Pulse oximetry: A reliable and cost effective screening tool in children with pneumonia for developing countries.

The infant mortality rates are high in developing countries and, according to World Health Organisation (WHO), statistics show that the main contributors are acute respiratory infections and pneumonia. In children hypoxaemia is an ominous sign associated with respiratory tract infections. Hypoxia can be detected easily with pulse oximetry. It is a non-invasive, readily available and cost-effective way to identify hypoxaemia. If we identify hypoxaemia at the primary care level, especially in a low-income setting, we can make early referral to tertiary care settings. This will subsequently have a positive impact in saving lives. A detailed search of Medline database was conducted through PubMed from 1990 to date, to review the literature on the usefulness of pulse oximetry at primary care centres in developing countries. Such information will become vital in formulating guidelines for income-poor countries in order to stratify high-risk children with hypoxaemia.

Food for Thought: Machine Learning in Autism Spectrum Disorder Screening of Infants.

Diagnoses of autism spectrum disorders (ASD) are typically made after toddlerhood by examining behavioural patterns. Earlier identification of ASD enables earlier intervention and better outcomes. Machine learning provides a data-driven approach of diagnosing autism at an earlier age. This review aims to summarize recent studies and technologies utilizing machine learning based strategies to screen infants and children under the age of 18 months for ASD, and identify gaps that can be addressed in the future. We reviewed nine studies based on our search criteria, which includes primary studies and technologies conducted within the last 10 years that examine children with ASD or at high risk of ASD with a mean age of less than 18 months old. The studies must use machine learning analysis of behavioural features of ASD as major methodology. A total of nine studies were reviewed, of which the sensitivity ranges from 60.7% to 95.6%, the specificity ranges from 50% to 100%, and the accuracy ranges from 60.9% to 97.7%. Factors that contribute to the inconsistent findings include the varied presentation of ASD among patients and study design differences. Previous studies have shown moderate accuracy, sensitivity and specificity in the differentiation of ASD and non-ASD individuals under the age of 18 months. The application of machine learning and artificial intelligence in the screening of ASD in infants is still in its infancy, as observed by the granularity of data available for review. As such, much work needs to be done before the aforementioned technologies can be applied into clinical practice to facilitate early screening of ASD.

Paediatric-appropriate facilities in emergency departments of community hospitals in Ontario: A cross-sectional study.

BACKGROUND: We assessed whether the paediatric-appropriate facilities were available at Emergency Departments (ED) in community hospitals in a Canadian province. METHODS: We conducted a cross-sectional survey of EDs in community hospitals in Ontario, Canada that had inpatient paediatric facilities and a neonatal intensive care unit. Key informants were ED chiefs, clinical educators, or managers. The survey included questions about paediatric facilities related to environment, triage, training, and staff in EDs. RESULTS: Of 52 hospitals, 69% (n=36) responded to our survey. Of them, 14% EDs (n=5) had some separated spaces available for paediatric patients. About 53% (n=19) of EDs lacked children activities, e.g., toys. Only 11% (n=4) EDs were using paediatric triage scales and 42% (n=15) had a designated paediatric resuscitation bay. Only half of the ED (n=18) required from their staff to update paediatric life support training. Only 31% (n=11) had a designated liaison paediatrician for the ED. Paediatric social worker was present in only 8% (n=3) of EDs in community hospitals. CONCLUSION: Most of the Ontario community hospital EDs included in this survey had inadequate facilities for paediatric patients such as specific waiting and treatment areas.