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Institution

Ohio Department of Health

GovernmentColumbus, Ohio, United States
About: Ohio Department of Health is a government organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Public health. The organization has 308 authors who have published 354 publications receiving 14493 citations.


Papers
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Journal ArticleDOI
TL;DR: Six central messages are detailed: milk supply, comfort during breastfeeding, health of baby and mother, social support, presentation of the message, and packaging, including the financial motivation of the author.
Abstract: Lactation consultants and other professionals are frequently asked to review or recommend a video, pamphlet, or teaching aid for a specific audience. This article lists positive features that support the art and science of breastfeeding, and identifies errors and concepts detrimental to the course of breastfeeding. Six central messages are detailed: milk supply, comfort during breastfeeding, health of baby and mother, social support, presentation of the message, and packaging, including the financial motivation of the author.

8 citations

Journal ArticleDOI
TL;DR: P450IA2 activity as measured by the caffeine breath test may by a most useful biomarker in monitoring and understanding the effects of PHBs on the human population.

8 citations

Journal ArticleDOI
16 Aug 2020
TL;DR: This work lays the first step for piloting an NBS protocol in Ohio for identifying newborns at high risk for primary‐specific PDCD and other MtDs who might benefit from neonatal diagnosis and early institution of known therapy and/or potential novel therapies for such disorders.
Abstract: Pyruvate dehydrogenase complex deficiencies (PDCDs) and other mitochondrial disorders (MtDs) can (a) result in congenital lactic acidosis with elevations of blood alanine (Ala) and proline (Pro), (b) lead to decreased ATP production, and (c) result in high morbidity and mortality. With ~140,000 live births annually in Ohio and ~1 in 9,000 overall prevalence of MtDs, we estimate 2 to 3 newborns will have PDCD and 13 to 14 others likely will have another MtD annually. We compared the sensitivities of plasma amino acids (AA) Alanine (Ala), Alanine:Leucine (Ala:Leu), Alanine:Lysine and the combination of Ala:Leu and Proline:Leucine (Pro:Leu), in subjects with known primary-specific PDCD due to PDHA1 and PDHB mutations vs controls. Furthermore, in collaboration with the Ohio newborn screening (NBS) laboratory, we determined Ala and Pro concentrations in dried blood spot (DBS) specimens using existing NBS analytic approaches and evaluated Ala:Leu and Pro:Leu ratios from DBS specimens of 123,414 Ohio newborns in a 12-month period. We used the combined Ala:Leu ≥4.0 and Pro:Leu ≥3.0 ratio criterion from both DBS and plasma specimens as a screening tool in our retrospective review of newborn data. The screening tool applied on DBS and/or plasma (or serum) AA specimens successfully identified three unrelated females with novel de novo PDHA1 mutations, one male with a novel de novo X-linked HSD17B10 mutation, and a female with VARS2 mutations. This work lays the first step for piloting an NBS protocol in Ohio for identifying newborns at high risk for primary-specific PDCD and other MtDs who might benefit from neonatal diagnosis and early institution of known therapy and/or potential novel therapies for such disorders.

7 citations

Journal ArticleDOI
TL;DR: This work compared kidney tissue samples and cloacal and nasopharyngeal swab samples from field-collected dead crows and blue jays for West Nile virus surveillance to find out which samples were likely to be false negative.
Abstract: We compared kidney tissue samples and cloacal and nasopharyngeal swab samples from field-collected dead crows and blue jays for West Nile virus surveillance. Compared to tissue samples, 35% more swab samples were false negative. Swab samples were usually positive only when the corresponding tissue sample was strongly positive.

7 citations

Journal ArticleDOI
TL;DR: Knowing a patient’s GDM history is the critical first step in the prevention of progression to type 2 diabetes for women who had GDM, suboptimal screening for both G DM history and subsequent glucose abnormalities demonstrates missed opportunities for identifying and counseling women with increased risk for type 2 Diabetes.
Abstract: INTRODUCTION Gestational diabetes mellitus (GDM) is associated with a 7-fold increased lifetime risk for developing type 2 diabetes mellitus. Early diagnosis of type 2 diabetes is crucial for preventing complications. Despite recommendations for type 2 diabetes screening every 1 to 3 years for women with previous diagnoses of GDM and all women aged 45 years or older, screening prevalence is unknown. We sought to assess Ohio primary health care providers' practices and attitudes regarding assessing GDM history and risk for progression to type 2 diabetes. METHODS During 2010, we mailed surveys to 1,400 randomly selected Ohio family physicians and internal medicine physicians; we conducted analyses during 2011-2013. Overall responses were weighted to adjust for stratified sampling. Chi-square tests compared categorical variables. RESULTS Overall response rate was 34% (380 eligible responses). Among all respondents, 57% reported that all new female patients in their practices are routinely asked about GDM history; 62% reported screening women aged 45 years or younger with prior GDM every 1 to 3 years for glucose intolerance; and 42% reported that screening for type 2 diabetes among women with prior GDM is a high or very high priority in their practice. CONCLUSION Because knowing a patient's GDM history is the critical first step in the prevention of progression to type 2 diabetes for women who had GDM, suboptimal screening for both GDM history and subsequent glucose abnormalities demonstrates missed opportunities for identifying and counseling women with increased risk for type 2 diabetes.

7 citations


Authors

Showing all 310 results

NameH-indexPapersCitations
Arthur Reingold9332737653
Shelley M. Zansky43907099
Lee Friedman411066860
Peter F. Buckley381457124
Jennifer Bogner381185403
Reena Oza-Frank21751774
Luis F. Ramirez21342224
Tammy L. Bannerman20255709
Rod Moore17341437
John D. Paulson1732786
Mary DiOrio16221091
Edmond A. Hooker1658668
Ellen Salehi15221648
Paul F. Granello1432530
Laurie M Billing14292407
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
202133
202022
201916
201816
201716