Abstract TP347: Obstructive Sleep Apnea Frequency in Intracerebral Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Jacqueline H Geer ◽  
Audrey C Leasure ◽  
Kevin N Vanent ◽  
Lauren H Sansing ◽  
Daniel Woo ◽  
...  

Introduction: Obstructive sleep apnea (OSA) is a treatable condition and well-established risk factor for ischemic stroke, but the prevalence in ICH is unknown. We aim to characterize the frequency of OSA in spontaneous intracerebral hemorrhage (ICH). Methods: The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study is a prospective observational study evaluating risk factors for ICH among whites, blacks, and Hispanics. OSA status was determined using two different strategies: (1) the Berlin Questionnaire, a validated screening tool to identify those with a high likelihood of OSA where “high risk” is defined as > 1 point in at least 2 of 3 categories assessing snoring, fatigue, and hypertension, and (2) self-reported history of diagnosed sleep apnea. Results: We evaluated 3000 ICH cases. Within this group, 2896 (96.5%) completed the Berlin questionnaire, with 2064 (71%) patients being high risk for OSA. Compared to patients with low risk of OSA, those at high risk were more likely to be male (61% versus 53%, p<0.001) with hypertension (93% versus 65%, p<0.001), diabetes (32% versus 20%, p<0.001), hyperlipidemia (49% versus 38%, p<0.001), and higher BMI (29.8 +/- 8.1 versus 26.8 +/- 6.5, p<0.001), and less likely to have lobar ICH location (29% versus 35%, p<0.001). Self-reported history of prior sleep apnea diagnosis was present in only 175 (9.5%) of ICH cases. Conclusions: OSA is highly prevalent and underdiagnosed in our cohort of ICH patients. Given the effective treatments available for OSA, which have been shown to improve morbidity and mortality in patients with ischemic stroke, further studies are needed to assess the role of OSA as both a determinant of both risk and outcome in ICH.

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Jennifer Rose V Molano ◽  
Sebastian Koch ◽  
Carl Langefeld ◽  
Daniel Woo

Objective: To test the hypothesis that risk status for obstructive sleep apnea (OSA) is associated with time of onset in intracerebral hemorrhage. Background: OSA can affect 30-70% of patients with ischemic strokes, intracerebral hemorrhage and transient ischemic attacks. In normal sleep, blood pressure and heart rate decrease due to increased parasympathetic activity. In OSA, increased sympathetic activity during sleep can lead to a absence of this blood pressure fall. This non-dipping nocturnal blood pressure pattern has been associated with a shift in the timing of sudden cardiac death, from 7am-noon in those without OSA to 12am-6am in those with OSA. Whether this diurnal shift exists in intracerebral hemorrhage cases at high risk for OSA has not been studied. Method: A nested case control study within the interviewed case cohort from the Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study was performed. OSA risk status was categorized as “high-risk” based on a positive score in 2 out of 3 categories on the Berlin questionnaire, which ascertains snoring, daytime fatigue, body mass index and hypertension. Timing of intracerebral hemorrhage was categorized as “Nocturnal” based on a known time of stroke onset from 22:00pm to 06:00am and “Awake” based on a known time of stroke onset from 06:01am to 21:59pm. Results: Time of stroke onset was known in 434 subjects. The Berlin questionnaire categorized 54.2% of cases as high-risk for OSA. In comparison with low-risk subjects, high-risk cases tended to be younger (59.1±13.7 vs. 61.8±15.7, p=0.05), male (48% vs 58%, p=0.03), have coronary disease (6% vs 11%, p=0.09), have diabetes (27% vs 18%, p=0.02), and have dyslipidemia (43% vs 30%, p=0.006). There were no ethnic differences in the prevalence of high risk for OSA (P=0.60). Nocturnal strokes were seen in 17% of high- and low-risk OSA cases. There was no statistically significant difference in OSA status and timing of stroke (p=0.98). Conclusions: OSA risk status was not associated with timing of hemorrhagic stroke. This finding suggests that a non-dipping nocturnal blood pressure pattern is not seen in intracerebral hemorrhage cases at high-risk for OSA.


Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Millene Camilo ◽  
Alan Eckeli ◽  
Heidi Sander ◽  
Regina Fernandes ◽  
Joao Leite ◽  
...  

