Effect of comorbidity and multimorbidity on adherence to follow-up recommendations among long-term breast cancer survivors

OBJECTIVES

To study the impact of comorbidities, multimorbidity, and multimorbidity clusters on adherence to recommended follow-up guidelines among long-term breast cancer survivors.

STUDY DESIGN

Retrospective cohort study based on 2078 women diagnosed with breast cancer from 2000 to 2006 and followed up from 2012 to 2016.

MAIN OUTCOME MEASURES

Adherence to breast cancer follow-up recommendations (annual medical visit and imaging) was determined. Comorbidities were classified as acute/chronic. Multimorbidity was defined as the presence of two or more chronic comorbidities aside from breast cancer. Five multimorbidity clusters were considered. Multivariate logistic regression models were fitted to determine the relationship between adherence to recommendations and the presence of comorbidities and multimorbidity, considering both sociodemographic and clinical characteristics.

RESULTS

Overall adherence to recommendations was 79.5 %. Adherence was lower among long-term breast cancer survivors with no comorbidities (75.8 %). Among multimorbidity clusters, adherence was highest in the anxiety and fractures cluster (84.3 %) and was lowest in the musculoskeletal and cardiovascular cluster (76.4 %). In adjusted multivariate models, multimorbidity was associated with higher levels of adherence (OR = 1.52 95 %CI 1.16-1.99), and adherence was highest in the metabolic and degenerative cluster (OR = 2.2 95 %CI 1.4-3.5).

CONCLUSION

Adherence to follow-up recommendations was higher among long-term breast cancer survivors with multimorbidity than among those without. Adherence also differed by multimorbidity cluster. These results suggest suboptimal adherence to the current follow-up recommendations in certain groups, suggesting the need to adapt clinical practice guidelines to reflect patients' comorbidities and different characteristics.

Using reservoir computing to construct scarred wave functions

Scar theory is one of the fundamental pillars in the field of quantum chaos, and scarred functions are a superb tool to carry out studies in it. Several methods, usually semiclassical, have been described to cope with these two phenomena. In this paper, we present an alternative method, based on the novel machine learning algorithm known as reservoir computing, to calculate such scarred wave functions together with the associated eigenstates of the system. The resulting methodology achieves outstanding accuracy while reducing execution times by a factor of ten. As an illustration of the effectiveness of this method, we apply it to the widespread chaotic two-dimensional coupled quartic oscillator.

Binding affinity predictions with hybrid quantum-classical convolutional neural networks

Central in drug design is the identification of biomolecules that uniquely and robustly bind to a target protein, while minimizing their interactions with others. Accordingly, precise binding affinity prediction, enabling the accurate selection of suitable candidates from an extensive pool of potential compounds, can greatly reduce the expenses associated to practical experimental protocols. In this respect, recent advances revealed that deep learning methods show superior performance compared to other traditional computational methods, especially with the advent of large datasets. These methods, however, are complex and very time-intensive, thus representing an important clear bottleneck for their development and practical application. In this context, the emerging realm of quantum machine learning holds promise for enhancing numerous classical machine learning algorithms. In this work, we take one step forward and present a hybrid quantum-classical convolutional neural network, which is able to reduce by 20% the complexity of the classical counterpart while still maintaining optimal performance in the predictions. Additionally, this results in a significant cost and time savings of up to 40% in the training stage, which means a substantial speed-up of the drug design process.

Taking advantage of noise in quantum reservoir computing

The biggest challenge that quantum computing and quantum machine learning are currently facing is the presence of noise in quantum devices. As a result, big efforts have been put into correcting or mitigating the induced errors. But, can these two fields benefit from noise? Surprisingly, we demonstrate that under some circumstances, quantum noise can be used to improve the performance of quantum reservoir computing, a prominent and recent quantum machine learning algorithm. Our results show that the amplitude damping noise can be beneficial to machine learning, while the depolarizing and phase damping noises should be prioritized for correction. This critical result sheds new light into the physical mechanisms underlying quantum devices, providing solid practical prescriptions for a successful implementation of quantum information processing in nowadays hardware.

Dysphagia in hospitalized patients: Prevalence, related factors and impact on aspiration pneumonia and mortality

BACKGROUND

Oropharyngeal dysphagia can be highly concerning in hospitalized patients, increasing morbidity and mortality, making its early identification essential. We aimed to characterize dysphagia and its association with aspiration pneumonia and mortality in a tertiary hospital in Barcelona, Spain.

METHODS

Using data from all hospital discharges during the period 2018-2021, we identified the characteristics of patients with dysphagia and their distribution among hospital departments through the minimum data set, which codifies patients' diagnoses according to the International Classification of Diseases 10th Revision (ICD-10). We used logistic regression models to assess the association between dysphagia, aspiration pneumonia and mortality.

RESULTS

Dysphagia was present in 2.4% of all hospital discharges and was more frequent in older patients and in men. The diagnoses most frequently associated with dysphagia were aspiration pneumonia (48.2%) and stroke (14%). Higher prevalence of dysphagia was found in the acute geriatric unit (10.3%), neurology (7.6%) and internal medicine (7.5%) wards. Dysphagia was associated with aspiration pneumonia, aOR = 8.04 (95%CI, 6.31-10.25), and independently increased the odds of death among hospitalized patients, aOR = 1.43 (95%CI, 1.19-1.73).

CONCLUSIONS

We conclude that dysphagia is a prevalent and transversal condition, increasing the risk of mortality in all patients, and efforts should be intensified to increase its early detection and correct management.

A Qualitative Exploration of Patient Safety in a Hospital Setting in Spain: Policy and Practice Recommendations on Patients’ and Companions’ Participation

INTRODUCTION

Patients' and companions' participation in healthcare could help prevent adverse events, which are a significant cause of disease and disability. Before designing interventions to increase participation, it is first necessary to identify attitudes to patient safety. This study aimed to explore patients' and companions' perceptions, attitudes and experiences of patient safety, taking into account contextual factors, such as cultural background, which are not usually captured in the literature.

METHODS

We conducted a qualitative study with a theoretical sampling of 13 inpatients and 3 companions in a university hospital in Barcelona, Spain. Information was obtained from individual and triangular interviews. A descriptive thematic content analysis was conducted by four analysts and a consensus was reached within the research team on the key categories that were identified. We also conducted a card-sorting exercise.

RESULTS

All informants emphasized the role of good communication with health professionals, a calm environment and the need for patient education. Discursive positions differed by cultural background. Informants from a Pakistani-Bangladeshi background emphasized language barriers, while those from European and Latin-American backgrounds stressed health professionals' lack of time and the need for more interdisciplinary teamwork. The card-sorting exercise identified several opportunities to enhance participation: checking patient identification and medication dispensation, and maintaining personal and environmental hygiene.

CONCLUSION

This exploration of informants' discourse on patient safety identified a wide variety of categories not usually considered from institutional perspectives. The findings of this study could enrich interventions in areas with diverse cultural backgrounds, as well as current frameworks based exclusively on institutional perspectives.

PATIENT OR PUBLIC CONTRIBUTION

The results of the study were communicated to patients and accompanying persons via telephone or email. Similarly, a focus group was held with a patient forum to comment on the results. In the design of subsequent interventions to improve patient safety at the hospital, the proposals of patients and companions for their participation will be included together with healthcare professionals' opinions.

