Metabolic phenotype in non-aldosterone producing adrenal adenomas with co-existent polycystic ovary syndrome: a joint Ens@t project

Cardiometabolic characteristics of the cohorts

NAPACA patients were significantly older than the other two groups (NAPACA: 40.6 ± 1.1, PCOS: 31.3 ± 1.4, NAPACA+PCOS: 33.8 ± 1.4 years old, P < 0.001). PCOS patients displayed the lowest and NAPACA+PCOS the highest BMI (PCOS: 27.1 ± 1.7, NAPACA: 28.2 ± 1.1, NAPACA+PCOS: 31.8 ± 1.9 kg/m2), but without a statistically significant difference (P = 0.06) and patients of the three groups did not significantly differ in their WHR (NAPACA: 0.533 ± 0.02, PCOS: 0.513 ± 0.02, NAPACA+PCOS: 0.583 ± 0.03, P = 0.15). 39% of NAPACA patients had a positive family history of diabetes mellitus type 2, while the percentage increased to 75% for PCOS and to 63% for NAPACA+PCOS patients (P = 0.07). Their SBP (NAPACA: 127.9 ± 3.1, PCOS: 128.8 ± 3.0, NAPACA+PCOS: 130 ± 2.6 mmHg, P = 0.53) and DBP levels (NAPACA: 81.8 ± 1.8, PCOS: 87.1 ± 3.4, NAPACA+PCOS: 86.5 ± 2.5 mmHg, P = 0.19) were comparable in all three groups. Furthermore, all patients had similar HbA1c (NAPACA: 5.335 ± 0.08, PCOS: 5.270 ± 0.05, NAPACA+PCOS: 5.314 ± 0.05%, P = 0.64) and fasting glucose levels (NAPACA: 90.3 ± 1.9, PCOS: 95.1 ± 3.8, NAPACA+PCOS: 89.35 ± 1.8 mg/dl, P = 0.41). However, NAPACA+PCOS patients displayed significantly higher fasting insulin levels (NAPACA: 9.3 ± 1.0, PCOS: 12.9 ± 2.8, NAPACA+PCOS: 25.5 ± 9.1 μU/ml, P = 0.02). NAPACA+PCOS patients also exhibited lower HDL levels (NAPACA: 58.6 ± 2.6, PCOS: 57.3 ± 2.9, NAPACA+PCOS: 48.1 ± 2.5 mg/dl, P = 0.02), while their TC (NAPACA: 187.1 ± 4.4, PCOS: 187.7 ± 7.4, NAPACA+PCOS: 191.0 ± 5 mg/dl, P = 0.87), LDL (NAPACA: 110.9 ± 4.7, PCOS: 112.7 ± 6.8, NAPACA+PCOS: 119.3 ± 4.3, P = 0.54) and TG levels (NAPACA: 101.0 ± 8.7, PCOS: 102.9 ± 15.3, NAPACA+PCOS: 124.7 ± 13.4 mg/dl, P = 0.26) did not differ from the other two groups. NAPACA and NAPACA+PCOS patients did not differ in the size of their adrenal incidentaloma (NAPACA: 22.9 ± 2.2, NAPACA+PCOS: 20.0 ± 2.5, P = 0.39), (Table 1).

Table 1 Baseline parameters of patients with NAPACA, PCOS and NAPACA+PCOSHormonal profile

When comparing the hormonal profile among the groups, no significant differences were identified in their cortisol levels based on the 1mg-DST (NAPACA: 1.574 ± 0.18, PCOS: 0.829 ± 0.12, NAPACA+PCOS: 1.109 ± 0.19 μg/dl, P = 0.06). The DHEA-S (NAPACA: 136.3 ± 26, PCOS: 251.3 ± 42, NAPACA+PCOS: 244 ± 37 μg/dl, P = 0.007), Δ4-androstenedione (NAPACA: 1.423 ± 0.23, PCOS: 2.684 ± 0.23, NAPACA+PCOS: 2.366 ± 0.35 ng/ml, P < 0.001) and testosterone levels (NAPACA: 28.63 ± 2.6, PCOS: 42.81 ± 4.3, NAPACA+PCOS: 44.93 ± 5.2 ng/dl, P = 0.001) were significantly higher in the two groups with PCOS patients. Interestingly, the FAI levels were significantly higher in the NAPACA+PCOS group in comparison to NAPACA (NAPACA: 2.93 ± 0.6, PCOS: 4.18 ± 1.0, NAPACA+PCOS: 5.90 ± 1.2, P = 0.015), (Table 1).

Insulin resistance indices

We additionally compared both static and dynamic IRI in the three groups. NAPACA+PCOS patients displayed significantly increased IR as calculated by the GIR (NAPACA: 13.9 ± 1.4, PCOS: 12.2 ± 1.6, NAPACA+PCOS: 8.3 ± 1.5, P = 0.017), the HOMA index (NAPACA: 2.08 ± 0.26, PCOS: 3.23 ± 0.81, NAPACA+PCOS: 5.75 ± 2.09, P = 0 = 035), the QUICKI index (NAPACA: 0.358 ± 0.006, PCOS: 0.344 ± 0.009, NAPACA+PCOS: 0.326 ± 0.009, P = 0.018) and the MATSUDA index (NAPACA: 6.41 ± 0.8, PCOS: 5.75 ± 0.9, NAPACA+PCOS: 3.57 ± 0.7, P = 0.031) (Fig. 1).

