Skip to main content

Advertisement

Log in

BMI trajectories, associations with outcomes and predictors in elderly gastric cancer patients undergoing radical gastrectomy: a prospective longitudinal observation study

  • Published:
Journal of Cancer Survivorship Aims and scope Submit manuscript

Abstract

Objectives

Elderly gastric cancer patients undergoing radical gastrectomy are prone to experience unexpected weight loss. Preoperative weight risk prediction may be a promising way to prevent weight loss and improve prognosis. The objectives of this study were to explore the BMI trajectory of elderly gastric cancer patients one year after surgery, evaluate theirs the association with outcomes, and explore their related predictors, so as to provide evidence for weight management and prognosis improvement.

Methods

412 gastric cancer patients were included and recorded BMI at 6 time points. The trajectories of BMI were analyzed by growth mixture modeling, and the associations of BMI trajectories with outcomes as well as their predictors were investigated by regression models.

Results

We identified 3 classes of BMI trajectories: the “slow-decreasing BMI”, “rapid-decreasing BMI” and “maintaining BMI”. Compared with class1, patients in class 2 were more likely to have a higher frequency of readmission within 1-year(β = 0.59, 95%CI: 0.29, 0.89, P < 0.001) and a higher rate of mortality within 1-year(β = 24.74, 95%CI: 9.60, 63.74, P < 0.001) ; patients in class 3 were more likely to have a higher quality of life (β=-10.46, 95%CI: -17.70, -3.22, P = 0.005) and fewer readmission times within one year (β=-0.43, 95%CI: -0.77, -0.09, P = 0.015). Predictors of decreasing BMI trajectories were TNM stage, comorbidity, anxiety, family cohesion and social support(P < 0.05).

Conclusions

Our findings can provide a basis for screening high-risk elderly gastric cancer patients with poor prognosis, implementing risk stratification, formulating accurate weight management programs and improving prognosis.

Implications for Cancer Survivors

The results of our study can provide gastric cancer survivors with preoperative risk screening based on predictive factors so that nutritional support and weight management can be implemented in a timely manner to improve prognosis.

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

Similar content being viewed by others

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Libânio D, Rodrigues JR, Bento MJ, et al. Gastric cancer incidence and mortality trends 2007–2016 in three european countries [J]. Endoscopy. 2022;54(7):644–52. https://doi.org/10.1055/a-1673-1118.

    Article  PubMed  Google Scholar 

  2. Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin. 2021;71(3):209–49. https://doi.org/10.3322/caac.21660.

    Article  PubMed  Google Scholar 

  3. Wong MCS, Huang J, Chan PSF, et al. Global incidence and mortality of gastric cancer, 1980–2018 [J]. JAMA Netw Open. 2021;4(7):e2118457. https://doi.org/10.1001/jamanetworkopen.2021.18457.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Van Der Veen A, Brenkman HJF, Seesing MFJ, et al. Laparoscopic Versus Open Gastrectomy for Gastric Cancer (LOGICA): a multicenter randomized clinical trial [J]. J Clin Oncol. 2021;39(9):978–89. https://doi.org/10.1200/jco.20.01540.

    Article  PubMed  Google Scholar 

  5. Liang H. [The Precised management of surgical treatment for gastric cancer: interpretation of the 5th edition of Japanese gastric cancer treatment guideline and the 15th edition of Japanese classification for gastric cancer] [J]. Zhonghua Zhong Liu Za Zhi, 2019;41(3):168–72. https://doi.org/10.3760/cma.j.issn.0253-3766.2019.03.002.

  6. Wagner M, Probst P, Haselbeck-Köbler M, et al. The problem of appetite loss after major abdominal surgery: a systematic review [J]. Ann Surg. 2022;276(2):256–69. https://doi.org/10.1097/sla.0000000000005379.

    Article  PubMed  Google Scholar 

  7. Halpern AL, McCarter MD. Palliative management of gastric and esophageal cancer [J]. Surg Clin North Am. 2019;99(3):555–69. https://doi.org/10.1016/j.suc.2019.02.007.

