Cargando…
Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China
OBJECTIVE: The current study was to design a cardiovascular risk score for the diagnosis of coronary heart disease (CHD) in the rural area of China and the sensitivity and specificity of this score would be assessed. METHODS: A total of 520 patients were enrolled and based on the results from corona...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907025/ https://www.ncbi.nlm.nih.gov/pubmed/35282649 http://dx.doi.org/10.2147/IJGM.S355573 |
_version_ | 1784665547448778752 |
---|---|
author | Liao, Huocheng Chen, Qiuyue Liu, Lin Zhong, Sigan Xiao, Chun |
author_facet | Liao, Huocheng Chen, Qiuyue Liu, Lin Zhong, Sigan Xiao, Chun |
author_sort | Liao, Huocheng |
collection | PubMed |
description | OBJECTIVE: The current study was to design a cardiovascular risk score for the diagnosis of coronary heart disease (CHD) in the rural area of China and the sensitivity and specificity of this score would be assessed. METHODS: A total of 520 patients were enrolled and based on the results from coronary artery angiography, patients were divided into three groups: CHD group (coronary artery ≥50% stenosis), atherosclerosis group (coronary artery <50% stenosis) and normal groups (without stenosis). Between-group differences were evaluated and the sensitivity and specificity of cardiovascular risk score were evaluated. RESULTS: Compared to the normal and atherosclerosis groups, patients in the CHD group were older, had higher body mass index, and more likely to be smoking and obese, and had dyslipidemia, hypertension and diabetes, and had higher cardiovascular risk score (4.05 ± 2.15 vs 2.94 ± 1.90 vs 2.54 ± 1.59). Patients in the CHD group were more likely to have cardiovascular risk scores ≥2 (90.2% CHD group vs 74.2% atherosclerosis group vs 76.1% normal group, P < 0.05). The area under the ROC was 0.673, with 95% confidence interval was 0.623–0.722 (P < 0.001), and the sensitivity and specificity were highest when the cardiovascular risk score was 4, indicating that the value of cardiovascular risk score of 4 was a good cutoff point for CHD diagnosis. CONCLUSION: Using cardiovascular risk score can improve CHD diagnosis which may help to reduce health disparities between rural and urban area. |
format | Online Article Text |
id | pubmed-8907025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-89070252022-03-11 Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China Liao, Huocheng Chen, Qiuyue Liu, Lin Zhong, Sigan Xiao, Chun Int J Gen Med Original Research OBJECTIVE: The current study was to design a cardiovascular risk score for the diagnosis of coronary heart disease (CHD) in the rural area of China and the sensitivity and specificity of this score would be assessed. METHODS: A total of 520 patients were enrolled and based on the results from coronary artery angiography, patients were divided into three groups: CHD group (coronary artery ≥50% stenosis), atherosclerosis group (coronary artery <50% stenosis) and normal groups (without stenosis). Between-group differences were evaluated and the sensitivity and specificity of cardiovascular risk score were evaluated. RESULTS: Compared to the normal and atherosclerosis groups, patients in the CHD group were older, had higher body mass index, and more likely to be smoking and obese, and had dyslipidemia, hypertension and diabetes, and had higher cardiovascular risk score (4.05 ± 2.15 vs 2.94 ± 1.90 vs 2.54 ± 1.59). Patients in the CHD group were more likely to have cardiovascular risk scores ≥2 (90.2% CHD group vs 74.2% atherosclerosis group vs 76.1% normal group, P < 0.05). The area under the ROC was 0.673, with 95% confidence interval was 0.623–0.722 (P < 0.001), and the sensitivity and specificity were highest when the cardiovascular risk score was 4, indicating that the value of cardiovascular risk score of 4 was a good cutoff point for CHD diagnosis. CONCLUSION: Using cardiovascular risk score can improve CHD diagnosis which may help to reduce health disparities between rural and urban area. Dove 2022-03-05 /pmc/articles/PMC8907025/ /pubmed/35282649 http://dx.doi.org/10.2147/IJGM.S355573 Text en © 2022 Liao et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Liao, Huocheng Chen, Qiuyue Liu, Lin Zhong, Sigan Xiao, Chun Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China |
title | Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China |
title_full | Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China |
title_fullStr | Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China |
title_full_unstemmed | Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China |
title_short | Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China |
title_sort | utilization of risk scores for coronary heart disease diagnosis in rural china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907025/ https://www.ncbi.nlm.nih.gov/pubmed/35282649 http://dx.doi.org/10.2147/IJGM.S355573 |
work_keys_str_mv | AT liaohuocheng utilizationofriskscoresforcoronaryheartdiseasediagnosisinruralchina AT chenqiuyue utilizationofriskscoresforcoronaryheartdiseasediagnosisinruralchina AT liulin utilizationofriskscoresforcoronaryheartdiseasediagnosisinruralchina AT zhongsigan utilizationofriskscoresforcoronaryheartdiseasediagnosisinruralchina AT xiaochun utilizationofriskscoresforcoronaryheartdiseasediagnosisinruralchina |