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1 t necessary for most patients with suspected sleep apnea.
2 sis on children with more severe obstructive sleep apnea.
3 omic factors and the presence of obstructive sleep apnea.
4 etes mellitus, hypertension, and obstructive sleep apnea.
5 ejection fraction and predominantly central sleep apnea.
6 ealed increased gray matter with obstructive sleep apnea.
7 etes mellitus, hypertension, and obstructive sleep apnea.
8 rol network whose dysfunction contributes to sleep apnea.
9 atus, pack-years, systemic hypertension, and sleep apnea.
10 onitor for 1 night to assess for obstructive sleep apnea.
11 arotid body (CB) activity may be a driver of sleep apnea.
12 measurements of the severity of obstructive sleep apnea.
13 uption and adverse autonomic consequences of sleep apnea.
14 Three of the four also had sleep apnea.
15 treatment of moderate-to-severe obstructive sleep apnea.
16 testing in patients suspected of obstructive sleep apnea.
17 subjects scored at high risk for obstructive sleep apnea.
18 , 14 days of actigraphy, and measurements of sleep apnea.
19 ntribute to atherosclerosis in patients with sleep apnea.
20 n, dyslipidemia, cardiovascular disease, and sleep apnea.
21 models of care for patients with obstructive sleep apnea.
22 ed with scoring at high risk for obstructive sleep apnea.
23 ifying subjects at high risk for obstructive sleep apnea.
24 comes associated with asthma and obstructive sleep apnea.
25 s and signs for the diagnosis of obstructive sleep apnea.
26 patients with mild and moderate obstructive sleep apnea.
27 italized HF patients with moderate-to-severe sleep apnea.
28 d cognitive consequences seen in obstructive sleep apnea.
29 ted to a presymptomatic stage of obstructive sleep apnea.
30 peutic intervention for preventing CB-driven sleep apnea.
31 aberrations in their signaling could lead to sleep apnea.
32 a new pharmacologic therapy for obstructive sleep apnea.
33 l-controlled type 2 diabetes and obstructive sleep apnea.
34 l its potential for reduction of obstructive sleep apneas.
35 s index >/=25kg/m(2) (+1 point), obstructive sleep apnea (+1 point), gastroesophageal reflux (+1 poin
37 ity revenue, 48 cases of cure of obstructive sleep apnea, 44 cases of remission of type 2 diabetes me
38 QR, 4-6, vs 3; IQR, 2-5; P < .001), but less sleep apnea (578 [13.5%] vs 1264 [21.6%]; P < .001).
39 ty in a prospective study of 74,543 cases of sleep apnea (60,125 outpatient, 14,418 inpatient) from t
40 There were no differences in resolution of sleep apnea (62.6% vs 62.0%; P = .77), hypertension (47.
41 The percentage of children with obstructive sleep apnea (8.2% of caffeine group versus 11.0% of plac
43 highly prevalent condition and a hallmark of sleep apnea, a condition that has been associated with i
44 and referral-based prevalence of obstructive sleep apnea; accuracy of symptoms and signs for the diag
45 italized HF patients with moderate-to-severe sleep apnea, adding ASV to OMT did not improve 6-month c
46 found to have increased odds of KCN included sleep apnea (adjusted OR, 1.13; 95% CI, 1.00-1.27; P = 0
48 he evidence that addresses the links between sleep apnea and cardiovascular disease, and research tha
49 empirical bases for considering obstructive sleep apnea and central sleep apnea associated with Chey
50 ars of age and those with severe obstructive sleep apnea and comorbidities are not candidates for amb
53 isk factors included sleep disturbances (eg, sleep apnea and insomnia), mental health status (eg, pos
55 bone density; high prevalence of obstructive sleep apnea and its implications; prevalence of mental h
56 caffeine status, are at risk for obstructive sleep apnea and periodic limb movements in later childho
58 have an increased likelihood of obstructive sleep apnea and to determine whether nocturnal gastroeso
59 children with moderate to severe obstructive sleep apnea, and also that even snoring alone affects ne
60 hypertension, dyslipidemia, depression, and sleep apnea, and changes in corresponding laboratory dat
62 ing, obesity, diabetes mellitus, obstructive sleep apnea, and elevated blood pressure predispose to A
64 headaches, gastroesophageal reflux disease, sleep apnea, and infections of the respiratory system an
66 pnea (PDSA), which is considered more severe sleep apnea, and self-reported habitual snoring without
67 with obesity, moderate-to-severe obstructive sleep apnea, and serum levels of C-reactive protein (CRP
69 events per hour) and 72 obese patients with sleep apnea (apnea-hypopnea index, 43.5 +/- 28.0 events
70 iratory control system is compromised (e.g., sleep apnea, apnea of prematurity, spinal injury, or mot
71 ciated with myocardial infarcts, obstructive sleep apneas, apneas of prematurity, Rett syndrome, and
72 ite hemodynamic effects: whereas obstructive sleep apnea appears to have an adverse effect on SV, cen
73 ars to have an adverse effect on SV, central sleep apnea appears to have little or slightly positive
75 the diagnosis and management of obstructive sleep apnea are reviewed, as are recent guidelines perta
77 sidering obstructive sleep apnea and central sleep apnea associated with Cheyne-Stokes respiration as
79 a high prevalence of obstructive and central sleep apnea associated with Cheyne-Stokes respiration.
