The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The clinical characteristics and outcomes of patients with diabetes and secondary hyperglycaemia with coronavirus disease 2019: A single‐centre, retrospective, observational study in Wuhan
Open accessAbstract
Aim: To explore whether coronavirus disease 2019 (COVID‐19) patients with diabetes and secondary hyperglycaemia have different clinical characteristics and prognoses than those without significantly abnormal glucose metabolism. Materials and methods: We retrospectively analysed 166 COVID‐19 patients at Tongji Hospital (Wuhan) from 8 February to 21 March 2020. Clinical characteristics and outcomes (as of 4 April 2020) were compared among control (group 1), secondary hyperglycaemia (group 2: no diabetes history, fasting plasma glucose levels of ≥7.0 mmol/L once and HbA1c values <6.5%) and patients with diabetes (group 3). Results: Compared with group 1, groups 2 and 3 had higher rates of leukocytosis, neutrophilia, lymphocytopenia, eosinopenia and levels of hypersensitive C‐reactive protein, ferritin and d‐dimer ( P < .05 for all). Group 2 patients had higher levels of lactate dehydrogenase, prevalence of liver dysfunction and increased interleukin‐8 (IL‐8) than those in group 1, and a higher prevalence of increased IL‐8 was found in group 2 than in group 3 ( P < .05 for all). The proportions of critical patients in groups 2 and 3 were significantly higher compared with group 1 (38.1%, 32.8% vs. 9.5%, P < .05 for both). Groups 2 and 3 had significantly longer hospital stays than group 1, which was nearly 1 week longer. The composite outcomes risks were 5.47 (1.56‐19.82) and 2.61 (0.86‐7.88) times greater in groups 2 and 3 than in group 1. Conclusions: Hyperglycaemia in both diabetes and secondary hyperglycaemia patients with COVID‐19 may indicate poor prognoses. There were differences between patients with secondary hyperglycaemia and those with diabetes. We recommend that clinicians pay more attention to the blood glucose status of COVID‐19 patients, even those not diagnosed with diabetes before admission.
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Wan, Y., Shang, J., Graham, R., Baric, R. S., & Li, F. (2020) · Journal of Virology · doi:10.1128/jvi.00127-20 · Cited by 4,341
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185
Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes
Umpierrez, G. E., Isaacs, S. D., Bazargan, N., You, X., Thaler, L. M., & Kitabchi, A. E. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.3.8341 · Cited by 2,195
Norhammar, A., Tenerz, Å., Nilsson, G., Hamsten, A., Efendíc, S., Rydén, L., & Malmberg, K. (2002) · The Lancet · doi:10.1016/s0140-6736(02)09089-x · Cited by 1,112
Clinical Features of 69 Cases With Coronavirus Disease 2019 in Wuhan, China
Wang, Z., Yang, B., Li, Q., Wen, L., & Zhang, R. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa272 · Cited by 1,063
Cited by
Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19)
Zhou, Y., Chi, J., Lv, W., & Wang, Y. (2021) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3377 · Cited by 490
D-dimer level in COVID-19 infection: a systematic review
Rostami, M., & Mansouritorghabeh, H. (2020) · Expert Review of Hematology · doi:10.1080/17474086.2020.1831383 · Cited by 382
The Role of Nutrition in COVID-19 Susceptibility and Severity of Disease: A Systematic Review
James, P. T., Ali, Z., Armitage, A. E., Bonell, A., Cerami, C., Drakesmith, H., Jobe, M., Jones, K. S., Liew, Z., Moore, S. E., et al. (2021) · The Journal of Nutrition · doi:10.1093/jn/nxab059 · Cited by 147
“Hyperglycemia in those with and without a history of diabetes may indicate a poor prognosis in COVID-19 (83).”
BackgroundCOVID-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
Metadata
- Authors
- Zhang, Y., Li, H., Zhang, J., Cao, Y., Zhao, X., Yu, N., Gao, Y., Ma, J., Zhang, H., Zhang, J., Guo, X., & Liu, X.
- Venue
- Diabetes, Obesity and Metabolism
- Publisher
- Wiley
- Published
- 2020-06-17
- Volume
- 22
- Issue
- 8
- Pages
- 1443-1454
- ISSN
- 1462-8902 (ISSN-L)
- 1463-1326
- OpenAlex
- W3024925768
- Cited by
- 205
- References
- 5
- FWCI
- 5.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zhang, Y., Li, H., Zhang, J., Cao, Y., Zhao, X., Yu, N., Gao, Y., Ma, J., Zhang, H., Zhang, J., Guo, X., & Liu, X. (2020). The clinical characteristics and outcomes of patients with diabetes and secondary hyperglycaemia with coronavirus disease 2019: A single‐centre, retrospective, observational study in Wuhan. Diabetes, Obesity and Metabolism. https://doi.org/10.1111/dom.14086
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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