Publications by authors named "F Reche-Lorite"
Article Synopsis
- Stroke is a prevalent condition that often leads to significant disability, prompting the development of a predictive model using Spain’s Minimum Basic Data Set (MBDS) to assess ischaemic stroke mortality.
- The study involved external validation and recalibration of the predictive model with data from a later cohort (2016-2018), revealing a recalibrated model with an AUC of 0.743, indicating its ability to predict mortality.
- Key variables affecting mortality included age, gender, and pre-existing conditions like ischaemic heart disease and heart failure, demonstrating the model's moderate to high effectiveness in predicting patient outcomes.
Treatment with interferon-free direct-acting antivirals (DAA) has become the gold standard in chronic hepatitis C virus (HCV) infection. Nevertheless, little research about the metabolic impact of achieving sustained virological response (SVR) is available in HCV/HIV co-infected patients. This research aimed to evaluate early anthropometric, lipid and liver parameters changes after achieving SVR 12 weeks after treatment (SVR12).
View Article and Find Full Text PDFBackground: Stroke is the second cause of mortality worldwide and the first in women. The aim of this study is to develop a predictive model to estimate the risk of mortality in the admission of patients who have not received reperfusion treatment.
Methods: A retrospective cohort study was conducted of a clinical-administrative database, reflecting all cases of non-reperfused ischaemic stroke admitted to Spanish hospitals during the period 2008-2012.
Background And Purpose: It is well established that patient-related constitutional features predispose to focal peripheral neuropathies. Some of these risk factors were investigated in common focal neuropathies encountered in patients referred for electromyography.
Methods: Gender, age, height and body mass index (BMI) were analysed retrospectively as risk factors for 11 focal neuropathies.