Literature DB >> 23519057

Cohort study of adherence to adjuvant endocrine therapy, breast cancer recurrence and mortality.

B Makubate1, P T Donnan, J A Dewar, A M Thompson, C McCowan.   

Abstract

BACKGROUND: Adjuvant endocrine therapy is recommended for women with oestrogen receptor-positive breast cancer, but many women do not take the medication as directed and they stop treatment before completing the standard 5-year duration.
METHODS: This retrospective cohort study conducted between 1993 and 2008 of all women with incident breast cancer, who are residing in the Tayside region of Scotland, examined adherence to prescribed adjuvant tamoxifen or aromatase inhibitors (AIs). Survival analysis examined the effect of adherence on all-cause mortality, breast cancer death and recurrence, using linked prescribing, cancer registry, clinical cancer audit, hospital discharge and death records.
RESULTS: A total of 3361 women with breast cancer were followed for a median 4.47 years (interquartile range (IQR)=2.04-8.55). The median overall adherence was 90% (IQR=90-100%), but the annual adherence reduced after a longer period from diagnosis. Low adherence of <80% was associated with poorer survival (hazard ratios=1.20; 95% confidence interval=1.03-1.40, P=0.019). There was no significant difference for low adherence over the treatment period and recurrence, or breast cancer death, but patients with high annual adherence for 5 years had better outcomes than those with 3 or less.
CONCLUSION: Low adherence to all adjuvant endocrine therapy for women with breast cancer, whether tamoxifen or AI, increases the risk of death.

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Year:  2013        PMID: 23519057      PMCID: PMC3629427          DOI: 10.1038/bjc.2013.116

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Adjuvant endocrine therapy is recommended for a 5-year period for women with early breast cancer with oestrogen receptor (ER)- or progesterone receptor-positive cancers (Scottish Intercollegiate Guideline Network Guidelines, 2005). Aromatase inhibitors (AIs) and tamoxifen have been shown to reduce recurrence and mortality in post-menopausal women, and tamoxifen has shown similar benefits for pre-menopausal and peri-menopausal women (Cuzick ; Early Breast Cancer Trialists' Collaborative Group, 2011; van de Velde ). Both classes of drug are taken orally on a daily basis, but many women do not take their medication as prescribed, with a proportion stopping before completing the full 5-year course or others not taking a daily tablet on a regular basis (Ruddy ). Stopping medication early relates to duration and persistence, or continuation of therapy. The former normally relates to the overall time a patient takes the medication, ignoring any breaks, whereas the latter measures the time from commencement of medication before a break of a pre-specified length. Adherence is a measure of how well the patient takes the medication compared with the instructions given by the clinician, which is daily for endocrine therapy. Studies using patients' pharmacy records have reported poor persistence with tamoxifen, with between one-third to half of the women stopping their medication early and up to 22% having stopped by 1 year (Barron ; Ma ; McCowan ; Owusu ; Narod, 2010; van Herk-Sukel ). Other studies that examined patients taking tamoxifen or AIs reported 32% and 50%, respectively, of patients stopping medication before 5 years (Hershman ; van Herk-Sukel ). Several of these studies and other work have shown an increased risk of mortality for patients who stop endocrine therapy early (Ma ; McCowan ; Yood ; Hershman ). For adherence, self-reported adherence was higher than that seen using prescription data (Ziller ). Studies that have examined prescribing records have reported between 19 and 28% of women having adherence below 80%, and that although mean adherence is high, it falls progressively with each year from the date of diagnosis (Patridge ; McCowan ; Partridge ; Hershman ). Previous work by the authors was the first to show an association between patients with low adherence to tamoxifen of 80% (or less) and increased risk of all-cause mortality (McCowan ). Subsequent studies by other groups have confirmed this association, with one large US study showing an association for tamoxifen and AIs (Dezentje ; Hershman ). This study aimed to extend that work (McCowan ) by investigating adherence to adjuvant tamoxifen and AIs with a longer follow-up period of women with breast cancer, residing in Tayside, Scotland. The main objectives were to describe the use of endocrine therapy, including adherence and persistence for tamoxifen and AIs, and to investigate whether adherence to endocrine therapy was associated with all-cause and breast cancer-specific mortality, and recurrence after adjusting for clinical and demographic factors.

Materials and methods

Identification of study cohort

Women who were residents of Tayside, with a hospital discharge or cancer registry record for breast cancer from January 1993 to December 2008, or until death, were identified using previously described methods (McCowan ). Prescribing, hospital discharge, cancer registry, cancer audit and General Registrar's Office death certificates were extracted, record-linked and anonymised for all women with breast cancer, who were resident for the entire study period or until death.

