Publications by authors named "Erick Orozco-Acosta"

Systemic lupus erythematosus (SLE) is an autoimmune and multisystem disease with a high public health impact. Lupus nephritis (LN), commonly known as renal involvement in SLE, is associated with a poorer prognosis and increased rates of morbidity and mortality in patients with SLE. Identifying new urinary biomarkers that can be used for LN prognosis or diagnosis is essential and is part of current active research.

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Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very large obtaining predictions can be computationally intensive or even unfeasible using standard spatiotemporal models. The purpose of this paper is to provide a method for short-term predictions in high-dimensional areal data based on a newly proposed "divide-and-conquer" approach.

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Background And Objective: Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective of this paper is to propose a general procedure to analyze high-dimensional spatio-temporal areal data, with special emphasis on mortality/incidence relative risk estimation.

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Objective: To describe the relationship between neuropsychological variables and serum cortisol levels as a measure of physiological stress in patients with fibromyalgia.

Methodology: A sample of 60 women was intentionally selected: 30 with Fibromyalgia diagnosis and 30 with normal controls. Cortisol levels were determined using two blood samples (AM and PM) and a neuropsychological and emotional battery was applied with a standardized protocol in Colombian population to evaluate different cognitive domains.

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