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Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study
Open accessAbstract
Hyperglycaemia is associated with an elevated risk of mortality in community-acquired pneumonia, stroke, acute myocardial infarction, trauma and surgery, among other conditions. In this study, we examined the relationship between fasting blood glucose (FBG) and 28-day mortality in coronavirus disease 2019 (COVID-19) patients not previously diagnosed as having diabetes. We conducted a retrospective study involving all consecutive COVID-19 patients with a definitive 28-day outcome and FBG measurement at admission from 24 January 2020 to 10 February 2020 in two hospitals based in Wuhan, China. Demographic and clinical data, 28-day outcomes, in-hospital complications and CRB-65 scores of COVID-19 patients in the two hospitals were analysed. CRB-65 is an effective measure for assessing the severity of pneumonia and is based on four indicators, i.e. confusion, respiratory rate (>30/min), systolic blood pressure (≤90 mmHg) or diastolic blood pressure (≤60 mmHg), and age (≥65 years). Six hundred and five COVID-19 patients were enrolled, including 114 who died in hospital. Multivariable Cox regression analysis showed that age (HR 1.02 [95% CI 1.00, 1.04]), male sex (HR 1.75 [95% CI 1.17, 2.60]), CRB-65 score 1–2 (HR 2.68 [95% CI 1.56, 4.59]), CRB-65 score 3–4 (HR 5.25 [95% CI 2.05, 13.43]) and FBG ≥7.0 mmol/l (HR 2.30 [95% CI 1.49, 3.55]) were independent predictors for 28-day mortality. The OR for 28-day in-hospital complications in those with FBG ≥7.0 mmol/l and 6.1–6.9 mmol/l vs <6.1 mmol/l was 3.99 (95% CI 2.71, 5.88) or 2.61 (95% CI 1.64, 4.41), respectively. FBG ≥7.0 mmol/l at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes. Glycaemic testing and control are important to all COVID-19 patients even where they have no pre-existing diabetes, as most COVID-19 patients are prone to glucose metabolic disorders. Graphical abstract Graphical abstract
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Self-citationZhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Self-citationYang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066
Self-citationIntensive insulin therapy in critically ill patients.
Van den Berghe, G., Wouters, P., Weekers, F., Verwaest, C., Bruyninckx, F., Schetz, M., Vlasselaers, D., Ferdinande, P., Lauwers, P., & Bouillon, R. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011300 · Cited by 9,977
Wu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249
Self-citationKDIGO Clinical Practice Guidelines for Acute Kidney Injury
Khwaja, A. (2012) · Nephron Clinical Practice · doi:10.1159/000339789 · Cited by 8,014
Intensive versus Conventional Glucose Control in Critically Ill Patients
(2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810625 · Cited by 5,119
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Shi, H., Han, X., Jiang, N., Cao, Y., Alwalid, O., Gu, J., Fan, Y., & Zheng, C. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30086-4 · Cited by 3,664
Intensive insulin therapy in the medical ICU
Van den Berghe, G., Wilmer, A., Hermans, G., Meersseman, W., Wouters, P. J., Milants, I., Van Wijngaerden, E., Bobbaers, H., & Bouillon, R. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052521 · Cited by 3,639
Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death
The Emerging Risk Factors Collaboration (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008862 · Cited by 2,726
Cited by
Global pandemics interconnected — obesity, impaired metabolic health and COVID-19
Stefan, N., Birkenfeld, A. L., & Schulze, M. B. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-00462-1 · Cited by 452
COVID-19 and Diabetes: A Collision and Collusion of Two Diseases
Feldman, E. L., Savelieff, M. G., Hayek, S. S., Pennathur, S., Kretzler, M., & Pop-Busui, R. (2020) · Diabetes · doi:10.2337/dbi20-0032 · Cited by 136
Xia, S.-F., Maitiniyazi, G., Chen, Y., Wu, X.-Y., Zhang, Y., Zhang, X.-Y., Li, Z.-Y., Liu, Y., Qiu, Y.-Y., & Wang, J. (2022) · JMIR mhealth and uhealth · doi:10.2196/30571 · Cited by 40
Wallia, A., Prince, G., Touma, E., El Muayed, M., & Seley, J. J. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01366-0 · Cited by 23
Metadata
- Authors
- Wang, S., Ma, P., Zhang, S., Song, S., Wang, Z., Ma, Y., Xu, J., Wu, F., Duan, L., Yin, Z., Luo, H., Xiong, N., Xu, M., Zeng, T., & Jin, Y.
- Venue
- Diabetologia
- Published
- 2020-07-10
- Volume
- 63
- Issue
- 10
- Pages
- 2102-2111
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W3041005642
- Cited by
- 325
- References
- 27
- FWCI
- 8.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wang, S., Ma, P., Zhang, S., Song, S., Wang, Z., Ma, Y., Xu, J., Wu, F., Duan, L., Yin, Z., Luo, H., Xiong, N., Xu, M., Zeng, T., & Jin, Y. (2020). Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study. Diabetologia. https://doi.org/10.1007/s00125-020-05209-1
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