Comorbidity and survival of Danish breast cancer patients from 1995 to 2005

D P Cronin-Fenton, M Nørgaard, J Jacobsen, J P Garne, M Ewertz, T L Lash, H T Sørensen, D P Cronin-Fenton, M Nørgaard, J Jacobsen, J P Garne, M Ewertz, T L Lash, H T Sørensen

Abstract

Comorbid diseases can affect breast cancer prognosis. We conducted a population-based study of Danish women diagnosed with a first primary breast cancer from 1995 to 2005 (n=9300), using hospital discharge registry data to quantify comorbidities by Charlson score. We examined the influence of comorbidities on survival, and quantified their impact on relative mortality rates. The prevalence of patients with a Charlson score='0' fell from 86 to 81%, with an increase in those with Charlson score='1-2' from 13 to 16%, and score='3+' from 1 to 2%. One- and five-year survival for patients with Charlson score='0' and '1-2' was better for those diagnosed in 1998-2000 than in 1995-1997. Overall, patients diagnosed in 2001-2004 (mortality ratio (MR)=0.80, 95% CI=0.68-0.95) and 1998-2000 (MR=0.92, 95% CI=0.78-1.09) had lower 1-year age-adjusted mortality compared to those diagnosed in 1995-1997 (reference period). Patients with Charlson scores '1-2' and '3+' had higher age-adjusted 1-year mortality than those with a Charlson score='0' in each time period (2001-2004: MR('1-2')=1.76, 95% CI=1.35-2.30, and MR('3+')=3.78, 95% CI=2.51-5.68; and 1998-2000: MR('1-2')=1.60, 95% CI=1.36-1.88 and MR('3+')=2.34, 95% CI=1.65-3.33). Similar findings were observed for 5-year age-adjusted mortality. Additional analyses, adjusted for stage, indicated that confounding by stage could not explain these findings. Despite continued improvements in breast cancer survival, we found a trend of poorer survival among breast cancer patients with severe comorbidities even after adjusting for age and stage. Such poorer survival is an important public health concern and can be expected to worsen as the population ages.

Figures

Figure 1
Figure 1
Kaplan–Meier survival curves for patients with breast cancer in Denmark for three time periods for (A) Charlson score=0, (B) Charlson score=1–2, and (C) Charlson score=3+.

