Predictors of sleep hypoxemia in children with cystic fibrosis
Amal Isaiah1, Amine Daher2, Preeti B Sharma2
1Division of Pediatric Otolaryngology, Department of Otolaryngology-Head and Neck Surgery, Dallas, Texas.
Insights
In children with cystic fibrosis (CF), lung function (percent predicted forced expiratory volume in one second, pFEV1) best predicts nocturnal hypoxemia. Clinical factors did not predict sleep-related oxygen desaturation in this study.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
- Cystic Fibrosis Research
Background:
- Nocturnal hypoxemia is a concern in children with cystic fibrosis (CF).
- Identifying predictors of hypoxemia is crucial for timely intervention.
- Previous studies have explored various factors, but a clear predictor in this population remained elusive.
Purpose of the Study:
- To determine the key determinants of nocturnal hypoxemia in pediatric CF patients.
- To investigate the predictive value of clinical parameters, polysomnography (PSG), and lung function tests.
Main Methods:
- A retrospective case series design was employed.
- Included were 35 children (aged 5-18 years) with CF and available concurrent PSG and pFEV1 data.
- Regression analysis assessed the impact of demographic, clinical, PSG, and pFEV1 variables on time spent with oxygen saturation below 90% (TSpO2 < 90).
Main Results:
- No demographic or clinical variables predicted hypoxemia severity.
- Polysomnography (PSG) variables and pFEV1 significantly explained the variance in nocturnal hypoxemia (R² = 0.53, P < 0.001).
- Percent predicted forced expiratory volume in one second (pFEV1) emerged as the single best predictor, with a cut-off of 53% showing high sensitivity (0.80) and specificity (0.87).
Conclusions:
- Lung function, specifically pFEV1, is the primary predictor of sleep hypoxemia in children with CF undergoing PSG.
- Demographic and clinical factors were not found to be significant predictors in this cohort.
- These findings highlight the importance of monitoring lung function to anticipate and manage nocturnal hypoxemia in pediatric CF patients.
Objectives:
To identify the determinants of nocturnal hypoxemia in children with CF using clinical parameters, polysomnography (PSG), and lung function.
Hypothesis:
Sleep hypoxemia in children with CF is predicted by both apnea hypopnea index (AHI) and percent predicted forced expiratory volume in one second (pFEV1).
Design:
Retrospective case series.
Methods:
Children aged 5-18 years were included based on (i) a diagnosis of CF; and (ii) availability of concurrent PSG and pFEV1 data. The impact of (i) demographic and clinical parameters; and (ii) PSG and pFEV1, on the total sleep time spent with arterial oxygen saturation below 90% (TSpO2 < 90) was measured using regression analysis. P-value <0.05 was considered significant.
Results:
The mean age was 11.6 years (95% confidence interval: 9.5, 13.1). Twenty of 35 (57%) were boys and the mean body mass index percentile was 42.1 (31.5, 52.6). The most common ethnicity was white (66%). OSA was diagnosed in 50%. Neither demographic predictors nor clinical variables predicted the severity of hypoxemia (R2 = 0.23, P = 0.09). While pFEV1 and PSG variables accounted for significant proportion of the overall variance in TSpO2 < 90 (R2 = 0.53, P < 0.001), pFEV1 was identified as the single best predictor of sleep hypoxemia. A pFEV1 cut-off of 53% indicated a sensitivity of 0.80 and a specificity of 0.87 in predicting sleep hypoxemia.
Conclusions:
pFEV1 is the best predictor of sleep hypoxemia in children with CF and referred for PSG. No demographic or clinical predictors of hypoxemia were identified in this population.
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