Study covariates

Date of diagnosis was recorded from either the Cancer Registry or the clinical audit records and age at diagnosis derived from this and the recorded date of birth. The duration between date of diagnosis and the first time the patient received treatment was calculated, and subsequent follow-up calculated from this initial date of treatment to the date of death or until 31 December 2008, the study cut-off point. Similarly, time taken to recurrence from start of treatment was calculated. Deprivation was collected for patients using the Scottish Index of Multiple Deprivation based on home postcode (Scottish Government, 2012). Charlson's comorbidity index was derived for each patient using standard procedures and the ICD codes version 9 and 10 in the hospital admission records, and was augmented as previously described with prescribing records for specific medications (McCowan ). Charlson's index scores were categorised into three groups with low (0–2), medium (3–5) and high (6+) comorbidity. The clinical characteristics of the cancer at diagnosis were recorded using clinical and pathological TNM categories (tumour stage, nodal stage and metastases).

Treatment adherence

Prescribing records for endocrine therapy (tamoxifen or AIs) and the number of days covered by each prescription, recorded from the number of dispensed tablets and the daily dose, were examined. Records for each individual patient were then used to calculate an adherence index across the entire duration of therapy, up to 5 years, based on the total days covered by all prescriptions and their duration of use. Patients with an adherence index less than 80%, the cut-off value widely used in previous studies, were deemed to have low adherence (McCowan ). Patient medication use was also split into annual periods from initiating treatment until end of follow-up and adherence over each year calculated. The cumulative number of years, when the patient was deemed to have low adherence, were recorded for each annual period for a maximum of 5 years. Persistence was calculated as the length of time from the first prescription to a break of at least 180 days before the completion of 5 years of therapy (Demissie ). Patients were flagged as starting an endocrine therapy, and their dispensed prescribing were analysed to see whether they completed a 5-year course. Patients were flagged as stopping medication if they had no prescriptions for any endocrine therapy for a 6-month period and were censored if they died or were at the end of follow-up.

Outcome variables

The three main outcome measures were all-cause mortality, breast cancer mortality and recurrence of breast cancer. Recurrence information was recorded from a case note review carried out on all identified patients for the period for 5 years after diagnosis. Date of death was obtained from the General Register Office death certificates, with the underlying cause of death examined and subsequently classed as breast cancer where appropriate.

Statistical analysis

Data were described as number of subjects (percentages) for categorical variables and mean (s.d.) for continuous variables. Where continuous variables did not follow a normal distribution, and tested using the Kolmogorov–Smirnov test for normality, the median and interquartile range (IQR) were reported. χ2-Tests for trend (χ2-statistic, degrees of freedom, probability) were reported for differences in distribution of the population with n categories. Cox proportional hazards models were employed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for each covariate for all-cause mortality, breast cancer mortality and recurrence. Patients were followed from commencement of endocrine therapy until time of death or the end of the study. Multivariate results are presented as HRs and 95% CIs. Covariates were included in the multivariate model if they were deemed to be of clinical significance. The proportional hazards assumption was assessed using the log(−log(survival)) plot, and those that failed the assumption or that were deemed to be time dependent were entered as continuous time-dependent covariates (Bradburn ). The study was granted approval from the Tayside Caldicott Guardian. The study used anonymous data with management and analysis performed in line with the Health Informatics Centre standard operating procedures, which are NHS Research Ethics Committee (REC)-approved; hence, specific REC approval for the project was not required. All statistical analyses were performed with IBM SPSS Statistics Version 17 (SPSS Inc. (2008)).

Results

Overall, 4815 patients were identified with prescribing, hospital admission records for breast cancer surgery, cancer audit and cancer registry records over the 15 years between 1 January 1993 and 31 December 2008. Among these women, we excluded 195 women (4%), who were known to have cancer before 1993, who were diagnosed with ductal carcinoma in situ or who received endocrine therapy more than 6 months before their diagnosis. This left 4619 patients for whom the median age at diagnosis was 63 years (IQR=52–74), and patients were followed for a total of 19 890 person-years with a median follow-up of 4.47 years (IQR=2.04–8.55 years). Sixty-nine per cent of women were followed up for at least 5 years or until death. Over the 15 years of the study period, there were 1621 (35%) deaths, 1073 (23%) attributed to breast cancer as the underlying cause of death and 761 (17%) breast cancer recurrences were observed.

