Prevalence, Subtype Classification, and Outcomes of Treatment of Primary Aldosteronism: A Prospective Study in China.

Endocr Pract

Center of Laboratory Medicine, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China. Electronic address:

Published: May 2021


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Objective: To investigate the prevalence of primary aldosteronism (PA) among participants with hypertension, evaluate the concordance of PA classification between adrenal computed tomography and adrenal venous sampling, and compare the outcomes of surgery and medication for unilateral PA.

Methods: A prospective study was conducted among all inpatients with hypertension (n = 7594) at the National Center for Cardiovascular Diseases, China, from May 2016 to April 2018.

Results: Of the 7594 participants, 8.12% (n = 617) with plasma aldosterone-renin ratio ≥3.7 were possible PA cases. Three hundred sixty-seven cases with plasma aldosterone-renin ratio ≥3.7 and plasma aldosterone concentration ≥10 ng/dL were confirmed using the recumbent saline infusion test (69.20%, 182 of 263) or the captopril challenge test (66.5%, 69 of 104, P > .05). The prevalence of PA was 3.31% (n = 251). Of the 251 patients with PA, all of them had multiple comorbidities, and 49.40% (n = 124) had spontaneous hypokalemia. The concordance of PA classification between adrenal computed tomography and adrenal venous sampling was only 47.11%. The patients' blood pressure declined to normal ranges in the adrenalectomy (85.71%, 30 of 35) and spironolactone (63.04%; 29 of 46) groups (P < .05). Furthermore, hypokalemia was normalized in the adrenalectomy (100.00%; 26 of 26) and spironolactone (94.74%; 18 of 19) groups.

Conclusion: It is necessary to incorporate PA screening into routine practice for those with hypertension in the Chinese population. This will assist in ensuring that the best therapeutic schedule based on PA subtypes is devised. Additionally, as a result, it may contribute to restoring the blood pressure levels and reducing the prevalence of comorbidities in these patients with PA.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.eprac.2020.10.007DOI Listing

Publication Analysis

Top Keywords

primary aldosteronism
8
prospective study
8
concordance classification
8
classification adrenal
8
adrenal computed
8
computed tomography
8
tomography adrenal
8
adrenal venous
8
venous sampling
8
plasma aldosterone-renin
8

Similar Publications

Primary aldosteronism (PA) is one of the prevalent causes of secondary hypertension, characterized by the autonomous hypersecretion of aldosterone and concurrent renin inhibition. Clinical and biochemical remission rates for patients with PA achieved through surgery are far higher compared to those achieved through drug treatment; hence, subtyping PA is crucial for identifying patients who will benefit most from surgery. Computed tomography (CT) scan with adrenal protocol and adrenal venous sampling (AVS) is used conventionally for PA subtype classification.

View Article and Find Full Text PDF

The diagnosis of adrenocortical tumors remains clinically challenging due to overlapping morphological and functional features between benign, malignant, and hormonally active lesions. Malignant and functional tumors are frequently associated with poor prognosis. Traditional morphological imaging methods, such as CT and MRI, cannot reliably distinguish lesion types.

View Article and Find Full Text PDF

Objective: The indication for laparoscopic partial adrenalectomy (LPA) in patients with primary aldosteronism due to aldosterone-producing adenoma (APA) remains controversial. This study aimed to determine the functional and surgical outcomes of LPA in this context.

Methods: This is a systematic review and meta-analysis.

View Article and Find Full Text PDF

Recent advances in artificial intelligence (AI) are reshaping the diagnostic and therapeutic of primary aldosteronism (PA). For screening, machine learning models integrate multidimensional data to improve the efficiency of PA detection, facilitating large-scale population screening. For diagnosis, AI-driven algorithms have further enhanced the specificity of PA identification.

View Article and Find Full Text PDF