Approach to the snoring child

Habitual snoring coexisting with respiratory allergies in children: Prevalence and impact on quality of life extending beyond primary snoring

Background

Children who have respiratory allergies are more likely to experience sleep disturbances. Persistent sleep-disordered breathing directly contributes to poor symptom control for asthma and allergic rhinitis, including deterioration in quality of life. This study aimed to investigate the prevalence, risk factors of habitual snoring, and the correlation between 18-item obstructive sleep apnea (OSA-18) scores and the level of asthma and allergic rhinitis (AR) symptoms control for habitual snorers with respiratory allergies.

Material and methods

A cross-sectional design was conducted on Thai children aged 2 to 15 who were diagnosed with asthma and AR in a respiratory allergy clinic at the Medical Education Center. The Pediatric Sleep Questionnaire was used to determine the prevalence of habitual snoring. Patients with habitual snoring completed the OSA-18 quality of life questionnaire, which was divided into 5 subscales: sleep disturbance, physical symptoms, emotional distress, daytime function, and caregiver concerns. Symptom control for asthma and AR was evaluated according to the Global Initiative for Asthma (GINA) guidelines and the Visual Analog Scales (VAS), respectively. Multivariable logistic regression models and adjusted odds ratios were used to assess associations.

Results

A total of 565 participants were enrolled, and 363 (64.2%) were male. Habitual snoring had the highest prevalence of sleep-disordered breathing in 29.6% of patients with respiratory allergies. Patients with poorly controlled symptoms had a significantly higher risk of habitual snoring than well controlled symptoms for AR (52.0% vs 19.1%, adjusted Odds Ratio: aOR 4.39, 95%CI 2.25-8.58, p < 0.001) and for asthma concomitant with AR (54.9% vs. 18.8%, aOR 5.18, 95%CI 2.52-10.68, p < 0.001). Habitual snorers with poorly controlled asthma negatively affected their quality of life more than those with well controlled asthma (37.7% vs 13.3%, p = 0.005), as did patients with underlying AR (46.2% vs 22.9%, p = 0.002). In comparison to habitual snorers with well controlled symptoms, those with poorly controlled symptoms for respiratory allergies had higher mean the OSA-18 scores across all subscales.

Conclusion

Nearly one-third of children with respiratory allergies develop habitual snoring. Poorly controlled symptoms of asthma and allergic rhinitis raise the possibility of developing habitual snoring. Their quality of life and caregivers were shown to be affected just as negatively as those with obstructive sleep apnea (OSA) syndrome.

Efficacy of Roncolab mobile application for diagnosing the primary sign of sleep-disordered breathing (snoring) in children

Sleep-disordered breathing (SDB) is a group of disorders associated with breathing anomalies during sleep. Easily detectable by sound, snoring is one of the most common manifestations and the main sign of SDB. Snoring is characteristic of breathing sound during sleep, without apnea, hypoventilation, or interrupted sleep. It may reduce the percentage of sleep and increase microarousals due to breathing effort or gas exchange. A range of questionnaires have been validated and adapted to the pediatric population to screen for patients who require laboratory testing. The Pediatric Sleep Questionnaire (PSQ) screens for SDB and identifies primary signs such as snoring. RoncoLab is a mobile application that records and measures snoring intensity and frequency.

Aim

To compare the RoncoLab app and the PSQ regarding how efficiently they diagnose snoring.

Materials and Method

This was an observational, analytical study of 31 children aged 7 to 11 years who visited the pediatric dental clinic at Benemérita Universidad Autónoma de Puebla, Mexico (BUAP). The PSQ was applied to diagnose SDB. Guardians were then instructed on how to download and use the mobile application to record data while the child was sleeping at home. Agreement between RoncoLab and the PSQ was analyzed statistically by Cohen's Kappa index at 95% confidence level.

Results

The Kappa index for identification of primary snoring was 0.743 (p<0.05). App sensitivity was 0.92, and specificity 0.82.

Conclusion

There is good agreement between PSQ and RoncoLab for diagnosing primary snoring, with acceptable sensitivity and specificity.