Drug-related problems in patients admitted for SARS-CoV-2 infection during the COVID-19 pandemic

Introduction: Drug-related problems (DRP) are events or circumstances in which drug therapy does or could interfere with desired health outcomes. In December 2019, a new coronavirus, SARS-CoV-2, appeared. Little knowledge about this type of infection resulted in the administration of various drugs with limited use in other pathologies. Evidence about DRP in patients with COVID-19 is lacking. Objective: The aim of the present study is to describe identified cases of DRP and those drugs involved in the first wave of patients with COVID-19, and evaluate associated risk factors. Material and methods: Observational, retrospective study performed in a tertiary university hospital between 14th March 2020 and 31 May 2020 (corresponding to the first COVID-19 wave). We recruited patients admitted during the study period. Exclusion criteria included age < 18 years; admission to critically ill units; and care received either in the emergency room, at-home hospitalization or a healthcare center. Results: A total of 817 patients were included. The mean age was 62.5 years (SD 16.4) (range 18-97), and 453 (55.4%) were male. A total of 516 DRP were detected. Among the patients, 271 (33.2%) presented at least one DRP. The mean DRP per patient with an identified case was 1.9. The prevailing DRPs among those observed were: incorrect dosage (over or underdosage) in 145 patients (28.2%); wrong drug combination in 131 (25.5%); prescriptions not in adherence to the then COVID-19 treatment protocol in 73 (14.1%); prescription errors due to the wrong use of the computerized physician order entry in 47 (9.2%); and incorrect dosage due to renal function in 36 (7%). The logistic regression analysis showed that patients who received only prescriptions of antibacterials for systemic use (J01 ATC group) faced a higher likelihood of experiencing a DRP (OR 2.408 (1.071-5.411), p = 0.033). Conclusion: We identified several factors associated with an increased risk of DRPs, similar to those reported in other pre-pandemic studies, including a prolonged length of stay, higher number of prescribed drugs and antimicrobial administration. The relevance of pharmacists and tools like pharmacy warning systems can help prevent, identify and resolve DRP efficiently.

Cost-effectiveness Analysis of Peripherally Inserted Central Catheters Versus Central Venous Catheters for in-Hospital Parenteral Nutrition

OBJECTIVE

Our objective was to evaluate the cost-effectiveness of the use of peripherally inserted central venous catheters (PICCs) by a vascular access team (VAT) versus central venous catheters (CVCs) for in-hospital total parenteral nutrition (TPN).

METHODS

The study used a cost-effectiveness analysis based on observational data retrospectively obtained from electronic medical records from 2018 to 2019 in a teaching hospital. We included all interventional procedures requiring PICCs or CVCs with the indication of TPN. We recorded the costs of insertion, maintenance, removal, and complications. The main outcome measure was the incidence rate of catheter-associated bacteremia per 1000 catheter days. Cost-effectiveness analysis was performed from the hospital perspective within the context of the publicly funded Spanish health system. Confidence intervals for costs and effectiveness differences were calculated using bootstrap methods.

RESULTS

We analyzed 233 CVCs and 292 PICCs from patients receiving TPN. Average duration was longer for PICC (13 versus 9.4 days, P < 0.001). The main reason for complications in both groups was suspected infection (9.77% CVC versus 5.18% PICC). Complication rates due to bacteremia were 2.44% for CVC and 1.15% for PICC. The difference in the incidence of bacteremia per 1000 catheter days was 1.29 (95% confidence interval, -0.89 to 3.90). Overall, costs were lower for PICCs than for CVCs: the difference in mean overall costs was -€559.9 (95% confidence interval, -€919.9 to -€225.4). Uncertainty analysis showed 86.37% of results with lower costs and higher effectiveness for PICC versus CVC.

CONCLUSIONS

Placement of PICC by VAT compared with CVC for TPN reduces costs and may decrease the rate of bacteremia.

Optimal quantum reservoir computing for the noisy intermediate-scale quantum era

Universal fault-tolerant quantum computers require millions of qubits with low error rates. Since this technology is years ahead, noisy intermediate-scale quantum (NISQ) computation is receiving tremendous interest. In this setup, quantum reservoir computing is a relevant machine learning algorithm. Its simplicity of training and implementation allows to perform challenging computations on today's available machines. In this Letter, we provide a criterion to select optimal quantum reservoirs, requiring few and simple gates. Our findings demonstrate that they render better results than other commonly used models with significantly less gates and also provide insight on the theoretical gap between quantum reservoir computing and the theory of quantum states' complexity.

Adapting reservoir computing to solve the Schrödinger equation

Reservoir computing is a machine learning algorithm that excels at predicting the evolution of time series, in particular, dynamical systems. Moreover, it has also shown superb performance at solving partial differential equations. In this work, we adapt this methodology to integrate the time-dependent Schrödinger equation, propagating an initial wavefunction in time. Since such wavefunctions are complex-valued high-dimensional arrays, the reservoir computing formalism needs to be extended to cope with complex-valued data. Furthermore, we propose a multi-step learning strategy that avoids overfitting the training data. We illustrate the performance of our adapted reservoir computing method by application to four standard problems in molecular vibrational dynamics.

Perceptions from nurses, surgeons, and anesthetists about the use and benefits of the surgical checklist in a teaching hospital

OBJECTIVE

To assess attitudes and perceptions from nursing staff, surgeons and anesthetists about compliance, utility, and impact on patient's safety of the surgical checklist in a teaching hospital. We also aimed to identify improvement opportunities for strengthening the usefulness of the checklist in the operating theater.

METHODS

We carried out a questionnaire-based an observational cross-sectional study. A questionnaire was distributed to operating room staff, including nursing staff, surgeons, and anesthetists. In addition to the information about surgical checklist, We also collected information regarding years of experience in the operating theater. Fisher's exact was used to compare proportions in each statement. Group discussion meetings with key professionals were held to jointly assess the results, propose improvement actions, and evaluate their feasibility.

RESULTS

The overall response rate was 36.2% (131/362). Nursing staff was perceived as the most supportive group in the use of surgical checklist. A 64.3% of surgeons considered that using the checklist prevented adverse events vs 84.2% and 85.7% among anesthetists and nurses, respectively; p=0.028. Junior staff showed a supportive attitude toward the use of surgical checklist, considering it as a tool that gives them confidence. We ended up with a list of improvement actions aiming at strengthening the surgical checklist reliability and compliance.

CONCLUSIONS

The perception of the surgical checklist usefulness as a tool to prevent adverse events was moderate among surgeons, but well appreciated by junior staff. Nursing staff were especially critical regarding compliance and support by other professionals. To reinforce the usefulness perception of the surgical checklist it is needed to increase the involvement of all professionals, especially senior staff and surgical leaders.

Multimorbidity clusters among long-term breast cancer survivors in Spain: Results of the SURBCAN study

The disease management of long-term breast cancer survivors (BCS) is hampered by the scarce knowledge of multimorbidity patterns. The aim of our study was to identify multimorbidity clusters among long-term BCS and assess their impact on mortality and health services use. We conducted a retrospective study using electronic health records of 6512 BCS from Spain surviving at least 5 years. Hierarchical cluster analysis was used to identify groups of similar patients based on their chronic diagnoses, which were assessed using the Clinical Classifications Software. As a result, multimorbidity clusters were obtained, clinically defined and named according to the comorbidities with higher observed/expected prevalence ratios. Multivariable Cox and negative binomial regression models were fitted to estimate overall mortality risk and probability of contacting health services according to the clusters identified. 83.7% of BCS presented multimorbidity, essential hypertension (34.5%) and obesity and other metabolic disorders (27.4%) being the most prevalent chronic diseases at the beginning of follow-up. Five multimorbidity clusters were identified: C1-unspecific (29.9%), C2-metabolic and neurodegenerative (28.3%), C3-anxiety and fractures (9.7%), C4-musculoskeletal and cardiovascular (9.6%) and C5-thyroid disorders (5.3%). All clusters except C5-thyroid disorders were associated with higher mortality compared to BCS without comorbidities. The risk of mortality in C4 was increased by 64% (adjusted hazard ratio 1.64, 95% confidence interval 1.52-2.07). Stratified analysis showed an increased risk of death among BCS with 5 to 10 years of survival in all clusters. These results help to identify subgroups of long-term BCS with specific needs and mortality risks and to guide BCS clinical practice regarding multimorbidity.

