Do multiple types of confirmatory tests improve performance in predicting subtypes of primary aldosteronism?

被引:0
|
作者
Kaneko, Hiroki [1 ]
Umakoshi, Hironobu [1 ,6 ]
Fukumoto, Tazuru [1 ]
Wada, Norio [2 ]
Ichijo, Takamasa [3 ]
Sakamoto, Shohei [4 ]
Watanabe, Tetsuhiro [4 ]
Ishihara, Yuki [5 ]
Tagami, Tetsuya [5 ]
Ogata, Masatoshi [1 ]
Iwahashi, Norifusa [1 ]
Yokomoto-Umakoshi, Maki [1 ]
Matsuda, Yayoi [1 ]
Sakamoto, Ryuichi [1 ]
Ogawa, Yoshihiro [1 ,6 ]
机构
[1] Kyushu Univ, Grad Sch Med Sci, Dept Med & Bioregulatory Sci, Fukuoka, Japan
[2] Sapporo City Gen Hosp, Dept Diabet & Endocrinol, Sapporo, Japan
[3] Saiseikai Yokohamashi Tobu Hosp, Dept Diabet & Endocrinol, Yokohama, Japan
[4] Natl Hosp Org Kyushu Med Ctr, Dept Metab & Endocrinol, Fukuoka, Japan
[5] Natl Hosp Org Kyoto Med Ctr, Dept Endocrinol & Metab, Kyoto, Japan
[6] Kyushu Univ, Grad Sch Med Sci, Dept Med & Bioregulatory Sci, 3-1-1 Maidashi, Higashi ku, Fukuoka 8128582, Japan
基金
日本学术振兴会;
关键词
adrenal cortex function tests; adrenocortical adenoma; artificial intelligence; hyperaldosteronism; hypertension; machine learning; renin-angiotensin system; SALINE INFUSION TEST; DIAGNOSIS; PREVALENCE; CAPTOPRIL;
D O I
10.1111/cen.14854
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveThe clinical practice guideline for primary aldosteronism (PA) places a high value on confirmatory tests to sparing patients with false-positive results in case detection from undergoing adrenal venous sampling (AVS). However, it is unclear whether multiple types of confirmatory tests are more useful than a single type. To evaluate whether the machine-learned combination of two confirmatory tests is more useful in predicting subtypes of PA than each test alone. DesignA retrospective cross-sectional study in referral centres. PatientsThis study included 615 patients with PA randomly assigned to the training and test data sets. The participants underwent saline infusion test (SIT) and captopril challenge test (CCT) and were subtyped by AVS (unilateral, n = 99; bilateral, n = 516). MeasurementsThe area under the curve (AUC) and clinical usefulness using decision curve analysis for the subtype prediction in the test data set. ResultsThe AUCs for the combination of SIT and CCT, SIT alone and CCT alone were 0.850, 0.813 and 0.786, respectively, with no significant differences between them. The AUC for the baseline clinical characteristics alone was 0.872, whereas the AUCs for these combined with SIT, combined with CCT and combined with both SIT and CCT were 0.868, 0.854 and 0.855, respectively, with no significant improvement in AUC. The additional clinical usefulness of the second confirmatory test was unremarkable on decision curve analysis. ConclusionsOur data suggest that patients with positive case detection undergo one confirmatory test to determine the indication for AVS.
引用
收藏
页码:473 / 480
页数:8
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