Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China
Kui Liu,1,* Liyun Ai,2,* Jin Pan,3 Fangrong Fei,3 Songhua Chen,1 Yu Zhang,1 Wei Wang,1 Qian Wu,1 Bin Chen,1 Junhang Pan,1 Jieming Zhong3 1Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, Peo...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2022-05-01
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| Series: | Risk Management and Healthcare Policy |
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| Online Access: | https://www.dovepress.com/survival-analysis-and-associated-factors-for-pulmonary-tuberculosis-de-peer-reviewed-fulltext-article-RMHP |
| _version_ | 1818240316446081024 |
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| author | Liu K Ai L Pan J Fei F Chen S Zhang Y Wang W Wu Q Chen B Pan J Zhong J |
| author_facet | Liu K Ai L Pan J Fei F Chen S Zhang Y Wang W Wu Q Chen B Pan J Zhong J |
| author_sort | Liu K |
| collection | DOAJ |
| description | Kui Liu,1,* Liyun Ai,2,* Jin Pan,3 Fangrong Fei,3 Songhua Chen,1 Yu Zhang,1 Wei Wang,1 Qian Wu,1 Bin Chen,1 Junhang Pan,1 Jieming Zhong3 1Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China; 2Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China; 3Department of Non-Communicable Disease Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Junhang Pan; Jieming Zhong, Email jhpan@cdc.zj.cn; jmzhong@cdc.zj.cnBackground: Pulmonary tuberculosis (PTB) is a severe infection, and its factors that influence survival have not been explored in some developed regions. Therefore, this study aimed to identify the factors that influence TB survival in China.Methods: We acquired data of PTB deaths through matching two manage systems of PTB and mortality surveillance. The Kaplan–Meier method and Cox regression model were used to identify the significant factors under various survival times.Results: A total of 283 deaths were caused by PTB, in which 53.4% occurred during the first year. In the Cox regression model, regular sputum smear test could reduce the risk of PTB death from the result of one-, three-, and five-year survival; and history of PTB treatment could decline the risk of PTB death in the first year. Additionally, age of “ 75– 90 years” and positive result of sputum smear test significantly increased the risk of PTB death for the findings of three- and five-year survival, while age of “ 60– 75 years” could increase the probability of PTB death for five-year survival.Conclusion: To reduce PTB deaths, more attention should be paid to the older group especially in the first year. Regular sputum smear test could effectively reduce the mortality of PTB cases. More evidence-based interventions should be implemented to enhance the survival of patients with PTB.Keywords: tuberculosis, influencing factor, survival analysis |
| first_indexed | 2024-12-12T13:11:30Z |
| format | Article |
| id | doaj.art-fab4872dac4d4225a99c538acf962730 |
| institution | Directory Open Access Journal |
| issn | 1179-1594 |
| language | English |
| last_indexed | 2024-12-12T13:11:30Z |
| publishDate | 2022-05-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Risk Management and Healthcare Policy |
| spelling | doaj.art-fab4872dac4d4225a99c538acf9627302022-12-22T00:23:31ZengDove Medical PressRisk Management and Healthcare Policy1179-15942022-05-01Volume 151167117875637Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in ChinaLiu KAi LPan JFei FChen SZhang YWang WWu QChen BPan JZhong JKui Liu,1,* Liyun Ai,2,* Jin Pan,3 Fangrong Fei,3 Songhua Chen,1 Yu Zhang,1 Wei Wang,1 Qian Wu,1 Bin Chen,1 Junhang Pan,1 Jieming Zhong3 1Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China; 2Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China; 3Department of Non-Communicable Disease Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Junhang Pan; Jieming Zhong, Email jhpan@cdc.zj.cn; jmzhong@cdc.zj.cnBackground: Pulmonary tuberculosis (PTB) is a severe infection, and its factors that influence survival have not been explored in some developed regions. Therefore, this study aimed to identify the factors that influence TB survival in China.Methods: We acquired data of PTB deaths through matching two manage systems of PTB and mortality surveillance. The Kaplan–Meier method and Cox regression model were used to identify the significant factors under various survival times.Results: A total of 283 deaths were caused by PTB, in which 53.4% occurred during the first year. In the Cox regression model, regular sputum smear test could reduce the risk of PTB death from the result of one-, three-, and five-year survival; and history of PTB treatment could decline the risk of PTB death in the first year. Additionally, age of “ 75– 90 years” and positive result of sputum smear test significantly increased the risk of PTB death for the findings of three- and five-year survival, while age of “ 60– 75 years” could increase the probability of PTB death for five-year survival.Conclusion: To reduce PTB deaths, more attention should be paid to the older group especially in the first year. Regular sputum smear test could effectively reduce the mortality of PTB cases. More evidence-based interventions should be implemented to enhance the survival of patients with PTB.Keywords: tuberculosis, influencing factor, survival analysishttps://www.dovepress.com/survival-analysis-and-associated-factors-for-pulmonary-tuberculosis-de-peer-reviewed-fulltext-article-RMHPtuberculosisinfluencing factorsurvival analysis |
| spellingShingle | Liu K Ai L Pan J Fei F Chen S Zhang Y Wang W Wu Q Chen B Pan J Zhong J Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China Risk Management and Healthcare Policy tuberculosis influencing factor survival analysis |
| title | Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China |
| title_full | Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China |
| title_fullStr | Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China |
| title_full_unstemmed | Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China |
| title_short | Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China |
| title_sort | survival analysis and associated factors for pulmonary tuberculosis death evidence from the information system of tuberculosis disease and mortality surveillance in china |
| topic | tuberculosis influencing factor survival analysis |
| url | https://www.dovepress.com/survival-analysis-and-associated-factors-for-pulmonary-tuberculosis-de-peer-reviewed-fulltext-article-RMHP |
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