Use of health services among long-term breast cancer survivors in Spain: longitudinal study based on real-world data

PURPOSE

This study aimed to evaluate health service utilization in Spain among long-term breast cancer survivors and to compare it with that among women with no history of breast cancer.

METHODS

Study based on the SURBCAN cohort includes a sample of long-term breast cancer survivors and a sample of women without breast cancer from 5 Spanish regions. Healthcare utilization was assessed through primary care, hospital visits, and tests during the follow-up period (2012 to 2016) by using electronic health records. Annual contact rates to healthcare services were calculated, and crude and multivariate count models were fitted to estimate the adjusted relative risk of healthcare services use.

RESULTS

Data were obtained from 19,328 women, including 6512 long-term breast cancer survivors. Healthcare use was higher among breast cancer survivors (20.9 vs 16.6; p < 0.0001) and decreased from >10 years of survival. Breast cancer survivors who underwent a mastectomy were more likely to have a primary care visit (RR = 3.10 95% CI 3.08-3.11). Five to ten years survivors were more likely to have hospital inpatient visits and imaging test compared to women without breast cancer (RRa = 1.35 95% CI 1.30-1.39 and RRa = 1.27 95% CI 1.25-1.29 respectively).

CONCLUSION

This study shows higher use of health services in long-term breast cancer survivors than in women without breast cancer regardless of survival time.

IMPLICATIONS FOR CANCER SURVIVORS

These results help to estimate the health resources needed for the growing group of breast cancer survivors and to identify risk factors that drive higher use of health services.

Developing and validating an individualized breast cancer risk prediction model for women attending breast cancer screening

BACKGROUND

Several studies have proposed personalized strategies based on women's individual breast cancer risk to improve the effectiveness of breast cancer screening. We designed and internally validated an individualized risk prediction model for women eligible for mammography screening.

METHODS

Retrospective cohort study of 121,969 women aged 50 to 69 years, screened at the long-standing population-based screening program in Spain between 1995 and 2015 and followed up until 2017. We used partly conditional Cox proportional hazards regression to estimate the adjusted hazard ratios (aHR) and individual risks for age, family history of breast cancer, previous benign breast disease, and previous mammographic features. We internally validated our model with the expected-to-observed ratio and the area under the receiver operating characteristic curve.

RESULTS

During a mean follow-up of 7.5 years, 2,058 women were diagnosed with breast cancer. All three risk factors were strongly associated with breast cancer risk, with the highest risk being found among women with family history of breast cancer (aHR: 1.67), a proliferative benign breast disease (aHR: 3.02) and previous calcifications (aHR: 2.52). The model was well calibrated overall (expected-to-observed ratio ranging from 0.99 at 2 years to 1.02 at 20 years) but slightly overestimated the risk in women with proliferative benign breast disease. The area under the receiver operating characteristic curve ranged from 58.7% to 64.7%, depending of the time horizon selected.

CONCLUSIONS

We developed a risk prediction model to estimate the short- and long-term risk of breast cancer in women eligible for mammography screening using information routinely reported at screening participation. The model could help to guiding individualized screening strategies aimed at improving the risk-benefit balance of mammography screening programs.

Factors that Influence Treatment Delay for Patients with Breast Cancer

INTRODUCTION

The diagnosis or treatment of breast cancer is sometimes delayed. A lengthy delay may have a negative psychological impact on patients. The aim of our study was to evaluate the sociodemographic, clinical and pathological factors associated with delay in the provision of surgical treatment for localised breast cancer, in a prospective cohort of patients.

METHODS

This observational, prospective, multicentre study was conducted in ten hospitals belonging to the Spanish national public health system, located in four Autonomous Communities (regions). The study included 1236 patients, diagnosed through a screening programme or found to be symptomatic, between April 2013 and May 2015. The study variables analysed included each patient's personal history, care situation, tumour history and data on the surgical intervention, pathological anatomy, hospital admission and follow-up. Treatment delay was defined as more than 30 days elapsed between biopsy and surgery.

RESULTS

Over half of the study population experienced surgical treatment delay. This delay was greater for patients with no formal education and among widows, persons not requiring assistance for usual activities, those experiencing anxiety or depression, those who had a high BMI or an above-average number of comorbidities, those who were symptomatic, who did not receive NMR spectroscopy, who presented a histology other than infiltrating ductal carcinoma or who had poorly differentiated carcinomas.

CONCLUSIONS

Certain sociodemographic and clinical variables are associated with surgical treatment delay. This study identifies factors that influence surgical delays, highlighting the importance of preventing these factors and of raising awareness among the population at risk and among health personnel.

Readmissions and complications in breast ductal carcinoma in situ: A retrospective study comparing screen- and non-screen-detected patients

Objective:

Population-wide mammographic screening programs aim to reduce breast cancer mortality. However, a broad view of the harms and benefits of these programs is necessary to favor informed decisions, especially in the earliest stages of the disease. Here, we compare the outcomes of patients diagnosed with breast ductal carcinoma in situ in participants and non-participants of a population-based mammographic screening program.

Methods:

A retrospective cohort study of all patients diagnosed with breast ductal carcinoma in situ between 2000 and 2010 within a single hospital. A total of 211 patients were included, and the median follow-up was 8.4 years. The effect of detection mode (screen-detected and non-screen-detected) on breast cancer recurrences, readmissions, and complications was evaluated through multivariate logistic regression analysis.

Results:

In the majority of women, breast ductal carcinoma in situ was screen-detected (63.5%). Screen-detected breast ductal carcinoma in situ was smaller in size compared to those non-screen-detected (57.53% < 20 mm versus 78.03%, p = 0.002). Overall, breast-conserving surgery was the most frequent surgery (86.26%); however, mastectomy was higher in non-screen-detected breast ductal carcinoma in situ (20.78% versus 9.7%, p = 0.024). Readmissions for mastectomy were more frequent in non-screen-detected breast ductal carcinoma in situ. Psychological complications, such as fatigue, anxiety, and depression, had a prevalence of 15% within our cohort. Risk of readmissions and complications was higher within the non-screen-detected group, as evidenced by an odds ratio = 6.25 (95% confidence interval = 1.95–19.99) for readmissions and an odds ratio = 2.41 (95% confidence interval = 1.95–4.86) for complications.

Conclusions:

Our findings indicate that women with breast ductal carcinoma in situ breast cancer diagnosed through population-based breast cancer screening program experience a lower risk of readmissions and complications than those diagnosed outside these programs. These findings can help aid women and health professionals make informed decisions regarding screening.

Use of real-world data to study health services utilisation and comorbidities in long-term breast cancer survivors (the SURBCAN study): study protocol for a longitudinal population-based cohort study

INTRODUCTION

Breast cancer has become a chronic disease due to survival improvement and the need to monitor the side effects of treatment and the disease itself. The aim of the SURBCAN study is to describe comorbidity, healthcare services use and adherence to preventive recommendations in long-term breast cancer survivors and to compare them with those in women without this diagnosis in order to improve and adapt the care response to this group of survivors.

