Volume 19 Issue 1
Jan.  2021
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WANG Jin, PENG Wan-sheng, ZHOU Rui, WANG Ya-ming, XYU Jia-li. Analysis of risk factors of children with severe hand-foot-mouth disease[J]. Chinese Journal of General Practice, 2021, 19(1): 20-23. doi: 10.16766/j.cnki.issn.1674-4152.001719
Citation: WANG Jin, PENG Wan-sheng, ZHOU Rui, WANG Ya-ming, XYU Jia-li. Analysis of risk factors of children with severe hand-foot-mouth disease[J]. Chinese Journal of General Practice, 2021, 19(1): 20-23. doi: 10.16766/j.cnki.issn.1674-4152.001719

Analysis of risk factors of children with severe hand-foot-mouth disease

doi: 10.16766/j.cnki.issn.1674-4152.001719
Funds:

 2016QK092

 Byycx1974

  • Received Date: 2020-05-28
    Available Online: 2022-02-19
  •   Objective  To observe the primary laboratory examination results of children with severe hand-foot-mouth disease (HFMD), determine their risk factors and establish a prediction model to provide early diagnosis and timely HFMD treatment.   Methods  Children with HFMD (including clinical diagnosis cases and confirmed cases) were included in the study. They were admitted to the First Affiliated Hospital of Bengbu Medical College from January 2019 to December 2019. The clinical symptoms, signs and major laboratory indicators were analysed, and statistically significant terms were further processed via multifactor logistic regression to build a regression model. ROC curves were drawn to evaluate the predictive effect of the model. Data were analysed using SPSS 26.0 software.   Results  The clinical data of 109 HFMD cases (including 41 mild cases and 68 severe cases), showed that body temperature of ≥ 38.9 ℃ (OR=2.943, 95% CI: 1.099-7.884), poor spirit (OR=5.899, 95% CI: 2.130-16.339), increased peripheral blood white blood cells (OR=4.386, 95% CI: 1.420-13.541) and abnormal electroencephalogram (OR=4.502, 95% CI: 1.714-11.821) were independent risk factors for severe HFMD. The regression equation of the prediction model was Logit (P)=-2.893+1.079X1+1.775X2+1.478X3+1.504X4. The sensitivity of the model was 61.0%, and its specificity was 83.8%. The area under the curve corresponding to the ROC curve was 0.843 (95% CI: 0.768-0.917).   Conclusion  Body temperature of ≥ 38.9 ℃, poor spirit, increased peripheral blood white blood cells and abnormal electroencephalogram are independent risk factors for severe HFMD. These risk factors can be used to establish a predictive logistic regression model for severe HFMD.

     

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