The Relationship Between Glycated Albumin and Time in Tight Range in Type 2 Diabetes

被引:0
作者
Ni, Jiaying [1 ,2 ,3 ]
Han, Wenshuo [1 ,2 ,3 ]
Wang, Yaxin [1 ,2 ,3 ]
Yu, Jiamin [1 ,2 ,3 ]
Lu, Wei [1 ,2 ,3 ]
Wang, Yufei [1 ,2 ,3 ]
Ma, Xiaojing [1 ,2 ,3 ]
Lu, Jingyi [1 ,2 ,3 ]
Zhou, Jian [1 ,2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Sch Med, Dept Endocrinol & Metab, Shanghai, Peoples R China
[2] Shanghai Diabet Inst, Shanghai Clin Ctr Diabet, Shanghai, Peoples R China
[3] Shanghai Key Lab Diabet Mellitus, Shanghai, Peoples R China
关键词
glycated albumin; time in tight range; type; 2; diabetes;
D O I
10.1111/1753-0407.70073
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims: Among the new glucose metrics derived from continuous glucose monitoring, the concept of time in tight range (TITR) has gained increasing attention. We aimed to assess the association between TITR and traditional glycemic indicators, such as glycated albumin (GA). Methods: A total of 310 patients with type 2 diabetes on a stable glucose-lowering regimen over the previous 3 months were enrolled. TITR and time in range (TIR) were calculated using continuous glucose monitoring data collected over a minimum of 5 days. Spearman correlation analysis was performed to assess the relationships between traditional glycemic indicators, including GA and HbA1c, with TITR and TIR. Receiver operating characteristic curves were used to evaluate the predictive value of GA for TITR > 50% and TIR > 70%. Results: The median levels of GA and HbA1c were 15.6% (14.0%, 17.3%) and 6.5% (6.1%, 7.1%), respectively. Median TITR and TIR were 70.0% (56.0%, 81.0%) and 91.0% (84.0%, 96.8%), respectively. Spearman correlation analysis showed a moderate negative relationship between GA and both TITR and TIR. The optimal GA cutoff for identifying either TITR > 50% or TIR > 70% was 17.4%. Moreover, combining GA with fasting plasma glucose or 2-h postprandial glucose significantly enhanced the ability to identify TITR > 50%, achieving performance comparable to the combination of HbA1c and plasma glucose. Conclusions: In patients with type 2 diabetes, a GA cutoff of 17.4% effectively identifies TITR > 50%.
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页数:9
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共 38 条
  • [1] Amer Diabet Assoc, 2011, DIABETES CARE, V34, pS11, DOI [10.2337/dc13-S011, 10.2337/dc14-S081, 10.2337/dc11-S011, 10.2337/dc12-s064, 10.2337/dc10-S011, 10.2337/dc11-S062, 10.2337/dc13-S067, 10.2337/dc10-S062, 10.2337/dc12-s011]
  • [2] 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2024
    不详
    [J]. DIABETES CARE, 2024, 47 : S111 - S125
  • [3] Clinical application guidelines for blood glucose monitoring in China (2022 edition)
    Bao, Yuqian
    Zhu, Dalong
    [J]. DIABETES-METABOLISM RESEARCH AND REVIEWS, 2022, 38 (08)
  • [4] Continuous glucose monitoring and metrics for clinical trials: an international consensus statement
    Battelino, Tadej
    Alexander, Charles M.
    Amiel, Stephanie A.
    Arreaza-Rubin, Guillermo
    Beck, Roy W.
    Bergenstal, Richard M.
    Buckingham, Bruce A.
    Carroll, James
    Ceriello, Antonio
    Chow, Elaine
    Choudhary, Pratik
    Close, Kelly
    Danne, Thomas
    Dutta, Sanjoy
    Gabbay, Robert
    Garg, Satish
    Heverly, Julie
    Hirsch, Irl B.
    Kader, Tina
    Kenney, Julia
    Kovatchev, Boris
    Laffel, Lori
    Maahs, David
    Mathieu, Chantal
    Mauricio, Didac
    Nimri, Revital
    Nishimura, Rimei
    Scharf, Mauro
    Del Prato, Stefano
    Renard, Eric
    Rosenstock, Julio
    Saboo, Banshi
    Ueki, Kohjiro
    Umpierrez, Guillermo E.
