Abstract:Purpose of Review Polysomnography (PSG) represents a fundamental diagnostic tool used in the evaluation of sleep disorders. It represents a simultaneous recording of sleep staging, eye movements, electromyographic tone, respiratory parameters, and electrocardiogram. It is particularly helpful in the assessment of sleep-disordered breathing and its management, propensity for excessive sleepiness, complex behaviors during sleep, including motor disturbances of sleep, sleep-related epilepsy, and parasomnias. This… Show more
“…Clinical data associate OSAS with hypertension (HTN), dyslipidemia (DLP), insulin resistance (IR), and inflammation [2][3][4]. Polysomnography is the gold standard for the diagnosis of OSAS [5], and the apnea-hypopnea index (AHI) is used to quantify severity based on an international score [6].…”
“…Clinical data associate OSAS with hypertension (HTN), dyslipidemia (DLP), insulin resistance (IR), and inflammation [2][3][4]. Polysomnography is the gold standard for the diagnosis of OSAS [5], and the apnea-hypopnea index (AHI) is used to quantify severity based on an international score [6].…”
“…It enables electroencephalograms, electrooculograms and electromyograms records to continuous and simultaneous recording of physiologic activity during sleep. PSG also records respiration, and saturation of oxygen to assess sleep apnea [ 7 , 8 , 9 ]. However, this method requires the lab environment with professional assistants and participants must wear numerous sensors during sleep in a laboratory condition [ 7 , 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…PSG also records respiration, and saturation of oxygen to assess sleep apnea [ 7 , 8 , 9 ]. However, this method requires the lab environment with professional assistants and participants must wear numerous sensors during sleep in a laboratory condition [ 7 , 10 , 11 ]. Another objective method is actigraphy, which is a widely used alternative to PSG for the identification of sleep phases and sleep parameters that assess the duration (e.g., time in bed or assumed sleep) and quality of sleep (e.g., sleep efficiency or fragmentation index).…”
The sleep/wake rhythm is one of the most important biological rhythms. Quality and duration of sleep change during lifetime. The aim of our study was to determine differences in sleep efficiency, movement, and fragmentation during sleep period between genders and according to age. Sleep period was monitored by wrist actigraphy under home-based conditions. Seventy-four healthy participants—47 women and 27 men participated in the study. The participants were divided by age into groups younger than 40 years and 40 years and older. Women showed lower sleep fragmentation and mobility during sleep compared to men. Younger women showed a higher actual sleep and sleep efficiency compared to older women and younger men. Younger men compared to older men had a significantly lower actual sleep, lower sleep efficiency and significantly more sleep and wake bouts. Our results confirmed differences in sleep parameters between genders and according to age. The best sleep quality was detected in young women, but gender differences were not apparent in elderly participants, suggesting the impact of sex hormones on sleep.
“…), hypoxemic lung disease (e.g., chronic obstructive pulmonary disease, interstitial lung disease, asthma, etc. ), hematologic disease, congestive heart failure, liver or kidney disease, malignancy, pregnancy, infection, autoimmune disease, and anti-inflammatory medication use were excluded as previous studies described 9 , 10 , 25 . In total, 246 subjects were included.…”
Section: Methodsmentioning
confidence: 99%
“…Patients with comorbid conditions (including comorbid sleep disorders, neural-muscular disease, hypoxemic lung disease, congestive heart failure, etc.) that were not recommended to receive OCST instead of full PSG were excluded in this study 25 . OCST was programmed to record automatically, starting from 30 min after the patients went to bed.…”
This study aimed to investigate the correlation between monocyte to high-density lipoprotein cholesterol ratio (MHR) and obstructive sleep apnea (OSA) in patients with hypertension. A total of 246 hypertensive patients (67 controls, 65 mild, 51 moderate, and 63 severe OSA) were included. The relationship between MHR and OSA was analyzed. MHR correlated positively with apnea–hypopnea index (AHI), while negatively with mean SpO2 (P < 0.01). MHR was higher in OSA group than the control group (9.2 ± 2.6 vs. 10.8 ± 3.6, P < 0.001). Moreover, MHR in severe OSA group was the highest among all groups (9.2 ± 2.6, 10.2 ± 3.2, 10.4 ± 4.0, and 11.8 ± 3.4 in control, mild, moderate, and severe OSA group, respectively, P < 0.001). Logistic regression analysis demonstrated that MHR was an independent predictor of the presence of OSA (OR = 1.152, P < 0.01) and severe OSA (OR = 1.142, P < 0.01). Area under the curve of MHR was 0.634 (P < 0.05) and 0.660 (P < 0.05) for predicting OSA and severe OSA respectively in the ROC analysis. In conclusion, MHR increased with the severity of OSA. As a practical and cost-effective test, MHR was expected to be an available marker in evaluating OSA risk and severity in hypertensive patients.
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