Evidence map›Paper›PMID 41298309›Full record

ArticleImmunity, inflammation and disease2025

Immunosuppression Efficacy via Nonlinear Modeling and Probabilistic Analysis of Human Leukocyte Antigen Match and Dose Effects on Allograft Rejection Risk.

Samrajya Raj Acharya, Aayush Man Regmi, Sushil Ghimire, Ram Prasad Ghimire

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samrajya Raj AcharyaDepartment of Mathematics, School of Science, Kathmandu University, Dhulikhel, Nepal.ORCID https://orcid.org/0009-0008-0836-0170
Aayush Man RegmiDepartment of Mathematics, VIT University, Vellore, India.
Sushil GhimireDepartment of Mathematics, School of Science, Kathmandu University, Dhulikhel, Nepal.
Ram Prasad GhimireDepartment of Mathematics, School of Science, Kathmandu University, Dhulikhel, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman Leukocyte Antigen (HLA) compatibility is a key driver of kidney allograft outcomes, yet how matching interacts with immunosuppressant dosing remains unclear. This study evaluates whether low-resolution HLA match fractions affect mean dosing and quantified the joint impact of match quality and dose on rejection risk.

methodsIn 519 transplants grouped by HLA match (0-1.0 in 7 strata), full data completeness and variance homogeneity is confirmed, followed by the usage of one-way ANOVA to compare mean doses. Ridge-penalized logistic regression models was fitted at each match level to predict rejection probability across low- and high-dose regimens, deriving absolute and relative risk reductions.

resultsANOVA showed no significant dosing differences by match (F

conclusionUniform baseline dosing eliminates bias, allowing clear attribution of benefit to immunologic compatibility. These findings endorse a risk-tailored immunosuppression approach intensifying doses where match is low and potentially reducing them in highly compatible transplants and identify match ranges that maximize rejection prevention.

Indexed as

Graft RejectionHLA AntigensImmunosuppression TherapyImmunosuppressive AgentsKidney TransplantationAdultAllograftsFemaleHistocompatibility TestingHumansMaleMiddle AgedModels, StatisticalNonlinear DynamicsTransplantation, HomologousHLA AntigensImmunosuppressive Agents

Identifiers

PMID41298309
PMCPMC12657120

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.