The predictive value of the preoperative systemic immune‐inflammation index in the occurrence of postoperative pneumonia in non‐small cell lung cancer: A retrospective study based on 1486 cases
Background To investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical non‐small cell lung cancer patients. Methods Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrosp...
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Published in | Thoracic cancer Vol. 14; no. 1; pp. 30 - 35 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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Melbourne
John Wiley & Sons Australia, Ltd
01.01.2023
John Wiley & Sons, Inc Wiley |
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Abstract | Background
To investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical non‐small cell lung cancer patients.
Methods
Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery‐related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed.
Results
A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51–65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000–1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001).
Conclusion
The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery.
SII had better efficiency in predicting POP (AUC: 0.751, p < 0.001), and SII = 483 was the optimal cutoff point (Youden index: 0.41, sensitivity: 68.3%, specificity: 72.7%), compared to preoperative NLR and PLR which showed NLR (AUC: 0.567) and PLR (AUC: 0.582). The SII level could also effectively predict the severity of pulmonary infection (AUC: 0.793, p < 0.001). |
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AbstractList | Abstract Background To investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical non‐small cell lung cancer patients. Methods Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery‐related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed. Results A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51–65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000–1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001). Conclusion The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery. To investigate the correlation between the preoperative systemic immune-inflammation index (pSII) and postoperative pneumonia (POP) in surgical non-small cell lung cancer patients. Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery-related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed. A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51-65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000-1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001). The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery. SII had better efficiency in predicting POP (AUC: 0.751, p < 0.001), and SII = 483 was the optimal cutoff point (Youden index: 0.41, sensitivity: 68.3%, specificity: 72.7%), compared to preoperative NLR and PLR which showed NLR (AUC: 0.567) and PLR (AUC: 0.582). The SII level could also effectively predict the severity of pulmonary infection (AUC: 0.793, p < 0.001). BackgroundTo investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical non‐small cell lung cancer patients.MethodsPatients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery‐related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed.ResultsA total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51–65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000–1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001).ConclusionThe pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery. Background To investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical non‐small cell lung cancer patients. Methods Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery‐related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed. Results A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51–65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000–1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001). Conclusion The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery. SII had better efficiency in predicting POP (AUC: 0.751, p < 0.001), and SII = 483 was the optimal cutoff point (Youden index: 0.41, sensitivity: 68.3%, specificity: 72.7%), compared to preoperative NLR and PLR which showed NLR (AUC: 0.567) and PLR (AUC: 0.582). The SII level could also effectively predict the severity of pulmonary infection (AUC: 0.793, p < 0.001). To investigate the correlation between the preoperative systemic immune-inflammation index (pSII) and postoperative pneumonia (POP) in surgical non-small cell lung cancer patients.BACKGROUNDTo investigate the correlation between the preoperative systemic immune-inflammation index (pSII) and postoperative pneumonia (POP) in surgical non-small cell lung cancer patients.Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery-related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed.METHODSPatients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery-related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed.A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51-65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000-1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001).RESULTSA total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51-65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000-1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001).The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery.CONCLUSIONThe pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery. |
Author | Qiu, Xiaoming Zhu, Daxing Shen, Wang Deng, Hanyu Qin, Changlong Tang, Xiaojun Zhou, Qinghua Li, Pengfei Jiang, Rui |
AuthorAffiliation | 1 Lung Cancer Center West China Hospital of Sichuan University Chengdu China |
AuthorAffiliation_xml | – name: 1 Lung Cancer Center West China Hospital of Sichuan University Chengdu China |
Author_xml | – sequence: 1 givenname: Rui surname: Jiang fullname: Jiang, Rui organization: West China Hospital of Sichuan University – sequence: 2 givenname: Pengfei surname: Li fullname: Li, Pengfei organization: West China Hospital of Sichuan University – sequence: 3 givenname: Wang orcidid: 0000-0002-9211-2901 surname: Shen fullname: Shen, Wang organization: West China Hospital of Sichuan University – sequence: 4 givenname: Hanyu orcidid: 0000-0001-5963-8103 surname: Deng fullname: Deng, Hanyu organization: West China Hospital of Sichuan University – sequence: 5 givenname: Changlong surname: Qin fullname: Qin, Changlong organization: West China Hospital of Sichuan University – sequence: 6 givenname: Xiaoming surname: Qiu fullname: Qiu, Xiaoming organization: West China Hospital of Sichuan University – sequence: 7 givenname: Xiaojun surname: Tang fullname: Tang, Xiaojun organization: West China Hospital of Sichuan University – sequence: 8 givenname: Daxing surname: Zhu fullname: Zhu, Daxing organization: West China Hospital of Sichuan University – sequence: 9 givenname: Qinghua orcidid: 0000-0001-6521-5123 surname: Zhou fullname: Zhou, Qinghua email: prof_qh_zhou@126.com organization: West China Hospital of Sichuan University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36495040$$D View this record in MEDLINE/PubMed |
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To investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical... To investigate the correlation between the preoperative systemic immune-inflammation index (pSII) and postoperative pneumonia (POP) in surgical non-small cell... BackgroundTo investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in surgical... SII had better efficiency in predicting POP (AUC: 0.751, p < 0.001), and SII = 483 was the optimal cutoff point (Youden index: 0.41, sensitivity: 68.3%,... Abstract Background To investigate the correlation between the preoperative systemic immune‐inflammation index (pSII) and postoperative pneumonia (POP) in... |
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SubjectTerms | Aged Antibiotics Blood Body mass index Cancer surgery Cancer therapies Carcinoma, Non-Small-Cell Lung - complications Carcinoma, Non-Small-Cell Lung - surgery Cardiovascular disease Chronic obstructive pulmonary disease Diabetes Female Hospitals Humans Infections Inflammation Inflammation - complications Lung cancer Lung Neoplasms - complications Lung Neoplasms - surgery Lymphocytes Male Males Middle Aged Neutrophils non‐small cell lung cancer Normal distribution Original Pneumonia Pneumonia - epidemiology Pneumonia - etiology Postoperative Complications - epidemiology Postoperative Complications - etiology postoperative pneumonia predictive value Prognosis Regression analysis Retrospective Studies Risk factors Statistical analysis surgery systemic immune‐inflammation index Thoracic surgery |
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Title | The predictive value of the preoperative systemic immune‐inflammation index in the occurrence of postoperative pneumonia in non‐small cell lung cancer: A retrospective study based on 1486 cases |
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