Construction of the secondary care administrative records frailty (SCARF) index and validation on older women with operable invasive breast cancer in England and Wales:a cohort study

OBJECTIVES: Studies that use national datasets to evaluate the management of older women with breast cancer are often constrained by a lack of information on patient fitness. This study constructed a frailty index for use with secondary care administrative records and evaluated its ability to improve models of treatment patterns and overall survival in women with breast cancer. DESIGN: Retrospective cohort study. PARTICIPANTS: Women aged ≥50 years with oestrogen receptor (ER) positive early invasive breast cancer diagnosed between 2014 and 2017 in England. METHODS: The secondary care administrative records frailty (SCARF) index was based on the cumulative deficit model of frailty, using International Statistical Classification of Diseases, Injuries and Causes of Death, 10th revision codes to define a set of deficits. The index was applied to administrative records that were linked to national cancer registry datasets. The ability of the SCARF index to improve the performance of regression models to explain observed variation in the rate of surgery and overall survival was evaluated using Harrell's c-statistic and decision curve analysis. External validation was performed on a dataset of similar women diagnosed in Wales. RESULTS: The SCARF index captured 32 deficits that cover functional impairment, geriatric syndromes, problems with nutrition, cognition and mood, and medical comorbidities. In the English dataset (n=67 925), the prevalence of frailty in women aged 50-69, 70-79 and ≥80 years was 15%, 28% and 47%, respectively. Adding a frailty measure to regression models containing age, tumour characteristics and comorbidity improved their ability to: (1) discriminate between whether a woman was likely to have surgery and (2) predict overall survival. Similar results were obtained when the models were applied to the Welsh cohort (n=4 230). CONCLUSION: The SCARF index provides a simple and consistent method to identify frailty in population level data and could help describe differences in breast cancer treatments and outcomes

The influence of age, comorbidity and frailty on treatment with surgery and systemic therapy in older women with operable triple negative breast cancer (TNBC) in England: A population-based cohort study.

BACKGROUND: Surgery and chemotherapy use were studied among older women with early stage triple negative breast cancer (TNBC) in a population-based cohort. METHODS: Women aged ≥50 years with unilateral early (stage 1-3a) TNBC diagnosed in 2014-2017 were identified from English cancer registration data. Information on surgery and chemotherapy was from linked Hospital Episode Statistics and Systemic Anti-Cancer Therapy datasets, respectively. Logistic regression was used to investigate the influences of patient age, comorbidity and frailty on uptake of surgery and chemotherapy. RESULTS: There were 7094 women with early stage TNBC. Overall rate of surgery was 94%, which only decreased among women aged ≥85 years (74%) and among the most frail. Among the 6681 women receiving surgery, 16% had neoadjuvant and 42% had adjuvant chemotherapy; the use of both decreased with age. More comorbidities and greater frailty were associated with lower rates of chemotherapy. There were differences in the uptake of chemotherapy across geographical regions and in the neoadjuvant and adjuvant chemotherapy regimens between age groups. CONCLUSION: Majority of older women with early TNBC had surgery, although some physically fit older women did not. Chemotherapy use varied by age and fitness

Mastectomy patterns among older women with early invasive breast cancer in England and Wales: A population-based cohort study.

INTRODUCTION: Older women with early invasive breast cancer (EIBC) are more likely to receive a mastectomy compared with younger women. This study assessed factors associated with receiving a mastectomy among older women with EIBC, with a particular focus on comorbidity and frailty. MATERIALS AND METHODS: Women diagnosed with EIBC (stages I-IIIa) aged ≥50 years from 2014 to 2019 in English and Welsh NHS organisations who received breast surgery were identified from cancer registration datasets linked to routine hospital data. Separate multivariable logistic regression models explored factors associated with mastectomy use, within each tumour stage (T1-T3). For each tumour stage, risk-adjusted rates of mastectomy were calculated for each NHS organisation and displayed using funnel plots. RESULTS: We included 106,952 women with EIBC: 23.4% received a mastectomy as their first breast cancer surgery. Receipt of mastectomy was more common among patients with a higher tumour stage (T1: 12.3%; T2: 37.6%; T3: 77.5%), and mastectomy use increased with age within each tumour stage category (50-59 vs 80 + years: 11.8% vs 26.3% for T1; 31.5% vs 56.9% for T2; 73.4% vs 90.3% for T3). Results from a multivariable regression model showed that more severe frailty was associated with mastectomy use for women with T1 (p = 0.002) or T2 (p = 0.003) tumours, but may not be for women with T3 tumours (p = 0.041). There was no association between comorbidity and mastectomy use after accounting for frailty (all p > 0.1). Adjusting for clinical and patient factors only slightly reduced the association between age and mastectomy use. Variation in mastectomy use between NHS organisations was greatest for women with T2 EIBC (unadjusted range: 17.7% to 68.4%). DISCUSSION: Older women with EIBC are more commonly treated with mastectomy. This could not be explained by tumour characteristics or physical fitness, raising questions about whether surgical decision-making inconsistently incorporates information on patient fitness and functional age

