Endocrinology and Metabolism

Original Articles

Calcium & bone metabolism
Protein Signatures of Parathyroid Adenoma according to Tumor Volume and Functionality: Sung Hye Kong, Jeong Mo Bae, Jung Hee Kim, Sang Wan Kim, Dohyun Han, Chan Soo Shin; Endocrinol Metab. 2024;39(2):375-386. Published online March 21, 2024; DOI: https://doi.org/10.3803/EnM.2023.1827

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Abstract PDF Supplementary Material PubReader ePub: Background
Parathyroid adenoma (PA) is a common endocrine disease linked to multiple complications, but the pathophysiology of the disease remains incompletely understood. The study aimed to identify the key regulator proteins and pathways of PA according to functionality and volume through quantitative proteomic analyses.
Methods
We conducted a retrospective study of 15 formalin-fixed, paraffin-embedded PA samples from tertiary hospitals in South Korea. Proteins were extracted, digested, and the resulting peptides were analyzed using liquid chromatography-tandem mass spectrometry. Pearson correlation analysis was employed to identify proteins significantly correlated with clinical variables. Canonical pathways and transcription factors were analyzed using Ingenuity Pathway Analysis.
Results
The median age of the participants was 52 years, and 60.0% were female. Among the 8,153 protein groups analyzed, 496 showed significant positive correlations with adenoma volume, while 431 proteins were significantly correlated with parathyroid hormone (PTH) levels. The proteins SLC12A9, LGALS3, and CARM1 were positively correlated with adenoma volume, while HSP90AB2P, HLA-DRA, and SCD5 showed negative correlations. DCPS, IRF2BPL, and FAM98A were the main proteins that exhibited positive correlations with PTH levels, and SLITRK4, LAP3, and AP4E1 had negative correlations. Canonical pathway analysis demonstrated that the RAN and sirtuin signaling pathways were positively correlated with both PTH levels and adenoma volume, while epithelial adherence junction pathways had negative correlations.
Conclusion
Our study identified pivotal proteins and pathways associated with PA, offering potential therapeutic targets. These findings accentuate the importance of proteomics in understanding disease pathophysiology and the need for further research.

Hypothalamus and pituitary gland
Preoperative Serum Copeptin Can Predict Delayed Hyponatremia after Pituitary Surgery in the Absence of Arginine Vasopressin Deficiency: Ho Kang, Seung Shin Park, Yoo Hyung Kim, Hwan Sub Lim, Mi-Kyeong Lee, Kyoung-Ryul Lee, Jung Hee Kim, Yong Hwy Kim; Endocrinol Metab. 2024;39(1):164-175. Published online January 3, 2024; DOI: https://doi.org/10.3803/EnM.2023.1792

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Abstract PDF Supplementary Material PubReader ePub: Background
Delayed postoperative hyponatremia (DPH) is the most common cause of readmission after pituitary surgery. In this study, we aimed to evaluate the cutoff values of serum copeptin and determine the optimal timing for copeptin measurement for the prediction of the occurrence of DPH in patients who undergo endoscopic transsphenoidal approach (eTSA) surgery and tumor resection.
Methods
This was a prospective observational study of 73 patients who underwent eTSA surgery for pituitary or stalk lesions. Copeptin levels were measured before surgery, 1 hour after extubation, and on postoperative days 1, 2, 7, and 90.
Results
Among 73 patients, 23 patients (31.5%) developed DPH. The baseline ratio of copeptin to serum sodium level showed the highest predictive performance (area under the curve [AUROC], 0.699), and its optimal cutoff to maximize Youden’s index was 2.5×10^–11, with a sensitivity of 91.3% and negative predictive value of 92.0%. No significant predictors were identified for patients with transient arginine vasopressin (AVP) deficiency. However, for patients without transient AVP deficiency, the copeptin-to-urine osmolarity ratio at baseline demonstrated the highest predictive performance (AUROC, 0.725). An optimal cutoff of 6.5×10^–12 maximized Youden’s index, with a sensitivity of 92.9% and a negative predictive value of 94.1%.
Conclusion
The occurrence of DPH can be predicted using baseline copeptin and its ratio with serum sodium or urine osmolarity only in patients without transient AVP deficiency after pituitary surgery.