81 ejection fraction and predominantly central sleep apnea, but all-cause and cardiovascular mortality
82 f more symptomatic patients with obstructive sleep apnea, but its effectiveness has not been evaluate
83 es a noninvasive ventilator to treat central sleep apnea by delivering servo-controlled inspiratory p
84 t of hypertension, diabetes, and obstructive sleep apnea can reduce atrial fibrillation episodes.
85 ypes spans diabetes, renal disease, obesity, sleep apnea, cardiovascular disease, and cognitive disor
88 sleep indices: apnea-hypopnea index, central sleep apnea (central apnea index, >/=5 vs. <5), central
89 seous molecule carbon monoxide (CO), exhibit sleep apnea characterized by high apnea and hypopnea ind
90 gus and scoring at high risk for obstructive sleep apnea compared with colonoscopy patients disappear
91 subjects scored at high risk for obstructive sleep apnea, compared with 42% (n = 26) of EGD subjects
92 ale sex, higher body mass index, concomitant sleep apnea, conversion to laparotomy, longer operation
96 tion of medical comorbidities (hypertension, sleep apnea, diabetes, and hyperlipidemia), functional s
101 provides a clinical overview of Obstructive Sleep Apnea focusing on prevention, diagnosis, treatment
103 nsion, increased pulse pressure, obstructive sleep apnea, high-level physical training, diastolic dys
104 l factors that included obesity, obstructive sleep apnea, higher comorbidity, and use of prescription
106 y disease, diabetes mellitus, or obstructive sleep apnea (ie, lone AF) undergoing ablation and 25 mat
110 uptake in the genioglossus of patients with sleep apnea in comparison with obese normal subjects wit
111 H), an animal model for studying obstructive sleep apnea in humans, depresses the afferent neurotrans
114 E-HF (Adaptive Servo-Ventilation for Central Sleep Apnea in Systolic Heart Failure) trial results.
115 in association with less severe obstructive sleep apnea in women than in men with heart failure.
116 reat central apnea (CA) occurring at night ("sleep apnea") in patients with systolic heart failure (H
117 In addition, Evening types more often had sleep apnea, independent of BMI or neck circumference.
118 her elevations in the obstructive or central sleep apnea index or the presence of Cheyne-Stokes breat
127 ological research indicates that obstructive sleep apnea is associated with increases in the incidenc
129 wing population of patients with obstructive sleep apnea is being referred for outpatient procedures
136 ation of patients with suspected obstructive sleep apnea is useful for selecting patients for more de
137 Despite the high prevalence of obstructive sleep apnea, it was not associated with the risk of a he
138 f genetic factors in influencing obstructive sleep apnea, its genetic basis is still largely unknown.
139 ikely to have moderate or severe obstructive sleep apnea (LR, 0.07; 95% CI, 0.03-0.19 at threshold of
140 (pH 7.0) typically found with hypoxia during sleep apnea, M94I resulted in 37% reduction in peak INa
144 sk factors (hypertension, diabetes mellitus, sleep apnea, obesity, excessive alcohol, smoking, hypert
145 isposition, hypertension, diabetes mellitus, sleep apnea, obesity, excessive alcohol, smoking, hypert
146 nsion, systemic hypertension associated with sleep apnea, ocular neovascularization, hereditary eryth
148 ysis, the most significant risk factors were sleep apnea (odds ratio [OR], 3.80; 95% CI, 1.00-14.49;
149 ty about the effects of treating obstructive sleep apnea on glycemic control in patients with type 2
150 elihood of OSA if they reported a history of sleep apnea or >/= 2 hallmarks of OSA: loud snoring, day
152 (central apnea index, >/=5 vs. <5), central sleep apnea or Cheyne-Stokes respiration, obstructive ap
154 ) and Cheyne-Stokes respiration with central sleep apnea (OR, 2.27; 95% CI, 1.13-4.56), but not obstr
156 ine glycemic control, those with more severe sleep apnea, or those who were adherent to therapy.
