Long‐term Outcomes of Children Born to Anti‐Ro Antibody Positive Mothers with and without Rheumatic Disease
Talia DiazAshely DanguecanDaniela DomínguezAndrea KnightCarl A. LaskinDeborah M. LevyEdgar JaeggiMelissa MisztalPiush J. MandhaneTheo J. MoraesLawrence NgFranklin SilverioEarl D. SilvermanElinor SimonsStuart E. TurveyPadmaja SubbaraoLinda T. Hiraki
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Objective Estimate the prevalence of allergic, neurodevelopmental, and autoimmune diagnoses in children born to anti‐Ro antibody positive mothers. Methods A cohort study of children born to anti‐Ro antibody positive mothers followed in the Neonatal Lupus Erythematosus clinic (NLE) at SickKids Hospital. Participants ≥ 1 year of age were invited to complete a health status questionnaire. Prevalence of allergic, neurodevelopmental, and autoimmune disease diagnoses were compared between from the NLE cohort and the non‐NLE population‐based CHILD Cohort Study. Descriptive statistics were used for demographics, NLE manifestations and outcomes. Fisher's exact tests compared the prevalence of diagnoses between subgroups. We tested the association between allergies and neurodevelopmental conditions and NLE with logistic regression models. A P‐value of <0.006 was considered significant. Results We included 321 participants with anti‐Ro antibody positive mothers. Median age at survey completion: 6 years, 51% female, 50% (n=162) NLE. No significant difference in any disease prevalence between children with and without NLE manifestations (p = 0.57) nor between children born to mothers with and without a rheumatic disease (p = 0.11). Disease prevalence was similar between the NLE and CHILD cohorts, allergic disease 30% vs 22%, p= 0.25, neurodevelopmental conditions 5% vs 2%, p=0.45, autoimmune disease 4% vs 2%, p=0.68. Conclusions In a large, multiethnic cohort of infants born to anti‐Ro antibody positive mothers, there was no significant difference in the prevalence of allergic, neurodevelopmental, or autoimmune diseases between children with and without NLE, nor between those born to anti‐Ro antibody positive mothers and a population‐based, non‐NLE cohort.Vitamin D deficiency is less common among HIV-infected African–American men than in a matched cohort
The aim of this study was to compare the prevalence of vitamin D sufficiency and deficiency in a HIV-infected cohort of African-American men with that of a general population. We found median vitamin D concentrations were significantly greater in the HIV-infected cohort, 18 ng/ml as compared to the National Health and Nutrition Examination Survey cohort, 14 ng/ml (P ≤ 0.0001). Thus, factors other than measured vitamin D are likely to be responsible for higher rates of bone disease in this population.
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— It is undeniable that cardiovascular disease is the number one cause of death in the world. Various factors such as age, cholesterol level, and unhealthy lifestyle can trigger cardiovascular disease. The symptoms of cardiovascular disease are also challenging to identify. It takes careful understanding and analysis related to patient medical record data and identification of the parameters that cause this disease. This study was conducted to predict the main factors causing cardiovascular disease. In this study, a dataset consisting of 14 attributes with class labels was used as the basis for identification as a link between factors that cause cardiovascular disease. The research area used is the area of analysis data where the analyzed data are on factors that influence the presence of cardiovascular disease in the State of Cleveland. In predicting cardiovascular disease, a logistic regression algorithm will be used to see the interrelation between the dependent variable and the independent variables involved. With this research, it is expected to be able to increase readers' knowledge and insight related to how to analyze cardiovascular disease using logistic regression algorithms and the main factors that cause cardiovascular disease.
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The prelims comprise: The aim of logistic regression The logistic model Using Stata for logistic regression analysis The receiver operating characteristic curve Indicator variables in logistic regression Testing the linear trend Evaluating how well the logistic model fits the data Using Stata to compute sensitivity and specificity Key points in evaluating a logistic model
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In this paper, we compare logistic regression and 2 other classification methods in predicting hypertension given the genotype information. We use logistic regression analysis in the first step to detect significant single-nucleotide polymorphisms (SNPs). In the second step, we use the significant SNPs with logistic regression, support vector machines (SVMs), and a newly developed permanental classification method for prediction purposes. We also detect rare variants and investigate their impact on prediction. Our results show that SVMs and permanental classification both outperform logistic regression, and they are comparable in predicting hypertension status.
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Introduction: Vitamin D deficiency has been documented across all age groups and both sexes from India. However, there is paucity of data on vitamin D deficiency in a particular cohort of population. Objectives: To assess the vitamin D status in a cohort of physicians and diabetologists in Kolkata. Material and Methods: An observational cross sectional study carried out in the month of December 2011 in a cohort of 40 physicians and diabetologists in Kolkata. Results: A total of 40 subjects were studied. Mean age of the cohort was 52.22 ± 10.91. Mean serum vitamin D level was 13.02 ± 4.77 ng/ml. Nearly 92.5% and 5.0% of subjects had vitamin D deficiency and insufficiency, respectively. Conclusions: Vitamin D deficiency is highly prevalent in physicians and diabetologists in Kolkata.