Special Article

Adrenal gland
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, The Committee of Clinical Practice Guideline of Korean Endocrine Society, The Korean Adrenal Study Group of Korean Endocrine Society; Endocrinol Metab. 2023;38(6):597-618. Published online October 13, 2023; DOI: https://doi.org/10.3803/EnM.2023.1789

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Primary aldosteronism (PA) is a common, yet underdiagnosed cause of secondary hypertension. It is characterized by an overproduction of aldosterone, leading to hypertension and/or hypokalemia. Despite affecting between 5.9% and 34% of patients with hypertension, PA is frequently missed due to a lack of clinical awareness and systematic screening, which can result in significant cardiovascular complications. To address this, medical societies have developed clinical practice guidelines to improve the management of hypertension and PA. The Korean Endocrine Society, drawing on a wealth of research, has formulated new guidelines for PA. A task force has been established to prepare PA guidelines, which encompass epidemiology, pathophysiology, clinical presentation, diagnosis, treatment, and follow-up care. The Korean clinical guidelines for PA aim to deliver an evidence-based protocol for PA diagnosis, treatment, and patient monitoring. These guidelines are anticipated to ease the burden of this potentially curable condition.

Citations

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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

Review Articles

Adrenal Gland
Recent Updates on the Management of Adrenal Incidentalomas: Seung Shin Park, Jung Hee Kim; Endocrinol Metab. 2023;38(4):373-380. Published online August 16, 2023; DOI: https://doi.org/10.3803/EnM.2023.1779

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Abstract PDF PubReader ePub: Adrenal incidentalomas represent an increasingly common clinical conundrum with significant implications for patients. The revised 2023 European Society of Endocrinology (ESE) guideline incorporates cutting-edge evidence for managing adrenal incidentalomas. This paper provides a concise review of the updated contents of the revised guideline. In the 2023 guideline, in patients without signs and symptoms of overt Cushing’s syndrome, a post-dexamethasone cortisol level above 50 nmol/L (>1.8 μg/dL) should be considered as mild autonomous cortisol secretion. Regarding the criteria of benign adrenal adenomas, a homogeneous adrenal mass with ≤10 Hounsfield units on non-contrast computed tomography requires no further follow-up, irrespective of its size. The updated guideline also discusses steroid metabolomics using tandem mass spectrometry to discriminate malignancy. It underscores the importance of high-volume surgeons performing adrenalectomy and emphasizes the pivotal role of a multidisciplinary team approach in deciding the treatment plan for indeterminate adrenal masses. The guideline advocates for more proactive surgical treatment for indeterminate adrenal masses in young patients (<40 years) and pregnant women. This review of the 2023 ESE guideline underscores the ongoing evolution of the adrenal incidentaloma management landscape, emphasizing the need for further research and adaptation of diagnostic and therapeutic strategies.

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database: Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee; Endocrinol Metab. 2023;38(1):10-24. Published online February 9, 2023; DOI: https://doi.org/10.3803/EnM.2023.102

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The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.

Citations

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Associations Between Physical Activity and the Risk of Hip Fracture Depending on Glycemic Status: A Nationwide Cohort Study
Kyoung Min Kim, Kyoung Jin Kim, Kyungdo Han, Yumie Rhee
The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1194. CrossRef
Weight change in patients with new‐onset type 2 diabetes mellitus and its association with remission: Comprehensive real‐world data
Jinyoung Kim, Bongseong Kim, Mee Kyoung Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
Diabetes, Obesity and Metabolism.2024; 26(2): 567. CrossRef
Diabetes severity and the risk of depression: A nationwide population-based study
Yunjung Cho, Bongsung Kim, Hyuk-Sang Kwon, Kyungdo Han, Mee Kyoung Kim
Journal of Affective Disorders.2024; 351: 694. CrossRef
Information Bias Might Exaggerate Lung Cancer Risk of Patients With Rheumatoid Arthritis
Nobuyuki Horita, Kaoru Takase-Minegishi
Journal of Thoracic Oncology.2024; 19(2): 348. CrossRef
Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim
Respiratory Research.2023;[Epub] CrossRef
Research on obesity using the National Health Information Database: recent trends
Eun-Jung Rhee
Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35. CrossRef
Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study
Jeonghoon Ha, Kyoung Min Kim, Dong-Jun Lim, Keeho Song, Gi Hyeon Seo
Journal of Clinical Medicine.2023; 12(14): 4799. CrossRef
Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
Endocrinology and Metabolism.2023; 38(4): 426. CrossRef
Prevalence, Treatment Status, and Comorbidities of Hyperthyroidism in Korea from 2003 to 2018: A Nationwide Population Study
Hwa Young Ahn, Sun Wook Cho, Mi Young Lee, Young Joo Park, Bon Seok Koo, Hang-Seok Chang, Ka Hee Yi
Endocrinology and Metabolism.2023; 38(4): 436. CrossRef
Is Thyroid Dysfunction Associated with Unruptured Intracranial Aneurysms? A Population-Based, Nested Case–Control Study from Korea
Hyeree Park, Sun Wook Cho, Sung Ho Lee, Kangmin Kim, Hyun-Seung Kang, Jeong Eun Kim, Aesun Shin, Won-Sang Cho
Thyroid®.2023; 33(12): 1483. CrossRef
Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
Endocrinology and Metabolism.2023; 38(5): 525. CrossRef
Risk of depression in patients with acromegaly in Korea (2006-2016): a nationwide population-based study
Shinje Moon, Sangmo Hong, Kyungdo Han, Cheol-Young Park
European Journal of Endocrinology.2023; 189(3): 363. CrossRef
Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
Scientific Reports.2023;[Epub] CrossRef
Long-Term Cumulative Exposure to High γ-Glutamyl Transferase Levels and the Risk of Cardiovascular Disease: A Nationwide Population-Based Cohort Study
Han-Sang Baek, Bongseong Kim, Seung-Hwan Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Sang-Ah Chang, Kyungdo Han, Jae-Seung Yun
Endocrinology and Metabolism.2023; 38(6): 770. CrossRef
Increased Risk of Hip Fracture in Patients with Acromegaly: A Nationwide Cohort Study in Korea
Jiwon Kim, Namki Hong, Jimi Choi, Ju Hyung Moon, Eui Hyun Kim, Eun Jig Lee, Sin Gon Kim, Cheol Ryong Ku
Endocrinology and Metabolism.2023; 38(6): 690. CrossRef