Effects of demographic factors on the use of the endocrine therapy

There were 1258 (27%) women who did not receive adjuvant endocrine therapy. Older patients were more likely to use endocrine therapy (P<0.001) and those with more advanced disease were less likely to do so (see Table 1). There were no significant differences in deprivation (P=0.314), comorbidity scores at diagnosis (P=0.564) or menopausal status (P=0.073) between those who did and those who did not receive treatment.
Table 1

Demographic characteristics and presentation of cancer by use of adjuvant therapy in Tayside, Scotland (n=4619)

 
 
Patients with treatment (%)
 
 No treatment (%)TamoxifenAIs onlyMixedNo treatment vs treatment (χ2; d.f.; P-value)
Numbers
1258 (27)
2230 (48)
412 (9)
719 (16)

Age group
<4074 (6)97 (4)1 (0)35 (5)23.9; 5; <0.0001
40–49180 (14)328 (15)11 (3)118 (16)
50–59293 (23)553 (25)65 (16)174 (24)
60–69330 (26)486 (22)116 (28)169 (24)
70–79227 (18)442 (20)99 (24)128 (18)
80+151 (12)324 (15)120 (29)95 (13)
Unknown
3 (1)
0 (0)
0 (0)
0 (0)

SIMD quintile
1137 (11)307(14)56 (13)90 (12)4.7; 4; 0.314
2130(10)299 (14)61 (15)115 (16)
3194(15)362 (16)63 (15)120 (17)
4347 (28)722 (32)153 (37)221 (31)
5220 (18)500 (22)77 (19)161(22)
Unknown
230 (18)
40 (2)
2 (1)
12 (2)

Charlson's index
0–2368 (29)650 (29)132 (32)230 (32)1.1; 2; 0.564
3–5486 (39)888 (40)160 (39)277 (38)
6+
404 (32)
692 (31)
120 (29)
212 (30)

Menopausal status
Pre189 (15)268 (12)5 (1)106 (15)5.2; 2; 0.073
Peri28 (2)57 (3)4 (1)23 (3)
Post646 (52)914 (41)301 (73)369 (51)
Unknown
395 (31)
991 (44)
102 (25)
221 (31)

Tumour stage
1235 (19)600(27)45 (11)147 (20)6.2; 3; 0.101
2215 (17)445 (21)69 (17)138 (19)
359 (4)91 (4)12 (3)34 (5)
494 (8)119 (5)38 (9)92 (13)
Unknown
655 (52)
975 (43)
248 (60)
308 (43)

Clinical nodes
0653 (52)1386 (62)137 (33)421 (59)11.7; 2; 0.003
1147 (12)194 (9)59 (14)118 (16)
241 (3)29(1)14 (4)21 (3)
Unknown
417 (33)
621 (28)
202 (49)
159 (22)

Clinical metastases
No755 (60)1540 (69)162 (39)504 (70)6.9; 1; 0.008
Yes57 (5)50 (2)17 (4)40 (6)
Unknown
446 (36)
640 (29)
233 (57)
175 (24)

Tumour grade
167(5)317 (14)27 (7)51 (7)266.8; 2; <0.0001
2259 (21)827 (37)217 (53)296 (41)
3593 (47)502 (23)141 (34)238 (33)
Unknown
339 (27)
584 (26)
27 (6)
134 (19)

ER status
Positive412 (33)1399 (63)382 (93)539 (75)1021.6; 1; <0.0001
Negative564 (45)165 (7)8 (2)28 (4)
Unknown282 (22)666 (30)22 (5)152 (21)

Abbreviations: AI=aromatase inhibitor; ER=oestrogen receptor; SIMD=Scottish Index of Multiple Deprivation.

The remaining analyses relate to the 3361 patients who commenced adjuvant endocrine medication. Five hundred and twelve patients (15%) started on an AI, while 2849 (85%) commenced on tamoxifen. Of the 512 patients started on an AI, 100 (20%) switched treatments, while 619 (22%) switched treatments from tamoxifen to AI. There were 1194 (36%) of the 3361 women with breast cancer who died during the study. Patients were generally highly adherent to their medication during the course of treatment with a median adherence of 90% (IQR=90–100%). However, looking at annual adherence over time from starting medication, there was a decrease in adherence: the median adherence was 90%, 82%, 77%, 59% and 51% in the first, second, third, fourth and fifth years, respectively. There was a trend for older women to have higher adherence (P<0.0001) and patients were more likely to adhere to the treatment therapy if they started on AI (P=0.001), but there was no difference by other characteristics (Table 2).
Table 2

Descriptive statistics of adjuvant endocrine cohort (n=3361) by adherence

 Low adherence (%)High adherence (%)χ2-test (Pearson's, d.f., P-value)
Numbers
576 (17)
2785 (83)

SIMD quintile
189 (16)364 (13)9.7; 4; 0.044
288 (15)387 (14)
3109 (19)436 (16)
4164 (29)932 (34)
5120 (21)618 (23)
Unknown
6
48

Age group
<4045 (8)88 (3)41.8; 5; <0.0001
40–4994 (16)363 (13)
50–59149 (26)643 (23)
60–69114 (20)657 (24)
70–7990 (16)579 (21)
80+
84 (14)
455 (16)

Charlson's index
0–2179 (31)833 (30)0.4; 2; 0.809
3–5227 (39)1098 (39)
6+
170 (30)
854 (31)

Tumour stage
1152 (44)640 (43)6.8; 3; 0.077
2111 (33)541 (36)
336 (11)101 (7)
443 (12)206 (14)
Unknown
234
1297

