Estimation of the incidence of a rare genetic disease through a two-tier mutation survey.

Recent attempts to detect mutations involving single base changes or small deletions that are specific to genetic diseases provide an opportunity to develop a two-tier mutation-screening program through which incidence of rare genetic disorders and gene carriers may be precisely estimated. A two-tier survey consists of mutation screening in a sample of patients with specific genetic disorders and in a second sample of newborns from the same population in which mutation frequency is evaluated. We provide the statistical basis for evaluating the incidence of affected and gene carriers in such two-tier mutation-screening surveys, from which the precision of the estimates is derived. Sample-size requirements of such two-tier mutation-screening surveys are evaluated. Considering examples of cystic fibrosis (CF) and medium-chain acyl-CoA dehydrogenase deficiency (MCAD), the two most frequent autosomal recessive disease in Caucasian populations and the two most frequent mutations (delta F508 and G985) that occur on these disease allele-bearing chromosomes, we show that, with 50-100 patients and a 20-fold larger sample of newborns screened for these mutations, the incidence of such diseases and their gene carriers in a population may be quite reliably estimated. The theory developed here is also applicable to rare autosomal dominant diseases for which disease-specific mutations are found.

Anal warts and their predictors among HIV-infected women

Human papillomavirus (HPV) is a necessary cause of cervical cancer and is also strongly associated with anal cancer. While different factors such as CD4+ cell count, HIV RNA viral load, smoking status, and cytological screening results have been identified as risk factors for the infection of HPV high-risk types and associated cancers, much less is known about the association between those risk factors and the infection of HPV low-risk types and anogential warts. In this dissertation, a public dataset (release P09) obtained from the Women's Interagency HIV Study (WIHS) was used to examine the effects of those risk factors on the size of the largest anal warts in HIV-infected women in the United States. Linear mixed modeling was used to address this research question. ^ The prevalence of anal warts at baseline for WIHS participants was higher than other populations. Incidence of anal warts in HIV-infected women was significantly higher than that of HIV-uninfected women [4.15 cases per 100 person-years (95% CI: 3.83–4.77) vs. 1.30 cases per 100 person-years (95% CI: 1.00–1.58), respectively]. There appeared to be an inverse association between the size of the largest anal wart and CD4+ cell count at baseline visit, however it was not statistically significant. There was no association between size of the largest anal wart and CD4+ cell count or HIV RNA viral load over time among HIV-infected women. There was also no association between the size of the largest anal wart and current smoking over time in HIV-infected women, even though smokers had larger warts at baseline than non-smokers. Finally, even though a woman with Pap smear results of ASCUS/LGSIL was found to have an anal wart larger than a woman with normal cervical Pap smear results the relationship between the size of the largest anal wart with cervical Pap smear results over time remains unclear. ^ Although the associations between these risk factors and the size of the largest anal wart over time in HIV-infected women could not be firmly established, this dissertation poses several questions concerning anal wart development for further exploration: (1) the role of immune function (i.e., CD4+ cell count), (2) the role of smoking status and the interaction between smoking status with other risk factors (e.g., CD4+ cell count or HIV RNA viral load), (3) the molecular mechanism of smoking on anal warts over time, (4) the potential for development of a screening program using anal Pap smear in HIV-infected women, and (5) how cost-effective and efficacious would an anal Pap smear screening program be in this high-risk population. ^

Sistemas de ayuda al diagnóstico y reconocimiento de microcalcificaciones en mamografía mediante descriptores de escala y redes jerárquicas

