Nithya Krishnan
Overview
Explore the profile of Nithya Krishnan including associated specialties, affiliations and a list of published articles.
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57
Citations
438
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Recent Articles
1.
Kendrick A, Krishnan N, Baharani J, Tuttle J, Szczepura A
BMJ Open
. 2025 Feb;
15(2):e094549.
PMID: 39956599
Objectives: To examine the authorship and content of systematic reviews (SRs) of biases experienced by medical professionals through a gender lens. Design: Review of SRs. Data Sources: We searched PubMed,...
2.
Ali H, Shroff A, Fulop T, Molnar M, Sharif A, Burke B, et al.
Ren Fail
. 2025 Jan;
47(1):2431147.
PMID: 39838510
Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models...
3.
Ali H, Shroff A, Soliman K, Molnar M, Sharif A, Burke B, et al.
Ren Fail
. 2024 Oct;
46(2):2373273.
PMID: 39437817
The UK Deceased Donor Kidney Transplant Outcome Prediction (UK-DTOP) Tool, developed using advanced artificial intelligence (AI), significantly enhances the prediction of outcomes for deceased-donor kidney transplants in the UK. This...
4.
Krishnan N, Briggs D
Indian J Nephrol
. 2024 Aug;
34(4):291-296.
PMID: 39156835
Potential kidney transplant patients with HLA-specific antibodies have reduced access to transplantation. Their harmful effects are mediated by the Fc portion of IgG, including activation of the complement system and...
5.
Ali H, Mohammed M, Molnar M, Fulop T, Burke B, Shroff S, et al.
Nephrol Dial Transplant
. 2024 Apr;
39(12):2088-2099.
PMID: 38684469
Background: Outcome prediction for live-donor kidney transplantation improves clinical and patient decisions and donor selection. However, the currently used models are of limited discriminative or calibration power and there is...
6.
Ali H, Mohamed M, Molnar M, Fulop T, Burke B, Shroff A, et al.
ASAIO J
. 2024 Mar;
70(9):808-818.
PMID: 38552178
In kidney transplantation, pairing recipients with the highest longevity with low-risk allografts to optimize graft-donor survival is a complex challenge. Current risk prediction models exhibit limited discriminative and calibration capabilities...
7.
Krishnan N, Szczepura A, Baharani J, Tuttle J, ODoherty L
Br J Surg
. 2024 Jan;
111(1).
PMID: 38243817
No abstract available.
8.
Daga S, Khovanova N, Babu A, Krishnan N, Briggs D
HLA
. 2023 Aug;
102(5):607-608.
PMID: 37605347
No abstract available.
9.
Bul K, Bannon C, Krishnan N, Dunlop A, Szczepura A
Transplant Rev (Orlando)
. 2023 May;
37(2):100760.
PMID: 37172527
Background And Objectives: Adherence to medical treatment following a kidney transplant is particularly challenging during adolescence and young adulthood. There is increasing evidence of the benefits of the use of...
10.
McGuire S, Krishnan N, Malik A, Waddell A, Russell S, Denton F, et al.
Clin Kidney J
. 2023 Feb;
16(2):262-271.
PMID: 36755842
Background: The impact and management of subclinical hypoxia during hemodialysis is a significant medical challenge. As key determinants of O availability and delivery, proposed mechanisms contributing to hypoxia include ischemia,...