Table 2 Patient clinical characteristics of the modeling and external primary aldosteronism cohort.

From: Machine learning-based models for predicting clinical outcomes after surgery in unilateral primary aldosteronism

Variables

Modeling cohort (n = 107)

External cohort (n = 51)

P value

Clinical success (complete; %)

40 (37.4)

24 (47.1)

0.299

Age at diagnosis (years)

54 (45–62)

46 (40–58)

0.035

Sex (female; %)

50 (46.7)

24 (47.1)

1.000

BMI (kg/m2)

24.2 (21.8–26.4)

23.3 (20.9–27.1)

0.449

Systolic blood pressure (mmHg)

138 (128–151)

133 (125–146)

0.180

Diastolic blood pressure (mmHg)

81 (73–92)

80 (75–92)

0.997

Duration of hypertension (years)

10 (4–15)

6 (2–10)

0.015

Antihypertensive medication (DDD)

2.0 (1.0–2.8)

2.3 (1.5–3.2)

0.043

PAC (ng/dL)

32.4 (20.8–48.6)

34.2 (21.7–51.3)

0.666

Plasma renin activity (ng/mL/h)

0.20 (0.10–0.30)

0.30 (0.20–0.50)

 < 0.001

  1. Data are expressed as medians with interquartile ranges or number with percentage. BMI, body mass index; DDD, defined daily dose; PAC, plasma aldosterone concentration.
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