原发性醛固酮增多症
医学
促肾上腺皮质激素
下腔静脉
醛固酮
内科学
泌尿科
激素
作者
X. Zhang,Xiaoyu Shu,Feifei Wu,Jun Yang,Qingfeng Cheng,Zhipeng Du,Ying Song,Yi Yang,Jinbo Hu,Yue Wang,Qifu Li,Shumin Yang
标识
DOI:10.1097/hjh.0000000000003612
摘要
Objective: Adrenal venous sampling (AVS) is recommended for identifying the subtype of primary aldosteronism before making a surgical treatment decision, but failed cannulation of one adrenal vein is common. To evaluate whether using results of one adrenal vein during AVS could accurately predict unilateral primary aldosteronism. Methods: A retrospective study was conducted in primary aldosteronism patients receiving bilaterally or unilaterally successful AVS. The aldosterone–cortisol ratio from the adrenal vein divided by the aldosterone–cortisol ratio from the inferior vena cava (IVC) was calculated as the AV/IVC index. Results: The study examined 455 patients with primary aldosteronism, including 347 patients with unilateral primary aldosteronism. Among them, 250 and 125 patients received non- adrenocorticotropic hormone (ACTH) and ACTH-stimulated AVS, respectively, and 80 patients received both forms of AVS. Under non-ACTH-stimulated AVS, AUC of the AV/IVC index to diagnose ipsilateral and contralateral primary aldosteronism were 0.778 and 0.924, respectively. The specificity was 100% for both, with sensitivities of 5 and 26%, respectively, when using cutoffs of 17.05 to diagnose ipsilateral primary aldosteronism and 0.15 to diagnose contralateral primary aldosteronism. When using cutoffs of 3.60 and 0.70, the specificity decreased, but if combined with CT results (ipsilateral or contralateral adrenal nodules larger than 10 mm), the specificity could be maintained at 99%, with sensitivities of 33 and 45%, respectively. Under ACTH-stimulated AVS, the AV/IVC index showed similar accuracy to diagnose ipsilateral and contralateral primary aldosteronism. Conclusion: The unilateral AV/IVC index can be used to diagnose unilateral primary aldosteronism during AVS. Combining CT results can increase the accuracy further.
科研通智能强力驱动
Strongly Powered by AbleSci AI