Clinical outcomes and predictive modeling in COVID-19 patients with type 2 diabetes mellitus: a multicenter retrospective cohort study
T2DM is associated with increased levels of inflammatory and biochemical markers and a higher risk of ICU admission in COVID-19 patients. The predictive model, incorporating neutrophil count and lactate dehydrogenase, offers clinical utility. The study's findings can inform clinical strategies for managing COVID-19 patients with T2DM, particularly in predicting and mitigating adverse outcomes.
Authors
- Junxiong Pang (ORCID: https://orcid.org/0000-0002-9788-701X)
- Chun‐Ping Zeng (ORCID: https://orcid.org/0000-0002-3933-752X)
- Kaiheng Guo (ORCID: https://orcid.org/0000-0002-8168-4605)
- Weiping Sun (ORCID: https://orcid.org/0000-0001-8723-9855)
- Xiaoying Zhou (ORCID: https://orcid.org/0000-0003-2958-8672)
- Shaofeng Huang (ORCID: https://orcid.org/0000-0002-2565-0005)
- Jun-xu Lin
- Hai-ni Zhi
- Lu Xiao
Institutions
- Loudi Central Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12879-025-11578-y
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangzhou Medical University