METHODS AND ANALYSIS

Population-based retrospective cohort study using real-world data from cancer registries and linked electronic medical records in five Spanish regions. Long-term breast cancer survivors diagnosed between 2000 and 2006 will be identified and matched by age and administrative health area with women without this diagnosis. Sociodemographic and clinical variables including comorbidities and variables on the use of health services between 2012 and 2016 will be obtained from databases in primary and hospital care. Health services use will be assessed through the annual number of visits to primary care professionals and to specialists and through annual imaging and laboratory tests. Factors associated with healthcare utilisation and comorbidities will be analysed using multilevel logistic regression models. Recruitment started in December 2018.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of Parc de Salut Mar. The results of the study will be published in a peer-reviewed journal and will be presented at national and international scientific conferences and at patient associations.

TRIAL REGISTRATION NUMBER

This protocol is registered in Clinical Trials.gov (identifier: NCT03846999).

Impact of comorbidity on the short- and medium-term risk of revision in total hip and knee arthroplasty

Background

The impact of comorbidity on the risk of revision in patients undergoing Total Knee arthroplasty (TKA) and Total Hip Arthroplasty (THA) is not currently well known. The aim of this study was to analyze the impact of comorbidity on the risk of revision in TKA and THA.

Methods

Patients recorded in the Catalan Arthroplasty Register (RACat) between 01/01/2005 and 31/12/2016 undergoing TKA (n = 49,701) and THA (n = 17,923) caused by osteoarthritis were included. As main explanatory factors, comorbidity burden was assessed by the Elixhauser index, categorized, and specific comorbidities from the index were taken into account. Descriptive analyses for comorbidity burden and specific conditions were done. Additionally, incidence at 1 and 5 years’ follow-up was calculated, and adjusted Competing Risks models were fitted.

Results

A higher incidence of revision was observed when the number of comorbidities was high, both at 1 and 5 years for THA, but only at 1 year for TKA. Of the specific conditions, only obesity was related to the incidence of revision at 1 year in both joints, and at 5 years in TKA. The risk of revision was related to deficiency anemia and liver diseases in TKA, while in THA, it was related to peripheral vascular disorders, metastatic cancer and psychoses.

Conclusions

Different conditions, depending on the joint, might be related to higher revision rates. This information could be relevant for clinical decision-making, patient-specific information and improving the results of both TKA and THA.

Tumour characteristics and survivorship in a cohort of breast cancer: the MCC-Spain study

Purpose

The objective of this study is to analyse the relative survival with breast cancer in women diagnosed after new treatments were generalised and to ascertain the current effect that tumour characteristics such as grade, stage or subtype have on survival as well as the new AJCC-pathological prognostic score.

Methods

The breast cancer MCC-Spain follow-up study is a prospective cohort study of 1685 incident breast cancer cases. Women between 20 and 85 years old were recruited between the years 2008 and 2013 in 18 hospitals located in 10 Spanish provinces and they have been followed until 2017/2018. Relative survival was estimated after 3, 5 and 8 years of follow-up using Ederer II method. In addition, Weibull regression adjusted by age, hospital, grade and stage was used to investigate prognosis factors.

Results

Among components of TNM staging system, tumour size greater than 50 mm (i.e. T3 or T4) more than doubled the risk of dying, while N3 nodal involvement and presence of metastasis had a huge effect on mortality. The AJCC pathological prognostic score strongly correlated with survival; thus, hazard ratios increased as the score rose, being 2.31, 4.00, 4.94, 7.92, 2.26, 14.9 and 58.9 for scores IB, IIA, IIB, IIIA, IIIB, IIIC and IV, respectively.

Conclusion

Both TNM staging and histological/molecular biomarkers are associated with overall survival in Spanish women with breast cancer; when both are combined in the AJCC pathological prognosis score, the prognostic value improved with risk indices that increased rapidly as the pathological prognosis score increased

Electronic supplementary material

The online version of this article (10.1007/s10549-020-05600-x) contains supplementary material, which is available to authorised users.

Personalized breast cancer screening strategies: A systematic review and quality assessment

BACKGROUND

The effectiveness of breast cancer screening is still under debate. Our objective was to systematically review studies assessing personalized breast cancer screening strategies based on women's individual risk and to conduct a risk of bias assessment.

METHODS

We followed the standard methods of The Cochrane Collaboration and PRISMA declaration and searched the MEDLINE, EMBASE and Clinical Trials databases for studies published in English. The quality of the studies was assessed using the ISPOR-AMCP-NPC Questionnaire and The Cochrane Risk of Bias Tool. Two independent reviewers screened full texts and evaluated the risk of bias.

RESULTS

Out of the 1533 initially retrieved citations, we included 13 studies. Three studies were randomized controlled trials, while nine were mathematical modeling studies, and one was an observational pilot study. The trials are in the recruitment phase and have not yet reported their results. All three trials used breast density and age to define risk groups, and two of them included family history, previous biopsies, and genetic information. Among the mathematical modeling studies, the main risk factors used to define risk groups were breast density, age, family history, and previous biopsies. Six studies used genetic information to define risk groups. The most common outcome measures were the gain in quality-adjusted life years (QALY), absolute costs, and incremental cost-effectiveness ratio (ICER), while the main outcome in the observational study was the detection rate. In all models, personalized screening strategies were shown to be effective. The randomized trials were of good quality. The modeling studies showed moderate risk of bias but there was wide variability across studies. The observational study showed a low risk of bias but its utility was moderate due to its pilot design and its relatively small scale.

CONCLUSIONS

There is some evidence of the effectiveness of screening personalization in terms of QUALYs and ICER from the modeling studies and the observational study. However, evidence is lacking on feasibility and acceptance by the target population.

REVIEW REGISTRATION

PROSPERO: CRD42018110483.

Factors associated with readmissions in women participating in screening programs and treated for breast cancer: a retrospective cohort study

Background

We aimed to identify the risk factors associated with early, late and long-term readmissions in women diagnosed with breast cancer participating in screening programs.

Methods

We performed a multicenter cohort study of 1055 women aged 50–69 years participating in Spanish screening programs, diagnosed with breast cancer between 2000 and 2009, and followed up to 2014. Readmission was defined as a hospital admission related to the disease and/or treatment complications, and was classified as early (< 30 days), late (30 days-1 year), or long-term readmission (> 1 year). We used logistic regression to estimate the adjusted odds ratios (aOR), and 95% confidence intervals (95% CI) to explore the factors associated with early, late and long-term readmissions, adjusting by women’s and tumor characteristics, detection mode, treatments received, and surgical and medical complications.

Results

Among the women included, early readmission occurred in 76 (7.2%), late readmission in 87 (8.2%), long-term readmission in 71 (6.7%), and no readmission in 821 (77.8%). Surgical complications were associated with an increased risk of early readmissions (aOR = 3.62; 95%CI: 1.27–10.29), and medical complications with late readmissions (aOR = 8.72; 95%CI: 2.83–26.86) and long-term readmissions (aOR = 4.79; 95%CI: 1.41–16.31).

Conclusion

Our results suggest that the presence of surgical or medical complications increases readmission risk, taking into account the detection mode and treatments received. Identifying early complications related to an increased risk of readmission could be useful to adapt the management of patients and reduce further readmissions.

Trial Registration

ClinicalTrials.govIdentifier: NCT03165006. Registration date: May 22, 2017 (Retrospectively registered).

