2019
DOI: 10.1111/ctr.13626
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Modeling the economic benefit of targeted mild hypothermia in deceased donor kidney transplantation

Abstract: Delayed graft function (DGF) in kidney transplant significantly increases inpatient and outpatient cost. Targeted, mild hypothermia in organ donors after neurologic determination of death significantly reduced the rate of DGF in a recent randomized controlled clinical trial. To assess the potential economic benefit of national implementation of donor hypothermia, rates of reduction DGF were combined with estimates of the impact of DGF on hospital cost and total health expenditure for standard and extended crit… Show more

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Cited by 7 publications
(2 citation statements)
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References 20 publications
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“…Distributions of baseline traits in the full study sample were summarized as proportions. The marginal impacts of each induction and maintenance treatment on the economic outcomes were computed by ordinary least squares regression equations as: E(Y) = β1X1 + β2X2 + … β kXk, where E(Y) = costs or payments within a period of interest, Xk = the value of a given predictor variable, and β k = the marginal costs associated with a 1‐unit change in a given variable after adjustment for other observed factors in the model, as per previous methods . Thus, for categorical variables such as induction treatment and maintenance treatment groups, the βk parameters quantified the marginal economic impact associated with the induction and maintenance treatment categories, adjusted for baseline factors and for the impact of death and graft failure within the period of interest, as previously described .…”
Section: Methodsmentioning
confidence: 99%
“…Distributions of baseline traits in the full study sample were summarized as proportions. The marginal impacts of each induction and maintenance treatment on the economic outcomes were computed by ordinary least squares regression equations as: E(Y) = β1X1 + β2X2 + … β kXk, where E(Y) = costs or payments within a period of interest, Xk = the value of a given predictor variable, and β k = the marginal costs associated with a 1‐unit change in a given variable after adjustment for other observed factors in the model, as per previous methods . Thus, for categorical variables such as induction treatment and maintenance treatment groups, the βk parameters quantified the marginal economic impact associated with the induction and maintenance treatment categories, adjusted for baseline factors and for the impact of death and graft failure within the period of interest, as previously described .…”
Section: Methodsmentioning
confidence: 99%
“…These costs pose a significant financial disincentive for accepting lower-quality kidneys. 53 posttransplant requires increased resources and costs. 54 Yet, over the life of the organ, there are significant clinical and economic benefits of transplantation with nonstandard, higher-risk organs.…”
Section: Recommendationsmentioning
confidence: 99%