{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T06:45:27Z","timestamp":1793083527494,"version":"4.5.0"},"reference-count":17,"publisher":"The Endocrine Society","issue":"11","license":[{"start":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T00:00:00Z","timestamp":1742601600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["K23DK123384"],"award-info":[{"award-number":["K23DK123384"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Context<\/jats:title>\n                    <jats:p>Optimal glucose management in individuals with type 2 diabetes (T2D) and end-stage kidney disease (ESKD) on hemodialysis is challenging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>We compared the detection of glycemic excursions with continuous glucose monitoring (CGM) and capillary blood glucose testing (CBG) in this population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this prospective observational study, insulin-treated adults with T2D on hemodialysis for 90 or more days wore a Dexcom G6-Pro CGM. Participants were instructed to perform CBG testing up to 4 times daily. We compared differences in glucose metrics and described CGM patterns in relation to dialysis sessions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 59 participants (age 57.7 \u00b1 9 years, glycated hemoglobin A1c 7.09%), mean glucose measured by CBG and CGM was 165.7 \u00b1 41.8 and 188.9 \u00b1 45.0, with a time-in-range (TIR) of 68% \u00b1 23 and 51% \u00b1 26, respectively (P &amp;lt; .001). CGM detected that all participants had hyperglycemic episodes of 180\u2005mg\/dL, with time above range (TAR) of 180\u2005mg\/dL of 47.8% \u00b1 27, and 90% had episodes greater than 250\u2005mg\/dL, with TAR greater than 250\u2005mg\/dL of 20.9% \u00b1 21.7. CGM detected higher rates of hypoglycemia of less than 70\u2005mg\/dL, (47% vs 25%; P = .005) and less than 54\u2005mg\/dL, (25% vs 12%; P = .08) compared with CBG testing. Nocturnal and prolonged hypoglycemia less than 70\u2005mg\/dL were detected only by CGM (29% and 12%, respectively). CGM showed a pattern of improved glucose levels on predialysis days, lower glucose levels during hemodialysis, and a rapid rise during the postdialysis period.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In participants with T2D and ESKD on hemodialysis, CGM improved the detection of hyperglycemic and hypoglycemic events, particularly nocturnal and prolonged episodes. CGM revealed distinct glycemic patterns related to dialysis sessions, potentially enabling more personalized management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1210\/clinem\/dgaf187","type":"journal-article","created":{"date-parts":[[2025,3,23]],"date-time":"2025-03-23T03:33:26Z","timestamp":1742700806000},"page":"3049-3056","source":"Crossref","is-referenced-by-count":10,"title":["Continuous Glucose Monitoring Improves Detection of Glycemic Excursions in Hemodialysis Patients With Type 2 Diabetes"],"prefix":"10.1210","volume":"110","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9295-3225","authenticated-orcid":false,"given":"Rodolfo J","family":"Galindo","sequence":"first","affiliation":[{"name":"Division of Endocrinology, Diabetes and Metabolism, University of Miami Miller School of Medicine , Miami, FL 33136 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University of Miami Miller School of Medicine , Miami, FL 33136 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Limin","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Rollins School of Public Health, Emory University , Atlanta, GA 30322 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine R","family":"Tuttle","sequence":"additional","affiliation":[{"name":"Providence Medical Research Center, Providence Inland Northwest Health , Spokane, WA 99204 ,","place":["USA"]},{"name":"Division of Nephrology, Kidney Research Institute, University of Washington School of Medicine , Seattle, WA 98104 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guillermo E","family":"Umpierrez","sequence":"additional","affiliation":[{"name":"Division of Endocrinology, Department of Medicine, Emory University School of Medicine , Atlanta, GA 30303 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