La presente Tesis investiga el campo del reconocimiento automático de imágenes mediante ordenador aplicado al análisis de imágenes médicas en mamografía digital. Hay un interés por desarrollar sistemas de aprendizaje que asistan a los radiólogos en el reconocimiento de las microcalcificaciones para apoyarles en los programas de cribado y prevención del cáncer de mama. Para ello el análisis de las microcalcificaciones se ha revelado como técnica clave de diagnóstico precoz, pero sin embargo el diseño de sistemas automáticos para reconocerlas es complejo por la variabilidad y condiciones de las imágenes mamográficas. En este trabajo se analizan los planteamientos teóricos de diseño de sistemas de reconocimiento de imágenes, con énfasis en los problemas específicos de detección y clasificación de microcalcificaciones. Se ha realizado un estudio que incluye desde las técnicas de operadores morfológicos, redes neuronales, máquinas de vectores soporte, hasta las más recientes de aprendizaje profundo mediante redes neuronales convolucionales, contemplando la importancia de los conceptos de escala y jerarquía a la hora del diseño y sus implicaciones en la búsqueda de la arquitectura de conexiones y capas de la red. Con estos fundamentos teóricos y elementos de diseño procedentes de otros trabajos en este área realizados por el autor, se implementan tres sistemas de reconocimiento de mamografías que reflejan una evolución tecnológica, culminando en un sistema basado en Redes Neuronales Convolucionales (CNN) cuya arquitectura se diseña gracias al análisis teórico anterior y a los resultados prácticos de análisis de escalas llevados a cabo en nuestra base de datos de imágenes. Los tres sistemas se entrenan y validan con la base de datos de mamografías DDSM, con un total de 100 muestras de entrenamiento y 100 de prueba escogidas para evitar sesgos y reflejar fielmente un programa de cribado. La validez de las CNN para el problema que nos ocupa queda demostrada y se propone un camino de investigación para el diseño de su arquitectura. ABSTRACT This Dissertation investigates the field of computer image recognition applied to medical imaging in mammography. There is an interest in developing learning systems to assist radiologists in recognition of microcalcifications to help them in screening programs for prevention of breast cancer. Analysis of microcalcifications has emerged as a key technique for early diagnosis of breast cancer, but the design of automatic systems to recognize them is complicated by the variability and conditions of mammographic images. In this Thesis the theoretical approaches to design image recognition systems are discussed, with emphasis on the specific problems of detection and classification of microcalcifications. Our study includes techniques ranging from morphological operators, neural networks and support vector machines, to the most recent deep convolutional neural networks. We deal with learning theory by analyzing the importance of the concepts of scale and hierarchy at the design stage and its implications in the search for the architecture of connections and network layers. With these theoretical facts and design elements coming from other works in this area done by the author, three mammogram recognition systems which reflect technological developments are implemented, culminating in a system based on Convolutional Neural Networks (CNN), whose architecture is designed thanks to the previously mentioned theoretical study and practical results of analysis conducted on scales in our image database. All three systems are trained and validated against the DDSM mammographic database, with a total of 100 training samples and 100 test samples chosen to avoid bias and stand for a real screening program. The validity of the CNN approach to the problem is demonstrated and a research way to help in designing the architecture of these networks is proposed.

Otimização dos valores de referência da 17OH-progesterona neonatal de acordo com o peso ao nascimento no programa de triagem neonatal da APAE DE SÃO PAULO