Clinical nodes
0353 (80)1591 (82)0.5; 2; 0.785
173 (17)298 (15)
212 (3)52 (3)
Unknown
138
844

Clinical metastases
No410 (94)1796 (96)1; 1; 0.320
Yes24 (6)83 (4)
Unknown
142
906

Tumour grade
170 (17)325 (15)2.5; 2; 0.282
2201 (48)1139 (52)
3150 (35)731 (33)
Unknown
155
590

ER status
Positive362 (90)1958 (92)3.9; 1; 0.050
Negative42 (10)159 (8) 
Unknown172668 

Abbreviations: ER=oestrogen receptor; SIMD=Scottish Index of Multiple Deprivation.

There were 576 (17%) patients with low adherence of whom 266 (46%) died during follow-up compared with the 2785 (83%) patients with high adherence of whom 928 (33%) died. Using a multivariate model adjusting for all factors, patients with low adherence of endocrine therapy were at significantly higher risk of all-cause mortality (HR=1.199; 95% CI=1.030, 1.396; P=0.019). A separate multivariate model adjusting for the same factors, but looking at cumulative years of adherence that showed patients with less than 3 years good adherence (i.e., >80%), were at increased risk of death compared with patients having 5 years of good adherence. Increasing age, tumour stage, nodal stage, tumour grade, presence of metastases, negative ER status and a delay in starting medication for 6 months or more also increased the risk of all-cause mortality (Table 3).
Table 3

Multivariate association between adherence and all-cause mortality adjusted for covariates

 
Unadjusted
Adjusted
PredictorHR95% CIP-valueHR95% CIP-value
Adherence
⩾0.811
<0.8
1.099
0.943–1.281
0.226
1.199
1.030–1.396
0.019
Cumulative adherencea
⩾511
41.1380.871–1.4860.3451.3901.081–1.7860.010
31.7541.353–2.274<0.00012.1921.708–2.813<0.0001
23.5512.755–4.576<0.00014.6863.689–5.952<0.0001
⩽1
5.595
4.426–7.071
<0.0001
8.147
6.479–10.244
<0.0001
Menopause
Pre11
Peri0.2350.086–0.6420.0050.2040.075–0.5590.002
Post1.9371.526–2.459<0.00010.5480.414–0.724<0.0001
Unknown
1.810
1.425–2.299
<.0001
0.568
0.431–0.749
<0.0001
Age
+1 year
1.051
1.046–1.055
<0.0001
1.052
1.047–1.058
<0.0001
SIMD quintile
111
21.0410.848–1.2780.7021.0510.854–1.2940.636
30.9450.772–1.1560.5810.9330.761–1.1450.508
40.8780.734–1.0510.1570.9300.775–1.1160.433
50.7520.617–0.9150.0040.8190.671–0.9990.049
Unknown
1.486
0.984–2.243
0.060
1.453
0.955–2.210
0.081
Tumour stage
T111
T22.1401.785–2.566<0.00011.4581.212–1.756<0.0001
T33.7312.885–4.826<0.00012.1831.659–2.872<0.0001
T44.5323.675–5.589<0.00011.6161.274–2.050<0.0001
Unknown
1.576
1.329–1.868
<0.0001
1.146
0.944–1.392
0.169
Nodal stage
N011
N12.7412.343–3.206<0.00011.6651.404–1.975<0.0001
N23.5162.587–4.777<0.00011.5181.079–2.1350.017
Unknown
1.303
1.137–1.492
<0.0001
1.264
0.983–1.625
0.068
Metastases stage
M011
M14.4393.539–5.566<0.00011.8351.412–2.385<0.0001
Unknown
1.133
0.995–1.290
0.059
0.758
0.597–0.961
0.022
Tumour grade
G111
G21.6391.277–2.105<0.00011.3001.009–1.6740.042
G32.4191.880–3.112<0.00011.7891.379–2.321<0.0001
Unknown
3.234
2.532–4.130
<0.0001
1.788
1.355–2.360
<0.0001
ER status
Positive11
Negative2.6812.225–3.230<0.00012.0191.643–2.481<0.0001
Unknown
1.771
1.565–2.005
<0.0001
1.444
1.214–1.717
<0.0001
Treatment therapy
Tam11
AI1.8461.466–2.325<0.00011.4891.164–1.9060.002
Mix
1.378
1.209–1.571
<0.0001
1.231
1.071–1.416
0.003
Charlson's index
0–211
3–50.9590.836–1.1000.5501.0370.902–1.1930.607
6+
0.996
0.862–1.150
0.951
1.073
0.927–1.242
0.343
Delay
⩽6 months11
>6 months1.0400.880–1.2280.6481.4301.189–1.721<0.0001

Abbreviations: AI=aromatase inhibitor; CI=confidence interval; ER=oestrogen receptor; HR=hazards ratio; SIMD=Scottish Index of Multiple Deprivation; Tam=tamoxifen.