157 nd psychological issues, asthma, obstructive sleep apnea, orthopedic problems, and adverse cardiovasc
160 derlying the association between obstructive sleep apnea (OSA) and Alzheimer's disease is OSA leading
162 t a positive association between obstructive sleep apnea (OSA) and glaucoma; larger, retrospective co
165 ical patients who have suspected obstructive sleep apnea (OSA) at risk for postoperative respiratory
172 e 1990s, estimated prevalence of obstructive sleep apnea (OSA) in the United States is 10% for mild O
196 Despite emerging evidence that obstructive sleep apnea (OSA) may cause metabolic disturbances indep
197 thors tested the hypothesis that obstructive sleep apnea (OSA) signs/symptoms are associated with the
199 (AF) recurrence in patients with obstructive sleep apnea (OSA) undergoing pulmonary vein isolation (P
201 e recruited subjects with severe obstructive sleep apnea (OSA) who were well treated and adherent wit
202 at increased risk for developing obstructive sleep apnea (OSA), and both of these conditions are asso
203 ered the treatment of choice for obstructive sleep apnea (OSA), and studies have shown that there is
205 Sleep abnormalities, including obstructive sleep apnea (OSA), have been associated with insulin res
206 resistant hypertension (RH) and obstructive sleep apnea (OSA), the blood pressure response to contin
207 tween floppy eyelid syndrome and obstructive sleep apnea (OSA), the diagnostic criteria of floppy eye
228 ne of several traits involved in obstructive sleep apnea pathogenesis and may be a therapeutic target
230 plan-Meier analysis revealed the tendency of sleep apnea patients toward RVO development (P = .048, l
231 ated the associations of physician-diagnosed sleep apnea (PDSA), which is considered more severe slee
233 ignificant findings reported for obstructive sleep apnea-related physiologic traits in any population
234 ), as well as a significantly higher rate of sleep apnea remission (72.5% vs 49.3%, P < .001) and hig
237 r characteristics and markers of obstructive sleep apnea severity (hypoxemia, respiratory disturbance
238 o investigate whether markers of obstructive sleep apnea severity are associated with gray matter cha
240 itive testing, the likelihood of obstructive sleep apnea should be established in the clinical examin
241 31.4; 95% CI, 30.5-32.2) than those without sleep apnea (summary BMI, 28.3; 95% CI, 27.6-29.0; P < .
242 tocols in patients with intermediate-to-high sleep apnea suspicion (most patients requiring a sleep s
244 uded the Epworth Sleepiness Scale (ESS), the Sleep Apnea Symptoms Questionnaire (SASQ), continuous po
245 eneral quality of life measures, obstructive sleep apnea symptoms, adherence to using continuous posi
246 he ratio of %EFV to %VAF loss decreased with sleep apnea syndrome (1.34+/-0.3 vs. 0.52+/-0.08, p<0.05
248 ittent hypoxia (CIH) occurs with obstructive sleep apnea syndrome (OSAS) and provokes systemic endoth
252 few studies suggesting that the obstructive sleep apnea syndrome (OSAS) may compromise optic nerve h
253 estigate the correlation between obstructive sleep apnea syndrome (OSAS) risk with periodontal diseas
254 asthma patients with concomitant obstructive sleep apnea syndrome (OSAS) seems to have a favorable im
255 s been reported in patients with obstructive sleep apnea syndrome (OSAS), and these two chronic condi
258 rved a significant prevalence of obstructive sleep apnea syndrome in patients in waiting list for LT,
259 ting, surgical treatment for the obstructive sleep apnea syndrome in school-age children did not sign
261 n, 5 to 9 years of age, with the obstructive sleep apnea syndrome to early adenotonsillectomy or a st
263 sized that, in children with the obstructive sleep apnea syndrome without prolonged oxyhemoglobin des
264 ity (body mass index [BMI] >35), obstructive sleep apnea syndrome, or other causes of respiratory fai
265 ent (Mallampati score III or IV, obstructive sleep apnea syndrome, reduced mobility of cervical spine
266 y performed in children with the obstructive sleep apnea syndrome, yet its usefulness in reducing sym
269 likely to score at high risk for obstructive sleep apnea than patients without nocturnal reflux.
270 tudy involving 155 patients with obstructive sleep apnea that was treated at primary care practices (
271 In this review, we discuss the mechanisms of sleep apnea, the evidence that addresses the links betwe
272 nd research that has addressed the effect of sleep apnea treatment on cardiovascular disease and clin
273 Finally, we review the recent development in sleep apnea treatment options, with special consideratio
276 stolic HF (LV ejection fraction </= 45%) and sleep apnea underwent beat-to-beat measurement of SV by
280 on for identifying patients with obstructive sleep apnea was nocturnal choking or gasping (summary li
282 emia may underlie cardiovascular sequelae of sleep apnea, we evaluated the effects of nocturnal suppl
283 ts referred for sleep evaluation, those with sleep apnea weighed more (summary body mass index, 31.4;
285 2 diabetes, hypertension, dyslipidemia, and sleep apnea were found to be significantly associated wi
286 ially screened patients with OHS with severe sleep apnea were randomized into the above-mentioned gro
287 hospitalized with HF and moderate-to-severe sleep apnea were randomized to ASV plus optimized medica
291 mulation device in patients with obstructive sleep apnea who had difficulty either accepting or adher
294 ovide evidence that treatment of obstructive sleep apnea with continuous positive airway pressure imp
295 r risk factors, the treatment of obstructive sleep apnea with CPAP, but not nocturnal supplemental ox
296 Evidence supports a causal association of sleep apnea with the incidence and morbidity of hyperten
298 tes and no previous diagnosis of obstructive sleep apnea, with a glycated hemoglobin level of 6.5-8.5
299 ring without PDSA (HS), a surrogate for mild sleep apnea, with incident AF in white, black, and Hispa
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