Introdução: A Hiperplasia Adrenal Congênita por deficiência da 21-hidroxilase (HAC) é uma doença com mortalidade neonatal elevada sendo elegível para programas públicos de Triagem Neonatal (TN). A HAC é causada por mutações no gene CYP21A2, as quais acarretam diferentes comprometimentos da atividade enzimática e resultam em espectro amplo de manifestações clínicas. Apesar da eficiência da TN para diagnosticar os casos graves, a taxa elevada de resultados falso-positivos (RFP), principalmente relacionados à prematuridade, é um dos maiores problemas. Porém, resultados falso-negativos também podem ocorrer em coletas antes de 24 horas de vida. No Brasil, a coleta da amostra neonatal difere entre os municípios, podendo ser no terceiro dia de vida como após. Objetivo: Avaliar se os valores da 17OH-progesterona neonatal (N17OHP) das coletas no terceiro dia de vida diferem significativamente das coletas a partir do quarto dia. Determinar qual percentil (99,5 ou 99,8) pode ser utilizado como valor de corte para a N17OHP, de acordo com o peso ao nascimento e tempo de vida na coleta, a fim de que proporcione taxa menor de RFP. Métodos: Foi avaliada, retrospectivamente, a N17OHP de 271.810 recém-nascidos (Rns) de acordo com o tempo de vida na coleta (G1: 48 - = 72h) e peso ao nascimento (P1: <= 1.500g, P2: 1.501-2.000g, P3: 2.001-2.500g e P4: >= 2.500g), pelo método imunofluorimétrico. Testes com resultados alterados foram confirmados no soro por Espectrometria de Massas em Tandem - LC-MS/MS. Rns afetados e/ou assintomáticos e com valores persistentemente elevados de 17OHP sérica foram submetidos ao estudo molécular, sequenciamento do gene CYP21A2. Resultados: os valores da N17OHP no grupo G1 foram significativamente menores do que em G2 em todos os grupos de peso (p < 0.001). A taxa de RFP em G1 e G2 foi de 0,2% para o percentil 99,8 e de 0,5% para o percentil 99,5 em ambos os grupos. O percentil 99,8 da N17OHP foi o melhor valor de corte para distinguir os Rns não afetados dos afetados, cujos valores são: G1 (P1: 120; P2: 71; P3: 39 e P4: 20 ng /mL) e em G2 (P1: 173; P2: 90; P3: 66 e P4: 25 ng/mL). Vinte e seis Rns do grupo G1 apresentaram a forma perdedora de sal (PS) (13H e 13M), nestes a N17OHP variou de 31 a 524 ng/mL e vinte Rns no grupo G2 (8H e 12M), nestes a N17OHP variou de 53 a 736 ng/mL. Para ambos os grupos foram encontrados três Rns com a forma virilizante simples (1H e 2M) e os valores da N17OHP variaram de 36 a 51 ng/mL. Resultados falso-negativos não foram relatados. O valor preditivo positivo (VPP) no teste do papel filtro foi de 5,6% e 14,1% nos grupos G1 e G2, respectivamente, ao se utilizar o percentil 99,8, e de 2,3% e 7% nos grupos G1 e G2 ao se utilizar o percentil 99,5. Dentre os casos com TN alterada (RFP), 29 deles também apresentaram 17OHP sérica elevada quando dosada por LC-MS/MS. Os casos assintomáticos foram acompanhados até normalização da 17OHP sérica e/ou submetidos ao estudo molecular, que identificou dois Rns com genótipo que prediz a forma não clássica. Conclusão: a melhor estratégia para otimização do diagnóstico da HAC na triagem neonatal é se padronizar valores de corte da N17OHP em dois grupos de acordo com o tempo de vida na coleta (antes e depois de 72 horas), subdivididos em quatro grupos de peso. A utilização dos valores de corte do percentil 99,8 se mantém eficaz no diagnóstico da HAC-21OH na triagem neonatal, reduzindo de forma significativa a taxa de RFP, sem perda do diagnóstico da forma PS

Sépsis neonatal com meningite a streptococcus do grupo B na era do rastreio e da quimioprofilaxia : a propósito de um caso clínico

Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014

Mapping the emergence of heart disease in a black, urban population in Africa: The Heart of Soweto Study

Background: There is increasing evidence that many populations in the developing world are in epidemiologic transition with the subsequent emergence of more affluent disease states. The Heart of Soweto Study will systematically investigate the emergence of heart disease (HD) in a large urban population in South Africa. Methods: Part of the conurbation of Johannesburg, South Africa, Soweto is a predominantly Black African community of I million individuals. During an initial two year period, all individuals presenting to the local Baragwanath Hospital (3500 beds) with any form of HD will be studied. Demographic and diagnostic coding data in those with pre-established HD will form an abbreviated clinical registry of > 12,000 prevalent cases. Similarly, socio-demographic, clinical and diagnostic data (e.g. echocardiography and ECG) in newly diagnosed patients will form a more detailed clinical registry of > 5000 incident cases. Sub-studies of the relationship between HIV status and H D and the optimal management of chronic heart failure will also be performed. Results: These data will provide a unique insight into the causes and consequences of a broad spectrum of HD-related conditions in a developing world community in epidemiologic transition. Initially documented Population rates, in addition to detailed examinations of the underlying risk factors and causes of HD-related morbidity/mortality will provide an important platform for future stages of the study: a community-based, population screening program and culturally specific primary and secondary programs of care. Conclusion: There is an urgent need to systematically track the emergence of HD in the developing world. Initially involving more than 15,000 individuals, the unique Heart of Soweto Study has the potential to provide a wealth of information in this regard. (c) 2006 Elsevier Ireland Ltd. All rights reserved.

