Skip to main content

Advertisement

Log in

Clinical significance of the preoperative prognostic nutritional index on age/comorbidity burdens in patients with resectable non-small cell lung cancer

  • Original Article
  • Published:
Surgery Today Aims and scope Submit manuscript

Abstract

Purpose

Objective nutritional scoring systems using preoperative blood samples have shown the potential to predict the postoperative outcomes of patients with non-small cell lung cancer (NSCLC). However, it remains unclear whether the prognostic impact depends on age and comorbid burdens. We conducted this study to validate the impact of preoperative nutritional status, stratified with age and comorbidity.

Methods

We reviewed the preoperative prognostic nutritional index (PNI) and postoperative outcomes of 713 consecutive patients with completely resected NSCLC.

Results

We identified the optimal cutoff values of the PNI as 46. Significantly higher postoperative complication rates and worse survival rates were observed in the low PNI (≤ 46) group, regardless of age/comorbidity burdens. Multivariate analysis showed that a low PNI (≤ 46) was an independent prognostic factor for poor overall survival (hazard ratio: 2.5). A matched-pair analysis gave consistent results, showing that a low PNI (≤ 46) was an independent prognostic factor for poor overall survival (OS; hazard ratio: 1.8) and recurrence-free survival (RFS; hazard ratio: 1.6).

Conclusion

Nutritional status, indexed by the PNI, is a strong prognostic factor for the postoperative outcomes of patients undergoing curative resection for NSCL, regardless of age/comorbidity burdens.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Arends J, Bachmann P, Baracos V, Barthelemy N, Bertz H, Bozzetti F, et al. ESPEN guidelines on nutrition in cancer patients. Clin Nutr. 2017;36:11–48.

    Article  PubMed  Google Scholar 

  2. Marshall KM, Loeliger J, Nolte L, Kelaart A, Kiss NK. Prevalence of malnutrition and impact on clinical outcomes in cancer services: A comparison of two time points. Clin Nutr. 2019;38:644–51.

    Article  PubMed  Google Scholar 

  3. Batchelor TJP, Rasburn NJ, Abdelnour-Berchtold E, Brunelli A, Cerfolio RJ, Gonzalez M, et al. Guidelines for enhanced recovery after lung surgery: recommendations of the Enhanced Recovery After Surgery (ERAS®) Society and the European Society of Thoracic Surgeons (ESTS). Eur J Cardiothorac Surg. 2019;55:91–115.

    Article  PubMed  Google Scholar 

  4. Pallis AG, Gridelli C, Wedding U, Faivre-Finn C, Veronesi G, Jaklitsch M, et al. Management of elderly patients with NSCLC; updated expert’s opinion paper: EORTC Elderly Task Force, Lung Cancer Group and International Society for Geriatric Oncology. Ann Oncol. 2014;25:1270–83.

    Article  CAS  PubMed  Google Scholar 

  5. McKenna NP, Bews KA, Al-Refaie WB, Colibaseanu DT, Pemberton JH, Cima RR, et al. Assessing Malnutrition Before Major Oncologic Surgery: One Size Does Not Fit All. J Am Coll Surg. 2020;230:451–60.

    Article  PubMed  Google Scholar 

  6. Mori S, Usami N, Fukumoto K, Mizuno T, Kuroda H, Sakakura N, et al. The significance of the prognostic nutritional index in patients with completely resected non-small cell lung cancer. PLoS ONE. 2015;10: e0136897.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Okada S, Shimada J, Kato D, Tsunezuka H, Teramura S, Inoue M. Clinical significance of prognostic nutritional index after surgical treatment in lung cancer. Ann Thorac Surg. 2017;104:296–302.

    Article  PubMed  Google Scholar 

  8. Takahashi M, Sowa T, Tokumasu H, Gomyoda T, Okada H, Ota S, et al. Comparison of three nutritional scoring systems for outcomes after complete resection of non-small cell lung cancer. J Thorac Cardiovasc Surg. 2021;162:1257–68.

    Article  PubMed  Google Scholar 

  9. Soto-Perez-de-Celis E, Li D, Yuan Y, Lau YM, Hurria A. Functional versus chronological age: geriatric assessments to guide decision making in older patients with cancer. Lancet Oncol. 2018;19:e305–16.

    Article  PubMed  Google Scholar 

  10. Edwards BK, Noone AM, Mariotto AB, Simard EP, Boscoe FP, Henley SJ, et al. Annual Report to the Nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120:1290–314.

    Article  PubMed  Google Scholar 

  11. Mohile SG, Dale W, Somerfield MR, Schonberg MA, Boyd CM, Burhenn PS, et al. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology. J Clin Oncol. 2018;36:2326–47.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Park S, Ahn HJ, Yang M, Kim JA, Kim JK, Park SJ. The prognostic nutritional index and postoperative complications after curative lung cancer resection: A retrospective cohort study. J Thorac Cardiovasc Surg. 2020;160:276–85.

    Article  PubMed  Google Scholar 

  13. Sudarshan M, Murthy SC. Commentary: Using nutritional scoring systems to predict outcomes after lung cancer surgery: Food for thought. J Thorac Cardiovasc Surg. 2021;162:1270–1.

    Article  PubMed  Google Scholar 

  14. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47:1245–51.

