Cargando…
Waist circumference does not improve established cardiovascular disease risk prediction modeling
Despite considerable evidence demonstrating that waist circumference (WC) is independently associated with cardiovascular disease (CVD) and/or all-cause mortality, whether the addition of WC improves risk prediction models is unclear. The objective was to evaluate the improvement in risk prediction...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531816/ https://www.ncbi.nlm.nih.gov/pubmed/33007042 http://dx.doi.org/10.1371/journal.pone.0240214 |
_version_ | 1783589803444404224 |
---|---|
author | Nelms, Matthew W. Day, Andrew G. Sui, Xuemei Blair, Steven N. Ross, Robert |
author_facet | Nelms, Matthew W. Day, Andrew G. Sui, Xuemei Blair, Steven N. Ross, Robert |
author_sort | Nelms, Matthew W. |
collection | PubMed |
description | Despite considerable evidence demonstrating that waist circumference (WC) is independently associated with cardiovascular disease (CVD) and/or all-cause mortality, whether the addition of WC improves risk prediction models is unclear. The objective was to evaluate the improvement in risk prediction with the addition of WC, alone or in combination with BMI, to the Framingham Risk Score (FRS) and a population specific model. 34,377 men and 9,477 women aged 20 to 79 years who completed a baseline examination at the Cooper Clinic (Dallas, TX) during 1977–2003 and enrolled in the Aerobics Center Longitudinal Study (ACLS). WC was measured at the level of the umbilicus and expressed as a continuous variable. Deaths among participants were identified using the National Center for Health Statistics National Death Index. A total of 728 fatal cardiovascular disease (CVD) events occurred over a mean follow-up period of 13.1 ± 7.5 years. WC was significantly higher in CVD decedents (P = .002). The FRS C-statistic for fatal CVD in men was 0.836 (0.816–0.855) and 0.883 (0.851–0.915) in women. The addition of WC did not improve the C-statistic in men (0.831 (0.809–0.853)) or women (0.883 (0.850–0.916)). Similar findings were observed for non-fatal CVD and all-cause mortality, and when WC was added to a population specific model. Upon adding WC, the net-reclassification index was 0.024 with an integrated discrimination improvement of -0.0004. The addition of WC, alone or in combination with BMI, did not substantively improve risk prediction for CVD or all-cause mortality compared to the Framingham Risk Score or a population specific model. |
format | Online Article Text |
id | pubmed-7531816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75318162020-10-08 Waist circumference does not improve established cardiovascular disease risk prediction modeling Nelms, Matthew W. Day, Andrew G. Sui, Xuemei Blair, Steven N. Ross, Robert PLoS One Research Article Despite considerable evidence demonstrating that waist circumference (WC) is independently associated with cardiovascular disease (CVD) and/or all-cause mortality, whether the addition of WC improves risk prediction models is unclear. The objective was to evaluate the improvement in risk prediction with the addition of WC, alone or in combination with BMI, to the Framingham Risk Score (FRS) and a population specific model. 34,377 men and 9,477 women aged 20 to 79 years who completed a baseline examination at the Cooper Clinic (Dallas, TX) during 1977–2003 and enrolled in the Aerobics Center Longitudinal Study (ACLS). WC was measured at the level of the umbilicus and expressed as a continuous variable. Deaths among participants were identified using the National Center for Health Statistics National Death Index. A total of 728 fatal cardiovascular disease (CVD) events occurred over a mean follow-up period of 13.1 ± 7.5 years. WC was significantly higher in CVD decedents (P = .002). The FRS C-statistic for fatal CVD in men was 0.836 (0.816–0.855) and 0.883 (0.851–0.915) in women. The addition of WC did not improve the C-statistic in men (0.831 (0.809–0.853)) or women (0.883 (0.850–0.916)). Similar findings were observed for non-fatal CVD and all-cause mortality, and when WC was added to a population specific model. Upon adding WC, the net-reclassification index was 0.024 with an integrated discrimination improvement of -0.0004. The addition of WC, alone or in combination with BMI, did not substantively improve risk prediction for CVD or all-cause mortality compared to the Framingham Risk Score or a population specific model. Public Library of Science 2020-10-02 /pmc/articles/PMC7531816/ /pubmed/33007042 http://dx.doi.org/10.1371/journal.pone.0240214 Text en © 2020 Nelms et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Nelms, Matthew W. Day, Andrew G. Sui, Xuemei Blair, Steven N. Ross, Robert Waist circumference does not improve established cardiovascular disease risk prediction modeling |
title | Waist circumference does not improve established cardiovascular disease risk prediction modeling |
title_full | Waist circumference does not improve established cardiovascular disease risk prediction modeling |
title_fullStr | Waist circumference does not improve established cardiovascular disease risk prediction modeling |
title_full_unstemmed | Waist circumference does not improve established cardiovascular disease risk prediction modeling |
title_short | Waist circumference does not improve established cardiovascular disease risk prediction modeling |
title_sort | waist circumference does not improve established cardiovascular disease risk prediction modeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531816/ https://www.ncbi.nlm.nih.gov/pubmed/33007042 http://dx.doi.org/10.1371/journal.pone.0240214 |
work_keys_str_mv | AT nelmsmattheww waistcircumferencedoesnotimproveestablishedcardiovasculardiseaseriskpredictionmodeling AT dayandrewg waistcircumferencedoesnotimproveestablishedcardiovasculardiseaseriskpredictionmodeling AT suixuemei waistcircumferencedoesnotimproveestablishedcardiovasculardiseaseriskpredictionmodeling AT blairstevenn waistcircumferencedoesnotimproveestablishedcardiovasculardiseaseriskpredictionmodeling AT rossrobert waistcircumferencedoesnotimproveestablishedcardiovasculardiseaseriskpredictionmodeling |