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Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study

BACKGROUND: This is the first study that has examined non-cardiac incidental findings in research cardiac computed tomography (CT) of hemodialysis patients and their relationship with patient characteristics. METHODS: We performed a cross-sectional analysis in the Predictors of Arrhythmic and Cardio...

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Autores principales: Jaar, Bernard G, Zhang, Lili, Chembrovich, Svetlana V, Sozio, Stephen M, Shafi, Tariq, Scialla, Julia J, Tomaselli, Gordon F, Lima, Joao A C, Kao, Wen Hong Linda, Parekh, Rulan S, Meoni, Lucy A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019788/
https://www.ncbi.nlm.nih.gov/pubmed/24885570
http://dx.doi.org/10.1186/1471-2369-15-68
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author Jaar, Bernard G
Zhang, Lili
Chembrovich, Svetlana V
Sozio, Stephen M
Shafi, Tariq
Scialla, Julia J
Tomaselli, Gordon F
Lima, Joao A C
Kao, Wen Hong Linda
Parekh, Rulan S
Meoni, Lucy A
author_facet Jaar, Bernard G
Zhang, Lili
Chembrovich, Svetlana V
Sozio, Stephen M
Shafi, Tariq
Scialla, Julia J
Tomaselli, Gordon F
Lima, Joao A C
Kao, Wen Hong Linda
Parekh, Rulan S
Meoni, Lucy A
author_sort Jaar, Bernard G
collection PubMed
description BACKGROUND: This is the first study that has examined non-cardiac incidental findings in research cardiac computed tomography (CT) of hemodialysis patients and their relationship with patient characteristics. METHODS: We performed a cross-sectional analysis in the Predictors of Arrhythmic and Cardiovascular Events in End-Stage Renal Disease (PACE) study, a prospective cohort study on incident hemodialysis patients. Non-cardiac structures in the cardiac CT scan were reviewed and evaluated. The type and frequencies of non-cardiac incidental CT findings were summarized. Univariate and multivariate logistic regression were performed to analyze the associations between gender, older age, obesity, history of cardiovascular disease (CVD), smoking status, history of chronic pulmonary disease and history of cancer with presence of any incidental CT findings and, separately, pulmonary nodules. RESULTS: Among the 260 participants, a total of 229 non-cardiac incidental findings were observed in 145 participants (55.8% of all participants). Of these findings, pulmonary nodules were the most common incidental finding (24.2% of all findings), and 41.3% of them requiring further follow-up imaging per radiology recommendation. Vascular and gastrointestinal findings occurred in 11.8% and 15.3% of participants, respectively. Participants 65 years or older had a higher odds of any incidental findings (Odds Ratio (OR) =2.55; 95% Confidence Intervals (CI) 1.30, 4.99) and pulmonary nodules (OR = 4.80; 95% CI 2.51, 9.18). Prior history of CVD was independently and significantly associated with any incidental findings (OR = 2.00; 95% CI 1.19, 3.40); but not with the presence of pulmonary nodules. CONCLUSIONS: We demonstrate that the prevalence of incidental findings by cardiac CT scanning is extremely high among patients on hemodialysis. Further investigations to follow-up on the high occurrence of incidental findings during our research study and potentially clinical studies raises important practical, ethical and medico-legal issues that need to be carefully considered in research projects using imaging studies.
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spelling pubmed-40197882014-05-15 Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study Jaar, Bernard G Zhang, Lili Chembrovich, Svetlana V Sozio, Stephen M Shafi, Tariq Scialla, Julia J Tomaselli, Gordon F Lima, Joao A C Kao, Wen Hong Linda Parekh, Rulan S Meoni, Lucy A BMC Nephrol Research Article BACKGROUND: This is the first study that has examined non-cardiac incidental findings in research cardiac computed tomography (CT) of hemodialysis patients and their relationship with patient characteristics. METHODS: We performed a cross-sectional analysis in the Predictors of Arrhythmic and Cardiovascular Events in End-Stage Renal Disease (PACE) study, a prospective cohort study on incident hemodialysis patients. Non-cardiac structures in the cardiac CT scan were reviewed and evaluated. The type and frequencies of non-cardiac incidental CT findings were summarized. Univariate and multivariate logistic regression were performed to analyze the associations between gender, older age, obesity, history of cardiovascular disease (CVD), smoking status, history of chronic pulmonary disease and history of cancer with presence of any incidental CT findings and, separately, pulmonary nodules. RESULTS: Among the 260 participants, a total of 229 non-cardiac incidental findings were observed in 145 participants (55.8% of all participants). Of these findings, pulmonary nodules were the most common incidental finding (24.2% of all findings), and 41.3% of them requiring further follow-up imaging per radiology recommendation. Vascular and gastrointestinal findings occurred in 11.8% and 15.3% of participants, respectively. Participants 65 years or older had a higher odds of any incidental findings (Odds Ratio (OR) =2.55; 95% Confidence Intervals (CI) 1.30, 4.99) and pulmonary nodules (OR = 4.80; 95% CI 2.51, 9.18). Prior history of CVD was independently and significantly associated with any incidental findings (OR = 2.00; 95% CI 1.19, 3.40); but not with the presence of pulmonary nodules. CONCLUSIONS: We demonstrate that the prevalence of incidental findings by cardiac CT scanning is extremely high among patients on hemodialysis. Further investigations to follow-up on the high occurrence of incidental findings during our research study and potentially clinical studies raises important practical, ethical and medico-legal issues that need to be carefully considered in research projects using imaging studies. BioMed Central 2014-05-01 /pmc/articles/PMC4019788/ /pubmed/24885570 http://dx.doi.org/10.1186/1471-2369-15-68 Text en Copyright © 2014 Jaar 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 credited.
spellingShingle Research Article
Jaar, Bernard G
Zhang, Lili
Chembrovich, Svetlana V
Sozio, Stephen M
Shafi, Tariq
Scialla, Julia J
Tomaselli, Gordon F
Lima, Joao A C
Kao, Wen Hong Linda
Parekh, Rulan S
Meoni, Lucy A
Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study
title Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study
title_full Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study
title_fullStr Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study
title_full_unstemmed Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study
title_short Incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (PACE) study
title_sort incidental findings on cardiac computed tomography in incident hemodialysis patients: the predictors of arrhythmic and cardiovascular events in end-stage renal disease (pace) study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019788/
https://www.ncbi.nlm.nih.gov/pubmed/24885570
http://dx.doi.org/10.1186/1471-2369-15-68
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