Endocrinology and Metabolism

Original Article

Adrenal Gland
Outcome-Based Decision-Making Algorithm for Treating Patients with Primary Aldosteronism: Jung Hee Kim, Chang Ho Ahn, Su Jin Kim, Kyu Eun Lee, Jong Woo Kim, Hyun-Ki Yoon, Yu-Mi Lee, Tae-Yon Sung, Sang Wan Kim, Chan Soo Shin, Jung-Min Koh, Seung Hun Lee; Endocrinol Metab. 2022;37(2):369-382. Published online April 14, 2022; DOI: https://doi.org/10.3803/EnM.2022.1391

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Background
Optimal management of primary aldosteronism (PA) is crucial due to the increased risk of cardiovascular and cerebrovascular diseases. Adrenal venous sampling (AVS) is the gold standard method for determining subtype but is technically challenging and invasive. Some PA patients do not benefit clinically from surgery. We sought to develop an algorithm to improve decision- making before engaging in AVS and surgery in clinical practice.
Methods
We conducted the ongoing Korean Primary Aldosteronism Study at two tertiary centers. Study A involved PA patients with successful catheterization and a unilateral nodule on computed tomography and aimed to predict unilateral aldosterone-producing adenoma (n=367). Study B involved similar patients who underwent adrenalectomy and aimed to predict postoperative outcome (n=330). In study A, we implemented important feature selection using the least absolute shrinkage and selection operator regression.
Results
We developed a unilateral PA prediction model using logistic regression analysis: lowest serum potassium level ≤3.4 mEq/L, aldosterone-to-renin ratio ≥150, plasma aldosterone concentration ≥30 ng/mL, and body mass index <25 kg/m2 (area under the curve, 0.819; 95% confidence interval, 0.774 to 0.865; sensitivity, 97.6%; specificity, 25.5%). In study B, we identified female, hypertension duration <5 years, anti-hypertension medication <2.5 daily defined dose, and the absence of coronary artery disease as predictors of clinical success, using stepwise logistic regression models (sensitivity, 94.2%; specificity, 49.3%). We validated our algorithm in the independent validation dataset (n=53).
Conclusion
We propose this new outcome-driven diagnostic algorithm, simultaneously considering unilateral aldosterone excess and clinical surgical benefits in PA patients.

Citations

Citations to this article as recorded by

Subtype-specific Body Composition and Metabolic Risk in Patients With Primary Aldosteronism
Seung Shin Park, Chang Ho Ahn, Sang Wan Kim, Ji Won Yoon, Jung Hee Kim
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e788. CrossRef
Prognostic models to predict complete resolution of hypertension after adrenalectomy in primary aldosteronism: A systematic review and meta‐analysis
Luigi Marzano, Amir Kazory, Faeq Husain‐Syed, Claudio Ronco
Clinical Endocrinology.2023; 99(1): 17. CrossRef
2023 Korean Endocrine Society Consensus Guidelines for the Diagnosis and Management of Primary Aldosteronism
Jeonghoon Ha, Jung Hwan Park, Kyoung Jin Kim, Jung Hee Kim, Kyong Yeun Jung, Jeongmin Lee, Jong Han Choi, Seung Hun Lee, Namki Hong, Jung Soo Lim, Byung Kwan Park, Jung-Han Kim, Kyeong Cheon Jung, Jooyoung Cho, Mi-kyung Kim, Choon Hee Chung
Endocrinology and Metabolism.2023; 38(6): 597. CrossRef
Correlation of Histopathologic Subtypes of Primary Aldosteronism with Clinical Phenotypes and Postsurgical Outcomes
Chang Ho Ahn, You-Bin Lee, Jae Hyeon Kim, Young Lyun Oh, Jung Hee Kim, Kyeong Cheon Jung
The Journal of Clinical Endocrinology & Metabolism.2023;[Epub] CrossRef

