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Dive into the research topics where Neal D. Goldstein is active.

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Featured researches published by Neal D. Goldstein.


Journal of Clinical Hypertension | 2014

Arterial stiffness and wave reflection 1 year after a pregnancy complicated by hypertension.

Deborah B. Ehrenthal; Neal D. Goldstein; Pan Wu; Stephanie Rogers; Raymond R. Townsend; David G. Edwards

Hypertensive disorders of pregnancy (HDP) are associated with cardiovascular disease (CVD) later in life. The authors investigated the association of HDP with blood pressure (BP) and arterial stiffness 1‐year postpartum. Seventy‐four participants, 33 with an HDP and 41 with uncomplicated pregnancies, were examined using applanation tonometry to measure BP, carotid‐femoral pulse wave velocity (cfPWV), and augmentation index (AIx). On average, women with HDP had a 9 mm higher systolic BP (P<.01), 0.8 m/s faster cfPWV (P=.09), and 5.4% greater AIx (P=.09) at the 1‐year examination. After adjustment for covariates, there was no significant difference in cfPWV between groups, while a 7.3% greater AIx (P<.05) remained. These findings suggest that reduced endothelial function may be detected 1 year after HDP. Large prospective studies are needed to further understand the contribution of arterial stiffness and endothelial dysfunction in the evolution of CVD after these complicated pregnancies.


Epidemiology | 2015

To Be or Not to Be: Bayesian Correction for Misclassification of Self-reported Sexual Behaviors Among Men Who Have Sex with Men.

Neal D. Goldstein; Seth L. Welles; Igor Burstyn

Background: Inferring sexual behavior of a stigmatized minority through self-reported sexual identity is subject to misclassification and can lead to biased results. We quantify the degree of this misclassification and perform a Bayesian correction of the risk of HIV infection in relation to self-reported sexual behavior. Methods: Sensitivity and specificity of self-reported men who have sex with men in ascertaining sexual behavior was derived from validation data, as was the informative prior on the association of same-sex behavior with self-reported HIV infection. Using these priors, we performed two separate Bayesian analyses of National Epidemiologic Survey on Alcohol and Related Conditions data for the odds of self-reported HIV positivity, adjusting for differential misclassification of self-reported same-sex behavior indicated by either partner gender or sexual identity. Results: We found differential exposure misclassification with specificity exceeding sensitivity, and higher misclassification rates based on sexual identity compared with partner gender. Sexual identity and partner gender displayed different associations with HIV infection in the raw data but these became virtually identical when adjusted for estimates of misclassification of sexual behavior by these two indicators. The estimate of prevalence of same-sex behavior associated with an elevated risk of HIV infection decreased after adjustment for misclassification. Conclusions: Studies of risk due to same-sex behavior are likely biased when they rely on self-identification for ascertainment of risk factors, especially when self-reported identity is used. The implications of our findings on risk modeling cannot be assumed to be trivial due to substantial shifts in distributions of risk and prevalence of exposure.


International Journal of Drug Policy | 2016

Drug use among men by sexual behaviour, race and ethnicity: prevalence estimates from a nationally representative US sample

Neal D. Goldstein; Igor Burstyn; Michael T. LeVasseur; Seth L. Welles

BACKGROUND: Men who have sex with men (MSM) report drug use more frequently than non-MSM, however data are lacking that examine the disparity within racial and ethnic groups. METHODS: Using a nationally representative sample of men in the US stratified by race and ethnicity, we present prevalence estimates of self-reported drug use comparing MSM to non-MSM. RESULTS: Prevalence of self-reported drug use was greater among MSM compared to non-MSM, with the exception of heroin. White MSM reported greatest drug use overall, with amphetamine use representing the greatest disparity compared to black or Hispanic MSM. Hispanic MSM reported the greatest crack/cocaine and heroin use. Men who reported using drugs were younger then men who did not report using drugs; there were no age patterns of reported drug use among MSM. CONCLUSION: Drug use is a public health concern among MSM, compounding a racial and ethnic disparity. Intersectionality is a useful framework for identifying subgroups with highest reported rates of drug use. Language: en


Vaccine | 2015

Choice of measures of vaccination and estimates of risk of pediatric pertussis.

