Abstract: TH-PO304
Characteristics of Global Dialysis Data from Multiple Providers in the New MONitoring Dialysis Outcomes (MONDO) Dataset
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
- Rigodon, Vladimir, Pontificia Universidade Catolica do Parana, Curitiba, PR, Brazil
- Guedes, Murilo Henrique, Pontificia Universidade Catolica do Parana, Curitiba, PR, Brazil
- Tiv, Sophanny, University of Calgary, Calgary, Alberta, Canada
- Peters, Vincent, Catharina Ziekenhuis, Eindhoven, Netherlands
- Jiao, Yue, Fresenius Medical Care, Waltham, Massachusetts, United States
- Winter, Anke, Fresenius Medical Care, Bad Homburg, Germany
- Wolf, Melanie, Fresenius Medical Care, Bad Homburg, Germany
- Croft, Kaitlyn, Fresenius Medical Care, Bad Homburg, Germany
- Carioni, Paola, Fresenius Medical Care, Cremona, Italy
- Chaudhuri, Sheetal, Fresenius Medical Care, Waltham, Massachusetts, United States
- Rancati, Marco, Fresenius Medical Care, Cremona, Italy
- Diaz Bessone, Maria Ines, Fresenius Medical Care LatAm, Buenos Aires, Argentina
- Ye, Xiaoling, Renal Research Institute, New York, New York, United States
- Larkin, John W., Fresenius Medical Care, Waltham, Massachusetts, United States
- Nikam, Milind, Fresenius Medical Care, Singapore, Singapore
- Toffelmire, Edwin B., Fresenius Medical Care, Richmond Hill, Ontario, Canada
- Konings, Constantijn, Catharina Ziekenhuis, Eindhoven, North Brabant, Netherlands
- Stuard, Stefano, Fresenius Medical Care, Bad Homburg, Germany
- Guinsburg, Adrian M., Fresenius Medical Care LatAm, Buenos Aires, Argentina
- Hymes, Jeffrey L., Fresenius Medical Care, Waltham, Massachusetts, United States
- Pecoits-Filho, Roberto, Pontificia Universidade Catolica do Parana, Curitiba, PR, Brazil
- Moraes, Thyago Proença de, Pontificia Universidade Catolica do Parana, Curitiba, PR, Brazil
- Hussein, Rasha Hassan, University of Khartoum, Khartoum, Sudan
- Tonelli, Marcello, University of Calgary, Calgary, Alberta, Canada
- Kotanko, Peter, Renal Research Institute, New York, New York, United States
Group or Team Name
- From the MONDO Investigators.
Background
The MONitoring Dialysis Outcomes (MONDO) initiative is an academia-industry collaboration whereby providers can contribute data to an anonymized dataset used for joint research purposes. We present the characteristics of 20 years of longitudinal patient data contributed to the new MONDO dataset, which is now the most robust global dialysis dataset in the world.
Methods
Data from Jan 2000-Dec 2019 on 382 fields was captured longitudinally on a per patient per observation level (e.g., each lab, treatment, value) with a universal data structure. Detailed distribution statistics were used for re-identification risk assessment and confirmed the anonymization logic for providers to apply and provide acceptably low risk, consistent with international data privacy standards (e.g., GDPR, HIPAA). Final datasets were consolidated and hosted by the Renal Research Institute.
Results
Nine providers from 41 countries across six continents contributed to MONDO (289,715 patients across 20 years). Hemodialysis was the most used modality globally (Table 1). In Europe, Middle East & Africa, 63.2% of patients used hemodiafiltration (HDF) for ≥1 treatment. Peritoneal dialysis (PD) was used in 20% of patients in Latin America (LA) (20%) and 15% in North America (NA), yet ambulatory PD was more frequent in LA, while cycling PD was more frequent in NA. 11% of patients received a transplant. 42.5% died or stopped dialysis with some regional variability.
Conclusion
MONDO developed a new global research dataset to study dialysis outcomes, pathophysiology, and risk prediction. MONDO is open to collaboration and contributions without geographic restrictions.
Funding
- Commercial Support – Fresenius Medical Care