,糖皮质激素共分泌(术前 OGTT 期间胰岛素水平低,地塞米松抑制后糖皮质激素不足)与术后 AI 的发展相关。类固醇谱的添加提高了预测的准确性,但交叉验证显示 AI 预测的可靠性不足。