Key result
Baseline biomarker profiling predicts resistant hypertension at 24 weeks with ~0.86 AUC.
Why the study?
The predictive capability of biomarkers to detect patients who will develop resistant hypertension and the psychological impact of early risk stratification were uncertain.
Cohort (n=240)
Yes
A baseline biomarker profile including aldosterone-to-renin ratio, NT-proBNP, and hs-CRP can precisely identify patients at high risk of developing resistant hypertension, facilitating proactive rather than reactive clinical management.
May aid risk stratification in new hypertension; leaves open prospective validation before guiding therapy.
The purpose of this prospective cohort study was to determine the predictive capability of a set of biomarkers to detect patients that will ultimately develop resistant hypertension. Another objective was also to evaluate whether early biomarker risk stratification could reduce the psychological uncertainty associated with a “wait-and-see” treatment strategy. This study was carried out between February and October 2025 in specialized cardiovascular care centers in Amman and Irbid, Jordan. A total of 240 patients aged between 18 and 70 years with hypertension either newly diagnosed or uncontrolled by two antihypertensive drugs underwent standard stepped treatment. Pre-intervention tests included the determination of the plasma aldosterone renin ratio, N-terminal pro-brain natriuretic peptide, high-sensitivity C-reactive protein, plasma sodium, and urine sodium-to-creatinine ratio. Resistant hypertension after 24 weeks (uncontrolled hypertension despite use of three drugs or requiring four antihypertensives including a diuretic) served as the primary outcome. Of the 210 patients that completed follow-up visits, 48 (22.9%) had resistant hypertension. The aldosterone-to-renin ratio (AR) test, with an area under the curve of 0.79, showed the highest individual predictive capacity. Combining AR, NT-proBNP, hs-CRP, baseline systolic blood pressure, body mass index, and GFR results in an area under the curve of 0.86 (confidence interval: 0.91–0.81), a sensitivity of 81.3%, specificity of 82.7%, and negative predictive value of 92.7%. A negative predictive value of such an extent provides considerable assurance in the clinical setting, thereby helping rule out any form of treatment resistance. In a multivariate model, AR, NT-proBNP, hs-CRP, baseline systolic blood pressure, body mass index, and functional decline were found to be significant independent predictors of treatment resistance. Taken together, these results indicate that a baseline biomarker profile is able to precisely determine those individuals at high risk of developing resistant hypertension prior to the beginning of treatment. In this way, by adopting a preventive rather than reactive strategy, whereby the risk profile of each patient is evaluated before treatment, this solution makes clinical decision making easier while also reducing the psychological burden of prolonged, uncontrolled hypertension.
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Kholboyev et al. (2026) conducted a cohort in Hypertension (n=240). Baseline biomarker profile (AR, NT-proBNP, hs-CRP, blood pressure, BMI, GFR) was evaluated on Resistant hypertension after 24 weeks (uncontrolled despite 3 drugs or requiring 4 drugs) (AUC 0.86, 95% CI 0.91-0.81). A baseline biomarker profile including aldosterone-to-renin ratio, NT-proBNP, and hs-CRP predicted the development of resistant hypertension at 24 weeks with an area under the curve of 0.86.
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