Cervical cancer precursors and hormonal contraceptive use in HIV-positive women: application of a causal model and semi-parametric estimation methods.

OBJECTIVE: To demonstrate the application of causal inference methods to observational data in the obstetrics and gynecology field, particularly causal modeling and semi-parametric estimation. BACKGROUND: Human immunodeficiency virus (HIV)-positive women are at increased risk for cervical cancer and its treatable precursors. Determining whether potential risk factors such as hormonal contraception are true causes is critical for informing public health strategies as longevity increases among HIV-positive women in developing countries. METHODS: We developed a causal model of the factors related to combined oral contraceptive (COC) use and cervical intraepithelial neoplasia 2 or greater (CIN2+) and modified the model to fit the observed data, drawn from women in a cervical cancer screening program at HIV clinics in Kenya. Assumptions required for substantiation of a causal relationship were assessed. We estimated the population-level association using semi-parametric methods: g-computation, inverse probability of treatment weighting, and targeted maximum likelihood estimation. RESULTS: We identified 2 plausible causal paths from COC use to CIN2+: via HPV infection and via increased disease progression. Study data enabled estimation of the latter only with strong assumptions of no unmeasured confounding. Of 2,519 women under 50 screened per protocol, 219 (8.7%) were diagnosed with CIN2+. Marginal modeling suggested a 2.9% (95% confidence interval 0.1%, 6.9%) increase in prevalence of CIN2+ if all women under 50 were exposed to COC; the significance of this association was sensitive to method of estimation and exposure misclassification. CONCLUSION: Use of causal modeling enabled clear representation of the causal relationship of interest and the assumptions required to estimate that relationship from the observed data. Semi-parametric estimation methods provided flexibility and reduced reliance on correct model form. Although selected results suggest an increased prevalence of CIN2+ associated with COC, evidence is insufficient to conclude causality. Priority areas for future studies to better satisfy causal criteria are identified.

A study of asymptomatic bacteriuria in Egyptian school-going children.

Background: Urinary tract infections (UTI) are a common and important clinical problem in childhood. Upper urinary tract infections (i.e., acute pyelonephritis) may lead to renal scarring, hypertension, and end-stage renal disease. Despite the presence of simple and reliable methods of preliminary screening of children's urine, urinary tract infection continues to be under diagnosed. Objectives: The aim of this study was to establish prevalence rates of significant bacteriuria in asymptomatic school children by simple urine tests in comparison to standard urine culture techniques in Giza, Egypt. Patients and methods: A total of 1000 apparently healthy school going children (6-12) years, 552 boys (55.2%) and 448 girls (44.8%), were enrolled in this cross-sectional prevalence survey. Results: Overall prevalence of significant bacteriuria was 6%. Higher prevalence occurred in girls (11.4%) than boys (1.6%). Escherichia coli was isolated in 35(58%) cases (3 boys and 32 girls), Staph. aureus in 13 (22%) cases (3 boys and 10 girls), Enterobacter in 6 girls (10%), Kelbsiella pneumoniae in 3 boys (5%) and Proteus vulgaris in 3 girls (5%) Conclusion: Asymptomatic bacteriurea could be detected by urine screening program at school age. Overall prevalence of significant bacteriuria was 6%, with predominance in girls than boys.

Rastreio neonatal da galactosémia custo/beneficio da introdução no programa nacional de diagnóstico precoce

Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014

CALR mutation profile in Irish patients with myeloproliferative neoplasms

Insertion and/or deletion mutations of the CALR gene have recently been demonstrated to be the second most common driver mutations in the myeloproliferative neoplasms (MPNs) of essential thrombocythemia (ET) and primary myelofibrosis (PMF). Given the diagnostic and emerging prognostic significance of these mutations, in addition to the geographical heterogeneity reported, the incidence of CALR mutations was determined in an Irish cohort of patients with MPNs with a view to incorporate this analysis into a prospective screening program. A series of 202 patients with known or suspected ET and PMF were screened for the presence of CALR mutations. CALR mutations were detected in 58 patients. Type 1 and Type 1-like deletion mutations were the most common (n = 40) followed by Type 2 and Type 2-like insertion mutations (n = 17). The CALR mutation profile in Irish ET and PMF patients appears similar to that in other European populations. Establishment of this mutational profile allows the introduction of a rational, molecular diagnostic algorithm in cases of suspected ET and PMF that will improve clinical management.

