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Evaluation of the effect of comorbidity on survival in pancreatic cancer by using “Charlson Comorbidity Index” and “Cumulative Illness Rating Scale”

Bewertung der Auswirkung von Begleiterkrankungen auf das Überleben mit Pankreaskrebs unter Verwendung des „Charlson Komorbiditäts Index“ und der „Cumulative Illness Rating Skala“

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Summary

Background

Effect of comorbidity on the treatments that patients receive is not clear, as healthy elderly patients and the elderly with less comorbid diseases are included in the studies. In the present study, the effect of comorbidity on the survival was evaluated using Charlson Comorbidity Index (CCI) and Cumulative Illness Rating Scale (CIRS).

Material and method

The general features and comorbid diseases of the pancreatic cancer patients were retrospectively screened from the patient files using the automated system. CCI and CIRS were used as the comorbidity indices.

Results

A total of 106 patients with pancreatic cancer were included in the study. The median overall survival rate was 9.0 [95 % confidence interval (CI): 6.7–11.3] months. The median overall survival rate was found as 9.4 (95 % CI: 6.7–12.1) months in the patients whose CCI score was ≤ 2 and was found as 6.2 (95 % CI: 4.0–8.3) months in the patients with CCI scores ≥ 3 (p = 0.05). The median overall survival rate was calculated as 9.8 (95 % CI: 6.3–13.4) months in the patients with CIRS scores ≤ 2 and was calculated as 8.3 (95 % CI: 6.0–10.6) months in the patients with CIRS scores ≥ 3 (p = 0.51). When surgery, radiotherapy, grading, and CCI score were evaluated using multivariate analysis, it was observed that only the treatment modality had a significant effect on the survival rate.

Conclusion

The results on the use of comorbidity indices are contradictory for the cancers with lower survival rates such as pancreatic cancer. New prognostic scales might be developed for this patient group by considering the side effects of chemotherapy.

Zusammenfassung

Grundlagen

Die Auswirkung von Begleiterkrankungen auf den Erfolg der Therapien, die Patienten erhalten, ist ungesichert, da oft gesunde ältere Patienten beziehungsweise Ältere mit nur wenigen Begleiterkrankungen in die Studien eingeschlossen werden. In der vorliegenden Studie wurde der Einfluss von Begleiterkrankungen auf das Überleben durch Verwendung des Charlson Komorbiditäts Index (CKI) und der Kumulativen Erkrankungs-Bewertung Skala (KEBS) bewertet.

Material und Methoden

Die Allgemeinsituation und Begleiterkrankungen von Patienten mit Pankreaskrebs wurden retrospektiv an Hand der Krankengeschichten mit Hilfe eines automatisierten Systems erhoben. CKI und KEBS wurden als Indices verwendet.

Ergebnisse

Insgesamt wurden 106 Patienten mit Pankreaskrebs in die Studie aufgenommen. Die mediane Gesamt-Überlebenszeit betrug 9 Monate (95 % CI; 6,7–11,3). Bei den Patienten mit einen CKI < 2 lag die Gesamtüberlebenszeit bei 9,4 Monaten (95 % CI; 6,7–12,1); bei den Patienten mit einem CKI ≥ 3 lag sie bei 6,2 Monaten (95 % CI; 4,0–8,3). Bei der Einteilung nach KEBS ergab sich eine Gesamtüberlebenszeit von 9,8 Monaten (6,3–13,4) bei jenen ≤ 2 und von 8,3 (95 % CI: 6,0–10,6) bei einem KEBS Wert von ≥ 3 (p = 0,51). Die Berücksichtigung der Operation, der Bestrahlung, des Stadiums und des CKI Scores in der Multivarianz Analyse ergab, dass nur die Therapiemodalität einen signifikanten Einfluss auf die Überlebensrate hatte.

Schlussfolgerung

Die Ergebnisse des Einsatzes von Komorbiditätsindices sind bei Krebserkrankungen mit geringer Lebenserwartung, wie dem Pankreaskrebs, widersprüchlich. Neue prognostische Skalen sollten für diese Patienten unter Berücksichtigung der Nebenwirkungen der Chemotherapie erstellt werden.

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References

  1. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics, 2009. CA Cancer J Clin. 2009;59(4):225–49.

    Article  PubMed  Google Scholar 

  2. Howlader N, Noone AM, Krapcho M, et al. SEER cancer statistics review, 1975–2008, National Cancer Institute. Bethesda, MD. Available from: http://seer.cancer.gov/csr/1975_2008/. Accessed 10 Feb 2013.

  3. Yip D, Karapetis C, Strickland A, Steer CB, Goldstein D. Chemotherapy and radiotherapy for inoperable advanced pancreatic cancer. Cochrane Database Syst Rev 3. 2006;19(3):CD002093.

