<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Haapio M</submitter><funding>Medicinska Understödsföreningen Liv och Hälsa</funding><funding>Nierstichting</funding><funding>National Institute for Health Research (NIHR)</funding><funding>Baxter International</funding><funding>Finska Läkaresällskapet</funding><pagination>e0280831</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9946236</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>18(2)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Mortality prediction is critical on long-term kidney replacement therapy (KRT), both for individual treatment decisions and resource planning. Many mortality prediction models already exist, but as a major shortcoming most of them have only been validated internally. This leaves reliability and usefulness of these models in other KRT populations, especially foreign, unknown. Previously two models were constructed for one- and two-year mortality prediction of Finnish patients starting long-term dialysis. These models are here internationally validated in KRT populations of the Dutch NECOSAD Study and the UK Renal Registry (UKRR).&lt;h4>Methods&lt;/h4>We validated the models externally on 2051 NECOSAD patients and on two UKRR patient cohorts (5328 and 45493 patients). We perform</pubmed_abstract><journal>PloS one</journal><pubmed_title>Predicting mortality after start of long-term dialysis-International validation of one- and two-year prediction models.</pubmed_title><pmcid>PMC9946236</pmcid><funding_grant_id>16OKG12</funding_grant_id><pubmed_authors>Finne P</pubmed_authors><pubmed_authors>van Diepen M</pubmed_authors><pubmed_authors>Haapio M</pubmed_authors><pubmed_authors>Steenkamp R</pubmed_authors><pubmed_authors>Dekker FW</pubmed_authors><pubmed_authors>Helve J</pubmed_authors><pubmed_authors>Caskey F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predicting mortality after start of long-term dialysis-International validation of one- and two-year prediction models.</name><description>&lt;h4>Background&lt;/h4>Mortality prediction is critical on long-term kidney replacement therapy (KRT), both for individual treatment decisions and resource planning. Many mortality prediction models already exist, but as a major shortcoming most of them have only been validated internally. This leaves reliability and usefulness of these models in other KRT populations, especially foreign, unknown. Previously two models were constructed for one- and two-year mortality prediction of Finnish patients starting long-term dialysis. These models are here internationally validated in KRT populations of the Dutch NECOSAD Study and the UK Renal Registry (UKRR).&lt;h4>Methods&lt;/h4>We validated the models externally on 2051 NECOSAD patients and on two UKRR patient cohorts (5328 and 45493 patients). We perform</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-04T22:39:13.915Z</modification><creation>2025-04-04T22:39:13.915Z</creation></dates><accession>S-EPMC9946236</accession><cross_references><pubmed>36812268</pubmed><doi>10.1371/journal.pone.0280831</doi></cross_references></HashMap>