Background: Sleep-disordered breathing (SDB) is frequent in the acute phase of stroke. Obstructive sleep apnea (OSA) has been found in 62% of stroke patients. The impact of OSA is significant after ischemic stroke, including early neurological deterioration, poor functional outcome and increased long-term mortality. However, performing polysomnography (PSG) for all patients with acute stroke for diagnose OSA is still impracticable. Therefore clinical tools to select patients at higher risk for OSA would be essential. The aim of this study was to determine the validity of the Berlin Questionnaire (BQ) and the Epworth Sleepiness Scale (ESS) to identify stroke patients in whom the PSG would be indicated. Methods: Subjects with ischemic stroke were stratified into high and low risk groups for SDB using a BQ. The ESS ≥ 10 was used to define excessive daytime sleepiness. The BQ and ESS were administered to the relatives of stroke patients at hospital admission. All patients were submitted to a full overnight PSG at the first night after symptoms onset. OSA severity was measured by the apnea-hypopnea index (AHI). Results: We prospectively studied 40 ischemic stroke patients. The mean age was 62 ± 12.1 years and the obstructive sleep apnea (AHI ≥ 15) was present in 67.5%. On stratifying risk of OSA in these patients based on the QB, 77.5% belonged to the high-risk and 50% to the ESS ≥ 10. The sensitivity of QB was 85%, the specificity 35%, the positive predictive value 74% and the negative predictive value 55%. For ESS was respectively 63%, 85%, 89% and 52%. The diagnostic value of the BQ and ESS in combination to predict OSA had a sensitivity of 58%, a specificity of 89%, a positive predictive value of 95% and a negative predictive value of 38%. Conclusions: The QB even applied to the bed-partners of stroke patients is a useful screening tool for OSA.


2015 ◽  
Vol 23 (5) ◽  
pp. 797-805
Author(s):  
Carla Renata Silva Andrechuk ◽  
Maria Filomena Ceolim

Objectives: to stratify the risk for obstructive sleep apnea in patients with acute myocardial infarction, treated at a public, tertiary, teaching hospital of the state of São Paulo, Brazil, and to identify related sociodemographic and clinical factors.Method: cross-sectional analytical study with 113 patients (mean age 59.57 years, 70.8% male). A specific questionnaire was used for the sociodemographic and clinical characterization and the Berlin Questionnaire for the stratification of the risk of obstructive sleep apnea syndrome.Results: the prevalence of high risk was 60.2% and the outcome of clinical worsening during hospitalization was more frequent among these patients. The factors related to high risk were body mass index over 30 kg/m2, arterial hypertension and waist circumference indicative of cardiovascular risk, while older age (60 years and over) constituted a protective factor.Conclusion: considering the high prevalence of obstructive sleep apnea and its relation to clinical worsening, it is suggested that nurses should monitor, in their clinical practice, people at high risk for this syndrome, guiding control measures of modifiable factors and aiming to prevent the associated complications, including worsening of cardiovascular diseases.


2004 ◽  
Vol 21 (6) ◽  
pp. 871-879 ◽  
Author(s):  
C. R. C. Moreno ◽  
F. A. Carvalho ◽  
C. Lorenzi ◽  
L. S. Matuzaki ◽  
S. Prezotti ◽  
...  

Author(s):  
Otilia Niţă ◽  
Lidia Graur ◽  
Dana Popescu ◽  
Alina Popa ◽  
Laura Mihalache ◽  
...  

Anthropometric Predictors of High Risk of Obstructive Sleep Apnea Syndrome in a Rural PopulationObjective. To evaluate which anthropometric parameter better predicts the high risk of obstructive sleep apnea syndrome (OSA) in a rural population. Material and Method. 254 subjects were enrolled. We measured weight, height, waist circumference (WC) and neck circumference (NC) and calculated body mass index (BMI), waist-to-height ratio (WHtR) and neck circumference/height ratio (NC/Height). The risk of OSA was assessed by using Berlin Questionnaire. Results. Subjects with high risk of OSA had a significant higher BMI, WC, WHtR, NC, and NC/Height. A higher percentage of those with large WC (≥80cm and ≥94cm for women and men, respectively) (p<0.001), WHtR ≥0.5 (p<0.001), NC ≥40cm (p=0.004), NC/Height ratio ≥0.23 (p=0.002) had a high risk of OSA. Using ROC curves of anthropometric parameters studied we found that WHtR was the best predictor for high risk of OSA, with AUC of 0.760, 95% CI: 0.699 to 0.815. Conclusions. WHtR was the best predictor for high risk of OSA as assessed by the Berlin Questionnaire.


