Do multiple types of confirmatory tests improve performance in predicting subtypes of primary aldosteronism?
Do multiple types of confirmatory tests improve performance in predicting subtypes of primary aldosteronism?
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DOI：
10.1111/cen.14854
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发表时间：
2022-11
影响因子：
3.2
通讯作者：
Hiroki Kaneko;H. Umakoshi;T. Fukumoto;N. Wada;T. Ichijo;S. Sakamoto;Tetsuhiro Watanabe;Y. Ishihara;T. Tagami;M. Ogata;Norifusa Iwahashi;M. Yokomoto-Umakoshi;Y. Matsuda;R. Sakamoto;Y. Ogawa
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文献类型：
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作者：
Hiroki Kaneko;H. Umakoshi;T. Fukumoto;N. Wada;T. Ichijo;S. Sakamoto;Tetsuhiro Watanabe;Y. Ishihara;T. Tagami;M. Ogata;Norifusa Iwahashi;M. Yokomoto-Umakoshi;Y. Matsuda;R. Sakamoto;Y. Ogawa
原发性醛固酮增多症（PA）的临床实践指南高度重视确证性试验，以避免病例检测中出现假阳性结果的患者接受肾上腺静脉采样（AVS）。然而，目前还不清楚多种类型的验证性测试是否比单一类型更有用。评估两种验证性测试的机器学习组合在预测PA亚型方面是否比单独使用每种测试更有用。
The 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.