Abstract Background and Aims Primary aldosteronism (PA) is one of the most frequent causes of secondary hypertension. Patients with PA are at higher risk for cardiovascular and renal complications than those with essential hypertension. Screening for PA is rarely considered in the assessment of a hypertensive patient, in part because of difficulties in the diagnostic process. Nevertheless, identification of PA is crucial to guide patients towards optimal management, either by mineralocorticoid receptor blockade or by unilateral adrenalectomy, with the latter offering potential cure for patients with aldosterone-producing adenomas (APAs). Numerous studies show inadequate diagnostic accuracy of the aldosterone:renin ratio (ARR) for screening for PA, particularly in females, who have higher ARR variability and lower renin compared to males. Women have a higher risk of false-positive screening results leading to unnecessary confirmatory tests. Use of oral contraception (OC) or hormone replacement therapy (HRT) may also confound the ARR. The aim of this study was to develop improved screening tools for PA, including adjustments for sex-specific differences. Method PROSALDO is a multicenter prospective cohort study designed to test new diagnostic procedures for patients with suspected PA. Medication that interfere with the renin-angiotensin-aldosterone system are withdrawn before laboratory measurements. For screening, the routine ARR is calculated along with additional probability scores based on a peripheral venous steroid hormone profile (PVSP). The latter allows for identification of potentially false-negative ARR results. After a positive screening result of the ARR and/or a high probability score based on the PVSP, PA is confirmed or excluded with a saline infusion test (SIT). PA confirmation is followed by adrenal venous sampling (AVS) to identify patients with unilateral PA. We compared aldosterone, renin and ARR levels between females and males with and without PA. Renin- and sex dependent formulas for aldosterone screening cut-offs were derived from the study population. Logistic regression and the corresponding receiver operating characteristic (ROC) curves were used to determine and compare diagnostic accuracies. Results PA was confirmed in 159 (24.5%) of 649 (328 (50.5%) females and 321 (49.5%) males). Lateralization was shown in 58 out of 117 patients who underwent AVS. In hypertensive patients without PA, ARR was higher in females vs. males (26.4 vs. 11.7 pmol/mU, P < 0.0001), mainly due to a lower renin (9.2 vs. 16.2 mU/L, P < 0.0001). Furthermore, ARRs in patients with vs. without PA showed more overlap in females compared to males. Areas under ROC curves (AUROCs) for the ARR were 0.857 (CI 95%: 0.797-0.902) vs. 0.912 (CI 95%: 0.876-0.938) for females and males respectively. Using liquid chromatography mass spectrometry measurements (LC-MS/MS) of aldosterone, an ARR cut-off of 21.75 pmol/L yielded a sensitivity of 93% with only 45% specificity in females, while for males, a specificity of 66% was obtained for a sensitivity of 97.7%. This meant for females having a higher risk of false-positive screening results (OR 2.36 (CI 95%: 1.65-3.41)), even after excluding patients on OC or HRT (OR 2.17 (CI 95%: 1.5-3.17)). We derived a renin- and sex-dependent formula for the calculation of aldosterone cut-offs, which improved diagnostic accuracy for both males and females (ΔAUROC = 0.05 and 0.045, P < 0.0001 and 0.02 respectively): for a diagnostic sensitivity of 94-95%, specificity was improved to 61% in females and 82% in males. Conclusion Lower renin in females without PA leads to higher ARRs and thus a higher risk of false-positive screening results. Higher overlap of the ARR between females with and without PA compared to their male counterparts weakens utility of the ARR for discrimination of patients with and without PA. Sex- and renin-specific aldosterone cut-offs for screening for PA offer improved diagnostic accuracy. Diagnostic accuracy remains however superior in males, which highlights the need for further optimization of diagnostic procedures specifically in women.