Details

Autor(en) / Beteiligte

• Wang, Q.
• Dong, H.
• LI, H.-W.
• Zheng, Z.-H.
• Liu, Y.-Z.
• Hua, Y.-H.
• Xiong, Y.-J.
• Zhang, H.-M.
• Song, L.
• Zou, Y.-B.
• Jiang, X.-J.

Titel

Development of a diagnostic model for pre-washout screening of primary aldosteronism

Ist Teil von

• Journal of endocrinological investigation, 2024-10, Vol.47 (10), p.2539-2550

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2024

Quelle

MEDLINE

Beschreibungen/Notizen

• Purpose Primary aldosteronism (PA) diagnosis is affected by antihypertensive drugs that are commonly taken by patients with suspected PA. In this study, we developed and validated a diagnostic model for screening PA without drug washout. Methods We retrospectively analyzed 1095 patients diagnosed with PA or essential hypertension. Patients were randomly grouped into training and validation sets at a 7:3 ratio. Baseline characteristics, plasma aldosterone concentration (PAC), and direct renin concentration (DRC) before and after drug washout were separately recorded, and the aldosterone-to-renin ratio (ARR) was calculated. Results PAC and ARR were higher and direct renin concentration was lower in patients with PA than in patients with essential hypertension. Furthermore, the differences in blood potassium and sodium concentrations and hypertension grades between the two groups were significant. Using the abbreviations potassium (P), ARR (A), PAC (P), sodium (S), and hypertension grade 3 (3), the model was named PAPS 3 . The PAPS 3 model had a maximum score of 10, with the cutoff value assigned as 5.5; it showed high sensitivity and specificity for screening PA in patients who exhibit difficulty in tolerating drug washout. Conclusion PA screening remains crucial, and standard guidelines should be followed for patients to tolerate washout. The PAPS 3 model offers an alternative to minimize risks and enhance diagnostic efficiency in PA for those facing washout challenges. Despite its high accuracy, further validation of this model is warranted through large-scale clinical studies.