Brief Report

Adrenal Gland
A Novel Missense PRKAR1A Variant Causes Carney Complex: Boram Kim, Han Na Jang, Kyung Shil Chae, Ho Seop Shin, Yong Hwy Kim, Su Jin Kim, Moon-Woo Seong, Jung Hee Kim; Endocrinol Metab. 2022;37(5):810-815. Published online October 4, 2022; DOI: https://doi.org/10.3803/EnM.2022.1544

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The Carney complex (CNC) is an autosomal dominant disorder characterized by endocrine and nonendocrine tumors. Loss-of-function variants of protein kinase A regulatory subunit 1 alpha (PRKAR1A) are common causes of CNC. Here, we present the case of a patient with CNC with a novel PRKAR1A missense variant. A 21-year-old woman was diagnosed with CNC secondary to acromegaly and adrenal Cushing syndrome. Genetic analysis revealed a novel missense heterozygous variant of PRKAR1A (c.176A>T). Her relatives, suspected of having CNC, also carried the same variant. RNA analysis revealed that this variant led to nonsense-mediated mRNA decay. In vitro functional analysis of the variant confirmed its role in increasing protein kinase A activity and cyclic adenosine monophosphate levels. This study broadens our understanding of the genetic spectrum of CNC. We suggest that PRKAR1A genetic testing and counseling be recommended for patients with CNC and their families.

Citations

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Carney complex: A clinicopathologic study on a single family from several Canadian provinces
Alexandra Lao, Julio Silva, Brian Chiu, Consolato M. Sergi
Cardiovascular Pathology.2024; 69: 107599. CrossRef

Original Articles

Calcium & Bone Metabolism
Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm: Sung Hye Kong, Jae-Won Lee, Byeong Uk Bae, Jin Kyeong Sung, Kyu Hwan Jung, Jung Hee Kim, Chan Soo Shin; Endocrinol Metab. 2022;37(4):674-683. Published online August 5, 2022; DOI: https://doi.org/10.3803/EnM.2022.1461

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Background
Since image-based fracture prediction models using deep learning are lacking, we aimed to develop an X-ray-based fracture prediction model using deep learning with longitudinal data.
Methods
This study included 1,595 participants aged 50 to 75 years with at least two lumbosacral radiographs without baseline fractures from 2010 to 2015 at Seoul National University Hospital. Positive and negative cases were defined according to whether vertebral fractures developed during follow-up. The cases were divided into training (n=1,416) and test (n=179) sets. A convolutional neural network (CNN)-based prediction algorithm, DeepSurv, was trained with images and baseline clinical information (age, sex, body mass index, glucocorticoid use, and secondary osteoporosis). The concordance index (C-index) was used to compare performance between DeepSurv and the Fracture Risk Assessment Tool (FRAX) and Cox proportional hazard (CoxPH) models.
Results
Of the total participants, 1,188 (74.4%) were women, and the mean age was 60.5 years. During a mean follow-up period of 40.7 months, vertebral fractures occurred in 7.5% (120/1,595) of participants. In the test set, when DeepSurv learned with images and clinical features, it showed higher performance than FRAX and CoxPH in terms of C-index values (DeepSurv, 0.612; 95% confidence interval [CI], 0.571 to 0.653; FRAX, 0.547; CoxPH, 0.594; 95% CI, 0.552 to 0.555). Notably, the DeepSurv method without clinical features had a higher C-index (0.614; 95% CI, 0.572 to 0.656) than that of FRAX in women.
Conclusion
DeepSurv, a CNN-based prediction algorithm using baseline image and clinical information, outperformed the FRAX and CoxPH models in predicting osteoporotic fracture from spine radiographs in a longitudinal cohort.

