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Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study

BACKGROUND: Only a subset of patients who enter stage 3 chronic kidney disease (CKD) progress to stage 4. Identifying which patients entering stage 3 are most likely to progress could improve outcomes, by allowing more appropriate referrals for specialist care, and spare those unlikely to progress t...

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Autores principales: Chase, Herbert S, Hirsch, Jamie S, Mohan, Sumit, Rao, Maya K, Radhakrishnan, Jai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258953/
https://www.ncbi.nlm.nih.gov/pubmed/25431293
http://dx.doi.org/10.1186/1471-2369-15-187
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author Chase, Herbert S
Hirsch, Jamie S
Mohan, Sumit
Rao, Maya K
Radhakrishnan, Jai
author_facet Chase, Herbert S
Hirsch, Jamie S
Mohan, Sumit
Rao, Maya K
Radhakrishnan, Jai
author_sort Chase, Herbert S
collection PubMed
description BACKGROUND: Only a subset of patients who enter stage 3 chronic kidney disease (CKD) progress to stage 4. Identifying which patients entering stage 3 are most likely to progress could improve outcomes, by allowing more appropriate referrals for specialist care, and spare those unlikely to progress the adverse effects and costliness of an unnecessarily aggressive approach. We hypothesized that compared to non-progressors, patients who enter stage 3 CKD and ultimately progress have experienced greater loss of renal function, manifested by impairment of metabolic function (anemia, worsening acidosis and mineral abnormalities), than is reflected in the eGFR at entry to stage 3. The purpose of this case-controlled study was to design a prediction model for CKD progression using laboratory values reflecting metabolic status. METHODS: Using data extracted from the electronic health record (EHR), two cohorts of patients in stage 3 were identified: progressors (eGFR declined >3 ml/min/1.73m(2)/year; n = 117) and non-progressors (eGFR declined <1 ml/min/1.73m(2); n = 364). Initial laboratory values recorded a year before to a year after the time of entry to stage 3, reflecting metabolic complications (hemoglobin, bicarbonate, calcium, phosphorous, and albumin) were obtained. Average values in progressors and non-progressors were compared. Classification algorithms (Naïve Bayes and Logistic Regression) were used to develop prediction models of progression based on the initial lab data. RESULTS: At the entry to stage 3 CKD, hemoglobin, bicarbonate, calcium, and albumin values were significantly lower and phosphate values significantly higher in progressors compared to non-progressors even though initial eGFR values were similar. The differences were sufficiently large that a prediction model of progression could be developed based on these values. Post-test probability of progression in patients classified as progressors or non-progressors were 81% (73% − 86%) and 17% (13% − 23%), respectively. CONCLUSIONS: Our studies demonstrate that patients who enter stage 3 and ultimately progress to stage 4 manifest a greater degree of metabolic complications than those who remain stable at the onset of stage 3 when eGFR values are equivalent. Lab values (hemoglobin, bicarbonate, phosphorous, calcium and albumin) are sufficiently different between the two cohorts that a reasonably accurate predictive model can be developed.
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spelling pubmed-42589532014-12-09 Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study Chase, Herbert S Hirsch, Jamie S Mohan, Sumit Rao, Maya K Radhakrishnan, Jai BMC Nephrol Research Article BACKGROUND: Only a subset of patients who enter stage 3 chronic kidney disease (CKD) progress to stage 4. Identifying which patients entering stage 3 are most likely to progress could improve outcomes, by allowing more appropriate referrals for specialist care, and spare those unlikely to progress the adverse effects and costliness of an unnecessarily aggressive approach. We hypothesized that compared to non-progressors, patients who enter stage 3 CKD and ultimately progress have experienced greater loss of renal function, manifested by impairment of metabolic function (anemia, worsening acidosis and mineral abnormalities), than is reflected in the eGFR at entry to stage 3. The purpose of this case-controlled study was to design a prediction model for CKD progression using laboratory values reflecting metabolic status. METHODS: Using data extracted from the electronic health record (EHR), two cohorts of patients in stage 3 were identified: progressors (eGFR declined >3 ml/min/1.73m(2)/year; n = 117) and non-progressors (eGFR declined <1 ml/min/1.73m(2); n = 364). Initial laboratory values recorded a year before to a year after the time of entry to stage 3, reflecting metabolic complications (hemoglobin, bicarbonate, calcium, phosphorous, and albumin) were obtained. Average values in progressors and non-progressors were compared. Classification algorithms (Naïve Bayes and Logistic Regression) were used to develop prediction models of progression based on the initial lab data. RESULTS: At the entry to stage 3 CKD, hemoglobin, bicarbonate, calcium, and albumin values were significantly lower and phosphate values significantly higher in progressors compared to non-progressors even though initial eGFR values were similar. The differences were sufficiently large that a prediction model of progression could be developed based on these values. Post-test probability of progression in patients classified as progressors or non-progressors were 81% (73% − 86%) and 17% (13% − 23%), respectively. CONCLUSIONS: Our studies demonstrate that patients who enter stage 3 and ultimately progress to stage 4 manifest a greater degree of metabolic complications than those who remain stable at the onset of stage 3 when eGFR values are equivalent. Lab values (hemoglobin, bicarbonate, phosphorous, calcium and albumin) are sufficiently different between the two cohorts that a reasonably accurate predictive model can be developed. BioMed Central 2014-11-27 /pmc/articles/PMC4258953/ /pubmed/25431293 http://dx.doi.org/10.1186/1471-2369-15-187 Text en © Chase et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chase, Herbert S
Hirsch, Jamie S
Mohan, Sumit
Rao, Maya K
Radhakrishnan, Jai
Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study
title Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study
title_full Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study
title_fullStr Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study
title_full_unstemmed Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study
title_short Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled study
title_sort presence of early ckd-related metabolic complications predict progression of stage 3 ckd: a case-controlled study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258953/
https://www.ncbi.nlm.nih.gov/pubmed/25431293
http://dx.doi.org/10.1186/1471-2369-15-187
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