Adding new experimental arms to randomised clinical trials: Impact on error rates.

BACKGROUND: Experimental treatments pass through various stages of development. If a treatment passes through early-phase experiments, the investigators may want to assess it in a late-phase randomised controlled trial. An efficient way to do this is adding it as a new research arm to an ongoing trial while the existing research arms continue, a so-called multi-arm platform trial. The familywise type I error rate is often a key quantity of interest in any multi-arm platform trial. We set out to clarify how it should be calculated when new arms are added to a trial some time after it has started. METHODS: We show how the familywise type I error rate, any-pair and all-pairs powers can be calculated when a new arm is added to a platform trial. We extend the Dunnett probability and derive analytical formulae for the correlation between the test statistics of the existing pairwise comparison and that of the newly added arm. We also verify our analytical derivation via simulations. RESULTS: Our results indicate that the familywise type I error rate depends on the shared control arm information (i.e. individuals in continuous and binary outcomes and primary outcome events in time-to-event outcomes) from the common control arm patients and the allocation ratio. The familywise type I error rate is driven more by the number of pairwise comparisons and the corresponding (pairwise) type I error rates than by the timing of the addition of the new arms. The familywise type I error rate can be estimated using Šidák's correction if the correlation between the test statistics of pairwise comparisons is less than 0.30. CONCLUSIONS: The findings we present in this article can be used to design trials with pre-planned deferred arms or to add new pairwise comparisons within an ongoing platform trial where control of the pairwise error rate or familywise type I error rate (for a subset of pairwise comparisons) is required

Concordance of cancer drug therapy information derived from routinely collected hospital admissions data and the Systemic Anti-Cancer Therapy (SACT) dataset, for older women diagnosed with early invasive breast cancer in England.

BACKGROUND: Evaluating uptake of oncological treatments, and subsequent outcomes, depends on data sources containing accurate and complete information about cancer drug therapy (CDT). This study aimed to evaluate the consistency of CDT information in the Hospital Episode Statistics Admitted Patient Care (HES-APC) and Systemic Anti-Cancer Therapy (SACT) datasets for early invasive breast cancer (EIBC). METHODS: The study included women (50 + years) diagnosed with EIBC in England from 2014 to 2019 who had surgery within six months of diagnosis. Concordance of CDT recorded in HES-APC (identified using OPCS codes) and SACT was evaluated at both patient-level and cycle-level. Factors associated with CDT use captured only in HES-APC were assessed using statistical models. RESULTS: The cohort contained 129,326 women with EIBC. Overall concordance between SACT and HES-APC on CDT use was 94 %. Concordance increased over the study period (91-96 %), and there was wide variation across NHS trusts (lowest decile of trusts had concordance≤77 %; highest decile≥99 %). Among women receiving CDT, 9 % (n = 2781/31693) of use was not captured in SACT; incompleteness was worst (18 %=47/259) among women aged 80 + and those diagnosed in 2014 (21%=1121/5401). OPCS codes in HES-APC were good at identifying patient-level and cycle-level use of trastuzumab or FEC chemotherapy (fluorouracil, epirubicin, cyclophosphamide), with 89 % and 93 % concordance with SACT respectively (patient-level agreement). Among cycles of solely oral CDT recorded in SACT, only 24 % were captured in HES-APC, compared to 71 % for intravenous/subcutaneous CDT. CONCLUSIONS: Combining information in HES-APC and SACT provides a more complete picture of CDT treatment in women aged 50 + receiving surgery for EIBC than using either data source alone. HES-APC may have particular value in identifying CDT use among older women, those diagnosed less recently, and in NHS trusts with low SACT data returns

Evidence into practice: a national cohort study of NICE-recommended oncological drug therapy utilisation among women diagnosed with invasive breast cancer in England.