References

    1. Abrahamson PE, Gammon MD, Lund MJ, Flagg EW, Porter PL, Stevens J, Swanson CA, Brinton LA, Eley JW, Coates RJ (2006) General and abdominal obesity and survival among young women with breast cancer. Cancer Epidemiol Biomarkers Prev 15: 1871–1877
    1. Althuis MD, Dozier JM, Anderson WF, Devesa SS, Brinton LA (2005) Global trends in breast cancer incidence and mortality 1973–1997. Int J Epidemiol 34: 405–412
    1. Andersen IB, Bonnevie O, Jorgensen T, Sorensen TI (1999) Peptic ulcer in Denmark, 1981–1993. Analysis of data from national patient registries. Ugeskr Laeg 161: 1589–1594
    1. Bastarrachea J, Hortobagyi GN, Smith TL, Kau SW, Buzdar AU (1994) Obesity as an adverse prognostic factor for patients receiving adjuvant chemotherapy for breast cancer. Ann Intern Med 120: 18–25
    1. Bendixen H, Holst C, Sorensen TI, Raben A, Bartels EM, Astrup A (2004) Major increase in prevalence of overweight and obesity between 1987 and 2001 among Danish adults. Obes Res 12: 1464–1472
    1. Bergman L, Dekker G, van Kerkhoff EH, Peterse HL, van Dongen JA, van Leeuwen FE (1991a) Influence of age and comorbidity on treatment choice and survival in elderly patients with breast cancer. Breast Cancer Res Treat 18: 189–198
    1. Bergman L, Dekker G, van Leeuwen FE, Huisman SJ, van Dam FS, van Dongen JA (1991b) The effect of age on treatment choice and survival in elderly breast cancer patients. Cancer 67: 2227–2234
    1. Boniface D (2006) Changes in the distribution of obesity in the UK adult population 1980–2003. J Epidemiol Community Health 60: A9
    1. Carmichael AR (2006) Obesity as a risk factor for development and poor prognosis of breast cancer. BJOG 113: 1160–1166
    1. Carmichael AR, Bendall S, Lockerbie L, Prescott RJ, Bates T (2004) Does obesity compromise survival in women with breast cancer? Breast 13: 93–96
    1. 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
    1. Coebergh JW (1996) Significant trends in cancer in the elderly. Eur J Cancer 32A: 569–571
    1. Cronin DP, Harlan LC, Clegg LX, Stevens JL, Yuan G, Davis TA (2005) Patterns of care in a population-based random sample of patients diagnosed with non-Hodgkin's lymphoma. Hematol Oncol 23: 73–81
    1. Deyo RA, Cherkin DC, Ciol MA (1992) Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 45: 613–619
    1. Ewertz M (1993) Breast cancer in Denmark. Incidence, risk factors, and characteristics of survival. Acta Oncol 32: 595–615
    1. Gaist D, Sorensen HT, Hallas J (1997) The Danish prescription registries. Dan Med Bull 44: 445–448
    1. Globocan (2006) Cancer Incidence and Mortality. IARC,
    1. Goldman L, Mudge Jr GH, Cook EF (1983) The changing ‘natural history’ of symptomatic coronary artery disease: basis versus bias. Am J Cardiol 51: 449–454
    1. Grant EC (2005) Reduction in mortality from breast cancer: fall in use of hormones could have reduced breast cancer mortality. BMJ 330: 1024; author reply 1025
    1. Greenfield S, Apolone G, McNeil BJ, Cleary PD (1993) The importance of co-existent disease in the occurrence of postoperative complications and one-year recovery in patients undergoing total hip replacement. Comorbidity and outcomes after hip replacement. Med Care 31: 141–154
    1. Greenfield S, Blanco DM, Elashoff RM, Ganz PA (1987) Patterns of care related to age of breast cancer patients. JAMA 257: 2766–2770
    1. Harlan LC, Clegg LX, Trimble EL (2003a) Trends in surgery and chemotherapy for women diagnosed with ovarian cancer in the United States. J Clin Oncol 21: 3488–3494
    1. Harlan LC, Clegg LX, Warren JL (2003b) Chemotherapy in women with breast cancer. Ann Intern Med 139: 868; author reply 868–869
    1. Havlik RJ, Yancik R, Long S, Ries L, Edwards B (1994) The national institute on aging and the national cancer institute SEER collaborative study on comorbidity and early diagnosis of cancer in the elderly. Cancer 74: 2101–2106
    1. Horton NJ, Laird NM, Murphy JM, Monson RR, Sobol AM, Leighton AH (2001) Multiple informants: mortality associated with psychiatric disorders in the Stirling County Study. Am J Epidemiol 154: 649–656
    1. Hurria A, Leung D, Trainor K, Borgen P, Norton L, Hudis C (2003) Factors influencing treatment patterns of breast cancer patients age 75 and older. Crit Rev Oncol Hematol 46: 121–126
    1. Janssen-Heijnen ML, Houterman S, Lemmens VE, Louwman MW, Maas HA, Coebergh JW (2005) Prognostic impact of increasing age and co-morbidity in cancer patients: a population-based approach. Crit Rev Oncol Hematol 55: 231–240
    1. Lash TL, Thwin SS, Horton NJ, Guadagnoli E, Silliman RA (2003) Multiple informants: a new method to assess breast cancer patients’ comorbidity. Am J Epidemiol 157: 249–257
    1. Louwman WJ, Janssen-Heijnen ML, Houterman S, Voogd AC, van der Sangen MJ, Nieuwenhuijzen GA, Coebergh JW (2005) Less extensive treatment and inferior prognosis for breast cancer patient with comorbidity: a population-based study. Eur J Cancer 41: 779–785
    1. Mandelblatt JS, Bierman AS, Gold K, Zhang Y, Ng JH, Maserejan N, Hwang YT, Meropol NJ, Hadley J, Silliman RA (2001) Constructs of burden of illness in older patients with breast cancer: a comparison of measurement methods. Health Serv Res 36: 1085–1107
    1. McDonald PA, Williams R, Dawkins F, Adams-Campbell LL (2002) Breast cancer survival in African American women: is alcohol consumption a prognostic indicator? Cancer Causes Control 13: 543–549
    1. National Board of Health (2006) In Cancer Incidence in Denmark in 2001,
    1. Newschaffer CJ, Bush TL, Penberthy LT (1997) Comorbidity measurement in elderly female breast cancer patients with administrative and medical records data. J Clin Epidemiol 50: 725–733
    1. Olsen AH, Njor SH, Vejborg I, Schwartz W, Dalgaard P, Jensen MB, Tange UB, Blichert-Toft M, Rank F, Mouridsen H, Lynge E (2005) Breast cancer mortality in Copenhagen after introduction of mammography screening: cohort study. BMJ 330: 220.
    1. Parkin DM, Bray F, Ferlay J, Pisani P (2005) Global cancer statistics, 2002. CA Cancer J Clin 55: 74–108
    1. Potosky AL, Harlan LC, Kaplan RS, Johnson KA, Lynch CF (2002) Age, sex, and racial differences in the use of standard adjuvant therapy for colorectal cancer. J Clin Oncol 20: 1192–1202
    1. Sant M, Capocaccia R, Coleman MP, Berrino F, Gatta G, Micheli A, Verdecchia A, Faivre J, Hakulinen T, Coebergh JW, Martinez-Garcia C, Forman D, Zappone A (2001) Cancer survival increases in Europe, but international differences remain wide. Eur J Cancer 37: 1659–1667
    1. Schouten LJ, de Rijke JM, Huveneers JA, Verbeek AL (2002) Rising incidence of breast cancer after completion of the first prevalent round of the breast cancer screening programme. J Med Screen 9: 120–124
    1. Sjol A, Thomsen KK, Schroll M, Andersen LB (2003) Secular trends in acute myocardial infarction in relation to physical activity in the general Danish population. Scand J Med Sci Sports 13: 224–230
    1. Sonnenschein E, Toniolo P, Terry MB, Bruning PF, Kato I, Koenig KL, Shore RE (1999) Body fat distribution and obesity in pre- and postmenopausal breast cancer. Int J Epidemiol 28: 1026–1031
    1. Statistics Denmark (2006) Income, consumption and prices: sales of alcohol and tobacco, subject to excise duties by type.
    1. Thun MJ, Peto R, Lopez AD, Monaco JH, Henley SJ, Heath Jr CW, Doll R (1997) Alcohol consumption and mortality among middle-aged and elderly US adults. N Engl J Med 337: 1705–1714
    1. West DW, Satariano WA, Ragland DR, Hiatt RA (1996) Comorbidity and breast cancer survival: a comparison between black and white women. Ann Epidemiol 6: 413–419
    1. Yancik R, Wesley MN, Ries LA, Havlik RJ, Edwards BK, Yates JW (2001) Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older. JAMA 285: 885–892

Source: PubMed

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