Insights into (S)-rivastigmine inhibition of butyrylcholinesterase (BuChE): Molecular docking and saturation transfer difference NMR (STD-NMR)

Rivastigmine is a very important drug prescribed for the treatment of Alzheimer's disease (AD) symptoms. It is a dual inhibitor, in that it inhibits both acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE). For our screening program on the discovery of new rivastigmine analogue hits for human butyrylcholinesterase (hBuChE) inhibition, we investigated the interaction of this inhibitor with BuChE using the complimentary approach of the biophysical method, saturation transfer difference (STD)-NMR and molecular docking. This allowed us to obtain essential information on the key binding interactions between the inhibitor and the enzyme to be used for screening of hit compounds. The main conclusions obtained from this integrated study was that the most dominant interactions were (a) H-bonding between the carbamate carbonyl of the inhibitor and the NH group of the imidazole unit of H434, (b) stacking of the aromatic unit of the inhibitor and the W82 aromatic unit in the choline binding pocket via pi-pi interactions and (c) possible CH/pi interactions between the benzylic methyl group and the N-methyl groups of the inhibitor and W82 of the enzyme.

Screening for success in a visual arts program.

Abstract: Little research has been directed towards determining means of predicting success in visual arts programs. Therefore, this study attemps to profile a typical successful student in a visual arts program, namely the Illustration & Design program at Dawson College. To this end, questionnaires, designed by the researcher, served to investigate the students' reasons for choosing the program as well as provide demographic data. In addition, students' personality types were investigated by means of the online Sternberg & Wagner Thinking Styles Inventory (SWTSI) questionnaire. Using the SPSS statistical software, an analysis was done to determine whether students who offer intrinsically motivated reasons for applying to the Illustration & Design program are those who also demonstrate greater academic success. Furthermore, grounding this study in Sternberg's theory of mental self governance, students' college grades were correlated to their personality type to determine if Type I personality types perform better academically than Type II or Type III (Zhang, 2005), The participants consisted of three cohorts (128 students form semester 1, 3 and 5) of the Illustration & Design program, as well as two comparison groups, one from the Fine Arts program (24 students), and another from the Business Administration program, a non-visual arts program at Dawson College (20 students).||Résumé: Les recherches portant sur l'identification de moyens qui permettent de prédire la réussite dans les programmes d'arts plastiques sont très rares. Par conséquent, cette étude tente de dresser le profil de l'élève type qui réussit dans un programme d'arts visuels, à savoir le programme Illustration & Design au Collège Dawson. À cette fin, des questionnaires conçus par le chercheur ont servi à déterminer les raisons pour lesquelles l'élève a choisi ce programme et ont permis de fournir des données démographiques. En outre, les étudiants ont été catégorisés par type de personnalité au moyen du questionnaire Sternberg & Wagner Thinking Styles Inventory (SWTSI). Grâce au logiciel statistique SPSS, une analyse a été effectuée afin de déterminer si les élèves dont la motivation comptait beaucoup dans leur choix du programme Illustration & Design étaient aussi ceux qui affichaient un taux de réussite plus élevé. En outre, en s'appuyant sur la Théorie d'autonomie de gestion mentale de Sternberg, cette étude avait pour but de corréler les résultats scolaires des élèves à leur personnalité afin de déterminer si les étudiants du Type de personnalité I avaient de meilleurs résultats scolaires que ceux de Type II et de Type III (Zhang, 2005). Les participants étaient composés de trois cohortes (128 étudiants des 1er, 3e et 5e semestres) du programme Illustration et Design ainsi que de deux groupes témoins, un groupe de 24 élèves du programme de Techniques de l'Administration, programme en dehors des arts visuels.