Skip to main content

Advertisement

Log in

Which comorbidity classification is best suited to identify patients at risk for 90-day and long-term non-bladder cancer mortality after radical cystectomy?

  • Original Article
  • Published:
World Journal of Urology Aims and scope Submit manuscript

Abstract

Purpose

There is no consensus on the best comorbidity measure in candidates for radical cystectomy. The aim of this study was to identify tool best suited to identify patients at risk for 90-day or premature long-term non-bladder cancer mortality.

Methods

We studied 1268 patients who underwent radical cystectomy to identify patients at risk for 90-day and later-than-90-day mortality, respectively. Six classifications were investigated as possible predictors of both types of mortality. Multivariable models including age as continuous variable and each classification separately were calculated. A heuristic ranking was based on the evaluation of the hazard ratios, p values, Akaike’s information criteria, and concerning the logit models also the areas under the curve.

Results

The median follow-up was 5.7 years. Within 90 days after surgery, the mortality rate was 4.2%. The greatest independent contribution concerning the prediction of 90-day mortality was seen with the American Society of Anesthesiologists (ASA) physical status classification (classes 3–4 versus 1–2: hazard ratio 7.98, 95% confidence interval 3.54–18.01, p < 0.0001). In the longer term, countable diseases (Canadian Cardiovascular Society classification of angina pectoris, conditions contributing the Charlson score) were of greater importance. The results of heuristic ranking were confirmed by multivariate analyses including age and all classifications together.

Conclusions

Besides to chronological age, clinicians should pay particular attention to the ASA classification to identify patients at risk for 90-day mortality after radical cystectomy, whereas long-term mortality is more determined by countable comorbid diseases.

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

Similar content being viewed by others

References

  1. Schulz GB, Grimm T, Buchner A, Jokisch F, Kretschmer A, Casuscelli J, Ziegelmüller B, Stief CG, Karl A (2018) Surgical high-risk patients with ASA ≥ 3 undergoing radical cystectomy: morbidity, mortality, and predictors for major complications in a high-volume tertiary center. Clin Genitourin Cancer 16:e1141–e1149

    Article  Google Scholar 

  2. Aziz A, May M, Burger M, Palisaar RJ, Trinh QD, Fritsche HM, Rink M, Chun F, Martini T, Bolenz C, Mayr R, Pycha A, Nuhn P, Stief C, Novotny V, Wirth M, Seitz C, Noldus J, Gilfrich C, Shariat SF, Brookman-May S, Bastian PJ, Denzinger S, Gierth M, Roghmann F; PROMETRICS 2011 research group (2014) Prediction of 90-day mortality after radical cystectomy for bladder cancer in a prospective European multicenter cohort. Eur Urol 66:156–163

  3. Boorjian SA, Kim SP, Tollefson MK, Carrasco A, Cheville JC, Thompson RH, Thapa P, Frank I (2013) Comparative performance of comorbidity indices for estimating perioperative and 5-year all cause mortality following radical cystectomy for bladder cancer. J Urol 90:55–60

    Article  Google Scholar 

  4. Kulkarni GS, Finelli A, Fleshner NE, Jewett MAS, Lopushinsky SR, Alibhai SMH (2007) Optimal management of high-risk T1G3 bladder cancer: a decision analysis. PLoS Med 4(9):e284

    Article  Google Scholar 

  5. Nayak JG, Gore JL, Holt SK, Wright JL, Mossanen M, Dash A (2016) Patient-centered risk stratification of disposition outcomes following radical cystectomy. Urol Oncol 34:235.e17–23

    Article  Google Scholar 

  6. Witjes AJ, Bruins HM, Cathomas R, Compérat EM, Cowan NC, Gakis G, Hernández V, Lorch A, Ribal MJ, Thalmann GN, van der Heijden AG, Veskimäe E (2019) EAU guidelines on muscle-invasive and metastatic bladder cancer. https://www.uroweb/guideline/bladder-cancer-muscle-invasive-and-metastatic/. Accessed 11 June 2019

  7. Williams SB, Kamat AM, Chamie K, Froehner M, Wirth MP, Wiklund PN, Black PC, Steinberg GD, Boorjian SA, Daneshmand S, Goebell PJ, Pohar KS, Shariat SF, Thalmann GN (2018) Systematic review of comorbidity and competing-risks assessments for bladder cancer patients. Eur Urol Oncol 1:91–100

    Article  Google Scholar 

  8. American Society of Anesthesiologists. American Society of Anesthesiologists physical status classification system. https://www.asahq.org/resources/clinical-information/asa-physical-status-classification-system. Accessed 11 June 2019

  9. The Criteria Committee of the New York Heart Association (1994) Nomenclature and criteria for diagnosis of diseases of the heart and great vessels, 9th edn. Little, Brown & Co, Boston, pp 253–256.

