{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T03:53:53Z","timestamp":1775274833276,"version":"3.50.1"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T00:00:00Z","timestamp":1724630400000},"content-version":"vor","delay-in-days":238,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Diabetes Research"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:p><jats:bold>Aim:<\/jats:bold> This study is aimed at assessing the prevalence of poor glycemic control using different metrics and its association with in\u2010hospital adverse outcomes.<\/jats:p><jats:p><jats:bold>Methods:<\/jats:bold> This cross\u2010sectional study was conducted in diabetic patients admitted to a third\u2010level hospital in Colombia between January and July 2022. Poor glycemic control was determined using capillary glucose metrics, including mean glucose values outside the target range, derived time in range (dTIR) (100\u2013180\u2009mg\/dL) &lt;\u200970%, coefficient of variation (CV &gt; 36<jats:italic>%<\/jats:italic>), and hypoglycemia (&lt;70\u2009mg\/dL). Multiple regression models were adjusted for hospital outcomes based on glycemic control, as well as other sociodemographic and clinical covariates.<\/jats:p><jats:p><jats:bold>Results:<\/jats:bold> A total of 330 Hispanic patients were included. A total of 27.6% had mean glucose measurements outside the target range, 33% had a high CV, 64.8% had low dTIR, and 28.8% experienced hypoglycemia. The in\u2010hospital mortality rate was 8.8%. An admission HbA1c level greater than 7% was linked to an increased mortality risk (<jats:italic>p<\/jats:italic> = 0.016), as well as a higher average of glucometer readings (186\u2009mg\/dL vs. 143\u2009mg\/dL; <jats:italic>p<\/jats:italic> &lt; 0.001). A lower average of dTIR (41.0% vs. 60.0%; <jats:italic>p<\/jats:italic> &lt; 0.001) was also associated with a higher mortality risk. Glycemic variability was correlated with an increased risk of mortality, hypoglycemia, delirium, and length of hospital stay (LOS).<\/jats:p><jats:p><jats:bold>Conclusion:<\/jats:bold> A significant number of hospitalized diabetic patients exhibit poor glycemic control, which has been found to be associated with adverse outcomes, including increased mortality. Metrics like dTIR and glycemic variability should be considered as targets for glycemic control, highlighting the need for enhanced management strategies.<\/jats:p>","DOI":"10.1155\/2024\/3451158","type":"journal-article","created":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T05:34:55Z","timestamp":1724736895000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Derived Time in Range and Other Metrics of Poor Glycemic Control Associated With Adverse Hospital Outcomes in Patients With Diabetes Mellitus Admitted to Non\u2010ICU Wards at a Tertiary\u2010Level Hospital in Colombia: A Cross\u2010Sectional Study"],"prefix":"10.1155","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3088-3778","authenticated-orcid":false,"given":"Edwin","family":"Mora 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