Predictors for achieving optimal sleep in healthy children: Exploring sleep patterns in a sleep extension trial.

STUDY OBJECTIVES: Earlier bedtimes can help some children get more sleep, but we don't know which children, or what features of their usual sleep patterns could predict success with this approach. Using data from a randomized crossover trial of sleep manipulation, we sought to determine this. METHODS: Participants were 99 children aged 8-12years (49.5% female) with no sleep disturbances. Sleep was measured by actigraphy at baseline and over a restriction or extension week (1 hour later or earlier bedtime respectively), randomly allocated and separated by a washout week. Data were compared between baseline (week 1) and extension weeks only (week 3 or 5), using linear or logistic regression analyses as appropriate, controlling for randomization order. RESULTS: One hour less total sleep time than average at baseline predicted 29.7 minutes (95% CI: 19.4, 40.1) of sleep gained and 3.45 (95% CI: 1.74, 6.81) times higher odds of successfully extending sleep by >30 minutes. Per standardized variable, less total sleep time and a shorter sleep period time were the strongest predictors (significant odds ratios (ORs) of 2.51 and 2.28, respectively). Later sleep offset, more variability in sleep timing and lower sleep efficiency also predicted sleep gains. The sleep period time cut-point that optimized prediction of successful sleep gains was <8 hours 28 minutes with 75% of children's baseline sleep in that range. CONCLUSIONS: Children with a baseline sleep period time <8½ hours a night obtained the most sleep from earlier bedtimes maintained over a week, demonstrating experimentally the value of earlier bedtimes to improve sleep. CLINICAL TRIALS REGISTRY: Australian New Zealand Clinical Trial Registry, ACTRN12618001671257, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true.

The effect of modest changes in sleep on dietary intake and eating behavior in children: secondary outcomes of a randomized crossover trial.

BACKGROUND: Insufficient sleep duration increases obesity risk in children, but the mechanisms remain unclear. OBJECTIVES: This study seeks to determine how changes in sleep influence energy intake and eating behavior. METHODS: Sleep was experimentally manipulated in a randomized, crossover study in 105 children (8-12 y) who met current sleep guidelines (8-11 h/night). Participants went to bed 1 h earlier (sleep extension condition) and 1 h later (sleep restriction condition) than their usual bedtime for 7 consecutive nights, separated by a 1-wk washout. Sleep was measured via waist-worn actigraphy. Dietary intake (2 24-h recalls/wk), eating behaviors (Child Eating Behavior Questionnaire), and the desire to eat different foods (questionnaire) were measured during or at the end of both sleep conditions. The type of food was classified by the level of processing (NOVA) and as core or noncore (typically energy-dense foods) foods. Data were analyzed according to 'intention to treat' and 'per protocol,' an a priori difference in sleep duration between intervention conditions of ≥30 min. RESULTS: The intention to treat analysis (n = 100) showed a mean difference (95% CI) in daily energy intake of 233 kJ (-42, 509), with significantly more energy from noncore foods (416 kJ; 6.5, 826) during sleep restriction. Differences were magnified in the per-protocol analysis, with differences in daily energy of 361 kJ (20, 702), noncore foods of 504 kJ (25, 984), and ultraprocessed foods of 523 kJ (93, 952). Differences in eating behaviors were also observed, with greater emotional overeating (0.12; 0.01, 0.24) and undereating (0.15; 0.03, 0.27), but not satiety responsiveness (-0.06; -0.17, 0.04) with sleep restriction. CONCLUSIONS: Mild sleep deprivation may play a role in pediatric obesity by increasing caloric intake, particularly from noncore and ultraprocessed foods. Eating in response to emotions rather than perceived hunger may partly explain why children engage in unhealthy dietary behaviors when tired. This trial was registered at Australian New Zealand Clinical Trials Registry; ANZCTR as CTRN12618001671257.

Time to first dose of antibiotics in febrile neonates.

AIM: To assess whether febrile neonates from the community received their first dose of intravenous antibiotics within 1 h from time of arrival, as per the regional paediatric sepsis pathway, at a tertiary combined adult/child emergency department in New Zealand. METHOD: Retrospective data were collected from January 2018 to December 2019 with 28 patients included. RESULTS: Mean time to first antibiotic dose for all neonates and those with serious bacterial infection was 3 h 20 min and 2 h 53 min respectively. No case used the paediatric sepsis pathway. A pathogen was identified in 19/28 (67%) neonates and 16/28 (57%) had clinical signs of shock. CONCLUSION: This study adds to Australasian data on community neonatal sepsis. Antibiotic administration was delayed for neonates with serious bacterial infection, clinical signs of shock and raised lactate. The reasons for delay are examined, with a number of potential areas for improvement identified.