Cumulative adherence calculated in a separate model.

There were 740 patients reported as having breast cancer as the cause of death, 137 (33%) in patients with low adherence and 607 (21%) in those with high adherence. There was no significant increased risk of breast cancer death by level of adherence over the entire treatment period using multivariate models. However, a separate model suggested patients with 5 years of cumulative adherence were at lower risk of breast cancer death than those with 3 years high adherence or less. Increasing age, tumour stage, nodal stage, tumour grade, presence of metastases, negative ER status and a delay in starting medication for 6 months or more also increased the risk of breast cancer mortality (Table 4).
Table 4

Multivariate association between adherence and breast-cancer mortality adjusted for covariates

 
Unadjusted
Adjusted
PredictorHR95% CIP-valueHR95% CIP-value
Adherence
⩾0.811
<0.8
1.297
1.077–1.563
0.006
1.150
0.950–1.393
0.152
Cumulative adherencea
⩾511
41.0290.677–1.5640.8941.6551.119–2.4490.012
32.1001.426–3.093<0.00012.9632.023–4.339<0.0001
24.8493.343–7.034<0.00016.8234.747–9.807<0.0001
⩽1
8.635
6.092–12.239
<0.0001
13.374
9.414–19.000
<0.0001
Menopause
Pre11
Peri0.2950.199–0.7300.0080.3310.133–0.8210.017
Post1.1490.895–1.4750.2770.6310.465–0.8560.003
Unknown
1.159
0.902–1.488
0.248
0.623
0.463–0.840
0.002
Age
1 year
1.024
1.019–1.030
<0.0001
1.023
1.016–1.030
<0.0001
SIMD quintile
111
21.0510.806–1.3690.7151.0470.802–1.3680.736
31.0080.779–1.3050.9491.0920.842–1.4160.509
40.9060.719–1.1420.4050.9600.760–1.2130.733
50.8290.646–1.0640.1410.9360.727–1.2060.611
Unknown
1.209
0.679–2.152
0.518
1.473
0.820–2.646
0.195
Tumour stage
T111
T23.2292.493–4.183<0.00012.2281.711–2.903<0.0001
T37.1155.166–9.801<0.00013.4932.481–4.920<0.0001
T47.2655.476–9.638<0.00012.3091.673–3.186<0.0001
Unknown
2.198
1.715–2.819
<0.0001
1.399
1.060–1.847
0.018
Nodal stage
N011
N13.7703.131–4.539<0.00011.9671.608–2.407<0.0001
N24.8083.392–6.816<0.00011.5081.013–2.2470.043
Unknown
1.466
1.228–1.749
<0.0001
1.349
0.973–1.870
0.072
Metastases stage
M011
M16.2684.894–<0.00012.1191.574–2.853<0.0001
Unknown1.2558.0270.0070.9380.699–1.2610.673


1.066–1.479




Tumour grade
G111
G23.0371.990–4.635<0.00012.0891.364–3.1980.001
G35.4803.599–8.344<0.00013.2742.133–5.026<0.0001
Unknown
6.268
4.128–9.518
<0.0001
3.293
2.097–5.171
<0.0001
ER status
Positive11
Negative3.1132.489–3.894<0.00012.3501.831–3.017<0.0001
Unknown
1.758
1.501–2.061
<0.0001
1.403
1.119–1.759
0.003
Treatment therapy
Tam11
AI2.3501.785–3.093<0.00012.1331.583–2.874<0.0001
Mix
2.395
2.053–2.793
<0.0001
2.091
1.773–2.467
<0.0001
Charlson's index
0–211
3–50.9740.818–1.1600.7671.0890.912–1.3010.345
6+
1.012
0.842–1.215
0.901
1.132
0.939–1.364
0.193
Delay
⩽6 months11
>6 months1.4111.168–1.703<0.00011.3051.054–1.6150.014

Abbreviations: AI=aromatase inhibitor; CI=confidence interval; ER=oestrogen receptor; HR=hazards ratio; SIMD=Scottish Index of Multiple Deprivation; Tam=tamoxifen.

Cumulative adherence calculated in a separate model.