    Article  PubMed  Google Scholar 

  8. Meng Q, Tan S, Jiang Y, et al. Post-discharge oral nutritional supplements with dietary advice in patients at nutritional risk after surgery for gastric cancer: a randomized clinical trial [J]. Clin Nutri (Edinburgh Scotland). 2021;40(1):40–6. https://doi.org/10.1016/j.clnu.2020.04.043.

    Article  CAS  Google Scholar 

  9. Davis JL, Selby LV, Chou JF, et al. Patterns and predictors of weight loss after gastrectomy for cancer [J]. Ann Surg Oncol. 2016;23(5):1639–45. https://doi.org/10.1245/s10434-015-5065-3.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kim KW, Lee K, Lee JB, et al. Preoperative nutritional risk index and postoperative one-year skeletal muscle loss can predict the prognosis of patients with gastric adenocarcinoma: a registry-based study [J]. BMC Cancer. 2021;21(1):157. https://doi.org/10.1186/s12885-021-07885-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Demark-Wahnefried W, Schmitz KH, Alfano CM, et al. Weight management and physical activity throughout the cancer care continuum [J]. CA Cancer J Clin. 2018;68(1):64–89. https://doi.org/10.3322/caac.21441.

    Article  PubMed  Google Scholar 

  12. Janssen I, Heymsfield SB, Allison DB, et al. Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat [J]. Am J Clin Nutr. 2002;75(4):683–8. https://doi.org/10.1093/ajcn/75.4.683.

    Article  CAS  PubMed  Google Scholar 

  13. Lee HH, Park JM, Song KY, et al. Survival impact of postoperative body mass index in gastric cancer patients undergoing gastrectomy [J]. Eur J Cancer. 2016;52:129–37. https://doi.org/10.1016/j.ejca.2015.10.061.

    Article  PubMed  Google Scholar 

  14. Tokunaga M, Hiki N, Fukunaga T, et al. Better 5-year survival rate following curative gastrectomy in overweight patients [J]. Ann Surg Oncol. 2009;16(12):3245–51. https://doi.org/10.1245/s10434-009-0645-8.

    Article  PubMed  Google Scholar 

  15. Park JH, Kim E, Seol EM, et al. Prediction model for screening patients at risk of Malnutrition after gastric Cancer surgery [J]. Ann Surg Oncol. 2021;28(8):4471–81. https://doi.org/10.1245/s10434-020-09559-3.

    Article  PubMed  Google Scholar 

  16. Fujiya K, Kawamura T, Omae K, et al. Impact of malnutrition after gastrectomy for gastric cancer on long-term survival. [J]. Ann Surg Oncol. 2018;25(4):974–83. https://doi.org/10.1245/s10434-018-6342-8.

    Article  PubMed  Google Scholar 

  17. China WGOOL. Guidelines for prevention and control of overweight and obesity in chinese adults [J]. Acta Nutrimenta Sinica. 2004;26(1):1–4.

    Google Scholar 

  18. Yang M, Luo L, Jiang J. Development of the elderly disability assessment scale (II): the selection of items for the formal version [J]. Chin J Rehabil Med. 2014;29:212–7. https://doi.org/10.3969/j.issn.1001-1242.2014.03.004.

    Article  Google Scholar 

  19. Meng Q, Luo J, Wan C et al. Development and evaluation on Chinese version of measurement instrument of quality of life for patients with stomach cancer: EORTC QLQ-STO22 [J]. J Kunming Med Univ. 2012;33(10):34–8.

    CAS  Google Scholar 

  20. Rubenstein LZ, Harker JO, Salvà A, et al. Screening for undernutrition in geriatric practice: developing the short-form mini-nutritional assessment (MNA-SF) [J]. J Gerontol A Biol Sci Med Sci. 2001;56(6):M366-72. https://doi.org/10.1093/gerona/56.6.m366.