Effect of Sleep Changes on Health-Related Quality of Life in Healthy Children: A Secondary Analysis of the DREAM Crossover Trial.

Importance: Little is known regarding the effect of poor sleep on health-related quality of life (HRQOL) in healthy children. Objective: To determine the effect of induced mild sleep deprivation on HRQOL in children without major sleep issues. Design, Setting, and Participants: This prespecified secondary analysis focused on HRQOL, a secondary outcome of the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized crossover trial of children who underwent alternating weeks of sleep restriction and sleep extension and a 1-week washout in between. The DREAM trial intervention was administered at participants' homes between October 2018 and March 2020. Participants were 100 children aged 8 to 12 years who lived in Dunedin, New Zealand; had no underlying medical conditions; and had parent- or guardian-reported normal sleep (8-11 hours/night). Data were analyzed between July 4 and September 1, 2022. Interventions: Bedtimes were manipulated to be 1 hour later (sleep restriction) and 1 hour earlier (sleep extension) than usual for 1 week each. Wake times were unchanged. Main Outcomes and Measures: All outcome measures were assessed during both intervention weeks. Sleep timing and duration were assessed using 7-night actigraphy. Children and parents rated the child's sleep disturbances (night) and impairment (day) using the 8-item Pediatric Sleep Disturbance and 8-item Sleep-Related Impairment scales of the Patient-Reported Outcomes Measurement Information System questionnaire. Child-reported HRQOL was assessed using the 27-item KIDSCREEN questionnaire with 5 subscale scores and a total score. Both questionnaires assessed the past 7 days at the end of each intervention week. Data were presented as mean differences and 95% CIs between the sleep restriction and extension weeks and were analyzed using intention to treat and an a priori difference in sleep of at least 30 minutes per night. Results: The final sample comprised 100 children (52 girls [52%]; mean [SD] age, 10.3 [1.4] years). During the sleep restriction week, children went to sleep 64 (95% CI, 58-70) minutes later, and sleep offset (wake time) was 18 (95% CI, 13-24) minutes later, meaning that children received 39 (95% CI, 32-46) minutes less of total sleep per night compared with the sleep extension week in which the total sleep time was 71 (95% CI, 64-78) minutes less in the per-protocol sample analysis. Both parents and children reported significantly less sleep disturbance at night but greater sleep impairment during the day with sleep restriction. Significant standardized reductions in physical well-being (standardized mean difference [SMD], -0.28; 95% CI, -0.49 to -0.08), coping in a school environment (SMD, -0.26; 95% CI, -0.42 to -0.09), and total HRQOL score (SMD, -0.21; 95% CI, -0.34 to -0.08) were reported by children during sleep restriction, with an additional reduction in social and peer support (SMD, -0.24; 95% CI, -0.47 to -0.01) in the per-protocol sample analysis. Conclusions and Relevance: Results of this secondary analysis of the DREAM trial indicated that even 39 minutes less of sleep per night for 1 week significantly reduced several facets of HRQOL in children. This finding shows that ensuring children receive sufficient good-quality sleep is an important child health issue. Trial Registration: Australian New Zealand Clinical Trials Registry: ACTRN12618001671257.

Children talking about their sleep: a cross-sectional survey of differences by ethnicity and socioeconomic status in Aotearoa New Zealand primary schools.

STUDY OBJECTIVES: This study examined differences by ethnicity and socioeconomic status in attitudes to sleep and bedtime routine, as self-reported by children aged 7-9 years. METHODS: Four groups of parent-child dyads were recruited: Maori participants from low- (n = 18) and high- (n = 17) decile schools and New Zealand European participants from low- (n = 18) and high- (n = 17) decile schools. Children completed a questionnaire about their sleep, a self-report of anxiety symptoms, and a semistructured interview. RESULTS: Most (77%) children reported liking to go to sleep (Maori, 88% vs New Zealand European, 65%; P = .053) and 28% reported trouble sleeping. Maori children were less likely to report fear of the dark and fighting about going to bed. Liking going to sleep was associated with less fear of the dark and of sleeping alone. Children from low-decile schools more often reported waking with pain and feeling sleepy (P = .022) and taking naps (P = .018) during the day. They also had more symptoms of anxiety. New Zealand European children more frequently reported using "screen time" (P = .02) or "reading a book" (P = .05). Children attending high-decile schools were more likely to read at bedtime (P = .01), whereas children attending low-decile schools were more likely to have "play time" (P = .02). Children were able to articulate what was a good night and bad night sleep. CONCLUSIONS: These findings suggest that more adverse differences in sleep habits and attitudes in children are most likely to be related to socioeconomic status than to ethnicity. CITATION: Elder D, Miller J, Douglas B, Stanley J, McDowall P, Campbell A. Children talking about their sleep: a cross-sectional survey of differences by ethnicity and socioeconomic status in Aotearoa New Zealand primary schools. J Clin Sleep Med. 2023;19(1):119-133.

