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Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018

Depression is of increasing concern as its prevalence increases. Our study’s objective was to create and evaluate a nomogram to predict the likelihood that hypertension patients may experience depression. 13293 people with hypertension who were under 20 years old were chosen from the National Health...

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Autores principales: Wang, Yicheng, Zhang, Yan, Ni, Binghang, Jiang, Yu, Ouyang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075444/
https://www.ncbi.nlm.nih.gov/pubmed/37018322
http://dx.doi.org/10.1371/journal.pone.0284113
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author Wang, Yicheng
Zhang, Yan
Ni, Binghang
Jiang, Yu
Ouyang, Yu
author_facet Wang, Yicheng
Zhang, Yan
Ni, Binghang
Jiang, Yu
Ouyang, Yu
author_sort Wang, Yicheng
collection PubMed
description Depression is of increasing concern as its prevalence increases. Our study’s objective was to create and evaluate a nomogram to predict the likelihood that hypertension patients may experience depression. 13293 people with hypertension who were under 20 years old were chosen from the National Health and Nutrition Examination Survey (NHANES) database between 2007 and 2018 for this study. The training and validation sets were split up into the dataset at random in a 7:3 ratio. To find independent predictors, univariate and multivariate logistic regression were employed on the training set. Using information from the validation set, nomogram was subsequently created and internally validated. The effectiveness of the nomogram is assessed using calibration curve and receiver operator characteristic (ROC) curve. Combining univariate logistic regression analysis and multifactor logistic regression analysis, the results showed that age, sex, race, marital, education level, sleep time on workdays, poverty to income ratio, smoking, alcohol consumption, sedentary time and heart failure status were risk factors for hypertensive patients suffering from depression and were included in the nomogram model, and ROC analysis showed that the AUC of the training set was 0.757 (0.797–0.586), with a sensitivity of 0.586; the AUC of the test set was 0.724 (0.712–0.626), with a sensitivity of 0.626, which was a good fit. Decision curve analysis further confirms the value of nomogram for clinical application. In the civilian non-institutionalized population of the United States, our study suggests a nomogram that can aid in predicting the likelihood of depression in hypertension patients and aiding in the selection of the most effective treatments.
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spelling pubmed-100754442023-04-06 Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018 Wang, Yicheng Zhang, Yan Ni, Binghang Jiang, Yu Ouyang, Yu PLoS One Research Article Depression is of increasing concern as its prevalence increases. Our study’s objective was to create and evaluate a nomogram to predict the likelihood that hypertension patients may experience depression. 13293 people with hypertension who were under 20 years old were chosen from the National Health and Nutrition Examination Survey (NHANES) database between 2007 and 2018 for this study. The training and validation sets were split up into the dataset at random in a 7:3 ratio. To find independent predictors, univariate and multivariate logistic regression were employed on the training set. Using information from the validation set, nomogram was subsequently created and internally validated. The effectiveness of the nomogram is assessed using calibration curve and receiver operator characteristic (ROC) curve. Combining univariate logistic regression analysis and multifactor logistic regression analysis, the results showed that age, sex, race, marital, education level, sleep time on workdays, poverty to income ratio, smoking, alcohol consumption, sedentary time and heart failure status were risk factors for hypertensive patients suffering from depression and were included in the nomogram model, and ROC analysis showed that the AUC of the training set was 0.757 (0.797–0.586), with a sensitivity of 0.586; the AUC of the test set was 0.724 (0.712–0.626), with a sensitivity of 0.626, which was a good fit. Decision curve analysis further confirms the value of nomogram for clinical application. In the civilian non-institutionalized population of the United States, our study suggests a nomogram that can aid in predicting the likelihood of depression in hypertension patients and aiding in the selection of the most effective treatments. Public Library of Science 2023-04-05 /pmc/articles/PMC10075444/ /pubmed/37018322 http://dx.doi.org/10.1371/journal.pone.0284113 Text en © 2023 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Yicheng
Zhang, Yan
Ni, Binghang
Jiang, Yu
Ouyang, Yu
Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018
title Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018
title_full Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018
title_fullStr Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018
title_full_unstemmed Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018
title_short Development and validation of a depression risk prediction nomogram for US Adults with hypertension, based on NHANES 2007–2018
title_sort development and validation of a depression risk prediction nomogram for us adults with hypertension, based on nhanes 2007–2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075444/
https://www.ncbi.nlm.nih.gov/pubmed/37018322
http://dx.doi.org/10.1371/journal.pone.0284113
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