    Article  CAS  PubMed  Google Scholar 

  21. Norton S, Cosco T, Doyle F, et al. The hospital anxiety and depression scale: a meta confirmatory factor analysis [J]. J Psychosom Res. 2013;74(1):74–81. https://doi.org/10.1016/j.jpsychores.2012.10.010.

    Article  PubMed  Google Scholar 

  22. Fei L, Shen Q, Zheng Y, et al. Preliminary evaluation of Chinese version of FACES II and FES: comparison of normal families and families of schizophrenic [J]. Chin Mental Health J. 1991;5(5):198–202.

    Google Scholar 

  23. Zhang M, Gong X, Li W, et al. The influence of original family cohesion and adaptability on the puerperant postpartum depression [J]. J Wenzhou Med Univ. 2021;51(04):323–6. https://doi.org/10.3969/j.issn.2095-9400.2021.04.014.

    Article  Google Scholar 

  24. Thomas LH, McColle E, Priest J, et al. Newcastle satisfaction with nursing scales: an instrument for quality assessments of nursing care [J]. Qual Health Care. 1996;5(2):67–72. https://doi.org/10.1136/qshc.5.2.67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Xiao S-Y. The theoretical basis and research application of social support rating scale [J]. J Clin Psychiatry. 1994;4(2):98–100.

    Google Scholar 

  26. Kim SY. Determining the number of latent classes in single- and multi-phase growth mixture models [J]. Struct Equ Model. 2014;21(2):263–79. https://doi.org/10.1080/10705511.2014.882690.

    Article  Google Scholar 

  27. Mara CA, Carle AC. Understanding variation in longitudinal data using latent growth mixture modeling [J]. J Pediatr Psychol. 2021;46(2):179–88. https://doi.org/10.1093/jpepsy/jsab010.

    Article  PubMed  Google Scholar 

  28. Takata N, Kikuchi S, Kuroda S, et al. Effect of patient-participation continuous nutritional counseling in gastric cancer patients who underwent gastrectomy [J]. Ann Surg Oncol. 2023;30(2):1110–8. https://doi.org/10.1245/s10434-022-12572-3.

    Article  PubMed  Google Scholar 

  29. Lim HS, Lee B, Cho I, et al. Nutritional and clinical factors affecting Weight and Fat-Free Mass loss after gastrectomy in patients with gastric cancer [J]. Nutrients. 2020;12(7). https://doi.org/10.3390/nu12071905.

  30. Numico G, Longo V, Courthod G, et al. Cancer survivorship: long-term side-effects of anticancer treatments of gastrointestinal cancer [J]. Curr Opin Oncol. 2015;27(4):351–7. https://doi.org/10.1097/cco.0000000000000203.

    Article  CAS  PubMed  Google Scholar 

  31. Avgerinos KI, Spyroun N, Mantzoros CS. Obesity and cancer risk: emerging biological mechanisms and perspectives [J]. Metabolism. 2019;92:121–35. https://doi.org/10.1016/j.metabol.2018.11.001.

    Article  CAS  PubMed  Google Scholar 

  32. Thrift AP, Wenker TN, El-Serag HB. Global burden of gastric cancer: epidemiological trends, risk factors, screening and prevention [J]. Nat Rev Clin Oncol. 2023. https://doi.org/10.1038/s41571-023-00747-0.

    Article  PubMed  Google Scholar 

  33. Matsui R, Inaki N, Tsuji T, et al. Preoperative high visceral fat increases severe complications but improves long-term prognosis after gastrectomy for patients with advanced gastric cancer: a propensity score matching analysis [J]. Nutrients. 2022;14(20). https://doi.org/10.3390/nu14204236.

  34. Gonzalez MC, Pastore CA, Orlandi SP, et al. Obesity paradox in cancer: new insights provided by body composition [J]. Am J Clin Nutr. 2014;99(5):999–1005. https://doi.org/10.3945/ajcn.113.071399.

    Article  CAS  PubMed  Google Scholar 

  35. Simati S, Kokkinos A, Dalamaga M, et al. Obesity paradox: fact or fiction? [J]. Curr Obes Rep. 2023. https://doi.org/10.1007/s13679-023-00497-1.

