scholarly journals Follow-up and Time to Treatment in an Urban Cohort of Children with Sleep-Disordered Breathing

2018 ◽  
Vol 159 (2) ◽  
pp. 371-378 ◽  
Author(s):  
Vandra C. Harris ◽  
Anne R. Links ◽  
Julia M. Kim ◽  
Jonathan Walsh ◽  
David E. Tunkel ◽  
...  
Keyword(s):  
Primary Care ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Loss To Follow Up ◽  
Obstructive Sleep Apnea Severity ◽  
Obstructive Sleep ◽  
Lost To Follow Up ◽  
Disordered Breathing

Objective To evaluate follow-up and timing of sleep-disordered breathing diagnosis and treatment in urban children referred from primary care. Study Design Retrospective longitudinal cohort analysis. Setting Tertiary health system. Subjects and Methods Pediatric outpatients with sleep-disordered breathing, referred from primary care for subspecialty appointment or polysomnography in 2014, followed for 2 years. Timing of polysomnography or subspecialty appointments, loss to follow-up, and sleep-disordered breathing severity were main outcomes. Chi-square and t-test identified differences in children referred for polysomnography, surgery, and loss to follow-up. Logistic regression identified predictors of loss to follow-up. Days to polysomnography or surgery were evaluated using the Kaplan-Meier estimator, with Cox regression comparing estimates by polysomnography receipt and disease severity. Results Of 216 children, 188 (87%) had public insurance. Half (109 [50%]) were lost to follow-up after primary care referral. More children were lost to follow-up when referred for polysomnography (50 [76%]) compared with subspecialty evaluation (35 [32%]; P < .001). Children referred to both polysomnography and subspecialty were more likely to be lost to follow-up (odds ratio = 2.73, 95% confidence interval = 1.29-5.78; P = .009). For children who obtained polysomnography, an asymmetric distribution of obstructive sleep apnea severity was not observed ( P = .152). Median time to polysomnography and surgery was 75 and 226 days, respectively. Obstructive sleep apnea severity did not influence time to surgery ( P = .410). Conclusion In this urban population, half of the children referred for sleep-disordered breathing evaluation are lost to follow-up from primary care. Obstructive sleep apnea severity did not predict follow-up or timeliness of treatment. These findings suggest social determinants may pose barriers to care in addition to the clinical burden of sleep-disordered breathing.

Abstract 15777: Association Between Sleep Disordered Breathing, Obstructive Sleep Apnea and Incident Cancer: A Systematic Review and Meta-Analysis

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Ghanshyam Palamaner Subash Shantha ◽  
Anita A Kumar ◽  
Lawrence J Cheskin ◽  
Samir B Pancholy
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Head And Neck ◽  
Sleep Disordered Breathing ◽  
Meta Analysis ◽  
Incident Cancer ◽  
Obstructive Sleep ◽  
Increased Risk ◽  
Disordered Breathing

Introduction: Sleep disordered breathing (SDB) and obstructive sleep apnea (OSA) increase risk for multiple morbidities such as cardiovascular events, diabetes mellitus, and hypertension. Association between SDB and incident cancer is unclear and studies that assessed this association have yielded conflicting results. Hypothesis: We systematically reviewed the literature and pooled available evidence that has associated SDP and incident cancer. Methods: Medline, Embase, Cochrane central library, and electronic databases were searched for relevant studies. Studies were included if: 1) they studied patients with SDB, and 2) reported rates of incident cancer. We excluded studies that reported cancers involving head and neck as we suspected reverse causation, since head and neck cancers can lead to SDP. Data were pooled using a random-effects model. Results: From 3522 retrieved citations, 7 observational studies were included in the review. Of these, 4 studies, representing 48,152 patients with SDB and 87,849 patients without SDB, were included in the meta-analysis. In total 6931 incident cancer cases were reported (2813 in SDB group and 4118 in non-SDB group). In the pooled analysis, patients with SDB experienced higher odds of incident cancer (OR: 1.30, 95% CI: 1.06 - 1.60, P = 0.01, I 2 : 75%, 4 included studies) compared to those without SDB. Data from 2 studies that assessed patients with OSA, showed that OSA increased risk for incident cancer at 5 years follow-up (OR: 1.90, 95% CI: 1.46 - 2.45, P < 0.001, I 2 : 0%) and 8 years follow-up (OR: 1.54, 95% CI: 1.25 - 1.88, P < 0.001, I 2 : 0%). Also, cancer risk (OR: 1.28, 95% CI: 1.09 - 1.51, P = 0.003, I 2 : 21%, 2 studies) and cancer mortality (OR: 1.84, 95% CI: 1.32 - 2.56, P = 0.003, I 2 : 0%, 2 studies) was significant only in patients with severe OSA [apnea-hypopnea index (AHI) > 30] and not in patients with mild to moderate OSA (AHI < 30). Factors namely; obesity, type of cancer, age and gender did not account for between study heterogeneity. Conclusions: SDB and OSA are associated with incident cancer. Though our study did not support the role of obesity in this association, strong mechanistic link exists, associating SDB, obesity and cancer. Future studies should assess the association between SDB and organ specific cancers.

