ONLINE SUPPLEMENTARY Statin use and risk for ovarian cancer: a Danish nationwide casecontrol study ONLINE SUPPLEMENTARY Data sources Supplementary analyses Supplementary references Supplementary Tables 1 and 2 Louise Baandrup1, Christian Dehlendorff1, Søren Friis1, Jørgen H. Olsen1 and Susanne K. Kjær1,2 1 Danish Cancer Society Research Centre, Danish Cancer Society, Copenhagen, Denmark 2 The Gynaecologic Clinic, Juliane Marie Centre, Rigshospitalet, University of Copenhagen, Denmark 1 ONLINE SUPPLEMENTARY Data sources The Danish Cancer Registry (Gjerstorff, 2011) has recorded incident cancers on a nationwide basis since 1943 and ensures accurate and virtually complete ascertainment of cancer cases. Cancer diagnoses are recorded according to the International Classification of Diseases, version 10 (ICD-10) and the ICD for Oncology (ICD-O-3) for topography and morphology. The Civil Registration System (Pedersen, 2011) contains continuously updated information on date of birth, death, emigration and changes in address for all Danish residents from 1968 to the present. The Danish Prescription Registry (Kildemoes et al, 2011) holds detailed information on all prescription drugs dispensed at pharmacies in Denmark since 1995. The data include type of drug according to the Anatomical Therapeutic Classification (ATC) (WHO, 2011), quantity dispensed and date of dispensing. Dosing schedule and indication(s) are not available. The quantity of each prescription is given as the strength and number of the pharmaceutical entity (typically tablets) and the defined daily dose (DDD) (WHO, 2011). The National Patient Register (Lynge et al, 2011) contains information on all hospitalizations for somatic conditions since 1977 and all outpatient consultations since 1995. Diagnoses are coded according to the ICD-8 from 1977–1993, and ICD-10 from 1994 onwards. Surgical procedures are classified according to the Danish Classification of Surgical Procedures and Therapies (Danish Board of Health, 1973) until the end of 1995 and thereafter according to the Nordic Classification of Surgical Procedures (NOMESCO). Registries in Statistics Denmark on education and income (Baadsgaard et al, 2011; Jensen et al, 2011) 2 ONLINE SUPPLEMENTARY The Danish Fertility Database (Blenstrup et al, 2011) contains data on reproductive variables for all women in Denmark aged 13–49 years from 1980 to the present. Supplementary analyses Stratification according to type of statin (lipophilic / hydrophilic) Among all statin users, 87.6% were exclusive users of lipophilic statins and 12.4% were ever users of hydrophilic statins. Restricting the overall analyses to exclusive use of lipophilic statins yielded risk estimates of epithelial ovarian cancer and histological types close to those of the main analysis (Supplementary Table 2). Likewise, the odds ratios (ORs) for epithelial and serous ovarian cancer according to duration and intensity of exclusive lipophilic statin use were also similar to those of the main analysis (data not shown). Ever use of hydrophilic statins was associated with ORs for epithelial and serous ovarian cancer of 1.08 (95% confidence interval (CI) =0.82–1.42) and 1.24 (95% CI=0.91–1.69), respectively (data not shown). The low prevalence of hydrophilic statin use precluded meaningful evaluation of duration, intensity and associations with the three other histological types. Family history of ovarian and breast cancer Using the Civil Registration System (Pedersen, 2011) and the Danish Cancer Registry (Gjerstorff, 2011), we assessed the family history of ovarian and breast cancer for women born after 1953. Within the subgroup of these women, additional adjustment for family history of ovarian or breast cancer did not materially change the ORs for epithelial ovarian cancer associated with statin use (data not shown). Oral contraceptives and hormonal replacement therapy Elderly women in our study population might have been misclassified as non-users of oral contraceptives and hormonal replacement therapy (HRT) if they had used these agents before 1995. We