    Article  CAS  PubMed  Google Scholar 

  15. Wang S, Wong ML, Hamilton N, Davoren JB, Jahan TM, Walter LC. Impact of age and comorbidity on non-small-cell lung cancer treatment in older veterans. J Clin Oncol. 2012;30:1447–55.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–13.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Yang HX, Woo KM, Sima CS, Bains MS, Adusumilli PS, Huang J, et al. Long-term Survival Based on the Surgical Approach to Lobectomy For Clinical Stage I Nonsmall Cell Lung Cancer: Comparison of Robotic, Video-assisted Thoracic Surgery, and Thoracotomy Lobectomy. Ann Surg. 2017;265:431–7.

    Article  PubMed  Google Scholar 

  18. Kanda Y. Investigation of the freely-available easy-to-use software “EZR” (Easy R) for medical statistics. Bone Marrow Transplant. 2013;48:452–8.

    Article  CAS  PubMed  Google Scholar 

  19. Koppie TM, Serio AM, Vickers AJ, Vora K, Dalbagni G, Donat SM, et al. Age-adjusted Charlson comorbidity score is associated with treatment decisions and clinical outcomes for patients undergoing radical cystectomy for bladder cancer. Cancer. 2008;112:2384–92.

    Article  PubMed  Google Scholar 

  20. Yang CC, Fong Y, Lin LC, Que J, Ting WC, Chang CL, et al. The age-adjusted Charlson comorbidity index is a better predictor of survival in operated lung cancer patients than the Charlson and Elixhauser comorbidity indices. Eur J Cardiothorac Surg. 2018;53:235–40.

    Article  PubMed  Google Scholar 

  21. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011;12:489–95.

    Article  PubMed  Google Scholar 

  22. Tominaga T, Nagasaki T, Akiyoshi T, Fukunaga Y, Honma S, Nagaoka T, et al. Prognostic nutritional index and postoperative outcomes in patients with colon cancer after laparoscopic surgery. Surg Today. 2020;50:1633–43.

    Article  PubMed  Google Scholar 

  23. Cheng YL, Sung SH, Cheng HM, Hsu PF, Guo CY, Yu WC, et al. Prognostic nutritional index and the risk of mortality in patients with acute heart failure. J Am Heart Assoc. 2017;6: e004876.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Schols AM, Ferreira IM, Franssen FM, Gosker HR, Janssens W, Muscaritoli M, et al. Nutritional assessment and therapy in COPD: a European Respiratory Society statement. Eur Respir J. 2014;44:1504–20.

    Article  PubMed  Google Scholar 

  25. Rueth NM, Parsons HM, Habermann EB, Groth SS, Virnig BA, Tuttle TM, et al. Surgical treatment of lung cancer: predicting postoperative morbidity in the elderly population. J Thorac Cardiovasc Surg. 2012;143:1314–23.

    Article  PubMed  Google Scholar 

  26. Birim O, Kappetein AP, Bogers AJ. Charlson comorbidity index as a predictor of long-term outcome after surgery for nonsmall cell lung cancer. Eur J Cardiothorac Surg. 2005;28:759–62.

    Article  PubMed  Google Scholar 

  27. Hurria A, Togawa K, Mohile SG, Owusu C, Klepin HD, Gross CP, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncol. 2011;29:3457–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Saji H, Ueno T, Nakamura H, Okumura N, Tsuchida M, Sonobe M, et al. A proposal for a comprehensive risk scoring system for predicting postoperative complications in octogenarian patients with medically operable lung cancer: JACS1303. Eur J Cardiothorac Surg. 2018;53:835–41.

    Article  PubMed  Google Scholar 

  29. Rivadeneira DE, Grobmyer SR, Naama HA, Mackrell PJ, Mestre JR, Stapleton PP, et al. Malnutrition-induced macrophage apoptosis. Surgery. 2001;129:617–25.

    Article  CAS  PubMed  Google Scholar 

  30. Wang JC, Xu Y, Huang ZM, Lu XJ. T cell exhaustion in cancer: Mechanisms and clinical implications. J Cell Biochem. 2018;119:4279–86.

    Article  CAS  PubMed  Google Scholar 

  31. Moses AW, Slater C, Preston T, Barber MD, Fearon KC. Reduced total energy expenditure and physical activity in cachectic patients with pancreatic cancer can be modulated by an energy and protein dense oral supplement enriched with n-3 fatty acids. Br J Cancer. 2004;90:996–1002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. van der Meij BS, Langius JA, Smit EF, Spreeuwenberg MD, von Blomberg BM, Heijboer AC, et al. Oral nutritional supplements containing (n-3) polyunsaturated fatty acids affect the nutritional status of patients with stage III non-small cell lung cancer during multimodality treatment. J Nutr. 2010;140:1774–80.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mamoru Takahashi.

Ethics declarations

Conflict of interest

We have no conflicts of interest to declare and received no funding for this study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Takahashi, M., Tokumasu, H., Ota, S. et al. Clinical significance of the preoperative prognostic nutritional index on age/comorbidity burdens in patients with resectable non-small cell lung cancer. Surg Today 53, 681–691 (2023). https://doi.org/10.1007/s00595-023-02650-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00595-023-02650-8

Keywords

Navigation