Literature DB >> 34363421

How can we better inform our patients about post-heart transplantation survival? A conditional survival analysis.

Kevin J Clerkin1, Jan M Griffin1, Justin A Fried1, Jayant Raikhelkar1, Rashmi Jain1, Veli K Topkara1, Marlena V Habal1, Farhana Latif1, Susan Restaino1, Paolo C Colombo1, Koji Takeda2, Yoshifumi Naka2, Maryjane A Farr1, Gabriel Sayer1, Nir Uriel1.   

Abstract

BACKGROUND: Conditional survival (CS) is a dynamic method of survival analysis that provides an estimate of how an individual's future survival probability changes based on time post-transplant, individual characteristics, and post-transplant events. This study sought to provide post-transplant CS probabilities for heart transplant recipients based on different prognostic variables and provide a discussion tool for the providers and the patients.
METHODS: Adult heart transplant recipients from January 1, 2004, through October 18, 2018, were identified in the UNOS registry. CS probabilities were calculated using data from Kaplan-Meier survival estimates.
RESULTS: CS probability exceeded actuarial survival probability at all times post-transplant. Women had similar short-term, but greater long-term CS than men at all times post-transplant (10-year CS 1.8-11.5% greater [95% CI 1.2-12.9]). Patients with ECMO or a surgical BiVAD had decreased survival at the time of transplant, but their CS was indistinguishable from all others by 1-year post-transplant. Rejection and infection requiring hospitalization during the first year were associated with a persistently decreased CS probability.
CONCLUSIONS: In this study, we report differential conditional survival outcomes based on time, patient characteristics, and clinical events post-transplant, providing a dynamic assessment of survival. The survival probabilities will better inform patients and clinicians of future outcomes.
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Transplantation Network (OPTN); complication: infectious; gender; graft survival; organ procurement; rejection

Mesh:

Year:  2021        PMID: 34363421      PMCID: PMC8697356          DOI: 10.1111/ctr.14449

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  7 in total

1.  Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Paul Muntner; Alvaro Alonso; Marcio S Bittencourt; Clifton W Callaway; April P Carson; Alanna M Chamberlain; Alexander R Chang; Susan Cheng; Sandeep R Das; Francesca N Delling; Luc Djousse; Mitchell S V Elkind; Jane F Ferguson; Myriam Fornage; Lori Chaffin Jordan; Sadiya S Khan; Brett M Kissela; Kristen L Knutson; Tak W Kwan; Daniel T Lackland; Tené T Lewis; Judith H Lichtman; Chris T Longenecker; Matthew Shane Loop; Pamela L Lutsey; Seth S Martin; Kunihiro Matsushita; Andrew E Moran; Michael E Mussolino; Martin O'Flaherty; Ambarish Pandey; Amanda M Perak; Wayne D Rosamond; Gregory A Roth; Uchechukwu K A Sampson; Gary M Satou; Emily B Schroeder; Svati H Shah; Nicole L Spartano; Andrew Stokes; David L Tirschwell; Connie W Tsao; Mintu P Turakhia; Lisa B VanWagner; John T Wilkins; Sally S Wong; Salim S Virani
Journal:  Circulation       Date:  2019-03-05       Impact factor: 29.690

2.  OPTN/SRTR 2018 Annual Data Report: Heart.

Authors:  M Colvin; J M Smith; N Hadley; M A Skeans; K Uccellini; R Goff; J Foutz; A K Israni; J J Snyder; B L Kasiske
Journal:  Am J Transplant       Date:  2020-01       Impact factor: 8.086

Review 3.  Understanding the epidemic of heart failure: past, present, and future.

Authors:  Shannon M Dunlay; Véronique L Roger
Journal:  Curr Heart Fail Rep       Date:  2014-12

4.  Interagency registry for mechanically assisted circulatory support report on the total artificial heart.

Authors:  Francisco A Arabía; Ryan S Cantor; Devin A Koehl; Vigneshwar Kasirajan; Igor Gregoric; Jaime D Moriguchi; Fardad Esmailian; Danny Ramzy; Joshua S Chung; Lawrence S Czer; Jon A Kobashigawa; Richard G Smith; James K Kirklin
Journal:  J Heart Lung Transplant       Date:  2018-04-26       Impact factor: 10.247

5.  The conditional probability of survival of patients with primary malignant brain tumors: surveillance, epidemiology, and end results (SEER) data.

Authors:  F G Davis; B J McCarthy; S Freels; V Kupelian; M L Bondy
Journal:  Cancer       Date:  1999-01-15       Impact factor: 6.860

6.  Influence of HLA mismatch on rejection after heart transplantation: a multiinstitutional study. The Cardiac Transplant Research Database Group.

Authors:  J Jarcho; D C Naftel; T W Shroyer; J K Kirklin; R C Bourge; M L Barr; D G Pitts; R C Starling
Journal:  J Heart Lung Transplant       Date:  1994 Jul-Aug       Impact factor: 10.247

7.  Risk factors for late recurrent rejection after heart transplantation: a multiinstitutional, multivariable analysis. Cardiac Transplant Research Database Group.

Authors:  S H Kubo; D C Naftel; R M Mills; J O'Donnell; R J Rodeheffer; G B Cintron; J L Kenzora; R C Bourge; J K Kirklin
Journal:  J Heart Lung Transplant       Date:  1995 May-Jun       Impact factor: 10.247

  7 in total

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