In:
The Journal of Clinical Endocrinology & Metabolism, The Endocrine Society, Vol. 105, No. 3 ( 2020-03-01), p. e319-e327
Kurzfassung:
Accurate assessment and localization of aldosterone-producing adenomas (APAs) are essential for the treatment of primary aldosteronism (PA). Although adrenal venous sampling (AVS) is the standard method of reference for subtype diagnosis in PA, controversy exists concerning the criteria for its interpretation. This study aims to determine better indicators that can reliably predict subtypes of PA. Method Retrospective, single-cohort analysis including 209 patients with PA who were subjected to AVS. Eighty-two patients whose plasma aldosterone concentrations (PAC) were normalized after surgery were histopathologically or genetically diagnosed with APA. The accuracy of image findings was compared to AVS results. Receiver operating characteristic (ROC) curve analysis between the operated and the no-apparent laterality groups was performed using AVS parameters and loading test for diagnosis of PA. Result Agreement between image findings and AVS results was 56.3%. ROC curve analysis revealed that the lateralization index (LI) after adrenocorticotropin stimulation cutoff was 2.40, with 98.8% sensitivity and 97.1% specificity. The contralateral suppression index (CSI) cutoff value was 1.19, with 98.0% sensitivity and 93.9% specificity. All patients over the LI and CSI cutoff values exhibited unilateral subtypes. Among the loading test, the best classification accuracy was achieved using the PAC reduction rate after a saline infusion test (SIT) & gt;33.8%, which yielded 87.2% sensitivity or a PAC after a SIT & lt;87.9 pg/mL with 86.2% specificity for predicting bilateral PA. Conclusion The combined criteria of the PAC reduction rate and PAC after the SIT can determine which subset of patients with APA who should be performed AVS for validation.
Materialart:
Online-Ressource
ISSN:
0021-972X
,
1945-7197
DOI:
10.1210/clinem/dgz092
Sprache:
Englisch
Verlag:
The Endocrine Society
Publikationsdatum:
2020
ZDB Id:
2026217-6
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