The prognostic importance of obstructive sleep apnea (OSA) severity and other polysomnographic parameters in patients with resistant hypertension (RHT) has never been evaluated. We aimed to assess it in a prospective cohort of 422 individuals with RHT. OSA presence/severity was ascertained by complete polysomnography (PSG) at baseline. Multivariable Cox regressions assessed the risks associated with OSA severity and other PSG parameters (apnea-hypopnea index, sleep duration, nocturnal hypoxemia and periodic limb movements) for the primary (total cardiovascular events [CVEs] and all-cause mortality) and secondary outcomes (major CVEs). In the subgroup of patients with moderate/severe OSA, the risks associated with CPAP treatment were also estimated in relation to untreated individuals. One-hundred and eighty-six participants (44%) had no/mild OSA and 236 (56%) had moderate/severe OSA, and 67 of them were CPAP-treated. Over a mean follow-up of 5 years, there were 46 CVEs (37 major ones) and 44 all-cause deaths. Neither the presence of moderate/severe or severe OSA, nor being untreated during follow-up, was associated with significant excess risks for any outcome in relation to the subgroup with no/mild OSA. Similarly, no other PSG-derived parameter predicted any adverse outcome. Otherwise, CPAP treatment was associated with non-significant risk reductions of 37% for total CVEs, 49% for major CVEs and 63% for all-cause mortality in relation to those who remained untreated during follow-up. In conclusion, the presence/severity of OSA and its related PSG parameters were not associated with worse cardiovascular/mortality prognosis in patients with RHT. However, CPAP treatment might be protective in individuals with moderate/severe OSA.
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http://dx.doi.org/10.1038/s41440-023-01193-2 | DOI Listing |
Br J Anaesth
January 2025
Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Background: The impact of noninvasive ventilation (NIV) managed outside the intensive care unit in patients with early acute respiratory failure remains unclear. We aimed to determine whether adding early NIV prevents the progression to severe respiratory failure.
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Early Hum Dev
December 2024
Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, the Netherlands.
Introduction: Non-invasive respiratory support strategies have evolved to avoid bronchopulmonary dysplasia (BPD) in preterm infants. However, consensus on the best treatment strategy remains lacking. This study aims to investigate current practices and variations in primary respiratory support for extremely preterm neonates across neonatal intensive care units (NICUs) in the Netherlands.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California San Francisco, San Francisco, CA, USA.
Those with neurodegenerative conditions have an increased risk of developing delirium and there is some evidence that delirium may be a risk factor for neurodegenerative disorders. Similar to the interactions between sleep and neurodegenerative conditions, there is increasing evidence for bi-directional relationships between delirium and sleep disorders and disturbances. This presentation will provide an overview of the literature on those relationships, including discussion of the well-characterized changes in sleep that occur in individuals experiencing delirium.
View Article and Find Full Text PDFEur Respir J
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
J Clin Sleep Med
January 2025
Division of Pulmonary, Critical Care, and Sleep Medicine, UC San Diego, San Diego, CA.
Continuous positive airway pressure (CPAP) is the treatment of choice for obstructive sleep apnea (OSA); however some people have residual respiratory events or require significantly higher CPAP pressure while on therapy. Our objective was to develop predictive models for CPAP outcomes and assess whether the inclusion of physiological traits enhances prediction. We constructed predictive models from baseline information for subsequent residual apnea-hypopnea index (AHI) and optimal CPAP pressure.
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