Infant feeding experiences among Indigenous communities in Canada, the United States, Australia, and Aotearoa: a scoping review of the qualitative literature.

BACKGROUND: Although exclusive breastfeeding is recommended for the first six months of life, research suggests that breastfeeding initiation rates and duration among Indigenous communities differ from this recommendation. Qualitative studies point to a variety of factors influencing infant feeding decisions; however, there has been no collective review of this literature published to date. Therefore, the objective of this scoping review was to identify and summarize the qualitative literature regarding Indigenous infant feeding experiences within Canada, the United States, Australia, and Aotearoa. METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses- Scoping Reviews and the Joanna Briggs Institute Guidelines, in October 2020, Medline, Embase, CINAHL, PsycINFO, and Scopus were searched for relevant papers focusing on Indigenous infant feeding experiences. Screening and full-text review was completed by two independent reviewers. A grey literature search was also conducted using country-specific Google searches and targeted website searching. The protocol is registered with the Open Science Framework and published in BMJ Open. RESULTS: Forty-six papers from the five databases and grey literature searches were included in the final review and extraction. There were 18 papers from Canada, 11 papers in the US, 9 studies in Australia and 8 studies conducted in Aotearoa. We identified the following themes describing infant feeding experiences through qualitative analysis: colonization, culture and traditionality, social perceptions, family, professional influences, environment, cultural safety, survivance, establishing breastfeeding, autonomy, infant feeding knowledge, and milk substitutes, with family and culture having the most influence on infant feeding experiences based on frequency of themes. CONCLUSIONS: This review highlights key influencers of Indigenous caregivers' infant feeding experiences, which are often situated within complex social and environmental contexts with the role of family and culture as essential in supporting caregivers. There is a need for long-term follow-up studies that partner with communities to support sustainable policy and program changes that support infant and maternal health.

Innominate artery occlusion: a case study.

Aim of the study: The aim of this case report is to evaluate carotid duplex and hemodynamic patterns in an asymptomatic male patient with innominate artery occlusion. Innominate artery occlusion is a rare clinical entity that can lead to a range of cerebrovascular symptoms, including arm claudication, subclavian steal syndrome, and stroke. The case report emphasizes key learning points in diagnosing innominate artery occlusion using imaging and physiological methods. Case description: A 64-year-old asymptomatic male patient with a history of carotid bruit, hypertension, coronary artery bypass grafting, aortic aneurysm, hyperlipidemia, mild aortic stenosis, long-term tobacco use, and a body mass index of 24 was referred for a carotid ultrasound. Conclusions: Innominate artery occlusion is a rare condition requiring a comprehensive assessment of collateralization before any intervention is attempted. Considering waveform features such as transient end-diastolic flow reversal and tardus parvus, along with brachial pressures and transcranial Doppler, can assist in evaluating the extent of disease.

A Systematic Review and Quality Assessment of Breast Cancer Clinical Practice Guidelines Providing Complementary and Alternative Medicine Recommendations.

PURPOSE OF REVIEW: Up to 80% of patients with breast cancer are reported to use complementary and alternative medicine (CAM). Despite this high prevalence, many healthcare providers have little knowledge and education surrounding this topic and may be inadequately prepared to discuss such therapies with their patients. Given this knowledge gap, the purpose of this study was to systematically identify the quantity and assess the quality of CAM recommendations in clinical practice guidelines (CPGs) for the treatment and/or management of breast cancer. RECENT FINDINGS: Thirty-four CPGs were deemed eligible, 5 of which mentioned CAM, and 4 of which made CAM recommendations. Eligible CPGs containing CAM recommendations were assessed with the AGREE II instrument. Scaled domain percentages from highest to lowest were (% overall, % CAM) as follows: scope and purpose (100.0%, 100.0%), editorial independence (100.0%, 100.0%), clarity of presentation (97.2%, 80.6%), rigour of development (80.2%, 80.2%), stakeholder involvement (88.9%, 77.8%), and applicability (58.3%, 58.3%). CPGs with favourable scores may provide practitioners with guidance on safe and effective use of CAM therapies. A need exists to improve the quality of CAM recommendations in CPGs.

Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning.

Background and Rational: Obstructive Sleep Apnea (OSA) is a common disorder, affecting almost 10% of adults, but very underdiagnosed. This is largely due to limited access to overnight sleep testing using polysomnography (PSG). Our goal was to distinguish OSA from healthy individual using a simple maneuver during wakefulness in combination with machine learning methods. Methods: Participants have undergone an overnight PSG to determine their ground truth OSA severity. Separately, they were asked to breathe through a nasal mask or a mouth piece through which negative pressure (NP) was applied, during wakefulness. Airflow waveforms were acquired and several features were extracted and used to train various classifiers to predict OSA. Results and Discussion: The performance of each classifier and experimental setup was calculated. The best results were obtained using Random Forest classifier for distinguishing OSA from healthy individuals with a very good area under the curve of 0.80. To the best of our knowledge, this is the first study to deploy machine learning and NP with promising path to diagnose OSA during wakefulness.