Cargando…

Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study

OBJECTIVES: To validate two previously presented models containing risk factors to identify patients with estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m(2) or eGFR <45 ml/min/1.73 m(2). METHODS: In random patients undergoing intravenous contrast-enhanced computed tomography (CEC...

Descripción completa

Detalles Bibliográficos
Autores principales: Schreuder, Sanne M., Stoker, Jaap, Bipat, Shandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334394/
https://www.ncbi.nlm.nih.gov/pubmed/27436026
http://dx.doi.org/10.1007/s00330-016-4478-0
_version_ 1782511844412358656
author Schreuder, Sanne M.
Stoker, Jaap
Bipat, Shandra
author_facet Schreuder, Sanne M.
Stoker, Jaap
Bipat, Shandra
author_sort Schreuder, Sanne M.
collection PubMed
description OBJECTIVES: To validate two previously presented models containing risk factors to identify patients with estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m(2) or eGFR <45 ml/min/1.73 m(2). METHODS: In random patients undergoing intravenous contrast-enhanced computed tomography (CECT) the following risk factors were assessed: history of urological/nephrological disease, hypertension, diabetes mellitus, anaemia, congestive heart failure, other cardiovascular disease or multiple myeloma or Waldenström disease. Data on kidney function, age, gender and type and indication of CECT were also registered. We studied two models: model A—diabetes mellitus, history of urological/nephrological disease, cardiovascular disease, hypertension; model B—diabetes mellitus, history of urological/nephrological disease, age >75 years and congestive heart failure. For each model, associations with eGFR <60 ml/min/1.73 m(2) or eGFR <45 ml/min/1.73 m(2) was studied. RESULTS: A total of 1,001 patients, mean age 60.36 years were included. In total, 92 (9.2 %) patients had an eGFR <60 ml/min/1.73 m(2) and 11 (1.1 %) patients an eGFR <45 ml/min/1.73 m(2). Model A detected 543 patients: 81 with eGFR <60 ml/min/1.73 m(2) (missing 11) and all 11 with eGFR <45 ml/min/1.73 m(2). Model B detected 420 patients: 70 (missing 22) with eGFR <60 ml/min/1.73 m(2) and all 11 with eGFR <45 ml/min/1.73 m(2). Associations were significant (p < 0.05). CONCLUSIONS: Model B resulted in the lowest superfluous eGFR measurements while detecting all patients with eGFR <45 ml/min/1.73 m(2) and nearly all with eGFR <60 ml/min/1.73 m(2). KEY POINTS: • Less than 10% of patients undergoing contrast-enhanced CT have an eGFR of <60ml/min/1.73m (2) • Four risk factors can be used to detect pre-existent kidney disease • It is safe to reduce eGFR measurements using a four-risk-factor model ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-016-4478-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5334394
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-53343942017-03-15 Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study Schreuder, Sanne M. Stoker, Jaap Bipat, Shandra Eur Radiol Computed Tomography OBJECTIVES: To validate two previously presented models containing risk factors to identify patients with estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m(2) or eGFR <45 ml/min/1.73 m(2). METHODS: In random patients undergoing intravenous contrast-enhanced computed tomography (CECT) the following risk factors were assessed: history of urological/nephrological disease, hypertension, diabetes mellitus, anaemia, congestive heart failure, other cardiovascular disease or multiple myeloma or Waldenström disease. Data on kidney function, age, gender and type and indication of CECT were also registered. We studied two models: model A—diabetes mellitus, history of urological/nephrological disease, cardiovascular disease, hypertension; model B—diabetes mellitus, history of urological/nephrological disease, age >75 years and congestive heart failure. For each model, associations with eGFR <60 ml/min/1.73 m(2) or eGFR <45 ml/min/1.73 m(2) was studied. RESULTS: A total of 1,001 patients, mean age 60.36 years were included. In total, 92 (9.2 %) patients had an eGFR <60 ml/min/1.73 m(2) and 11 (1.1 %) patients an eGFR <45 ml/min/1.73 m(2). Model A detected 543 patients: 81 with eGFR <60 ml/min/1.73 m(2) (missing 11) and all 11 with eGFR <45 ml/min/1.73 m(2). Model B detected 420 patients: 70 (missing 22) with eGFR <60 ml/min/1.73 m(2) and all 11 with eGFR <45 ml/min/1.73 m(2). Associations were significant (p < 0.05). CONCLUSIONS: Model B resulted in the lowest superfluous eGFR measurements while detecting all patients with eGFR <45 ml/min/1.73 m(2) and nearly all with eGFR <60 ml/min/1.73 m(2). KEY POINTS: • Less than 10% of patients undergoing contrast-enhanced CT have an eGFR of <60ml/min/1.73m (2) • Four risk factors can be used to detect pre-existent kidney disease • It is safe to reduce eGFR measurements using a four-risk-factor model ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-016-4478-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-07-19 2017 /pmc/articles/PMC5334394/ /pubmed/27436026 http://dx.doi.org/10.1007/s00330-016-4478-0 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Computed Tomography
Schreuder, Sanne M.
Stoker, Jaap
Bipat, Shandra
Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
title Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
title_full Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
title_fullStr Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
title_full_unstemmed Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
title_short Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
title_sort prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study
topic Computed Tomography
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334394/
https://www.ncbi.nlm.nih.gov/pubmed/27436026
http://dx.doi.org/10.1007/s00330-016-4478-0
work_keys_str_mv AT schreudersannem predictionofpresenceofkidneydiseaseinpatientsundergoingintravenousiodinatedcontrastenhancedcomputedtomographyavalidationstudy
AT stokerjaap predictionofpresenceofkidneydiseaseinpatientsundergoingintravenousiodinatedcontrastenhancedcomputedtomographyavalidationstudy
AT bipatshandra predictionofpresenceofkidneydiseaseinpatientsundergoingintravenousiodinatedcontrastenhancedcomputedtomographyavalidationstudy