Neal D. Goldstein; E. Claire Newbern; Alison A. Evans; Kate Drezner; Seth L. Welles

BACKGROUND Vaccination uptake at the individual level can be assessed in a variety of ways, including traditional measures of being up-to-date (UTD), measures of UTD that consider dose timing, like age-appropriate vaccination, and risk reduction from individual doses. This analysis compared methods of operationalizing vaccination uptake and corresponding risk of pertussis infection. METHODS City-wide case-control study of children in Philadelphia aged 3 months through 6 years, between 2001 and 2013. Multiple logistic regression was used to isolate the independent effects of each measure of vaccination uptake and the corresponding relative odds of pertussis. RESULTS Being UTD on vaccinations was associated with a 52% reduction in risk of pertussis (OR 0.48, 95% CI: 0.34, 0.69). Evaluation of delayed receipt of vaccine versus on-time UTD yielded similar results. There was a decrease in risk of pertussis for each additional dose received with the greatest reduction in pertussis infection observed from the first (OR 0.48, 95% CI: 0.28, 0.83) and second dose (OR 0.17, 95% CI: 0.08, 0.34). Additional doses conferred minimal additional protection in this age group. CONCLUSION Examining vaccination status by individual doses may offer improved predictive capacity for identifying children at risk for pertussis infection compared to the traditional UTD measure.


Infection Control and Hospital Epidemiology | 2017

A Network Model of Hand Hygiene: How Good Is Good Enough to Stop the Spread of MRSA?

Neal D. Goldstein; Stephen C. Eppes; Amy Mackley; Deborah Tuttle; David A. Paul

BACKGROUND Simulation models have been used to investigate the impact of hand hygiene on methicillin-resistant Staphylococcus aureus (MRSA) transmission within the healthcare setting, but they have been limited by their ability to accurately model complex patient-provider interactions. METHODS Using a network-based modeling approach, we created a simulated neonatal intensive care unit (NICU) representing the potential for per-hour infant-infant MRSA transmission via the healthcare worker resulting in subsequent colonization. The starting prevalence of MRSA colonized infants varied from 2% to 8%. Hand hygiene ranged from 0% (none) to 100% (theoretical maximum), with an expected effectiveness of 88% inferred from literature. RESULTS Based on empiric care provided within a 1-hour period, the mean number of infant-infant MRSA transmissible opportunities per hour was 1.3. Compared to no hand hygiene and averaged across all initial colonization states, colonization was reduced by approximately 29%, 51%, 67%, 80%, and 86% for the respective levels of hygiene: 24%, 48%, 68%, 88%, and 100%. Preterm infants had a 61% increase in MRSA colonization, and mechanically ventilated infants had a 27% increase. CONCLUSIONS Even under optimal hygiene conditions, horizontal transmission of MRSA is possible. Additional prevention paradigms should focus on the most acute patients because they are at greatest risk. Infect Control Hosp Epidemiol 2017;38:945-952.


Pathophysiology | 2014

A public health perspective on HIV/AIDS in Africa: Victories and unmet challenges

Michael T. LeVasseur; Neal D. Goldstein; Seth L. Welles

More than three decades after the first cases of HIV were recognized in the United States and worldwide, Africa remains a remarkable example of both public health successes and remaining challenges. Although many African countries initially lacked the resources and sociopolitical will to advance HIV treatment and prevention strategies, world governments, a committed scientific community, and activists have made tremendous advances. We present a public health perspective on the history of the HIV epidemic in Africa, combining summaries of the epidemiology of HIV infection rates and risk factors for horizontal and vertical HIV transmission, along with a historic perspective on programmatic and funding initiatives that have strongly reduced levels of HIV infection across the continent. In our preparation of this review two clear themes emerged: that (1) the HIV epidemic in Africa remains geographically and culturally heterogeneous, so that treatment and prevention strategies need to be thoughtfully tailored for maximal effectiveness; and (2) a lack of openness to recognize and discuss infection disparities in high risk groups, disseminate prevention information, and enact policies to partner with these highly stigmatized risk groups. This is especially true of female sex workers, people who inject drugs, and men who have sex with men, communities that are often not recognized or typically undercounted when HIV testing and prevention policies are developed by many African governments. Without changes to recognize and de-stigmatize these high-risk groups, a lack of sociopolitical will to alter public health perspectives will likely hinder advances to further curb the HIV epidemic.


Online Journal of Public Health Informatics | 2011

A Brief Review of Vaccination Coverage in Immunization Registries

Neal D. Goldstein; Brett A Maiese

Immunization registries are effective electronic tools for assessing vaccination coverage, but are only as good as the information reported to them. This review summarizes studies through August 2010 on vaccination coverage in registries and identifies key characteristics of successful registries. Based on the current state of registries, paper-based charts combined with electronic registry reporting provide the most cohesive picture of coverage. To ultimately supplant paper charts, registries must exhibit increased coverage and participation.


