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Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical
Maryam Panahiazar1,2, Andrew M Bishara2,3, Yorick Chern4
1Division of Cardiothoracic Surgery, Department of Surgery, School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Insights
Women experience longer diagnostic delays for Coronary Artery Disease (CAD) than men. This study highlights a significant time gap between initial encounters and cardiac catheterization, impacting timely treatment and outcomes for female patients.
Area of Science:
- Cardiology
- Health Disparities
- Data Analytics
Background:
- Coronary Artery Disease (CAD) outcomes are poorer in women compared to men.
- The underlying reasons for this gender-based discrepancy require further investigation.
Purpose of the Study:
- To identify and analyze gender-based differences in the diagnosis and treatment pathways of Coronary Artery Disease (CAD).
Main Methods:
- Utilized data analytics on approximately 32,000 CAD patients from UCSF Medical Center over 8 years.
- Implemented a multidimensional framework to track patient journeys from admission to treatment, calculating time intervals between key events.
- Applied statistical analysis to compare diagnosis and treatment timelines between genders.
Main Results:
- A statistically significant delay was observed in diagnostic Cardiac Catheterization for women compared to men (p-value = 0.000119).
- No significant time difference was found between diagnostic Cardiac Catheterization and Coronary Artery Bypass Grafting (CABG) surgery between genders.
Conclusions:
- Women face a longer interval from initial CAD indication to diagnostic cardiac catheterization than men.
- Reducing diagnostic delays for women may lead to more prompt treatment and improved patient outcomes.
- Early detection and tailored management are crucial for improving patient care and addressing CAD progression risks.
Background:
Women continue to have worse Coronary Artery Disease (CAD) outcomes than men. The causes of this discrepancy have yet to be fully elucidated. The main objective of this study is to detect gender discrepancies in the diagnosis and treatment of CAD.
Methods:
We used data analytics to risk stratify ~32,000 patients with CAD of the total 960,129 patients treated at the UCSF Medical Center over an 8 year period. We implemented a multidimensional data analytics framework to trace patients from admission through treatment to create a path of events. Events are any medications or noninvasive and invasive procedures. The time between events for a similar set of paths was calculated. Then, the average waiting time for each step of the treatment was calculated. Finally, we applied statistical analysis to determine differences in time between diagnosis and treatment steps for men and women.
Results:
There is a significant time difference from the first time of admission to diagnostic Cardiac Catheterization between genders (p-value = 0.000119), while the time difference from diagnostic Cardiac Catheterization to CABG is not statistically significant.
Conclusion:
Women had a significantly longer interval between their first physician encounter indicative of CAD and their first diagnostic cardiac catheterization compared to men. Avoiding this delay in diagnosis may provide more timely treatment and a better outcome for patients at risk. Finally, we conclude by discussing the impact of the study on improving patient care with early detection and managing individual patients at risk of rapid progression of CAD.
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