Predictive Model for Preoperative Risk Assessment of Prolonged Pleural Effusion Following Lobectomy
https://doi.org/10.17238/2072-3180-2026-1-123-131
Abstract
Introduction. To develop a nomogram and a preoperative risk calculator for predicting prolonged pleural effusion (PPE) in patients undergoing lobectomy for lung cancer, aimed at early prevention of this complication.
Materials and methods. The study was conducted at the Thoracic Oncology Surgery Department of the Regional Oncology Dispensary in Ulyanovsk, Russia. It included patients who underwent lobectomy between January 1, 2023, and January 1, 2025 (State Registration Certificate № 2025621960 for the database). A total of 215 patients were analyzed, of whom 115 did not develop PPE and 100 experienced the complication. After statistical analysis, bootstrap resampling was applied and logistic regression calibration was performed using artificial intelligence-based machine learning techniques.
Results. The incidence of prolonged pleural effusion was 100 out of 215 patients (46,5 %). Multivariate analysis identified significant predictors: preoperative white blood cell, neutrophil, and lymphocyte counts; Tiffeneau index; and video-assisted thoracoscopic access. The developed predictive model demonstrated high sensitivity (85 %) and specificity (61,7 %).
Conclusion. The incidence of prolonged pleural effusion in this study was 46.5 %. A predictive model and interactive risk calculator for PPE following lobectomy have been developed.
About the Authors
R. F. ShagdaleevRussian Federation
Shagdaleev Roman Fatykhovich, M.D., Surgeon, Thoracic Oncology Department; Assistant, Department of Physiology and Pathophysiology, Institute of Medicine, Ecology and Physical Culture
90 12 Sentyabrya Street, Ulyanovsk, 432078
42 Lev Tolstoy Street, Ulyanovsk, 432071
SCOPUS ID: 1245970
E. A. Toneev
Russian Federation
Toneev Evgeny Aleksandrovich – Ph.D. (Medicine), Thoracic Surgeon, Thoracic Oncology Department; Associate Professor, Department of Hospital Surgery, Anesthesiology, Intensive Care, Urology, Traumatology and Orthopedics named after T.Z. Biktimirov
90 12 Sentyabrya Street, Ulyanovsk, 432078
42 Lev Tolstoy Street, Ulyanovsk, 432071
SCOPUS ID: 1043371
A. P. Vlasov
Russian Federation
Vlasov Aleksey Petrovich, Dr.Sci. (Med.), Professor, Head of the Department of Faculty Surgery with Courses in Topographic Anatomy and Operative Surgery, Urology and Pediatric Surgery
68 Bolshevistskaya St., Saransk 430005
ResearcherID: C-3981-2018, Scopus ID: 55543808600
A. V. Smolkina
Russian Federation
Smolkina Antonina Vasilievna – M.D., D.Sc. (Medicine), Professor, Head of the Department of General and Operative Surgery with Topographic Anatomy and Dentistry Course, Faculty of Medicine named after T.Z. Biktimirov, Institute of Medicine, Ecology and Physical Culture
42 Lev Tolstoy Street, Ulyanovsk, 432071
D. V. Glumnushina
Russian Federation
Glumnushina Daria Valerievna – Student, Faculty of Medicine named after T.Z. Biktimirov, Institute of Medicine, Ecology and Physical Culture
42 Lev Tolstoy Street, Ulyanovsk, 432071
N. D. Krymzalova
Russian Federation
Krymzalova Natalia Dmitrievna – Student, Faculty of Medicine named after T.Z. Biktimirov, Institute of Medicine, Ecology and Physical Culture
42 Lev Tolstoy Street, Ulyanovsk, 432071
M. A. Belova
Russian Federation
Belova Maria Aleksandrovna – Student, Faculty of Medicine named after T.Z. Biktimirov, Institute of Medicine, Ecology and Physical Culture
42 Lev Tolstoy Street, Ulyanovsk, 432071
S. V. Belova
Russian Federation
Belova Svetlana Victorovna – PhD (Medicine), Docent, Department of Hospital Surgery named after of V.I. Midlenko, Faculty of Medicine named after T.Z. Biktimirov, Institute of Medicine, Ecology and Physical Culture
42 Lev Tolstoy Street, Ulyanovsk, 432071
R. M. Evseev
Russian Federation
Evseev Roman Mikhailovich, PhD (Medicine), Docent, Department of General and Operative Surgery with Topographic Anatomy, Faculty of Medicine named after T.Z. Biktimirov, Institute of Medicine, Ecology and Physical Culture
42 Lev Tolstoy Street, Ulyanovsk, 432071
References
1. Toneev E.A., Shagdaleev R.F., Pikin O.V., Martynov A.A., Midlen- ko O.V., Chukanova G.R. The frequency and indicators of the development of prolonged pleuritis after lobectomy in lung cancer. Surgery News, 2023, № 31(5), рр. 351–361. (In Russ.).
