Browsing by Subject "Cardiovascular disease"
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Item 4405 Chronic Disease in Indiana – Using a Community Health Matrix to Determine Health Factors for Indiana Counties(Cambridge University Press, 2020-07-29) Wiehe, Sarah; Zych, Aaron; Hinshaw, Karen; Alley, Ann; Claxton, Gina; Savaiano, Dennis; Pediatrics, School of MedicineOBJECTIVES/GOALS: The goal of this project was to inform four chronic disease initiatives, working together on the team Connections IN Health, and counties in Indiana on certain areas of need to assist them in collaborative planning. The chronic diseases focused on include diabetes, cardiovascular disease, stroke, asthma, lung cancer and obesity. METHODS/STUDY POPULATION: Chronic disease health outcomes and social determinants of health indicators were identified in all 92 Indiana counties. Counties were compared by composite z scores in a matrix to determine the 23 counties with the poorest health statistics for diabetes, cardiovascular disease, stroke, asthma, lung cancer, obesity and life expectancy. Qualitative data were used to identify local health coalitions that have the capacity and desire to work with Connections IN Health to improve these health outcomes. With input from partners, the counties were narrowed to 10 that were identified as those with the most need in the specific areas of chronic disease that the initiatives focus on. The team will begin listening sessions with two of these counties to identify strategic partnerships, funding sources, and evidence-based programs to address community-identified health priorities. RESULTS/ANTICIPATED RESULTS: The 23 counties with the poorest health outcomes related to chronic disease and factors were Blackford, Clark, Clay, Fayette, Fulton, Grant, Greene, Howard, Jay, Jennings, Knox, Lake, LaPorte, Madison, Marion, Pike, Scott, Starke, Sullivan, Vanderburgh, Vermillion, Vigo, and Washington. There was significant overlap in low z score rankings for individual health and social determinants of health measures among these 23 counties. The following 10 counties were selected for focus in the next five years based on partner input: Blackford, Clay, Grant, Jennings, Lake, Madison, Marion, Starke, Vermillion, and Washington. The Connections IN Health team has initiated listening sessions in Grant and Vermillion Counties (with data for presentation at the ACTS meeting). DISCUSSION/SIGNIFICANCE OF IMPACT: This mixed methods approach using existing data and partner input on county capacity/readiness directed Connections IN Health to counties with the most need for coalition efforts. Engagement within each county will inform next steps (e.g., capacity building, partnership development, applications for funding, implementation of evidence-based programs) and specific health focus area(s).Item Addressing Inequities in Cardiovascular Disease and Maternal Health in Black Women(American Heart Association, 2021) Cortés, Yamnia I.; Breathett, Khadijah; Medicine, School of MedicineItem Anti-Vasculogenic Effect of Mycophenolic Acid(2018-10) Go, Ellen Lao; O'Neil, Kathleen M.; Yoder, Mervin C.; Paczesny, SophieItem APOL1 G3 variant is associated with cardiovascular mortality and sudden cardiac death in patients receiving maintenance hemodialysis of European Ancestry(Karger, 2022) Schwantes-An, Tae-Hwi; Robinson-Cohen, Cassianne; Liu, Sai; Zheng, Neil; Stedman, Margaret; Wetherill, Leah; Edenberg, Howard J.; Vatta, Matteo; Foroud, Tatiana M.; Chertow, Glenn M.; Moe, Sharon M.; Medical and Molecular Genetics, School of MedicineIntroduction: The G1 and G2 variants in the APOL1 gene convey high risk for the progression of chronic kidney disease in African Americans. The G3 variant in APOL1 is more common in patients of European ancestry (EA); outcomes associated with this variant have not been explored previously in EA patients receiving dialysis. Methods: DNA was collected from approximately half of the patients enrolled in the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) trial and genotyped for the G3 variants. We utilized an additive genetic model to test associations of G3 with the EVOLVE adjudicated endpoints of all-cause mortality, cardiovascular mortality, sudden cardiac death (SCD), and heart failure. EA and African ancestry samples were analyzed separately. Validation was done in the Vanderbilt BioVU using ICD codes for cardiovascular events that parallel the adjudicated endpoints in