ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Cardiovascular Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1687023
This article is part of the Research TopicHypertension and Endocrine Pathways: Molecular and Clinical PerspectivesView all articles
Construction and Validation of a Multimodal Predictive Model Incorporating Catecholamines and Uric Acid for Early Detection of Hypertensive Organ Damage
Provisionally accepted
- 1Henan Provincial People's Hospital, Henan, China
- 2Zhengzhou Hospital of Traditional Chinese Medicine, Zhengzhou, China
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Objective To investigate the feasibility and clinical value of constructing a predictive model for early detection of organ damage in hypertensive patients based on catecholamine-related indicators (norepinephrine, normetanephrine, metanephrine), serum uric acid, and other clinical parameters. Methods A total of 421 hypertensive patients were enrolled and divided into a training set (n=295) and a validation set (n=126) in a 7:3 ratio. Baseline data were collected, including catecholamine-related indicators (norepinephrine, epinephrine, normetanephrine, metanephrine), serum uric acid, blood pressure parameters, target organ structural markers (left ventricular posterior wall thickness, carotid intima-media thickness, etc.), and clinical characteristics. Organ damage (defined as left ventricular hypertrophy, carotid intima-media thickness ≥1.0 mm, or elevated serum creatinine) was set as the outcome event. Univariate and multivariate logistic regression analyses were performed to identify independent predictors, followed by the construction of a nomogram model for performance evaluation and validation. Results The incidence of organ damage was 44.07% (130/295) in the training set and 42.06% (53/126) in the validation set. Multivariate regression revealed that norepinephrine, normetanephrine, metanephrine, serum uric acid, serum creatinine, duration of hypertension, and cystatin C were independent predictors of organ damage (all P<0.05). The nomogram model demonstrated C-indices of 0.834 and 0.823 in the training and validation sets, respectively, with AUCs of 0.834 (95%CI: 0.779–0.888) and 0.823 (95%CI: 0.732–0.914). Sensitivity and specificity were 0.717 and 0.819 in the training set, and 0.711 and 0.776 in the validation set. Calibration curves indicated good agreement between predicted and observed values, with Hosmer-Lemeshow test P-values of 0.617 and 0.472, respectively. Conclusion The predictive model constructed based on relevant indicators such as catecholamines and serum uric acid in this study can effectively predict the risk of organ damage in hypertensive patients, intervene early, and provide quantitative basis for clinical decision-making.
Keywords: Hypertension, organ damage, catecholamine, Serum uric acid, predictive model
Received: 16 Aug 2025; Accepted: 23 Sep 2025.
Copyright: © 2025 Wang, Zhao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Haiying Zhao, qwt123579432@163.com
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