AI Article Synopsis

  • Frequent failures in adrenal vein cannulation hinder adrenal vein sampling (AVS) for diagnosing primary aldosteronism (PA).
  • This study evaluated the usefulness of the AV/inferior vena cava (IVC) index in diagnosing PA when cannulation fails on one side, using data from 157 patients.
  • The findings suggest that specific cutoff values from the AV/IVC index can effectively predict unilateral PA, providing a potential tool for accurate diagnosis despite cannulation issues.

Article Abstract

Background And Aims: Frequent failure of adrenal vein (AV) cannulation is a major obstacle to the universal use of adrenal vein sampling (AVS) for subtyping primary aldosteronism (PA). This study aimed to confirm and modify the value of a previously reported AVS parameter for PA subtyping in the case of cannulation failure on one side.

Methods: Successfully catheterized AVS studies in 157 patients (121 patients as a derivation cohort and 36 patients as a validation cohort) from two tertiary hospitals were retrospectively reviewed. The AV/inferior vena cava (IVC) index was defined by dividing the aldosterone/cortisol ratio (ACR) of AV by the ACR of the IVC. Cutoff values for lateralized PA were obtained from two methods: scatterplots and the values corresponding to Youden's index in receiver operating characteristic (ROC) curves, on the assumption of catheterization failure on one side.

Results: Due to multiple samplings in a single AVS procedure, 252 left AV/IVC ratios (LIRs) and 272 right AV/IVC ratios (RIRs) were calculated. of LIR >5.4 or <0.5 predicted unilateral PA with a sensitivity of 42.1% and a specificity of 98.6%. of RIR <0.5 or >7.0 showed a sensitivity of 55.1% and a specificity of 98.6%. of LIR ⩽0.8 or >3.1 predicted unilateral PA with a sensitivity of 82.5% and a specificity of 69.6%. of RIR ⩽0.8 or >3.9 resulted in 87.4% sensitivity and 80.7% specificity.

Conclusion: In the case of unilateral AVS failure, the AV/IVC index may help in diagnosing PA subtype.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887669PMC
http://dx.doi.org/10.1177/2042018821989239DOI Listing

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