Articles: child.
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Increasing evidence suggests an association between childhood obstructive sleep apnea (OSA) and metabolic syndrome, with more research available on the potential impacts of positive airway pressure (PAP) on metabolic markers in children. The purpose of this systematic review is to provide a systematic synthesis of the evidence on the effect of PAP use on metabolic markers in children with OSA. ⋯ Although evidence on effects of PAP on metabolic markers in children with OSA is encouraging, available literature is limited. Longitudinal studies are still required to further assess the long-term influence of PAP on metabolic and inflammatory markers, particularly in children with obesity.
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/Purpose: The Pediatric Eating Assessment Tool-10 (Pedi-EAT-10) is a caregiver-administrated subjective questionnaire for evaluating swallowing and feeding disorders among children. This study translated the Pedi-EAT-10 into Traditional Chinese and tested the translated version's reliability and validity. ⋯ The Traditional Chinese version of the Pedi-EAT-10 has fair reliability and validity and can be quickly and easily completed by caregivers. The translated Ped-EAT-10 can be used as a first-line tool for assessing the need for further referral and instrumental examination.
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Research into low-value routine testing at children's hospitals has not consistently evaluated changing patterns of testing over time. ⋯ Our study included 576,572 encounters for common, low-severity diagnoses. Individual hospital testing rates in each year of the study varied from 0.3 to 1.4 tests per patient day. The average yearly change in hospital-specific testing rates ranged from -6% to +7%. Four hospitals remained in the lowest quartile of testing and two in the highest quartile throughout all ten years of the study. We grouped hospitals with increasing (8), decreasing (n = 5), and unchanged (n = 15) testing rates. No difference was found across subgroups in costs, length of stay, 30-day ED revisit, or readmission rates. Comparing resource utilization trends over time provides important insights into achievable rates of testing reduction.