Epidemiology | 2017

Bayesian Approaches to Racial Disparities in Hiv Risk Estimation Among Men Who Have Sex with Men.

Neal D. Goldstein; Igor Burstyn; Seth L. Welles

Background: Men who have sex with men (MSM) continue to be overrepresented for new HIV infections compared with non-MSM. This disparity becomes even more alarming when considering racial groups. We describe the race-specific effects in HIV prevalence among MSM relative to non-MSM and explore the causes of disagreement among estimates. Methods: We used data from the National Epidemiologic Survey on Alcohol and Related Conditions, a nationally representative longitudinal survey conducted in the US Bayesian learning corrected for potential misclassification of MSM status and adjusted for residual confounding, hypothesized to explain the MSM racial disparity in HIV. We articulated the structure and strength of the latent confounders that would make race-specific risk gradients equivalent. Results: Compared with non-MSM, the adjusted prevalence odds ratio (POR) and 95% credible interval for black MSM having self-reported HIV infection was 5.8 (2.0, 16), while the POR for white MSM was 12 (4.2, 31). For all MSM, the POR for HIV infection was 9.3 (3.6, 23) with black men having 2.6 times the odds of prevalent infection compared with white men. Conclusions: The observed race-specific associations in MSM are likely not due to misclassification alone, but represent a constellation of factors that differ between racial groups. We recommend specific risk factors in surveys needed to further identify the behavioral characteristics that lead to the observed differences when the estimates are stratified by race.


American Journal of Epidemiology | 2016

Bayesian Correction of Misclassification of Pertussis in Vaccine Effectiveness Studies: How Much Does Underreporting Matter?

Neal D. Goldstein; Igor Burstyn; E. Claire Newbern; Loni Philip Tabb; Jennifer Gutowski; Seth L. Welles

Diagnosis of pertussis remains a challenge, and consequently research on the risk of disease might be biased because of misclassification. We quantified this misclassification and corrected for it in a case-control study of children in Philadelphia, Pennsylvania, who were 3 months to 6 years of age and diagnosed with pertussis between 2011 and 2013. Vaccine effectiveness (VE; calculated as (1 - odds ratio) × 100) was used to describe the average reduction in reported pertussis incidence resulting from persons being up to date on pertussis-antigen containing vaccines. Bayesian techniques were used to correct for purported nondifferential misclassification by reclassifying the cases per the 2014 Council of State and Territorial Epidemiologists pertussis case definition. Naïve VE was 50% (95% confidence interval: 16%, 69%). After correcting for misclassification, VE ranged from 57% (95% credible interval: 30, 73) to 82% (95% credible interval: 43, 95), depending on the amount of underreporting of pertussis that was assumed to have occurred in the study period. Meaningful misclassification was observed in terms of false negatives detected after the incorporation of infant apnea to the 2014 case definition. Although specificity was nearly perfect, sensitivity of the case definition varied from 90% to 20%, depending on the assumption about missed cases. Knowing the degree of the underreporting is essential to the accurate evaluation of VE.


Autism Research | 2015

Mapping Collaboration Networks in the World of Autism Research

Neal D. Goldstein; Helen Tager-Flusberg; Brian K. Lee

In the era of globalization and with the emergence of autism spectrum disorder as a global concern, the landscape of autism research has expanded to encompass much of the world. Here, we seek to provide an overview of the world of autism research, by documenting collaboration underlying the International Meeting for Autism Research (IMFAR), the pre‐eminent annual scientific meeting devoted to the presentation of the latest autism research. We analyzed published abstracts presented at IMFAR meetings, between 2008 and 2013, to determine patterns of collaboration. We described collaboration networks on the individual, institutional, and international levels, and visually depicted these results on spatial network maps. Consistent with findings from other scientific disciplines, we found that collaboration is correlated with research productivity. Collaborative hotspots of autism research throughout the years were clustered on the East and West coasts of the U.S., Canada, and northern Europe. In years when conferences were held outside of North America, the proportion of abstracts from Europe and Asia increased. While IMFAR has traditionally been dominated by a large North American presence, greater global representation may be attained by shifting meeting locations to other regions of the world. Autism Res 2015, 8: 1–8.

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David A. Paul

Christiana Care Health System

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Stephen C. Eppes

Thomas Jefferson University

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Deborah Tuttle

Christiana Care Health System

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Stephanie Rogers

Christiana Care Health System

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Yukiko Washio

Christiana Care Health System

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