Lead Investigator: Jiro McKinnis, Virror Health
Title of Proposal Research: Associative Analysis of Comorbidities and Clinical Variables with Concomitant Presence of CHF in Patients Undergoing Cardiac Catheterization
Vivli Data Request: 9284
Funding Source: The lead researcher is an employee of Virror Health, as described in the conflict of interest section.
Potential Conflicts of Interest: The lead researcher/statistician is an employee of Virror Health, and this research is being conducted to contribute to the development of a product within Virror Health. There are no other financial or non-financial conflicts of interest.
This conflict of interest will be managed via the following methods:
Independent review: Any conclusion or analyses drawn from the data will be subject to independent review to ensure objectivity.
Transparency: All methods and analyses will be documented transparently and made available to independent review if necessary.
Interpretation: Any major decisions or interpretations regarding the data will be made collectively, rather than by a single individual to reduce individual biases.
Summary of the Proposed Research:
Congestive heart failure (CHF) remains a considerable health challenge, affecting millions globally. While research has helped identify several risk factors associated with CHF, there is a paucity of information regarding associative clinical variables among specific cohorts, such as patients undergoing cardiac catheterization.
The central purpose of this study is to utilize the Duke Cardiac Catheterization Research Dataset to comprehensively explore clinical variables that are strongly associated with the presence of CHF in patients undergoing cardiac catheterization. Recognizing the constraints of the data, our aim is not to predict future diagnoses of CHF. Instead, we focus on establishing a detailed clinical profile of this particular cohort and understanding the interplay of various factors with CHF.
Virror Health is pioneering an innovative Al-based health monitoring solution. Our multi-functional smart mirror aims to offer daily monitoring of essential vital signs, delivering a seamless experience for users. The platform not only aims to enhance self-monitoring but also seeks to provide clinicians with a holistic view of patient health, augmented by data-driven clinical decision trees.
Our goal is to harness insights from the analysis of the Duke Cardiac Catheterization Research Dataset, specifically relating to patients undergoing cardiac catheterization, and incorporate these insights into Virror Health’s diagnostic platform. This approach will optimize the relevancy and precision of the health alerts provided to users, rooted in a more nuanced understanding of this particular patient group. Ultimately, this research will drive improvements in patient care, enabling more timely interventions and fostering better patient-doctor interactions informed by data-driven insights.
Generalization of the Model
We acknowledge that the insights and associations derived from this study will be specifically pertinent to patients undergoing cardiac catheterization. Any models or conclusions drawn will be strictly contextualized for this cohort and will not be extrapolated to the general population. The primary intent is to offer a richer understanding of CHF among these patients, leading to more informed clinical decisions and patient interventions within this specific context.
Analysis dataset of cardiac catheterization procedures from the Duke Information System for Cardiovascular Care (DISCC) (“ACATHD”)
Data Contributor: Duke University School of Medicine/Duke University Hospital
Study ID: PRO00068333
Sponsor ID: PRO00068333