Abstract:IntroductionPrompt diagnosis of obstructive sleep apnea (OSA) after acute ischemic stroke (AIS) is critical for optimal clinical outcomes, but in-laboratory conventional polysomnograms (PSG) are not routinely practical. Though portable out-of-center type III cardiopulmonary sleep studies (out-of-center cardiopulmonary sleep testing [OCST]) are widely available, these studies have not been validated in patients who have recently suffered from AIS. We hypothesized that OCST in patients with AIS would yield simil… Show more
“…49 Recent studies reporting the feasibility of portable PSG screening in patients with stroke/TIA also support the recommendation of quick OSA screening in both inpatient and outpatient settings. 20,50,51 In this study, we were unable to elucidate the pathological mechanisms to account for the differences in sleep apnea prevalence across different stroke subtypes, etiology, and location. Future studies reporting the prevalence of sleep apnea in stroke patients should also consider reporting details of the etiological subtypes and location of stroke.…”
Objectives: Recent meta-analyses have noted that »70% of transient ischemic attack (TIA)/stroke patients have sleep apnea. However, the heterogeneity between studies was high and did not appear to be accounted by the phase of stroke. We conducted an updated meta-analysis and aimed to determine whether the prevalence of sleep apnea amongst stroke patients differs by the subtype, etiology, severity and location of stroke and hence could account for some of the unexplained heterogeneity observed in previous studies. Materials and Methods: We searched Medline, Embase, CINAHL and Cochrane Library (from their commencements to July 2020) for studies which reported the prevalence of sleep apnea by using polysomnography in TIA/stroke patients. We used random-effects model to calculate the pooled prevalence of sleep apnea and explored whether the prevalence differed by stroke characteristics. Results: Seventy-five studies describing 8670 stroke patients were included in this meta-analysis. The overall prevalence of sleep apnea was numerically higher in patients with hemorrhagic vs. ischemic stroke [82.7% (64.4À92.7%) vs. 67.5% (63.2À71.5%), p=0.098], supratentorial vs. infratentorial stroke [64.4% (56.7À71.4%) vs. 56.5% (42.2À60.0%), p=0.171], and cardioembolic [74.3% (59.6À85.0%)] vs. other ischemic stroke subtypes [large artery atherosclerosis: 68.3% (52.5À80.7%), small vessel occlusion: 56.1% (38.2À72.6%), others/ undetermined: 47.9% (31.6À64.6%), p=0.089]. The heterogeneity in sleep apnea prevalence was partially accounted by the subtype (1.9%), phase (5.0%) and location of stroke (14.0%) among reported studies. Conclusions: The prevalence of sleep apnea in the stroke population appears to differ by the subtype, location, etiology and phase of stroke.
“…49 Recent studies reporting the feasibility of portable PSG screening in patients with stroke/TIA also support the recommendation of quick OSA screening in both inpatient and outpatient settings. 20,50,51 In this study, we were unable to elucidate the pathological mechanisms to account for the differences in sleep apnea prevalence across different stroke subtypes, etiology, and location. Future studies reporting the prevalence of sleep apnea in stroke patients should also consider reporting details of the etiological subtypes and location of stroke.…”
Objectives: Recent meta-analyses have noted that »70% of transient ischemic attack (TIA)/stroke patients have sleep apnea. However, the heterogeneity between studies was high and did not appear to be accounted by the phase of stroke. We conducted an updated meta-analysis and aimed to determine whether the prevalence of sleep apnea amongst stroke patients differs by the subtype, etiology, severity and location of stroke and hence could account for some of the unexplained heterogeneity observed in previous studies. Materials and Methods: We searched Medline, Embase, CINAHL and Cochrane Library (from their commencements to July 2020) for studies which reported the prevalence of sleep apnea by using polysomnography in TIA/stroke patients. We used random-effects model to calculate the pooled prevalence of sleep apnea and explored whether the prevalence differed by stroke characteristics. Results: Seventy-five studies describing 8670 stroke patients were included in this meta-analysis. The overall prevalence of sleep apnea was numerically higher in patients with hemorrhagic vs. ischemic stroke [82.7% (64.4À92.7%) vs. 67.5% (63.2À71.5%), p=0.098], supratentorial vs. infratentorial stroke [64.4% (56.7À71.4%) vs. 56.5% (42.2À60.0%), p=0.171], and cardioembolic [74.3% (59.6À85.0%)] vs. other ischemic stroke subtypes [large artery atherosclerosis: 68.3% (52.5À80.7%), small vessel occlusion: 56.1% (38.2À72.6%), others/ undetermined: 47.9% (31.6À64.6%), p=0.089]. The heterogeneity in sleep apnea prevalence was partially accounted by the subtype (1.9%), phase (5.0%) and location of stroke (14.0%) among reported studies. Conclusions: The prevalence of sleep apnea in the stroke population appears to differ by the subtype, location, etiology and phase of stroke.