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Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field
Li-Wei Cheng, Hsin-Hung Chou, Yu-Xuan Cai, Kuo-Yuan Huang, Chin-Chiang Hsieh, Po-Lun Chu, I-Szu Cheng, Sun-Yuan Hsieh
Neurocomputing.2024; 566: 126946. CrossRef
Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis
Baisen Chen, Jiaming Cui, Chaochen Li, Pengjun Xu, Guanhua Xu, Jiawei Jiang, Pengfei Xue, Yuyu Sun, Zhiming Cui
Journal of Orthopaedic Research.2024;[Epub] CrossRef
Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis
Satoshi Maki, Takeo Furuya, Masahiro Inoue, Yasuhiro Shiga, Kazuhide Inage, Yawara Eguchi, Sumihisa Orita, Seiji Ohtori
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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture
Yisak Kim, Young-Gon Kim, Jung-Wee Park, Byung Woo Kim, Youmin Shin, Sung Hye Kong, Jung Hee Kim, Young-Kyun Lee, Sang Wan Kim, Chan Soo Shin
Radiology.2024;[Epub] CrossRef
A Novel QCT-Based Deep Transfer Learning Approach for Predicting Stiffness Tensor of Trabecular Bone Cubes
Pengwei Xiao, Tinghe Zhang, Yufei Huang, Xiaodu Wang
IRBM.2024; 45(2): 100831. CrossRef
Deep learning in the radiologic diagnosis of osteoporosis: a literature review
Yu He, Jiaxi Lin, Shiqi Zhu, Jinzhou Zhu, Zhonghua Xu
Journal of International Medical Research.2024;[Epub] CrossRef
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Min Wook Joo, Taehoon Ko, Min Seob Kim, Yong-Suk Lee, Seung Han Shin, Yang-Guk Chung, Hong Kwon Lee
Clinical Orthopaedics & Related Research.2023; 481(11): 2247. CrossRef
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT
Sophia S. Goller, Jon F. Rischewski, Thomas Liebig, Jens Ricke, Sebastian Siller, Vanessa F. Schmidt, Robert Stahl, Julian Kulozik, Thomas Baum, Jan S. Kirschke, Sarah C. Foreman, Alexandra S. Gersing
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Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study
Kainat A. Ullah, Faisal Rehman, Muhammad Anwar, Muhammad Faheem, Naveed Riaz
Health Science Reports.2023;[Epub] CrossRef
Skeletal Fracture Detection with Deep Learning: A Comprehensive Review
Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin, Masri Ayob, Gauthamen Punganan
Diagnostics.2023; 13(20): 3245. CrossRef
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI
Sang Won Jo, Eun Kyung Khil, Kyoung Yeon Lee, Il Choi, Yu Sung Yoon, Jang Gyu Cha, Jae Hyeok Lee, Hyunggi Kim, Sun Yeop Lee
Scientific Reports.2023;[Epub] CrossRef
Vertebra Segmentation Based Vertebral Compression Fracture Determination from Reconstructed Spine X-Ray Images
Srinivasa Rao Gadu, Chandra Sekhar Potala
International Journal of Electrical and Electronics Research.2023; 11(4): 1225. CrossRef
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Anthony K. Allam, Adrish Anand, Alex R. Flores, Alexander E. Ropper
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A Meaningful Journey to Predict Fractures with Deep Learning
Jeonghoon Ha
Endocrinology and Metabolism.2022; 37(4): 617. CrossRef
New Horizons: Artificial Intelligence Tools for Managing Osteoporosis
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The Journal of Clinical Endocrinology & Metabolism.2022;[Epub] CrossRef

Calcium & Bone Metabolism
Effect of Vitamin D Supplementation on Risk of Fractures and Falls According to Dosage and Interval: A Meta-Analysis: Sung Hye Kong, Han Na Jang, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin; Endocrinol Metab. 2022;37(2):344-358. Published online April 25, 2022; DOI: https://doi.org/10.3803/EnM.2021.1374