EVOLVE. Results: In EVOLVE, G3 in EA patients was associated with the adjudicated endpoints of cardiovascular mortality and SCD. In a validation cohort from the Vanderbilt BioVU, cardiovascular events and cardiovascular mortality defined by ICD codes showed similar associations in EA participants who had been on dialysis for 2 to <5 years. Discussion/conclusions: G3 in APOL1 variant was associated with cardiovascular events and cardiovascular mortality in the EA patients receiving dialysis. This suggests that variations in the APOL1 gene that differ in populations of different ancestry may contribute to cardiovascular disease.Item Are Cardiovascular Risk Factors Stronger Predictors of Incident Cardiovascular Disease in U.S. Adults With Versus Without a History of Clinical Depression?(Oxford University Press, 2018-12) Polanka, Brittanny M.; Berntson, Jessica; Vrany, Elizabeth A.; Stewart, Jesse C.; Psychology, School of ScienceBackground Several mechanisms underlying the depression-to-cardiovascular disease (CVD) relationship have been proposed; however, few studies have examined whether depression promotes CVD through potentiating traditional cardiovascular risk factors. Purpose To test the combined influence of three cardiovascular risk factors and lifetime depressive disorder on incident CVD in a large, diverse, and nationally representative sample of U.S. adults. Methods Respondents were 26,840 adults without baseline CVD who participated in Waves 1 (2001–2002) and 2 (2004–2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. Lifetime depressive disorder, tobacco use, hypertension, and incident CVD were determined from structured interviews, and body mass index (BMI) was computed from self-reported height and weight. Results Logistic regression models predicting incident CVD (1,046 cases) revealed evidence of moderation, as the interactions between lifetime depressive disorder and current tobacco use (p = .002), hypertension (p < .001), and BMI (p = .031) were significant. The Former Tobacco Use × Lifetime Depressive Disorder interaction was not significant (p = .85). In models stratified by lifetime depressive disorder, current tobacco use (OR = 1.78, 95% CI = 1.36–2.32, p < .001 vs. OR = 1.41, 95% CI = 1.24–1.60, p < .001), hypertension (OR = 2.46, 95% CI = 1.98–3.07, p < .001 vs. OR = 1.39, 95% CI = 1.28–1.51, p < .001), and BMI (OR = 1.10, 95% CI = 1.01–1.20, p = .031 vs. OR = 1.03, 95% CI = 0.99–1.07, p = .16) were stronger predictors of incident CVD in adults with versus without a lifetime depressive disorder. Conclusions Our findings suggest that amplifying the atherogenic effects of traditional cardiovascular risk factors may be yet another candidate mechanism that helps to explain the excess CVD risk of people with depression.Item Assessment and management of comorbidities (including cardiovascular disease) in patients with nonalcoholic fatty liver disease(Wiley, 2012-09-25) Corey, Kathleen E.; Vuppalanchi, Raj; Medicine, School of MedicineNonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease worldwide. Nonalcoholic steatohepatitis, the progressive form of NAFLD, can lead to end‐stage liver disease and hepatocellular carcinoma. However, the consequences of NAFLD are not confined to the liver. NAFLD is associated with an increased risk of cardiovascular disease (CVD) and is frequently associated with metabolic syndrome. Thus, there is a pressing need for the diagnosis and management of the comorbidities of NAFLD, including CVD. This review will guide clinicians in the assessment and management of metabolic disease and CVD in patients with NAFLD.Item Association between Cardiovascular Disease and Cognitive Dysfunction in Breast Cancer Survivors(Wolters Kluwer, 2023) Von Ah, Diane; Crouch, Adele; Arthur, Elizabeth; Yang, Yesol; Nolan, Timiya; School of NursingBackground: Breast cancer survivors (BCS) may have a greater risk for cardiovascular disease [congestive heart failure (CHF) and hypertension (HTN)], which in turn, can affect cognitive dysfunction, a frequent, bothersome, and potentially debilitating symptom. Objective: The purpose of this study was to examine the relationship of cardiovascular disease on cognitive function in BCS. Methods: Baseline data from a double-blind RCT for cognitive training of BCS were examined. Early stage BCS (Stage I-IIIA) who were ≥21 years of age, completed adjuvant therapy (≥ 6 months), and reported cognitive concerns completed questionnaires and a brief neuropsychological assessment, including tests of memory, attention and working memory, speed of processing, and verbal fluency. Descriptive statistics, Pearson’s correlation coefficient and separate linear regression models for each cognitive domain were conducted. Results: 47 BCS, who were on average 57.3 (SD=8.1) years old, 58% White and had some college education (75%), completed the study. 