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Study of the metabolic syndrome severity index as a predictive factor of a major cardiovascular event in premenopausal women with systemic lupus erythematosus.
Medicina Clínica 2024 May 2
BACKGROUND: Patients with systemic lupus erythematosus (SLE) have an increased risk of metabolic syndrome (MS) and cardiovascular (CV) disease. MS is evaluated binary, limiting the understanding of each component's severity individually. Therefore, severity scores for MS that evaluate them separately have been developed. This study aims to determine the prognosis between MS severity and the occurrence of major adverse cardiovascular events (MACE) in SLE patients.
METHODS: Ten-year follow-up cohort study. Premenopausal>18-year-old women with a previous diagnosis of SLE were included. Patients with recent CV events, pregnancy, thyroid disease, and liposuction were excluded. The variables of interest were CV events; the confounding variables, and the MS severity indexes were examined. Hazard ratios and Kaplan-Meier survival curves were estimated through Cox regression.
RESULTS: A total of 238 women were analyzed: 22 presented MACE, and 216 did not. MS prevalence, measured according to consensus and ATP-III criteria, was higher in MACE patients (50 and 40,95%, respectively). The MetSx-IMC severity index was higher within the MACE group. Cox analysis showed an increase in the MetSx-IMC associated with the risk of suffering MACE in a 1.107 ratio.
CONCLUSIONS: The MetSx-IMC severity index, contrary to the binary approaches, is recommended to evaluate MS as a predictor of MACE in SLE patients. Offering improved and more accurate prognosis in patients at risk of developing MCE.
METHODS: Ten-year follow-up cohort study. Premenopausal>18-year-old women with a previous diagnosis of SLE were included. Patients with recent CV events, pregnancy, thyroid disease, and liposuction were excluded. The variables of interest were CV events; the confounding variables, and the MS severity indexes were examined. Hazard ratios and Kaplan-Meier survival curves were estimated through Cox regression.
RESULTS: A total of 238 women were analyzed: 22 presented MACE, and 216 did not. MS prevalence, measured according to consensus and ATP-III criteria, was higher in MACE patients (50 and 40,95%, respectively). The MetSx-IMC severity index was higher within the MACE group. Cox analysis showed an increase in the MetSx-IMC associated with the risk of suffering MACE in a 1.107 ratio.
CONCLUSIONS: The MetSx-IMC severity index, contrary to the binary approaches, is recommended to evaluate MS as a predictor of MACE in SLE patients. Offering improved and more accurate prognosis in patients at risk of developing MCE.
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