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建立原醛症预洗脱期的诊断模型。

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

机构信息

Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Beijing, 100037, Xicheng, China.

出版信息

J Endocrinol Invest. 2024 Oct;47(10):2539-2550. doi: 10.1007/s40618-024-02337-y. Epub 2024 Mar 27.

Abstract

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. The PAPS 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 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.

摘要

目的

原发性醛固酮增多症(PA)的诊断受到患者常服用的降压药物的影响。本研究旨在开发并验证一种无需药物洗脱的 PA 筛查诊断模型。

方法

我们回顾性分析了 1095 例确诊为 PA 或原发性高血压的患者。患者按 7:3 的比例随机分为训练组和验证组。分别记录了药物洗脱前后的基线特征、血浆醛固酮浓度(PAC)和直接肾素浓度(DRC),并计算了醛固酮/肾素比值(ARR)。

结果

PA 患者的 PAC 和 ARR 高于原发性高血压患者,而 DRC 低于原发性高血压患者。此外,两组间血钾和血钠浓度以及高血压分级差异均有统计学意义。使用缩写词钾(P)、ARR(A)、PAC(P)、钠(S)和高血压 3 级(3),将该模型命名为 PAPS。PAPS 模型的最高得分为 10,截断值为 5.5;对于难以耐受洗脱的患者,该模型对 PA 的筛查具有较高的灵敏度和特异性。

结论

PA 的筛查仍然很重要,对于能够耐受洗脱的患者,应遵循标准指南。对于面临洗脱挑战的患者,PAPS 模型提供了一种替代方案,可以最大程度地降低风险并提高 PA 的诊断效率。尽管该模型具有较高的准确性,但仍需要通过大规模的临床研究进一步验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5635/11393003/fb8ff2bc2370/40618_2024_2337_Fig1_HTML.jpg

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