Added predictive value of high uric acid for cardiovascular events in the Ambulatory Blood Pressure International Study.


Journal

Journal of clinical hypertension (Greenwich, Conn.)
ISSN: 1751-7176
Titre abrégé: J Clin Hypertens (Greenwich)
Pays: United States
ID NLM: 100888554

Informations de publication

Date de publication:
07 2019
Historique:
received: 07 02 2019
revised: 26 04 2019
accepted: 09 05 2019
pubmed: 7 6 2019
medline: 8 10 2020
entrez: 7 6 2019
Statut: ppublish

Résumé

The prognostic value of uric acid (UA) for cardiovascular events (CVE) is still debated. Our purpose was to investigate the association between UA and CVE in 5243 participants of the ABP-International study with the main aim of identifying optimal sex-specific cut-points. In multivariable Cox analyses, the relationship between CVE and UA as a continuous variable was modeled by including both linear and nonlinear terms. Survival models were also estimated with UA as a categorical variable. Optimal UA cut-points were determined using an outcome-oriented approach. During a median follow-up of 5.9 years, there were 423 CVE (93 fatal). In age- and sex-adjusted Cox models, UA as a continuous variable was a significant predictor of CVE in all individuals and in men and women considered separately. The relationship between UA and CVE was linear (P-value for nonlinearity 0.54 and 0.80 for men and women, respectively). For each 1 mg/dL increase in UA, the relative hazard increase was 16% in men and 19% in women. In fully adjusted models, UA remained a significant predictor of CVE in the whole study cohort. The optimal cut-point best separating patients at low and high risk of CVE was 6.3 mg/dL for men and 4.4 mg/dL for women. Subjects with high UA had a 38% greater risk of CVE. In a sex-specific analysis, the association remained significant only in men (hazard ratio, 1.47; P < 0.01). In conclusion, high UA is an independent predictor for subsequent CVE and significantly improves risk discrimination and reclassification over the baseline multivariable model.

Identifiants

pubmed: 31169986
doi: 10.1111/jch.13584
pmc: PMC8030500
doi:

Substances chimiques

Uric Acid 268B43MJ25

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

966-974

Informations de copyright

©2019 Wiley Periodicals, Inc.

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Auteurs

Gianpaolo Reboldi (G)

University of Perugia, Perugia, Italy.

Paolo Verdecchia (P)

Hospital S. Maria della Misericordia, Perugia, Italy.

Francesca Saladini (F)

University of Padova, Padua, Italy.

Marina Pane (M)

University of Perugia, Perugia, Italy.

Lawrence J Beilin (LJ)

University of Western Australia, Perth, Western Australia, Australia.

Kazuo Eguchi (K)

Jichi University, Tochigi, Japan.

Yutaka Imai (Y)

Tohoku University, Sendai, Japan.

Kazuomi Kario (K)

Jichi University, Tochigi, Japan.

Takayoshi Ohkubo (T)

Tohoku University, Sendai, Japan.
Shiga University of Medical Science, Otsu, Japan.

Sante D Pierdomenico (SD)

University of Chieti, Chieti, Italy.

Joseph E Schwartz (JE)

Columbia University, New York City, New York.
Stony Brook University, New York City, New York.

Lindon Wing (L)

Flinders University, Adelaide, South Australia, Australia.

Paolo Palatini (P)

University of Padova, Padua, Italy.

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