External validation of the PREDICT tool in Spanish women with breast cancer participating in population-based screening programmes

RATIONALE, AIMS, AND OBJECTIVES

To externally validate the PREDICT tool in a cohort of women participating in a population-based breast cancer screening programme who were diagnosed with breast cancer between 2000 and 2008 in Spain.

METHODS

A total of 535 women were included in the validation study. We calculated predicted 5-year survival using the beta values from the development of the PREDICT model and predicted and observed events for a given risk groups. Model fit, discrimination, and calibration were evaluated. Seeking to improve the model, we also explored the impact on discrimination of the inclusion of additional variables, not in the PREDICT algorithm.

RESULTS

In patients who were oestrogen receptor (ER) positive (negative), PREDICT overestimated (underestimated) the 5-year overall survival in all the subgroups studied. Analysis of model performance showed good calibration but modest discrimination (C-index, 0.697 [ER negative] and 0.768 [ER positive]). When updating the model, no additional variables were found to be significant in ER-negative patients, but for ER-positive patients, concurrent liver disease was a significant factor, its inclusion improving model discrimination (C-index, 0.817).

CONCLUSIONS

The PREDICT tool does not discriminate well in our population considering only the variables of the original algorithm. More accurate tools are needed to obtain a better discrimination.

Impact of adjuvant chemotherapy on the survival of patients with breast cancer diagnosed by screening

The aim of this study is to determine the survival of patients with breast cancer treated with adjuvant chemotherapy (ACh) after the diagnosis by screening, taking comorbidity into account. This multicenter cohort study examined a population of patients taking part in four national screening programs for the early detection of breast cancer (localized or locally advanced), during the period 2000‐2008. Of the 1248 cancers detected, 266 were prevalent (21.3%), 633 were incident (50.7%), and 349 were interval (27.9%). No significant differences were detected between the three groups in terms of the distribution of comorbidity according to the CCI. After a median follow‐up of 102 months, 22.1% of the patients with interval cancer had died. The corresponding figures for the incident and prevalent cancers were 10.4% and 7.9%, respectively (P < .001). The adjusted Cox regression analysis by the stage, CCI and group revealed no differences in the risk of recurrence between the different groups according to the ACh performed. However, there were significant differences in the overall survival; for the interval cancer group without ACh, the risk of death was higher (Hazard ratio: 2.5 [1.0‐6.2]) than for the other two groups. However, for the prevalent and incident groups that did not receive ACh, there was no greater risk of death. This study shows that adjuvant chemotherapy seems to benefit patients with interval breast cancer, who have a poorer prognosis than those with prevalent or incident cancer. However, the role of ACh is unclear with respect to prevalent and incident cancers when comorbidity is taken into account.

Cost-Effectiveness of the Screening for the Primary Prevention of Fragility Hip Fracture in Spain Using FRAX®

To assess the cost-effectiveness of the primary prevention of fragility hip fractures through opportunistic risk-based screening using FRAX^® among women aged 70 to 89 years, and the subsequent treatment with alendronate in women at high-risk, from the Spanish national health system perspective. We performed a discrete-event simulation model. Women were categorized in low, intermediate and high-risk of fragility hip fracture through screening based on the FRAX^® risk assessment tool score (Spanish version). Low-risk women received lifestyle recommendations whereas the high-risk group was assigned to alendronate treatment. For women at intermediate-risk, treatment decision was based on a recalculated score considering bone mineral density (BMD). The cost-effectiveness analysis tested six scenarios defined by different FRAX^® cut-off values assessing the incremental costs per averted fracture in 20 years. Deterministic sensitivity analysis was performed. We included a random sample of 5146 women obtained from a Spanish cohort of women referred for BMD. The most cost-effective intervention had an Incremental Cost-effectiveness Ratio (ICER) of 57,390 € per averted hip fracture and consisted of using the FRAX^® score without BMD and treating women with a score higher than 5%. The ICER exceeded the acceptability threshold of 25,000 € in all the scenarios. Sensitivity analysis based on time to fracture, treatment efficacy, adherence to treatment and cost of dependence resulted in ICERs ranging from 39,216 € to 254,400 €. An ICER of 24,970 € was obtained when alendronate cost was reduced to 1.13 € per month. The use of FRAX^® as screening tool followed by alendronate treatment is not cost-effective in senior women in Spain. Other primary preventions strategies are advisable.

Evaluation of the effectiveness of hip and knee implant models used in Catalonia: a protocol for a prospective registry-based study

BACKGROUND

Monitoring results regarding the effectiveness of knee and hip arthroplasties may be useful at the clinical, economic and patient level and help reduce the number of prosthesis revisions. In Spain, and specifically in Catalonia, there is currently no systematic monitoring of the different prosthesis models available on the market. Within this context, the aim of the project presented in this protocol is to evaluate the short- and medium-term effectiveness of knee and hip models implanted in Catalonia and to identify where the results could be better or worse than expected.

METHODS

A prospective observational design will be drawn up based on data from a population-based arthroplasty register for hip and knee replacements that includes data from 53 of the 61 public hospitals in Catalonia. The knee and hip prosthesis models used will be identified and classified according to the type of prosthesis, fixation and, in total hip replacements, the bearing surface. For the data analysis, two methodological approaches will be used sequentially: first, an approach based on a survival analysis, followed by an approach based on standardised revision ratios and funnel plots. Following the analyses, a panel of experts will evaluate the results to identify possible sources of bias. Lastly, those models with results better or worse than expected compared to those from the comparison group will be valued, and strengths and difficulties for routine implementation of this methodology within the Catalan Arthroplasty Register will be identified.

DISCUSSION

The study presented in this protocol will allow us to identify the hip and knee prosthesis models whose results might be better or worse than expected. This information could have a potential impact at the patient, orthopaedic surgeon, healthcare manager, decision-making and industry levels, both in the short term and in the medium and long term.

Survival and Disease-Free Survival by Breast Density and Phenotype in Interval Breast Cancers

Background: We aimed to evaluate survival and disease-free survival in different subtypes of interval cancers by breast density, taking into account clinical and biological characteristics.Methods: We included 374 invasive breast tumors (195 screen-detected cancers; 179 interval cancers, classified into true interval, false-negatives, occult tumors and minimal-sign cancers) diagnosed in women ages 50-69 years undergoing biennial screening from 2000-2009, followed up to 2014. Breast density was categorized into non-dense (<25% dense tissue) and mixed dense breasts (≥25%). Survival curves were generated by the Kaplan-Meier method and compared by the log-rank test. Cox proportional hazard regression models were computed to estimate the adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) for death and recurrences by comparing women with interval and true interval cancers versus women with screen-detected cancers, controlling for tumor and patient characteristics. All analyses were stratified by breast density.Results: Interval cancers were detected in younger women, at more advanced stages, in denser breasts and showed a higher proportion of triple-negative cancers, especially among true interval cancers. Women with interval cancer and non-dense breasts had an aHR for death of 3.40 (95% CI, 0.92-12.62). Women with true interval cancers detected in non-dense breasts had the highest adjusted risk of death (aHR, 6.55; 95% CI, 1.37-31.39).Conclusions: Women with true interval cancer in non-dense breasts had a higher risk of death than women with screen-detected cancers.Impact: These results support the advisability of routinely collecting information on breast density, both for further tailoring of screening strategies and as a prognostic factor for diagnosed breast cancers. Cancer Epidemiol Biomarkers Prev; 27(8); 908-16. ©2018 AACR.

