Skip to main content

Advertisement

Log in

Trends in incidence and medical resource utilisation in patients with chronic lymphocytic leukaemia: insights from the UK Clinical Practice Research Datalink (CPRD)

  • Original Article
  • Published:
Annals of Hematology Aims and scope Submit manuscript

Abstract

Chronic lymphocytic leukaemia (CLL) is the most common leukaemia in European adults. We aimed to evaluate time trends in CLL incidence and medical resource utilisation of CLL patients in the UK. We conducted a retrospective, observational cohort analysis using the UK Clinical Practice Research Datalink (CPRD) comprising mainly primary care data. We included adult patients with newly diagnosed CLL between January 2000 and June 2012. Descriptive and trend analyses of CLL incidence and medical resource utilisation were performed. A total of 2576 patients with CLL met the eligibility criteria. At diagnosis, the majority of patients (71.7 %) were above 65 years of age. The European age-standardised CLL incidence rate in the CPRD was 6.2/100,000 (95 % confidence interval [CI] 6.0, 6.5/100,000) person-years. There was no statistically significant increase over time. The CLL patients had on average 74.6 general practitioner visits during a median follow-up of 3.3 years. Between 2000 and 2012, the average number of recorded hospitalisations and referrals per year corrected for duration of follow-up significantly (p < 0.001) increased by 8.1 % (95 % CI 6.8 %, 9.3 %) and 16.4 % (95 % CI 15.4 %, 17.3 %), respectively. Referrals and hospitalisations in the second year compared to the first year following the CLL diagnosis significantly decreased. CLL incidence rates in the CPRD were stable over the period from 2000 to 2012. Medical resource utilisation in UK primary care was well documented, but further research is needed to describe secondary and tertiary care medical resource utilisation e.g. chemotherapy administration, which is inadequately captured in the CPRD.

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
Fig. 3

Similar content being viewed by others

References

  1. Rodriguez-Vicente AE, Diaz MG, Hernandez-Rivas JM (2013) Chronic lymphocytic leukemia: a clinical and molecular heterogenous disease. Cancer Genet 206(3):49–62. doi:10.1016/j.cancergen.2013.01.003

    Article  CAS  PubMed  Google Scholar 

  2. Shanshal M, Haddad RY (2012) Chronic lymphocytic leukemia. Dis Mon 58(4):153–167. doi:10.1016/j.disamonth.2012.01.009

    Article  PubMed  Google Scholar 

  3. Montserrat E, Moreno C (2008) Chronic lymphocytic leukaemia: a short overview. Ann Oncol 19(Suppl 7):vii320–vii325. doi:10.1093/annonc/mdn460

    PubMed  Google Scholar 

  4. Bhayat F, Das-Gupta E, Smith C, McKeever T, Hubbard R (2009) The incidence of and mortality from leukaemias in the UK: a general population-based study. BMC Cancer 9:252. doi:10.1186/1471-2407-9-252

    Article  PubMed Central  PubMed  Google Scholar 

  5. Shanafelt T (2013) Treatment of older patients with chronic lymphocytic leukemia: key questions and current answers. Hematol Am Soc Hematol Educ Program 2013:158–167. doi:10.1182/asheducation-2013.1.158

    Article  Google Scholar 

  6. Hallek M (2013) Signaling the end of chronic lymphocytic leukemia: new frontline treatment strategies. Blood. doi:10.1182/blood-2013-05-498287

    PubMed Central  Google Scholar 

  7. Hallek M, Fischer K, Fingerle-Rowson G, Fink AM, Busch R, Mayer J, Hensel M, Hopfinger G, Hess G, von Grunhagen U, Bergmann M, Catalano J, Zinzani PL, Caligaris-Cappio F, Seymour JF, Berrebi A, Jager U, Cazin B, Trneny M, Westermann A, Wendtner CM, Eichhorst BF, Staib P, Buhler A, Winkler D, Zenz T, Bottcher S, Ritgen M, Mendila M, Kneba M, Dohner H, Stilgenbauer S (2010) Addition of rituximab to fludarabine and cyclophosphamide in patients with chronic lymphocytic leukaemia: a randomised, open-label, phase 3 trial. Lancet 376(9747):1164–1174. doi:10.1016/S0140-6736(10)61381-5

