Citations

Abstract Background/Aims In shared decision-making conversations, patients with or at risk of osteoporosis and their clinicians collaborate to decide which drug treatments fit best for each person. The Perceptions and Practicalities Approach (PAPA) specifies three core considerations of drug uptake and commitment: 1) patient’s perceived personal need for treatment (necessity beliefs). 2) patient concerns about the potential adverse consequences of drugs (e.g. side effects). 3) practical difficulties (e.g. limitations in capacity and resources). This study aims to explore how discussions about perceptions and practicalities of osteoporosis drug treatment arise and evolve in the context of clinical consultations about osteoporosis. Methods Secondary analysis of 38 video-recorded primary care consultations from a Mayo Clinic trial evaluating the Osteoporosis Choice Decision Aid. Video-recorded consultations included ‘usual care’ (n = 24) and decision aid (n = 14). Patient participants were aged 50 and over with osteopenia or osteoporosis not already receiving drug treatment. A quantitative coding scheme, informed by the PAPA, was developed to extract: i) how clinicians framed the ‘problem’ of osteoporosis, including: bone density results, fracture risk, physical impact, social impact, or psychological impact of fracture. ii) whether clinicians asked about the patients’ views of osteoporosis, patients own bone health, and the necessity, concerns, or practical issues associated with osteoporosis drugs. iii) whether clinicians personalised discussions about osteoporosis drugs to patients perceived: importance or need, side effects or harms, or practical issues. Two independent study team members dual extracted data, with a third member resolving discrepancies. Extracted data was summarised using descriptive statistics. Results Commonly, clinicians framed osteoporosis using the patient’s bone density results (n = 38,100%) and fracture risk (n = 30,79%). In contrast, few clinicians acknowledged the potential physical impacts of fracture (n = 5,13%), with no clinicians discussing the possible psychological or social impacts. Clinicians asked 24 questions to elicit patient views in 16 of the 38 encounters (42%, range 0-4 questions per consult). The 24 questions concerned patient views about osteoporosis (n = 1,4%), their bone health (n = 5,21%), or the necessity (n = 1,4%), concerns (n = 2,8%), or practical issues associated with osteoporosis drugs (n = 2,8%). Importantly, 14 consultations (37%) contained no questions to elicit patient views. Across the 38 consultations, clinicians personalised information about the patient’s need for osteoporosis drugs in 15 consultations (39%), with less personalisation about the side effects/harms (n = 10,26%), or practical issues (n = 6,16%) associated with osteoporosis drugs. Conclusion Clinical consultations rarely considered key personal determinants of osteoporosis drug uptake and commitment. Even when clinicians used an osteoporosis decision aid, few discussions specifically elicited or addressed patients’ personal treatment necessity beliefs, concerns and practical difficulties. Additionally, clinicians seldom acknowledged the potential physical and psychosocial impacts of osteoporosis. The findings demonstrate the need for multicomponent interventions, incorporating the PAPA-based approach, to facilitate shared decision-making that takes account of patient perceptions and practicalities. Disclosure A.W. Hawarden: Grants/research support; AH is funded by a Versus Arthritis Clinical Doctoral Fellowship (grant reference 227260). L. Bullock: None. M. León-García: Grants/research support; ML-G had financial support from the Spanish Health Institute Carlos III (ISCIII) co-funded by the European Regional Development Fund (Grant number: F18/00014).. S.A. Hartasanchez: None. I. Hargraves: None. R. Horne: None. A. Maraboto: None. M. Kunneman: Grants/research support; MK had financial support from the Dutch Research Council (NWO) and The Netherlands Organisation for Health Research and Development (ZonMw) (#016.196.138). C. Jinks: Grants/research support; CJ is part funded by NIHR Applied Research Collaboration (ARC) West Midlands. Z. Paskins: Grants/research support; ZP is funded by the National Institute for Health Research (NIHR) [Clinician Scientist Award (CS-2018-18-ST2-010)/NIHR Academy].

Abstract Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. We aimed to assess the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Analyses were based on 82,701 women diagnosed with invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations of treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR(95%CI): 0.66 (0.55–0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR(95%CI) :1.30 (1.09–1.56)]. In conclusion, systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk. (Main MS: 3201 words)