Biomarkers expression in benign breast diseases and risk of subsequent breast cancer: a case-control study

Women with benign breast diseases (BBD) have a high risk of breast cancer. However, no biomarkers have been clearly established to predict cancer in these women. Our aim was to explore whether estrogen receptor (ER), progesterone receptor (PR), and Ki67 expression stratify risk of breast cancer in screened women with BBD. We conducted a nested case-control study. Women with breast cancer and prior BBDs (86 cases) were matched to women with prior BBDs who were free from breast cancer (172 controls). The matching factors were age at BBD diagnosis, type of BBD, and follow-up time since BBD diagnosis. ER, PR, and Ki67 expression were obtained from BBDs' specimens. Conditional logistic regression was used to estimate odds ratios (ORs), and 95% confidence intervals (CIs) of breast cancer risk according to ER, PR, and Ki67 expression. Women with >90% of ER expression had a higher risk of breast cancer (OR = 2.63; 95% CI: 1.26-5.51) than women with ≤70% of ER expression. Similarly, women with >80% of PR expression had a higher risk of breast cancer (OR = 2.22; 95% CI: 1.15-4.27) than women with ≤40% of PR expression. Women with proliferative disease and ≥1% of Ki67 expression had a nonsignificantly increased risk of breast cancer (OR = 1.16; 95% CI: 0.46-2.90) than women with <1% of Ki67 expression. A high expression of ER and PR in BBD is associated with an increased risk of subsequent breast cancer. In proliferative disease, high Ki67 expression may also have an increased risk. This information is helpful to better characterize BBD and is one more step toward personalizing the clinical management of these women.

A decade of the Catalonian Arthroplasty Register (RACat): Variability, exhaustivity, and survival of prostheses between 2005 and 2014

BACKGROUND AND AIM

The Catalonian Arthroplasty Register (RACat) is a public health-based population register used to analyse and evaluate hip and knee replacements in Catalonia. The aim of this study is to present the outcomes after 10 years in operation (January 2005-December 2014).

METHODOLOGY

Using the information from the RACat and the minimum basic data set at hospital discharge, an analysis was made of the quality and exhaustivity of the data, as well as a descriptive analysis of the patients, prostheses, and care process. Survival was also analysed by calculating the accumulated incidence of revisions (according to the cause of intervention in hip replacements and conservation or sacrifice of the posterior cruciate ligament in knee replacement). The relationship between revision risk and the fixation technique of the prosthesis is also analysed, using competitive risk models adjusted for gender, age, and comorbidities.

RESULTS

The main reason for the primary hip and knee replacement surgery was arthrosis. The accumulated incidence of revisions at 10 years was 3.9% in hip replacements caused by arthrosis, and 2.3% in those caused by fracture. Conservation of the posterior cruciate ligament was achieved in 4.4% of knee replacements, with sacrifice in 5.1%.

DISCUSSION

The RACat is consolidated as a tool for the evaluation of joint replacements, with great potential in the analysis of medium and long-term efficacy, the study of the variability in clinical practice, and post-marketing surveillance.

Primary total hip arthroplasty in Catalonia: What is the clinical evidence that supports our prosthesis?

INTRODUCTION

The implementation of National Prostheses Registries allows us to obtain a large amount of data and make conclusions in order to improve the use of them. Sweden was the first country to implement a National Prostheses Registry in 1979. Catalonia has been doing this since 2005. The aim of our study is to analyse the evidence that supports primary total hip replacement in Catalonia in the last 9 years, based on the Arthroplasty Registry of Catalonia (RACat).

MATERIAL AND METHODS

A review of the literature was carried out of the prosthesis (acetabular cups/stems) reported in the RACat between the period 2005 to 2013 in the following databases: ODEP (Orthopaedic Data Evaluation Panel), TRIP database, PubMed, and Google Scholar. Those prostheses implanted in less than 10 units (182 acetabular components corresponding to 49 models/228 stems corresponding to 63 models) were excluded.

RESULTS

A total of 18,634 (99%) implanted acetabular cups were analysed out of a total number of 18,816, corresponding to 74 different models. In 18 models (2527 acetabular cups) no clinical evidence to support its use was found. An analysis was performed on 19,367 (98.84%) out of a total number of 19,595 implanted stems, corresponding to 75 different models. In 16 models (1845 stems) no clinical evidence was found to support their use. Variable evidence was found in the 56 models of acetabular cups (16,107) and 59 models of stems (17,522), most of it corresponding to level iv clinical evidence.

CONCLUSIONS

There was a significant number implanted prostheses evaluated (13.56% acetabular cups/9.5% stems) for which no clinical evidence was found. The elevated number of models is highlighted (49 types for acetabular cups/63 types for stems) with less than 10 units implanted, which corresponds to only 1% of the total implants. The use of arthroplasty registers is shown to be an extremely helpful tool that allows analyses and conclusions to be made for the follow-up and post-marketing surveillance period.

[Use of the Smartphone to Promote Healthy Habits among Teen-agers, Spain]

OBJECTIVE

The PEGASO Project aims to design a technological system aimed at European adolescents to promote healthy lifestyles. The objective was to explore teenagers and their parents and teachers perceptions with regards to mobile technology use in promoting a healthier lifestyle, in terms of food and physical activity.

METHODS

Qualitative study based on primary data obtained through four focus groups analysis (three teenager groups between 13 and 15 y and 1 parent/teacher group). Verbatim transcriptions have been analysed following content analysis perspective.

RESULTS

Four different categories were identified: 1: social and cultural context, 2: adolescents and health, 3: role of technology in teenagers' lives and 4: use of technology to acquire healthier habits. Each category helped to arise various subcategories linked to the relation between teens and health: holistic health concept, health/disease perception directly related with feeling physically fit and social acceptance. With regards to technology, the arisen themes were: feeling connected with others, importance of entertainment/games, omnipresent use of Smartphones and risk of excessive dependence on technology. The difference between teens and adults with regards to health and technology categories were not significant.

CONCLUSIONS

Both teens and adults think that for technology to be effective in acquiring healthier habits it has to help teens to improve and maintain their self-esteem, in an entertaining way and using their own communication codes, mainly audio-visual ones, always under the umbrella of a holistic and integrated perception of health.

Prevalence of persistent pain after breast cancer treatment by detection mode among participants in population-based screening programs

Background

To date, the study of the risks and benefits of breast cancer screening has not included the onset of persistent pain after breast cancer treatment within the context of population-based screening programs. Our purpose was to investigate the prevalence of persistent pain and associated factors in women diagnosed with breast cancer (screening or interval) in the context of a population-based breast cancer screening program in Spain.

Methods

A total of 1,057 women participating in a population-based breast cancer screening program were diagnosed with breast cancer between 2000 and 2008. The women were treated surgically and followed-up to 2013. The risk of developing persistent pain was estimated through multivariate logistic regression analysis.

Results

Breast cancer was detected during routine screening in 732 women (69.3 %) and emerged as an interval cancer between two screening rounds in 325 (30.7 %). Persistent pain was present in 118 women (11.3 %). Women diagnosed through routine screening reported a higher prevalence of persistent pain (12.9 %) than those with interval cancers (7.8 %)(P < 0.05). Multivariate logistic regression analysis identified two other variables associated with persistent pain: having a Charlson index > =2 (Odds Ratio [OR]: 4.5 95 % Confidence Interval [CI]: 2.1-9.5) versus no comorbidities, and having undergone an axillary lymph node dissection (OR: 2.0 95 % CI: 1.0-4.0) versus sentinel lymph node biopsy.

Conclusions

The prevalence of persistent pain was relatively low. The detection mode was not related to the onset of persistent pain. The factors associated with persistent pain were a Charlson index > =2 and the performance of axillary lymph node dissection. Women treated for breast cancer are at risk for developing persistent pain regardless of the detection mode, especially those with comorbidities and those who have undergone axillary lymph node dissection.