    Article  CAS  PubMed  Google Scholar 

  8. Goede V, Fischer K, Busch R, Engelke A, Eichhorst B, Wendtner CM, Chagorova T, de la Serna J, Dilhuydy MS, Illmer T, Opat S, Owen CJ, Samoylova O, Kreuzer KA, Stilgenbauer S, Dohner H, Langerak AW, Ritgen M, Kneba M, Asikanius E, Humphrey K, Wenger M, Hallek M (2014) Obinutuzumab plus chlorambucil in patients with CLL and coexisting conditions. N Engl J Med 370(12):1101–1110. doi:10.1056/NEJMoa1313984

    Article  CAS  PubMed  Google Scholar 

  9. Del Giudice I, Mauro FR, Foa R (2011) Chronic lymphocytic leukemia in less fit patients: “slow-go”. Leuk Lymphoma 52(12):2207–2216. doi:10.3109/10428194.2011.606386

    Article  PubMed  Google Scholar 

  10. Lobetti-Bodoni C, Bertoni F, Stussi G, Cavalli F, Zucca E (2013) The changing paradigm of chronic lymphocytic leukemia management. Eur J Int Med 24(5):401–410. doi:10.1016/j.ejim.2013.03.009

    Article  Google Scholar 

  11. Hallek M (2013) Chronic lymphocytic leukemia: 2013 update on diagnosis, risk stratification and treatment. Am J Hematol 88(9):803–816. doi:10.1002/ajh.23491

    Article  CAS  PubMed  Google Scholar 

  12. Alexandropoulou K, van Vlymen J, Reid F, Poullis A, Kang JY (2013) Temporal trends of Barrett’s oesophagus and gastro-oesophageal reflux and related oesophageal cancer over a 10-year period in England and Wales and associated proton pump inhibitor and H2RA prescriptions: a GPRD study. Eur J Gastroenterol Hepatol 25(1):15–21. doi:10.1097/MEG.0b013e3283595086

    Article  CAS  PubMed  Google Scholar 

  13. Smiechowski B, Azoulay L, Yin H, Pollak MN, Suissa S (2013) The use of metformin and colorectal cancer incidence in patients with type II diabetes mellitus. Cancer Epidemiol Biomarkers Prev 22(10):1877–1883. doi:10.1158/1055-9965.EPI-13-0196

    Article  CAS  PubMed  Google Scholar 

  14. Jordan KP, Hayward RA, Blagojevic-Bucknall M, Croft P (2013) Incidence of prostate, breast, lung and colorectal cancer following new consultation for musculoskeletal pain: a cohort study among UK primary care patients. Int J Cancer 133(3):713–720. doi:10.1002/ijc.28055

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  15. Jick SS, Kaye JA, Vasilakis-Scaramozza C, Garcia Rodriguez LA, Ruigomez A, Meier CR, Schlienger RG, Black C, Jick H (2003) Validity of the general practice research database. Pharmacotherapy 23(5):686–689

    Article  PubMed  Google Scholar 

  16. Eurostat (2013) Revision of the European standard population—report of Eurostat’s task force. Methodologies & working papers, vol 2013 edition. doi:10.2785/11470

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

    Article  CAS  PubMed  Google Scholar 

  18. Al-Hashimi MM, Wang X (2013) Comparing the cancer in Ninawa during three periods (1980–1990, 1991–2000, 2001–2010) using Poisson regression. J Res Med Sci 18(12):1026–1039

