Abstract: SA-PO1114
A Comparison of Standard Survival Analysis and Recurrent Event Analysis in the KNOW-CKD Study
Session Information
- CKD Epidemiology, Risk Factors, Prevention - III
November 04, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Im, Dha Woon, Seoul National University Hospital Department of Internal Medicine, Jongno-gu, Seoul, Korea (the Republic of)
- Kim, Jayoun, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Kim, Ji Hye, Chungbuk National University Hospital, Cheongju, Chungcheongbuk-do, Korea (the Republic of)
- Kim, Minsang, Seoul National University Hospital Department of Internal Medicine, Jongno-gu, Seoul, Korea (the Republic of)
- Oh, Kook-Hwan, Seoul National University Hospital Department of Internal Medicine, Jongno-gu, Seoul, Korea (the Republic of)
Background
Recurrent events are typically defined as events that occur repeatedly. While many clinical studies primarily focus on identifying risk factors for the first occurrence of an event, known as incident events, there is also interest in investigating the risk factors associated with recurrent events and examining whether there are differences compared to a conventional method.
Methods
We conducted a recurrent event analysis on cardiovascular(CV) events using data from the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease(KNOW-CKD). Statistical models employed in the analysis included Poisson regression, proportional intensity model, Prentice-Williams-and Peterson total time and gap time models, and frailty model. Furthermore, we compared the results of these models with those from Cox proportional hazards model.
Results
During a median follow-up period of 7.205 years, a total of 2,238 participants were included in the analysis. Among these participants, 155 experienced a CV event for the first time, while 35 experienced a second recurrent event, and 4 experienced a third recurrent event. Using Poisson regression model, we further identified associations between recurrent CV events and sex, mean blood pressure, alcohol consumption, hemoglobin levels, and urine protein-creatinine ratio. However, we found that BMI was only associated with incident events and not with recurrent events. Other models did not yield any significant differences compared to the results obtained from Cox proportional hazards model.
Conclusion
Our analysis of recurrent event data provided us with valuable insights that were not attainable through a conventional survival analysis focused solely on the time to the first event.
Table 1. Poisson regression analysis for CV events among KNOW-CKD participants.
Funding
- Government Support – Non-U.S.