Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Mar 30:12:640529.
doi: 10.3389/fendo.2021.640529. eCollection 2021.

Association Between Longitudinal Change in Abnormal Fasting Blood Glucose Levels and Outcome of COVID-19 Patients Without Previous Diagnosis of Diabetes

Affiliations

Association Between Longitudinal Change in Abnormal Fasting Blood Glucose Levels and Outcome of COVID-19 Patients Without Previous Diagnosis of Diabetes

Siwei Song et al. Front Endocrinol (Lausanne). .

Abstract

This retrospective study examined changes in fasting blood glucose (FBG) levels during hospitalization and their effect on risk of death for Coronavirus disease 2019 (COVID-19) patients without previously diagnosed diabetes. A model with low- and high-stable pattern trajectories was established based on a longitudinal change in FBG levels. We analyzed FBG trajectory-associated clinical features and risk factors for death due to COVID-19. Of the 230 enrolled patients, 44 died and 87.83% had a low-stable pattern (average FBG range: 6.63-7.54 mmol/L), and 12.17% had a high-stable pattern (average FBG range: 12.59-14.02 mmol/L). There were statistical differences in laboratory findings and case fatality between the two FBG patterns. Multivariable logistic regression analysis showed that increased neutrophil count (odds ratio [OR], 25.43; 95% confidence interval [CI]: 2.07, 313.03), elevated direct bilirubin (OR, 5.80; 95%CI: 1.72, 19.58), elevated creatinine (OR, 26.69; 95% CI: 5.82, 122.29), lymphopenia (OR, 8.07; 95% CI: 2.70, 24.14), and high-stable FBG pattern (OR, 8.79; 95% CI: 2.39, 32.29) were independent risk factors for higher case fatality in patients with COVID-19 and hyperglycemia but no history of diabetes. FBG trajectories were significantly associated with death risk in patients with COVID-19 and no diabetes.

Keywords: COVID-19; SARS-CoV-2; fasting blood glucose trajectory; glycemic control; longitudinal change.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of patient selection.
Figure 2
Figure 2
Fasting blood glucose trajectories with low-stable and high-stable patterns based on longitudinal change in fasting blood glucose.
Figure 3
Figure 3
Survival analysis between low-stable and high-stable pattern trajectories.

Similar articles

Cited by

References

    1. WHO . Coronavirus disease (COVID-19) pandemic. Available at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (Accessed 2021 February 17).
    1. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. Jama (2020) 323:1239–42. 10.1001/jama.2020.2648 - DOI - PubMed
    1. Benfield T, Jensen JS, Nordestgaard BG. Influence of diabetes and hyperglycaemia on infectious disease hospitalisation and outcome. Diabetologia (2007) 50:549–54. 10.1007/s00125-006-0570-3 - DOI - PubMed
    1. Rao Kondapally Seshasai S, Kaptoge S, Thompson A, Di Angelantonio E, Gao P, Sarwar N, et al. . Diabetes mellitus, fasting glucose, and risk of cause-specific death. New Engl J Med (2011) 364:829–41. 10.1056/NEJMoa1008862 - DOI - PMC - PubMed
    1. Yang JK, Feng Y, Yuan MY, Yuan SY, Fu HJ, Wu BY, et al. . Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabetic Med J Br Diabetic Assoc (2006) 23:623–8. 10.1111/j.1464-5491.2006.01861.x - DOI - PubMed

Publication types

MeSH terms