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2 result(s) for "Valdebenito, Susana"
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Incidence of Congenital Hypothyroidism Is Increasing in Chile
Congenital hypothyroidism (CH) is a leading preventable cause of neurocognitive impairment. Its incidence appears to be rising in several countries. We analysed 27 years of newborn-screening data (1997–2023) from the largest Chilean screening centre, covering 3,225,216 newborns (51.1% of national births), to characterise temporal trends and potential drivers of CH incidence. Annual CH incidence was modelled with Prais–Winsten regression to correct for first-order autocorrelation; additional models assessed trends in gestational age, sex, biochemical markers, and aetiological subtypes. We identified 1550 CH cases, giving a mean incidence of 4.9 per 10,000 live births and a significant yearly increase of 0.067 per 10,000 (95 % CI 0.037–0.098; p < 0.001). Mild cases (confirmation TSH < 20 mU/L) rose (+0.89 percentage points per year; p = 0.002). The program’s recall was low (0.05%). Over time, screening and diagnostic TSH values declined, total and free T4 concentrations rose, gestational age at diagnosis fell, and a shift from thyroid ectopy toward hypoplasia emerged; no regional differences were detected. The sustained increase in CH incidence, alongside falling TSH thresholds and growing detection of in situ glands, suggests enhanced recognition of milder disease. Ongoing surveillance should integrate environmental, iodine-nutrition, and genetic factors to clarify the causes of this trend.
A REVIEW OF THE MOST COMMON PARTITION ALGORITHMS IN CLUSTER ANALYSIS: A COMPARATIVE STUDY
This study is oriented to compare several partition methods in the context of cluster analysis, which are also called non hierarchical methods. In this work, a simulation study is performed to compare the results obtained from the implementation of the algorithms k-means, k-medians, PAM and CLARA when continuous multivariate information is available. Additionally, a study of simulation is presented to compare partition algorithms qualitative information, comparing the efficiency of the PAM and k-modes algorithms. The efficiency of the algorithms is compared using the Adjusted Rand Index and the correct classification rate. Finally, the algorithms are applied to real databases with predefined classes.