Thirty day postoperative outcomes following laparoscopic adrenalectomy for functional adrenal tumors

Functional adrenal tumors (FATs) are rare and if left untreated, there is a substantial risk of morbidity and mortality due to uncontrolled excess hormone secretion. The three most common FATs are cortisone-producing tumors (hypercortisolism), aldosterone-producing tumors (hyperaldosteronism), and catecholamines-producing tumors (pheochromocytomas). The study aims to evaluate demographic characteristics and 30-day outcomes after laparoscopic adrenalectomy of FATs.

Patients who underwent laparoscopic adrenalectomy for FATs were selected from the ACS-NSQIP database (2015-2017), and divided into three groups (hyperaldosteronism, hypercortisolism, and pheochromocytoma). Preoperative demographics, medical comorbidities, and 30-day postoperative outcomes among the three groups were analyzed using the chi-squared test, analysis of variance (ANOVA) and Kruskal-Wallis one-way analysis of variance. Multivariable logistic regression was performed to assess the effects independent variables on the likelihood of increased overall morbidity.

Of a total of 2410 patients who underwent laparoscopic adrenalectomy, 345 (14.3%) patients with FATs were included. Patients in the hypercortisolism group were younger, had higher proportion of females, had higher BMI, had a higher proportion of White ethnicity and had a higher proportion of diabetes. The hyperaldosteronism group had a higher proportion of Black ethnicity and a higher proportion of hypertension (HTN) requiring medication. Thirty day postoperative outcomes showed that the pheochromocytoma group had a higher rate of serious morbidity, overall morbidity, and highest readmission rates. There were three deaths, 1 in the pheochromocytoma and 2 in the hypercortisolism groups. Operative time (in minutes) was longer in the hypercortisolism group. Median length of stay was higher in hypercortisolism (2 days) and pheochromocytoma (1.5 day) groups.

Functional adrenal tumors show distinct variations in patient demographics and postoperative outcomes. It is essential to use this information during the preoperative period to optimize patients prior to intervention and counsel patients about potential postoperative outcomes.