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Charlson comorbidity score is associated with readmission to the index operative hospital after radical cystectomy and correlates with 90-day mortality risk

  • Urology - Original Paper
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Abstract

Purpose

Our objective was to determine perioperative variables associated with 30-day readmission to the index operative hospital after radical cystectomy for bladder cancer and subsequent survival outcomes.

Methods

Retrospective cohort study utilizing the United States National Cancer Database from 2004–2015. All clinical stages undergoing radical cystectomy were analyzed. Exclusion criteria included clinical suspicion of nodal disease, metastasis, or preoperative radiation therapy. Multivariable logistic regression was used for 30-day readmission risk to the index hospital. Kaplan–Meier analysis and multivariable Cox regressions were used for survival outcomes.

Results

31,147 patients were identified and stratified by 30-day readmission (n = 2628) or no readmission (n = 28,519). Thirty-day readmission to the index surgery hospital was 8.4%. Groups were comparable in terms of age, gender, race, income, facility type, insurance, length of hospital stay, and pathologic stage. There were significantly more patients with higher Charlson comorbidity score in the readmission cohort. On logistic regression analysis, increasing Charlson score was the only predictor of 30-day readmission (OR 1.39–1.73, p < 0.001). The 90-day mortality rate was 7.2% overall (7.0% no readmission vs 9.9% 30-day readmission, p < 0.001). Cox regression analysis for mortality revealed increasing age (HR 1.04), higher Charlson score (HR 1.42–1.85), readmission within 30 days (HR 1.38) and pathologic stage pT ≥ 2 (HR 1.88–7.09, all p < 0.001) as independent predictors of 90-day mortality.

Conclusions

Increasing comorbidity is a strong predictor of readmission to the index surgery hospital after radical cystectomy. Readmission is associated with worsened mortality at 90 days.

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References

  1. Siegel RL, Miller KD, Jemal A (2018) Cancer statistics, 2018. CA Cancer J Clin 68(1):7–30

    Article  Google Scholar 

  2. Moschini M, Simone G, Stenzl A, Gill IS, Catto J (2016) Critical review of outcomes from radical cystectomy: can complications from radical cystectomy be reduced by surgical volume and robotic surgery? Eur Urol Focus. 2(1):19–29

    Article  Google Scholar 

  3. Shabsigh A, Korets R, Vora KC et al (2009) Defining early morbidity of radical cystectomy for patients with bladder cancer using a standardized reporting methodology. Eur Urol 55(1):164–176

    Article  Google Scholar 

  4. Downs TM (2015) Reducing readmissions and mortality after radical cystectomy. J Urol 193(5):1461–1462

    Article  Google Scholar 

  5. Harraz AM, Osman Y, El-Halwagy S et al (2015) Risk factors of hospital readmission after radical cystectomy and urinary diversion: analysis of a large contemporary series. BJU Int 115(1):94–100

    Article  Google Scholar 

  6. Kim SP, Boorjian SA, Shah ND et al (2012) Contemporary trends of in-hospital complications and mortality for radical cystectomy. BJU Int 110(8):1163–1168

    Article  Google Scholar 

  7. Konety BR, Allareddy V, Herr H (2006) Complications after radical cystectomy: analysis of population-based data. Urology 68(1):58–64

    Article  Google Scholar 

  8. Groeben C, Koch R, Baunacke M, Borkowetz A, Wirth MP, Huber J (2019) In-hospital outcomes after radical cystectomy for bladder cancer : comparing national trends in the United States and Germany from 2006 to 2014. Urol Int 102:284–292

    Article  Google Scholar 

  9. Scarberry K, Berger NG et al (2018) Improved surgical outcomes following radical cystectomy at high-volume centers influence overall survival. Urol Oncol Semin Orig Investig. 36(6):308.e11–308.e17

    Article  Google Scholar 

  10. Arora S, Keeley J, Patel A, Eleswarapu SV, Bronkema C (2019) Defining a “ high volume ” radical cystectomy hospital : where do we draw the line? Eur Urol Focus. https://doi.org/10.1016/j.euf.2019.02.001

    Article  PubMed  Google Scholar 

  11. Michael GA, Max K, Mullins KJ et al (2014) Impact of hospital volume on perioperative outcomes and costs of radical cystectomy: analysis of the Maryland Health Services Cost Review Comission database. CJU Int 21(1):7102–7107