scholarly journals Long-term Impact of Adenotonsillectomy on the Quality of Life of Children with Sleep-disordered breathing

2020 ◽  
Author(s):  
Juliana Alves Sousa Caixeta ◽  
Jessica Caixeta Silva Sampaio ◽  
Vanessa Vaz Costa ◽  
Isadora Milhomem Bruno da Silveira ◽  
Carolina Ribeiro Fernandes de Oliveira ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Long Term Effects ◽  
Obstructive Sleep ◽  
Long Term Impact ◽  
Disordered Breathing

Abstract Introduction Adenotonsillectomy is the first-line treatment for obstructive sleep apnea secondary to adenotonsillar hypertrophy in children. The physical benefits of this surgery are well known as well as its impact on the quality of life (QoL), mainly according to short-term evaluations. However, the long-term effects of this surgery are still unclear. Objective To evaluate the long-term impact of adenotonsillectomy on the QoL of children with sleep-disordered breathing (SDB). Method This was a prospective non-controlled study. Children between 3 and 13 years of age with symptoms of SDB for whom adenotonsillectomy had been indicated were included. Children with comorbities were excluded. Quality of life was evaluated using the obstructive sleep apnea questionnaire (OSA-18), which was completed prior to, 10 days, 6 months, 12 months and, at least, 18 months after the procedure. For statistical analysis, p-values lower than 0.05 were defined as statistically significant. Results A total of 31 patients were enrolled in the study. The average age was 5.2 years, and 16 patients were male. The OSA-18 scores improved after the procedure in all domains, and this result was maintained until the last evaluation, done 22 ± 3 months after the procedure. Improvement in each domain was not superior to achieved in other domains. No correlation was found between tonsil or adenoid size and OSA-18 scores. Conclusion This is the largest prospective study that evaluated the long-term effects of the surgery on the QoL of children with SDB using the OSA-18. Our results show adenotonsillectomy has a positive impact in children's QoL.

Rural Barriers to Surgical Care for Children With Sleep-Disordered Breathing

2021 ◽  
pp. 019459982199338
Author(s):  
Flora Yan ◽  
Dylan A. Levy ◽  
Chun-Che Wen ◽  
Cathy L. Melvin ◽  
Marvella E. Ford ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sleep Disordered Breathing ◽  
Healthy Children ◽  
Loss To Follow Up ◽  
Cox Regression Analysis ◽  
Obstructive Sleep ◽  
The Impact ◽  
Disordered Breathing

Objective To assess the impact of rural-urban residence on children with obstructive sleep-disordered breathing (SDB) who were candidates for tonsillectomy with or without adenoidectomy (TA). Study Design Retrospective cohort study. Setting Tertiary children’s hospital. Methods A cohort of otherwise healthy children aged 2 to 18 years with a diagnosis of obstructive SDB between April 2016 and December 2018 who were recommended TA were included. Rural-urban designation was defined by ZIP code approximation of rural-urban commuting area codes. The main outcome was association of rurality with time to TA and loss to follow-up using Cox and logistic regression analyses. Results In total, 213 patients were included (mean age 6 ± 2.9 years, 117 [55%] male, 69 [32%] rural dwelling). Rural-dwelling children were more often insured by Medicaid than private insurance ( P < .001) and had a median driving distance of 74.8 vs 16.8 miles ( P < .001) compared to urban-dwelling patients. The majority (94.9%) eventually underwent recommended TA once evaluated by an otolaryngologist. Multivariable logistic regression analysis did not reveal any significant predictors for loss to follow-up in receiving TA. Cox regression analysis that adjusted for age, sex, insurance, and race showed that rural-dwelling patients had a 30% reduction in receipt of TA over time as compared to urban-dwelling patients (hazard ratio, 0.7; 95% CI, 0.50-0.99). Conclusion Rural-dwelling patients experienced longer wait times and driving distance to TA. This study suggests that rurality should be considered a potential barrier to surgical intervention and highlights the need to further investigate geographic access as an important determinant of care in pediatric SDB.

