Publications by authors named "Olga Minguez"

Introduction: Understanding the diverse pathogenetic pathways in obstructive sleep apnea (OSA) is crucial for improving outcomes. microRNA (miRNA) profiling is a promising strategy for elucidating these mechanisms.

Objective: To characterize the pathogenetic pathways linked to OSA through the integration of miRNA profiles, machine learning (ML) and bioinformatics.

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Rationale: Although obstructive sleep apnea (OSA) is a prevalent condition among patients with acute coronary syndrome (ACS), the impact of OSA on cardiovascular event (CVE) recurrence is not homogeneous. We previously defined a specific phenotype of first-ACS patients without previous cardiovascular disease who are at increased risk of OSA-related CVE recurrence. However, the pathobiological mechanisms whereby OSA leads to adverse cardiovascular outcomes in this singular ACS phenotype remain to be investigated.

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Introduction: Among all patients with hypertension, those with resistant hypertension (RH) have the highest rates of subclinical organ damage (SOD). The prevalence of obstructive sleep apnea (OSA) is high in RH patients, and it could contribute to SOD. We aimed to investigate how OSA and its treatment are related to SOD in a large cohort of RH patients.

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Background: There is a close relationship between obstructive sleep apnoea (OSA) and resistant hypertension (RH). However, studies assessing the long-term effect of diagnosing and treating OSA on blood pressure (BP) control in these patients are lacking.

Methods: To address this gap, we recruited 478 RH patients from hypertension units and followed them prospectively after they were screened for OSA through a sleep study.

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Article Synopsis
  • Alzheimer's disease (AD) is a neurodegenerative disorder that currently relies on invasive CSF biomarkers for diagnosis, which makes screening challenging; recent studies propose using quantitative sleep EEG features and machine learning for a non-invasive alternative.* ! -
  • The study involved mild-moderate AD patients who underwent polysomnography (PSG) and biomarker testing, analyzing PSG signals using various machine learning algorithms with different combinations of clinical and PSG-derived features to predict CSF biomarkers.* ! -
  • Results showed that Gradient Boosting Regressors were most effective for estimating biomarker levels, employing specific loss functions tailored to each biomarker type, indicating a promising direction for non-invasive AD detection methods.* !
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Article Synopsis
  • * Out of 260 ICU patients, 43.1% displayed poor sleep quality one year later, with longer ICU stays and mechanical ventilation correlating with greater disruptions in circadian rhythms at this follow-up.
  • * Significant links were found between poor sleep quality and anxiety/depression levels, as well as the fragmentation of circadian rhythms and lung function, emphasizing ongoing health challenges for critical survivors.
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A non-dipping blood pressure (BP) pattern, which is frequently present in patients with obstructive sleep apnea (OSA), confers high cardiovascular risk. The mechanisms connecting these two conditions remain unclear. In the present study we performed a comprehensive analysis of the blood metabolipidome that aims to provide new insights into the molecular link between OSA and the dysregulation of circadian BP rhythmicity.

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Background: Hypoxic burden (HB) has emerged as a strong predictor of cardiovascular risk in obstructive sleep apnoea (OSA). We aimed to assess the potential of HB to predict the cardiovascular benefit of treating OSA with continuous positive airway pressure (CPAP).

Methods: This was a analysis of the ISAACC trial (ClinicalTrials.

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Background: Obstructive sleep apnoea (OSA) has a high prevalence in patients with Alzheimer's disease (AD). Both conditions have been shown to be associated with lipid dysregulation. However, the relationship between OSA severity and alterations in lipid metabolism in the brains of patients with AD has yet to be fully elucidated.

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Article Synopsis
  • The study investigates how obstructive sleep apnea (OSA) affects Alzheimer's disease (AD) patients by analyzing the impact of different breathing events on sleep structure and cognitive decline.
  • Conducted with 116 mild-moderate AD patients, the study used polysomnography and cerebrospinal fluid analysis to identify links between apnea events and AD markers.
  • Results show that obstructive apneas and hypopneas disrupt sleep patterns, with hypopneas significantly contributing to cognitive decline over a year, emphasizing the need for tailored patient care in managing AD alongside sleep disorders.
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Persistence of bovine tuberculosis (bTB) in cattle herd remains a major challenge in disease elimination due to the ineffectual removal of all infected animals in a bTB breakdown. Characterization of herds with a higher probability of experiencing further bTB breakdowns can help to implement specific risk-based policies for disease control and eradication. Here, our aim was to identify herd- and breakdown-level risk factors in bTB infected herds in Castilla y Leon, Spain, associated with a decreased time to recurrence and an increased risk of recurrence using a mixed effects Cox proportional hazards model and a multivariable logistic regression model, respectively.

