Should paediatric chest compression depth targets consider body habitus? - A chest computed tomography imaging study.

AIM: This study explored how body habitus in the paediatric population might potentially affect the use of one-third external anterior-posterior (APD) diameter when compared to age-appropriate absolute chest compression depth targets. It also explored how body habitus could potentially affect the relationship between one-third external and internal APD (compressible space) and if body habitus indices were independent predictors of internal APD at the lower half of the sternum. METHODS: This was a secondary analysis of a retrospective study of chest computed tomography (CT) scans of infants and children (>24-hours-of-life to less-than-18-years-old) from 2005 to 2017. Patients' scan images were reviewed for internal and external APDs at the mid-point of the lower half of the sternum. Body habitus and epidemiological data were extracted from the electronic medical records. RESULTS: Chest CT scans of 193 infants and 398 children were evaluated. There was poor concordance between one-third external APD measurements and age-specific absolute chest compression depth targets, especially in infants and overweight/obese adolescents. There was a co-dependent relationship between one-third external APD and internal APD measurements. Overweight/obese children's and adolescents' internal and external APDs were significant different from the normal/underweight groups. Body-mass-index (BMI) of children and adolescents (p = 0.009), but not weight-for-length (WFL) of infants (p = 0.511), was an independent predictor of internal APD at the compression landmark. CONCLUSION: This study demonstrated correlations between external and internal APDs which were affected by BMI but not WFL (infants). Clinical studies are needed to validate current chest compression guidelines especially for infants and overweight/obese adolescents.(250 words).

Corrigendum to "Should paediatric chest compression depth targets consider body habitus? - A chest computed tomography imaging study" [Resuscitation Plus 9 (2022) 100202].

[This corrects the article DOI: 10.1016/j.resplu.2022.100202.].

What is the potential for over-compression using current paediatric chest compression guidelines? - A chest computed tomography study.

AIM: We explored the potential for over-compression from current paediatric chest compression depth guidelines using chest computed tomography(CT) images of a large, heterogenous, Asian population. METHODS: A retrospective review of consecutive children, less than 18-years old, with chest CT images performed between from 2005 to 2017 was done. Demographic data were extracted from the electronic medical records. Measurements for internal and external anterior-posterior diameters (APD) were taken at lower half of the sternum. Simulated chest compressions were performed to evaluate the proportion of the population with residual internal cavity dimensions less than 0 mm (RICD < 0 mm, representing definite over-compression; with chest compression depth exceeding internal APD), and RICD less than 10 mm (RICD < 10 mm, representing potential over-compression). RESULTS: 592 paediatric chest CT studies were included for the study. Simulated chest compressions of one-third external APD had the least potential for over-compression; no infants and 0.3% children had potential over-compression (RICD < 10 mm). 4 cm simulated chest compressions led to 18% (95% CI 13%-24%) of infants with potential over-compression, and this increased to 34% (95% CI 27%-41%) at 4.4 cm (upper limit of "approximately" 4 cm; 4 cm + 10%). 5 cm simulated compressions resulted in 8% (95% CI 4%-12%) of children 1 to 8-years-old with potential over-compression, and this increased to 22% (95% CI 16%-28%) at 5.5 cm (upper limit of "approximately" 5 cm, 5 cm + 10%). CONCLUSION: In settings whereby chest compression depths can be accurately measured, compressions at the current recommended chest compression of approximately 4 cm (in infants) and 5 cm (in young children) could result in potential for over-compression.

Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images.

BACKGROUND/AIMS: Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle-closure glaucoma. METHOD: In this study, we developed a deep convolutional neural network (DCNN) for the localisation of the scleral spur; moreover, we introduced an information-rich segmentation approach for this localisation problem. An ensemble of DCNNs for the segmentation of AS structures (iris, corneosclera shell adn anterior chamber) was developed. Based on the results of two previous processes, an algorithm to automatically quantify clinically important measurements were created. 200 images from 58 patients (100 eyes) were used for testing. RESULTS: With limited training data, the DCNN was able to detect the scleral spur on unseen anterior segment optical coherence tomography (ASOCT) images as accurately as an experienced ophthalmologist on the given test dataset and simultaneously isolated the AS structures with a Dice coefficient of 95.7%. We then automatically extracted eight clinically relevant ASOCT measurements and proposed an automated quality check process that asserts the reliability of these measurements. When combined with an OCT machine capable of imaging multiple radial sections, the algorithms can provide a more complete objective assessment. The total segmentation and measurement time for a single scan is less than 2 s. CONCLUSION: This is an essential step towards providing a robust automated framework for reliable quantification of ASOCT scans, for applications in the diagnosis and management of angle-closure glaucoma.

Antenatal sleep quality associated with perinatal outcomes in women of advanced maternal age.

OBJECTIVES: The increasing prevalence of advanced maternal age (AMA) coupled with poor sleep quality among pregnant women makes it important to study their association with perinatal outcomes. However, little is known about the interaction of AMA and maternal antenatal sleep on perinatal outcomes. Here, we examined whether associations between AMA and perinatal outcomes are modified by antenatal sleep quality. PARTICIPANTS: Data were collected from 446 women, with a singleton pregnancy and no pregnancy complications, who participated in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. MEASUREMENTS: Participants completed the Pittsburgh Sleep Quality Index (PSQI) at 26-28 weeks gestation and had perinatal outcome data collected upon delivery. Interactions between AMA and maternal sleep quality on perinatal outcomes were investigated and where significant, analyses were further stratified by maternal age. All analyses were adjusted for maternal BMI at 26-28 weeks gestation, ethnicity, and maternal education. RESULTS: Neonates of mothers of AMA and poor sleep quality (PSQI score >5) had increased odds of stay in the neonatal intensive care unit (adjusted odds ratio = 3.53, 95% CI: -1.21 to 10.27) and shorter birth length (adjusted mean difference = -1.05 cm, 95% CI: -1.82 to -0.20), as compared with women of AMA and good sleep quality (PSQI score ≤5). In women <35 years, sleep quality did not associate with perinatal outcomes. CONCLUSION: Poor sleep quality in women of AMA was associated with neonatal health outcomes. Improving maternal antenatal sleep may potentially improve perinatal outcomes in offspring of women of AMA.