Postoperative Changes in Sleep-disordered Breathing and Sleep Architecture in Patients with Obstructive Sleep Apnea

2014 ◽  
Vol 120 (2) ◽  
pp. 287-298 ◽  
Author(s):  
Frances Chung ◽  
Pu Liao ◽  
Balaji Yegneswaran ◽  
Colin M. Shapiro ◽  
Weimin Kang
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Slow Wave Sleep ◽  
Sleep Architecture ◽  
Secondary Outcome ◽  
Apnea Hypopnea Index ◽  
Postoperative Changes ◽  
Obstructive Sleep ◽  
Disordered Breathing

Abstract Background: Anesthetics, analgesics, and surgery may profoundly affect sleep architecture and aggravate sleep-related breathing disturbances. The authors hypothesized that patients with preoperative polysomnographic evidence of obstructive sleep apnea (OSA) would experience greater changes in these parameters than patients without OSA. Methods: After obtaining approvals from the Institutional Review Boards, consented patients underwent portable polysomnography preoperatively and on postoperative nights (N) 1, 3, 5, and 7 at home or in hospital. The primary and secondary outcome measurements were polysomnographic parameters of sleep-disordered breathing and sleep architecture. Results: Of the 58 patients completed the study, 38 patients had OSA (apnea hypopnea index [AHI] &gt;5) with median preoperative AHI of 18 events per hour and 20 non-OSA patients had median preoperative AHI of 2. AHI was increased after surgery in both OSA and non-OSA patients (P &lt; 0.05), with peak increase on postoperative N3 (OSA vs. non-OSA, 29 [14, 57] vs. 8 [2, 18], median [25th, 75th percentile], P &lt; 0.05). Hypopnea index accounted for 72% of the postoperative increase in AHI. The central apnea index was low (median = 0) but was significantly increased on postoperative N1 in only non-OSA patients. Sleep efficiency, rapid eye movement sleep, and slow-wave sleep were decreased on N1 in both groups, with gradual recovery. Conclusions: Postoperatively, sleep architecture was disturbed and AHI was increased in both OSA and non-OSA patients. Although the disturbances in sleep architecture were greatest on postoperative N1, breathing disturbances during sleep were greatest on postoperative N3.

scholarly journals 0598 Blurred Binaries: The Clinical Management of Obstructive Sleep Apnea in Transgender Patients

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A229-A229
Author(s):  
B Peters-Mathews ◽  
M Lee ◽  
A Sabzpoushan
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Gender Identity ◽  
Mood Disorders ◽  
Case Series ◽  
Careful Consideration ◽  
Comorbid Conditions ◽  
Loss To Follow Up ◽  
Obstructive Sleep

Abstract Introduction Transgender patients require careful clinical assessment to identify the effects of hormones on their risk of obstructive sleep apnea. Testosterone increases sleep apnea risk and assigned males at birth may develop the condition earlier. Estrogen and progesterone are known to reduce sleep apnea risk. Depending on the use of supplemental hormones and surgical status, the risk of sleep apnea may be altered in a transgender patient. Comorbid conditions, including mood disorders and obesity, may further impact sleep. This topic has not been well-studied, and this pilot project identifies special needs that exist in transgender populations. Methods This retrospective chart review included 25 subjects who identify as transgender who have been managed at an urban sleep disorders center from 2017 to 2019. The case series was assessed to identify characteristics that impact the diagnosis and treatment of obstructive sleep apnea (natural and supplemental hormonal effects, surgical effects, comorbid conditions, etc.). Results The average age of the cohort was 34 years (range 16 to 76). Fourteen subjects were assigned females at birth and identify as men and 11 subjects were assigned males at birth and identify as women. Preferred pronoun usage was concordant with gender identity in 21 subjects, discordant in 1 subject, and gender-neutral (they/them) was used by 3 subjects. Based on 24 subjects, the average BMI was 35.5 (range 23.5 to 53.1). The measured neck circumference was &lt;16 inches in 9 subjects, &gt;17 inches in 6 subjects,and a risk factor for sleep apnea based on birth-assigned sex but not gender identity in 4 subjects. Hormone therapy was used by 24 subjects to enhance their gender identities. When documented, 6 subjects had mastectomies and 2 also had total hysterectomies. Anxiety or depression had been diagnosed in 20 subjects. Testing revealed sleep apnea in 18 subjects. Loss to follow up affected 9 subjects. Conclusion Transgender patients deserve respectful evaluation and careful consideration regarding risk factors for obstructive sleep apnea that may be impacted by gender-affirming hormonal therapy or surgery, and weight gain. Higher rates of mood disorders and loss to follow up may put these patients at long-term risk. Support N/A

scholarly journals P.069 Respiratory dysfunction and sleep disordered breathing in children with Myasthenia Gravis