BACKGROUND: Multiple drug treatments are approved for invasive breast cancer (IBC). We investigated uptake of NICE-recommended oncological drugs and variation by age, comorbidity burden and geographical region. METHODS: Women (aged 50+ years) diagnosed with IBC from 2014 to 2019, were identified from England Cancer Registry data and drug utilisation from Systemic Anti-Cancer Therapy data. Interrupted time series analysis assessed national-level changes in drug use after publication of NICE recommendations. Regression models analysed variation in use. RESULTS: This national cohort included 168,449 women. Use of drugs recommended for first-line treatment varied, from 26.6% for CDK 4/6 inhibitors to 63.8% for HER2-targeting therapies. Utilisation of drugs with a NICE recommendation published between 2014 and 2019, increased among patients diagnosed around the time of publication, except in the case of pertuzumab for metastatic breast cancer (MBC) which was previously accessible via the Cancer Drugs Fund (though use of pertuzumab for MBC increased from 34.1% to 75.0% across the study period). Use of trastuzumab and neoadjuvant/adjuvant pertuzumab varied by geographical region. Use was low for ribociclib (2.2%), abemaciclib (2.3%) and for drugs recommended beyond the first-line setting. For all drugs, use after NICE recommendation varied by age at diagnosis and increased as stage increased. CONCLUSIONS: Use of NICE-recommended drugs for IBC in routine care is variable, with lowest use among women aged 70+ years. Improving access to effective treatments is an important step in improving outcomes

Surgery and adjuvant radiotherapy for unilateral ductal carcinoma in situ (DCIS) in women aged over 70 years: A population based cohort study.

BACKGROUND: There is little clinical evidence to guide treatment decisions for ductal carcinoma in situ (DCIS) in older women. This study evaluated how the management of DCIS in women aged 70 or more compared with women aged 50-69 in England and Wales. METHOD: The study identified women aged ≥50 years with new unilateral DCIS diagnosed between 2014 and 2016 from linked cancer registration and routine hospital datasets for England and Wales. Rates of surgery and adjuvant radiotherapy were examined by age, deprivation, fitness measures (comorbidity and frailty), method of presentation and tumour grade using multilevel logistic regression. RESULTS: 12,716 women were diagnosed with unilateral DCIS between 2014 and 2016, of whom 2,754 (22%) were aged ≥70 years and 74% were screen detected. High grade DCIS was common, irrespective of age and method of presentation. Fewer women aged ≥70 had surgery compared to women aged 50-69 (81% vs. 94%), which was only partly explained by poor fitness. Use of radiotherapy following breast conserving surgery was strongly associated with grade, and was received by less than 16% of all patients with low grade tumours. Over 70% of women aged 50-69 with high grade DCIS received radiotherapy, but this fell to 35% among women aged ≥80. Use of radiotherapy was not associated with patient fitness. CONCLUSION: Treatment decisions for women with DCIS varied by age at diagnosis. Lower rates of surgery and adjuvant radiotherapy in older women were only partly explained by patient fitness. Better evidence is needed to aid treatment selection for older women with DCIS

Costs of Early Invasive Breast Cancer in England Using National Patient-Level Data.

OBJECTIVES: This study aimed to use patient-level data to provide up-to-date estimates of early invasive breast cancer care costs by stage in England and to explore to what extent these costs varied based on patients' ages and geographic regions. METHODS: This study identified women aged 50 years and older who had been diagnosed with early invasive breast cancer between January 1, 2014, and December 31, 2015, using linked cancer registrations and routine hospital data sets generated from the usual care for all National Health Service trusts in England. Cost estimates were derived from hospital records in Hospital Episodes Statistics with additional chemotherapy and radiotherapy information from the national data sets. We fitted general linear regression models to analyze the cost data. The model that best fit the data was selected using the model selection criteria of Akaike information criterion. RESULTS: 55 662 women with early invasive breast cancer in England were included. The generalized linear model with log-gamma distribution fit the data best. The costs of breast cancer care for 1 year after diagnosis were strongly dependent on stage at diagnosis, controlling for other covariates. The estimated average per-patient hospital-related costs were £5167 at stage I, £7613 at stage II, and £13 330 at stage IIIA. Costs decreased with increasing age (P < .001) and varied across region (P < .001), deprivation level (P < .001), referral source (P < .01), presence of comorbidities (P< .001), and tumor receptor (ER/PR/HER2) status (P < .001). CONCLUSIONS: In England, the costs of breast cancer care increased with advancing stage of the disease at diagnosis. Breast cancer costs varied by age and geographic region