Impact of biomarkers and primary tumor location on the metastatic colorectal cancer first-line treatment landscape in five European countries.

Background: Advances in therapies for patients with metastatic colorectal cancer (mCRC) and improved understanding of prognostic and predictive factors have impacted treatment decisions. Materials & methods: This study used a large oncology database to investigate patterns of monoclonal antibody (mAb) plus chemotherapy treatment in France, Germany, Italy, Spain and the UK in mCRC patients treated in first line in 2018. Results: Anti-EGFR mAbs were most often administered to patients with RAS wild-type mCRC and those with left-sided tumors, while anti-VEGF mAbs were preferred in RAS mutant and right-sided tumors. Adopted treatment strategies differed between countries, largely due to reimbursement. Conclusion: Biomarker status and primary tumor location steered treatment decisions in first line. Adopted treatment strategies differed between participating countries.

Lay abstract Each patient's cancer is unique. For example, colon cancer on the left side is different from colon cancer on the right side. Colon cancer is different from cancer of the rectum. Cancers also have changes in their genes, which means some treatments should work, while others may not. Doctors can select among different medicines to find the drug that works best for each patient. We looked at patients with cancer of the colon or rectum that has spread to other organs. We tried to find out how doctors in Europe select drugs for their patients after performing tests called RAS or BRAF. We found that doctors make different choices in different countries.

Biomarker testing and mutation prevalence in metastatic colorectal cancer patients in five European countries using a large oncology database.

Background: The literature on biomarker testing for metastatic colorectal cancer (mCRC) in Europe is scarce. This study aimed to estimate the percentage of mCRC patients from five European countries tested for biomarkers over time. Materials & methods: An oncology database was retrospectively analyzed; evaluated biomarkers were RAS, BRAF and microsatellite instability (MSI). The patients were drug treated during 2018 and tested for relevant biomarkers in 2013-2018. Results: RAS testing was conducted in >90% of mCRC patients from 2014 onwards. BRAF testing increased from 31% of mCRC patients in 2013 to 67% in 2018. MSI testing increased from 10 to 41%. There was no notable trend over time for RAS and BRAF mutation or MSI-high prevalence. Conclusion: Biomarker testing among patients diagnosed with mCRC was increased over time. This study demonstrates the quick uptake of biomarker testing in clinical practice. These findings are significant as biomarker-based drugs are becoming more common.

Lay abstract Each patient's cancer is unique. To find the best medicine for each patient, doctors perform tests to look at the cancer's genes. It is unknown how often and how well these tests are done. We tried to find this out for patients with cancer of the bowel or rectum that has spread to other organs. We found that an important genetic test called RAS is done in most patients. Other tests, called BRAF and microsatellite instability, are also conducted increasingly frequently. This is important because the results of such tests allow doctors to decide which drug(s) should be the most effective depending on the patient's cancer genes.

Real-world reproducibility study characterizing patients newly diagnosed with multiple myeloma using Clinical Practice Research Datalink, a UK-based electronic health records database.

PURPOSE: We evaluated the reproducibility of a study characterizing newly-diagnosed multiple myeloma (MM) patients within an electronic health records (EHR) database using different analytic tools. METHODS: We reproduced the findings of a descriptive cohort study using an iterative two-phase approach. In Phase I, a common protocol and statistical analysis plan (SAP) were implemented by independent investigators using the Aetion Evidence Platform® (AEP), a rapid-cycle analytics tool, and SAS statistical software as a gold standard for statistical analyses. Using the UK Clinical Practice Research Datalink (CPRD) dataset, the study included patients newly diagnosed with MM within primary care setting and assessed baseline demographics, conditions, drug exposure, and laboratory procedures. Phase II incorporated analysis revisions based on our initial comparison of the Phase I findings. Reproducibility of findings was evaluate by calculating the match rate and absolute difference in prevalence between the SAS and AEP study results. RESULTS: Phase I yielded slightly discrepant results, prompting amendments to SAP to add more clarity to operational decisions. After detailed specification of data and operational choices, exact concordance was achieved for the number of eligible patients (N = 2646), demographics, comorbidities (i.e., osteopenia, osteoporosis, cardiovascular disease [CVD], and hypertension), bone pain, skeletal-related events, drug exposure, and laboratory investigations in the Phase II analyses. CONCLUSIONS: In this reproducibility study, a rapid-cycle analytics tool and traditional statistical software achieved near-exact findings after detailed specification of data and operational choices. Transparency and communication of the study design, operational and analytical choices between independent investigators were critical to achieve this reproducibility.

Acute Exposure to Terrestrial Trunked Radio (TETRA) has effects on the electroencephalogram and electrocardiogram, consistent with vagal nerve stimulation.