“…23 Although prior studies have proposed HSAT as a reliable screening tool for acute ischemic stroke, widespread implementation of HSAT would require significant resources that smaller community facilities may not have access to. 24 As demonstrated in our study, oximetry offers an attractive and accurate alternative to HSAT. Because of its cost effectiveness and lack of extensive training required for acquisition of reliable data, nocturnal oximetry may be more practical to implement on a wider scale.…”
Study Objectives: Sleep-disordered breathing (SDB) is highly prevalent in patients with acute stroke. SDB is often underdiagnosed and associated with neurological deterioration and stroke recurrence. Polysomnography or home sleep apnea testing (HSAT) is typically used as the diagnostic modality; however, it may not be feasible to use regularly in patients with acute stroke. We investigated the predictive performance of pulse oximetry, a simpler alternative, to identify SDB. Methods: The records of 254 patients, who were admitted to Boston Medical Center for acute stroke and underwent HSAT, were retrospectively reviewed. Oxygen desaturation index (ODI) from pulse oximetry channel were compared to respiratory event index (REI) obtained from HSAT devices. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ODI were calculated, and different ODI cutoff values to predict SDB were proposed. Results: ODI had a strong correlation (r = .902) and agreement with REI. ODI was accurate in predicting SDB at different REI thresholds (REI ≥ 5, REI ≥ 15, and REI ≥ 30 events/h) with the area under the curve (AUC) of .965, .974, and .951, respectively. An ODI ≥ 5 events/h rules in the presence of SDB (specificity 91.7%, PPV 96.3%). An ODI ≥ 15 events/h rules in moderate to severe SDB (specificity 96.4%, PPV 95%) and an ODI < 5 events/h rules out moderate to severe SDB (sensitivity 100%, NPV 100%). Conclusions: Nocturnal pulse oximetry has a high diagnostic accuracy in predicting moderate to severe SDB in patients with acute stroke. Oximetry can be a simple modality to rapidly recognize patients with more severe SDB and facilitate the referral to the confirmation sleep study.
“…For example, the gold standard of in-laboratory polysomnography is not used in Sleep SMART to identify obstructive sleep apnea, as this approach is often poorly tolerated in the AIS setting, may be logistically challenging during hospitalization, and is not necessary to identify AIS patients with obstructive sleep apnea. 15 Home sleep apnea tests effectively identify obstructive sleep apnea after stroke 16,17 ; moreover, these devices have been commonly used in post-stroke research. The Nox T3 TM device used in Sleep SMART has been validated against full polysomnography 10,11 and has advantages over some other portable sleep apnea tests in that it has both abdominal and thoracic abdominal effort belts, and uses respiratory inductance plethysmograph technology.…”
Rationale Obstructive sleep apnea is common among patients with acute ischemic stroke and is associated with reduced functional recovery and an increased risk for recurrent vascular events. Aims and/or hypothesis The Sleep for Stroke Management and Recovery Trial (Sleep SMART) aims to determine whether automatically adjusting continuous positive airway pressure (aCPAP) treatment for obstructive sleep apnea improves clinical outcomes after acute ischemic stroke or high-risk transient ischemic attack. Sample size estimate A total of 3062 randomized subjects for the prevention of recurrent serious vascular events, and among these, 1362 stroke survivors for the recovery outcome. Methods and design Sleep SMART is a phase III, multicenter, prospective randomized, open, blinded outcome event assessed controlled trial. Adults with recent acute ischemic stroke/transient ischemic attack and no contraindication to aCPAP are screened for obstructive sleep apnea with a portable sleep apnea test. Subjects with confirmed obstructive sleep apnea but without predominant central sleep apnea proceed to a run-in night of aCPAP. Subjects with use (≥4 h) of aCPAP and without development of significant central apneas are randomized to aCPAP plus usual care or care-as-usual for six months. Telemedicine is used to monitor and facilitate aCPAP adherence remotely. Study outcomes Two separate primary outcomes: (1) the composite of recurrent acute ischemic stroke, acute coronary syndrome, and all-cause mortality (prevention) and (2) the modified Rankin scale scores (recovery) at six- and three-month post-randomization, respectively. Discussion Sleep SMART represents the first large trial to test whether aCPAP for obstructive sleep apnea after stroke/transient ischemic attack reduces recurrent vascular events or death, and improves functional recovery.
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