21 research outputs found

    Breastfeeding, infant formula supplementation, and Autistic Disorder: the results of a parent survey

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    BACKGROUND: Although Autistic Disorder is associated with several congenital conditions, the cause for most cases is unknown. The present study was undertaken to determine whether breastfeeding or the use of infant formula supplemented with docosahexaenoic acid and arachidonic acid is associated with Autistic Disorder. The hypothesis is that breastfeeding and use of infant formula supplemented with docosahexaenoic acid/arachidonic acid are protective for Autistic Disorder. METHODS: This is a case-control study using data from the Autism Internet Research Survey, an online parental survey conducted from February to April 2005 with results for 861 children with Autistic Disorder and 123 control children. The analyses were performed using logistic regression. RESULTS: Absence of breastfeeding when compared to breastfeeding for more than six months was significantly associated with an increase in the odds of having autistic disorder when all cases were considered (OR 2.48, 95% CI 1.42, 4.35) and after limiting cases to children with regression in development (OR 1.95, 95% CI 1.01, 3.78). Use of infant formula without docosahexaenoic acid and arachidonic acid supplementation versus exclusive breastfeeding was associated with a significant increase in the odds of autistic disorder when all cases were considered (OR 4.41, 95% CI 1.24, 15.7) and after limiting cases to children with regression in development (OR 12.96, 95% CI 1.27, 132). CONCLUSION: The results of this preliminary study indicate that children who were not breastfed or were fed infant formula without docosahexaenoic acid/arachidonic acid supplementation were significantly more likely to have autistic disorder

    Prostate Cancer Postoperative Nomogram Scores and Obesity

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    Nomograms are tools used in clinical practice to predict cancer outcomes and to help make decisions regarding management of disease. Since its conception, utility of the prostate cancer nomogram has more than tripled. Limited information is available on the relation between the nomograms' predicted probabilities and obesity. The purpose of this study was to examine whether the predictions from a validated postoperative prostate cancer nomogram were associated with obesity.We carried out a cross-sectional analysis of 1220 patients who underwent radical prostatectomy (RP) in southern California from 2000 to 2008. Progression-free probabilities (PFPs) were ascertained from the 10-year Kattan postoperative nomogram. Multivariable logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs).In the present study, aggressive prostate cancer (Gleason β‰₯7), but not advanced stage, was associated with obesity (pβ€Š=β€Š0.01). After adjusting for age, black race, family history of prostate cancer and current smoking, an inverse association was observed for 10-year progression-free predictions (ORβ€Š=β€Š0.50; 95% CIβ€Š=β€Š0.28–0.90) and positive associations were observed for preoperative PSA levels (ORβ€Š=β€Š1.23; 95% CIβ€Š=β€Š1.01–1.50) and Gleason >7 (ORβ€Š=β€Š1.45; 95% CIβ€Š=β€Š1.11–1.90).Obese RP patients were more likely to have lower PFP values than non-obese patients, suggesting a higher risk of experiencing prostate cancer progression. Identifying men with potentially higher risks due to obesity may improve disease prognosis and treatment decision-making

    Existence of late-effects instruments for cancer survivors: A systematic review.

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    INTRODUCTION:The number of cancer survivors is projected to increase to 22.1 million by 2030. Late effects incorporate the full domains of cancer survivorship (e.g., physiologic, psychosocial, economic). They are numerous, complex, and potentially alter the life trajectories of cancer survivors. Currently, research is missing on the impact of late effects (e.g., cardiomyopathy, fertility, lymphedema, anxiety) on cancer survivors. OBJECTIVE:The goal of this study is to present a systematic review of existing instruments for identifying, diagnosing, and managing late effects within cancer survivors. METHODS:Using PRISMA guidelines, a systematic search was conducted using the electronic databases of PubMed and Web of Science to identify relevant papers. Articles considered eligible for this review met the following criteria: 1) written in English, 2) published until September 30, 2019, and 3) containing instruments with questions on late effects. Hypothesis, study design, study sample, questionnaire domains, details of late effects, results, conclusions, and advantages/disadvantages of each article were assessed using a modified version of the NHLBI quality assessment tool. RESULTS:An exhaustive literature review revealed 576 publications in PubMed, 628 in Web of Science, and 260 from additional sources. After removing duplicates, articles without late-effects questionnaires, and publications using identical questionnaires, 11 studies fulfilled the eligibility criteria. Study quality assessment was measured on a scale of 0-6 (0 = poor quality; 6 = highest quality). Only one study was rated with a score of 5 (Rocque). CONCLUSIONS:Taken in totality, none of the studies adequately addressed the prevalence, etiology, characteristics, management, and prevention of late effects. There is currently no comprehensive questionnaire that captures all of the relevant details of late effects across the cancer survivorship continuum nor that tracks the interrelatedness of multiple late effects. Hence, it is difficult to identify, diagnose, manage, and ultimately prevent late effects

