Ngufor, Che

Abstract Background: Sub-Saharan African immigrants (SSAI) in the United States (US) constitute one of the fastest-growing segments of the immigrant population. Between 2010 and 2018, the SSAI population in the US increased by 53%, significantly outpacing the 12% growth rate for the overall foreign-born population in the US during that time frame. For the purposes of this study, we define SSAI as the 2 million individuals living in the US originally from the region of the African continent located south of the Saharan desert. Despite their growing numbers, little is published about the extent to which SSAI adapt to health behaviors more common in the US or remain immersed in the values, beliefs and practices reflective of their country of origin. Importantly, no study has comprehensively examined the social determinants of health factors among this population and its influence on health-seeking behaviors and decision-making regarding prostate cancer care and treatment options. This study employs the social determinant of migrant health framework to examine the impact of immigration on the health-seeking behaviors of SSAI including informed-decision making, psychosocial effects and coping mechanisms. This study will fill the void of research studies that link social determinant of health and immigration among SSAI. Methods: Grounded theory will guide the study design that include in-depth interviews to document the experiences of SSAI relative to health seeking behaviors, care, and treatment. We explore differences and similarities among participants based on country or region of origin in Africa. We employ the social determinants of migrant health framework to better understand the needs of SSAI prostate cancer survivors in the United States and how to effectively support these survivors. Results: We will present findings based on preliminary interviews conducted with SSAI prostate cancer survivors recruited from Florida or Minnesota. Additionally, we will report on the development of a SSAI social determinant of migration model that explains individual and structural factors that impact the health-seeking behaviors and coping mechanisms among this population. We will provide new understanding about specific social determinant of health factors that can be addressed in intervention studies among SSAI in the United States. Conclusion: This study examines the full range of racial, social, environmental, behavioral and structural factors that SSAI prostate cancer survivors experience. It will illuminate the decision-making process and overall quality of care among this understudied population. Citation Format: Ernie Kaninjing, Gladys Asiedu, Mary Ellen Young, Ebenezer Erefah, Folakemi Odedina, Roxana Dronca, Kimlin Ashing, Solomon Rotimi, Che Ngufor, Arnold Merriweather, Jennifer Crook, Manisha Salinas, Parisa Fathi, Sha’Reff Rashad, John McCall, Ayinde Yahaya. The iCCARE consortium for prostate cancer in Black men: Grounded theory study of the social determinant of health factors among African immigrant men diagnosed with prostate cancer [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr B050.

Abstract Background: Black men across the world continue to bear the burden of prostate cancer (PCa). Although several factors account for this, studies have demonstrated that the adaptive constitutive biological factors associated with African ancestry contribute to the risk of disease development, disease aggression, and poor disease outcomes in Black men. However, the limited inclusion of Blacks in cancer biology studies limits the understanding of the extent to which biology influence outcomes among Blacks. Furthermore, beyond White-Black dichotomous disparity, there exists an under-exploited within-group geographical and ancestral disparities in the burden, clinical presentation, and outcomes of PCa among Black men globally. Aside from urological and sexual problems, Black PCa survivors experience poor mental health, with a concomitant reduction in the quality of life and overall survival. Hence, improving the overall well-being of PCa survivors requires an understanding of the biological determinants of mental health among diverse groups of Black PCa survivors. Methods: Structured questionnaires are being used to access fatigue, pain, depressive symptoms, health-related quality of life, and PCa-specific symptoms burden among within a cohort of ethnically diverse Black PCa survivors in Africa. This is linked with the salivary biomarkers of inflammation, hypothalamic-pituitary-adrenal axis activity, and tryptophan-kynurenine pathway in our studies population. Results: Data from fifty PCa survivors across different African ethnic groups (including, Yoruba, Igbo, Hausa) will be presented. This study will measure biological variables (e.g, inflammatory markers, cortisol, tryptophan, kynurenine, and serotonin) and survivors self-reported (e.g. health-related quality of life and psychoneurological symptoms) measures to better examine the interconnectedness between cancer-associated biomarkers and poor mental health. Conclusion: This study will lay an essential foundation for understanding the extent to which cancer associated-biological determinants contribute to the poor mental health of PCa survivors, unravels the within-group disparities in the mental health of Black PCa survivors, establish the contribution of genetics to poor mental health in Black PCa survivors and provide the opportunity for pharmacogenomic intervention that will improve the quality of life. Citation Format: Solomon O. Rotimi, Folakemi Odedina, Roxana Dronca, Kimlin Ashing, Ernest Kaninjing, Che Ngufor, Arnold Merriweather, Jennifer Crook, Manisha Salinas, Fathi Parisa, Sha’Reff Rashad, John McCall, Ebenezer Erefah, Ayinde Yahaya. Investigating the biological determinants of poor mental health among ethnically diverse Black prostate cancer survivors: An iCCaRE consortium for prostate cancer in Black men project [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr A045.