There were a total of 552 recurrences reported from case note reviews, 123 (30%) in patients with low adherence and 429 (15%) in patients with high adherence. There was no significant difference in risk of recurrence for patients with low adherence over the entire treatment period after adjusting for other factors. However, fewer cumulative years of high adherence was associated with increased risk of recurrence, although this was only significant comparing 5 years against 3 or less. Tumour stage, nodal stage, tumour grade, presence of metastases or negative ER status and a delay in starting medication of 6 months or more increased the risk of recurrence (Table 5).
Table 5

Multivariate association between adherence and recurrence adjusted for covariates

 
Unadjusted
Adjusted
PredictorHR95% CIP-valueHR95% CIP-value
Adherence
⩾0.81  1  
<0.8
1.689
1.371–2.082
<0.0001
1.219
0.970–1.531
0.089
Cumulative adherencea
⩾511
41.0790.724–1.6070.7081.6531.136–2.4040.009
31.7301.179–2.539<0.0052.6671.838–3.868<0.0001
23.3572.304–4.889<0.00014.5673.160–6.601<0.0001
⩽1
3.353
2.329–4.827
<0.0001
5.860
4.074–8.429
<0.0001
Menopause
Pre11
Peri0.2920.128–0.6670.0040.3410.148–0.7850.011
Post0.7870.618–1.0010.0510.8120.592–1.1140.197
Unknown
0.428
0.329–0.557
<0.0001
0.400
0.291–0.551
<0.0001
Age
1 year
1.002
0.995–1.008
0.621
1.004
0.995–1.012
0.414
SIMD quintile
111
21.0930.792–1.5080.5461.1050.799–1.5290.546
31.1240.826–1.5310.1661.2470.913–1.7020.166
40.9770.738–1.2930.7551.0460.788–1.3890.755
50.8090.596–1.0990.3460.8610.631–1.1750.346
Unknown
0.711
0.287–1.761
0.761
0.868
0.347–2.168
0.761
Tumour stage
T111
T22.6432.003–3.488<0.00012.2641.702–3.011<0.0001
T34.6973.212–6.870<0.00012.5141.671–3.782<0.0001
T44.5403.252–6.337<0.00011.9801.352–2.902<0.0001
Unknown
1.609
1.231–2.103
<0.0001
1.284
0.956–1.725
0.097
Nodal stage
N011
N13.1312.502–3.918<0.00011.9661.547–2.498<0.0001
N23.7452.377–5.901<0.00011.7121.024–2.8620.040
Unknown
0.965
0.771–1.208
0.756
1.378
0.943–2.015
0.098
Metastases stage
M011
M13.2122.156–4.785<0.00011.1660.738–1.8430.510
Unknown
0.834
0.676–1.029
0.090
0.954
0.678–1.343
0.788
Tumour grade
G111
G21.9481.319–2.8780.0011.3730.924–2.0390.117
G33.8672.632–5.682<0.00012.2431.506–3.340<0.0001
Unknown
2.307
1.546–3.440
<0.0001
1.890
1.202–2.973
0.006
ER status
Positive11
Negative2.4111.837–3.165<0.00012.6951.993–3.644<0.0001
Unknown
1.011
0.825–1.239
0.917
1.272
0.964–1.680
0.089
Treatment therapy
Tam11
AI1.9221.258–2.9370.0031.6931.084–2.6440.021
Mix
4.893
4.077–5.873
<0.0001
4.606
3.792–5.594
<0.0001
Charlson's index
0–211
3–51.0280.833–1.2700.7951.1310.913–1.4010.260
6+
1.048
0.839–1.309
0.682
1.165
0.929–1.462
0.185
Delay
⩽6 months11
>6 months1.8641.509–2.303<0.00011.3601.070–1.7270.012

Abbreviations: AI=aromatase inhibitor; CI=confidence interval; ER=oestrogen receptor; HR=hazards ratio; SIMD=Scottish Index of Multiple Deprivation; Tam=tamoxifen.

Cumulative adherence calculated in a separate model.

The use of AIs as endocrine therapy either alone or in sequence with tamoxifen was associated with an increased risk of all-cause mortality (AIs: 1.489, 95% CI=1.164–1.906; combination: 1.231, 95% CI=1.071–1.416), breast cancer-specific mortality (AIs: 2.133; 95% CI=1.583–2.874; combination: 2.091, 95% CI=1.773–2.467) and recurrence (AIs: 1.693, 95% CI=1.084–2.644; combination: 4.606, 95% CI=3.792–5.594). To examine any effect based on year of diagnosis, the three models were repeated with this variable added, but there was little difference on the reported effect of adherence (for all-cause mortality low adherence HR=1.184; 95% CI=1.010–1.389; P=0.037) and year of diagnosis was not a significant predictor. However, dichotomising year of diagnosis to 1993 to 2001 or 2002 onwards did show an effect (for all-cause mortality 1993–2001 vs 2002 onwards; HR=1.316; 95% CI=1.022–1.696; P=0.033), but there was again no difference on the reported effect of adherence.