Where does the time go when children don't sleep? A randomized crossover study.

OBJECTIVE: This study aimed to describe how mild sleep deprivation in children changes time spent physically active and sedentary. METHODS: In 2018 through 2020, children (n = 105) with normal sleep were randomized to go to bed 1 hour earlier (extension) or 1 hour later (restriction) than their usual bedtime for 1 week, each separated by a 1-week washout. Twenty-four-hour movement behaviors were measured with waist-worn actigraphy and expressed in minutes and proportions (percentages). Mixed-effects regression models determined mean differences in time use (95% CI) between conditions. Time gained from sleep lost that was reallocated to other movement behaviors in the 24-hour day was modeled using regression. RESULTS: Children (n = 96) gained ~49 minutes of awake time when sleep was restricted compared with extended. This time was mostly reallocated to sedentary behavior (28 minutes; 95% CI: 19-37), followed by physical activity (22 minutes; 95% CI: 14-30). When time was expressed as a percentage, the overall composition of movement behavior remained similar across both sleep conditions. CONCLUSIONS: Children were not less physically active when mildly sleep deprived. Time gained from sleeping less was proportionally, rather than preferentially, reallocated to sedentary time and physical activity. These findings suggest that decreased physical activity seems unlikely to explain the association between short sleep and obesity in children.

CPAP for paediatric patients in Aotearoa New Zealand: audit of a developing service at Capital and Coast DHB 2005-2020.

AIMS: To document the establishment of a Paediatric Continuous Positive Airway Pressure (CPAP) service within the Wellington Region, and review outcomes over the last 15 years. METHODS: A retrospective audit of the Paediatric Sleep Service records including clinic letters and polysomnography (PSG) studies for all paediatric patients commenced on CPAP treatment, or for whom CPAP treatment was offered, from November 2005 to December 2020. Data were collected on demographics, medical diagnoses, indications for respiratory support, ENT involvement and surgery. Factors related to CPAP use were also recorded. RESULTS: Seventy-four children were offered CPAP in the time frame, 52 (70%) male. The age range at onset of CPAP treatment was <1 year of age to 23 years with 12 cases ≥16 years of age. There were 3 (4%) cases presenting before 2006, 11 (15%) cases from 2006-2010, 16 (22%) cases from 2011-2015 and 44 (59%) cases between 2016-2020. Ethnicities included were, 32 (43%) NZ European, 18 (24%) Maori, 19 (26%) Pacific and 5 (7%) Indian/Asian. The most common primary diagnoses were Obesity 21 (28%), Down Syndrome 10 (14%) and Craniofacial abnormalities 8 (11%). One family declined a CPAP trial and there were eight failed CPAP trials. For the remaining 65 patients, compliance with treatment was good/usually good for 25, variable for 19, and poor for 21. Maori patients were less likely to have good/usually good compliance than NZ European and Pacific patients (25% versus 44% and 47% respectively). CONCLUSION: Referrals for CPAP treatment in the paediatric age range are increasing and obesity is the commonest co-morbidity. Services need to be culturally appropriate to ensure the best outcomes.

Infant Sleep Hazards and the Risk of Sudden Unexpected Death in Infancy.