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Background
Although recent studies comparing various dosages and intervals of vitamin D supplementation have been published, it is yet to be elucidated whether there is an appropriate dose or interval to provide benefit regarding fracture risk. We aimed to assess the published evidence available to date regarding the putative beneficial effects of vitamin D supplements on fractures and falls according to various dosages and intervals.
Methods
We performed a meta-analysis of randomized controlled studies reporting associations between vitamin D supplementation and the risks of fractures and falls in PubMed, EMBASE, and Cochrane library. Studies with supplements of ergocalciferol or calcitriol, those with a number of event ≤10, or those with a follow-up duration of less than 6 months were also excluded.
Results
Thirty-two studies were included in the final analysis. Vitamin D supplementation with daily dose of 800 to 1,000 mg was associated with lower risks of osteoporotic fracture and fall (pooled relative risk [RR], 0.87; 95% confidence interval [CI], 0.78 to 0.97 and RR, 0.91; 95% CI, 0.85 to 0.98), while studies with <800 or >1,000 mg/day did not. Also, among intervals, daily administration of vitamin D was associated with the reduced risk of falls, while intermittent dose was not. Also, patients with vitamin D deficiency showed a significant risk reduction of falls after vitamin D supplementation.
Conclusion
Daily vitamin D dose of 800 to 1,000 IU was the most probable way to reduce the fracture and fall risk. Further studies designed with various regimens and targeted vitamin D levels are required to elucidate the benefits of vitamin D supplements.

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Ukrainian Consensus on Diagnosis and Management of Vitamin D Deficiency in Adults
Nataliia Grygorieva, Mykola Tronko, Volodymir Kovalenko, Serhiy Komisarenko, Tetiana Tatarchuk, Ninel Dedukh, Mykola Veliky, Serhiy Strafun, Yulia Komisarenko, Andrii Kalashnikov, Valeria Orlenko, Volodymyr Pankiv, Oleg Shvets, Inna Gogunska, Svitlana Reg
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Lamia Aldhbiban, Fai Alhoshan, Raghad Alomari, Shahad A Almatrafi, Yousef Alanazi, Samir Alsayegh, Haifa Y Alfaraidi, Ayman H Jawadi, Fahad N Aljuraibah
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Christos Konstantinidis, Ourania Psoma, Christos Kotsias, Vasileios Panagiotopoulos , Sotiris Plakoutsis, Dimitrios Tsiampas, Dimitrios Vardakas, Dimitrios Giotis
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Safety Profile of Vitamin D in Italy: An Analysis of Spontaneous Reports of Adverse Reactions Related to Drugs and Food Supplements
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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.

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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

Adrenal Gland Big Data Articles (National Health Insurance Service Database)
Epidemiology and Long-Term Adverse Outcomes in Korean Patients with Congenital Adrenal Hyperplasia: A Nationwide Study: Jung Hee Kim, Sunkyu Choi, Young Ah Lee, Juneyoung Lee, Sin Gon Kim; Endocrinol Metab. 2022;37(1):138-147. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2021.1328

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Background
Previous studies on the epidemiology and complications of congenital adrenal hyperplasia (CAH) were conducted in Western countries and in children/adolescents. We aimed to explore the epidemiology of CAH, as well as the risk of comorbidities and mortality, in a Korean nationwide case-control study.
Methods
CAH patients (n=2,840) were included between 2002 and 2017 from the National Health Insurance Service database and the Rare Intractable Disease program. CAH patients were compared, at a 1:10 ratio, with age-, sex-, and index year-matched controls (n=28,400).
Results
The point prevalence of CAH patients in Korea was 1 in 18,745 persons in 2017. The annual incidence rate declined between 2003 and 2017 from 3.25 to 0.41 per 100,000 persons. CAH patients were at elevated risk for cardiovascular disease (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.4 to 1.9), stroke (OR, 1.7; 95% CI, 1.3 to 2.0), diabetes mellitus (OR, 2.8; 95% CI, 2.6 to 3.1), dyslipidemia (OR, 2.4; 95% CI, 2.2 to 2.6), and psychiatric disorders (OR, 1.5; 95% CI, 1.3 to 1.6). Fracture risk increased in CAH patients aged over 40 years (OR, 1.4; 95% CI, 1.1 to 1.7). CAH patients were at higher risk of mortality than controls (hazard ratio, 1.6; 95% CI, 1.3 to 2.0).
Conclusion
Our nationwide study showed a recent decline in the incidence of CAH and an elevated risk for cardiovascular, metabolic, skeletal, and psychiatric disorders in CAH patients. Lifelong management for comorbidity risk is a crucial component of treating CAH patients.