    Google Scholar 

  12. Mohanty S, Bilimoria KY (2014) Comparing national cancer registries: the National Cancer Data Base (NCDB) and the surveillance, epidemiology, and end results (SEER) program. J Surg Oncol 109(7):629–630

    Article  Google Scholar 

  13. Bilimoria KY, Stewart AK, Winchester DP, Ko CY (2008) The National Cancer Data Base: a powerful initiative to improve cancer care in the United States. Ann Surg Oncol 15(3):683–690

    Article  Google Scholar 

  14. Nuttall M, Van Der Meulen J, Emberton M (2006) Charlson scores based on ICD-10 administrative data were valid in assessing comorbidity in patients undergoing urological cancer surgery. J Clin Epidemiol 59:265–273

    Article  Google Scholar 

  15. Charlson ME, Pompei P, Ales KL et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis 40(5):373–383

    Article  CAS  Google Scholar 

  16. Jacobs BL, Zhang Y, Tan HJ, Ye Z, Skolarus TA, Hollenbeck BK (2013) Hospitalization trends after prostate and bladder surgery: implications of potential payment reforms. J Urol 189(1):59–65

    Article  Google Scholar 

  17. Lorentz C, Gilbert K, Alemozaffar M, Patil D, Filson C (2018) Risk of readmission after uncomplicated hospitalization after radical cystectomy. Clin Genitourin Cancer 16(4):e705–e710

    Article  Google Scholar 

  18. Minnillo BJ, Maurice MJ, Schiltz N et al (2015) Few modifiable factors predict readmission following radical cystectomy. Can Urol Assoc J. 9(7–8):e439–e446

    Article  Google Scholar 

  19. Skolarus TA, Jacobs BL, Schroeck FR et al (2015) Understanding hospital readmission intensity after radical cystectomy. J Urol 193(5):1500–1506

    Article  Google Scholar 

  20. Aghazadeh MA, Barocas DA, Salem S et al (2011) Determining factors for hospital discharge status after radical cystectomy in a large contemporary cohort. J Urol 185(1):85–89

    Article  Google Scholar 

  21. Stimson CJ, Chang SS, Barocas DA et al (2010) Early and late perioperative outcomes following radical cystectomy: 90-day readmissions, morbidity and mortality in a contemporary series. J Urol 184(4):1296–1300

    Article  CAS  Google Scholar 

  22. Moschini M, Karnes RJ, Sharma V et al (2016) Patterns and prognostic significance of clinical recurrences after radical cystectomy for bladder cancer: a 20-year single center experience. Eur J Surg Oncol 42(5):735–743

    Article  CAS  Google Scholar 

  23. Milenkovic U, Akand M, Moris L et al (2018) Impact of neoadjuvant chemotherapy on short-term complications and survival following radical cystectomy. World J Urol. https://doi.org/10.1007/s00345-018-2584-0

    Article  PubMed  Google Scholar 

  24. Zaid HB, Patel SG, Stimson CJ et al (2014) Trends in the utilization of neoadjuvant chemotherapy in muscle-invasive bladder cancer: results from the national cancer database. Urology 83(1):75–80

    Article  Google Scholar 

  25. Fletcher SA, Harmouch SS, Krimphove MJ et al (2018) Characterizing trends in treatment modalities for localized muscle-invasive bladder cancer in the pre-immunotherapy era. World J Urol 36(11):1767–1774

    Article  Google Scholar 

  26. Kane CJ, Mallin K, Ritchey J, Cooperberg MR, Carroll PR (2008) Renal cell cancer stage migration: analysis of the National Cancer Data Base. Cancer 113(1):78–83

    Article  Google Scholar 

  27. Boffa DJ, Rosen JE, Mallin K et al (2017) Using the national cancer database for outcomes research. JAMA Oncol 3(12):1722–1728

    Article  Google Scholar 

Download references

Acknowledgements

The American College of Surgeons and the Commission on Cancer have not verified and are not responsible for the analytic or statistical methodology employed or the conclusions drawn from these data by the investigator.

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Correspondence to Zachary Hamilton.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent is not required due to the retrospective de-identified dataset from a national tumor registry.

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McFerrin, C., Raza, S.J., May, A. et al. Charlson comorbidity score is associated with readmission to the index operative hospital after radical cystectomy and correlates with 90-day mortality risk. Int Urol Nephrol 51, 1755–1762 (2019). https://doi.org/10.1007/s11255-019-02247-6

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  • DOI: https://doi.org/10.1007/s11255-019-02247-6

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