OBJECTIVE: To examine the effects of infant sofa-sleeping, recent use by caregivers of alcohol, cannabis, and/or other drugs, and bed type and pillows, on the risk of sudden unexpected death in infancy (SUDI) in New Zealand. STUDY DESIGN: A nationwide prospective case-control study was implemented between March 2012 and February 2015. Data were collected during interviews with parents/caregivers. "Hazards" were defined as infant exposure to 1 or more of sofa-sleeping and recent use by caregivers of alcohol, cannabis, and other drugs. The interaction of hazards with tobacco smoking in pregnancy and bed sharing, including for very young infants, and the difference in risk for Maori and non-Maori infants, also were assessed. RESULTS: The study enrolled 132 cases and 258 controls. SUDI risk increased with infant sofa-sleeping (imputed aOR [IaOR] 24.22, 95% CI 1.65-356.40) and with hazards (IaOR 3.35, 95% CI 1.40-8.01). The SUDI risk from the combination of tobacco smoking in pregnancy and bed sharing (IaOR 29.0, 95% CI 10.10-83.33) increased with the addition of 1 or more hazards (IaOR 148.24, 95% CI 15.72-1398), and infants younger than 3 months appeared to be at greater risk (IaOR 450.61, 95% CI 26.84-7593.14). CONCLUSIONS: Tobacco smoking in pregnancy and bed sharing remain the greatest SUDI risks for infants and risk increases further in the presence of sofa-sleeping or recent caregiver use of alcohol and/or cannabis and other drugs. Continued implementation of effective, appropriate programs for smoking cessation, safe sleep, and supplying safe sleep beds is required to reduce New Zealand SUDI rates and SUDI disparity among Maori.

Eating in the absence of hunger in children with mild sleep loss: a randomized crossover trial with learning effects.

BACKGROUND: While insufficient sleep duration has emerged as a strong, independent risk factor for obesity, the mechanisms remain unclear. One possibility is greater "eating in the absence of hunger" (EAH) or energy intake beyond the point of satiety, when tired. OBJECTIVE: The aim was to determine whether mild sleep loss increases EAH in children. METHODS: A crossover study was undertaken in 105 healthy children (8-12 y) with normal sleep (∼8-11 h/night). After randomization, children went to bed 1 h earlier (sleep extension) or 1 h later (sleep restriction) than their usual bedtime, over 2 intervention weeks separated by a 1-wk washout. At the end of each intervention week, children underwent an EAH feeding experiment involving a preloading meal until satiation, followed by an ad libitum buffet (of highly palatable snacks) to measure EAH, with each food item weighed before and after consumption. RESULTS: Ninety-three children completed the EAH experiment. There was no evidence of a difference in energy intake from EAH between sleep restriction and extension conditions when analyzed as a crossover design. However, a learning effect was found, with children eating significantly less (-239 kJ; 95% CI: -437, -41 kJ; P = 0.018) during the preload phase and significantly more (181 kJ; 95% CI: 38, 322 kJ; P = 0.013) in the ad libitum phase in the second week. No significant differences were seen using an underpowered parallel analysis for energy intake during the ad libitum phase when sleep deprived (106 kJ; 95% CI: -217, 431 kJ; P = 0.514). CONCLUSIONS: Our findings suggest that measuring a difference in eating behavior in relation to sleep proved unsuitable using the EAH experiment in a crossover design in children, due to a learning effect. This trial was registered at the Australian New Zealand Clinical Trials Registry (http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true) as ACTRN12618001671257 .

Obstructive sleep apnea risk factors and symptoms in children with a known parental obstructive sleep apnea diagnosis.

OBJECTIVE: To document symptoms and risk factors of obstructive sleep apnea (OSA) in children who have a parent diagnosed with OSA and compare them to an age and sex matched sample where parents are low risk for OSA. METHODS: We recruited 25 children with a parent diagnosed with OSA (P-OSA) and 29 age and gender matched children from the community whose parents scored low risk for OSA (P-NOSA). Comparisons were made using the OSA-18 questionnaire, anthropometric measurements, and mallampati score. Statistical analysis included t-tests for OSA-18 score and BMI measures and non parametric analysis for mallampati score. OSA-18 domain scores were analysed using T-test and Bonferroni correction for multiple comparisons. RESULTS: Fifty-six percent of the P-OSA group had a mallampati score of III/IV compared to 11% in the P-NOSA sample (p = 0.005). There was a significant difference in BMI between the P-OSA sample (mean ± SD 19.5 ± 5.7 kg/m2) and the P-NOSA sample (16.95 ± 2.08 kg/m2, p = 0.002). Forty-four percent of P-OSA children were found to be either overweight or obese (BMI z-score). None of the P-NOSA children fell into this category. No significant difference was found between the P-OSA and P-NOSA samples on the OSA-18 score (P-OSA 36.5 ± 8.1, P-NOSA 29.2 ± 9.1, p = 0.07). Five children in the P-OSA sample scored >60 but no P-NOSA children scored >60. CONCLUSIONS: This study suggests that children with a parent diagnosed with OSA are more likely to have risk factors of pediatric OSA compared to age and sex matched children of parents without OSA but do not have more symptoms.