2013 ◽  
Vol 27 (2) ◽  
pp. 229-236 ◽  
Author(s):  
Wipawan C. Pensuksan ◽  
Xiaoli Chen ◽  
Vitool Lohsoonthorn ◽  
Somrat Lertmaharit ◽  
Bizu Gelaye ◽  
...  

Stroke ◽  
2021 ◽  
Author(s):  
Jacqueline H. Geer ◽  
Guido J. Falcone ◽  
Kevin N. Vanent ◽  
Audrey C. Leasure ◽  
Daniel Woo ◽  
...  

Background and Purpose: To determine whether obstructive sleep apnea (OSA) is associated with intracerebral hemorrhage (ICH) risk, we assessed premorbid OSA exposure of patients with nontraumatic ICH and matched controls. Methods: Ethnic/Racial Variations of Intracerebral Hemorrhage is a multicenter, case-control study evaluating risk factors for ICH that recruited 3000 cases with ICH and 3000 controls. OSA status was ascertained using the Berlin Questionnaire as a surrogate for premorbid OSA. We performed logistic regression analyses to evaluate the association between OSA and ICH. Results: Two thousand and sixty-four (71%) cases and 1516 (52%) controls were classified as having OSA by the Berlin Questionnaire. Cases with OSA were significantly more likely to be male and have hypertension, heart disease, hyperlipidemia, and higher body mass index compared with those without OSA. OSA was more common among cases compared with controls (71% versus 52%, odds ratio, 2.28 [95% CI, 2.05–2.55]). In a multivariable logistic regression model, OSA was associated with increased risk for ICH (odds ratio, 1.47 [95% CI, 1.29–1.67]). Conclusions: OSA is a risk factor for ICH.


Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 468 ◽  
Author(s):  
Alexia Alexandropoulou ◽  
Georgios D. Vavougios ◽  
Chrissi Hatzoglou ◽  
Konstantinos I. Gourgoulianis ◽  
Sotirios G. Zarogiannis

Background and objectives: The risk assessment of Obstructive Sleep Apnea (OSA) and Excessive Daytime Sleepiness (EDS) in specific occupational populations is important due to its association with morbidity. The aim of the present study was to identify the risk of OSA development and EDS in a Greek nursing staff population. Materials and Methods: In this cross-sectional study a total of 444 nurses, 56 males (age = 42.91 ± 5.76 years/BMI = 27.17 ± 4.32) and 388 females (age = 41.41 ± 5.92 years/BMI = 25.08 ± 4.43) working in a Greek secondary and tertiary hospital participated during the period from 18 January 2015 to 10 February 2015. The participants completed the Berlin Questionnaire (BQ), concerning the risk for OSA and the Epworth Sleepiness Scale (ESS), concerning the EDS. The work and lifestyle habits of the participants were correlated with the results of the questionnaires. Results: According to the BQ results 20.5% (n = 91) of the nursing staff was at high risk for OSA. Increased daytime sleepiness affected 27.7% (n = 123) of the nurses according to ESS results. Nurses at risk for Obstructive Sleep Apnea Syndrome (OSAS), positive for both BQ and ESS, were 7.66% (n = 34). Out of the nurses that participated 77% (n = 342) were working in shifts status and had significant meal instability (breakfast p < 0.0001, lunch p < 0.0001, dinner p = 0.0008). Conclusions: The population at high risk for OSA and EDS in the nursing staff was found to be 20% and 28% respectively. High risk for OSAS was detected in 7.66% of the participants. The high risk for OSA and EDS was the same irrespective of working in shift status. In specific, nursing population age was an independent predictor for high risk for OSA and skipping lunch an independent predictor of daytime sleepiness.


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