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Predictive model for persistent hypertension after surgical intervention of primary aldosteronism

Primary aldosteronism (PA) is one of the most common causes of secondary hypertension and is potentially curable. However, a large number of patients still undergo persistent hypertension (PHT) after unilateral adrenal surgery. This research retrospectively studied the factors associated with this c...

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Autores principales: Li, Zhuoying, He, Yunfeng, Zhang, Yao, Chen, Gang, Zheng, Yongbo, Guo, Yuan, Quan, Zhen, Wu, Xiaohou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363150/
https://www.ncbi.nlm.nih.gov/pubmed/37481689
http://dx.doi.org/10.1038/s41598-023-39028-2
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author Li, Zhuoying
He, Yunfeng
Zhang, Yao
Chen, Gang
Zheng, Yongbo
Guo, Yuan
Quan, Zhen
Wu, Xiaohou
author_facet Li, Zhuoying
He, Yunfeng
Zhang, Yao
Chen, Gang
Zheng, Yongbo
Guo, Yuan
Quan, Zhen
Wu, Xiaohou
author_sort Li, Zhuoying
collection PubMed
description Primary aldosteronism (PA) is one of the most common causes of secondary hypertension and is potentially curable. However, a large number of patients still undergo persistent hypertension (PHT) after unilateral adrenal surgery. This research retrospectively studied the factors associated with this clinical difficulty and established a prediction model for the postoperative PHT; Methods: 353 patients from 2014 to 2021 with PA undergoing unilateral adrenal surgery were enrolled in this study. Clinical and biochemical characteristics were reviewed and the associating factors were examined using univariate and multivariate analysis. A nomogram-based prediction model was established correspondingly; results: 46.2% (163/190) of patients had post-surgical PHT. Multivariate analysis suggested that BMI ≥ 25, diabetes, duration of hypertension, male gender, and ARR were independent predictors of PHT after surgery. The prediction model based on the nomogram showed good discrimination ability (the C index of the training group and the validation group were 0.783 and 0.769, respectively), and the calibration curves and the Hosmer–Lemeshow test were good as well. Clinical usefulness was quantified using the decision curve analysis; This nomogram is an integration of the clinical and biochemical data of patients before surgery, and is a reliable tool with high accuracy for predicting the postoperative PHT in patients with PA.
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spelling pubmed-103631502023-07-24 Predictive model for persistent hypertension after surgical intervention of primary aldosteronism Li, Zhuoying He, Yunfeng Zhang, Yao Chen, Gang Zheng, Yongbo Guo, Yuan Quan, Zhen Wu, Xiaohou Sci Rep Article Primary aldosteronism (PA) is one of the most common causes of secondary hypertension and is potentially curable. However, a large number of patients still undergo persistent hypertension (PHT) after unilateral adrenal surgery. This research retrospectively studied the factors associated with this clinical difficulty and established a prediction model for the postoperative PHT; Methods: 353 patients from 2014 to 2021 with PA undergoing unilateral adrenal surgery were enrolled in this study. Clinical and biochemical characteristics were reviewed and the associating factors were examined using univariate and multivariate analysis. A nomogram-based prediction model was established correspondingly; results: 46.2% (163/190) of patients had post-surgical PHT. Multivariate analysis suggested that BMI ≥ 25, diabetes, duration of hypertension, male gender, and ARR were independent predictors of PHT after surgery. The prediction model based on the nomogram showed good discrimination ability (the C index of the training group and the validation group were 0.783 and 0.769, respectively), and the calibration curves and the Hosmer–Lemeshow test were good as well. Clinical usefulness was quantified using the decision curve analysis; This nomogram is an integration of the clinical and biochemical data of patients before surgery, and is a reliable tool with high accuracy for predicting the postoperative PHT in patients with PA. Nature Publishing Group UK 2023-07-22 /pmc/articles/PMC10363150/ /pubmed/37481689 http://dx.doi.org/10.1038/s41598-023-39028-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Zhuoying
He, Yunfeng
Zhang, Yao
Chen, Gang
Zheng, Yongbo
Guo, Yuan
Quan, Zhen
Wu, Xiaohou
Predictive model for persistent hypertension after surgical intervention of primary aldosteronism
title Predictive model for persistent hypertension after surgical intervention of primary aldosteronism
title_full Predictive model for persistent hypertension after surgical intervention of primary aldosteronism
title_fullStr Predictive model for persistent hypertension after surgical intervention of primary aldosteronism
title_full_unstemmed Predictive model for persistent hypertension after surgical intervention of primary aldosteronism
title_short Predictive model for persistent hypertension after surgical intervention of primary aldosteronism
title_sort predictive model for persistent hypertension after surgical intervention of primary aldosteronism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363150/
https://www.ncbi.nlm.nih.gov/pubmed/37481689
http://dx.doi.org/10.1038/s41598-023-39028-2
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