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Clinical trial on the effect of continuous positive pressure (CPAP). Objectives: 1) To compare biomarkers of Alzheimer's disease in plasma samples from patients with Obstructive sleep apnea (OSA) and without OSA. 2) To determine if CPAP reduces biomarkers of Alzheimer's disease in plasma samples.
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Randomized, parallel group, non-blinded, controlled clinical trial compared with conventional treatment.
A. Protocol and intervention Patients with an Apnea-Hypopnea index (AHI)>30 h-1 will be assigned, using a 1:1 randomization table, to lifestyle recommendations treatment or to lifestyle recommendations plus nasal CPAP, for a period of 4 months. CPAP pressure will be titled with automatic using an AutoSet II device, ResMed.
B. Sample size For the estimation of the sample size, previous data were used (PLoS ONE 2019;14(9): e0221255). In this case, in order to compare the effect of CPAP it would be necessary to randomize a total of 100 patients with OSA and 30 control subjects.
C. Ethical considerations
D. Methods.
. Polysomnography. It will be used as a screening test previous the randomization of the included patients. The exploration and its interpretation will be carried out following the recommendations of the American Academy of Sleep Medicine. Based on the results of this test, only those patients with an AHI will continue in the study when AHI >30 h-1. In these patients the determinations listed below will be carried out immediately before randomization (visit 1), at 4 weeks (visit 2), 16 weeks (visit 4) of allocation to the corresponding treatment group
Statistic analysis The data will be expressed as mean ± standard deviation, median (interquartile range) or percentage, depending on their type and distribution. For comparison between groups Student's t-test, the U-Mann-Whitney or the chi-square test will be used, as appropriate. The relations between variables will be analyzed using Pearson's correlation and multiple linear regression analysis. The effect of treatment will be evaluated using general linear models and repeated measures analysis of variance, with multiple comparisons post-hoc using the Bonferroni test. A multiple logistic regression model will be applied to determine the related variables with a response to treatment. Values of p <0.05 will be considered statistically significant. The statistical study will be performed with the SPSS program version 22.0.
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130 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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