Riesgo cardiovascular residual de origen lipídico. Componentes y aspectos fisiopatológicos

Hernández‐Mijares, Antonio; Ascaso, Juan F.; Blasco, Mariano; Brea, Ángel; Díaz, Ángel; Mantilla, Teresa; Pedro‐Botet, Juan; Pintó, Xavier; Millán, Jesús

doi:10.1016/j.arteri.2018.06.007

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Vldl Accumulation Promotes Pro-atherogenic Changes In Other Plasma Lipoproteins (High-density Lipoproteins [Hdl] and Ldl) By Acc1

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Cited by 3 publications

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“…SdLDLs, containing less cholesterol, will easily enter and be trapped compared to the larger LDLs, which contain more cholesterol. On the other hand, the larger LDLs carry more cholesterol that will be released in the injured artery wall, causing more tissue damage 23 . Therefore, both large and small LDLs contribute to atherogenesis but mechanisms may differ between LDL classes.…”

Section: Vldl Accumulation Promotes Pro-atherogenic Changes In Other Plasma Lipoproteins (High-density Lipoproteins [Hdl] and Ldl) By Accmentioning

confidence: 99%

Triglyceride-Rich Lipoproteins: Their Role in Atherosclerosis

Castillo-Núñez¹,

Morales-Villegas²,

Aguilar-Salinas³

2022

RIC

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Section: Vldl Accumulation Promotes Pro-atherogenic Changes In Other Plasma Lipoproteins (High-density Lipoproteins [Hdl] and Ldl) By Accmentioning

confidence: 99%

Triglyceride-Rich Lipoproteins: Their Role in Atherosclerosis

Castillo-Núñez¹,

Morales-Villegas²,

Aguilar-Salinas³

2022

RIC

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Evaluation of Lipoprotein Profile and Residual Risk Three Years After Bariatric Surgery

et al. 2021

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Mathematical modeling for the prediction of cerebral white matter lesions based on clinical examination data

et al. 2019

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Cerebral white matter lesions are ischemic symptoms caused mainly by microangiopathy; they are diagnosed by MRI because they show up as abnormalities in MRI images. Because patients with white matter lesions do not have any symptoms, MRI often detects the lesions for the first time. Generally, head MRI for the diagnosis and grading of cerebral white matter lesions is performed as an option during medical checkups in Japan. In this study, we develop a mathematical model for the prediction of white matter lesions using data from routine medical evaluations that do not include a head MRI. Linear discriminant analysis, logistic discrimination, Naive Bayes classifier, support vector machine, and random forest were investigated and evaluated by ten-fold cross-validation, using clinical data for 1,904 examinees (988 males and 916 females) from medical checkups that did include the head MRI. The logistic regression model was selected based on a comparison of accuracy and interpretability. The model variables consisted of age, gender, plaque score (PS), LDL, systolic blood pressure (SBP), and administration of antihypertensive medication (odds ratios: 2.99, 1.57, 1.18, 1.06, 1.12, and 1.52, respectively) and showed Areas Under the ROC Curve (AUC) 0.805, the model displayed sensitivity of 72.0%, and specificity 75.1% when the most appropriate cutoff value was used, 0.579 as given by the Youden Index. This model has shown to be useful to identify patients with a high-risk of cerebral white matter lesions, who can then be diagnosed with a head MRI examination in order to prevent dementia, cerebral infarction, and stroke.

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Riesgo cardiovascular residual de origen lipídico. Componentes y aspectos fisiopatológicos

Abstract: ARTERI-457; No. of Pages 14 2 A. Hernández-Mijares et al. los fármacos dirigidos al descenso de triglicéridos y cHDL; el fenofibrato parece tener eficacia en situaciones de dislipidemia aterogénica.

Cited by 3 publications

References 111 publications

Triglyceride-Rich Lipoproteins: Their Role in Atherosclerosis

Triglyceride-Rich Lipoproteins: Their Role in Atherosclerosis

Evaluation of Lipoprotein Profile and Residual Risk Three Years After Bariatric Surgery

Mathematical modeling for the prediction of cerebral white matter lesions based on clinical examination data

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