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Revising model for end-stage liver disease from calendar-time cross-sections with correction for selection bias

Authors :
de Ferrante, Hans
van Rosmalen, Marieke
Smeulders, Bart M.L.
Vogelaar, Serge
Spieksma, Frits C.R.
de Ferrante, Hans
van Rosmalen, Marieke
Smeulders, Bart M.L.
Vogelaar, Serge
Spieksma, Frits C.R.
Source :
BMC Medical Research Methodology vol.24 (2024) [ISSN 1471-2288]
Publication Year :
2024

Abstract

Background: Eurotransplant liver transplant candidates are prioritized by Model for End-stage Liver Disease (MELD), a 90-day waitlist survival risk score based on the INR, creatinine and bilirubin. Several studies revised the original MELD score, UNOS-MELD, with transplant candidate data by modelling 90-day waitlist mortality from waitlist registration, censoring patients at delisting or transplantation. This approach ignores biomarkers reported after registration, and ignores informative censoring by transplantation and delisting. Methods: We study how MELD revision is affected by revision from calendar-time cross-sections and correction for informative censoring with inverse probability censoring weighting (IPCW). For this, we revised UNOS-MELD on patients with chronic liver cirrhosis on the Eurotransplant waitlist between 2007 and 2019 (n = 13,274) with Cox models with as endpoints 90-day survival (a) from registration and (b) from weekly drawn calendar-time cross-sections. We refer to the revised score from cross-section with IPCW as DynReMELD, and compare DynReMELD to UNOS-MELD and ReMELD, a prior revision of UNOS-MELD for Eurotransplant, in geographical validation. Results: Revising MELD from calendar-time cross-sections leads to significantly different MELD coefficients. IPCW increases estimates of absolute 90-day waitlist mortality risks by approximately 10 percentage points. DynReMELD has improved discrimination over UNOS-MELD (delta c-index: 0.0040, p < 0.001) and ReMELD (delta c-index: 0.0015, p < 0.01), with differences comparable in magnitude to the addition of an extra biomarker to MELD (delta c-index: ± 0.0030). Conclusion: Correcting for selection bias by transplantation/delisting does not improve discrimination of revised MELD scores, but substantially increases estimated absolute 90-day mortality risks. Revision from cross-section uses waitlist data more efficiently, and improves discrimination compared to revision of MELD exclusively base

Details

Database :
OAIster
Journal :
BMC Medical Research Methodology vol.24 (2024) [ISSN 1471-2288]
Notes :
de Ferrante, Hans
Publication Type :
Electronic Resource
Accession number :
edsoai.on1427410699
Document Type :
Electronic Resource