Abstract Background: The prostate cancer (CaP) disparities experienced by Black men (BM) in the US is a microcosm of the burden of CaP seen in BM globally. The complexity of CaP disparities and the need for a unique approach to better understand and address a complex chronic disease, such as CaP, underscores the need for consortium research that is multilevel, collaborative, translational, and global. In response to this need, we brought together CaP survivors, advocates, scientists and clinicians to form the inclusive Cancer Care Research Equity (iCCaRE) for Black Men Consortium. Aim: Our overall goal is to optimize CaP diagnosis experiences, treatment and survivorship based on the Science of Survivorship (S.O.S). Our primary aim was to develop a consortium co-led by CaP scientists and survivors with multiple S.O.S research projects supported by research cores/services across multiple institutions. Methodology: The consortium was developed to comprise multiple individuals with complementary expertise and resources working collaboratively to achieve the common purpose of eliminating CaP disparities globally. Building on the expertise, resources, and relationships of collaborating CaP investigators, survivors and advocates, the iCCaRE Consortium was proposed to “advance health equity and reduce disparities in CaP” by studying the within-group differences among ethnically diverse BM and comparing US-born BM to their ancestral populations, including West African immigrant men in the US and indigenous West African men. Results: Through the Department of Defense Health Equity Research and Outcomes Improvement Consortium (HEROIC) Award, the iCCaRE Consortium was launched in 2022. There are five pilot projects (PPs), each co-led by a scientist PI and community PI: PP1 will plan and develop a Virtual Robot Assistant (ViRA) that will provide SDOH navigation services, psycho-oncology support and emotional support for BM newly diagnosed with CaP. PP2 will develop and analyze the impact of a patient-centered home cancer care system on health-related Quality of Life (HRQOL), access to healthcare, and PROs. PP3 will plan and develop a ViRA to improve HRQOL in Black CaP survivors. PP4 will employ the social determinants of migrant health framework to understand and address the needs of sub-Saharan African immigrant CaP survivors. PP5 will explore how biological factors induced by cancer cells contribute to poor mental health of CaP survivors. The PPs are supported by an Administrative Core, Translational Research & Clinical Intervention Service, Data Management and Analytics Services, Partnership Engagement Services, Pathology Resource & Biospecimen Core, Methodology and Measures Services and Digital Health & Human Services. Conclusion: The iCCaRE Consortium will “improve HRQOL to enhance outcomes and overall health and wellness for those impacted by CaP” by developing and implementing Artificial Intelligence interventions that address social determinants of health, psycho-oncology support and emotional support for newly diagnosed CaP patients. Citation Format: Folakemi Odedina, Roxana Dronca, Kimlin Ashing, Ernest Kaninjing, Solomon Rotimi, Che Ngufor, Arnold Merriweather, Jennifer Crook, Manisha Salinas, Fathi Parisa, Sha’Reff Rashad, John McCall, Ebenezer Erefah, Ayinde Yahaya. Addressing prostate cancer disparities through the Inclusive Cancer Care Research Equity (iCCaRE) for Black men consortium [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr A042.

Abstract Background: Globally, Black men suffer the greatest prostate cancer (CaP) burden. Blacks are diagnosed more at advanced stages of CaP, greater morbidity and mortality and poorer survivorship outcomes. Blacks are exposed to adverse, discriminatory societal determinants. How these determinants impact the CaP disparities, in particular survivorship and health related quality of life inequities are understudied. Studies examining patient-reported outcomes of Black CaP survivors reveal heightened negative HRQOL sequelae, and depression, family, work and living situation instability due to cancer treatment and societal determinants of health (SDOH). SDOH is used mostly in Public Health to predict population health risk and outcomes, but rarely integrated into HRQOL research and practice. This project is novel by incorporating SDOH into the assessment and relief of HRQOL threats. Despite the Black CaP disparities in survivorship, there remains unacceptable lack of focus and prioritization to provide comprehensive relief. Methods: In response to this noticeable scientific gap, our requisite multidisciplinary investigatory team including Survivor-Advocate Investigators joins forces to achieve the study goal. We are employing community engaged research practice to create a CaP survivorship care plan (SCP) template targeted to Blacks. Our SCP will provide a comprehensive best-practice roadmap to document medical information with treatment history and status, along with relevant resources and health advisories to provide relief for unfavorable sequalae due to cancer and its treatments as well as improve quality of life for CaP survivors. We are building upon the Science of Survivorship, and Contextual Socioecological and the Behavioral Precision Medicine Models with full survivor-advocate partnership to create the SCP. This project to develop a SCP template employs an informative consensus panel to inform the initial SCP. Results: Based on advocate-survivor input and guidance, the SCP will include resources and tools focused on SDOH, treatment adherence, treatment side effects and symptom relief, co-occurring chronic conditions, cardio-protective strategies, and physical, emotional and social wellbeing towards improving in patient outcomes and HRQOL in Black CaP survivors. Data from the Engagement Core and Survivor-Advocate Community Advisory Board, and the preliminary SCP CaP for Black men will be presented at the meeting. Conclusion: Our Consortium builds upon the work of the multidisciplinary PIs, and provide team science approach with robust scientific methods to better understand and address the HRQOL needs of Black CaP survivors. Importantly, this research will make available a patient-centered SCP for CaP survivors, focused on Black men. The iCCaRE Consortium will use this SCP_CaP to inform the development of Artificial Intelligence interventions addressing medical, follow-up care, surveillance, social and emotional support, SDOH and health advisories that will be deployed on popular mobile platforms for greater reach and on-demand use. Citation Format: Kimlin T. Ashing, Folakemi T. Odedina, Cassandra N. Moore, Che Ngufor, Getachew A. Dagne, Fornati Bedell, Diana Londoño, John McCall, Arnold Merriweather, JoAnne S. Oliver, Rotimi Rotimi Oladapo. The iCCARE Consortium for Prostate Cancer in Black men: Creating a survivorship care plan for Black prostate cancer survivors [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr A033.