Cross-national comparison of screening mammography accuracy measures in U.S., Norway, and Spain

OBJECTIVE

To compare accuracy measures for mammographic screening in Norway, Spain, and the US.

METHODS

Information from women aged 50-69 years who underwent mammographic screening 1996-2009 in the US (898,418 women), Norway (527,464), and Spain (517,317) was included. Screen-detected cancer, interval cancer, and the false-positive rates, sensitivity, specificity, positive predictive value (PPV) for recalls (PPV-1), PPV for biopsies (PPV-2), 1/PPV-1 and 1/PPV-2 were computed for each country. Analyses were stratified by age, screening history, time since last screening, calendar year, and mammography modality.

RESULTS

The rate of screen-detected cancers was 4.5, 5.5, and 4.0 per 1000 screening exams in the US, Norway, and Spain respectively. The highest sensitivity and lowest specificity were reported in the US (83.1 % and 91.3 %, respectively), followed by Spain (79.0 % and 96.2 %) and Norway (75.5 % and 97.1 %). In Norway, Spain and the US, PPV-1 was 16.4 %, 9.8 %, and 4.9 %, and PPV-2 was 39.4 %, 38.9 %, and 25.9 %, respectively. The number of women needed to recall to detect one cancer was 20.3, 6.1, and 10.2 in the US, Norway, and Spain, respectively.

CONCLUSIONS

Differences were found across countries, suggesting that opportunistic screening may translate into higher sensitivity at the cost of lower specificity and PPV.

KEY POINTS

• Positive predictive value is higher in population-based screening programmes in Spain and Norway. • Opportunistic mammography screening in the US has lower positive predictive value. • Screening settings in the US translate into higher sensitivity and lower specificity. • The clinical burden may be higher for women screened opportunistically.

Breast cancer risk after diagnosis by screening mammography of nonproliferative or proliferative benign breast disease: a study from a population-based screening program

Benign breast disease increases the risk of breast cancer. This association has scarcely been evaluated in the context of breast cancer screening programs although it is a prevalent finding in mammography screening. We assessed the association of distinct categories of benign breast disease and subsequent risk of breast cancer, as well as the influence of a family history of breast cancer. A retrospective cohort study was conducted in 545,171 women aged 50-69 years biennially screened for breast cancer in Spain. The median of follow-up was 6.1 years. The age-adjusted rate ratio (RR) of breast cancer for women with benign breast disease, histologically classified into nonproliferative and proliferative disease with and without atypia, compared with women without benign breast disease was estimated by Poisson regression analysis. A stratified analysis by family history of breast cancer was performed in a subsample. All tests were two-sided. The age-adjusted RR of breast cancer after diagnosis of benign breast disease was 2.51 (95 % CI: 2.14-2.93) compared with women without benign breast disease. The risk was higher in women with proliferative disease with atypia (RR = 4.56, 95 % CI: 2.06-10.07) followed by those with proliferative disease without atypia (RR = 3.58; 95 % CI = 2.61-4.91). Women with nonproliferative disease and without a family history of breast cancer remained also at increased risk of cancer (OR = 2.23, 95 % CI: 1.86-2.68). An increased risk of breast cancer was observed among screening participants with proliferative or nonproliferative benign breast disease, regardless of a family history of breast cancer. This information may be useful to explore risk-based screening strategies.

Does digital mammography suppose an advance in early diagnosis? Trends in performance indicators 6 years after digitalization

Purpose

To provide a complete evaluation of the long-term impact of full-field digital mammography (FFDM) on the improvement of early diagnosis in a population-based screening program.

Methods

We included 82,961 screen-film mammograms (SFM) and 79,031 FFDM from women aged 50–69 screened biennially from 1995–2010 in Spain and followed-up to 2012. The first screening round of the program was excluded. Rates of cancer detection, interval cancer, tumoral characteristics and other quality indicators were compared between SFM and FFDM periods using the Chi-square test. Multivariate logistic regression models were fitted.

Results

Detection of ductal carcinoma in situ (DCIS) significantly increased with FFDM (0.05 % vs 0.09 %; p = 0.010), along with the proportion of small invasive cancers (<20 mm) (69.37 % vs 78.90 %; p = 0.040). The false-positive rate decreased with FFDM (4.79 % vs 3.38 %; p < 0.001) without differences in the cancer detection rate (0.42 % vs 0.43 %; p = 0.685) or in the interval cancer rate (0.14 % vs 0.14 %; p = 0.816). Adjusted models showed a significant increase in the detection of DCIS in the FFDM periods.

Conclusion

Digitalization has supposed an improvement in early diagnosis because DCIS and small invasive cancers increased without a change in detection rate. Moreover, false-positive reduction without an increase in the interval cancer rate was confirmed.

Key Points

• Cancer detection did not increase after 6 years of digital mammography

• Ductal carcinoma in situ rates remained higher throughout the digital period

• The proportion of small invasive cancers was higher with digital mammography

• We observed an improvement in early diagnosis with digital mammography

• False-positive rates remained lower throughout the digital period without interval cancer increase

Cost-effectiveness and harm-benefit analyses of risk-based screening strategies for breast cancer

The one-size-fits-all paradigm in organized screening of breast cancer is shifting towards a personalized approach. The present study has two objectives: 1) To perform an economic evaluation and to assess the harm-benefit ratios of screening strategies that vary in their intensity and interval ages based on breast cancer risk; and 2) To estimate the gain in terms of cost and harm reductions using risk-based screening with respect to the usual practice. We used a probabilistic model and input data from Spanish population registries and screening programs, as well as from clinical studies, to estimate the benefit, harm, and costs over time of 2,624 screening strategies, uniform or risk-based. We defined four risk groups, low, moderate-low, moderate-high and high, based on breast density, family history of breast cancer and personal history of breast biopsy. The risk-based strategies were obtained combining the exam periodicity (annual, biennial, triennial and quinquennial), the starting ages (40, 45 and 50 years) and the ending ages (69 and 74 years) in the four risk groups. Incremental cost-effectiveness and harm-benefit ratios were used to select the optimal strategies. Compared to risk-based strategies, the uniform ones result in a much lower benefit for a specific cost. Reductions close to 10% in costs and higher than 20% in false-positive results and overdiagnosed cases were obtained for risk-based strategies. Optimal screening is characterized by quinquennial or triennial periodicities for the low or moderate risk-groups and annual periodicity for the high-risk group. Risk-based strategies can reduce harm and costs. It is necessary to develop accurate measures of individual risk and to work on how to implement risk-based screening strategies.

Tumor phenotype and breast density in distinct categories of interval cancer: results of population-based mammography screening in Spain

INTRODUCTION

Interval cancers are tumors arising after a negative screening episode and before the next screening invitation. They can be classified into true interval cancers, false-negatives, minimal-sign cancers, and occult tumors based on mammographic findings in screening and diagnostic mammograms. This study aimed to describe tumor-related characteristics and the association of breast density and tumor phenotype within four interval cancer categories.

