Continuous glucose monitoring profile in COVID-19 patients with and without diabetes receiving methylprednisolone

被引:0
|
作者
He, Xingxing [1 ]
Duan, Guangchen [1 ]
Lu, Jingyi [2 ]
Wang, Yaxin [2 ]
Cai, Jinghao [2 ]
Tong, Yiqing [1 ]
Wu, Wei [1 ]
Ma, Xiaojing [2 ]
Feng, Qiming [1 ]
Zhou, Jian [2 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Sch Med, Dept Emergency Med, Shanghai 200233, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Shanghai Diabet Inst, Shanghai Clin Ctr Diabet,Sch Med,Shanghai Key Lab, Shanghai 200233, Peoples R China
关键词
COVID-19; Intermittently scanned continuous glucose monitoring; Methylprednisolone; Diabetes; Glucocorticoid-induced hyperglycemia; Glucose profile; HYPERGLYCEMIA;
D O I
10.1007/s12020-024-03841-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose Methylprednisolone is widely used during the COVID-19 epidemic. We aimed to evaluate the glucose profile of COVID-19 patients with and without diabetes receiving methylprednisolone. Methods 36 patients with COVID-19 admitted to hospital were included: 17 with and 19 without diabetes. Methylprednisolone 40 mg was administered at about 9:00 a.m. Glucose levels were assessed by blinded intermittently scanned continuous glucose monitoring (isCGM) for an average of 6.8 +/- 2.4 days. Excess hyperglycemia was defined as time above range (TAR) > 10.0 mmol/L (TAR(>10.0)) >= 25%, or TAR > 13.9 mmol/L (TAR(>13.9)) >= 10%. Results Glucose management indicator (GMI) was significantly higher than the admission glycated hemoglobin A(1c) (HbA(1c)) level in patients without diabetes [6.7 (6.1-7.0) % vs. 5.9 (5.9-6.1) %, P < 0.001], while no significant difference was found in patients with diabetes [9.0 (7.5-9.5) % vs. 8.9 (7.5-10.2) %, P > 0.05]. The difference between GMI and HbA(1c) (triangle GMI-HbA(1c)) in patients without diabetes was significantly higher than in patients with diabetes [0.7 (0.2-1.0) % vs. -0.2 (-1.5-0.5) %, P = 0.005]. The circadian patterns of glucose were similar in the two groups. In patients without diabetes, excess hyperglycemia occurred in 31.6% (6/19) of participants, with 31.6% (6/19) having a TAR(>10.0) >= 25%, while 21.1% (4/19) had a TAR(>13.9) >= 10%. Conclusion The impact of methylprednisolone on glycemia was more pronounced in COVID-19 patients without diabetes, compared to those with diabetes. A significant burden of methylprednisolone-induced hyperglycemia was observed in patients without diabetes.
引用
收藏
页码:556 / 563
页数:8
相关论文
共 50 条
  • [31] Individuals without diabetes: Characterization of glucose metabolism employing continuous glucose monitoring and ambulatory glucose profile (AGP) analysis
    Mazze, Roger S.
    Strock, Ellie
    Wesley, David
    Peyser, Thomas
    Cuddihy, Robert
    Borgman, Sarah
    Johnson, Mary
    DIABETES, 2007, 56 : A106 - A106
  • [32] SEVERITY SCORES IN COVID-19 PATIENTS WITH AND WITHOUT DIABETES MELLITUS
    Ozkan, Nurcan
    Kapil, Leslie
    Canto, Ana
    Varon, Joseph
    Ghaoui, Sammy
    Molina, Paloma
    Munoz, Jorge Martinez
    CHEST, 2024, 166 (04) : 5422A - 5422A
  • [33] Continuous Glucose Monitoring in the Intensive Care Unit During the COVID-19 Pandemic
    Agarwal, Shivani
    Mathew, Justin
    Davis, Georgia M.
    Shephardson, Alethea
    Levine, Ann
    Louard, Rita
    Urrutia, Agustina
    Perez-Guzman, Citlalli
    Umpierrez, Guillermo E.
    Peng, Limin
    Pasquel, Francisco J.
    DIABETES CARE, 2021, 44 (03) : 847 - 849
  • [34] Cardiovascular complications in COVID-19 patients with or without diabetes mellitus
    Abe, Temidayo
    Egbuche, Obiora
    Igwe, Joseph
    Jegede, Opeyemi
    Wagle, Bivek
    Olanipekun, Titilope
    Onwuanyi, Anekwe
    ENDOCRINOLOGY DIABETES & METABOLISM, 2021, 4 (02)
  • [35] Implementation of Continuous Glucose Monitoring in the Hospital: Emergent Considerations for Remote Glucose Monitoring During the COVID-19 Pandemic
    Galindo, Rodolfo J.
    Aleppo, Grazia
    Klonoff, David C.
    Spanakis, Elias K.
    Agarwal, Shivani
    Vellanki, Priya
    Olson, Darin E.
    Umpierrez, Guillermo E.
    Davis, Georgia M.
    Pasquel, Francisco J.
    JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY, 2020, 14 (04): : 822 - 832
  • [36] Facilitators and Barriers to Nursing Implementation of Continuous Glucose Monitoring (CGM) in Critically Ill Patients With COVID-19
    Faulds, Eileen R.
    Jones, Laureen
    McNett, Molly
    Smetana, Keaton S.
    May, Casey C.
    Sumner, Lyndsey
    Buschur, Elizabeth
    Exline, Matthew
    Ringel, Matthew D.
    Dungan, Kathleen
    ENDOCRINE PRACTICE, 2021, 27 (04) : 354 - 361
  • [37] Dexamethasone therapy in COVID-19 patients: implications and guidance for the management of blood glucose in people with and without diabetes
    Rayman, G.
    Lumb, A. N.
    Kennon, B.
    Cottrell, C.
    Nagi, D.
    Page, E.
    Voigt, D.
    Courtney, H. C.
    Atkins, H.
    Higgins, K.
    Platts, J.
    Dhatariya, K.
    Patel, M.
    Newland-Jones, P.
    Narendran, P.
    Kar, P.
    Burr, O.
    Thomas, S.
    Stewart, R.
    DIABETIC MEDICINE, 2021, 38 (01)
  • [38] A role for the diabetes nurse educator to telemedically support children with type 1 diabetes on continuous glucose monitoring? The COVID-19 lockdown experience
    Pica, Susana
    Morano, Carmen
    Diez, Luis-Rogelio
    PRIMARY CARE DIABETES, 2022, 16 (03) : 365 - 367
  • [39] The impact of COVID-19 vaccination on glycaemic control in children and adolescents with type 1 diabetes mellitus on continuous glucose monitoring
    Gouda, Niki
    Dimitriadou, Meropi
    Sotiriou, Georgia
    Christoforidis, Athanasios
    ACTA DIABETOLOGICA, 2022, 59 (12) : 1609 - 1614
  • [40] The impact of COVID-19 vaccination on glycaemic control in children and adolescents with type 1 diabetes mellitus on continuous glucose monitoring
    Niki Gouda
    Meropi Dimitriadou
    Georgia Sotiriou
    Athanasios Christoforidis
    Acta Diabetologica, 2022, 59 : 1609 - 1614