Key result
Novel risk score predicts primary aldosteronism with moderate accuracy, yielding an AUC of ~0.66.
Why the study?
Primary aldosteronism is an under-diagnosed cause of resistant hypertension, motivating the validation of a risk stratification model in an independent cohort.
Does a novel risk stratification model accurately predict the risk of primary aldosteronism in screened patients?
Cohort (n=652)
Does a novel risk stratification model accurately predict the risk of primary aldosteronism in screened patients?
Effect estimate: AUC 0.66 (95% CI 0.60-0.72)
p-value: p=<0.001
A novel scoring system demonstrated moderate accuracy (AUC 0.66) in predicting the risk of primary aldosteronism in an independent validation cohort.
May aid PA screening in resistant hypertension; leaves open prospective validation before routine use.
Primary aldosteronism (PA) is an under-diagnosed cause of resistant hypertension. In this study, we validated a PA risk stratification model in an independent cohort. Patients screened for PA were identified and risk scores were calculated for each patient. The predicted and observed proportions of PA-positive patients at each risk score were assessed and performance, accuracy, and cut-point analyses were calculated. Among 652 patients screened, 13% were positive for PA. Rates of PA increased significantly (p < 0.001) with increase in risk score and varied from 0% (1 point) to 29% (9 points). The optimal cut-point was 6. The model showed moderate performance at predicting the risk of PA, with AUC of 0.66 (95% CI 0.60-0.72), sensitivity of 0.57, and Brier statistic of 0.29. A novel scoring system was moderately accurate at predicting the risk of PA in an independent validation cohort and may be clinically useful in identifying patients at elevated risk.
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Gasior et al. (2026) conducted a cohort in Primary aldosteronism (n=652). Risk stratification model was evaluated on Prediction of primary aldosteronism risk (AUC 0.66, 95% CI 0.60-0.72, p=<0.001). A novel risk stratification model demonstrated moderate accuracy in predicting the risk of primary aldosteronism, yielding an AUC of 0.66 (95% CI 0.60-0.72).
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