METHODS

We included 2,245 invasive tumors (1,297 screening-detected and 948 interval cancers) diagnosed from 2000 to 2009 among 645,764 women aged 45 to 69 who underwent biennial screening in Spain. Interval cancers were classified by a semi-informed retrospective review into true interval cancers (n = 455), false-negatives (n = 224), minimal-sign (n = 166), and occult tumors (n = 103). Breast density was evaluated using Boyd's scale and was conflated into: <25%; 25 to 50%; 50 to 75%; >75%. Tumor-related information was obtained from cancer registries and clinical records. Tumor phenotype was defined as follows: luminal A: ER+/HER2- or PR+/HER2-; luminal B: ER+/HER2+ or PR+/HER2+; HER2: ER-/PR-/HER2+; triple-negative: ER-/PR-/HER2-. The association of tumor phenotype and breast density was assessed using a multinomial logistic regression model. Adjusted odds ratios (OR) and 95% confidence intervals (95% CI) were calculated. All statistical tests were two-sided.

RESULTS

Forty-eight percent of interval cancers were true interval cancers and 23.6% false-negatives. True interval cancers were associated with HER2 and triple-negative phenotypes (OR = 1.91 (95% CI:1.22-2.96), OR = 2.07 (95% CI:1.42-3.01), respectively) and extremely dense breasts (>75%) (OR = 1.67 (95% CI:1.08-2.56)). However, among true interval cancers a higher proportion of triple-negative tumors was observed in predominantly fatty breasts (<25%) than in denser breasts (28.7%, 21.4%, 11.3% and 14.3%, respectively; <0.001). False-negatives and occult tumors had similar phenotypic characteristics to screening-detected cancers, extreme breast density being strongly associated with occult tumors (OR = 6.23 (95% CI:2.65-14.66)). Minimal-sign cancers were biologically close to true interval cancers but showed no association with breast density.

CONCLUSIONS

Our findings revealed that both the distribution of tumor phenotype and breast density play specific and independent roles in each category of interval cancer. Further research is needed to understand the biological basis of the overrepresentation of triple-negative phenotype among predominantly fatty breasts in true interval cancers.

Living arrangements in four Asian countries: a comparative perspective

The findings of the 4 preceding country studies are examined here from a comparative perspective identifying some of the similarities and differences that underlie living arrangements of the elderly. More specifically, we compare the normative basis underlying living arrangements, mechanisms that help perpetuate co-residence, strains inherent to co-residence, preferences for co-residents, alternative forms of living arrangements, and views of social changes in relation to living arrangements. Overall, the focus group data on which the studies are based highlight the importance of culture in influencing the living arrangements of elderly people in Asia. The results suggest that at least for the next generation, co-residential living by elderly with children will continue to be a viable option, although the extent to which it persists is likely to vary among the 4 countries studied.

Gene expression profiling in true interval breast cancer reveals overactivation of the mTOR signaling pathway

BACKGROUND

The development and progression of true interval breast cancers (tumors that truly appear after a negative screening mammogram) is known to be different from screen-detected cancers. However, the worse clinical behavior of true interval cancers is not fully understood from a biologic basis. We described the differential patterns of gene expression through microarray analysis in true interval and screen-detected cancers.

METHODS

An unsupervised exploratory gene expression profile analysis was performed on 10 samples (true interval cancers = 5; screen-detected cancers = 5) using Affymetrix Human Gene 1.0ST arrays and interpreted by Ingenuity Pathway Analysis. Differential expression of selected genes was confirmed in a validation series of 91 tumors (n = 12; n = 79) by immunohistochemistry and in 24 tumors (n = 8; n = 16) by reverse transcription quantitative PCR (RT-qPCR), in true interval and screen-detected cancers, respectively.

RESULTS

Exploratory gene expression analysis identified 1,060 differentially expressed genes (unadjusted P < 0.05) between study groups. On the basis of biologic implications, four genes were further validated: ceruloplasmin (CP) and ribosomal protein S6 kinase, 70 kDa, polypeptide 2 (RPS6KB2), both upregulated in true interval cancers; and phosphatase and tensin homolog (PTEN) and transforming growth factor beta receptor III (TGFBR3), downregulated in true interval cancers. Their differential expression was confirmed by RT-qPCR and immunohistochemistry, consistent with mTOR pathway overexpression in true interval cancers.

CONCLUSIONS

True interval and screen-detected cancers show differential expression profile both at gene and protein levels. The mTOR signaling is significantly upregulated in true interval cancers, suggesting this pathway may mediate their aggressiveness.

IMPACT

Linking epidemiologic factors and mTOR activation may be the basis for future personalized screening strategies in women at risk of true interval cancers.

Seventeen-years overview of breast cancer inside and outside screening in Denmark

BACKGROUND

Long-term data on breast cancer detection in mammography screening programs are warranted to better understand the mechanisms by which screening changes the breast cancer pattern in the population. We aimed to analyze 17 years of breast cancer detection rates inside and outside screening in two Danish regions, emphasizing the influence of organizational differences of screening programs on the outcomes.

MATERIAL AND METHODS

We used data from two long-standing population-based mammography screening programs, Copenhagen and Fyn, in Denmark. Both programs offered biennial screening to women aged 50-69 years. We identified targeted, eligible, invited and participating women. We calculated screening detection and interval cancer rates for participants, and breast cancer incidence in non-screened women (= targeted women excluding participants) by biennial invitation rounds. Tumor characteristics were tabulated for each of the three groups of cancers.

RESULTS

Start of screening resulted in a prevalence peak in participants, followed by a decrease to a fairly stable detection rate in subsequent invitation rounds. A similar pattern was found for breast cancer incidence in non-screened women. In Fyn, non-screened women even had a higher rate than screening participants during the first three invitation rounds. The interval cancer rate was lower in Copenhagen than in Fyn, with an increase over time in Copenhagen, but not in Fyn. Screen-detected cancers showed tumor features related with a better prognosis than tumors detected otherwise, as more than 80% were smaller than 20 mm and estrogen receptor positive.

CONCLUSION

Data from two long-standing population-based screening programs in Denmark illustrated that even if background breast cancer incidence and organization were rather similar, performance indicators of screening could be strongly influenced by inclusion criteria and participation rates. Detection rates should be interpreted with caution as they may be biased by selection into the screening population.

Detection methods predict differences in biology and survival in breast cancer patients

BACKGROUND

The aim of this study was to measure the biological characteristics involved in tumorigenesis and the progression of breast cancer in symptomatic and screen-detected carcinomas to identify possible differences.

METHODS

For this purpose, we evaluated clinical-pathological parameters and proliferative and apoptotic activities in a series of 130 symptomatic and 161 screen-detected tumors.

RESULTS

After adjustment for the smaller size of the screen-detected carcinomas compared with symptomatic cancers, those detected in the screening program presented longer disease-free survival (RR = 0.43, CI = 0.19-0.96) and had high estrogen and progesterone receptor concentrations more often than did symptomatic cancers (OR = 3.38, CI = 1.72-6.63 and OR = 3.44, CI = 1.94-6.10, respectively). Furthermore, the expression of bcl-2, a marker of good prognosis in breast cancer, was higher and HER2/neu expression was lower in screen-detected cancers than in symptomatic cancers (OR = 1.77, CI = 1.01-3.23 and OR = 0.64, CI = 0.40-0.98, respectively). However, when comparing prevalent vs incident screen-detected carcinomas, prevalent tumors were larger (OR = 2.84, CI = 1.05-7.69), were less likely to be HER2/neu positive (OR = 0.22, CI = 0.08-0.61) and presented lower Ki67 expression (OR = 0.36, CI = 0.17-0.77). In addition, incident tumors presented a shorter survival time than did prevalent ones (RR = 4.88, CI = 1.12-21.19).

CONCLUSIONS

Incident carcinomas include a variety of screen-detected carcinomas that exhibit differences in biology and prognosis relative to prevalent carcinomas. The detection method is important and should be taken into account when making therapy decisions.