    Weinzimer, Stuart A.
    Phillip, Moshe
    [J]. LANCET DIABETES & ENDOCRINOLOGY, 2023, 11 (01) : 42 - 57
  • [5] Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range
    Battelino, Tadej
    Danne, Thomas
    Bergenstal, Richard M.
    Amiel, Stephanie A.
    Beck, Roy
    Biester, Torben
    Bosi, Emanuele
    Buckingham, Bruce A.
    Cefalu, William T.
    Close, Kelly L.
    Cobelli, Claudio
    Dassau, Eyal
    DeVries, J. Hans
    Donaghue, Kim C.
    Dovc, Klemen
    Doyle, Francis J.
    Garg, Satish
    Grunberger, George
    Heller, Simon
    Heinemann, Lutz
    Hirsch, Irl B.
    Hovorka, Roman
    Jia, Weiping
    Kordonouri, Olga
    Kovatchev, Boris
    Kowalski, Aaron
    Laffel, Lori
    Levine, Brian
    Mayorov, Alexander
    Mathieu, Chantal
    Murphy, Helen R.
    Nimri, Revital
    Norgaard, Kirsten
    Parkin, Christopher G.
    Renard, Eric
    Rodbard, David
    Saboo, Banshi
    Schatz, Desmond
    Stoner, Keaton
    Urakami, Tatsuiko
    Weinzimer, Stuart A.
    Phillip, Moshe
    [J]. DIABETES CARE, 2019, 42 (08) : 1593 - 1603
  • [6] Is It Time to Replace Time-in-Range with Time-in-Tight-Range? Maybe Not
    Beck, Roy W.
    [J]. DIABETES TECHNOLOGY & THERAPEUTICS, 2024, 26 (03) : 147 - 150
  • [7] A Comparison of Continuous Glucose Monitoring-Measured Time-in-Range 70-180 mg/dL Versus Time-in-Tight-Range 70-140 mg/dL
    Beck, Roy W.
    Raghinaru, Dan
    Calhoun, Peter
    Bergenstal, Richard M.
    [J]. DIABETES TECHNOLOGY & THERAPEUTICS, 2024, 26 (03) : 151 - 155
  • [8] American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update
    Blonde, Lawrence
    Umpierrez, Guillermo E.
    Reddy, S. Sethu
    McGill, Janet B.
    Berga, Sarah L.
    Bush, Michael
    Chandrasekaran, Suchitra
    DeFronzo, Ralph A.
    Einhorn, Daniel
    Gardner, Thomas W.
    Garg, Rajesh
    Garvey, W. Timothy
    Hirsch, Irl B.
    Hurley, Daniel L.
    Izuora, Kenneth
    Kosiborod, Mikhail
    Olson, Darin
    Patel, Shailendra B.
    Pop-Busui, Rodica
    Sadhu, Archana R.
    Samson, Susan L.
    Stec, Carla
    Tamborlane, William V., Jr.
    Tuttle, Katherine R.
    Twining, Christine
    Vella, Adrian
    Vellanki, Priyathama
    Weber, Sandra L.
    [J]. ENDOCRINE PRACTICE, 2022, 28 (10) : 923 - 1049
  • [9] Impact of time in tight range on all-cause and cardiovascular mortality in type 2 diabetes: A prospective cohort study
    Cai, Jinghao
    Liu, Jiechen
    Lu, Jingyi
    Ni, Jiaying
    Wang, Chunfang
    Chen, Lei
    Lu, Wei
    Zhu, Wei
    Xia, Tian
    Zhou, Jian
    [J]. DIABETES OBESITY & METABOLISM, 2025, 27 (04) : 2154 - 2162
  • [10] Time in Tight Glucose Range in Type 1 Diabetes: Predictive Factors and Achievable Targets in Real-World Users of the MiniMed 780G System
    Castaneda, Javier
    Arrieta, Arcelia
    van den Heuvel, Tim
    Battelino, Tadej
    Cohen, Ohad
    [J]. DIABETES CARE, 2024, 47 (05) : 790 - 797