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The E3N (Etude Epidémiologique auprès de femmes de la Mutuelle Générale de l'Education Nationale) cohort was initiated in 1990 to investigate therisk factors associated with cancer and other major non-communicable diseases in women. The participants were insured through a national health system that primarily covered teachers, and were enrolled from 1990 after returning baseline self-administered questionnaires and providing informed consent. The cohort comprised nearly 100,000 women with baseline ages ranging from 40 to 65 years. Follow-up questionnaires were sent approximately every 2-3 years after the baseline and addressed general and lifestyle characteristics together with medical events (cancer, cardiovascular diseases, diabetes, depression, fractures and asthma, among others). The follow-up questionnaire response rate remained stable at approximately 80%. A biological material bank was generated and included blood samples collected from 25,000 women and saliva samples from an additional 47,000 women. Ageing among the E3N cohort provided the opportunity to investigate factors related to age-related diseases and conditions as well as disease survival. The new E4N complementary cohort (Epidemiology 4 kNowledge), which comprises the children and grandchildren of the E3N cohort as well as the children's fathers, will allow researchers to investigate key life periods during which exposures to environmental factors most strongly influence the later disease risk. The E3N and E4N cohort data will be used to investigate diseases and risk factors through a transgenerational approach. Requests for collaborations are welcome, particularly those in conjunction with rare diseases.
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ABSTRACT Purpose The Mother and Child Covid-19 study is a cohort recruiting pregnant women and their children in Cantabria, North of Spain, during COVID-19 pandemic in order to ascertain Consequences of SARS-CoV-2 infection on pregnant women and their descendants. This article reports the cohort profile and preliminary results as recruitment is still open. Participants Three sub-cohorts can be identified at recruitment. Sub-cohort 1 includes women giving birth between 23 rd March and 25 th May 2020; they have been retrospectively recruited and could have been exposed to COVID-19 only in their third trimester of pregnancy. Sub-cohort 2 includes women giving birth from 26 th May 2020 on; they are being prospectively recruited and could have been exposed to COVID-19 in both their second and third trimesters of pregnancy. Sub-cohort 3 includes women in their 12 th week of pregnancy prospectively recruited from 26 th May 2020 on; they could have been exposed to COVID-19 anytime in their pregnancy. All women are being tested for SARS-CoV-2 infection using both RT-PCR for RNA detection and ELISA for anti-SARS-CoV-2 antibodies. All neonates are being tested for antibodies using immunochemoluminiscency tests; if the mother is tested positive for SARS-CoV-2 RNA, a naso-pharyngeal swab is also obtained from the child for RT-PCR analysis. Findings to date As of 22 nd October, 1167 women have been recruited (266, 354 and 547 for sub-cohorts 1, 2 and 3, respectively). Fourteen women tested positive to SARS-CoV-2 RNA by the day of delivery. All fourteen children born from these women tested negative for SARS-CoV-2 RNA. Future plans Children from women included in sub-cohort 3 are expected to be recruited by the end of 2020. Children will be followed-up for one year in order to ascertain the effect that COVID-19 on their development. ARTICLE SUMMARY Strengths and limitations Strengths This cohort would ascertain the effect of COVID-19 in both mother and children whatever the trimester of the infection. It would also compare health care provided to pregnant women during the COVID-19 pandemic with that provided in the same hospital before the emergence of COVID-19. The cohort is recruited in Spain, one of the developed countries earlier and more affected by COVID-19. Limitations The study could be underpowered according to the prevalence reported in a Spanish national study. Information regarding exposure to people infected by SARS-CoV-2 or risk activities is self-reported.
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Cohort Profile : The Epidemiology of Chronic Diseases and Multimorbidity. The EpiChron Cohort Study
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In this manuscript, we update the profile of the 1982 Pelotas Birth Cohort Study.In 1982, 5914 live births whose families lived in the urban are of Pelotas were enrolled in the cohort. In 2012-13, we tried to locate the whole original cohort; 3701 participants were interviewed who, added to the 325 known deaths, represented a follow-up rate of 68.1%. In contrast to the previous home interviews, in this wave all participants were invited to visit the research clinic to be interviewed and examined. The visit was carried out at a mean age of 30.2 years and mainly focused on four categories of outcomes: (i) mental health; (ii) body composition; (iii) precursors of complex chronic diseases; and (iv) human capital. Requests for collaboration by outside researchers are welcome.
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