Literature DB >> 35789280

Response to: Comment on short- and long-term prognosis of glycemic control in COVID-19 patients with type 2 diabetes.

K Zhan1,2, X Zhang3, B Wang4, Z Jiang5, X Fang2, S Yang6, H Jia1, L Li7, G Cao7, K Zhang8, X Ma2.   

Abstract

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Mesh:

Year:  2022        PMID: 35789280      PMCID: PMC9384456          DOI: 10.1093/qjmed/hcac162

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


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We would like to thank Dr Chu for their comments about our recent original article ‘Short- to long-term prognosis of glycemic control in COVID-19 patients with type 2 diabetes’. In response, we would like to add the following clarifications: We agree with the suggestion that the division into well-controlled and poorly controlled glycemic status based on long-term blood sugar control measurements, such as HbA1c or multiple times of blood sugar measurements before or after admission, could make the results more convincing. However, Huoshenshan Hospital and Taikang-Tongji hospital are two emergency field hospitals established during the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China. All the COVID-19 patients were admitted between February 12 and 10 April 2020, due to the suddenness of COVID-19 outbreak and the logistical difficulties, no more biochemical indicators were measured. Second, we agreed that pre-existing chronic diseases might affect the outcomes of COVID-19 patients. However, we first compared the characteristics between well-controlled and poorly controlled groups, with no significant difference in any pre-existing chronic diseases of the patients. Due to the limited sample size in our study, too many correction terms may lead to a reduction of the statistical power to find the effect of interest. Lastly, all the clinical symptoms were checked first by experienced doctors during admission then recorded in electronic medical records.

Funding

The present study was funded by the Outstanding Youth Science Foundation of Chongqing (cstc2020jcyj-jqX0014), Chongqing Talents: Exceptional Young Talents Project (CQYC202005003), and the Science Foundation for Outstanding Young People of the Army Medical University (grant to X.M. and L.L.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Conflict of interest: None declared.
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1.  Development and validation of a prognostic nomogram for predicting in-hospital mortality of COVID-19: a multicenter retrospective cohort study of 4086 cases in China.

Authors:  Li Li; Xiaoyu Fang; Lixia Cheng; Penghao Wang; Shen Li; Hao Yu; Yao Zhang; Nan Jiang; Tingting Zeng; Chao Hou; Jing Zhou; Shiru Li; Yingzi Pan; Yitong Li; Lili Nie; Yang Li; Qidi Sun; Hong Jia; Mengxia Li; Guoqiang Cao; Xiangyu Ma
Journal:  Aging (Albany NY)       Date:  2021-02-09       Impact factor: 5.682

2.  Post-sequelae one year after hospital discharge among older COVID-19 patients: A multi-center prospective cohort study.

Authors:  Xiaoyu Fang; Chao Ming; Yuan Cen; Hao Lin; Kegang Zhan; Sha Yang; Li Li; Guoqiang Cao; Qi Li; Xiangyu Ma
Journal:  J Infect       Date:  2021-12-10       Impact factor: 6.072

3.  Short- and long-term prognosis of glycemic control in COVID-19 patients with type 2 diabetes.

Authors:  K Zhan; X Zhang; B Wang; Z Jiang; X Fang; S Yang; H Jia; L Li; G Cao; K Zhang; X Ma
Journal:  QJM       Date:  2022-03-22

4.  Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis.

Authors:  Xiaoyu Fang; Shen Li; Hao Yu; Penghao Wang; Yao Zhang; Zheng Chen; Yang Li; Liqing Cheng; Wenbin Li; Hong Jia; Xiangyu Ma
Journal:  Aging (Albany NY)       Date:  2020-07-13       Impact factor: 5.682

  5 in total

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