Cargando…

Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy

Patients with masked hypertension (MH) and masked uncontrolled hypertension (MUCH) are easily overlooked, and both cause target organ damage. We propose a prediction model for MH and MUCH patients based on clinical features at a single outpatient visit. Data collection was planned before the index t...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Hong, Guo, Liang, Kong, Bin, Shuai, Wei, Huang, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750695/
https://www.ncbi.nlm.nih.gov/pubmed/36626526
http://dx.doi.org/10.1097/MD.0000000000032144
_version_ 1784850312683585536
author Meng, Hong
Guo, Liang
Kong, Bin
Shuai, Wei
Huang, He
author_facet Meng, Hong
Guo, Liang
Kong, Bin
Shuai, Wei
Huang, He
author_sort Meng, Hong
collection PubMed
description Patients with masked hypertension (MH) and masked uncontrolled hypertension (MUCH) are easily overlooked, and both cause target organ damage. We propose a prediction model for MH and MUCH patients based on clinical features at a single outpatient visit. Data collection was planned before the index test and reference standard were after. Thus, we retrospectively collect analyzed 804 subjects who underwent ambulatory blood pressure monitoring (ABPM) at Renmin Hospital of Wuhan University. These patients were divided into normotension/controlled hypertension group (n = 121), MH/MUCH (n = 347), and sustained hypertension (SH)/sustained uncontrolled hypertension group (SUCH) (n = 302) for baseline characteristic analysis. Models were constructed by logistic regression, a nomogram was visualized, and internal validation by bootstrapping. All groups were performed according to the definition proposed by the Chinese Hypertension Association. Compared with normotension/controlled hypertension, patients with MH/MUCH had higher office blood pressure (BP) and were more likely to have poor liver and kidney function, metabolic disorder and myocardial damage. By analysis, [office systolic blood pressure (OSBP)] (P = .004) and [office diastolic blood pressure (ODBP)] (P = .007) were independent predictors of MH and MUCH. By logistic regression backward stepping method, office BP, body mass index (BMI), total cholesterol (Tch), high-density lipoprotein cholesterol (HDL-C), and left ventricular mass index are contained in this model [area under curve (AUC) = 0.755] and its mean absolute error is 0.015. Therefore, the prediction model established by the clinical characteristics or relevant data obtained from a single outpatient clinic can accurately predict MH and MUCH.
format Online
Article
Text
id pubmed-9750695
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-97506952023-01-13 Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy Meng, Hong Guo, Liang Kong, Bin Shuai, Wei Huang, He Medicine (Baltimore) 3400 Patients with masked hypertension (MH) and masked uncontrolled hypertension (MUCH) are easily overlooked, and both cause target organ damage. We propose a prediction model for MH and MUCH patients based on clinical features at a single outpatient visit. Data collection was planned before the index test and reference standard were after. Thus, we retrospectively collect analyzed 804 subjects who underwent ambulatory blood pressure monitoring (ABPM) at Renmin Hospital of Wuhan University. These patients were divided into normotension/controlled hypertension group (n = 121), MH/MUCH (n = 347), and sustained hypertension (SH)/sustained uncontrolled hypertension group (SUCH) (n = 302) for baseline characteristic analysis. Models were constructed by logistic regression, a nomogram was visualized, and internal validation by bootstrapping. All groups were performed according to the definition proposed by the Chinese Hypertension Association. Compared with normotension/controlled hypertension, patients with MH/MUCH had higher office blood pressure (BP) and were more likely to have poor liver and kidney function, metabolic disorder and myocardial damage. By analysis, [office systolic blood pressure (OSBP)] (P = .004) and [office diastolic blood pressure (ODBP)] (P = .007) were independent predictors of MH and MUCH. By logistic regression backward stepping method, office BP, body mass index (BMI), total cholesterol (Tch), high-density lipoprotein cholesterol (HDL-C), and left ventricular mass index are contained in this model [area under curve (AUC) = 0.755] and its mean absolute error is 0.015. Therefore, the prediction model established by the clinical characteristics or relevant data obtained from a single outpatient clinic can accurately predict MH and MUCH. Lippincott Williams & Wilkins 2022-12-09 /pmc/articles/PMC9750695/ /pubmed/36626526 http://dx.doi.org/10.1097/MD.0000000000032144 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 3400
Meng, Hong
Guo, Liang
Kong, Bin
Shuai, Wei
Huang, He
Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy
title Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy
title_full Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy
title_fullStr Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy
title_full_unstemmed Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy
title_short Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy
title_sort nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: a study of diagnostic accuracy
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750695/
https://www.ncbi.nlm.nih.gov/pubmed/36626526
http://dx.doi.org/10.1097/MD.0000000000032144
work_keys_str_mv AT menghong nomogrambasedonclinicalfeaturesatasingleoutpatientvisittopredictmaskedhypertensionandmaskeduncontrolledhypertensionastudyofdiagnosticaccuracy
AT guoliang nomogrambasedonclinicalfeaturesatasingleoutpatientvisittopredictmaskedhypertensionandmaskeduncontrolledhypertensionastudyofdiagnosticaccuracy
AT kongbin nomogrambasedonclinicalfeaturesatasingleoutpatientvisittopredictmaskedhypertensionandmaskeduncontrolledhypertensionastudyofdiagnosticaccuracy
AT shuaiwei nomogrambasedonclinicalfeaturesatasingleoutpatientvisittopredictmaskedhypertensionandmaskeduncontrolledhypertensionastudyofdiagnosticaccuracy
AT huanghe nomogrambasedonclinicalfeaturesatasingleoutpatientvisittopredictmaskedhypertensionandmaskeduncontrolledhypertensionastudyofdiagnosticaccuracy