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Development and internal validation of laboratory prognostic score to predict 14-day mortality in terminally ill patients with gastrointestinal malignancy

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Abstract

Background

Few studies have developed an easy scoring system for the short-term survival of patients with gastrointestinal (GI) malignancy.

Methods

A total of 816 terminally ill patients with GI malignancy were admitted to our palliative care unit. They were randomly divided into the investigation (n = 490) and validation (n = 326) groups. A total of 19 laboratory blood parameters were analyzed. Receiver-operating characteristic analysis was performed for each blood factor, and the area under the curve was calculated to determine the predictive value for 14-day survival after the blood test. Multivariable logistic regression analysis was performed to identify significant independent prognostic factors for 14-day mortality. To develop a scoring system for 14-day mortality, the laboratory prognostic score for gastrointestinal malignancy (GI-LPS) was calculated using the sum of indices of the independent prognostic factors.

Results

Multivariable analysis showed that 5 of 19 indices, namely total bilirubin ≥ 2.1 mg/dL, blood urea nitrogen ≥ 28 mg/dL, eosinophil percentage ≤ 0.5%, neutrophil-to-lymphocyte ratio ≥ 9.2, and platelet count ≤ 194 × 103/μL, were significant independent factors of 14-day survival. GI-LPS showed acceptable accuracy for 14-day mortality in the investigation and validation groups. GI-LPS 3 (including any three factors) predicted death within 14 days, with a sensitivity of 56–58%, a specificity of 82–87%, a positive predictive value of 48–50%, and a negative predictive value of 87–90%.

Conclusions

GI-LPS showed an acceptable ability to predict 14-day survival and can provide additional information to conventional prognostic scores.

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References

  1. Ferlay J, Soerjomataram I, Dikshit R et al (2015) Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136(5):E359–E386. https://doi.org/10.1002/ijc.29210

    Article  CAS  Google Scholar 

  2. Lamont EB, Christakis NA (1999) Some elements of prognosis in terminal cancer. Oncology (Williston Park) 13(8):1165–1170

    CAS  Google Scholar 

  3. Stone PC, Lund S (2007) Predicting prognosis in patients with advanced cancer. Ann Oncol 18(6):971–976. https://doi.org/10.1093/annonc/mdl343

    Article  CAS  PubMed  Google Scholar 

  4. Hui D (2015) Prognostication of survival in patients with advanced cancer: predicting the unpredictable? Cancer Control 22(4):489–497. https://doi.org/10.1177/107327481502200415

    Article  PubMed  Google Scholar 

  5. White N, Reid F, Harris A et al (2016) A systematic review of predictions of survival in palliative care: how accurate are clinicians and who are the experts? PLoS ONE 11(8):e0161407. https://doi.org/10.1371/journal.pone.0161407

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Pirovano M, Maltoni M, Nanni O, et al. A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. Italian Multicenter and Study Group on Palliative Care. J Pain Symptom Manag 1999; 17(4):231–239

  7. Maltoni M, Nanni O, Pirovano M, et al. Successful validation of the palliative prognostic score in terminally ill cancer patients. Italian Multicenter study Group on pa11iative care. J Pain Symptom Manag 1999; 17(4):240–247

  8. Scarpi E, Maltoni M, Miceli R et al (2011) Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium. Oncologist 16(12):1793–1799

    Article  Google Scholar 

  9. Morita T, Tsunoda J, Inoue S et al (1999) The palliative prognostic Index: a scoring system for survival prediction of terminally ill cancer patients. Support Care Cancer 7(3):128–133

    Article  CAS  Google Scholar 

  10. Suh SY, Choi YS, Shim JY et al (2010) Construction of a new, objective prognostic score for terminally ill cancer patients: a multicenter study. Support Care Cancer 18(2):151–157

    Article  Google Scholar 

  11. Hyodo I, Morita T, Adachi I et al (2010) Development of a predicting tool for survival of terminally ill cancer patients. Jpn J Clin Oncol 40(5):442–448

    Article  Google Scholar 

  12. Gwilliam B, Keeley V, Todd C, et al. Development of prognosis in palliative care study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study. BMJ 2011; 343(343):d4920.

  13. Omichi M, Konoike S, Yamada Y, et al. Development of biological prognostic score versions 2 and 3 for advanced cancer patients and a prospective study on the prediction accuracy. Comparison with the palliative prognostic index. Palliat Care Res 2017; 12(1):140–148. (in Japanese with English abstract).

  14. Yasuda N, Nakashima O, Ohnaka T et al (2006) Novel clinical staging for patients with end-stage gastrointestinal carcinoma. Surg Today 36(1):25–29

    Article  Google Scholar 

  15. Kadokura M, Okuwaki T, Imagawa N et al (2020) Utility of prognostic prediction models in the terminal stage of gastrointestinal cancer. J Gastrointest Cancer 51(2):515–519. https://doi.org/10.1007/s12029-019-00270-5

    Article  PubMed  Google Scholar 

  16. Katz MH (2008) Multivariate analysis: a practical guide for clinicians. Cambridge University Press, Cambridge

    Google Scholar 

  17. Halpern AL, McCarter MD (2019) Palliative management of gastric and esophageal cancer. Surg Clin North Am 99(3):555–569. https://doi.org/10.1016/j.suc.2019.02.007

    Article  PubMed  Google Scholar 

  18. Harada K, Zhao M, Shanbhag N et al (2020) Palliative care for advanced gastric cancer. Expert Rev Anticancer Ther 20(7):575–580. https://doi.org/10.1080/14737140.2020.1781620

