Department of Medicine, Faculty of Medicine and Surgery, Mater Dei Hospital, University of Malta, Msida, Malta.
Neuroendocrine Clinic, Department of Medicine, Mater Dei Hospital, Msida, Malta.
Hormones (Athens). 2022 Sep;21(3):467-476. doi: 10.1007/s42000-022-00384-9. Epub 2022 Jul 6.
To provide complete epidemiological data on Cushing's syndrome (CS) with analysis and differentiation of biochemical parameters, including blood count indices and serum inflammation-based scores.
Clinical records of 35 patients diagnosed with CS between 2008 and 2020 at Malta's only central National Health Service hospital were retrospectively analyzed. Detailed clinical and biochemical data were obtained for each patient. Correlation and receiver operator characteristics (ROC) curve analyses were used to establish a threshold value for different variables to predict malignant CS.
Standardized incidence rate (SIR) (/million/year) of CS was 4.5, and SIR of Cushing's disease (CD) was 2.3, 0.5 for ectopic CS, 1.5 for cortisol secreting adrenal adenoma, and 0.3 cases for cortisol-producing ACC. Malignant cause of CS had statistically significantly higher cortisol levels and size of tumor and lower potassium at diagnosis (P < 0.001). Additionally, malignant causes had a higher neutrophil-to-lymphocyte ratio (NLR) (P = 0.001) and systemic immune inflammation index (P = 0.005) and a lower lymphocyte-to-monocyte ratio (P < 0.001). Using ROC curve analysis to predict malignant cause of CS, a potassium level of < 3.05 was 75% sensitive and 100% specific (ROC-AUC 0.907, P = 0.001), a post-ODST cortisol level of > 841 nmol/L was 100% sensitive and 91% specific (ROC-AUC 0.981, P < 0.001), while a NLR ratio > 3.9 was 100% sensitive and 57.7% specific (ROC-AUC 0.885, P = 0.001).
Biochemical and blood count indices and serum inflammatory-based scores differ remarkably between benign and malignant causes of endogenous CS. Such indices can help predict the severity of disease and prognosis.
提供库欣综合征(CS)的完整流行病学数据,并对生化参数进行分析和区分,包括血细胞计数指数和基于血清炎症的评分。
回顾性分析了 2008 年至 2020 年期间在马耳他唯一的中央国家卫生服务医院被诊断为 CS 的 35 名患者的临床记录。为每位患者获得了详细的临床和生化数据。使用相关分析和接收者操作特征(ROC)曲线分析来建立不同变量的阈值,以预测恶性 CS。
CS 的标准化发病率(SIR)(/百万/年)为 4.5,其中库欣病(CD)的 SIR 为 2.3,异位 CS 为 0.5,皮质醇分泌性肾上腺腺瘤为 1.5,皮质醇产生性 ACC 为 0.3 例。CS 的恶性病因在诊断时具有统计学上显著更高的皮质醇水平和肿瘤大小以及更低的血钾(P<0.001)。此外,恶性病因的中性粒细胞与淋巴细胞比值(NLR)更高(P=0.001)和全身性免疫炎症指数(P=0.005),淋巴细胞与单核细胞比值更低(P<0.001)。使用 ROC 曲线分析预测 CS 的恶性病因,血钾<3.05 的敏感性为 75%,特异性为 100%(ROC-AUC 0.907,P=0.001),术后 ODST 皮质醇水平>841 nmol/L 的敏感性为 100%,特异性为 91%(ROC-AUC 0.981,P<0.001),而 NLR 比值>3.9 的敏感性为 100%,特异性为 57.7%(ROC-AUC 0.885,P=0.001)。
内源性 CS 的良性和恶性病因之间的生化和血细胞计数指数以及基于血清炎症的评分差异显著。这些指标有助于预测疾病的严重程度和预后。