Can incomplete adrenal venous sampling data be used in predicting the subtype of primary aldosteronism?
| Autor: | Liang Zhou, Yuchun Zhu, Kunjie Wang, Yan Ren, Zhenghuan Liu, Jiaqi Li, Zhi-Hong Liu, Lede Lin, Yiding Guo, Tao Chen |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male China medicine.medical_specialty Hydrocortisone Urology department Endocrinology Diabetes and Metabolism Clinical Decision-Making Vena Cava Inferior 030209 endocrinology & metabolism Sensitivity and Specificity Inferior vena cava Veins 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Endocrinology Primary aldosteronism Adrenal Glands Hyperaldosteronism medicine Humans In patient Aldosterone Retrospective Studies Blood Specimen Collection business.industry General Medicine Gold standard (test) Middle Aged medicine.disease Adrenal venous sampling ROC Curve chemistry medicine.vein 030220 oncology & carcinogenesis cardiovascular system Adrenal veins Female Radiology business |
| Zdroj: | Annales d'Endocrinologie. 80:301-307 |
| ISSN: | 0003-4266 |
| Popis: | Background Adrenal venous sampling (AVS) is the gold standard for preoperative differentiation between unilateral and bilateral primary aldosteronism (PA). However, results are sometimes vitiated by failing to access the right adrenal vein. Materials and methods The present study assumed that clinical decisions can be made with incomplete AVS data, by comparing aldosterone/cortisol (A/C) ratio in both left and right adrenal veins with that in the inferior vena cava (LAV/IVC and RAV/IVC). Receiver operation characteristic (ROC) curve and scatterplot were used to certify the upper and lower cutoffs and to analyze the significance of discrimination. One hundred and sixty patients diagnosed with PA from April 2017 to June 2018 underwent AVS in the Urology Department of West China Hospital, Chengdu, China. One hundred and eleven with complete AVS data were divided into 3 groups: left-sided (N = 40), right-sided (N = 29) and bilateral (N = 42). We also collected patients from September 2018 to April 2019 in our department as validation cohort to test our hypothesis. Results On the basis of LAV/IVC, RAV/IVC and diagnostic category, upper cutoff was 1.14 (50% sensitivity and 100% specificity) and lower cutoff 0.07 (27.5% sensitivity and 100% specificity) for LAV/IVC, and 1.04 (55% sensitivity and 100% specificity) and 0.08 (40% sensitivity and 100% specificity), respectively, for RAV/IVC. Conclusion The diagnostic model in this study contributes to clinical decision-making in patients with only partial PA with incomplete AVS data. |
| Databáze: | OpenAIRE |
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