Developing Statistical Models to Assess Transplant Outcomes Using National Registries
| Autor: | Ajay K. Israni, Nicholas Salkowski, S. Joseph Kim, Hui Xiong, Jon J. Snyder, Bertram L. Kasiske, David Zaun |
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| Rok vydání: | 2016 |
| Předmět: |
Organ procurement organization
medicine.medical_specialty Tissue and Organ Procurement Process (engineering) MEDLINE 030230 surgery Risk Assessment Organ transplantation Decision Support Techniques 03 medical and health sciences 0302 clinical medicine Risk Factors Environmental protection medicine Humans Registries Intensive care medicine Transplantation Models Statistical business.industry Patient Selection Process Assessment Health Care Statistical model Organ Transplantation United States Treatment Outcome Data Interpretation Statistical Cohort 030211 gastroenterology & hepatology Systematic process Risk assessment business Algorithms |
| Zdroj: | Transplantation. 100:288-294 |
| ISSN: | 0041-1337 |
| DOI: | 10.1097/tp.0000000000000891 |
| Popis: | Created by the US National Organ Transplant Act in 1984, the Scientific Registry of Transplant Recipients (SRTR) is obligated to publicly report data on transplant program and organ procurement organization performance in the United States. These reports include risk-adjusted assessments of graft and patient survival, and programs performing worse or better than expected are identified. The SRTR currently maintains 43 risk adjustment models for assessing posttransplant patient and graft survival and, in collaboration with the SRTR Technical Advisory Committee, has developed and implemented a new systematic process for model evaluation and revision. Patient cohorts for the risk adjustment models are identified, and single-organ and multiorgan transplants are defined, then each risk adjustment model is developed following a prespecified set of steps. Model performance is assessed, the model is refit to a more recent cohort before each evaluation cycle, and then it is applied to the evaluation cohort. The field of solid organ transplantation is unique in the breadth of the standardized data that are collected. These data allow for quality assessment across all transplant providers in the United States. A standardized process of risk model development using data from national registries may enhance the field. |
| Databáze: | OpenAIRE |
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