Association between sleep disorders and health care utilization in children with chronic medical conditions: a Medicaid claims data analysis.

STUDY OBJECTIVES: To examine the risk of increased health care utilization (HU) linked to individual sleep disorders in children with chronic medical conditions. METHODS: Medicaid claims data from a cohort of 16,325 children enrolled in the Coordinated Healthcare for Complex Kids (CHECK) project were used. Sleep disorders and chronic medical conditions were identified using International Classification of Diseases, Ninth, and 10th Revision, codes. Three HU groups were identified based on participants' prior hospitalizations and emergency department (ED) visits in the 12 months prior to enrollment: low (no hospitalization or ED visit), medium (1-2 hospitalizations or 1-3 ED visits), and high (≥ 3 hospitalizations or ≥ 4 ED visits). The odds of being in an increased HU group associated with specific sleep disorders after controlling for confounding factors were examined. RESULTS: Children with chronic medical conditions and any sleep disorder had nearly twice the odds (odds ratio = 1.83; 95% confidence interval: 1.67-2.01) of being in an increased HU group compared with those without a sleep disorder. The odds of being in the increased HU group varied among sleep disorders. Only sleep-disordered breathing (odds ratio = 1.51; 95% confidence interval : 1.17-1.95), insomnia (odds ratio = 1.46; 95% confidence interval : 1.06-2.02), and circadian rhythm sleep disorder (odds ratio = 2.45; 95% confidence interval : 1.07-5.64) increased those odds. Younger age and being White were also linked to increased HU. CONCLUSIONS: Sleep disorders are associated with increased risk of heightened HU (ED visits and/or hospitalizations) in children with chronic medical conditions. This risk varies by specific sleep disorders. These findings indicate the need for careful evaluation and management of sleep disorders in this high-risk cohort. CITATION: Adavadkar PA, Brooks L, Pappalardo AA, Schwartz A, Rasinski K, Martin MA. Association between sleep disorders and health care utilization in children with chronic medical conditions: a Medicaid claims data analysis. J Clin Sleep Med. 2024;20(4):595-601.

Rates of diagnoses of sleep disorders in children with chronic medical conditions.

STUDY OBJECTIVES: This investigation examines sleep disorder (SD) diagnoses in a large population of children and adolescents with chronic medical conditions (CMCs). Little is known about SD diagnoses in this population. The large population used in this study allowed examination of SD rates by CMC type and demographics. METHODS: Data were from the Coordinated Health Care for Complex Kids (CHECK) project designed for Medicaid-funded children and adolescents with at least 1 CMC from a large metropolitan area. The study population (n = 16,609) was limited to children and adolescents, 0 to 18 years of age. SD and CMC diagnoses were obtained from Medicaid claims data. RESULTS: Fourteen percent of the population (mean age of 9.1 years [standard deviation = 5.2]; 35.8% African American; 56.4% male; 77 with more than 1 CMC) received a sleep disorder diagnosis. The most frequent diagnosis was sleep-disordered breathing (11.2%), followed by nocturnal enuresis (1.2%) and insomnia (1%). SDs were diagnosed more frequently in those with multiple CMCs than in those with 1 CMC (19.7% vs 5.8%; P < .001). Insomnia rates in Hispanic/Latinx (1.2%) and African American (0.8%) children and adolescents were significantly lower (both P < .001) than in Caucasians (3.5%). Odds of receiving a sleep diagnosis varied among CMCs. CONCLUSIONS: Our analysis of Medicaid claims data of a large urban cohort offers detailed information about the rates of sleep diagnoses and suggests underdiagnosis of SDs in this vulnerable, high-risk, primarily ethnic minority population. Underrecognition of sleep disorders has short- and long-term health and economic consequences. Study results may help clinicians implement appropriate SD screening and management for children and adolescents with CMCs. CITATION: Adavadkar PA, Pappalardo AA, Glassgow AE, et al. Rates of diagnoses of sleep disorders in children with chronic medical conditions. J Clin Sleep Med. 2022;18(8):2001-2007.

Comparing two pediatric sleep questionnaires: The Pediatric Sleep Questionnaire (PSQ) and a set of 6 hierarchically arranged questions (6Q).

OBJECTIVE: To compare the Pediatric Sleep Questionnaire (PSQ) and a less time-consuming set of 6 hierarchically arranged questions (6Q) as they relate to the pre-test probability for sleep apnea in pediatric patients. METHODS: Parents of 116 subjects between the ages of 7 and 17 answered two sleep questionnaires (the PSQ and the 6Q) distributed in random order before the subjects had sleep studies. Correlation coefficients were used for apnea-hypopnea index (AHI) prediction, while the area under the curve (AUC) was calculated for sleep apnea classification prediction. RESULTS: The 6Q showed statistical significance, while the more commonly used PSQ did not, both in terms of correlating with AHI (rho = 0.294, p = 0.001) and predicting moderate and severe sleep apnea (AUC = 0.650 and 0.788, respectively). CONCLUSION: Although additional field validation is required, these pediatric sleep questionnaires are sensitive and easy-to-use screening tools that can greatly help in the screening for pediatric sleep apnea.

Validation of the MediByte Portable Monitor for the Diagnosis of Sleep Apnea in Pediatric Patients.

STUDY OBJECTIVES: Polysomnography (PSG) is considered the gold standard in the diagnosis of sleep apnea. In pediatric patients, because of limited availability and access to laboratory-based PSG, there can be significant delays in the diagnosis and management of sleep apnea that can result in progressive associated comorbidities. The main objective of the current study was to test the diagnostic value of a portable sleep monitor (PM), the MediByte, in comparison with laboratory PSG in pediatric patients wearing both setups simultaneously. METHODS: A consecutive series of pediatric patients referred to the University of Illinois Sleep Science Center wore the MediByte during simultaneous PSG. The apnea-hypopnea index (AHI) was calculated for PSG and both manual and autoscoring functions of the PM. Pearson correlation and Bland-Altman plots were assessed. RESULTS: A total of 70 patients successfully completed simultaneous PSG and PM studies (median age 10.8 years). The AHI obtained both manually and automatically scored PM studies strongly correlated with the AHI obtained from the PSG (r ≥ .932, P < .001). The oxygen saturation obtained by the PM showed significant correlation with that obtained by PSG among children aged 12 to 17 years (P < .001), but not among children aged 7 to 11 years (P ≥ .24). The sensitivity and specificity for detection of severe sleep apnea diagnosed by PSG (AHI ≥ 10 events/h) using both PM scoring methods was very high (> 93% for both). CONCLUSIONS: Although PSG is still recommended for the diagnosis of sleep apnea, PMs can play a valuable role in diagnosing moderate and severe sleep apnea, especially in older pediatric patients. COMMENTARY: A commentary on this article appears in this issue on page 685.