repeated the analyses with restriction to women born after 1953, i.e., women aged 42 years or younger in 1995, for whom we assumed to have complete 3 ONLINE SUPPLEMENTARY information on HRT use and fair information on oral contraceptive use. The results of this sensitivity analysis were close to those of the main analyses, indicating that residual confounding by use of these agents did not constitute a major limitation of our study. Stratification by age and menopausal status We evaluated potential effect measure modification by age in five age categories (30–39, 40–49, 50–59, 60–69, and 70–84) and of menopausal status (“pre/perimenopausal”, ≤ 50 years; “postmenopausal”, > 50 years) by including interaction terms between statin use and age or menopausal status, respectively. We found no statistical significant interactions (on multiple scales) with age (p interaction = 0.26) or menopausal status (p interaction = 0.33). Stratification by history of ischaemic cardio- or cerebrovascular disease We also evaluated potential effect measure modification by history of ischaemic cardio- or cerebrovascular disease. Ever use of statins was associated with a slightly higher OR for epithelial ovarian cancer among women with a history of ischaemic cardio- or cerebrovascular disease (OR=1.23, 95% CI=0.98–1.55) as compared with women without such history (OR=0.96, 95% CI=0.83–1.10) (p interaction = 0.06) (data not shown). We have no ready explanation for this finding. Additional evaluation of these results might have been possible in a comparison of statin use with use of non-statin lipid-lowering drugs (Friis et al, 2005), however, use of the latter declined dramatically during the study period, and the statistical precision of this comparison was too poor to provide meaningful results. 4 ONLINE SUPPLEMENTARY Supplementary references Baadsgaard M, Quitzau J (2011) Danish registers on personal income and transfer payments. Scand J Public Health 39(7 Suppl): 103–105, doi:10.1177/1403494811405098 Blenstrup LT, Knudsen LB (2011) Danish registers on aspects of reproduction. Scand J Public Health 39(7 Suppl): 79–82, doi:10.1177/1403494811399957 Brugts JJ, Yetgin T, Hoeks SE, Gotto AM, Shepherd J, Westendorp RG, de Craen AJ, Knopp RH, Nakamura H, Ridker P, van Domburg R, Deckers JW (2009) The benefits of statins in people without established cardiovascular disease but with cardiovascular risk factors: meta-analysis of randomised controlled trials. BMJ 338: b2376, doi:10.1136/bmj.b2376 Danish Board of Health. Operations- og behandlingsklassifikation [Danish Classification of Surgical Procedures and Therapies] (1973, 1980, 1988). Schultz Grafisk A/S: Copenhagen, 1st, 2nd, 3rd edn. Friis S, Poulsen AH, Johnsen SP, McLaughlin JK, Fryzek JP, Dalton SO, Soerensen HT, Olsen JH (2005) Cancer risk among statin users: a population-based cohort study. Int J Cancer 114: 643–647, doi:10.1002/ijc.20758 Gjerstorff ML (2011) The Danish Cancer Registry. Scand J Public Health 39(7 Suppl): 42–45, doi:10.1177/1403494810393562 Jensen VM, Rasmussen AW (2011) Danish Education Registers. Scand J Public Health 39(7 Suppl): 91-94, doi:10.1177/1403494810394715 Kildemoes HW, Sorensen HT, Hallas J (2011) The Danish National Prescription Registry. Scand J Public Health 39(7 Suppl): 38–41, doi:10.1177/1403494810394717 5 ONLINE SUPPLEMENTARY Lynge E, Sandegaard JL, Rebolj M (2011) The Danish National Patient Register. Scand J Public Health 39(7 Suppl): 30–33, doi:10.1177/1403494811401482 NOMESCO. Nordic Classification of Surgical Procedures. Available at http://medinfo.dk/sks/brows/php Pedersen CB (2011) The Danish Civil Registration System. Scand J Public Health 39(7 Suppl): 22–25, doi: 10.1177/1403494810387965 WHO (2010) Collaborating Centre for Drug Statistics Methodology. Guidelines for ATC Classification and DDDs Assignment 2011: Oslo 6 ONLINE SUPPLEMENTARY Supplementary Table 1. Codes used in the analysis a The Danish Cancer Register ICD-10 Ovarian cancer DC56 ICD-O-3 Serous ovarian cancer 84413, 84603, 84613, 90143 Mucinous ovarian cancer 84703, 84713, 84803, 84813, 