<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Naranjo FS</submitter><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>US National Kidney Foundation</funding><pagination>415-424</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8786004</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>2(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The four-variable kidney failure risk equation (KFRE) is a well-validated tool for patients with GFR &lt;60 ml/min per 1.73 m&lt;sup>2&lt;/sup> and incorporates age, sex, GFR, and urine albumin-creatinine ratio (ACR) to forecast individual risk of kidney failure. Implementing the KFRE in electronic medical records is challenging, however, due to low ACR testing in clinical practice. The aim of this study was to determine, when ACR is missing, whether to impute ACR from protein-to-creatinine ratio (PCR) or dipstick protein for use in the four-variable KFRE, or to use the three-variable KFRE, which does not require ACR.&lt;h4>Methods&lt;/h4>Using electronic health records from OptumLabs Data Warehouse, patients with eGFR &lt;60 ml/min per 1.73 m&lt;sup>2&lt;/sup> were categorized on the basis of </pubmed_abstract><journal>Kidney360</journal><pubmed_title>Estimating Kidney Failure Risk Using Electronic Medical Records.</pubmed_title><pmcid>PMC8786004</pmcid><funding_grant_id>R01DK115534</funding_grant_id><funding_grant_id>R01DK100446-01</funding_grant_id><funding_grant_id>R01 DK115534</funding_grant_id><funding_grant_id>R01 DK100446</funding_grant_id><pubmed_authors>Levey AS</pubmed_authors><pubmed_authors>Coresh J</pubmed_authors><pubmed_authors>Naranjo FS</pubmed_authors><pubmed_authors>Stempniewicz N</pubmed_authors><pubmed_authors>Grams ME</pubmed_authors><pubmed_authors>Sang Y</pubmed_authors><pubmed_authors>Ballew SH</pubmed_authors><pubmed_authors>Dunning SC</pubmed_authors></additional><is_claimable>false</is_claimable><name>Estimating Kidney Failure Risk Using Electronic Medical Records.</name><description>&lt;h4>Background&lt;/h4>The four-variable kidney failure risk equation (KFRE) is a well-validated tool for patients with GFR &lt;60 ml/min per 1.73 m&lt;sup>2&lt;/sup> and incorporates age, sex, GFR, and urine albumin-creatinine ratio (ACR) to forecast individual risk of kidney failure. Implementing the KFRE in electronic medical records is challenging, however, due to low ACR testing in clinical practice. The aim of this study was to determine, when ACR is missing, whether to impute ACR from protein-to-creatinine ratio (PCR) or dipstick protein for use in the four-variable KFRE, or to use the three-variable KFRE, which does not require ACR.&lt;h4>Methods&lt;/h4>Using electronic health records from OptumLabs Data Warehouse, patients with eGFR &lt;60 ml/min per 1.73 m&lt;sup>2&lt;/sup> were categorized on the basis of </description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2025-04-04T07:47:54.171Z</modification><creation>2025-04-04T07:47:54.171Z</creation></dates><accession>S-EPMC8786004</accession><cross_references><pubmed>35369014</pubmed><doi>10.34067/kid.0005592020</doi><doi>10.34067/KID.0005592020</doi></cross_references></HashMap>