Financial Prominence and Financial Conditions: Risk Factors for 21st Century Corporate Financial Securities Fraud in the United States

The emergence of age-related chronic diseases within the United States has led to the direct increase of Alzheimer’s disease (AD) as well as other neurological diseases which ultimately contribute to the development of dementia within the general population. To be specific, age-related chronic diseases such as cardiovascular disease, high cholesterol, diabetes, and kidney disease contribute greatly to the advancement and rapid progression of dementia. Furthermore, unmodifiable risk factors such as advancing age and genetics as well as modifiable risk factors such as socioeconomic status, educational attainment, exercise, and diet further contribute to the development of dementia. Current statistics and research show that minority populations such as Hispanic Americans in the United States face the greatest burden of dementia due to the increase in the prevalence of overall population age, predisposing genetics, age-related chronic diseases, low socioeconomic status, as well as poor lifestyle choices and habits. Additionally, Hispanic Americans living within Texas and the rural areas of West Texas face the added challenge of finding appropriate healthcare services. This article will focus upon the research associated with AD as well as the prevalence of AD within the Hispanic American population of Texas and rural West Texas. Furthermore, this article will also discuss the prevalence of age-related chronic diseases, unmodifiable risk factors, and modifiable risk factors which lead to the progression and development of AD within the Hispanic American population of the United States, Texas, and rural West Texas.

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1665. Using Electronic Health Records to Describe TB in Community Health Settings: a Cohort Analysis in a Large Safety-Net Population

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1843 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S819-S820

Author(s):

Jonathan Todd ◽

Jon Puro ◽

Matthew Jones ◽

Jee Oakley ◽

Laura A Vonnahme ◽

...

Keyword(s):

United States ◽

Risk Factors ◽

Electronic Health Records ◽

Safety Net ◽

The United States ◽

Research Network ◽

Health Records ◽

Treatment Regimens ◽

Data Source ◽

Electronic Health

Abstract Background Over 80% of tuberculosis (TB) cases in the United States are attributed to reactivation of latent TB infection (LTBI). Eliminating TB in the United States requires expanding identification and treatment of LTBI. Centralized electronic health records (EHRs) are an unexplored data source to identify persons with LTBI. We explored EHR data to evaluate TB and LTBI screening and diagnoses within OCHIN, Inc., a U.S. practice-based research network with a high proportion of Federally Qualified Health Centers. Methods From the EHRs of patients who had an encounter at an OCHIN member clinic between January 1, 2012 and December 31, 2016, we extracted demographic variables, TB risk factors, TB screening tests, International Classification of Diseases (ICD) 9 and 10 codes, and treatment regimens. Based on test results, ICD codes, and treatment regimens, we developed a novel algorithm to classify patient records into LTBI categories: definite, probable or possible. We used multivariable logistic regression, with a referent group of all cohort patients not classified as having LTBI or TB, to identify associations between TB risk factors and LTBI. Results Among 2,190,686 patients, 6.9% (n=151,195) had a TB screening test; among those, 8% tested positive. Non-U.S. –born or non-English–speaking persons comprised 24% of our cohort; 11% were tested for TB infection, and 14% had a positive test. Risk factors in the multivariable model significantly associated with being classified as having LTBI included preferring non-English language (adjusted odds ratio [aOR] 4.20, 95% confidence interval [CI] 4.09–4.32); non-Hispanic Asian (aOR 5.17, 95% CI 4.94–5.40), non-Hispanic black (aOR 3.02, 95% CI 2.91–3.13), or Native Hawaiian/other Pacific Islander (aOR 3.35, 95% CI 2.92–3.84) race; and HIV infection (aOR 3.09, 95% CI 2.84–3.35). Conclusion This study demonstrates the utility of EHR data for understanding TB screening practices and as an important data source that can be used to enhance public health surveillance of LTBI prevalence. Increasing screening among high-risk populations remains an important step toward eliminating TB in the United States. These results underscore the importance of offering TB screening in non-U.S.–born populations. Disclosures All Authors: No reported disclosures

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