Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram

Background. This study aims to evaluate the risk factors associated with untreated hypertension and develop and internally validate untreated risk nomograms in patients with hypertension among primary health care of less developed Northwest China. Methods. A total of 895 eligible patients with hyper...

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Main Authors: Lin Wang, Mulalibieke Heizhati, Xintian Cai, Mei Li, Zhikang Yang, Zhongrong Wang, Reyila Abudereyimu, Nanfang Li
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:International Journal of Hypertension
Online Access:http://dx.doi.org/10.1155/2021/6613231
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spelling doaj-e0b293fe868d4affac260ca2d5ccc5a22021-04-26T00:03:47ZengHindawi LimitedInternational Journal of Hypertension2090-03922021-01-01202110.1155/2021/6613231Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive NomogramLin Wang0Mulalibieke Heizhati1Xintian Cai2Mei Li3Zhikang Yang4Zhongrong Wang5Reyila Abudereyimu6Nanfang Li7Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionHypertension Center of People’s Hospital of Xinjiang Uygur Autonomous RegionBackground. This study aims to evaluate the risk factors associated with untreated hypertension and develop and internally validate untreated risk nomograms in patients with hypertension among primary health care of less developed Northwest China. Methods. A total of 895 eligible patients with hypertension in primary health care of less developed Northwest China were divided into a training set (n = 626) and a validation set (n = 269). Untreated hypertension was defined as not taking antihypertensive medication during the past two weeks. Using least absolute shrinkage and selection operator (LASSO) regression model, we identified the optimized risk factors of nontreatment, followed by establishment of a prediction nomogram. The discriminative ability, calibration, and clinical usefulness were determined using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision analysis. The results were assessed by internal validation in the validation set. Results. Five independent risk factors were derived from LASSO regression model and entered into the nomogram: age, herdsman, family income per member, altitude of habitation, and comorbidity. The nomogram displayed a robust discrimination with an AUC of 0.859 (95% confidence interval: 0.812–0.906) and good calibration. The nomogram was clinically useful when the intervention was decided at the untreated possibility threshold of 7% to 91% in the decision curve analysis. Results were confirmed by internal validation. Conclusions. Our nomogram showed favorable predictive accuracy for untreated hypertension in primary health care of less developed Northwest China and might help primary health care assess the risk of nontreatment in patients with hypertension.http://dx.doi.org/10.1155/2021/6613231
collection DOAJ
language English
format Article
sources DOAJ
author Lin Wang
Mulalibieke Heizhati
Xintian Cai
Mei Li
Zhikang Yang
Zhongrong Wang
Reyila Abudereyimu
Nanfang Li
spellingShingle Lin Wang
Mulalibieke Heizhati
Xintian Cai
Mei Li
Zhikang Yang
Zhongrong Wang
Reyila Abudereyimu
Nanfang Li
Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram
International Journal of Hypertension
author_facet Lin Wang
Mulalibieke Heizhati
Xintian Cai
Mei Li
Zhikang Yang
Zhongrong Wang
Reyila Abudereyimu
Nanfang Li
author_sort Lin Wang
title Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram
title_short Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram
title_full Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram
title_fullStr Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram
title_full_unstemmed Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram
title_sort barriers to access to treatment for hypertensive patients in primary health care of less developed northwest china: a predictive nomogram
publisher Hindawi Limited
series International Journal of Hypertension
issn 2090-0392
publishDate 2021-01-01
description Background. This study aims to evaluate the risk factors associated with untreated hypertension and develop and internally validate untreated risk nomograms in patients with hypertension among primary health care of less developed Northwest China. Methods. A total of 895 eligible patients with hypertension in primary health care of less developed Northwest China were divided into a training set (n = 626) and a validation set (n = 269). Untreated hypertension was defined as not taking antihypertensive medication during the past two weeks. Using least absolute shrinkage and selection operator (LASSO) regression model, we identified the optimized risk factors of nontreatment, followed by establishment of a prediction nomogram. The discriminative ability, calibration, and clinical usefulness were determined using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision analysis. The results were assessed by internal validation in the validation set. Results. Five independent risk factors were derived from LASSO regression model and entered into the nomogram: age, herdsman, family income per member, altitude of habitation, and comorbidity. The nomogram displayed a robust discrimination with an AUC of 0.859 (95% confidence interval: 0.812–0.906) and good calibration. The nomogram was clinically useful when the intervention was decided at the untreated possibility threshold of 7% to 91% in the decision curve analysis. Results were confirmed by internal validation. Conclusions. Our nomogram showed favorable predictive accuracy for untreated hypertension in primary health care of less developed Northwest China and might help primary health care assess the risk of nontreatment in patients with hypertension.
url http://dx.doi.org/10.1155/2021/6613231
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