6533b7dbfe1ef96bd126f7e9

RESEARCH PRODUCT

Periodic limb movements during sleep and blood pressure changes in sleep apnoea: Data from the European Sleep Apnoea Database

Lombardi CParati GSoranna DZambon ASliwinski PRoisman GPepin JlSchiza SRiha RJoppa PFietze IHedner JGrote LEuropean Sleep Apnoea Database (Esada) Collaborators (Esada Collaborators: Anttalainen UBarbé FBonsignore MrBasoglu OkBielicki PDogas ZDorkova ZEscourrou PFietze IGrote LHedner JHein HJoppa PKvamme JaLevy PLombardi CMarrone OMasa JfMcnicholas WtMontserrat JmParati GPataka APenzel TPetiet EPépin JlPlywaczewski RPretl MRiha RlRoisman GRyan SSaaresranta TSchiza SSchulz RSliwinski PPepin JlTasbakan MsTkacova RStaats RSteiropoulos PVaroneckas GVerbraecken J)

subject

MalePulmonary and Respiratory MedicineMultivariate statisticsmedicine.medical_specialtyobstructive sleep apnoeaSystoleMovement[SDV]Life Sciences [q-bio]Blood PressureComorbiditySettore MED/10 - Malattie Dell'Apparato RespiratorioCohort Studies03 medical and health sciencesSleep Apnea Syndromes0302 clinical medicineDiastolecardiovascular diseaseDiabetes mellitusInternal medicinemedicineHumans030212 general & internal medicinesleep disorderSleep disorderUnivariate analysisbusiness.industryConfoundingExtremitiesclinical epidemiologyMiddle Agedmedicine.diseaseSleep in non-human animalsEurope[SDV] Life Sciences [q-bio]Cross-Sectional StudiesBlood pressureDatabases as Topic030228 respiratory systemCohortFemaleSleepbusiness

description

International audience; Background and objective: OSA and PLMS are known to induce acute BP swings during sleep. Our current study aimed to address the independent effect of PLMS on BP in an unselected OSA patient cohort.Methods: This cross-sectional analysis included 1487 patients (1110 males, no previous hypertension diagnosis or treatment, mean age: 52.5 years, mean BMI: 30.5 kg/m2 ) with significant OSA (defined as AHI ≥ 10) recruited from the European Sleep Apnoea Cohort. Patients underwent overnight PSG. Patients were stratified into two groups: patients with significant PLMS (PLMSI > 25 events/hour of sleep) and patients without significant PLMS (PLMSI < 25 events/hour of sleep). SBP, DBP and PP were the variables of interest. For each of these, a multivariate regression linear model was fitted to evaluate the relationship between PLMS and outcome adjusting for sociodemographic and clinical covariates (gender, age, BMI, AHI, ESS, diabetes, smoking and sleep efficiency).Results: The univariate analysis of SBP showed an increment of BP equal to 4.70 mm Hg (P < 0.001) in patients with significant PLMS compared to patients without significant PLMS. This increment remained significant after implementing a multivariate regression model (2.64 mm Hg, P = 0.044). No significant increment of BP was observed for DBP and PP.Conclusion: PLMS is associated with a rise in SBP regardless of AHI, independent of clinical and sociodemographic confounders. A PLMS phenotype may carry an increased risk for cardiovascular disease in OSA patients.

10.1111/resp.13760http://www.cnr.it/prodotto/i/417331