2. Huang L., Kehlet H., & Petersen R. H. Reasons for staying in hospital after video-assisted thoracoscopic surgery lobectomy. BJS open, 2022, № 6(3), zrac050. https://doi.org/10.1093/bjsopen/zrac050
3. Xie H. Y., Xu K., Tang J. X., Bian W., Ma H. T., Zhao J., & Ni B. A prospective randomized, controlled trial deems a drainage of 300 ml/day safe before removal of the last chest drain after video-assisted thoracoscopic surgery lobectomy. Interactive cardiovascular and thoracic surgery, 2015, 21(2), рр. 200–205. https://doi.org/10.1093/icvts/ivv115
4. Olgac G., Cosgun T., Vayvada M., Ozdemir A., & Kutlu C. A. Low protein content of drainage fluid is a good predictor for earlier chest tube removal after lobectomy. Interactive cardiovascular and thoracic surgery, 2014, № 19(4), рр. 650–655. https://doi.org/10.1093/icvts/ivu207
5. Bevilacqua Filho C.T., Schmidt A.P., Felix E.A., Bianchi F., Guerra F.M., & Andrade C.F. Risk factors for postoperative pulmonary complications and prolonged hospital stay in pulmonary resection patients: a retrospective study. Brazilian journal of anesthesiology (Elsevier), 2021, 71(4), рр. 333–338. https://doi.org/10.1016/j.bjane.2021.02.003
6. Shagdaleev R.F., Belova M.A., Biryukov D.V., et al. Prospective database of patients after anatomical lung resection. Certificate of state registration of database № 2025621960, Russian Federation; published 2025 Apr 30. EDN KAQMWY. (In Russ.).
7. Shagdaleev R.F., Toneev E.A., Krymzalova N.D., et al. Method for predicting the risk of prolonged pleural effusion after lobectomy based on preoperative and intraoperative parameters. Patent № 2849128 C1, Russian Federation; published 2025 Mar 10. EDN UQYQYA. (In Russ.).
8. Shagdaleev R.F., Belova M.A., Minacheva A.D., et al. Calculator for preoperative prediction of prolonged pleural effusion risk after anatomical lung resection. Certificate of state registration of computer program № 2025660146, Russian Federation; published 2025 Apr 22. EDN AEALRP. (In Russ.).
9. Miyazaki T., Sakai T., Yamasaki N., Tsuchiya T., Matsumoto K., Tagawa T., Hatachi G., Tomoshige K., Mine M., Nagayasu T. Chest tube insertion is one important factor leading to intercostal nerve impairment in thoracic surgery. Gen Thorac Cardiovasc Surg., 2014, Jan; № 62(1), рр. 58–63. https://doi.org/10.1007/s11748-013-0328-z
10. Yakuwa K., Miyaji K., Kitamura T., Miyamoto T., Ono M., Kaneko Y. Neutrophil-to-lymphocyte ratio is prognostic factor of prolonged pleural effusion after pediatric cardiac surgery. JRSM Cardiovasc Dis., 2021, № 10, рр. 20480040211009438. https://doi.org/10.1177/20480040211009438
11. Shamji F.M. Controversies in Lung Cancer: When to Resect with Compromised Pulmonary Function. Thorac Surg Clin., 2021, Nov; № 31(4), рр. 485–495. https://doi.org/10.1016/j.thorsurg.2021.07.004
12. Тонеев Е.А., Шагдалеев Р.Ф., Пикин О.В., Мартынов А.А., Лисютин Р.И., Зулькарняев А.Ш. Прогностические индикаторы развития затяжного плеврального выпота после видеоассистированной и открытой лобэктомии при раке легкого. Российский медикобиологический вестник мимени академика И.П. Павлова, 2025. Т. 33, № 3. С. 369–376. https://doi.org/10.17816/PAVLOVJ627533 EDN: FDUBFK.
13. Li C., Kazzaz F.I., Scoon J.M., Estrada-Y-Martin R.M., Cherian S.V. Lymphocyte predominant exudative pleural effusions: a narrative review. Shanghai Chest., 2022, № 6, рр. 5. https://doi.org/10.21037/shc-21-11
14. Issaiy M., Zarei D., Saghazadeh A. Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models. World J Emerg Surg., 2023, Dec 19; № 18(1), рр. 59. https://doi.org/10.1186/s13017-023-00527-2
15. Shagdaleev R.F., Toneev E.A., Midlenko O.V., et al. Method for predicting the risk of prolonged pleural effusion after anatomical lung resections. Patent № 2838312 C1, Russian Federation; published 2025 Apr 14. EDN UQYQYA. (In Russ.).
Review
For citations:
Shagdaleev R.F., Toneev E.A., Vlasov A.P., Smolkina A.V., Glumnushina D.V., Krymzalova N.D., Belova M.A., Belova S.V., Evseev R.M. Predictive Model for Preoperative Risk Assessment of Prolonged Pleural Effusion Following Lobectomy. Moscow Surgical Journal. 2026;(1):123-131. (In Russ.) https://doi.org/10.17238/2072-3180-2026-1-123-131
JATS XML

