    PubMed Central  PubMed  Google Scholar 

  19. Cox DR (1972) Regression models and life-tables. J R Stat Soc Ser B Methodol 34(2):187–220

    Google Scholar 

  20. Panovska A, Doubek M, Brychtova Y, Mayer J (2010) Chronic lymphocytic leukemia and focusing on epidemiology and management in everyday hematologic practice: recent data from the Czech Leukemia Study Group for Life (CELL). Clin Lymphoma Myeloma Leuk 10(4):297–300. doi:10.3816/CLML.2010.n.061

    Article  PubMed  Google Scholar 

  21. van den Broek EC, Kater AP, van de Schans SA, Karim-Kos HE, Janssen-Heijnen ML, Peters WG, Nooijen PT, Coebergh JW, Posthuma EF (2012) Chronic lymphocytic leukaemia in the Netherlands: trends in incidence, treatment and survival, 1989–2008. Eur J Cancer 48(6):889–895. doi:10.1016/j.ejca.2011.06.053

    Article  PubMed  Google Scholar 

  22. Cancer Research U (2012) CancerStats—incidence 2009—UK

  23. Boggon R, van Staa TP, Chapman M, Gallagher AM, Hammad TA, Richards MA (2013) Cancer recording and mortality in the General Practice Research Database and linked cancer registries. Pharmacoepidemiol Drug Saf 22(2):168–175. doi:10.1002/pds.3374

    Article  PubMed  Google Scholar 

  24. Coebergh JW, Janssen-Heijnen ML, Post PN, Razenberg PP (1999) Serious co-morbidity among unselected cancer patients newly diagnosed in the southeastern part of The Netherlands in 1993–1996. J Clin Epidemiol 52(12):1131–1136

    Article  CAS  PubMed  Google Scholar 

  25. Linn BS, Linn MW, Gurel L (1968) Cumulative illness rating scale. J Am Geriatr Soc 16(5):622–626

    CAS  PubMed  Google Scholar 

  26. Miller MD, Paradis CF, Houck PR, Mazumdar S, Stack JA, Rifai AH, Mulsant B, Reynolds CF 3rd (1992) Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale. Psychiatry Res 41(3):237–248

    Article  CAS  PubMed  Google Scholar 

  27. OECD (2013) OECD Health Data 2013. http://www.oecd.org/health/health-systems/oecdhealthdata2013-frequentlyrequesteddata.htm

  28. Confederation N (2013) Key statistics on the NHS. http://www.nhsconfed.org/PRIORITIES/POLITICAL-ENGAGEMENT/Pages/NHS-statistics.aspx. Accessed 6 Jan 2014

  29. Khan NF, Harrison SE, Rose PW (2010) Validity of diagnostic coding within the General Practice Research Database: a systematic review. Br J Gen Pract 60(572):e128–e136. doi:10.3399/bjgp10X483562

    Article  PubMed Central  PubMed  Google Scholar 

  30. Santosh J, Crampton P (2009) Gender differences in general practice utilisation in New Zealand. J Prim Health Care 1(4):261–269

    PubMed  Google Scholar 

Download references

Acknowledgments

We thank Pascal Egger for the technical support and programming of data extractions from the CPRD database.

Author contributions

All authors were involved in the design of the study. A.M.P. was responsible for the first draft of the protocol, which was critically reviewed and approved by all authors. A.M.P was responsible for data analysis and the first draft of the manuscript. All authors contributed to data interpretation, critically reviewed all manuscript versions and read and agreed upon the final version of the manuscript.

Conflict of interest

No financial support was received for the conduct of this study. All authors declare no conflicts of interest related to this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christoph R. Meier.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pfeil, A.M., Imfeld, P., Pettengell, R. et al. Trends in incidence and medical resource utilisation in patients with chronic lymphocytic leukaemia: insights from the UK Clinical Practice Research Datalink (CPRD). Ann Hematol 94, 421–429 (2015). https://doi.org/10.1007/s00277-014-2217-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00277-014-2217-7

Keywords

Navigation