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We characterized the polysomnography (PSG) parameters associated with alterations in the circadian blood pressure (BP) pattern aiming to identify the main contributors to explain the nondipper profile in obstructive sleep apnea (OSA). This is an observational prospective-multicenter study that included participants referred to the sleep unit for suspected OSA. Following a PSG study, subjects with an apnea-hypopnea index (AHI) ≥5 events/hr were included.

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Background: Obstructive sleep apnea (OSA) is associated with a recurrent cardiovascular event (CVE) risk in patients with a first acute coronary syndrome (ACS). However, the pathological pathways by which OSA promotes this deleterious role are unknown. We aim to explore the proteomic profile associated with OSA that promote the recurrent CVE risk in severe OSA patients with ACS without previous cardiovascular diseases.

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Article Synopsis
  • Obstructive sleep apnea (OSA) is common in Alzheimer’s disease (AD) patients and both conditions may affect lipid metabolism, prompting an investigation into lipid differences between AD patients with and without severe OSA.
  • The study involved 103 AD patients, assessed for severe OSA via polysomnography and their blood lipid profiles analyzed with advanced techniques.
  • A specific 4-lipid signature was found that accurately detected severe OSA, enhancing existing screening methods and suggesting a new approach for personalized patient management.
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The long-term clinical management and evolution of a cohort of critical COVID-19 survivors have not been described in detail. We report a prospective observational study of COVID-19 patients admitted to the ICU between March and August 2020. The follow-up in a post-COVID consultation comprised symptoms, pulmonary function tests, the 6-minute walking test (6MWT), and chest computed tomography (CT).

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Introduction: Obstructive sleep apnea (OSA) severity is based on the apnea-hypopnea index (AHI). The AHI is a simplistic measure that is inadequate for capturing disease severity and its consequences in cardiovascular diseases (CVDs). Deleterious effects of OSA have been suggested to influence the prognosis of specific endotypes of patients with acute coronary syndrome (ACS).

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  • Contagious agalactia (CA) is a disease in small ruminants caused by mycoplasmas, and the enzyme-linked immunosorbent assay (ELISA) test is the primary method for diagnosis.
  • This study evaluated the effectiveness of three commercial ELISA tests for detecting antibodies in infected goats, finding high validity and agreement among the tests.
  • Results indicated all tests had excellent specificity (100%) and substantial to perfect agreement, making them suitable for diagnostic use in goats showing clinical signs of CA.
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Obstructive sleep apnea (OSA) is prevalent in patients with acute coronary syndrome (ACS) and is a cause of secondary hypertension. To explore the long-term effects of OSA and continuous positive airway pressure (CPAP) treatment on blood pressure (BP) in patients with ACS. analysis of the ISAACC study (Continuous Positive Airway Pressure in Patients with Acute Coronary Syndrome and Obstructive Sleep Apnea; NCT01335087) included 1,803 patients admitted for ACS.

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Article Synopsis
  • * Results indicated that over 60% of participants experienced poor sleep quality, with female patients and those who received invasive mechanical ventilation during their stay being more affected.
  • * The study emphasizes the need to address sleep health and mental well-being in COVID-19 recovery, noting that anxiety and depression are linked to sleep disruptions.
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Recent studies have evaluated the potential of circulating microRNAs (miRNAs) as valuable biomarkers for characterizing obstructive sleep apnea (OSA) in males. The potential use of miRNAs as clinical indicators in females is unknown. The objective is to identify a set of miRNAs to be used as endogenous controls (ECs) in female patients with OSA.

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Question: We evaluated whether the time between first respiratory support and intubation of patients receiving invasive mechanical ventilation (IMV) due to COVID-19 was associated with mortality or pulmonary sequelae.

Materials And Methods: Prospective cohort of critical COVID-19 patients on IMV. Patients were classified as early intubation if they were intubated within the first 48 h from the first respiratory support or delayed intubation if they were intubated later.

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Article Synopsis
  • Obstructive sleep apnea (OSA) is a prevalent but often undiagnosed sleep disorder linked to cardiovascular and metabolic issues, and this study aims to explore blood biomarkers for diagnosis and understand how CPAP treatment affects these biomarkers.
  • The research involved profiling the plasma metabolome and lipidome of 206 patients with suspected OSA, identifying 33 metabolites that distinguish OSA patients from non-OSA individuals, and a 4-metabolite signature capable of accurately diagnosing OSA.
  • Results indicated that CPAP treatment altered the levels of 5 metabolites related to OSA, suggesting potential blood-based biomarkers for personalized treatment and highlighting body's adaptive responses to oxygen deficiency caused by the disorder.
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