    Google Scholar 

  4. Burris 3rd HA, Moore, Andersen J, et al. Improvements in survival and clinical benefit with gemcitabine as first-line therapy for patients with advanced pancreas cancer: randomized trial. J Clin Oncol. 1997;15(6):2403–13.

    CAS  PubMed  Google Scholar 

  5. Neuhaus P, Riess H, Post S, et al. CONKO-001: final results of the randomized, prospective, multicenter phase III trial of adjuvant chemotherapy with gemcitabine versus observation in patients with resected pancreatic cancer (PC J Clin Oncol., 2008 ASCO Annual Meeting Proceedings (Post-Meeting Edition).2008;26:(15S) (May 20 Supplement).

  6. Marechal R, Demols A, Gay F, et al. Tolerance and efficacy of gemcitabine and gemcitabine-based regimens in elderly patients with advanced pancreatic cancer. Pancreas. 2008;36(3):16–21.

    Article  Google Scholar 

  7. Nakai Y, Isayama H, Sasaki T, et al. Comorbidity, not age, is prognostic in patients with advanced pancreatic cancer receiving gemcitabine-based chemotherapy. Crit Rev Oncol Hematol. 2011;78(3):252–9.

    Article  PubMed  Google Scholar 

  8. Lichtman SM, Wildiers H, Chatelut E, et al. International society of geriatric oncology chemotherapy taskforce: evaluation of chemotherapy in older patients—an analysis of the medical literature. J Clin Oncol. 2007;25(14):1832–43.

    Article  CAS  PubMed  Google Scholar 

  9. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  10. Extermann M, Overcash J, Lyman GH, Parr J, Balducci L. Comorbidity and functional status are independent in older cancer patients. J Clin Oncol. 1998;16(4):1582–7.

    CAS  PubMed  Google Scholar 

  11. Linn BS, Linn MW, Gurel L. Cumulative illness rating scale. J Am Geriatr Soc. 1968;16(5):622–6.

    CAS  PubMed  Google Scholar 

  12. Aksoy S, Aksoy H, Harputluoglu H, Kilickap S, Altundag K. Treatment of comorbidities besides the treatment of primary tumor may further increase effective management of cancer. Med Hypotheses. 2006;67(4):744–6.

    Article  PubMed  Google Scholar 

  13. Land LH, Dalton SO, Jensen MB, Ewertz M. Influence of comorbidity on the effect of adjuvant treatment and age in patients with early-stage breast cancer. Br J Cancer. 2012;107(11):1901–7.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. Reid BC, Alberg AJ, Klassen AC, et al. Comorbidity and survival of elderly head and neck carcinoma patients. Cancer. 2001;92(8):2109–16.

    Article  CAS  PubMed  Google Scholar 

  15. Juan O, Albert A, Campos JM, Caranyana V, Muñoz J, Alberola V. Measurement and impact of co-morbidity in elderly patients with advanced non small cell lung cancer treated with chemotherapy. A phase II study of weekly paclitaxel. Acta Oncol. 2007;46(3):367–73.

    Article  CAS  PubMed  Google Scholar 

  16. Lee KJ, Yi SW, Chung MJ, et al. Serum CA 19-9 and CEA levels as a prognostic factor in pancreatic adenocarcinoma. Yonsei Med J. 2013;54(3):643–9.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  17. Herrmann R, Bodoky G, Ruhstaller T, et al. Gemcitabine plus capecitabine compared with gemcitabine alone in advanced pancreatic cancer: a randomized, multicenter, phase III trial of the Swiss Group for Clinical Cancer Research and the Central European Cooperative Oncology Group. J Clin Oncol. 2007;25(16):2212–7.

    Article  CAS  PubMed  Google Scholar 

  18. Vickers MM, Powell ED, Asmis TR, et al. Comorbidity, age and overall survival in patients with advanced pancreastic cancer results from NCIC CTG PA.3: a phase III trial of gemcitabine plus erlotnib or placebo. Eur J Cancer. 2012;48(10):1434–42.

    Article  CAS  PubMed  Google Scholar 

  19. Sarfati D. Review of methods used to measure comorbidity in cancer populations: no gold standard exists. J Clin Epidemiol. 2012;65(9):924–33.

    Article  PubMed  Google Scholar 

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Correspondence to F. Tugba Kos.

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Kos, F., Yazici, O., Civelek, B. et al. Evaluation of the effect of comorbidity on survival in pancreatic cancer by using “Charlson Comorbidity Index” and “Cumulative Illness Rating Scale”. Wien Klin Wochenschr 126, 36–41 (2014). https://doi.org/10.1007/s00508-013-0453-9

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