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Kadokura M, Okuwaki T, Imagawa N et al (2019) Utility of the prognostic prediction model at the terminal stage of hepatocellular carcinoma. Kanzo 60(7):229–236

    Article  Google Scholar 

  20. Yamada T, Uchida E, Kan H et al (2010) Initial treatment plan based on predicting the prognosis for oncologic emergency of terminal colorectal cancer. J Abdom Emerg Med 30(6):805–808 (in Japanese with English abstract)

    Google Scholar 

  21. Stotz M, Gerger A, Eisner F et al (2013) Increased neutrophil–lymphocyte ratio is a poor prognostic factor in patients with primary operable and inoperable pancreatic cancer. Br J Cancer 109(2):416–421. https://doi.org/10.1038/bjc.2013.332

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Qi X, Li J, Deng H, et al. Neutrophil-to-lymphocyte ratio for the prognostic assessment of hepatocellular carcinoma: a systematic review and meta-analysis of observational studies. Oncotarget 2016; 7(29):45283–45301. https://doi.org/10.18632/oncotarget.9942.

  23. Smith RA, Bosonnet L, Raraty M et al (2009) Preoperative platelet–lymphocyte ratio is an independent significant prognostic marker in resected pancreatic ductal adenocarcinoma. Am J Surg 197(4):466–472. https://doi.org/10.1016/j.amjsurg.2007.12.057

    Article  PubMed  Google Scholar 

  24. Saito H, Kono Y, Murakami Y et al (2018) Prognostic significance of platelet-based inflammatory indicators in patients with gastric cancer. World J Surg 42(8):2542–2550. https://doi.org/10.1007/s00268-018-4527-8

    Article  PubMed  Google Scholar 

  25. Gui W, Wang X, Luo Y et al (2020) Platelet to lymphocyte ratio as a prognostic factor in patients with advanced colorectal cancer undergoing palliative treatment. Ann Palliat Med 9(5):3271–3277. https://doi.org/10.21037/apm-20-1389

    Article  PubMed  Google Scholar 

  26. Glare P, Virik K, Jones M et al (2003) A systematic review of physicians’ survival predictions in terminally ill cancer patients. BMJ 327(7408):195–198

    Article  Google Scholar 

  27. Hui D, Park M, Liu D et al (2016) Clinician prediction of survival versus the palliative prognostic score: which approach is more accurate? Eur J Cancer 64:89–95. https://doi.org/10.1016/j.ejca.2016.05.009

    Article  PubMed  PubMed Central  Google Scholar 

  28. Tavares T, Oliveira M, Gonçalves J et al (2018) Predicting prognosis in patients with advanced cancer: a prospective study. Palliat Med 32(2):413–416. https://doi.org/10.1177/0269216317705788

    Article  PubMed  Google Scholar 

  29. Ermacora P, Mazzer M, Isola M et al (2019) Prognostic evaluation in palliative care: final results from a prospective cohort study. Support Care Cancer 27(6):2095–2102. https://doi.org/10.1007/s00520-018-4463-z

    Article  PubMed  Google Scholar 

  30. Yamada T, Morita T, Maeda I et al (2017) A prospective, multicenter cohort study to validate a simple performance status–based survival prediction system for oncologists. Cancer 123(8):1442–1452

    Article  CAS  Google Scholar 

  31. Valent P, Gleich GJ, Reiter A et al (2012) Pathogenesis and classification of eosinophil disorders: a review of recent developments in the field. Expert Rev Hematol 5(2):157–176

    Article  CAS  Google Scholar 

  32. Abidi K, Belayachi J, Derras Y et al (2011) Eosinopenia, an early marker of increased mortality in critically ill medical patients. Intensive Care Med 37(7):1136–1142

    Article  Google Scholar 

  33. Cikrikcioglu MA, Soysal P, Dikerdem D et al (2012) Absolute blood eosinophil count and 1-year mortality risk following hospitalization with acute heart failure. Eur J Emerg Med 19(4):257–263

    Article  Google Scholar 

  34. Holland M, Alkhalil M, Chandromouli S et al (2010) Eosinopenia as a marker of mortality and length of stay in patients admitted with exacerbations of chronic obstructive pulmonary disease. Respirology 15(1):165–167

    Article  Google Scholar 

  35. Kawai N, Yuasa N (2018) Laboratory prognostic score for predicting 30-day mortality in terminally ill cancer patients. Nagoya J Med Sci 80(4):571–582

    PubMed  PubMed Central  Google Scholar 

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Funding

This work was supported by the Japanese Red Cross Aichi Medical Center Nagoya Daiichi Hospital Research Grant. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by HN, NK, and NY. The first draft of the manuscript was written by HN and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Norihiro Yuasa.

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Ethics approval and consent to participate

The study protocol was approved by the Institutional Review Board of our hospital (approval reference number: 2018–195). The Institutional Review Board of our hospital (approval reference number: 2018–195) waived the requirement for informed consent owing to the retrospective nature of the study.

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Not applicable.

Competing interests

The authors declare no competing interests.

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Nagai, H., Kawai, N. & Yuasa, N. Development and internal validation of laboratory prognostic score to predict 14-day mortality in terminally ill patients with gastrointestinal malignancy. Support Care Cancer 30, 4179–4187 (2022). https://doi.org/10.1007/s00520-021-06746-0

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