Study on the relationship between early clinical symptoms and prognosis of Japanese encephalitis: based on Group LASSO Logistic regression model

LIU Yan-chen; ZHANG Xiao-shu; CUI Xu-dong; JIN Na; ZHAO Xiang-kai; ZHAO Xin; ZHENG Hong-miao; LI Juan-sheng; SHEN Xi-ping; MENG Lei; REN Xiao-wei

doi:10.16462/j.cnki.zhjbkz.2021.08.005

Volume 25 Issue 8

Aug. 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(8): 891-897,934

LIU Yan-chen, ZHANG Xiao-shu, CUI Xu-dong, JIN Na, ZHAO Xiang-kai, ZHAO Xin, ZHENG Hong-miao, LI Juan-sheng, SHEN Xi-ping, MENG Lei, REN Xiao-wei. Study on the relationship between early clinical symptoms and prognosis of Japanese encephalitis: based on Group LASSO Logistic regression model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(8): 891-897,934. doi: 10.16462/j.cnki.zhjbkz.2021.08.005

Citation:

LIU Yan-chen, ZHANG Xiao-shu, CUI Xu-dong, JIN Na, ZHAO Xiang-kai, ZHAO Xin, ZHENG Hong-miao, LI Juan-sheng, SHEN Xi-ping, MENG Lei, REN Xiao-wei. Study on the relationship between early clinical symptoms and prognosis of Japanese encephalitis: based on Group LASSO Logistic regression model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(8): 891-897,934. doi: 10.16462/j.cnki.zhjbkz.2021.08.005

Citation:

LIU Yan-chen, ZHANG Xiao-shu, CUI Xu-dong, JIN Na, ZHAO Xiang-kai, ZHAO Xin, ZHENG Hong-miao, LI Juan-sheng, SHEN Xi-ping, MENG Lei, REN Xiao-wei. Study on the relationship between early clinical symptoms and prognosis of Japanese encephalitis: based on Group LASSO Logistic regression model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(8): 891-897,934. doi: 10.16462/j.cnki.zhjbkz.2021.08.005

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Study on the relationship between early clinical symptoms and prognosis of Japanese encephalitis: based on Group LASSO Logistic regression model

doi: 10.16462/j.cnki.zhjbkz.2021.08.005

1.
Department of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
2.
Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China

Funds:

Natural Science Foundation of Gansu Province 18JR3RA040

Natural Science Foundation of Gansu Province 20JR10RA598

More Information

Corresponding author: MENG Lei, E-mail: ccdcusc101@163.com; REN Xiao-wei, E-mail: renxw@lzu.edu.cn
Received Date: 2020-11-20
Rev Recd Date: 2021-02-05

Available Online: 2021-08-24

Publish Date: 2021-08-10

Abstract

Abstract

Objective To explore the application of Group least absolute shrinkage and selection operator (LASSO) Logistic regression model in the study of the relationship between early clinical symptoms and prognosis of Japanese encephalitis (JE). Methods The data on JE in Gansu Province between 2017 to 2018 were collected from the infectious diseases system of China information system for diseases control and prevention. The Group LASSO Logistic regression model of the prognostic factors of JE was established. Punishment parameters were selected through the cross-validation method to screen out early symptoms that affect the prognosis of JE. Results Of the 866 included JE patients, 764 had prognostic outcomes, of which 22.5% were dead, 12.6% had sequelae, 17.8% were improved, and 47.1% were cured. The selected variables were consciousness disorder, respiratory failure, changes in respiratory rhythm, increased muscle tone, and history of JE vaccination. Conclusion Group LASSO Logistic regression model could be used to screen out early clinical symptoms that have an impact on the prognosis, which is of great significance for early detection of patients who may have a poor prognosis.
- Group LASSO Logistic regression model,
- Japanese encephalitis,
- Early clinical symptoms,
- Prognosis

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References(18)

References

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