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39 results on '"Delhey, Leanna"'

22. Mitochondrial Fatty Acid β-Oxidation and Resveratrol Effect in Fibroblasts from Patients with Autism Spectrum Disorder

Author

Barone, Rita, primary, Bastin, Jean, additional, Djouadi, Fatima, additional, Singh, Indrapal, additional, Karim, Mohammad Azharul, additional, Ammanamanchi, Amrit, additional, McCarty, Patrick John, additional, Delhey, Leanna, additional, Shannon, Rose, additional, Casabona, Antonino, additional, Rizzo, Renata, additional, and Frye, Richard Eugene, additional

Published
2021
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24. Prenatal air pollution influences neurodevelopment and behavior in autism spectrum disorder by modulating mitochondrial physiology

Author

Frye, Richard E., primary, Cakir, Janet, additional, Rose, Shannon, additional, Delhey, Leanna, additional, Bennuri, Sirish C., additional, Tippett, Marie, additional, Melnyk, Stepan, additional, James, S. Jill, additional, Palmer, Raymond F., additional, Austin, Christine, additional, Curtin, Paul, additional, and Arora, Manish, additional

Published
2020
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25. Biological Pathways of Long-Term Visit-to-Visit Blood Pressure Variability in the American Population: Cardiovascular Health Study and Women’s Health Initiatives

Author

Faramawi, Mohammed F., primary, Orloff, Mohammed S., additional, Delongchamp, Robert, additional, Wang, Yan, additional, Feingold, Eleanor, additional, Thapa, Susan, additional, Jin, Jing, additional, Delhey, Leanna, additional, Abouelenein, Saly, additional, Zhang, Qing, additional, and Singh, Karan P., additional

Published
2020
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31. The difference between hypertension determined by self-report versus examination in the adult population of the USA: Continuous NHANES 1999–2016.

Author

Delhey, Leanna, Shoults, Catherine, Johnson, Kemmian, Orloff, Mohammed, Faramawi, Mohammed F, and Delongchamp, Robert

Subjects
HYPERTENSION, PHYSICAL diagnosis, CONFIDENCE intervals, BODY weight, SELF-evaluation, CROSS-sectional method, REGRESSION analysis, SURVEYS, QUESTIONNAIRES, DESCRIPTIVE statistics, BLOOD pressure measurement, BODY mass index, DATA analysis software
Abstract

Background Studies have considered the validity of self-reported hypertension relative to hypertension detected by examination; no study has explored trends in the difference between these two measures. Our objective was to calculate these differences overtime within subpopulations of the USA. Methods We included non-Hispanic white, non-Hispanic black and Hispanic adults who participated in the National Health and Nutrition Examination Surveys from 1999 to 2016, in the analysis (N  = 44 333). We subtracted self-reported hypertension from hypertension detected by examination to calculate blood pressure difference (BPD). We fit weighted linear regression models that included important covariates along with all combination of two- and three-way interactions to predict the BPD. We used the fitted lines of the models to depict the patterns of differences in the different subpopulations. Results Age ≥ 45 years, lack of annual clinical visit, body mass index (BMI) < 25 and time were important factors associated with increased BPD. Conclusions People who are ≥ 45 years, have normal BMI, or do not have annual medical visits are more likely to have a bigger BPD. We can use the calculated BPD, to adjust estimates of the prevalence of self-reported hypertension. [ABSTRACT FROM AUTHOR]

Published
2021
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32. Comparison of Three Clinical Trial Treatments for Autism Spectrum Disorder Through Multivariate Analysis of Changes in Metabolic Profiles and Adaptive Behavior

Author

Vargason, Troy, primary, Kruger, Uwe, additional, Roth, Emily, additional, Delhey, Leanna M., additional, Tippett, Marie, additional, Rose, Shannon, additional, Bennuri, Sirish C., additional, Slattery, John C., additional, Melnyk, Stepan, additional, James, S. Jill, additional, Frye, Richard E., additional, and Hahn, Juergen, additional

Published
2018
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33. Multivariate techniques enable a biochemical classification of children with autism spectrum disorder versus typically-developing peers: A comparison and validation study

Author

Howsmon, Daniel P., primary, Vargason, Troy, additional, Rubin, Robert A., additional, Delhey, Leanna, additional, Tippett, Marie, additional, Rose, Shannon, additional, Bennuri, Sirish C., additional, Slattery, John C., additional, Melnyk, Stepan, additional, James, S. Jill, additional, Frye, Richard E., additional, and Hahn, Juergen, additional

Published
2018
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38. The association of metabolic syndrome and QRS|T angle in US adults (NHANES III).

Author

Delhey, Leanna, Jin, Jing, Thapa, Susan, Delongchamp, Robert, and Faramawi, Mohammed F.

Subjects
HEART disease complications, HEART disease diagnosis, SURVEYS, ELECTROCARDIOGRAPHY, HEART diseases
Abstract

Background: Spatial QRS|T angle is a predictor of cardiovascular events. Those with metabolic syndrome have an increased risk of cardiovascular morbidity and mortality. This study investigated the association between metabolic syndrome and spatial QRS|T angle.Methods: We obtained data from the National Health and Nutritional Examination Survey III on 6,249 adults. We calculated spatial QRS|T angle from the standard 12-lead electrocardiogram and classified it as abnormal, borderline, or normal. We identified metabolic syndrome if at least three of the following were present: abdominal obesity, elevated blood pressure, elevated triglycerides, decreased high-density lipoprotein (HDL), and impaired fasting glucose. We used weighted logistic regression to estimate the effect of metabolic syndrome and its components on QRS|T angle while stratifying by gender and adjusting for age, race, smoking status, heart rate, PR, QT, and QRS interval, and QRS amplitude.Results: Among men and women, metabolic syndrome, the number of components present, elevated blood pressure, and impaired fasting glucose were positively associated with QRS|T angle. Among women, decreased HDL and abdominal obesity were also positively associated with QRS|T angle.Conclusions: This study suggests that persons with metabolic syndrome may be at increased risk for ventricular arrhythmias. The use of spatial QRS|T angle to assess this cardiovascular risk is warranted. [ABSTRACT FROM AUTHOR]

Published
2020
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39. The Relationship between Insulin Resistance and Spatial QRS-T Angle in American Adults.

Author

Faramawi MF, Delhey L, Abouelenein S, Brown LM, and Delongchamp R

Abstract

Background: Insulin resistance can impair the electrical conductivity of the heart. Spatial QRS-T axis reflects ventricular depolarization and repolarization. The relationship between insulin resistance and spatial QRS-T angle has not been examined in the general population., Objective: We examined the relationship between insulin resistance and spatial QRS-T angle in an American population-based sample., Methods: We used data collected from the National Health and Nutrition Examination Survey III (NHANES III), and a directed acyclic graph to select confounders. We fitted logistic regression models and adjusted for the effect of the confounders. We stratified all analyses by gender., Results: The odds ratios (OR) of the abnormal QRS-T angle and their 95% confidence intervals (CI) for females and males were 1.08 (1.03-1.16) and 1.03 (0.96-1.11), respectively. A 5-unit increase in insulin resistance in females increased the odds of an abnormal QRS-T angle by 47% (OR = 1.47, 95% CI, 1.10-2.10); in males, a 5-unit increase in insulin resistance increased the OR by 17% (OR = 1.17, 95% CI, 0.82-1.70)., Conclusions: Spatial QRS-T angle may be associated with insulin resistance, especially in women. The individuals with a higher insulin resistance value had higher odds for major adverse cardiovascular events. Nevertheless, the results of this study should be verified in prospective studies.

Published
2021
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