Discussion

This study reports that low adherence is associated with increased all-cause mortality, and that the longer a patient is adherent, the less their risk of all-cause and breast cancer-specific mortality and recurrence. Our findings also confirm that although overall adherence to daily oral adjuvant endocrine therapy in the community setting is initially high, as time progresses patients become less adherent. Many women do not take their adjuvant therapy for the recommended 5-year period, with ∼52% of those who began having discontinued treatment by 5 years. Using AIs alone or sequentially with tamoxifen was associated with poorer outcomes in post-menopausal women, reflecting the local management policy in practice at the time of the study, where women at higher risk of recurrence following initial treatment of the primary breast cancer were prescribed AIs, whereas women perceived to be at lower risk of recurrence were prescribed tamoxifen. A delay in starting treatment of 6 months or more was also associated with poorer outcomes, but this would again reflect higher-stage disease and additional adjuvant therapies (adjuvant systemic chemotherapy and post-operative radiotherapy) following primary surgery. However, even after adjusting for these factors and tumour characteristics on presentation, high adherence was associated with better outcomes. Comorbidity was not associated with worse outcomes within this analysis and socio-economic status was only significant, showing a reduction for the most affluent women compared with the most deprived for all-cause mortality. Our results are consistent with other studies that have shown high discontinuation (in the range of 30–51%) and poor adherence among women prescribed adjuvant endocrine therapy (McCowan ; Hershman ). Seventeen per cent of adjuvant endocrine therapy users had adherence below 80%, similar to studies reported elsewhere, with younger women particularly at risk (Murthy ; Partridge ; McCowan ; Hershman ). Hence, the characteristics of adjuvant endocrine therapy use, adherence and persistence in this population are similar to those from other published work. This study has added to the existing literature, supporting the link between low adherence and increased all-cause mortality, but has added that longer periods of high adherence are associated with better outcomes. In terms of generalisability, the study population comprised women who had a first incident breast cancer and started endocrine therapy, 70% of all women who were diagnosed with breast cancer in the region over the study period and so were highly representative. Similar to other studies in the literature, this study has defined adherence to medication by examining the encashment of prescriptions, although not all aspects of adherence can be covered by this method of measurement and each technique has its own advantages and disadvantages (Osterberg and Blaschke, 2005; McCowan ; Ho ). Adherence to medications may be assessed by direct methods including directly observed therapy or indirect methods, such as pill counts. We cannot tell if patients actually took the medication, but breast cancer patients are probably motivated to be adherent, as reflected in the high levels of adherence reported by this and other studies (Osterberg and Blaschke, 2005; McCowan ; Ho ). Furthermore, direct methods are not practical for routine clinical use in a population-based study and tend to result in unrealistically high measures, as the subjects know they are being monitored. We were unable to examine reasons for non-adherence, but a case note review of the women with an incidence of breast cancer between 1998 and 2007 had 382 women who discontinued medication, reporting they did so owing to side effects. Over half of the women, whose notes were reviewed, reported side effects due to endocrine therapy with differences by whether women were taking tamoxifen or AIs, which is reported elsewhere (McCowan and Thompson, 2012). Adherence to therapy is positively associated with improved patient outcomes; thus, it would seem important that clinical strategies to improve adherence are developed. A recent review highlighted managing side effects, improved patient education and better communication between the patient and health-care professional among strategies that may work, but further work is needed (Hadji, 2010).

Conclusion

Women with low adherence are at greater risk of all-cause mortality, and fewer years of high adherence is also associated with increased breast cancer-specific mortality and recurrence. Non-persistence with adjuvant endocrine therapy occurs in nearly half of patients prescribed treatment over the recommended 5-year course. Patients should be encouraged to take their medication on a daily basis for the full 5-year period, to ensure their best chance of survival.
  24 in total

Review 1.  Adherence to medication.

Authors:  Lars Osterberg; Terrence Blaschke
Journal:  N Engl J Med       Date:  2005-08-04       Impact factor: 91.245

2.  Noncompliance with adjuvant radiation, chemotherapy, or hormonal therapy in breast cancer patients.

Authors:  Aye Moe Thu Ma; Julie Barone; Ashley E Wallis; Nancy Jade Wu; Luiza Baez Garcia; Alison Estabrook; Sharon M Rosenbaum-Smith; Paul Ian Tartter
Journal:  Am J Surg       Date:  2008-10       Impact factor: 2.565

3.  Adjuvant tamoxifen: predictors of use, side effects, and discontinuation in older women.

Authors:  S Demissie; R A Silliman; T L Lash
Journal:  J Clin Oncol       Date:  2001-01-15       Impact factor: 44.544

4.  Early discontinuation of tamoxifen: a lesson for oncologists.

Authors:  Thomas I Barron; Róisín Connolly; Kathleen Bennett; John Feely; M John Kennedy
Journal:  Cancer       Date:  2007-03-01       Impact factor: 6.860

5.  Nonadherence to adjuvant tamoxifen therapy in women with primary breast cancer.

Authors:  Ann H Partridge; Philip S Wang; Eric P Winer; Jerry Avorn
Journal:  J Clin Oncol       Date:  2003-02-15       Impact factor: 44.544

Review 6.  The importance of nonpharmacogenetic factors in endocrine therapy.