90153 Endometroid ovarian cancer 83803, 83813, 85703, 89333, 89803 Clear cell ovarian cancer 83103, 83133, 84903 Danish Prescription Registryb Anathomical Therapeutic Classification codes Lipophilic statins Simvastatin C10AA01 Lovastatin C10AA02 Fluvastatin C10AA04 Atorvastatin C10AA05 Cerivastatin C10AA06 Hydrophilic statins Pravastatin C10AA03 Rosuvastatin C10AA07 Other drugs Paracetamol N02BE01 Low-dose aspirin B01AC06 Oral contraceptives G03A Hormonal replacement therapy G03C, G03D, G03F, G03HB01 Fertility drugsc G03DA04, G03GA, G03GB02 Antidiabeticsc A10A, A10B National Patient Registry: hospital discharge codes ICD-8 (1977–1993) Infertilityc 628 Endometriosis 625.29–625.39 Diabetes mellitusc,d Chronic obstructive pulmonary disease or 249, 250 asthmad Ischaemic cardiovascular and cerebrovascular 491–493 disease d 410–414, 431–434, 440 ICD-10 (since 1994) Infertilityc N97 Endometriosis Diabetes N80 mellitusc,d E10–E14 Chronic obstructive pulmonary disease or asthmad Ischaemic cardiovascular and cerebrovascular J41–46 diseased 7 I20, I21, I23–I25, I61, I63, I64 ONLINE SUPPLEMENTARY Supplementary Table 1. Codes used in the analysis (continued) a National Patient Registry: procedure codes Danish Classification of Surgical Procedures and Therapies (1977–1995): Bilateral oophorectomy and salpingo-oophorectomy 60120, 60320 Tubal sterilization 60800, 60810, 60820, 60830, 60840 Hysterectomi 61000, 61020, 61040, 61100 Nordic Classification of Surgical Procedures (since 1996): Bilateral oophorectomy and salpingo-oophorectomy LAE20, LAE21, LAF10, LAF11 Tubal sterilization Hysterectomi LGA KLCC10, KLCC11, KLCC20, KLCD00, LCD01, KLCD04, KLCD10, KLCD11, KLCD30, KLCD31, KLCD40, KLCD96, KLCD97, KLCE00, KLCE10, KLCE20, KLCE96, KLEF13, KMCA33 Abbreviations: ICD = International Classification of Diseases; NSAIDs = nonsteroidal anti-inflammatory drugs. a All variables were defined 1 year before index date b Use was defined as ≥ 2 prescriptions on separate dates c A history of infertility or diabetes mellitus was defined as a composite measure of the hospital diagnosis and / or prescription(s) for fertility drugs or antidiabetics. d The exposure window for the comorbid conditions was left truncated to 23 years before the index date to obtain the same length of hospital history for all women in the study. 8 ONLINE SUPPLEMENTARY Supplemetary Table 2. Risk for epithelial ovarian cancer and histological types by ever use of lipophilic statins exclusively Histological type by statin use Cases Controls 3669 52 261 375 5646 2411 34 513 273 3998 593 8306 52 866 434 6023 25 476 231 3419 25 306 Age-matched OR (95% CI) Adjusted ORa (95% CI) Epithelial ovarian cancer Non-use Exclusive lipophilic statin use b 1.00 (referent) 1.00 (referent) 0.94 (0.84–1.05) 0.97 (0.86–1.10) 1.00 (referent) 1.00 (referent) 0.97 (0.85–1.11) 1.00 (0.87–1.16) 1.00 (referent) 1.00 (referent) 0.83 (0.61–1.12) 0.83 (0.60–1.16) 1.00 (referent) 1.00 (referent) 0.69 (0.45–1.07) 0.72 (0.45–1.14) 1.00 (referent) 1.00 (referent) 1.29 (0.81–2.06) 1.42 (0.84–2.39) Serous ovarian cancer Non-use Exclusive lipophilic statin useb Endometroid ovarian cancer Non-use Exclusive lipophilic statin use b Mucinous ovarian cancer Non-use Exclusive lipophilic statin use b Clear cell ovarian cancer Non-use Exclusive lipophilic statin useb Abbreviations: OR = odds ratio; CI = confidence interval a Adjusted for age (by matching), parity (0, 1, 2, ≥ 3), infertility (ever/never), endometriosis (ever/never), diabetes mellitus (ever/never), chronic obstructive pulmonary disease or asthma (ever/never), hysterectomy (ever/never), tubal sterilization (ever/never), education (basic, higher, vocational, unknown), income (low, medium, high), and use of oral contraceptives (ever/never), hormonal replacement therapy (ever/never), paracetamol (ever/never), and low-dose aspirin (ever/never). b Among all statin users, 87.5% were users of exclusive lipophilic statins. Lipophilic statins include Simvastatin (C10AA01), Atorvastatin (C10AA05), Lovastatin (C10AA02), Fluvastatin (C10AA04), and Cerivastatin (C10AA06). 9