44.7% of the BCS had cardiovascular disease (CHF or HTN). In linear regression models, cardiovascular disease was significantly related to immediate and delayed memory and attention and working memory (p<0.01–0.05). Conclusions: BCS who have cardiovascular disease may also be at a greater risk for cognitive dysfunction post-treatment. Results from this study inform both clinical practice and future research, specifically by examining the intersect between cancer, cardiovascular disease (cardiotoxicity), and cognition. Implications for Practice: Nurses should be aware that BCS with co-occurring cardiovascular disease are at higher risk for cognitive dysfunction, and work within the multidisciplinary team to optimize BCS health and function.Item Association Between Social Vulnerability Index and Cardiovascular Disease: A Behavioral Risk Factor Surveillance System Study(American Heart Association, 2022) Jain, Vardhmaan; Al Rifai, Mahmoud; Khan, Safi U.; Kalra, Ankur; Rodriguez, Fatima; Samad, Zainab; Pokharel, Yashashwi; Misra, Arunima; Sperling, Laurence S.; Rana, Jamal S.; Ullah, Waqas; Medhekar, Ankit; Virani, Salim S.; Medicine, School of MedicineBackground: Social and environmental factors play an important role in the rising health care burden of cardiovascular disease. The Centers for Disease Control and Prevention developed the Social Vulnerability Index (SVI) from US census data as a tool for public health officials to identify communities in need of support in the setting of a hazardous event. SVI (ranging from a least vulnerable score of 0 to a most vulnerable score of 1) ranks communities on 15 social factors including unemployment, minoritized groups status, and disability, and groups them under 4 broad themes: socioeconomic status, housing and transportation, minoritized groups, and household composition. We sought to assess the association of SVI with self‐reported prevalent cardiovascular comorbidities and atherosclerotic cardiovascular disease (ASCVD). Methods and Results: We performed a retrospective cohort analysis of adults (≥18 years) in the Behavioral Risk Factor Surveillance System 2016 to 2019. Data regarding self‐reported prevalent cardiovascular comorbidities (including diabetes, hypertension, hyperlipidemia, smoking, substance use), and ASCVD was captured using participants' response to a structured telephonic interview. We divided states on the basis of the tertile of SVI (first—participant lives in the least vulnerable group of states, 0–0.32; to third—participant lives in the most vulnerable group of states, 0.54–1.0). Multivariable logistic regression models adjusting for age, race and ethnicity, sex, employment, income, health care coverage, and association with federal poverty line were constructed to assess the association of SVI with cardiovascular comorbidities. Our study sample consisted of 1 745 999 participants ≥18 years of age. States in the highest (third) tertile of social vulnerability had predominantly Black and Hispanic adults, lower levels of education, lower income, higher rates of unemployment, and higher rates of prevalent comorbidities including hypertension, diabetes, chronic kidney disease, hyperlipidemia, substance use, and ASCVD. In multivariable logistic regression models, individuals living in states in the third tertile of SVI had higher odds of having hypertension (odds ratio (OR), 1.14 [95% CI, 1.11–1.17]), diabetes (OR, 1.12 [95% CI, 1.09–1.15]), hyperlipidemia (OR, 1.09 [95% CI, 1.06–1.12]), chronic kidney disease (OR, 1.17 [95% CI, 1.12–1.23]), smoking (OR, 1.05 [95% CI, 1.03–1.07]), and ASCVD (OR, 1.15 [95% CI, 1.12–1.19]), compared with those living in the first tertile of SVI. Conclusions: SVI varies across the US states and is associated with prevalent cardiovascular comorbidities and ASCVD, independent of age, race and ethnicity, sex, employment, income, and health care coverage. SVI may be a useful assessment tool for health policy makers and health systems researchers examining multilevel influences on cardiovascular‐related health behaviors