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Clinical and biochemical predictors and predictive model of primary aldosteronism

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  • Worapaka Manosroi
  • Natthanan Tacharearnmuang
  • Pichitchai Atthakomol

Abstract

Background: Primary aldosteronism (PA) is the most common cause of secondary hypertension. The diagnosis of PA currently requires multiple complicated measures. The aims of this study were to identify easy-to-obtain clinical and biochemical predictors, and to create predictive model to facilitate the identification of a patient at high risk of having PA. Materials and methods: This 2-year retrospective cohort study was conducted at a tertiary care medical center. A total of 305 patients who had been tested for plasma aldosterone concentration (PAC) and plasma renin activity (PRA) were identified. Patients with incomplete results of PAC and PRA and those who had an established diagnosis of Cushing’s syndrome or pheochromocytoma were excluded. Logistic regression analysis was used to identify significant predictors and to create predictive model of PA. Results: PA was diagnosed in 128 of the patients (41.96%). Significant predictive factors for PA were age >60 years (OR 2.12, p = 0.045), female (OR 1.65, p 160 mmHg (OR 1.15, P 126 mg/dL (OR 0.48, p = 0.001) and estimated glomerular filtration rate (eGFR)

Suggested Citation

  • Worapaka Manosroi & Natthanan Tacharearnmuang & Pichitchai Atthakomol, 2022. "Clinical and biochemical predictors and predictive model of primary aldosteronism," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-12, August.
    • Handle: RePEc:plo:pone00:0272049
    DOI: 10.1371/journal.pone.0272049
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