  10. Canadian Cardiovascular Society. Canadian Cardiovascular Society grading of angina pectoris. https://www.ccs.ca/images/Guidelines/Guidelines_POS_Library/Ang_Gui_1976.pdf. Accessed 11 June 2019

  11. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  CAS  Google Scholar 

  12. Le Manach Y, Collins G, Rodseth R, Le Bihan-Benjamin C, Biccard B, Riou B, Devereaux PJ, Landais P (2016) Preoperative score to predict postoperative mortality (POSPOM) Derivation and validation. Anesthesiology 124:570–579

    Article  Google Scholar 

  13. Froehner M, Koch R, Hübler M, Heberling U, Novotny V, Zastrow S, Wirth MP (2019) Validation of the Preoperative Score to Predict Postoperative Mortality (POSPOM) in patients undergoing radical cystectomy. Eur Urol Focus 5:197–200

    Article  Google Scholar 

  14. Leitlinienprogramm Onkologie (Deutsche Krebsgesellschaft, Deutsche Krebshilfe, AWMF): S3-Leitlinie Früherkennung, Diagnose, Therapie und Nachsorge des Harnblasenkarzinoms, Langversion 1.1, 2016 [S3 guidelines on early detection, diagnosis, treatment and follow-up of bladder cancer; Guidelines in German], AWMF-Registrierungsnummer [register number] 032/038OL. https://www.leitlinienprogramm-onkologie.de/leitlinien/harnblasenkarzinom/. Accessed 11 June 2019

  15. Chang SS, Bochner BH, Chou R, Dreicer R, Kamat AM, Lerner SP, Lotan Y, Meeks JJ, Michalski JM, Morgan TM, Quale DZ, Rosenberg JE, Zietman AL, Holzbeierlein JM (2017) Treatment of non-metastatic muscle-invasive bladder cancer: AUA/ASCO/ASTRO/SUO guideline. https://www.auanet.org/guidelines/bladder-cancer-non-metastatic-muscle-invasive-(2017). Accessed 11 June 2019

  16. Mayr R, May M, Martini T, Lodde M, Comploj E, Pycha A, Strobel J, Denzinger S, Otto W, Wieland W, Burger M, Fritsche HM (2012) Comorbidity and performance indices as predictors of cancer-independent mortality but not of cancer-specific mortality after radical cystectomy for urothelial carcinoma of the bladder. Eur Urol 62:662–670

    Article  Google Scholar 

  17. Fonteyne V, Ost P, Bellmunt J, Droz JP, Mongiat-Artus P, Inman B, Paillaud E, Saad F, Ploussard G (2018) Curative treatment for muscle invasive bladder cancer in elderly patients: a systematic review. Eur Urol 73:40–50

    Article  Google Scholar 

  18. Sankar A, Johnson SR, Beattie WS, Tait G, Wijeysundera DN (2014) Reliability of the American Society of Anesthesiologists physical status scale in clinical practice. Br J Anaesth 113:424–432

    Article  CAS  Google Scholar 

  19. Sathianathen NJ, Jarosek S, Lawrentschuk N, Bolton D, Konety BR (2018) A simplified frailty index to predict outcomes after radical cystectomy. Eur Urol Focus (Epub ahead of print).

  20. Stoffel JT, Montgomery JS, Suskind AM, Tucci C, Vanni AJ (2018) Optimizing outcomes in urologic surgery: preoperative care for the patient undergoing urologic surgery or procedure. https://www.auanet.org/guidelines/optimizing-outcomes-in-urological-surgery-pre-operative-care-for-the-patient-undergoing-urologic-surgery-or-procedure. Accessed 11 June 2019

Download references

Funding

No funding was obtained for this study.

Author information

Authors and Affiliations

Authors

Contributions

MF: protocol/project development, data collection or management, data analysis, manuscript writing/editing. RK: data analysis, manuscript writing/editing. UH: data collection or management, manuscript writing/editing. MH: data collection or management, manuscript writing/editing. VN: data collection or management, manuscript writing/editing. AB: data collection or management, manuscript writing/editing. MPW: manuscript writing/editing, supervision. CT: Manuscript writing/editing, supervision.

Corresponding author

Correspondence to Michael Froehner.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest related to this manuscript.

Research involving human participants and/or animals

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. Institutional review board approval was obtained (reference number EK84032009).

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

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

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 17 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Froehner, M., Koch, R., Heberling, U. et al. Which comorbidity classification is best suited to identify patients at risk for 90-day and long-term non-bladder cancer mortality after radical cystectomy?. World J Urol 38, 695–702 (2020). https://doi.org/10.1007/s00345-019-02860-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00345-019-02860-1

Keywords

Navigation