Abstract: TH-PO303
Apollo DB: Characteristics of a Global Dialysis Database Across Major World Regions
Session Information
- Hemodialysis: Volume, Metabolic Complications, Clinical Outcomes
November 02, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Dialysis
- 801 Dialysis: Hemodialysis and Frequent Dialysis
Authors
- Wolf, Melanie, Fresenius Medical Care, Bad Homburg, Germany
- Jiao, Yue, Fresenius Medical Care, Waltham, Massachusetts, United States
- Croft, Kaitlyn, Fresenius Medical Care, Bad Homburg, Germany
- Diaz Bessone, Maria Ines, Fresenius Medical Care, Buenos Aires, Argentina
- Rancati, Marco, Fresenius Medical Care, Crema, Italy
- Winter, Anke, Fresenius Medical Care, Bad Homburg, Germany
- Carioni, Paola, Fresenius Medical Care, Crema, Italy
- Chaudhuri, Sheetal, Fresenius Medical Care, Waltham, Massachusetts, United States
- Neri, Luca, Fresenius Medical Care, Crema, Italy
- Singh, Kanti, Fresenius Medical Care, Waltham, Massachusetts, United States
- Nikam, Milind, Fresenius Medical Care, Singapore, Singapore
- Stuard, Stefano, Fresenius Medical Care, Bad Homburg, Germany
- Guinsburg, Adrian M., Fresenius Medical Care, Waltham, Massachusetts, United States
- Hymes, Jeffrey L., Fresenius Medical Care, Waltham, Massachusetts, United States
- Usvyat, Len A., Fresenius Medical Care, Waltham, Massachusetts, United States
- Larkin, John W., Fresenius Medical Care, Waltham, Massachusetts, United States
- Maddux, Franklin W., Fresenius Medical Care, Waltham, Massachusetts, United States
Group or Team Name
- Apollo DB Team.
Background
Large amounts of data are captured during dialysis. This data can be used for secondary purposes to understand and advance care models, yet data is often not available on a multinational level. Apollo DB is an anonymized dialysis database that combines and harmonizes data from a global provider for research and quality improvement activities.
Methods
Apollo DB captures data from 40 countries on demographics, laboratories, treatments, and outcomes. Data from different electronic systems is harmonized and anonymized based on logic established in a re-identification risk assessment. Data is consolidated and stored in a central cloud environment. The database contains data on 363 variables from Jan 2018-Mar 2021 and will be updated periodically.
Results
Apollo DB includes 543,169 patients, 4.6% Asia-Pacific (AP), 13.9% Europe, Middle East, & Africa (EMEA), 7.0% Latin America (LA), and 74.5% North America (NA). Select characteristics are shown by world region in Figure 1. Most patients are 45-64 years old (yo), yet more are 18-44 yo in AP & LA, while more are 65-74 & ≥75 yo in EMEA & NA. Hemodialysis is the most used modality, but peritoneal dialysis is common in LA (17.3%) and NA (13.2%). There were regional differences, such as higher urea removal in EMEA that commonly uses hemodiafiltration. The mean treatment time tends to be lower in NA and patients have a higher weight and are taller versus other regions.
Conclusion
In a first descriptive analysis, several regional differences were observed. These patient characteristics act as benchmarks for the nephrology community. Apollo DB offers opportunities for investigators to conduct global analytics and advance the state of the art.
Funding
- Commercial Support – Fresenius Medical Care