Cargando…

Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray

BACKGROUND: Clinical outcomes of dialysis patients are variable, and improved knowledge of prognosis would inform decisions regarding patient management. We assessed the value of simple, chest X-ray derived measures of cardiac size (cardiothoracic ratio (CTR)) and vascular calcification (Aortic Arch...

Descripción completa

Detalles Bibliográficos
Autores principales: Bohn, Ethan, Tangri, Navdeep, Gali, Brent, Henderson, Blair, Sood, Manish M, Komenda, Paul, Rigatto, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219436/
https://www.ncbi.nlm.nih.gov/pubmed/24289833
http://dx.doi.org/10.1186/1471-2369-14-263
_version_ 1782342582316040192
author Bohn, Ethan
Tangri, Navdeep
Gali, Brent
Henderson, Blair
Sood, Manish M
Komenda, Paul
Rigatto, Claudio
author_facet Bohn, Ethan
Tangri, Navdeep
Gali, Brent
Henderson, Blair
Sood, Manish M
Komenda, Paul
Rigatto, Claudio
author_sort Bohn, Ethan
collection PubMed
description BACKGROUND: Clinical outcomes of dialysis patients are variable, and improved knowledge of prognosis would inform decisions regarding patient management. We assessed the value of simple, chest X-ray derived measures of cardiac size (cardiothoracic ratio (CTR)) and vascular calcification (Aortic Arch Calcification (AAC)), in predicting death and improving multivariable prognostic models in a prevalent cohort of hemodialysis patients. METHODS: Eight hundred and twenty-four dialysis patients with one or more postero-anterior (PA) chest X-ray were included in the study. Using a validated calcification score, the AAC was graded from 0 to 3. Cox proportional hazards models were used to assess the association between AAC score, CTR, and mortality. AAC was treated as a categorical variable with 4 levels (0,1,2, or 3). Age, race, diabetes, and heart failure were adjusted for in the multivariable analysis. The criterion for statistical significance was p<0.05. RESULTS: The median CTR of the sample was 0.53 [IQR=0.48,0.58] with calcification scores as follows: 0 (54%), 1 (24%), 2 (17%), and 3 (5%). Of 824 patients, 152 (18%) died during follow-up. Age, sex, race, duration of dialysis, diabetes, heart failure, ischemic heart disease and baseline serum creatinine and phosphate were included in a base Cox model. Both CTR (HR 1.78[1.40,2.27] per 0.1 unit change), area under the curve (AUC)=0.60[0.55,0.65], and AAC (AAC 3 vs 0 HR 4.35[2.38,7.66], AAC 2 vs 0 HR 2.22[1.41,3.49], AAC 1 vs 0 HR 2.43[1.64,3.61]), AUC=0.63[0.58,0.68]) were associated with death in univariate Cox analysis. CTR remained significant after adjustment for base model variables (adjusted HR 1.46[1.11,1.92]), but did not increase the AUC of the base model (0.71[0.66,0.76] vs. 0.71[0.66,0.76]) and did not improve net reclassification performance (NRI=0). AAC also remained significant on multivariable analysis, but did not improve net reclassification (NRI=0). All ranges were based on 95% confidence intervals. CONCLUSIONS: Neither CTR nor AAC assessed on chest x-ray improved prediction of mortality in this prevalent cohort of dialysis patients. Our data do not support the clinical utility of X-ray measures of cardiac size and vascular calcification for the purpose of mortality prediction in prevalent hemodialysis patients. More advanced imaging techniques may be needed to improve prognostication in this population.
format Online
Article
Text
id pubmed-4219436
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-42194362014-11-05 Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray Bohn, Ethan Tangri, Navdeep Gali, Brent Henderson, Blair Sood, Manish M Komenda, Paul Rigatto, Claudio BMC Nephrol Research Article BACKGROUND: Clinical outcomes of dialysis patients are variable, and improved knowledge of prognosis would inform decisions regarding patient management. We assessed the value of simple, chest X-ray derived measures of cardiac size (cardiothoracic ratio (CTR)) and vascular calcification (Aortic Arch Calcification (AAC)), in predicting death and improving multivariable prognostic models in a prevalent cohort of hemodialysis patients. METHODS: Eight hundred and twenty-four dialysis patients with one or more postero-anterior (PA) chest X-ray were included in the study. Using a validated calcification score, the AAC was graded from 0 to 3. Cox proportional hazards models were used to assess the association between AAC score, CTR, and mortality. AAC was treated as a categorical variable with 4 levels (0,1,2, or 3). Age, race, diabetes, and heart failure were adjusted for in the multivariable analysis. The criterion for statistical significance was p<0.05. RESULTS: The median CTR of the sample was 0.53 [IQR=0.48,0.58] with calcification scores as follows: 0 (54%), 1 (24%), 2 (17%), and 3 (5%). Of 824 patients, 152 (18%) died during follow-up. Age, sex, race, duration of dialysis, diabetes, heart failure, ischemic heart disease and baseline serum creatinine and phosphate were included in a base Cox model. Both CTR (HR 1.78[1.40,2.27] per 0.1 unit change), area under the curve (AUC)=0.60[0.55,0.65], and AAC (AAC 3 vs 0 HR 4.35[2.38,7.66], AAC 2 vs 0 HR 2.22[1.41,3.49], AAC 1 vs 0 HR 2.43[1.64,3.61]), AUC=0.63[0.58,0.68]) were associated with death in univariate Cox analysis. CTR remained significant after adjustment for base model variables (adjusted HR 1.46[1.11,1.92]), but did not increase the AUC of the base model (0.71[0.66,0.76] vs. 0.71[0.66,0.76]) and did not improve net reclassification performance (NRI=0). AAC also remained significant on multivariable analysis, but did not improve net reclassification (NRI=0). All ranges were based on 95% confidence intervals. CONCLUSIONS: Neither CTR nor AAC assessed on chest x-ray improved prediction of mortality in this prevalent cohort of dialysis patients. Our data do not support the clinical utility of X-ray measures of cardiac size and vascular calcification for the purpose of mortality prediction in prevalent hemodialysis patients. More advanced imaging techniques may be needed to improve prognostication in this population. BioMed Central 2013-12-01 /pmc/articles/PMC4219436/ /pubmed/24289833 http://dx.doi.org/10.1186/1471-2369-14-263 Text en Copyright © 2013 Bohn et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bohn, Ethan
Tangri, Navdeep
Gali, Brent
Henderson, Blair
Sood, Manish M
Komenda, Paul
Rigatto, Claudio
Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray
title Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray
title_full Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray
title_fullStr Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray
title_full_unstemmed Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray
title_short Predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest X-ray
title_sort predicting risk of mortality in dialysis patients: a retrospective cohort study evaluating the prognostic value of a simple chest x-ray
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219436/
https://www.ncbi.nlm.nih.gov/pubmed/24289833
http://dx.doi.org/10.1186/1471-2369-14-263
work_keys_str_mv AT bohnethan predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray
AT tangrinavdeep predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray
AT galibrent predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray
AT hendersonblair predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray
AT soodmanishm predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray
AT komendapaul predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray
AT rigattoclaudio predictingriskofmortalityindialysispatientsaretrospectivecohortstudyevaluatingtheprognosticvalueofasimplechestxray