    Late effects awareness website for pediatric survivors of acute lymphocytic leukemia

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    <div><p>Objectives</p><p>Every day 43 children are newly diagnosed with cancer. Fortunately, almost 90% of these childhood cancer patients will survive. However, 60–90% of these survivors will experience late effects, health problems that occur months or years after treatment has ended. Late effects could occur as a result of the disease, its treatment, and patient-related factors. The two main objectives of this research are to: 1) Examine the existence of all web-based resources for childhood cancer survivors with acute lymphocytic leukemia which focus on medical and psychological aspects of late effects, and 2) Create an innovative website specifically designed to fill this void.</p><p>Materials and methods</p><p>A systematic literature review, followed by input from >20 different organizations, resulted in the creation of LEAP<sup>3</sup> AHEAD (Late Effects Awareness for Patients, Physicians and the Public; Advancing Health and Eliminating All Disparities), a multi-dimensional website centering on late effects.</p><p>Results</p><p>An extensive review revealed 14 pediatric cancer websites, none of which focused exclusively on late effects. LEAP<sup>3</sup> AHEAD is the first interactive website for acute lympocytic leukemia childhood cancer survivors and families, as well as physicians, and the public to: a) increase awareness about risks, detection, diagnosis, treatment, and prevention of medical and psychological late effects, b) provide suggestions to successfully reintegrate into schools, careers, and socially, and c) present opportunities including camps, scholarships, and pet therapy programs.</p><p>Conclusion</p><p>LEAP<sup>3</sup> AHEAD is the first national website to provide a comprehensive, accessible, affordable, and multi-dimensional resource for pediatricians, internists, nurse practitioners, psychologists, survivors and their families, as well as the public about late effects.</p></div

    Current websites on late effects in childhood cancer survivors.

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    <p>Current websites on late effects in childhood cancer survivors.</p

    Equivalency of in vitro fertilization success rates in elective single blastocyst transfer and elective double blastocyst transfer: An example of equivalence methodology in clinical reproductive health

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    Context: When comparing success rates between treatments, it is more appropriate to structure analyses in terms of equivalence rather than traditional analyses that assess differences. Unfortunately, no studies of elective single blastocyst transfer (eSBT) have been conducted in this manner. Aims: The objective of this study was to assess clinical equivalence of in vitro fertilization success rates among patients undergoing eSBT. Settings and Design: A historical prospective study was conducted at a private fertility center. Methods: Medical records were reviewed to identify patients eligible for eSBT. Equivalency of success rates, defined as no more than a 10% difference based on 95% confidence intervals (CIs), was compared between eSBT (n = 125) and eDBT (n = 213) groups. Results: Using traditional analysis techniques, no differences in pregnancy or live-birth rates were seen (eSBT: 84.6% vs. eDBT: 84.5%, P = 0.99; eSBT: 65.3% vs. eDBT: 72.3%, P = 0.23). The 95% CI around the difference in pregnancy rates ranged from -7.9 to 8.1, suggesting clinically equivalent pregnancy rates. Clinical equivalence was not established for live-births (95% CI = βˆ’18.5–4.5). Conclusions: Findings suggest comparable pregnancy rates can be achieved in a clinical setting when utilizing eSBT in good-prognosis patients. Although live-birth rate equivalence was not demonstrated, it is thought the additional complications associated with multiple gestations outweigh the potentially higher live-birth rate. The present study highlights the importance of utilizing equivalence analyses when making statements regarding the similarity of two treatments in reproductive health, rather than relying on superiority analyses alone

    Development of a Risk Score to Predict Sudden Infant Death Syndrome

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    Sudden Infant Death Syndrome (SIDS) is the third leading cause of death among infants younger than one year of age. Effective SIDS prediction models have yet to be developed. Hence, we developed a risk score for SIDS, testing contemporary factors including infant exposure to passive smoke, circumcision, and sleep position along with known risk factors based on 291 SIDS and 242 healthy control infants. The data were retrieved from death certificates, parent interviews, and medical records collected between 1989&ndash;1992, prior to the Back to Sleep Campaign. Multivariable logistic regression models were performed to develop a risk score model. Our finalized risk score model included: (i) breastfeeding duration (OR = 13.85, p &lt; 0.001); (ii) family history of SIDS (OR = 4.31, p &lt; 0.001); (iii) low birth weight (OR = 2.74, p = 0.003); (iv) exposure to passive smoking (OR = 2.64, p &lt; 0.001); (v) maternal anemia during pregnancy (OR = 2.07, p = 0.03); and (vi) maternal age &lt;25 years (OR = 1.77, p = 0.01). The area under the curve for the overall model was 0.79, and the sensitivity and specificity were 79% and 63%, respectively. Once this risk score is further validated it could ultimately help physicians identify the high risk infants and counsel parents about modifiable risk factors that are most predictive of SIDS
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