Risk of Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) Among Patients with Type 2 Diabetes Mellitus on Anti-Hyperglycemic Medications

被引:1
|
作者
Olawore, Oluwasolape [1 ]
Turner, Lindsey E. [2 ,3 ]
Evans, Michael D. [3 ]
Johnson, Steven G. [4 ]
Huling, Jared D. [2 ]
Bramante, Carolyn T. [5 ]
Buse, John B. [6 ]
Sturmer, Til [1 ]
机构
[1] Univ N Carolina, Gillings Sch Global Publ Hlth, Dept Epidemiol, McGavran Greenberg Hall,135 Dauer Dr, Chapel Hill, NC 27599 USA
[2] Univ Minnesota, Sch Publ Hlth, Div Biostat & Hlth Data Sci, Minneapolis, MN USA
[3] Univ Minnesota, Clin & Translat Sci Inst, Minneapolis, MN USA
[4] Univ Minnesota, Inst Hlth Informat, Minneapolis, MN USA
[5] Univ Minnesota, Med Sch, Dept Med, Div Gen Internal Med, Minneapolis, MN USA
[6] Univ N Carolina, Sch Med, Dept Med, Div Endocrinol, Chapel Hill, NC 27599 USA
来源
CLINICAL EPIDEMIOLOGY | 2024年 / 16卷
基金
美国国家卫生研究院;
关键词
COVID-19; Long COVID; Type 2 diabetes Mellitus; Metformin; METFORMIN;
D O I
10.2147/CLEP.S458901
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Observed activity of metformin in reducing the risk of severe COVID-19 suggests a potential use of the antihyperglycemic in the prevention of post -acute sequelae of SARS-CoV-2 infection (PASC). We assessed the 3 -month and 6 -month risk of PASC among patients with type 2 diabetes mellitus (T2DM) comparing metformin users to sulfonylureas (SU) or dipeptidyl peptidase -4 inhibitors (DPP4i) users. Methods: We used de -identified patient level electronic health record data from the National Covid Cohort Collaborative (N3C) between October 2021 and April 2023. Participants were adults >= 18 years with T2DM who had at least one outpatient healthcare encounter in health institutions in the United States prior to COVID-19 diagnosis. The outcome of PASC was defined based on the presence of a diagnosis code for the illness or using a predicted probability based on a machine learning algorithm. We estimated the 3 -month and 6 -month risk of PASC and calculated crude and weighted risk ratios (RR), risk differences (RD), and differences in mean predicted probability. Results: We identified 5596 (mean age: 61.1 years; SD: 12.6) and 1451 (mean age: 64.9 years; SD 12.5) eligible prevalent users of metformin and SU/DPP4i respectively. We did not find a significant difference in risk of PASC at 3 months (RR = 0.86 [0.56; 1.32], RD = -3.06 per 1000 [-12.14; 6.01]), or at 6 months (RR = 0.81 [0.55; 1.20], RD = -4.91 per 1000 [-14.75, 4.93]) comparing prevalent users of metformin to prevalent users of SU/ DPP4i. Similar observations were made for the outcome definition using the ML algorithm. Conclusion: The observed estimates in our study are consistent with a reduced risk of PASC among prevalent users of metformin, however the uncertainty of our confidence intervals warrants cautious interpretations of the results. A standardized clinical definition of PASC is warranted for thorough evaluation of the effectiveness of therapies under assessment for the prevention of PASC. Plain Language Summary: Previous research suggests that metformin, due to its anti -viral, anti-inflammatory, and anti -thrombotic properties may reduce the risk of severe COVID-19. Given the shared etiology of COVID-19 and the post -acute sequelae of SARSCoV-2 (PASC), and the proposed inflammatory processes of PASC, metformin may also be a beneficial preventive option. We investigated the benefit of metformin for PASC prevention in a population of type 2 diabetes mellitus patients with a COVID-19 diagnosis who were on metformin or two other anti -hyperglycemic medications prior to infection with SARS-CoV-2. Our results were consistent with a reduction in the risk of PASC with the use of metformin, however, the imprecise confidence intervals obtained warrants further investigation of this association of the potential beneficial effect of metformin for preventing PASC in patients with medication -managed diabetes.
引用
收藏
页码:379 / 393
页数:15
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