Sleep in New Zealand children aged 7-9: associations with ethnicity, socioeconomic status, and achievement in reading and mathematics.

STUDY OBJECTIVES: The aims were (1) to investigate differences by ethnicity and socioeconomic status (SES) in objective measures of sleep in children aged 7-9 years and (2) determine whether measures of sleep predict child achievement in reading or mathematics after controlling for ethnicity and SES. METHODS: Four groups of parent-child dyads were recruited: Maori, low-SES schools (n = 18); Maori, high-SES schools (n = 17); New Zealand European, low-SES schools (n = 18); New Zealand European, high-SES schools (n = 17). Child sleep was measured by actigraphy. Parents and teachers reported child daytime sleepiness and behavior, and children completed a self-report of anxiety symptoms. Teachers also reported on child achievement in reading and mathematics. RESULTS: Children from low-SES schools went to bed later on school nights (F[1,68] = 12.150, P = .001) and woke later (F[1,68] = 15.978, P < .001) than children from high-SES schools but had similar sleep duration. There were no differences related to ethnicity. Children from low-SES schools were almost 3 times more likely to be below national standards for mathematics. Children not meeting academic standards in mathematics had a later sleep start time, lower sleep period efficiency, and a decreased total sleep time. However, when SES and sleep period efficiency were modeled together neither were found to significantly influence achievement in mathematics. CONCLUSIONS: In this study, SES influenced sleep timing but not the quality and quantity of sleep in 7- to 9-year-old children, and a significant independent effect of sleep efficiency on learning could not be demonstrated.

Impact of type 1 diabetes mellitus, glucose levels, and glycemic control on sleep in children and adolescents: a case-control study.

STUDY OBJECTIVES: To assess differences in habitual sleep patterns and sleep states between children and adolescents with type 1 diabetes mellitus (T1DM) and control subjects, and to explore the relationships between sleep, glucose levels, and glycemic control. METHODS: Participants included 82 children (5-18 years); 41 with T1DM (cases), and 41 healthy control subjects group matched for age and sex. Sleep was measured by 7-day actigraphy and single-night home-based polysomnography (PSG) recordings. Hemoglobin A1c (HbA1c) and 7 days of continuous glucose monitoring (CGM) data were collected in cases. Regression analyses were used to model all within- and between-group comparisons adjusted for age, sex, and BMI z-scores. RESULTS: There were no significant differences in sleep duration, efficiency, or awakenings as measured by actigraphy and PSG between cases and controls, nor sleep states measured by PSG. However, cases had significantly later sleep onset and offset than controls (both p < 0.05), partially moderated by age. Cases with suboptimal glycemic control (HbA1c ≥ 58 mmol/mol [≥7.5%]) had significantly shorter actigraphy-derived total sleep time (TST) (mean difference = -40 minutes; 95% confidence interval = -77, -3), with similar differences in TST measured by PSG. Cases with mean CGM glucose levels ≥10 mmol/L (≥180 mg/dL) on PSG night had significantly more stage N3 (%) sleep and less stage REM (%) sleep (both p < 0.05). CONCLUSIONS: Short- and long-term suboptimal glycemic control in T1DM children appears to be associated with sleep alterations. Pediatric diabetes care teams should be aware of potential interrelationships between sleep and T1DM, including management and glycemic control.

Training and confidence in undertaking child protection work as reported by New Zealand paediatricians.

AIM: In New Zealand and rural Australia, general paediatricians undertake the majority of child protection (CP) medical assessments. This study aimed to document what New Zealand paediatricians think about their role in CP and their perceived preparedness for this work. METHODS: A 43-item SurveyMonkey questionnaire was sent to paediatricians working in CP. Questions explored demographic detail, CP work undertaken clinically and with regard to teaching and paediatrician confidence and experience in areas of CP. A separate questionnaire documented organisational CP work. RESULTS: A total of 79 paediatricians, 45 (57%) female, responded from 15 of 20 District Health Boards. For 73%, CP was less than 10% of their weekly workload, with 42% indicating they had been the lead paediatrician for fewer than five cases in the preceding 12 months. Paediatricians were more confident managing physical abuse than sexual abuse cases with regard to initial assessments, report writing and appearances in court. Just over a third reported at least once feeling personally threatened or unsafe while involved in a CP case. Only 29% were satisfied with their level of training, and 73% agreed they would like more CP training. CONCLUSIONS: Paediatricians undertake a number of roles in CP but do not feel confident in all these roles. More attention needs to be given to training in CP in general paediatric physician training in New Zealand.