Abstract Background Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and death. The use of low-molecular-weight heparin (LMWH), despite being the standard of care to prevent VTE, comes with some challenges. Shared decision-making (SDM) interventions are recommended to support patients and clinicians in making preference-sensitive decisions. The quality of the SDM process has been widely assessed with the decisional conflict scale (DCS). Our aim is to report participants’ perspectives of each of the components of an SDM intervention (DASH-TOP) in relation to the different subscales of the DCS. Methods Design: A convergent, parallel, mixed-methods design. Participants: The sample consisted of 22 health care professionals, students of an Applied Clinical Research in Health Sciences (ICACS) master program. Intervention: We randomly divided the participants in three groups: Group 1 received one component (evidence -based information), Group 2 received two components (first component and value elicitation exercises), and Group 3 received all three components (the first two and a decision analysis recommendation) of the SDM intervention. Analysis: For the quantitative strand, we used a non-parametric test to analyze the differences in the DCS subscales between the three groups. For the qualitative strand, we conducted a content analysis using the decisional conflict domains to deductively categorize the responses. Results Groups that received more intervention components experienced less conflict and better decision-making quality, although the differences between groups were not statistically significant. The decision analysis recommendation improved the efficacy with the decision-making process, however there are some challenges when implementing it in clinical practice. The uncertainty subscale showed a high decisional conflict for all three groups; contributing factors included low certainty of the evidence-based information provided and a perceived small effect of the drug to reduce the risk of a VTE event. Conclusions The DASH-TOP intervention reduced decisional conflict in the decision -making process, with decision analysis being the most effective component to improve the quality of the decision. There is a need for more implementation research to improve the delivery of SDM interventions in the clinical encounter.

Introduction: Initial clinical manifestations of transthyretin amyloidosis (ATTR) are not well understood, making timely diagnosis challenging. Methods: Patients aged ≥68 years newly diagnosed with ATTR were identified using Medicare Research Identifiable Files. Symptom manifestation and healthcare utilization were measured during 3 years pre-diagnosis; demographics and comorbidity index during 1-year pre-diagnosis. Controls (ATTR-free) were matched 1:1 to patients with ATTR based on age, sex and region; same index date and enrollment as match. Results: We identified 552 matched ATTR-control pairs: mean age 78.3 (standard deviation 6.3) and 64.5% male. Among patients with ATTR (vs controls), cardiovascular conditions (92.9 vs 75.9%) and hospitalization (54.0 vs 35.5%) were frequent during 3 years pre-diagnosis. Conclusion: Patients with ATTR have multiple symptoms and hospitalizations pre-diagnosis, recognition of which may facilitate earlier diagnosis and treatment.

Abstract Background: Venous thromboembolism (VTE) in pregnancy is an important cause of maternal morbidity and mortality. Low-molecular-weight heparin (LMWH) is the cornerstone of prophylaxis and treatment of thrombotic events during pregnancy. LMWH has fewer adverse effects than other anticoagulants, does not cross the placenta, and is safe for the fetus. However, the use of LMWH during pregnancy is sensitive to womens’ underlying preferences. The objective of this review is to systematically assess women’s values and preferences research evidence on this topic.Methods: We searched four electronic databases from inception to March 2022, and included studies examining values and preferences of using LMWH among pregnant women at risk of VTE. We followed a convergent integrated mixed-methods design to compare and contrast quantitative (utility and non-utility measures) and qualitative findings. We assessed the certainty of the values and preferences evidence with the GRADE approach for quantitative findings, and with GRADE-CERqual for qualitative evidence. Results were presented in a conjoint display.Results: We screened 3,393 references and identified seven eligible studies. The mixed methods analysis resulted in four themes. Datasets confirmed each other in that: 1) the majority of women consider that benefits of treatment outweigh the inconveniences of daily injections; and 2) main concerns around medication are safety and injections administration. Quantitative outcomes expanded on the qualitative findings in that: 3) participants who perceived a higher risk of VTE were more willing to take LMWH. Finally, we found a discrepancy between the datasets around: 4) the amount of information preferred to make the decision; however, qualitative data expanded to clarify that women prefer making informed decisions and receive support from their clinician in their decision-making process.Conclusions: We are moderately confident that in the context of pregnancy, using LMWH is preferred by women given its net beneficial balance. Integrating data from different sources of evidence, and representing them in a jointly manner helps to identify patient’s values and preferences. Our results may inform clinical practice guidelines and support shared decision-making process in the clinical encounter for the management of VTE in the context of pregnancy.

AbstractBackgroundReproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear.MethodsAnalyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2–like, HER2-enriched–like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided.ResultsCompared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2–like, and HER2-enriched–like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like.ConclusionsThis large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.