and identifying communities for targeted interventions pertaining to social determinants of health.Item Associations between affective factors and high-frequency heart rate variability in primary care patients with depression(Elsevier, 2022-10) Shell, Aubrey L.; Gonzenbach , Virgilio; Sawhney , Manisha; Crawford, Christopher A.; Stewart, Jesse C.; Psychology, School of ScienceObjective Depression is a risk factor for cardiovascular disease (CVD), and subgroups of people with depression may be at particularly elevated CVD risk. Lower high-frequency heart rate variability (HF HRV), which reflects diminished parasympathetic activation, is a candidate mechanism underlying the depression-CVD relationship and predicts cardiovascular events. Few studies have examined whether certain depression subgroups – such as those with co-occurring affective factors – exhibit lower HF HRV. The present study sought to assess associations between co-occurring affective factors and HF HRV in people with depression. Methods Utilizing baseline data from the 216 primary care patients with depression in the eIMPACT trial, we examined cross-sectional associations of depression's co-occurring affective factors (i.e., anxiety symptoms, hostility/anger, and trait positive affect) with HF HRV. HF HRV estimates were derived by spectral analysis from electrocardiographic data obtained during a supine rest period. Results Individual regression models adjusted for demographics and depressive symptoms revealed that anxiety symptoms (standardized regression coefficient β = −0.24, p = .002) were negatively associated with HF HRV; however, hostility/anger (β = 0.02, p = .78) and trait positive affect (β = −0.05, p = .49) were not. In a model further adjusted for hypercholesterolemia, hypertension, diabetes, body mass index, current smoking, CVD prevention medication use, and antidepressant medication use, anxiety symptoms remained negatively associated with HF HRV (β = −0.19, p = .02). Conclusion Our findings suggest that, in adults with depression, those with comorbid anxiety symptoms have lower HF HRV than those without. Co-occurring anxiety may indicate a depression subgroup at elevated CVD risk on account of diminished parasympathetic activation.Item Barriers and Facilitators to Nurse Management of Hypertension: A Qualitative Analysis from Western Kenya(International Society on Hypertension in Blacks, 2016-07-21) Vedanthan, Rajesh; Tuikong, Nelly; Kofler, Claire; Blank, Evan; Naanyu, Violet; Kimaiyo, Sylvester; Inui, Thomas S.; Horowitz, Carol R.; Fuster, Valentin; Kimaiyo, Jemima H.; Department of Medicine, IU School of MedicineBACKGROUND: Hypertension is the leading global risk for mortality. Poor treatment and control of hypertension in low- and middle-income countries is due to several reasons, including insufficient human resources. Nurse management of hypertension is a novel approach to address the human resource challenge. However, specific barriers and facilitators to this strategy are not known. OBJECTIVE: To evaluate barriers and facilitators to nurse management of hypertensive patients in rural western Kenya, using a qualitative research approach. METHODS: Six key informant interviews (five men, one woman) and seven focus group discussions (24 men, 33 women) were conducted among physicians, clinical officers, nurses, support staff, patients, and community leaders. Content analysis was performed using Atlas.ti 7.0, using deductive and inductive codes that were then grouped into themes representing barriers and facilitators. Ranking of barriers and facilitators was performed using triangulation of density of participant responses from the focus group discussions and key informant interviews, as well as investigator assessments using a two-round Delphi exercise. RESULTS: We identified a total of 23 barriers and nine facilitators to nurse management of hypertension, spanning the following categories of factors: health systems, environmental, nurse-specific, patient-specific, emotional, and community. The Delphi results were generally consistent with the findings from the content analysis. CONCLUSION: Nurse management of hypertension is a potentially feasible strategy to address the human resource challenge of hypertension control in low-resource settings. However, successful implementation will be contingent upon addressing barriers such as access to medications, quality of care, training of nurses, health education, and stigma.