Response

Adrenal Gland
Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age (Endocrinol Metab 2021;36:401-12, Seung Hun Lee et al.): Seung Hun Lee, Jong Woo Kim, Hyun-Ki Yoon, Jung-Min Koh, Chan Soo Shin, Sang Wan Kim, Jung Hee Kim; Endocrinol Metab. 2021;36(4):914-915. Published online August 27, 2021; DOI: https://doi.org/10.3803/EnM.2021.402; [Original]

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Citations

Citations to this article as recorded by

Strategies for subtyping primary aldosteronism
Yun-Hsuan Yang, Yu-Ling Chang, Bo-Ching Lee, Ching-Chu Lu, Wei-Ting Wang, Ya-Hui Hu, Han-Wen Liu, Yung-Hsiang Lin, Chin-Chen Chang, Wan-Chen Wu, Fen-Yu Tseng, Yen-Hung Lin, Vin-Cent Wu, Chii-Min Hwu
Journal of the Formosan Medical Association.2024; 123: S114. CrossRef
Diagnostic consistency between computed tomography and adrenal vein sampling of primary aldosteronism: leading to successful curative outcome after adrenalectomy; a retrospective study
Byung-Chang Kim, Hyun-Ki Yoon, Kye Jin Park, Gun Ha Kim, Shin Jeong Pak, Douk Kwon, Jae Won Cho, Won Woong Kim, Yu-Mi Lee, Jung-Min Koh, Seung Hun Lee, Ki-Wook Chung, Tae-Yon Sung
International Journal of Surgery.2024; 110(2): 839. CrossRef

Original Article

Clinical Study
Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age: Seung Hun Lee, Jong Woo Kim, Hyun-Ki Yoon, Jung-Min Koh, Chan Soo Shin, Sang Wan Kim, Jung Hee Kim; Endocrinol Metab. 2021;36(2):401-412. Published online March 31, 2021; DOI: https://doi.org/10.3803/EnM.2020.901

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158 Download
17 Web of Science
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Abstract PDF Supplementary Material PubReader ePub

Background
Guidelines by the Endocrine Society Guideline on bypassing adrenal vein sampling (AVS) in patients <35 years old with marked primary aldosteronism (PA) (hypokalemia and elevated plasma aldosterone concentration [PAC]) and a unilateral lesion on computed tomography (CT) are based on limited number of studies. We aimed to determine the accuracy of CT in PA patients according to age.
Methods
In this retrospective study, we investigated the concordance between CT and AVS in 466 PA patients from two tertiary centers who successfully underwent AVS.
Results
CT had an overall accuracy of 64.4% (300/466). In the group with unilateral lesion, patients with hypokalemia had higher concordance than those without hypokalemia (85.0% vs. 43.6%, P<0.001). In the group with marked PA (hypokalemia and PAC >15.9 ng/dL) and unilateral lesion, accuracy of CT was 84.6% (11/13) in patients aged <35 years; 100.0% (20/20), aged 35 to 39 years; 89.4% (59/66), aged 40 to 49 years; and 79.8% (79/99), aged ≥50 years. Cut-off age and PAC for concordance was <50 years and >29.6 ng/dL, respectively. The significant difference in accuracy of CT in 198 patients with marked PA and a unilateral lesion between the <50-year age group and ≥50-year age group (90.9% vs. 79.8%, P=0.044) disappeared in 139 of 198 patients with PAC > 30.0 ng/dL (91.9% vs. 87.7%, P=0.590).
Conclusion
Patients with hypokalemia, PAC >30.0 ng/dL, and unilateral lesion were at high risk of unilateral PA regardless of age.

