Medicine and Health Sciences Commons^™

Statin Utilization And Cardiovascular Outcomes In A Real-World Primary Prevention Cohort Of Older Adults, Aaron J. Walker, Jianhui Zhu, Floyd Thoma, Oscar Marroquin, Amber Makani, Martha Gulati, Eugenia Gianos, Salim S. Virani, Fatima Rodriguez, Steven E. Reis, Christie Ballantyne

Office of the Provost

Background: Statins are a cost-effective therapy for prevention of atherosclerotic cardiovascular disease (ASCVD). Guidelines on statins for primary prevention are unclear for older adults (>75 years).
Objective: Investigate statin utility in older adults without ASCVD events, by risk stratifying in a large healthcare network.
Methods: We included 8,114 older adults, without CAD, PVD or ischemic stroke. Statin utilization based on ACC/AHA 10-year ASCVD risk calculation, was evaluated in intermediate (7.5%-19.9%) and high-risk patients (≥ 20%); and categorized using low and 'moderate or high' intensity statins with a follow up period of ∼7 years. Cox regression models were used to …

Prediction Of Cardiovascular Risk Factors From Retinal Fundus Photographs: Validation Of A Deep Learning Algorithm In A Prospective Non-Interventional Study In Kenya, Tom White, Viknesh Selvarajah, Fredrik Wolfhagen, Nils Svangård, Gayathri Mohankumar, Peter Fenici, Kathryn Rough, Nelson Onyango, Mansoor Saleh, Innocent Abayo

Haematology and Oncology, East Africa

Aim: Hypertension and diabetes mellitus (DM) are major causes of morbidity andmortality, with growing burdens in low-income countries where they are underdiag-nosed and undertreated. Advances in machine learning may provide opportunities toenhance diagnostics in settings with limited medical infrastructure.

Materials and Methods: A non-interventional study was conducted to develop andvalidate a machine learning algorithm to estimate cardiovascular clinical and labora-tory parameters. At two sites in Kenya, digital retinal fundus photographs were col-lected alongside blood pressure (BP), laboratory measures and medical history. Theperformance of machine learning models, originally trained using data from the UKBiobank, were evaluated for their ability to estimate …

Differing Radiation Exposure In Scrub Technicians And Rotating Staff In Cardiac Catheterization Laboratory: Occupation Matters, Nasir Rahman, Maleeha Javed, Ghufran Adnan, Maria Khan, Zeenat Nizar, Izat Shah

Section of Cardiology

Background: Radiation exposure is a significant hazard associated with invasive Cardiology, with most studies based on primary operator exposure. This prospective, observational study aimed to find out over lead radiation exposure as effective dose acquired by non-physician staff comprising scrub technicians and rotating staff in the cath laboratory. Effective dose (ED) measured per procedure via Raysafe i2®dosimeter badges worn by both rotating staff and scrub technicians over lead aprons along with dose area product (DAP), fluoroscopy time (FT) and procedure time (PT) in minutes was collected prospectively over forty-six invasive Cardiology procedures.
Results: This study shows that rotating staff acquire …

Association Of Cardiovascular Risk Profile With Premature All-Cause And Cardiovascular Mortality In Us Adults: Findings From A National Study, Ryan T. Nguyen, Vardhmaan Jain, Isaac Acquah, Safi U. Khan, Tarang Parekh, Mohamad Taha, Salim S. Virani, Michael J. Blaha, Khurram Nasir, Zulqarnain Javed Zulqarnain Javed

Office of the Provost

Objective: To assess the association between cardiovascular risk factor (CRF) profile and premature all-cause and cardiovascular disease (CVD) mortality among US adults (age < 65).
Methods: This study used data from the National Health Interview Survey from 2006 to 2014, linked to the National Death Index for non-elderly adults aged < 65 years. A composite CRF score (range = 0-6) was calculated, based on the presence or absence of six established cardiovascular risk factors: hypertension, diabetes, hypercholesterolemia, smoking, obesity, and insufficient physical activity. CRF profile was defined as "Poor" (≥ 3 risk factors), "Average" (1-2), or "Optimal" (0 risk factors). Age-adjusted mortality rates (AAMR) were reported across CRF profile categories, separately for all-cause and CVD mortality. Cox proportional hazard models were used to evaluate the association between CRF profile and all-cause and CVD mortality.
Results: Among 195,901 non-elderly individuals (mean age: 40.4 ± 13.0, 50% females and 70% Non-Hispanic (NH) White adults), 24.8% had optimal, 58.9% average, and 16.2% poor CRF profiles, respectively. Participants with poor CRF profile were more likely to be NH Black, have lower educational attainment and lower income compared to those with …

Prediction Of Major Adverse Cardiac Events In The Emergency Department Using An Artificial Neural Network With A Systematic Grid Search, Ahmed Raheem Buksh, Nadeem Ullah Khan, Rida Jawed, Shahan Waheed, Musa Karim

Department of Emergency Medicine

Background: The aim of our research was to design and evaluate an Artificial Neural Network (ANN) model using a systemic grid search for the early prediction of major adverse cardiac events (MACE) among patients presenting to the triage of an emergency department.
Methods: This is a single-center, cross-sectional study using electronic health records from January 2017 to December 2020. The research population consists of adults coming to our emergency department triage at Aga Khan University Hospital. The MACE during hospitalization was the main outcome. To enhance the architecture of an ANN using triage data, we used a systematic grid search …