    Article  PubMed  Google Scholar 

  36. Murphy WJ, Longo DL. The surprisingly positive association between obesity and cancer immunotherapy efficacy [J]. JAMA. 2019;321(13):1247–8. https://doi.org/10.1001/jama.2019.0463.

    Article  PubMed  Google Scholar 

  37. Choi YY, Kim H, Shin SJ, et al. Microsatellite instability and programmed cell death-ligand 1 expression in stage II/III gastric cancer: Post hoc analysis of the CLASSIC randomized controlled study [J]. Ann Surg. 2019;270(2):309–16. https://doi.org/10.1097/sla.0000000000002803.

    Article  PubMed  Google Scholar 

  38. Roh CK, Choi YY, Choi S, et al. Single patient classifier assay, microsatellite instability, and epstein-barr virus status predict clinical outcomes in stage II/III gastric cancer: results from CLASSIC trial [J]. Yonsei Med J. 2019;60(2):132–9. https://doi.org/10.3349/ymj.2019.60.2.132.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Elbaz-Greener G, Rozen G, Carasso S. The relationship between body mass index and In-hospital survival in patients admitted with acute heart failure [J]. Front Cardiovasc Med. 2022;9:855525. https://doi.org/10.3389/fcvm.2022.855525.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Lee HA, Park H. Comorbidity network analysis related to obesity in middle-aged and older adults: findings from korean population-based survey data [J]. Epidemiol Health. 2021;43:e2021018. https://doi.org/10.4178/epih.e2021018.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Panigrahi G. Ambs S. How comorbidities shape cancer biology and survival [J]. Trends Cancer 2021;7(6):488–95. https://doi.org/10.1016/j.trecan.2020.12.010.

  42. Choi J, Kim S, Choi M, et al. Factors affecting the quality of life of gastric cancer survivors [J]. Support Care Cancer. 2022;30(4):3215–24. https://doi.org/10.1007/s00520-021-06683-y.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Jeong A, An JY. The moderating role of social support on depression and anxiety for gastric cancer patients and their family caregivers [J]. PLoS ONE. 2017;12(12):e0189808. https://doi.org/10.1371/journal.pone.0189808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Kim GM, Kim SJ, Song SK, et al. Prevalence and prognostic implications of psychological distress in patients with gastric cancer [J]. BMC Cancer. 2017;20(1):283. https://doi.org/10.1186/s12885-017-3260-2.

    Article  Google Scholar 

  45. Torres-Blasco N, Castro-Figueroa EM, Zamorec C, et al. Family functioning and psychosocial symptoms among latinx patients coping with advanced cancer [J]. Palliat Support Care. 2022;1–4. https://doi.org/10.1017/s1478951522001201.

Download references

Acknowledgements

We thank the support from the National Natural Science Foundation of China and Jiangsu Higher Education Institution Research Project Contract for this study.

Funding

This study was supported by two projects: project “The exploration of trajectories and intervention program of frailty for gastric cancer survivors based on the health ecology theory” supported by the National Natural Science Foundation of China (NSFC) (No.82073407) and the Basic Science (Natural Science) of Jiangsu Higher Education Institution Research Project Contract (Project No. 22KJB320013).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Yinning Guo, Yimeng Chen and Xueyi Miao. The first draft of the manuscript was written by Yinning Guo and Yimeng Chen and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Xinyi Xu or Qin Xu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

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

Yinning Guo and Yimeng Chen contributed equally to this work and they are co-first authors.

Registration: ChiCTR2100052769

Supplementary information

Below is the link to the electronic supplementary material.

ESM 1

(DPCX 55.3 KB)

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

Guo, Y., Chen, Y., Miao, X. et al. BMI trajectories, associations with outcomes and predictors in elderly gastric cancer patients undergoing radical gastrectomy: a prospective longitudinal observation study. J Cancer Surviv (2023). https://doi.org/10.1007/s11764-023-01480-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11764-023-01480-4

Keywords

Navigation