Those who died on waiting list had lower numerical rankings ascribed by multistate model than Composite Allocation Score<\/p>\n<\/h3>\n
By Elana Gotkine HealthDay Reporter<\/b><\/p>\n
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WEDNESDAY, Oct. 11, 2023 (HealthDay News) — A new model has been developed for prioritizing patients waiting for a lung transplant, according to a study published online Sept. 29 in the American Journal of Respiratory and Critical Care Medicine<\/em>.<\/p>\n Jarrod E. Dalton, Ph.D., from the Cleveland Clinic, and colleagues examined the effects of accrued wait-list time on mortality in lung transplant candidates and recipients beyond those expressed by worsening clinical status using data for 12,616 Scientific Registry of Transplant Recipients. In addition, a new framework was presented for conceptualizing mortality risk in end-stage lung disease. Trajectories of composite one-year mortality risk were estimated as a function of time from wait-listing to transplant; the predictive accuracy of these estimates was quantified. Multistate model-derived candidate rankings were compared against Composite Allocation Score (CAS) rankings.<\/p>\n The researchers found that 11.5 percent of candidates on the waiting list had predicted mortality risk that increased by >10 percent by day 30. For those who died on the waiting list, lower numerical rankings were ascribed by a multistate model than CAS (mean;median ranking at death: 227;154 for multistate and 329;162 for CAS). Compared with other lung diagnoses, patients with interstitial lung disease were more likely to have increasing risk trajectories as a function of time accrued on the waiting list.<\/p>\n “This approach may allow us to more accurately prioritize time-sensitive lung transplant candidates and decrease waitlist mortality for patients with end-stage lung disease,” Dalton said in a statement.<\/strong><\/p>\n Abstract\/Full Text (subscription or payment may be required)<\/a><\/p>\n <\/i><\/p>\n