Validating the surgical indication value of the LTB-S classification system for drug resistant tuberculosis
•We propose a patient classification system for resection of pulmonary tuberculosis based on lesion(s), treatment history, body and surgery (LTB-S), a scoring system based on objective clinical parameters for judging the prognosis of adjunctive surgery.•We found that LTB-S showed predictive value fo...
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Published in | International journal of infectious diseases Vol. 95; pp. 67 - 73 |
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01.06.2020
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Abstract | •We propose a patient classification system for resection of pulmonary tuberculosis based on lesion(s), treatment history, body and surgery (LTB-S), a scoring system based on objective clinical parameters for judging the prognosis of adjunctive surgery.•We found that LTB-S showed predictive value for the prognosis of the adjunctive surgery and could guide management of drug-resistant tuberculosis.•Multivariance analysis indicated that localized lesions were the most predictive clinical parameter for a successful therapeutic surgery and for minimal complication risks when combined with treatment history.
Currently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis.
We retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery.
Diffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3).
A classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis. |
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AbstractList | •We propose a patient classification system for resection of pulmonary tuberculosis based on lesion(s), treatment history, body and surgery (LTB-S), a scoring system based on objective clinical parameters for judging the prognosis of adjunctive surgery.•We found that LTB-S showed predictive value for the prognosis of the adjunctive surgery and could guide management of drug-resistant tuberculosis.•Multivariance analysis indicated that localized lesions were the most predictive clinical parameter for a successful therapeutic surgery and for minimal complication risks when combined with treatment history.
Currently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis.
We retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery.
Diffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3).
A classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis. Background: Currently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis. Methods: We retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery. Findings: Diffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3). Interpretation: A classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis. BACKGROUNDCurrently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis. METHODSWe retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery. FINDINGSDiffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3). INTERPRETATIONA classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis. Currently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis. We retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery. Diffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3). A classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis. |
Author | Yijun, Zhu Haijiang, Wang Heping, Xiao Shuihua, Lu Hui, Chen Lin, Wang Chaolin, Huang Fan, Xia Ka-Wing, Wong Wei, Chang Yanzheng, Song Yifei, Wang Zilu, Wen Xiyong, Dai |
Author_xml | – sequence: 1 givenname: Wang surname: Lin fullname: Lin, Wang organization: Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 2 givenname: Wang surname: Yifei fullname: Yifei, Wang organization: Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 3 givenname: Wen surname: Zilu fullname: Zilu, Wen organization: Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 4 givenname: Xia surname: Fan fullname: Fan, Xia organization: Department of Pulmonary Disease, 905Th Hospital of PLA Navy, Shanghai, China – sequence: 5 givenname: Chen surname: Hui fullname: Hui, Chen organization: Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 6 givenname: Zhu surname: Yijun fullname: Yijun, Zhu organization: Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 7 givenname: Xiao surname: Heping fullname: Heping, Xiao organization: Department of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China – sequence: 8 givenname: Lu surname: Shuihua fullname: Shuihua, Lu organization: Department of Tuberculosis, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 9 givenname: Dai orcidid: 0000-0003-0787-0562 surname: Xiyong fullname: Xiyong, Dai organization: Department of Thoracic Surgery, Wuhan Pulmonary Hospital, Wuhan, China – sequence: 10 givenname: Wang surname: Haijiang fullname: Haijiang, Wang organization: Department of Thoracic Surgery, The Third People's Hospital of Shenzhen, Shenzhen, China – sequence: 11 givenname: Huang surname: Chaolin fullname: Chaolin, Huang organization: Department of Thoracic Surgery, Wuhan Jinyintan Hospital, Wuhan, China – sequence: 12 givenname: Chang surname: Wei fullname: Wei, Chang organization: The Center of Thoracic Surgery,Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, China – sequence: 13 givenname: Wong surname: Ka-Wing fullname: Ka-Wing, Wong email: kwwong@gmail.com organization: Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China – sequence: 14 givenname: Song surname: Yanzheng fullname: Yanzheng, Song email: yanzhengsong@163.com organization: Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China |
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CitedBy_id | crossref_primary_10_1016_j_jinf_2023_09_004 crossref_primary_10_3389_fsurg_2021_689742 |
Cites_doi | 10.21037/jtd.2016.05.59 10.1183/09031936.00229514 10.1183/09031936.00073611 10.1016/S1473-3099(10)70139-0 10.1016/S1473-3099(11)70244-4 10.1093/icvts/ivt251 10.1016/j.athoracsur.2013.03.067 10.1093/ejcts/ezv228 10.1016/j.ijid.2015.01.019 10.1177/0218492316661958 10.1186/s40249-016-0214-x 10.1093/cid/ciw002 10.1186/1471-2334-9-91 10.1016/j.pneumo.2014.03.005 10.1016/0003-4975(96)00596-6 10.3201/eid2103.141343 10.1016/S0140-6736(10)60410-2 10.1016/j.ijid.2011.12.018 |
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Keywords | Treatment outcome XDR- TB Extensively drug resistant tuberculosis LTB-S Surgery Complication MDR-TB Multi-drug resistant tuberculosis WHO |
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SubjectTerms | Complication Extensively drug resistant tuberculosis LTB-S Multi-drug resistant tuberculosis Surgery Treatment outcome |
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Title | Validating the surgical indication value of the LTB-S classification system for drug resistant tuberculosis |
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