Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma
Abstract Background Identification of micropapillary and solid subtypes components in small-sized (≤ 2 cm) lung adenocarcinoma plays a crucial role in determining optimal surgical procedures. This study aims to propose a straightforward prediction method utilizing preoperative available indicators....
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| Format: | Article |
| Language: | English |
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BMC
2024-02-01
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| Series: | Journal of Cardiothoracic Surgery |
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| Online Access: | https://doi.org/10.1186/s13019-024-02528-x |
| _version_ | 1797273267414761472 |
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| author | BoHua Wei Yi Zhang Kejian Shi Xin Jin Kun Qian Peilong Zhang Teng Zhao |
| author_facet | BoHua Wei Yi Zhang Kejian Shi Xin Jin Kun Qian Peilong Zhang Teng Zhao |
| author_sort | BoHua Wei |
| collection | DOAJ |
| description | Abstract Background Identification of micropapillary and solid subtypes components in small-sized (≤ 2 cm) lung adenocarcinoma plays a crucial role in determining optimal surgical procedures. This study aims to propose a straightforward prediction method utilizing preoperative available indicators. Methods From January 2019 to July 2022, 341 consecutive patients with small-sized lung adenocarcinoma who underwent curative resection in thoracic surgery department of Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The patients were divided into two groups based on whether solid or micropapillary components ≥ 5% or not (S/MP5+ and S/MP5-). Univariate analysis and multivariate logistic regression analysis were utilized to identify independent predictors of S/MP5+. Then a nomogram was constructed to intuitively show the results. Finally, the calibration curve with a 1000 bootstrap resampling and the receiver operating characteristic (ROC) curve were depicted to evaluate its performance. Results According to postoperative pathological results, 79 (23.2%) patients were confirmed as S/MP5+ while 262 (76.8%) patients were S/MP5-. Based on multivariate analysis, maximum diameter (p = 0.010), consolidation tumor ratio (CTR) (p < 0.001) and systemic immune-inflammation index (SII) (p < 0.001) were identified as three independent risk factors and incorporated into the nomogram. The calibration curve showed good concordance between the predicted and actual probability of S/MP5+. Besides, the model showed certain discrimination, with an area under ROC curve of 0.893. Conclusions The model constructed based on SII is a practical tool to predict high-grade subtypes components of small-sized lung adenocarcinoma preoperatively and contribute to determine the optimal surgical approach. |
| first_indexed | 2024-03-07T14:41:59Z |
| format | Article |
| id | doaj.art-af5cffe553844f94968b6e3a791bee9f |
| institution | Directory Open Access Journal |
| issn | 1749-8090 |
| language | English |
| last_indexed | 2024-03-07T14:41:59Z |
| publishDate | 2024-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Cardiothoracic Surgery |
| spelling | doaj.art-af5cffe553844f94968b6e3a791bee9f2024-03-05T20:19:16ZengBMCJournal of Cardiothoracic Surgery1749-80902024-02-011911910.1186/s13019-024-02528-xPredictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinomaBoHua Wei0Yi Zhang1Kejian Shi2Xin Jin3Kun Qian4Peilong Zhang5Teng Zhao6Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical UniversityDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical UniversityDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical UniversityLaboratory of Respiratory Disease and Thoracic Surgery, KU LeuvenDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical UniversityDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical UniversityDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical UniversityAbstract Background Identification of micropapillary and solid subtypes components in small-sized (≤ 2 cm) lung adenocarcinoma plays a crucial role in determining optimal surgical procedures. This study aims to propose a straightforward prediction method utilizing preoperative available indicators. Methods From January 2019 to July 2022, 341 consecutive patients with small-sized lung adenocarcinoma who underwent curative resection in thoracic surgery department of Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The patients were divided into two groups based on whether solid or micropapillary components ≥ 5% or not (S/MP5+ and S/MP5-). Univariate analysis and multivariate logistic regression analysis were utilized to identify independent predictors of S/MP5+. Then a nomogram was constructed to intuitively show the results. Finally, the calibration curve with a 1000 bootstrap resampling and the receiver operating characteristic (ROC) curve were depicted to evaluate its performance. Results According to postoperative pathological results, 79 (23.2%) patients were confirmed as S/MP5+ while 262 (76.8%) patients were S/MP5-. Based on multivariate analysis, maximum diameter (p = 0.010), consolidation tumor ratio (CTR) (p < 0.001) and systemic immune-inflammation index (SII) (p < 0.001) were identified as three independent risk factors and incorporated into the nomogram. The calibration curve showed good concordance between the predicted and actual probability of S/MP5+. Besides, the model showed certain discrimination, with an area under ROC curve of 0.893. Conclusions The model constructed based on SII is a practical tool to predict high-grade subtypes components of small-sized lung adenocarcinoma preoperatively and contribute to determine the optimal surgical approach.https://doi.org/10.1186/s13019-024-02528-xLung adenocarcinomaSolidMicropapillarySystemic immune-inflammation indexNomogram |
| spellingShingle | BoHua Wei Yi Zhang Kejian Shi Xin Jin Kun Qian Peilong Zhang Teng Zhao Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma Journal of Cardiothoracic Surgery Lung adenocarcinoma Solid Micropapillary Systemic immune-inflammation index Nomogram |
| title | Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma |
| title_full | Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma |
| title_fullStr | Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma |
| title_full_unstemmed | Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma |
| title_short | Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma |
| title_sort | predictive value of systemic immune inflammation index in the high grade subtypes components of small sized lung adenocarcinoma |
| topic | Lung adenocarcinoma Solid Micropapillary Systemic immune-inflammation index Nomogram |
| url | https://doi.org/10.1186/s13019-024-02528-x |
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