Abstract Introduction: Incorporation of mammographic density to breast cancer risk models could improve risk stratification to tailor screening and prevention strategies according to risk. However, robust validation of such models in prospective cohort studies is needed to determine their accuracy in identifying women at different risk levels. Methods: We incorporated Breast Imaging and Reporting Data System (BI-RADS) breast density to a literature-based model with questionnaire-based risk factors and a 313-variant polygenic risk score (PRS). The Individualized Coherent Absolute Risk Estimator (iCARE) tool was used to build and validate a 5-year absolute risk model for breast cancer. The model was evaluated for calibration and discrimination in three prospective cohorts of women of European ancestry (1,468 cases, 19,104 controls): US-based Nurses’ Health Study (NHS I and II) and Mayo Mammography Health Study (MMHS); and Sweden-based Karolinska Mammography Project for Risk Prediction of Breast Cancer (KARMA) study. Analyses were done separately for women younger (NHS II, KARMA) and older than 50 years (NHS I, MMHS, KARMA). Improvements in risk stratification were assessed among US non-Hispanic White women aged 50-70 years. Results: For women younger than 50 years, the model with questionnaire-based risk factors, PRS and BI-RADS was well calibrated across risk deciles in NHS II, but overestimated risk at the highest risk decile in KARMA. For women 50 years or older, the model showed good calibration in all studies, with evidence of slight overestimation at the highest risk decile and underestimation at the lowest risk decile. The model with PRS and BI-RADS was well calibrated for women at high-risk in both age groups. Incorporation of BI-RADS to questionnaire-based risk factors and PRS improved risk discrimination: area under the curves (AUC) 67.0% (95% CI: 63.5-70.6%) vs. 65.6% (95% CI: 61.9-69.3%) for models with and without BI-RADS for younger women and 66.1% (95% CI 64.4-67.8%) vs. 65.5% (95% CI: 63.8-67.2%) for older women. The model with BI-RADS identified 18.4% population of non-Hispanic US women 50-70 years old above 3% 5-year risk (used for recommending risk-reducing medication in the US), with 42.4% of future cases expected to occur in this group. Addition of BI-RADS led to the reclassification of ~8.0% of US non-Hispanic White women aged 50-70 years at the high-risk threshold (3% 5-year risk), resulting in identification of 4.2% of additional future cases. Conclusion: Integrating BI-RADS with questionnaire-based risk factors and PRS resulted in improved risk stratification among women of European ancestry, with evidence of slight overestimation of risk for women at elevated risk. Additional validation of the integrated model in diverse populations is needed prior to considering clinical applications. Citation Format: Charlotta V. Mulder, Yon Ho Jee, Xin Yang, Christopher G. Scott, Chi Gao, Amber N. Hurson, Mikael Eriksson, Per Hall, Peter Kraft, Celine M. Vachon, Antonis C. Antoniou, Gretchen Gierach, Montserrat Garcia-Closas, Parichoy Pal Choudhury. Validation of an integrated breast cancer risk model with mammographic density in three prospective cohort studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2256.

Genome-wide association studies (GWAS) have identified more than 200 susceptibility loci for breast cancer, but these variants explain less than a fifth of the disease risk. Although gene–environment interactions have been proposed to account for some of the remaining heritability, few studies have empirically assessed this. We obtained genotype and risk factor data from 46,060 cases and 47,929 controls of European ancestry from population-based studies within the Breast Cancer Association Consortium (BCAC). We built gene expression prediction models for 4,864 genes with a significant (P < 0.01) heritable component using the transcriptome and genotype data from the Genotype-Tissue Expression (GTEx) project. We leveraged predicted gene expression information to investigate the interactions between gene-centric genetic variation and 14 established risk factors in association with breast cancer risk, using a mixed-effects score test. After adjusting for number of tests using Bonferroni correction, no interaction remained statistically significant. The strongest interaction observed was between the predicted expression of the C13orf45 gene and age at first full-term pregnancy (PGXE = 4.44 × 10−6). In this transcriptome-informed genome-wide gene–environment interaction study of breast cancer, we found no strong support for the role of gene expression in modifying the associations between established risk factors and breast cancer risk. Our study suggests a limited role of gene–environment interactions in breast cancer risk.

Abstract Cirrhosis, highly prevalent worldwide, develops after years of hepatic inflammation triggering progressive fibrosis. Currently, the main etiologies of cirrhosis are non‐alcoholic fatty liver disease and alcohol‐related liver disease, although chronic hepatitis B and C infections are still major etiological factors in some areas of the world. Recent studies have shown that liver fibrosis can be assessed with relatively high accuracy noninvasively by serological tests, transient elastography, and radiological methods. These modalities may be utilized for screening for liver fibrosis in at‐risk populations. Thus far, a limited number of population‐based studies using noninvasive tests in different areas of the world indicate that a significant percentage of subjects without known liver disease (around 5% in general populations and a higher rate −18% to 27%‐in populations with risk factors for liver disease) have significant undetected liver fibrosis or established cirrhosis. Larger international studies are required to show the harms and benefits before concluding that screening for liver fibrosis should be applied to populations at risk for chronic liver diseases. Screening for liver fibrosis has the potential for changing the current approach from diagnosing chronic liver diseases late when patients have already developed complications of cirrhosis to diagnosing liver fibrosis in asymptomatic subjects providing the opportunity of preventing disease progression.