Citations

Citations to this article as recorded by

Predictors of Cardiovascular Morbidities in Adults With 21-Hydroxylase Deficiency Congenital Adrenal Hyperplasia
Suranut Charoensri, Richard J Auchus
The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1133. CrossRef
Анализ распространенности и заболеваемости надпочечниковой недостаточностью в мире
М. Ю. Юкина, Н. Ф. Нуралиева, Е. А. Трошина
Ateroscleroz.2023; 18(4): 426. CrossRef
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinology and Metabolism.2023; 38(1): 10. CrossRef
Long-term cardiometabolic morbidity in young adults with classic 21-hydroxylase deficiency congenital adrenal hyperplasia
Beatrice Righi, Salma R. Ali, Jillian Bryce, Jeremy W. Tomlinson, Walter Bonfig, Federico Baronio, Eduardo C. Costa, Guilherme Guaragna-Filho, Guy T’Sjoen, Martine Cools, Renata Markosyan, Tania A. S. S. Bachega, Mirela C. Miranda, Violeta Iotova, Henrik
Endocrine.2023; 80(3): 630. CrossRef
Serum steroid profile captures metabolic phenotypes in adults with classic congenital adrenal hyperplasia
Chang Ho Ahn, Jaeyoon Shim, Han Na Jang, Young Ah Lee, Sang-Won Lee, Man Ho Choi, Jung Hee Kim
The Journal of Steroid Biochemistry and Molecular Biology.2023; 234: 106374. CrossRef
Long‐term health consequences of congenital adrenal hyperplasia
Riccardo Pofi, Xiaochen Ji, Nils P. Krone, Jeremy W. Tomlinson
Clinical Endocrinology.2023;[Epub] CrossRef
Hyperandrogenism and Cardiometabolic Risk in Pre- and Postmenopausal Women—What Is the Evidence?
Angelica Lindén Hirschberg
The Journal of Clinical Endocrinology & Metabolism.2023;[Epub] CrossRef
Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia
Jaeyoon Shim, Chang Ho Ahn, Seung Shin Park, Jongsung Noh, Chaelin Lee, Sang Won Lee, Jung Hee Kim, Man Ho Choi
Journal of the Endocrine Society.2023;[Epub] CrossRef
Long-Term Outcomes of Congenital Adrenal Hyperplasia
Anna Nordenström, Svetlana Lajic, Henrik Falhammar
Endocrinology and Metabolism.2022; 37(4): 587. CrossRef

Adrenal Gland
Adrenal Morphology as an Indicator of Long-Term Disease Control in Adults with Classic 21-Hydroxylase Deficiency: Taek Min Kim, Jung Hee Kim, Han Na Jang, Man Ho Choi, Jeong Yeon Cho, Sang Youn Kim; Endocrinol Metab. 2022;37(1):124-137. Published online February 8, 2022; DOI: https://doi.org/10.3803/EnM.2021.1278

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Background
Monitoring adults with classical 21-hydroxylase deficiency (21OHD) is challenging due to variation in clinical and laboratory settings. Moreover, guidelines for adrenal imaging in 21OHD are not yet available. We evaluated the relationship between adrenal morphology and disease control status in classical 21OHD.
Methods
This retrospective, cross-sectional study included 90 adult 21OHD patients and 270 age- and sex-matched healthy controls. We assessed adrenal volume, width, and tumor presence using abdominal computed tomography and evaluated correlations of adrenal volume and width with hormonal status. We investigated the diagnostic performance of adrenal volume and width for identifying well-controlled status in 21OHD patients (17α-hydroxyprogesterone [17-OHP] <10 ng/mL).
Results
The adrenal morphology of 21OHD patients showed hypertrophy (45.6%), normal size (42.2%), and hypotrophy (12.2%). Adrenal tumors were detected in 12 patients (13.3%). The adrenal volume and width of 21OHD patients were significantly larger than those of controls (18.2±12.2 mL vs. 7.1±2.0 mL, 4.7±1.9 mm vs. 3.3±0.5 mm, P<0.001 for both). The 17-OHP and androstenedione levels were highest in patients with adrenal hypertrophy, followed by those with normal adrenal glands and adrenal hypotrophy (P<0.05 for both). Adrenal volume and width correlated positively with adrenocorticotropic hormone, 17-OHP, 11β-hydroxytestosterone, progesterone sulfate, and dehydroepiandrosterone sulfate in both sexes (r=0.33–0.95, P<0.05 for all). For identifying well-controlled patients, the optimal cut-off values of adrenal volume and width were 10.7 mL and 4 mm, respectively (area under the curve, 0.82–0.88; P<0.001 for both).
Conclusion
Adrenal volume and width may be reliable quantitative parameters for monitoring patients with classical 21OHD.