Authors:  Colin McCowan; Alastair M Thompson
Journal:  Pharmacogenomics       Date:  2012-04       Impact factor: 2.533

7.  Mortality impact of less-than-standard therapy in older breast cancer patients.

Authors:  Marianne Ulcickas Yood; Cynthia Owusu; Diana S M Buist; Ann M Geiger; Terry S Field; Soe Soe Thwin; Timothy L Lash; Marianne N Prout; Feifei Wei; Virginia P Quinn; Floyd J Frost; Rebecca A Silliman
Journal:  J Am Coll Surg       Date:  2007-10-03       Impact factor: 6.113

8.  Predictors of tamoxifen discontinuation among older women with estrogen receptor-positive breast cancer.

Authors:  Cynthia Owusu; Diana S M Buist; Terry S Field; Timothy L Lash; Soe Soe Thwin; Ann M Geiger; Virginia P Quinn; Floyd Frost; Marianne Prout; Marianne Ulcickas Yood; Feifei Wei; Rebecca A Silliman
Journal:  J Clin Oncol       Date:  2007-12-10       Impact factor: 44.544

9.  Adherence to initial adjuvant anastrozole therapy among women with early-stage breast cancer.

Authors:  Ann H Partridge; Andrea LaFountain; Erica Mayer; Brooke S Taylor; Eric Winer; Aviva Asnis-Alibozek
Journal:  J Clin Oncol       Date:  2008-01-07       Impact factor: 44.544

Review 10.  Survival analysis part II: multivariate data analysis--an introduction to concepts and methods.

Authors:  M J Bradburn; T G Clark; S B Love; D G Altman
Journal:  Br J Cancer       Date:  2003-08-04       Impact factor: 7.640

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  90 in total

1.  Variation in the UGT2B17 genotype, exemestane metabolism and menopause-related toxicities in the CCTG MAP.3 trial.

Authors:  Vikki Ho; Romain Pasquet; Shaman Luo; Gang Chen; Paul Goss; Dongsheng Tu; Philip Lazarus; Harriet Richardson
Journal:  Breast Cancer Res Treat       Date:  2020-08-01       Impact factor: 4.872

2.  Socio-demographic and geographic variations in the utilization of hormone therapy in older women with breast cancer after Medicare Part-D coverage.

Authors:  Xin Wang; Xianglin L Du
Journal:  Med Oncol       Date:  2015-04-03       Impact factor: 3.064

3.  Effect of Adherence on Pharmacokinetic/Pharmacodynamic Relationships of Oral Targeted Anticancer Drugs.

Authors:  Evelina Cardoso; Chantal Csajka; Marie P Schneider; Nicolas Widmer
Journal:  Clin Pharmacokinet       Date:  2018-01       Impact factor: 6.447

4.  Talking About My Care: Detecting Mentions of Hormonal Therapy Adherence Behavior in an Online Breast Cancer Community.

Authors:  Zhijun Yin; Wei Xie; Bradley A Malin
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  The Effect of Atorvastatin on Breast Cancer Biomarkers in High-Risk Women.

Authors:  YongLi Ji; Tiffany Rounds; Abigail Crocker; Betsy Sussman; Russell C Hovey; Fonda Kingsley; Hyman B Muss; Judy E Garber; Marie E Wood
Journal:  Cancer Prev Res (Phila)       Date:  2016-02-23

6.  Adjuvant endocrine therapy in premenopausal women with breast cancer.

Authors:  Kunal C Kadakia; N Lynn Henry
Journal:  Clin Adv Hematol Oncol       Date:  2015-10

7.  The impact of state parity laws on copayments for and adherence to oral endocrine therapy for breast cancer.

Authors:  Alexander L Chin; Jason P Bentley; Erqi L Pollom
Journal:  Cancer       Date:  2018-12-19       Impact factor: 6.860

8.  Medication taking behaviors among breast cancer patients on adjuvant endocrine therapy.

Authors:  Gretchen Kimmick; Sara N Edmond; Hayden B Bosworth; Jeffrey Peppercorn; Paul K Marcom; Kimberly Blackwell; Francis J Keefe; Rebecca A Shelby
Journal:  Breast       Date:  2015-07-16       Impact factor: 4.380

9.  Endocrine therapy adherence: a cross-sectional study of factors affecting adherence and discontinuation of therapy.

Authors:  E M Quinn; C Fleming; M J O'Sullivan
Journal:  Ir J Med Sci       Date:  2015-05-14       Impact factor: 1.568

Review 10.  A Systematic Review of Adherence to Oral Antineoplastic Therapies.

Authors:  Joseph A Greer; Nicole Amoyal; Lauren Nisotel; Joel N Fishbein; James MacDonald; Jamie Stagl; Inga Lennes; Jennifer S Temel; Steven A Safren; William F Pirl
Journal:  Oncologist       Date:  2016-02-26
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