{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:40:49Z","timestamp":1787312449954,"version":"build-2736575974"},"reference-count":25,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T00:00:00Z","timestamp":1609804800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100015769","name":"Dexcom, Inc.","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100015769","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Diabetes Sci Technol"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Excess carbohydrate intake during hypoglycemia can lead to rebound hyperglycemia (RH). We investigated associations between RH and use of real-time continuous glucose monitoring (rtCGM) and an rtCGM system\u2019s predictive alert.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>RH events were series of sensor glucose values (SGVs) &gt;180\u2009mg\/dL starting within two hours of an antecedent SGV &lt;70\u2009mg\/dL. Events were characterized by their frequency, duration (consecutive SGVs &gt;180\u2009mg\/dL \u00d7 five minutes), and severity (area under the glucose concentration-time curve). To assess the impact of rtCGM, data gathered during the four-week baseline phase (without rtCGM) and four-week follow-up phase (with rtCGM) from 75 participants in the HypoDE clinical trial (NCT02671968) of hypoglycemia-unaware individuals were compared. To assess the impact of predictive alerts, we identified a convenience sample of 24 518 users of an rtCGM system without predictive alerts who transitioned to a system whose predictive alert signals an SGV \u226455\u2009mg\/dL within 20\u2009minutes (Dexcom G5 and G6, respectively). RH events from periods of blinded versus unblinded rtCGM wear and from periods of G5 and G6 wear were compared with paired t tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Compared to RH events in the HypoDE baseline phase, the mean frequency, duration, and severity of events fell by 14%, 12%, and 23%, respectively, in the follow-up phase (all P &lt; .05). Compared to RH events during G5 use, the mean frequency, duration, and severity of events fell by 7%, 8%, and 13%, respectively, during G6 use (all P &lt; .001).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Rebound hypreglycemia can be objectively quantified and mitigated with rtCGM and rtCGM-based predictive alerts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1932296820982584","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T18:17:24Z","timestamp":1610561844000},"page":"677-682","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":26,"title":["Mitigation of Rebound Hyperglycemia With Real-Time Continuous Glucose Monitoring Data and Predictive Alerts"],"prefix":"10.1177","volume":"16","author":[{"given":"Giada","family":"Acciaroli","sequence":"first","affiliation":[{"name":"Dexcom, Inc., San Diego, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9243-5228","authenticated-orcid":false,"given":"John B.","family":"Welsh","sequence":"additional","affiliation":[{"name":"Dexcom, Inc., San Diego, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4518-5179","authenticated-orcid":false,"given":"Halis Kaan","family":"Akturk","sequence":"additional","affiliation":[{"name":"Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,1,5]]},"reference":[{"key":"bibr1-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1016\/j.physbeh.2003.12.003"},{"key":"bibr2-1932296820982584","unstructured":"Gialketsis R. Word to the Wise: A T1D Slang Dictionary [article online], 2013. https:\/\/www.jdrf.org\/blog\/2013\/06\/12\/word-to-the-wise-a-t1d-slang-dictionary\/. Accessed November 11, 2020."},{"key":"bibr3-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2012-1244"},{"key":"bibr4-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1007\/s12020-018-1633-1"},{"key":"bibr5-1932296820982584","doi-asserted-by":"publisher","DOI":"10.2169\/internalmedicine.4465-20"},{"key":"bibr6-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.19975"},{"key":"bibr7-1932296820982584","doi-asserted-by":"publisher","DOI":"10.2337\/dc19-0888"},{"key":"bibr8-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(18)30297-6"},{"key":"bibr9-1932296820982584","first-page":"193229681985933","volume":"2019","author":"Abraham SB","journal-title":"J Diabetes Sci Technol"},{"key":"bibr10-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2018.0359"},{"key":"bibr11-1932296820982584","doi-asserted-by":"publisher","DOI":"10.1177\/1932296815575999"},{"key":"bibr12-1932296820982584","unstructured":"Dexcom, Inc. Notice of Privacy Practices [article online], 2020. https:\/\/www.dexcom.com\/notice-of-privacy-practices. 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