The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.
Nilsson, Johan LU
; Ohlsson, Mattias
LU
; Höglund, Peter
LU
; Ekmehag, Björn
LU
; Koul, Bansi
LU
and Andersson, Bodil
LU
(2015)
In PLoS ONE
10(3).
- Abstract
- Heart transplantation is life saving for patients with end-stage heart disease. However, a number of factors influence how well recipients and donor organs tolerate this procedure. The main objective of this study was to develop and validate a flexible risk model for prediction of survival after heart transplantation using the largest transplant registry in the world.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5264691
- author
- Nilsson, Johan
LU
; Ohlsson, Mattias
LU
; Höglund, Peter
LU
; Ekmehag, Björn
LU
; Koul, Bansi
LU
and Andersson, Bodil
LU
- organization
-
- Thoracic Surgery
- Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS) (research group)
- Heart and Lung transplantation (research group)
- Computational Biology and Biological Physics - Undergoing reorganization
- Department of Astronomy and Theoretical Physics - Undergoing reorganization
- Artificial Intelligence in CardioThoracic Sciences (AICTS) (research group)
- Division of Clinical Chemistry and Pharmacology
- Cardiology
- Surgery (Lund)
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- PLoS ONE
- volume
- 10
- issue
- 3
- article number
- e0118644
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- pmid:25760647
- wos:000351275000033
- scopus:84924385919
- pmid:25760647
- ISSN
- 1932-6203
- DOI
- 10.1371/journal.pone.0118644
- project
- Pancreatic cancer
- language
- English
- LU publication?
- yes
- id
- 56502409-f2db-4b96-abbd-c0dda9cc4372 (old id 5264691)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/25760647?dopt=Abstract
- date added to LUP
- 2016-04-01 12:54:28
- date last changed
- 2022-12-11 07:09:00
@article{56502409-f2db-4b96-abbd-c0dda9cc4372,
abstract = {{Heart transplantation is life saving for patients with end-stage heart disease. However, a number of factors influence how well recipients and donor organs tolerate this procedure. The main objective of this study was to develop and validate a flexible risk model for prediction of survival after heart transplantation using the largest transplant registry in the world.}},
author = {{Nilsson, Johan and Ohlsson, Mattias and Höglund, Peter and Ekmehag, Björn and Koul, Bansi and Andersson, Bodil}},
issn = {{1932-6203}},
language = {{eng}},
number = {{3}},
publisher = {{Public Library of Science (PLoS)}},
series = {{PLoS ONE}},
title = {{The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.}},
url = {{https://lup.lub.lu.se/search/files/3040946/8057151}},
doi = {{10.1371/journal.pone.0118644}},
volume = {{10}},
year = {{2015}},
}