Citations

Citations to this article as recorded by

Long‐term health consequences of congenital adrenal hyperplasia
Riccardo Pofi, Xiaochen Ji, Nils P. Krone, Jeremy W. Tomlinson
Clinical Endocrinology.2023;[Epub] CrossRef
Landscape of Adrenal Tumours in Patients with Congenital Adrenal Hyperplasia
Mara Carsote, Ana-Maria Gheorghe, Claudiu Nistor, Alexandra-Ioana Trandafir, Oana-Claudia Sima, Anca-Pati Cucu, Adrian Ciuche, Eugenia Petrova, Adina Ghemigian
Biomedicines.2023; 11(11): 3081. CrossRef
Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia
Jaeyoon Shim, Chang Ho Ahn, Seung Shin Park, Jongsung Noh, Chaelin Lee, Sang Won Lee, Jung Hee Kim, Man Ho Choi
Journal of the Endocrine Society.2023;[Epub] CrossRef
Long-Term Outcomes of Congenital Adrenal Hyperplasia
Anna Nordenström, Svetlana Lajic, Henrik Falhammar
Endocrinology and Metabolism.2022; 37(4): 587. CrossRef
Congenital adrenal hyperplasia in patients with adrenal tumors: a population-based case–control study
F. Sahlander, J. Patrova, B. Mannheimer, J. D. Lindh, H. Falhammar
Journal of Endocrinological Investigation.2022; 46(3): 559. CrossRef
Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia
Taek Min Kim, Seung Jae Choi, Ji Yeon Ko, Sungwan Kim, Chang Wook Jeong, Jeong Yeon Cho, Sang Youn Kim, Young-Gon Kim
European Radiology.2022; 33(6): 4292. CrossRef

Adrenal Gland
Clinical and Molecular Characteristics of PRKACA L206R Mutant Cortisol-Producing Adenomas in Korean Patients: Insoon Jang, Su-jin Kim, Ra-Young Song, Kwangsoo Kim, Seongmin Choi, Jang-Seok Lee, Min-Kyeong Gwon, Moon Woo Seong, Kyu Eun Lee, Jung Hee Kim; Endocrinol Metab. 2021;36(6):1287-1297. Published online December 2, 2021; DOI: https://doi.org/10.3803/EnM.2021.1217

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Abstract PDF Supplementary Material PubReader ePub: Background
An activating mutation (c.617A>C/p.Lys206Arg, L206R) in protein kinase cAMP-activated catalytic subunit alpha (PRKACA) has been reported in 35% to 65% of cases of cortisol-producing adenomas (CPAs). We aimed to compare the clinical characteristics and transcriptome analysis between PRKACA L206R mutants and wild-type CPAs in Korea.
Methods
We included 57 subjects with CPAs who underwent adrenalectomy at Seoul National University Hospital. Sanger sequencing for PRKACA was conducted in 57 CPA tumor tissues. RNA sequencing was performed in 13 fresh-frozen tumor tissues.
Results
The prevalence of the PRKACA L206R mutation was 51% (29/57). The mean age of the study subjects was 42±12 years, and 87.7% (50/57) of the patients were female. Subjects with PRKACA L206R mutant CPAs showed smaller adenoma size (3.3±0.7 cm vs. 3.8±1.2 cm, P=0.059) and lower dehydroepiandrosterone sulfate levels (218±180 ng/mL vs. 1,511±3,307 ng/mL, P=0.001) than those with PRKACA wild-type CPAs. Transcriptome profiling identified 244 differentially expressed genes (DEGs) between PRKACA L206R mutant (n=8) and wild-type CPAs (n=5), including five upregulated and 239 downregulated genes in PRKACA L206R mutant CPAs (|fold change| ≥2, P<0.05). Among the upstream regulators of DEGs, CTNNB1 was the most significant transcription regulator. In several pathway analyses, the Wnt signaling pathway was downregulated and the steroid biosynthesis pathway was upregulated in PRKACA mutants. Protein-protein interaction analysis also showed that PRKACA downregulates Wnt signaling and upregulates steroid biosynthesis.
Conclusion
The PRKACA L206R mutation in CPAs causes high hormonal activity with a limited proliferative capacity, as supported by transcriptome profiling.

Corrigendum

Miscellaneous
Corrigendum: Correction of Acknowledgments. Transformation of Mature Osteoblasts into Bone Lining Cells and RNA Sequencing-Based Transcriptome Profiling of Mouse Bone during Mechanical Unloading: A Ram Hong, Kwangsoo Kim, Ji Yeon Lee, Jae-Yeon Yang, Jung Hee Kim, Chan Soo Shin, Sang Wan Kim; Endocrinol Metab. 2021;36(6):1314. Published online November 18, 2021; DOI: https://doi.org/10.3803/EnM.2021.601; Corrects: Endocrinol Metab 2020;35(2):456

