<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Tuttle KR</submitter><funding>NIDDK NIH HHS</funding><pagination>101130</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12145773</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>47</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>A contemporary description and estimates for rates of chronic kidney disease (CKD) in type 1 diabetes are needed to inform risk reduction strategies. The study aim was to assess prevalence and severity of CKD based on a population with type 1 diabetes receiving care at a large United States health system.&lt;h4>Methods&lt;/h4>Type 1 diabetes was identified through the Providence health system electronic health records during 2013-2022. Prevalent CKD was defined cross-sectionally by ≥ 90-day persistence of estimated glomerular filtration rate (eGFR) &lt; 60 mL/min/1.73 m&lt;sup>2&lt;/sup>, urine albumin-to-creatinine ratio ≥30 mg/g, or urine protein-to-creatinine ratio ≥0.15 g/g. Multivariable logistic regression models analyzed variable associations with CKD and severe kidney disease (</pubmed_abstract><journal>Lancet regional health. Americas</journal><pubmed_title>Prevalence and severity of chronic kidney disease in a population with type 1 diabetes from a United States health system: a real-world cohort study.</pubmed_title><pmcid>PMC12145773</pmcid><funding_grant_id>P30 DK017047</funding_grant_id><pubmed_authors>Duru OK</pubmed_authors><pubmed_authors>Neumiller JJ</pubmed_authors><pubmed_authors>Nicholas SB</pubmed_authors><pubmed_authors>Xu F</pubmed_authors><pubmed_authors>Norris KC</pubmed_authors><pubmed_authors>CURE-CKD Consortium</pubmed_authors><pubmed_authors>Tuttle KR</pubmed_authors><pubmed_authors>Greenbaum C</pubmed_authors><pubmed_authors>Kornowske LM</pubmed_authors><pubmed_authors>Pavkov ME</pubmed_authors><pubmed_authors>Jones CR</pubmed_authors><pubmed_authors>Alicic RZ</pubmed_authors><pubmed_authors>Reynolds CL</pubmed_authors><pubmed_authors>Daratha KB</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prevalence and severity of chronic kidney disease in a population with type 1 diabetes from a United States health system: a real-world cohort study.</name><description>&lt;h4>Background&lt;/h4>A contemporary description and estimates for rates of chronic kidney disease (CKD) in type 1 diabetes are needed to inform risk reduction strategies. The study aim was to assess prevalence and severity of CKD based on a population with type 1 diabetes receiving care at a large United States health system.&lt;h4>Methods&lt;/h4>Type 1 diabetes was identified through the Providence health system electronic health records during 2013-2022. Prevalent CKD was defined cross-sectionally by ≥ 90-day persistence of estimated glomerular filtration rate (eGFR) &lt; 60 mL/min/1.73 m&lt;sup>2&lt;/sup>, urine albumin-to-creatinine ratio ≥30 mg/g, or urine protein-to-creatinine ratio ≥0.15 g/g. Multivariable logistic regression models analyzed variable associations with CKD and severe kidney disease (</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jul</publication><modification>2026-05-26T20:01:31.138Z</modification><creation>2026-05-26T03:06:19.097Z</creation></dates><accession>S-EPMC12145773</accession><cross_references><pubmed>40486991</pubmed><doi>10.1016/j.lana.2025.101130</doi></cross_references></HashMap>