Creative financing & strategies for mixed-income transit oriented development in Dallas, Texas

textThis study evaluates the current environment for mixed-income transit oriented development along DART rail within the city limits of Dallas. A close look at income and racial disparity is used as the foundation for advocating for a more proactive and aggressive approach to the development of affordable units proximate to affordable transportation choices. Assembling financing for mixed-income TOD projects is especially challenging, and multiple layers of federal, state, and city funding mechanisms are required for achieving the capital requirements of the development. Both typical affordable housing funding methods and new and nontraditional funding methods for multifamily housing were researched and evaluated with the intention to propose possibilities for catalyzing development in DART station areas within the City of Dallas that have, to this point, experienced underdevelopment.Community and Regional Plannin

Nicorandil in patients with acute coronary syndrome and stable angina undergoing Percutaneous Coronary Intervention: literature review

Percutaneous coronary intervention is an option for the treatment of coronary artery disease such as acute coronary syndrome and stable angina.Acute coronary syndrome has two groups including acute myocardial infarction and unstable angina.Periprocedural myocardial infarction is a frequent and prognostically important complication of percutaneous coronary intervention and can be easily monitored by measuring myocardial enzymes. Coronary microvascular dysfunction in patients undergoing primary percutaneous coronary intervention for the treatment of ST-segment elevation myocardial infarction is associated with poor prognosis. Even after recanalization, reperfusion injury often occurs including no-reflow or slow-flow in which sufficient myocardial blood flow cannot be obtained and results in a poor outcome of cardiac function in the long term.Nicorandil is the opener of the adenosine triphosphate-sensitive potassium channel and is known to have an antiarrhythmic effect and myocardial protective functions such as reduction of the coronary microvascular resistance by relaxing the smooth muscles of blood vessesl and preconditioning.In this literature review, we evaluate articles about acute coronary syndrome and stable angina undergoing PCI.

Effects of Nicorandil on the Clinical and Laboratory Outcomes of Unstable Angina Patients after Coronary Angioplasty

Introduction: Ischemic preconditioning mediated by potassium channels is a physiological protective mechanism, . It is hypothesized that Nicorandil, which is a potassium channel activator, could protect the heart via preconditioning. Materials and Methods:This clinical trial was conducted on 162 patients undergoing percutaneous coronary intervention (PCI) in Quem hospital, from Jan2013 to Jan 2014,patients  divided into two groups. The first group received standard treatment plus Nicorandil (10 mg, twice daily) for three days before and after angioplasty. The second group received standard treatment after PCI. Results: Cardiac enzyme levels were significantly lower in the Nicorandil group at 6 and 12 hours after angioplasty,(p value=0.001) while no significant differences were observed in the symptoms and four-month prognosis of the study groups(p value=0.8). Conclusion:It is recommended that a randomized clinical trial be conducted for the close evaluation of the effects of Nicorandil on unstable angina patients

Surveying the Effect of Opioid Abuse on the Extent of Coronary Artery Diseases in Diabetic Patients

Background. Diabetes mellitus is recognized as one of the most common, serious, and costly chronic diseases. Opium addiction is also a common health problem in Iran. Given the high prevalence of opium use in South Khorasan Province and the increasing prevalence of opioid abuse in the community, this study was performed to investigate the effect of opioid abuse on the extent of disease in diabetic patients undergoing coronary angiography in the cardiology department of Vali-e-Asr Hospital in Birjand city, South Khorasan Province, Iran. Methods. This study recruited a total of 1051 diabetic patients who underwent coronary angiography in the cardiology department of Vali-e-Asr Hospital of Birjand city from 2011 to 2015. The collected data were analyzed using SPSS version 22.0 with the chi-square test and univariate regression analysis. P value <0.05 was considered as statistically significant. Results. Among opiate-addicted diabetics, the risk of coronary artery disease was 0.44 times higher than among nonaddicted diabetics (range 0.24–0.77, P=0.004). The extent of coronary vessel involvement, when present, was not different between the two groups. Conclusion. Opiate-addicted diabetics appear to be more susceptible to CAD than their nonaddicted counterparts. The determinants and correlates of this interaction must be the subject of further study

Which risk factor best predicts coronary artery disease using artificial neural network method?

Abstract Background Coronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD. Methods The research data were obtained from a multi-center study, namely the Iran-premature coronary artery disease (I-PAD). The current study used the medical records of 415 patients with CAD hospitalized in Razi Hospital, Birjand, Iran, between May 2016 and June 2019. A total of 43 variables that affect CAD were selected, and the relevant data was extracted. Once the data were cleaned and normalized, they were imported into SPSS (V26) for analysis. The present study used the ANN technique. Results The study revealed that 48% of the study population had a history of CAD, including 9.4% with premature CAD and 38.8% with CAD. The variables of age, sex, occupation, smoking, opium use, pesticide exposure, anxiety, sexual activity, and high fasting blood sugar were found to be significantly different among the three groups of CAD, premature CAD, and non-CAD individuals. The neural network achieved success with five hidden fitted layers and an accuracy of 81% in non-CAD diagnosis, 79% in premature diagnosis, and 78% in CAD diagnosis. Anxiety, acceptance, eduction and gender were the four most important factors in the ANN model. Conclusions The current study shows that anxiety is a high-prevalence risk factor for CAD in the hospitalized population. There is a need to implement measures to increase awareness about the psychological factors that can be managed in individuals at high risk for future CAD