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Risk Prediction Model for Uncontrolled Hypertension in Chinese Community
BACKGROUND: Uncontrolled hypertension rate was still high across China. This study develops and validates an index to help quantify the combination of socio-behavioral aspects to screen high-risk patients in uncontrolled hypertension in Chinese primary care. METHODS: A cross-sectional study included...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818737/ https://www.ncbi.nlm.nih.gov/pubmed/35141294 http://dx.doi.org/10.3389/fcvm.2021.808071 |
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author | Gao, Zhiping Chen, Shiqun Huang, Xiaoyu Ye, Jianfeng Liu, Jin Huang, Zhidong Chen, Jiyan Li, Liwen Liu, Yong Lin, Shuguang |
author_facet | Gao, Zhiping Chen, Shiqun Huang, Xiaoyu Ye, Jianfeng Liu, Jin Huang, Zhidong Chen, Jiyan Li, Liwen Liu, Yong Lin, Shuguang |
author_sort | Gao, Zhiping |
collection | PubMed |
description | BACKGROUND: Uncontrolled hypertension rate was still high across China. This study develops and validates an index to help quantify the combination of socio-behavioral aspects to screen high-risk patients in uncontrolled hypertension in Chinese primary care. METHODS: A cross-sectional study included 1,039 of patients with hypertension in the Chinese community. We assessed independent risk factors of uncontrolled blood pressure (defined as having a blood pressure ≥140/90 mmHg, even with antihypertensive therapy) and develop a risk prediction model. RESULTS: Among the 1,039 patients (53.9% male, the average age was 61 ± 13 years), 452 (43.5%) were uncontrolled hypertensive. Multivariable analysis showed that worker (odds ratio, OR: 1.98, 95% CI: 1.46–2.69), no health insurance (OR: 3.47, 95% CI: 2.08–5.80), non-marital status (OR: 2.01, 95% CI: 1.35–3.27), and other socio-behavioral aspects were independent risk factors of uncontrolled hypertension, which were included the final prediction model (C-static: 0.781). With internal validation by the bootstrap method, the risk score showed good discriminating ability and predicting ability for the incidence of uncontrolled hypertension (C-static: 0.771). CONCLUSIONS: This study showed that nearly half of the patients suffered from uncontrolled hypertension in the Chinese community. We established a prediction model with good predictability to help quantify the combination of socio-behavioral aspects and screen high-risk patients with uncontrolled hypertension. |
format | Online Article Text |
id | pubmed-8818737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88187372022-02-08 Risk Prediction Model for Uncontrolled Hypertension in Chinese Community Gao, Zhiping Chen, Shiqun Huang, Xiaoyu Ye, Jianfeng Liu, Jin Huang, Zhidong Chen, Jiyan Li, Liwen Liu, Yong Lin, Shuguang Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Uncontrolled hypertension rate was still high across China. This study develops and validates an index to help quantify the combination of socio-behavioral aspects to screen high-risk patients in uncontrolled hypertension in Chinese primary care. METHODS: A cross-sectional study included 1,039 of patients with hypertension in the Chinese community. We assessed independent risk factors of uncontrolled blood pressure (defined as having a blood pressure ≥140/90 mmHg, even with antihypertensive therapy) and develop a risk prediction model. RESULTS: Among the 1,039 patients (53.9% male, the average age was 61 ± 13 years), 452 (43.5%) were uncontrolled hypertensive. Multivariable analysis showed that worker (odds ratio, OR: 1.98, 95% CI: 1.46–2.69), no health insurance (OR: 3.47, 95% CI: 2.08–5.80), non-marital status (OR: 2.01, 95% CI: 1.35–3.27), and other socio-behavioral aspects were independent risk factors of uncontrolled hypertension, which were included the final prediction model (C-static: 0.781). With internal validation by the bootstrap method, the risk score showed good discriminating ability and predicting ability for the incidence of uncontrolled hypertension (C-static: 0.771). CONCLUSIONS: This study showed that nearly half of the patients suffered from uncontrolled hypertension in the Chinese community. We established a prediction model with good predictability to help quantify the combination of socio-behavioral aspects and screen high-risk patients with uncontrolled hypertension. Frontiers Media S.A. 2022-01-24 /pmc/articles/PMC8818737/ /pubmed/35141294 http://dx.doi.org/10.3389/fcvm.2021.808071 Text en Copyright © 2022 Gao, Chen, Huang, Ye, Liu, Huang, Chen, Li, Liu and Lin. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Cardiovascular Medicine Gao, Zhiping Chen, Shiqun Huang, Xiaoyu Ye, Jianfeng Liu, Jin Huang, Zhidong Chen, Jiyan Li, Liwen Liu, Yong Lin, Shuguang Risk Prediction Model for Uncontrolled Hypertension in Chinese Community |
title | Risk Prediction Model for Uncontrolled Hypertension in Chinese Community |
title_full | Risk Prediction Model for Uncontrolled Hypertension in Chinese Community |
title_fullStr | Risk Prediction Model for Uncontrolled Hypertension in Chinese Community |
title_full_unstemmed | Risk Prediction Model for Uncontrolled Hypertension in Chinese Community |
title_short | Risk Prediction Model for Uncontrolled Hypertension in Chinese Community |
title_sort | risk prediction model for uncontrolled hypertension in chinese community |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818737/ https://www.ncbi.nlm.nih.gov/pubmed/35141294 http://dx.doi.org/10.3389/fcvm.2021.808071 |
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