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Original Article

Adrenal Gland
Metabolic Subtyping of Adrenal Tumors: Prospective Multi-Center Cohort Study in Korea: Eu Jeong Ku, Chaelin Lee, Jaeyoon Shim, Sihoon Lee, Kyoung-Ah Kim, Sang Wan Kim, Yumie Rhee, Hyo-Jeong Kim, Jung Soo Lim, Choon Hee Chung, Sung Wan Chun, Soon-Jib Yoo, Ohk-Hyun Ryu, Ho Chan Cho, A Ram Hong, Chang Ho Ahn, Jung Hee Kim, Man Ho Choi; Endocrinol Metab. 2021;36(5):1131-1141. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1149

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Background
Conventional diagnostic approaches for adrenal tumors require multi-step processes, including imaging studies and dynamic hormone tests. Therefore, this study aimed to discriminate adrenal tumors from a single blood sample based on the combination of liquid chromatography-mass spectrometry (LC-MS) and machine learning algorithms in serum profiling of adrenal steroids.
Methods
The LC-MS-based steroid profiling was applied to serum samples obtained from patients with nonfunctioning adenoma (NFA, n=73), Cushing’s syndrome (CS, n=30), and primary aldosteronism (PA, n=40) in a prospective multicenter study of adrenal disease. The decision tree (DT), random forest (RF), and extreme gradient boost (XGBoost) were performed to categorize the subtypes of adrenal tumors.
Results
The CS group showed higher serum levels of 11-deoxycortisol than the NFA group, and increased levels of tetrahydrocortisone (THE), 20α-dihydrocortisol, and 6β-hydroxycortisol were found in the PA group. However, the CS group showed lower levels of dehydroepiandrosterone (DHEA) and its sulfate derivative (DHEA-S) than both the NFA and PA groups. Patients with PA expressed higher serum 18-hydroxycortisol and DHEA but lower THE than NFA patients. The balanced accuracies of DT, RF, and XGBoost for classifying each type were 78%, 96%, and 97%, respectively. In receiver operating characteristics (ROC) analysis for CS, XGBoost, and RF showed a significantly greater diagnostic power than the DT. However, in ROC analysis for PA, only RF exhibited better diagnostic performance than DT.
Conclusion
The combination of LC-MS-based steroid profiling with machine learning algorithms could be a promising one-step diagnostic approach for the classification of adrenal tumor subtypes.

Citations

Citations to this article as recorded by

Treating Primary Aldosteronism-Induced Hypertension: Novel Approaches and Future Outlooks
Nathan Mullen, James Curneen, Padraig T Donlon, Punit Prakash, Irina Bancos, Mark Gurnell, Michael C Dennedy
Endocrine Reviews.2024; 45(1): 125. CrossRef
Steroid profiling in adrenal disease
Danni Mu, Dandan Sun, Xia Qian, Xiaoli Ma, Ling Qiu, Xinqi Cheng, Songlin Yu
Clinica Chimica Acta.2024; 553: 117749. CrossRef
Serum and hair steroid profiles in patients with nonfunctioning pituitary adenoma undergoing surgery: A prospective observational study
Seung Shin Park, Yong Hwy Kim, Ho Kang, Chang Ho Ahn, Dong Jun Byun, Man Ho Choi, Jung Hee Kim
The Journal of Steroid Biochemistry and Molecular Biology.2023; 230: 106276. CrossRef
Recent Updates on the Management of Adrenal Incidentalomas
Seung Shin Park, Jung Hee Kim
Endocrinology and Metabolism.2023; 38(4): 373. CrossRef
LC-MS based simultaneous profiling of adrenal hormones of steroids, catecholamines, and metanephrines
Jongsung Noh, Chaelin Lee, Jung Hee Kim, Seung Woon Myung, Man Ho Choi
Journal of Lipid Research.2023; 64(11): 100453. 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
Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer
Aliya Lakhani, Da Hyun Kang, Yea Eun Kang, Junyoung O. Park
Endocrinology and Metabolism.2023; 38(6): 619. CrossRef
Prevalence and Characteristics of Adrenal Tumors in an Unselected Screening Population
Ying Jing, Jinbo Hu, Rong Luo, Yun Mao, Zhixiao Luo, Mingjun Zhang, Jun Yang, Ying Song, Zhengping Feng, Zhihong Wang, Qingfeng Cheng, Linqiang Ma, Yi Yang, Li Zhong, Zhipeng Du, Yue Wang, Ting Luo, Wenwen He, Yue Sun, Fajin Lv, Qifu Li, Shumin Yang
Annals of Internal Medicine.2022; 175(10): 1383. 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

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Strategies for subtyping primary aldosteronism
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International Journal of Surgery.2024; 110(2): 839. CrossRef

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