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Cited by 1,602

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes

Open access
Zhu, Lihua, She, Zhi-Gang, Cheng, Xu, Qin, Juan-Juan, Zhang, Xiao-Jing, Cai, Jingjing, Lei, Fang, Wang, Haitao, Xie, Jing, Wang, Wenxin, Li, Haomiao, Zhang, Peng, Song, Xiaohui, Chen, Xi, Xiang, Mei, Zhang, Chaozheng, Bai, Liangjie, Xiang, Da, Chen, Ming-Ming, Liu, Yanqiong, Yan, Youqin, Liu, Mingyu, Mao, Weiming, Zou, Jinjing, Liu, Liming, Chen, Guohua, Luo, Pengcheng, Xiao, Bing, Zhang, Changjiang, Zhang, Zixiong, Lu, Zhigang, Wang, Junhai, Lu, Haofeng, Xia, Xigang, Wang, Daihong, Liao, Xiaofeng, Peng, Gang, Ye, Ping, Yang, Jun, Yuan, Yufeng, Huang, Xiaodong, Guo, Jiao, Zhang, Bing-Hong, Li, Hongliang·2020·Cell Metabolism
DOI 10.1016/j.cmet.2020.04.021
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Abstract

Type 2 diabetes (T2D) is a major comorbidity of COVID-19. However, the impact of blood glucose (BG) control on the degree of required medical interventions and on mortality in patients with COVID-19 and T2D remains uncertain. Thus, we performed a retrospective, multi-centered study of 7,337 cases of COVID-19 in Hubei Province, China, among which 952 had pre-existing T2D. We found that subjects with T2D required more medical interventions and had a significantly higher mortality (7.8% versus 2.7%; adjusted hazard ratio [HR], 1.49) and multiple organ injury than the non-diabetic individuals. Further, we found that well-controlled BG (glycemic variability within 3.9 to 10.0 mmol/L) was associated with markedly lower mortality compared to individuals with poorly controlled BG (upper limit of glycemic variability exceeding 10.0 mmol/L) (adjusted HR, 0.14) during hospitalization. These findings provide clinical evidence correlating improved glycemic control with better outcomes in patients with COVID-19 and pre-existing T2D.

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Metadata

Authors
Zhu, L., She, Z.-G., Cheng, X., Qin, J.-J., Zhang, X.-J., Cai, J., Lei, F., Wang, H., Xie, J., Wang, W., Li, H., Zhang, P., Song, X., Chen, X., Xiang, M., Zhang, C., Bai, L., Xiang, D., Chen, M.-M., Liu, Y., Yan, Y., Liu, M., Mao, W., Zou, J., Liu, L., Chen, G., Luo, P., Xiao, B., Zhang, C., Zhang, Z., Lu, Z., Wang, J., Lu, H., Xia, X., Wang, D., Liao, X., Peng, G., Ye, P., Yang, J., Yuan, Y., Huang, X., Guo, J., Zhang, B.-H., & Li, H.
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2020-06
Volume
31
Issue
6
Pages
1068-1077.e3
ISSN
1550-4131 (ISSN-L)
DOI
10.1016/j.cmet.2020.04.021
OpenAlex
W3021684016
Cited by
1,602
References
11
FWCI
220.84
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes. https://app.cochat.ai/papers/10.1016/j.cmet.2020.04.021
The paper
Zhu, L., She, Z.-G., Cheng, X., Qin, J.-J., Zhang, X.-J., Cai, J., Lei, F., Wang, H., Xie, J., Wang, W., Li, H., Zhang, P., Song, X., Chen, X., Xiang, M., Zhang, C., Bai, L., Xiang, D., Chen, M.-M., . . . Li, H. (2020). Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes. Cell Metabolism. https://doi.org/10.1016/j.cmet.2020.04.021

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.