2018 ◽  
Vol 45 (s2) ◽  
pp. S34-S34
Author(s):  
HF Qashqari ◽  
I Narang ◽  
H Katzberg ◽  
K Vezina ◽  
A Khayat ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Myasthenia Gravis ◽  
Sleep Disordered Breathing ◽  
Pediatric Population ◽  
Respiratory Muscles ◽  
Apnea Hypopnea Index ◽  
Respiratory Dysfunction ◽  
Obstructive Sleep ◽  
Disordered Breathing

Background: Myasthenia Gravis ( MG) is an autoimmune disease that affects the neuromuscular junction. It typically presents with fluctuating muscle weakness which can affect respiratory muscles. Data about the prevalence of sleep disordered breathing in children with MG and the benefits of non-invasive ventilation outside the setting of MG crisis has not been studied so far. Methods: Eleven children between 3 and 18 years old with confirmed MG were recruited from the The Hospital for Sick Children Neuromuscular clinic in a prospective observational study. Informed consent was obtained and patients underwent PFTs, MIP/MEP, SNIP, FVC and standard polysomnography testing’s. Results: In our study, we found that 2/11 children had abnormal Apnea Hypopnea index (AHI) and were diagnosed with obstructive sleep apnea (OSA). One of them has juvenile ocular MG with mild to moderate OSA and the second child has congenital MG with mild OSA. CPAP therapy was initiated for both patients. Conclusions: In our cohort, obstructive sleep apnea rate was significantly higher in children with MG than the known prevalence in general pediatric population ( 18% vs 2-3% ). Early diagnosis and management of OSA can have great impact on children’s health and quality of life. A larger study is needed to validate our findings.

scholarly journals Impaired Glucose Metabolisms of Patients with Obstructive Sleep Apnea and Type 2 Diabetes

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ye Zhang ◽  
Yanpeng Xing ◽  
Haibo Yuan ◽  
Xiaokun Gang ◽  
Weiying Guo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Plasma Cortisol ◽  
Sleep Disordered Breathing ◽  
Model Assessment ◽  
Obstructive Sleep ◽  
Underlying Mechanisms ◽  
Disordered Breathing

Aims. Obstructive sleep apnea (OSA) is a very common disorder which is associated with metabolic comorbidities. The aims of this study were to analyze clinical data of patients with OSA and evaluate influence of sleep-disordered breathing on glycometabolism and its underlying mechanisms. Methods. We designed a cross-sectional study involving 53 OSA patients in The First Hospital of Jilin University from March 2015 to March 2016. They underwent a full-night polysomnography, measurement of fasting blood glucose and blood lipid profiles. Besides, we chose 20 individuals with type 2 diabetes mellitus (T2DM) as a subgroup for an in-depth study. This group additionally underwent a steamed bread meal test and measurement of HbA1c, C-reactive protein, tumor necrosis factor-α, interleukin 6, morning plasma cortisol, and growth hormone. Results. The two groups which with or without T2DM showed no significant differences in baseline characteristics. As for OSA patients with T2DM, the severe OSA group had higher homeostasis model assessment of insulin resistance (HOMA-IR) (P=0.013) than the mild-to-moderate OSA group, whereas had lower morning plasma cortisol levels (P=0.005) than the mild-to-moderate OSA group. AHI was positive correlated with HOMA-IR (r=0.523, P=0.018), yet negative correlated with morning plasma cortisol (r=−0.694, P=0.001). However, nadir SpO2 was positive correlated with morning plasma cortisol (rs=0.646, P=0.002), while negative correlated with HOMA-IR (rs=−0.489, P=0.029). Conclusions. Our study showed that sleep-disordered breathing exerted negative influence on glucose metabolisms. The impairment of hypothalamic-pituitary-adrenal axis activity may be one of the underlying mechanisms of the glycometabolic dysfunctions in OSA with T2DM patients.

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