Citations

Citations to this article as recorded by

Predicting Bilateral Subtypes of Primary Aldosteronism Without Adrenal Vein Sampling: A Systematic Review and Meta-analysis
Elisabeth Ng, Stella May Gwini, Winston Zheng, Peter J Fuller, Jun Yang
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e837. CrossRef
Subtype-specific Body Composition and Metabolic Risk in Patients With Primary Aldosteronism
Seung Shin Park, Chang Ho Ahn, Sang Wan Kim, Ji Won Yoon, Jung Hee Kim
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e788. CrossRef
Imaging Concordance With Vein Sampling for Primary Aldosteronism: A Cohort Study and Literature Review
Sara Cartwright, MaKayla Gordon, Jessica Shank, Abbey Fingeret
Journal of Surgical Research.2024; 296: 1. CrossRef
Best Practices: Indications and Procedural Controversies of Adrenal Vein Sampling for Primary Aldosteronism
Keith B. Quencer, Abhilasha Singh, Anu Sharma
American Journal of Roentgenology.2023; 220(2): 190. CrossRef
Accuracy of Gallium-68 Pentixafor Positron Emission Tomography–Computed Tomography for Subtyping Diagnosis of Primary Aldosteronism
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JAMA Network Open.2023; 6(2): e2255609. CrossRef
Adrenal Vein Sampling in the Young – Necessary or Not?
Eleftheria Gkaniatsa, Oskar Ragnarsson
Experimental and Clinical Endocrinology & Diabetes.2023; 131(07/08): 435. CrossRef
2023 Korean Endocrine Society Consensus Guidelines for the Diagnosis and Management of Primary Aldosteronism
Jeonghoon Ha, Jung Hwan Park, Kyoung Jin Kim, Jung Hee Kim, Kyong Yeun Jung, Jeongmin Lee, Jong Han Choi, Seung Hun Lee, Namki Hong, Jung Soo Lim, Byung Kwan Park, Jung-Han Kim, Kyeong Cheon Jung, Jooyoung Cho, Mi-kyung Kim, Choon Hee Chung
Endocrinology and Metabolism.2023; 38(6): 597. CrossRef
Correlation of Histopathologic Subtypes of Primary Aldosteronism with Clinical Phenotypes and Postsurgical Outcomes
Chang Ho Ahn, You-Bin Lee, Jae Hyeon Kim, Young Lyun Oh, Jung Hee Kim, Kyeong Cheon Jung
The Journal of Clinical Endocrinology & Metabolism.2023;[Epub] CrossRef
Indices of ACTH‐stimulated adrenal venous sampling as predictors of postsurgical outcomes in primary aldosteronism
Seung Hun Lee, Jong Woo Kim, Hyun‐Ki Yoon, Sang Wan Kim, Su Jin Kim, Kyu Eun Lee, Yu‐Mi Lee, Tae‐Yon Sung, Suck Joon Hong, Chan Soo Shin, Jung‐Min Koh, Jung Hee Kim
Clinical Endocrinology.2022; 96(4): 521. CrossRef
Expression of CYP11B1 and CYP11B2 in adrenal adenoma correlates with clinical characteristics of primary aldosteronism
Chang Ho Ahn, Hee Young Na, So Yeon Park, Hyeong Won Yu, Su‐Jin Kim, June Young Choi, Kyu Eun Lee, Sang Wan Kim, Kyeong Cheon Jung, Jung Hee Kim
Clinical Endocrinology.2022; 96(1): 30. CrossRef
Letter to the Editor From Singhania et al: “Increasing Incidence of Primary Aldosteronism in Western Sweden During 3 Decades—Yet an Underdiagnosed Disorder”
Pankaj Singhania, Rana Bhattacharjee
The Journal of Clinical Endocrinology & Metabolism.2022; 107(3): e1315. CrossRef
Development and validation of model for sparing adrenal venous sampling in diagnosing unilateral primary aldosteronism
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Journal of Hypertension.2022; 40(9): 1692. CrossRef
Validation of Existing Clinical Prediction Tools for Primary Aldosteronism Subtyping
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Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age (Endocrinol Metab 2021;36:401-12, Seung Hun Lee et al.)
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