The effect of systematic pediatric care on neonatal mortality and hospitalizations of infants born with oral clefts

<p>Abstract</p> <p>Background</p> <p>Cleft lip and/or palate (CL/P) increase mortality and morbidity risks for affected infants especially in less developed countries. This study aimed at assessing the effects of systematic pediatric care on neonatal mortality and hospitalizations of infants with cleft lip and/or palate (CL/P) in South America.</p> <p>Methods</p> <p>The intervention group included live-born infants with isolated or associated CL/P in 47 hospitals between 2003 and 2005. The control group included live-born infants with CL/P between 2001 and 2002 in the same hospitals. The intervention group received systematic pediatric care between the 7^thand 28^thday of life. The primary outcomes were mortality between the 7^thand 28^thday of life and hospitalization days in this period among survivors adjusted for relevant baseline covariates.</p> <p>Results</p> <p>There were no significant mortality differences between the intervention and control groups. However, surviving infants with associated CL/P in the intervention group had fewer hospitalization days by about six days compared to the associated control group.</p> <p>Conclusions</p> <p>Early systematic pediatric care may significantly reduce neonatal hospitalizations of infants with CL/P and additional birth defects in South America. Given the large healthcare and financial burden of CL/P on affected families and the relatively low cost of systematic pediatric care, improving access to such care may be a cost-effective public policy intervention.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00097149">NCT00097149</a></p

Academic Performance of Students with Emotional and Behavioral Disorders Served in a Self-Contained Setting

This study describes the academic, social, and behavioral performance of elementary and secondary students with emotional and behavioral disorders (EBD) receiving services in a self-contained school for students with serious behavior problems, with an emphasis on how school adjustment and problem behavior patterns predict academic performance. Results revealed that elementary and secondary group scores were well below the 25th percentile on reading, math, and written expression measures. Further, a seven variable model representing academic, social, and behavioral domains was able to differentiate between age groups explaining 54% of the variance and correctly classifying 78.26% (n = 18) of the elementary students and 84.21% (n = 16) of the secondary students. Findings also suggested that behavioral variables (e.g., school adjustment, externalizing, and internalizing) were predictive of broad reading and broad written expression scores, with school adjustment (a protective factor) accounting for the most variance in the three-variable model. Limitations and recommendations for future research are addressed

Ecology and thermal inactivation of microbes in and on interplanetary space vehicle components

Dry heat sterilization of spacecraft was investigated by studying the production of spore crops, and thermal inactivation of the spores, and bacillus subtillus. Spore assays were made by conventional plate count methods, and survival curves for the spores are presented. The results indicate that the inherent resistance of spores from a parent cell can be maintained

Ecology and thermal inactivation of microbes in and on interplanetary space vehicle components

Experiments performed on the heat resistant organism CK 4-6 are described. Its response to dry heat at two temperatures (125 C and 135 C) at eight humidity levels (0.001 percent to 100 percent RH) in a closed can system is studied

Hospital care of children with a cleft in England.

OBJECTIVE: To analyse hospital admissions in the first 2 years of life among children with cleft lip and/or palate in England. DESIGN: Analysis of national administrative data of hospital admissions. SETTING: National Health Service hospitals. PATIENTS: Patients born alive between 1997 and 2008 who underwent surgical cleft repair. OUTCOME MEASURES: Number of admissions, including the birth episode, and days spent in hospital were examined. Children were analysed according to cleft type and whether or not they had additional congenital anomalies. RESULTS: 10 892 children were included. In their first 2 years, children without additional anomalies (n=8482) had on average 3.2 admissions and 13.2 days in hospital, which varied from 2.6 admissions and 9.2 days with cleft lip to 4.7 admissions and 19.7 days with bilateral cleft lip and palate (BCLP). Children with additional anomalies (n=2410) had on average 6.7 admissions and 51.4 days in hospital, which varied from 6.4 admissions and 48.5 days with cleft palate to 8.8 admissions and 67.5 days with BCLP. The mean number and duration of cleft-related admissions was similar in children without (1.6 admissions and 6.4 days) and in those with additional anomalies (1.5 admissions and 8.5 days). 35.2% of children without additional anomalies had at least one emergency admission, whereas the corresponding figure was 67.3% with additional anomalies. CONCLUSIONS: The burden of hospital care in the first 2 years of life varied according to cleft type and presence of additional anomalies. However, cleft-specific hospital care did not differ between children with and without additional anomalies