The effect of mild sleep deprivation on diet and eating behaviour in children: protocol for the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized cross-over trial.

BACKGROUND: Although insufficient sleep has emerged as a strong, independent risk factor for obesity in children, the mechanisms by which insufficient sleep leads to weight gain are uncertain. Observational research suggests that being tired influences what children eat more than how active they are, but only experimental research can determine causality. Few experimental studies have been undertaken to determine how reductions in sleep duration might affect indices of energy balance in children including food choice, appetite regulation, and sedentary time. The primary aim of this study is to objectively determine whether mild sleep deprivation increases energy intake in the absence of hunger. METHODS: The Daily, Rest, Eating, and Activity Monitoring (DREAM) study is a randomized controlled trial investigating how mild sleep deprivation influences eating behaviour and activity patterns in children using a counterbalanced, cross-over design. One hundred and ten children aged 8-12 years, with normal reported sleep duration of 8-11 h per night will undergo 2 weeks of sleep manipulation; seven nights of sleep restriction by going to bed 1 hr later than usual, and seven nights of sleep extension going to bed 1 hr earlier than usual, separated by a washout week. During each experimental week, 24-h movement behaviours (sleep, physical activity, sedentary behaviour) will be measured via actigraphy; dietary intake and context of eating by multiple 24-h recalls and wearable camera images; and eating behaviours via objective and subjective methods. At the end of each experimental week a feeding experiment will determine energy intake from eating in the absence of hunger. Differences between sleep conditions will be determined to estimate the effects of reducing sleep duration by 1-2 h per night. DISCUSSION: Determining how insufficient sleep predisposes children to weight gain should provide much-needed information for improving interventions for the effective prevention of obesity, thereby decreasing long-term morbidity and healthcare burden. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12618001671257 . Registered 10 October 2018.

Intermittent hypoxia in preterm infants: Measurement using the desaturation index.

OBJECTIVE: The aims of this study were to: (i) Determine in preterm infants at neonatal discharge the prevalence of intermittent hypoxia (IH), as measured by the oxygen desaturation index (DSI) recorded by pulse oximetry and (ii) Determine the change in values for very preterm infants at 1-month post discharge. METHODS: Preterm infants were recruited from the Wellington regional neonatal intensive care unit (NICU) and 24-h pulse oximetry recordings performed immediately before discharge. Infants born <32 weeks gestational age (GA) had repeat oximetry 1-month post discharge. Oxygenation measures included the 3% and 4% desaturation (DSI 3%, DSI 4%) indices. RESULTS: At discharge from the neonatal unit the median and interquartile range (IQR) for DSI 4% was 51 (31-74) events per hour with normal mean SpO2 (median of 97.9% [97.2-98.8 IQR]). Episodes of IH 1 month post discharge decreased with improvements of between 42% and 57% seen for the three DSI measures. Infants <32 weeks GA had higher median DSI 3 and 4% values at discharge but differences when compared with late preterm infants were not significant. CONCLUSIONS: Preterm infants have frequent episodes of IH as measured by the 3% and 4% DSI when deemed otherwise ready for discharge home. Further research in a larger cohort of very preterm infants and also in term infants is needed to determine the significance of this finding.

Comparison of 12-hour and 24-hour oximetry recordings in preterm infants.

AIM: To compare the overnight 12-hour oximetry component of 24-hour oximetry recordings with the complete 24-h recording in terms of cardiorespiratory status data in preterm infants. METHODS: Preterm infants from the Wellington neonatal intensive care unit underwent a 24-h pulse oximetry recording immediately prior to discharge home. Each recording was edited to resemble a 12-h overnight recording and compared to the full 24-h recording. Differences in a range of cardiorespiratory variables were assessed as to whether they were statistically significant and, if so, likely to be clinically significant. RESULTS: The nadirs for heart rate and SpO2 (both P < 0.001), the time spent <80% SpO2 (P = 0.017) and highest heart rate (P < 0.001) were significantly different between the two recordings. Only the heart rate nadir differed by more than 5%, suggesting that this may be of clinical significance (median (interquartile range) 54 (28-69) for 24-h recording vs. 78 (54-96) for 12-h recording). CONCLUSION: The 24-h oximetry reports were clinically similar to 12-h recordings for the majority of variables, and therefore, we suggest that 12-h oximetry studies are sufficient for determining cardiorespiratory status in infants.