Intermitent Hypoxia and Its Pathophysiology Consequences in the Sleep Apnea-Hypopnea Syndrome. Basic, Clinical and Therapeutically Study.
Intermitent Hypoxia and Its Pathophysiology Consequences in the Sleep Apnea-Hypopnea Syndrome. Basic, Clinical and Therapeutically Study.
Clinical trial on the effect of continuous positive pressure (CPAP). Objectives: 1) To assess the total or partial recovery of oxidative and inflammatory damage after recovering IH. 2) To check whether the results obtained in vitro on the recovery of the damage according to the form of manifestation of IH are validated in SAHS patients. 3) To determine if CPAP reduces nighttime blood pressure and arterial stiffness depending on whether or not patients have a non-dipping pattern of blood pressure and depending on the degree of correction of IH. 4) To clarify whether residual nocturnal hypoxemia influences the recovery of oxidative and inflammatory damage in patients. 5) To determine nasal and intestinal microbioma and the effect of CPAP treatment
Design: Randomized, parallel group, non-blinded, controlled clinical trial compared with conventional treatment.
A. Protocol and intervention Patients with an 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 from our group were used. In this case, in order to compare the effect of CPAP in a subgroup of patients with well-controlled OSA and in another with residual hypoxemia; it would be necessary to randomize a total of 85 patients with OSA.
C. Ethical considerations
D. Methods
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 15.0.
Inclusion Criteria:
Exclusion Criteria: