[A Fisher discriminant model to predict the outcome of postoperative blood pressure in primary aldosteronism].

Objective: To establish a Fisher discriminant model in order to predict the outcome of postoperative blood pressure for primary aldosteronism (PA). Methods: A total of 83 cases from the First Affiliated Hospital of Chongqing Medical University were enrolled and divided into two groups: cure group and not cure group according to postoperative blood pressure. Fisher stepwise discriminant analysis was used to establish a discriminant model, and compared with aldosteronoma resolution score (ARS) and nomogram model by receiver operating characteristic curve. Results: Hypertension was cured in 52 cases, and 31 cases remained uncured. Patients in uncured group were older, and had bigger body mass index (BMI), longer duration of hypertension, higher serum triglyceride (TG), more types of antihypertensive drug, higher incidence of diabetes, smoking and alcohol intake, less typical nodules on computed tomography imaging, lower estimated glomerular filtration rate (eGFR) and high density lipoprotein cholesterol. The discriminant model based on BMI, types of antihypertensive drugs, typical nodules on CT, eGFR and TG was established and the cut-off value was 0.195 9, with a sensitivity of 86.5% and a specificity of 83.9%. The area under the curve was 0.857 (95% CI: 0.764-0.951), which was higher than that of ARS (0.733, 95% CI: 0.619-0.847) and the nomogram model (0.735, 95% CI: 0.619-0.851). Conclusion: The Fisher discriminant model had a high value to predict the outcome of postoperative blood pressure in PA.