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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 11
Nov.  2021
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CHEN Guang-min, LAN Mei-fang, CHEN Xiao-hong, XIE Jian-feng, OU Jian-ming, ZHENG Kui-cheng. Case-control study on severe risk factors in COVID-19 patients in Fujian Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(11): 1327-1331. doi: 10.16462/j.cnki.zhjbkz.2021.11.016
Citation: CHEN Guang-min, LAN Mei-fang, CHEN Xiao-hong, XIE Jian-feng, OU Jian-ming, ZHENG Kui-cheng. Case-control study on severe risk factors in COVID-19 patients in Fujian Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(11): 1327-1331. doi: 10.16462/j.cnki.zhjbkz.2021.11.016

Case-control study on severe risk factors in COVID-19 patients in Fujian Province

doi: 10.16462/j.cnki.zhjbkz.2021.11.016
Funds:  Fujian Provincial Natural Science Foundation Project (2021R0111, 2020J01094); Special Project of the Central Government Guiding Local Science and Technology Development (2021L3018); Fujian Science and Technology Innovation Platform Construction Project (2019Y2001)
More Information
  • Corresponding author: ZHENG Kui-cheng, E-mail: kingdadi9909@126.com
  • Received Date: 2021-05-24
  • Rev Recd Date: 2021-08-10
  • Available Online: 2021-12-04
  • Publish Date: 2021-11-10
  •   Objective  To analyze the epidemiological characteristics and laboratory tests of coronavirus diseases 2019(COVID-19) cases in Fujian province and to explore the risk factors for their progression to severe cases.  Methods  The clinical and epidemiological data of COVID-19 confirmed patients with clinical final outcome (including recovery death, etc.) from January 22 to March 7 in 2020 in Fujian were collected. The risk factors of the severe cases were analyzed by univariate and multivariate Logistic regression.  Results  Up to March 7, 2020, a total of 231 patients were collected in Fujian province, among which, 39(16.88%) were severe and critical cases. The univariate analysis showed that most patients in the severe group had underlying diseases (71.80%), which was significantly higher than that in the non-severe group (34.40%) (χ2 =18.808, P < 0.001). Among them, hypertension, cardiovascular disease, lung disease, other chronic diseases and other factors were statistically different between the two groups (all P < 0.05).Then, numbers of hematological tests were statistical differences between the two groups. Multivariate Logistic regression analysis revealed that age≥65 years old (OR=17.067, 95%CI: 2.640-110.327), low level of lymphocyte (OR=4.731, 95%CI: 1.175-19.046), liver dysfunction (OR=12.458, 95%CI: 2.559-60.649), high level of calcitonin (OR=3.577, 95%CI: 1.733-7.384) and high level of C-reaction protein (OR=2.354, 95%CI: 1.012-5.478) were risk factors for the progression of COVID-19 patients to severe illness. The obtained regression equation fits the training sample well (AUC=0.941).  Conclusions  Low level of lymphocyte, liver dysfunction, high level of calcitonin and high level of C-reaction protein could be used as the early warning indicators for severe cases. More attention should be paid to elderly patients age≥65 years old and patients with the above laboratory test abnormality and timely and effective treatment should be taken.
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