Dental anomaly detection using intraoral photos via deep learning

Children with orofacial clefting (OFC) present with a wide range of dental anomalies. Identifying these anomalies is vital to understand their etiology and to discern the complex phenotypic spectrum of OFC. Such anomalies are currently identified using intra-oral exams by dentists, a costly and time-consuming process. We claim that automating the process of anomaly detection using deep neural networks (DNNs) could increase efficiency and provide reliable anomaly detection while potentially increasing the speed of research discovery. This study characterizes the use of` DNNs to identify dental anomalies by training a DNN model using intraoral photographs from the largest international cohort to date of children with nonsyndromic OFC and controls (OFC1). In this project, the intraoral images were submitted to a Convolutional Neural Network model to perform multi-label multi-class classification of 10 dental anomalies. The network predicts whether an individual exhibits any of the 10 anomalies and can do so significantly faster than a human rater can. For all but three anomalies, F1 scores suggest that our model performs competitively at anomaly detection when compared to a dentist with 8 years of clinical experience. In addition, we use saliency maps to provide a post-hoc interpretation for our model’s predictions. This enables dentists to examine and verify our model’s predictions.Fil: Ragodos, Ronilo. University of Iowa; Estados UnidosFil: Wang, Tong. University of Iowa; Estados UnidosFil: Padilla, Carmencita. University of the Philippines; FilipinasFil: Hecht, Jacqueline T.. University of Texas Health Science Center at Houston; Estados UnidosFil: Poletta, Fernando Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET; ArgentinaFil: Orioli, Ieda Maria. Universidade Federal do Rio de Janeiro; BrasilFil: Buxó, Carmen J.. Universidad de Puerto Rico; Puerto RicoFil: Butali, Azeez. University of Iowa; Estados UnidosFil: Valencia Ramirez, Consuelo. Fundación Clínica Noel; ColombiaFil: Restrepo Muñeton, Claudia. Fundación Clínica Noel; ColombiaFil: Wehby, George. University of Iowa; Estados UnidosFil: Weinberg, Seth M.. University of Pittsburgh; Estados Unidos. University of Pittsburgh at Johnstown; Estados UnidosFil: Marazita, Mary L.. University of Pittsburgh at Johnstown; Estados Unidos. University of Pittsburgh; Estados UnidosFil: Moreno Uribe, Lina M.. University of Iowa; Estados UnidosFil: Howe, Brian J.. University of Iowa; Estados Unido

Changes in socioeconomic inequality in Indonesian children's cognitive function from 2000 to 2007: a decomposition analysis

Background: Measuring social inequalities in health is common; however, research examining inequalities in child cognitive function is more limited. We investigated household expenditure-related inequality in children’s cognitive function in Indonesia in 2000 and 2007, the contributors to inequality in both time periods, and changes in the contributors to cognitive function inequalities between the periods. Methods: Data from the 2000 and 2007 round of the Indonesian Family Life Survey (IFLS) were used. Study participants were children aged 7–14 years (n = 6179 and n = 6680 in 2000 and 2007, respectively). The relative concentration index (RCI) was used to measure the magnitude of inequality. Contribution of various contributors to inequality was estimated by decomposing the concentration index in 2000 and 2007. Oaxaca-type decomposition was used to estimate changes in contributors to inequality between 2000 and 2007. Results: Expenditure inequality decreased by 45% from an RCI = 0.29 (95% CI 0.22 to 0.36) in 2000 to 0.16 (95% CI 0.13 to 0.20) in 2007 but the burden of poorer cognitive function was higher among the disadvantaged in both years. The largest contributors to inequality in child cognitive function were inequalities in per capita expenditure, use of improved sanitation and maternal high school attendance. Changes in maternal high school participation (27%), use of improved sanitation (25%) and per capita expenditures (18%) were largely responsible for the decreasing inequality in children’s cognitive function between 2000 and 2007. Conclusions: Government policy to increase basic education coverage for women along with economic growth may have influenced gains in children’s cognitive function and reductions in inequalities in Indonesia.Amelia Maika, Murthy N. Mittinty, Sally Brinkman, Sam Harper, Elan Satriawan, John W. Lync

Coaching Models of School-Based Prevention and Promotion Programmes: A Qualitative Exploration of UK Teachers' Perceptions

There has been increased interest in recent years regarding the utility of imported universal prevention and promotion (P&P) programmes in UK schools, many of which have a coaching model attached. However, there have been relatively few studies exploring the cultural transferability and social validity of these models, even though evidence suggests that these factors are important to the successful implementation of the programmes, and thus the achievement of the intended outcomes. The aim of the current study was to explore the coaching practices that teachers report experiencing, and to further understanding of the perceived benefts of these coaching practices to teachers. The sample consisted of 33 teachers implementing one of two universal, school-based P&P programmes, Good Behavior Game and Promoting Alternative Thinking Strategies as part of large-scale, randomised controlled trials. Qualitative, semi-structured interviews were conducted, and data were analysed thematically utilising a hybrid approach. Teachers typically reported engaging in six distinct practices with their coaches. While the majority of these practices were in line with coaching literature, there were some discrepancies between intended coaching practices and teachers’ reports. The coaching practices were generally perceived to be acceptable to teachers. Two unanticipated practices, validation and motivation, appeared to be of particular value to teachers, although these are not currently a prominent feature in existing coaching models. The fndings provide implications for improving the development of socially valid coaching models for UK schools