Fig. 1figure 1

Insulin resistance indices in NAPACA, PCOS and NAPACA+PCOS patients. Upper left panel: Glucose to Insulin Ratio (GIR). Upper right panel: Homeostatic model assessment for insulin resistance (HOMA) index. Lower left panel: Quantitative insulin sensitivity check (QUICKI) index. Lower right panel: MATSUDA index. * denotes statistical significance

Correlation of androgens and cortisol to clinical, cardiometabolic parameters and insulin resistance indices

FAI levels positively correlated with insulin levels and the degree of IR in NAPACA (Insulin R 0.54, 95% CI 0.16–0.78, P = 0.007, GIR R −0.56, 95% CI −0.79 – −0.19, P = 0.005, HOMA R 0.53, 95% CI 0.14–0.77, P = 0.008, QUICKI R −0.53, 95% CI −0.77 – −0.14, P < 0.05, MATSUDA R −0.49, 95% CI −0.83 – 0.10, P = 0.091) and PCOS patients (Insulin R 0.71, 95%CI 0.34 – 0.89, P = 0.002, GIR R −0.69, 95%CI −0.88 – −0.30, P = 0.003, HOMA R 0.70, 95%CI 0.31–0.89, P = 0.002, QUICKI R −0.7, 95% CI −0.89 – −0.31, P = 0.002, MATSUDA R −0.82, 95%CI −0.94 – −0.55, P = 0.001), (Table 2). Unlike that, cortisol levels after 1mg-DST positively correlated with the degree of IR in the NAPACA+PCOS group (Insulin R 0.51, 95%CI 0.03 – 0.80, P = 0.03, GIR R −0.48, 95%CI −0.79 – 0.02, P = 0.05, HOMA R 0.58, 95%CI 0.12 – 0.83, P = 0.017, QUICKI R −0.58, 95%CI −0.83 – −0.12, P = 0.017, MATSUDA R −0.67, 95%CI −0.90 – −0.14, P = 0.02) (Table 3). Interestingly, in NAPACA+PCOS patients DHEA-S levels negatively correlated with the BMI (R −0.65, 95%CI −0.85 – −0.28, P = 0.002), WHR (R −0.72, 95%CI −0.91 – −0.29, P = 0.005), HbA1c levels (R −0.56, 95%CI −0.82 – −0.09, P = 0.022) and positively with the HDL levels (R 0.65, 95%CI 0.23 – 0.87, P = 0.006), (Table 4). Δ4-androstenedione levels did not present any particular correlation with the cardiometabolic parameters investigated (data not shown).

Table 2 Correlation of free androgen index (FAI) to the investigated parametersTable 3 Correlation of cortisol after 1 mg dexamethasone suppression test to the investigated parametersTable 4 Correlation of DHEA-S to the investigated parameters

A logistic regression analysis was performed to provide the clinical and/or cardiometabolic predictors in the NAPACA and NAPACA+PCOS groups. In the univariate analysis, age (OR: 0.887; 95%CI: 0.823–0.995, P = 0.002), the MATSUDA index (OR: 0.728; 95%CI: 0.555–0.954, P = 0.02) and HDL levels (OR: 0.944; 95%CI: 0.900–0.991, P = 0.02) predicted the presence of PCOS in NAPACA patients, while, in the multivariate analysis, only the younger age and the lower HDL levels predicted the PCOS presence (age: OR: 0.767; 95%CI: 0.620–0.949, P = 0.014; HDL: OR: 0.911, 95%CI: 0.833–0.997, P = 0.04) (Table 5).

Table 5 OR and 95% CI for each metabolic parameter to distinguish NAPACA from NAPACA+PCOS

As our cohort included patients with MACS, 12 in the NAPACA group (27%), and one in the NAPACA+PCOS group (5%), we further performed a nested analysis, excluding all MACS patients and reassessing the IRI in all groups. NAPACA+PCOS patients still displayed significantly increased IR as calculated by the GIR (NAPACA: 13.5 ± 1.4, PCOS: 12.6 ± 1.7, NAPACA+PCOS: 8.5 ± 1.5, P = 0.025), the HOMA index (NAPACA: 1.9 ± 0.25, PCOS: 3.17 ± 0.85, NAPACA+PCOS: 5.70 ± 2.2, P = 0.05), the QUICKI index (NAPACA: 0.358 ± 0.006, PCOS: 0.346 ± 0.009, NAPACA+PCOS: 0.327 ± 0.01, P = 0.03) and the MATSUDA index (NAPACA: 6.67 ± 0.8, PCOS: 5.9 ± 0.9, NAPACA+PCOS: 3.7 ± 0.7, P = 0.03). HDL levels remained lowest in the NAPACA+PCOS group (NAPACA: 61.1 ± 3.1, PCOS: 57.3 ± 2.9, NAPACA+PCOS: 48.5 ± 2.6, P = 0.02). Similarly, uni- and multivariate analysis of these nested groups also denoted age and HDL as the major predictors of the presence of PCOS in NAPACA patients [univariate analysis: age (OR: 0.916; 95%CI: 0.848–0.991, P = 0.028), the MATSUDA index (OR: 0.702; 95%CI: 0.495–0.995, P = 0.047) and HDL levels (OR: 0.943; 95% CI 0.892–0.996, P = 0.037); multivariate analysis: age (OR: 0.721; 95%CI 0.535–0.972, P = 0.032) and HDL (OR: 0.887; 95%CI 0.776–1.014, P = 0.079)].

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