Possible sleep bruxism and biological rhythm in school children

OBJECTIVE

To verify whether children with possible sleep bruxism (PSB) had alterations in biological rhythm and to explore the possible factors involved, such as sleep characteristics, screen time, breathing, sugary food consumption, and clenching teeth during wakefulness reported by parents/guardians.

METHODOLOGY

Data were collected through online interviews with 178 parents/guardians of students aged 6 to14 years from Piracicaba, SP, BR, when the BRIAN-K scale was answered, which is composed of four domains (1) sleep; (2) daily routine activities; (3) social behavior; (4) eating; questions about predominant rhythms (willingness, concentration, and change day to night). Three groups were formed: (1) without PSB (WPSB), (2) with PSB sometimes (PSBS), and (3) with PSB frequently (PSBF).

RESULTS

Sociodemographic variables were similar between groups (P > 0.05); the total value of the BRIAN-K was significantly higher for the PSBF group (P < 0.05); the first domain (sleep) presented significantly higher values for the PSB groups (P < 0.05); no significant difference for other domains and predominant rhythms occurred (P > 0.05). The involved factor that differed between groups was clenching teeth, as the number of children with PSBS was significantly higher (χ2, P = 0.005). The first domain of the BRIAN-K (P = 0.003; OR = 1.20), and clenching teeth (P = 0.048; OR = 2.04) were positively associated with PSB.

CONCLUSION

Difficulties in maintaining sleep rhythm and clenching teeth during wakefulness reported by parents/guardians may determine a greater chance to increase the frequency of PSB.

CLINICAL RELEVANCE

Good sleep seems to be important to maintain a regular biological rhythm and may reduce the frequency of PSB in the 6-14 age group.

Siblings' Risk of Adenoid Hypertrophy: A Cohort Study in Children

BACKGROUND

The aim of this study was to compare adenoid size in preschool-age siblings using flexible nasopharyngoscopy examination (FNE) when they reach the same age. The occurrence of adenoid symptoms in these patients was also analyzed. This study was conducted to analyze the adenoid size in siblings when they reach the same age and substantiate a correlation between adenoid hypertrophy (AH) and adenoid symptoms.

METHODS

We analyzed and reported on the symptoms, ENT examination results, and FNE of 49 pairs of siblings who were examined at the same age.

RESULTS

There was a strong association in adenoid size between siblings when they are at a similar age (r = 0.673, p < 0.001). Second-born children whose older sibling had IIIo AH (A/C ratio > 65%) had a risk of IIIo AH 26 times greater than patients whose older sibling did not have IIIo AH (OR = 26.30, 95% CI = 2.82-245.54). Over 90% of snoring children whose siblings had confirmed IIIo AH would develop IIIo AH by the time they reach the same age. Second-born children in whom snoring occurs and whose older siblings have a IIIo AH have about a 46 times higher risk of IIIo AH compared to patients who did not meet these two conditions (p < 0.001, OR = 46.67, 95% CI = 8.37-260.30).

CONCLUSIONS

A significant familial correlation between adenoid size in siblings when they reach the same age was shown. If the older sibling has a confirmed overgrown adenoid (IIIo AH) and their younger sibling presents adenoid symptoms, particularly snoring, it is highly probable that they will also have an overgrown adenoid.

Behavioural sleep problems in children

Behavioural sleep problems are very common in children and are concerns for many parents. This review discusses normal sleep physiology and sleep development and focuses on common behavioural sleep problems in childhood, including behavioural insomnia of childhood, parasomnias and sleep-related movement disorders, highlighting their clinical features and management. Behavioural insomnia of childhood is characterised by learned difficulties in falling asleep and/or staying asleep. Management includes establishing bedtime routines and behavioural techniques. Parasomnias include confusional arousals, sleepwalking, sleep terrors and nightmares, and these usually resolve with time. Management includes parental reassurance and behavioural interventions such as scheduled awakening. With regards to sleep enuresis, management includes behavioural modifications, enuresis alarm and desmopressin. Sleep-related movement disorders include sleep-related bruxism and sleep-related rhythmic movements, of which body rocking is the most common. Early identification and management of behavioural sleep problems may prevent their negative impact on children as well as their families.