Surgery based on computed tomography images might be feasible for primary aldosteronism patients with visible unilateral adenoma.
Chen FangJun DaiJuping ZhaoXin HuangWei HeJianzhong XuFukang SunPublished in: Journal of clinical hypertension (Greenwich, Conn.) (2023)
Primary aldosteronism (PA) with unilateral adrenal disease can be cured or improved by adrenalectomy. Adrenal venous sampling (AVS) is recommended to identify patients for surgical management. However, surgeries based on computed tomography (CT) images are only advocated for PA patients aged <35 with visible unilateral adenoma. Herein, we aimed to compare CT-based and AVS-based surgery outcomes for PA patients with visible unilateral adenomas for different age groups. A total of 178 PA patients who underwent unilateral adrenalectomy between June 2018 and January 2021 were included in the study based on CT (n = 54) or AVS (n = 124). Demographics, diagnostics, and follow-up data were retrospectively collected. Clinical and biochemical outcomes were analyzed according to Primary Aldosteronism Surgical Outcome (PASO) criteria at 1-year follow-up. Our results showed that complete clinical success (46.3% vs. 47.6%, p = 0.875) and complete biochemical success (88.8% vs. 91.9%, p = 0.515) were similar between the two groups. Age stratification revealed that patients >55 years old were likely to have worse biochemical outcomes; however, these were still not significantly different (21.4% vs. 8.6%, p = 0.220). Of the 114 AVS-based patients who achieved complete biochemical success, 37 (32.4%) with bilateral normal or bilateral abnormal CT images changed treatment options according to AVS results, 1 (0.9%) avoided adrenalectomy on the wrong side. Our results indicated that surgery based on CT images might be feasible for highly selected PA patients with visible unilateral adenomas and less limited by age, while for those with normal adrenal or bilateral adrenal lesions, treatment strategy must be decided by AVS.
Keyphrases
- computed tomography
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- dual energy
- deep learning
- prognostic factors
- magnetic resonance imaging
- peritoneal dialysis
- contrast enhanced
- positron emission tomography
- optical coherence tomography
- convolutional neural network
- adipose tissue
- coronary artery bypass
- coronary artery disease
- machine learning
- patient reported outcomes
- metabolic syndrome
- electronic health record
- insulin resistance
- patient reported
- glycemic control