Abstract According to the 2020 report of the American Heart Association’s Heart & Stroke Statistics report, nearly 1,000 people are dying daily because of sudden out-of-hospital cardiac arrests and unfortunately, their survival rate is as low as 10%. Hypertrophic Cardiomyopathy (HCM), a relatively rare genetic heart disease is one of these diseases but finding the right patient for the implantation of ICD is still a research question. Implantation of cardioverter-defibrillator (ICD) can save the life of some of these patients. Due to the complexity of the identification of HCM patients, financial burdens, and the clinical risks involved in the ICD implantation procedure, HCM patients will go into a monitoring state before reaching the implantation trigger. Our study cohort shows about 82% of HCM deaths, did not have an ICD, which highlights the need to improve the pre-screening algorithms. In the current paper, we have proposed a new deep learning-based unsupervised clustering technique to facilitate the prioritization of patients to undergo ICD device implantation. This model uses over 900 echocardiographic measurements to find patients who benefit more from the ICD implantation procedure. Our model was trained and tested over 6 years of echo reports collected at Mayo Clinic. This model can be used as a decision support assistant for cardiologists in finding the right HCM patient when decision-making is hard.

Introduction: Advanced or “Stage D” heart failure (Adv HF) patients are at high risk of poor outcomes. However, recognition of Adv HF is limited as diagnostic criteria are complex. Administrative algorithms to identify Adv HF could enable better understanding of who has advanced HF and lead to enhanced therapeutics development, dissemination, and outcomes. Methods: In a population-based cohort of all Olmsted County, Minnesota residents with ≥1 HF billing code 2007-2017 (n=9881), we identified all patients with Adv HF (n=753) by applying the gold standard European Society of Cardiology Adv HF criteria via manual medical review by a HF cardiologist. The Adv HF index date was the date the patient first met all ESC criteria. We then developed candidate algorithms to identify Adv HF using only administrative data (billing codes and HF prescriptions or comorbidities known to affect HF outcomes), applied them to the entire HF cohort and assessed their ability to identify patients with Adv HF on or after their Adv HF index date. Results: A single hospitalization (Hsp) for HF or ventricular arrhythmias (VA, 2007-2017) identified all patients with Adv HF (sensitivity 100%), but the PPV was low (36.4%). Requiring more Hsp, other signs of Adv HF such as hyponatremia, acute kidney injury, hypotension or high-dose diuretic use decreased the sensitivity but improved specificity and PPV. As Adv HF was relatively uncommon, negative predictive values (NPV) were high regardless of algorithm characteristics. Conclusions: Algorithms using administrative data can identify patients with Adv HF with clinically useful accuracy.

AbstractIntroductionThe efficacy of cardiac resynchronization therapy (CRT) has been widely studied in the medical literature; however, about 30% of candidates fail to respond to this treatment strategy. Smart computational approaches based on clinical data can help expose hidden patterns useful for identifying CRT responders.MethodsWe retrospectively analyzed the electronic health records of 1664 patients who underwent CRT procedures from January 1, 2002 to December 31, 2017. An ensemble of ensemble (EoE) machine learning (ML) system composed of a supervised and an unsupervised ML layers was developed to generate a prediction model for CRT response.ResultsWe compared the performance of EoE against traditional ML methods and the state‐of‐the‐art convolutional neural network (CNN) model trained on raw electrocardiographic (ECG) waveforms. We observed that the models exhibited improvement in performance as more features were incrementally used for training. Using the most comprehensive set of predictors, the performance of the EoE model in terms of the area under the receiver operating characteristic curve and F1‐score were 0.76 and 0.73, respectively. Direct application of the CNN model on the raw ECG waveforms did not generate promising results.ConclusionThe proposed CRT risk calculator effectively discriminates which heart failure (HF) patient is likely to respond to CRT significantly better than using clinical guidelines and traditional ML methods, thus suggesting that the tool can enhanced care management of HF patients by helping to identify high‐risk patients.