In Argentina, there is no information on ages of attainment of developmental milestones and very few data about environmental factors that influence them. A national survey on the psychomotor development of children under 6 years of age was carried out with the help of 129 paediatricians. Logistic regression was applied to a final sample of 3573 healthy, normal children in order to estimate selected centiles (25th, 50th, 75th and 90th), together with their respective confidence intervals, of the ages of attainment of 78 developmental items belonging to the following areas: personal-social (18 items), fine motor (19), language (18) and gross motor (23). The 50th centile obtained for each of the 43 comparable items was compared with those obtained in previously standardised tests: DDST, Denver II, Bayley and Chilean scales. Neither significant nor systematic differences were found between our results and those described in the tests used for comparison. Multiple logistic regressions showed that social class, maternal education and sex (female) were associated with earlier attainment of some selected developmental items, achieved at ages later than 1 year. Selected items achieved before the first year of life were not affected by any of the independent environmental variables studied. The information is useful in helping paediatricians in their daily practice for surveillance of development, as baseline information for epidemiological studies on development in our country and for cross-cultural analysis.

There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitates this decision by combining all identified prediction algorithms pertinent for a particular prediction problem. SL generates a final model that is at least as good as any of the other models considered for predicting the outcome. The overarching aim of this work is to introduce SL to analysts and practitioners. This work compares the performance of logistic regression, penalized regression, random forests, deep learning neural networks, and SL to predict successful substance use disorders (SUD) treatment. A nationwide database including 99,013 SUD treatment patients was used. All algorithms were evaluated using the area under the receiver operating characteristic curve (AUC) in a test sample that was not included in the training sample used to fit the prediction models. AUC for the models ranged between 0.793 and 0.820. SL was superior to all but one of the algorithms compared. An explanation of SL steps is provided. SL is the first step in targeted learning, an analytic framework that yields double robust effect estimation and inference with fewer assumptions than the usual parametric methods. Different aspects of SL depending on the context, its function within the targeted learning framework, and the benefits of this methodology in the addiction field are discussed.

Renal disease is the most important long-term complication of hemolytic-uremic syndrome (HUS). A comparative study of renal function was carried out in two groups of patients. Group 1 included 19 children followed for a median of 11 years, 1960-1980, with a low-sodium diet, antihypertensive drugs, and a restricted protein intake in the end stage of renal disease. Group 2 included 26 children treated for a median of 9 years, 1988-2002, on a low-sodium diet, early restriction of protein intake according to recommendations, and angiotensin converting enzyme inhibitors (ACEi). Long-term renal function was assessed by the inverse of the plasma creatinine concentration (1/[Cr]) over time. Linear regression lines were fitted to individual values of 1/[Cr] for each child. Regression coefficients of children in group 1 were all negative, ranging from -0.031 to -0.00043; 7 were significantly different from zero, indicating a linear fall in renal function over time. In contrast, children from group 2 had 11 negative slopes (only 1 significant) and 15 positive slopes, ranging from 0.17893 to -0.3899. Fisher's exact test showed that group 1 had significantly more children with negative slopes than group 2. This comparatively better long-term outcome of renal function in children under contemporary treatment was probably associated with early restriction of protein and use of ACEi.

Growth is a discontinuous and irregular process, present not only in long bones but also in skull bones. Although long-term growth curves of head circumference and supine length are different, when measured on a daily basis findings suggest that skull and long bones have a common pattern; the physiological basis needs future research.

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Our findings support the concept of growth as a non-linear and irregular process with three phenomena: Stasis, steep changes and continuous growth present in all ages, including infancy, school age and adolescence.

A total of 211 selected paediatricians were invited to participate in a national survey designed to evaluate the age of attainment of developmental milestones in children aged 0-5 years. Following a pilot study and a cascade training design, 61.1% of the paediatricians successfully completed the data collection on 139 developmental items. In the pilot study, there were more missing (not performed) items in children over one year of age, thus confirming the impression that paediatricians are more familiar with evaluating development in infants. However, in the age range 1-5 years, there were significantly fewer missing items in the gross motor area than in the other areas. Following a training programme and data editing and cleaning, a final sample of 3573 healthy, normal children was obtained. The impact of the training process was significant, in the sense that 3.5% of the items in children older than one year were not performed by the paediatricians before training, but this percentage was reduced to 1.9% after training (P < 0.01). The sample formed 0.11% of the national population less than 6 years of age and included a sex ratio of 1.01 compared with a national ratio of 1.02. There were no significant differences in the geographical distribution of the sample in comparison with that of the national population. The social composition, assessed by maternal education level, was biased towards a better education level than the national population. Mean Z-scores for height and weight were not significantly different from zero, when calculated on the basis of the national growth standards. In addition to successfully obtaining a representative sample for the analysis of the age of attainment of developmental milestones in Argentinian children, the survey also accomplished an educational objective in the training of paediatricians in developmental paediatrics.

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