BACKGROUND: Terrestrial Trunked Radio (TETRA) is a telecommunications system widely used by police and emergency services around the world. The Stewart Report on mobile telephony and health raised questions about possible health effects associated with TETRA signals. This study investigates possible effects of TETRA signals on the electroencephalogram and electrocardiogram in human volunteers. METHODS: Blinded randomized provocation study with a standardized TETRA signal or sham exposure. In the first of two experiments, police officers had a TETRA set placed first against the left temple and then the upper-left quadrant of the chest and the electroencephalogram was recorded during rest and active cognitive processing. In the second experiment, volunteers were subject to chest exposure of TETRA whilst their electroencephalogram and heart rate variability derived from the electrocardiogram were recorded. RESULTS: In the first experiment, we found that exposure to TETRA had consistent neurophysiological effects on the electroencephalogram, but only during chest exposure, in a pattern suggestive of vagal nerve stimulation. In the second experiment, we observed changes in heart rate variability during exposure to TETRA but the electroencephalogram effects were not replicated. CONCLUSIONS: Observed effects of exposure to TETRA signals on the electroencephalogram (first experiment) and electrocardiogram are consistent with vagal nerve stimulation in the chest by TETRA. However given the small effect on heart rate variability and the lack of consistency on the electroencephalogram, it seems unlikely that this will have a significant impact on health. Long-term monitoring of the health of the police force in relation to TETRA use is on-going.

The Airwave Health Monitoring Study of police officers and staff in Great Britain: rationale, design and methods.

BACKGROUND: The Airwave Health Monitoring Study was established to evaluate possible health risks associated with use of TETRA, a digital communication system used by police forces and other emergency services in Great Britain since 2001. The study has been broadened to investigate more generally the health of the work force. METHODS: From 2004, participants from each force who agreed to participate were enrolled either with an enrolment questionnaire or a comprehensive health screening performed locally. This includes questionnaire, 7-day food diaries, anthropometry, measurements of cardiovascular and cognitive function, blood chemistry, coagulation and haematology. Blood and urine samples are stored in vapour phase liquid nitrogen allowing long-term access for biochemical or genetic analysis. Access to the resource is via an access committee and a steering committee, including external scientific advisers as well as representatives of the police officers and staff. RESULTS: By the end of 2012, the study had recruited 42,112 participants, of whom 35,199 (83.6%) had attended the health screening. Almost two thirds of participants were men and 71% of them were a TETRA user. Being in lower ranks (constable/sergeant and staff) was associated with a worse cardio-metabolic risk profile compared to higher ranks (inspector or chief inspector, superintendent and above). CONCLUSION: The Airwave Health Monitoring Study is the only large-scale cohort study of police employees worldwide. The specificities of this sample, such as its well-defined job hierarchy, make it a particularly valuable occupational cohort. Participants have consented to the use of their data and samples for future, currently unspecified, research purposes.

Treatment Patterns and Negative Health Outcomes in Palmoplantar Pustulosis Patients in Germany and the US.

INTRODUCTION: Limited information exists on the epidemiology, treatment, and burden of palmoplantar pustulosis (PPP) and defining the optimal course of treatment remains challenging without approved targeted treatments in most countries. Here, we describe the clinical and demographic characteristics, treatments received, and negative health outcomes experienced among patients with PPP in the United States (US) and Germany. METHODS: Retrospective cohort study between 2016 and 2021 using data from the US Merative™ MarketScan® Research Database and IQVIA™ German Disease Analyzer. Adult patients with PPP (ICD-10-CM L40.3) were followed from the date of their first qualifying PPP diagnosis and continued until the earlier of disenrollment or end date of database, during which treatment patterns and incidence rates of negative health outcomes were assessed. Treatment patterns included adherence, non-persistence, discontinuation, re-initiation, switching, and combination therapy. RESULTS: The prevalence of PPP was 0.005% and 0.065% in the MarketScan database and German Disease Analyzer, respectively, with 1629 and 3866 patients meeting the inclusion criteria. Most patients were female (71.3%, 67.8%), with mean (SD) age of 54.1 (11.7) and 56.9 (14.3) years, respectively. One year post index, most patients received topical treatment (77.4%, 65.3%), but non-persistence and discontinuation were high. Oral and biologic treatments displayed higher levels of adherence, particularly apremilast and tofacitinib among oral treatments and TNF inhibitors and IL-23 inhibitors among biologics. Rates of negative health outcomes were higher among patients not receiving treatment post-index compared with those receiving treatment post-index across both databases, regardless of prior treatment history. CONCLUSIONS: Establishing treatment guidelines remains an unmet need for patients with PPP and could improve quality of life by reducing the occurrence of negative health outcomes. The findings from this study may provide insight into the effectiveness of current treatment options for patients with PPP and can be leveraged to support the development of treatment guidelines.

Utilization patterns and factors associated with persistence of new users of anti-osteoporosis treatment in Denmark: a population-based cohort study.

Persistence with initial treatment was highest after 1 year, decreasing afterwards. Persistence was highest for denosumab followed by alendronate. We identified several factors associated with treatment persistence, some of which were the same irrespective of OTx agent, which could help target subgroups of patients in terms of social and healthcare support. PURPOSE: To describe patient characteristics, persistence, and factors associated with the persistence of new users of the bisphosphonates (alendronate, risedronate, and ibandronate) and the RANKL inhibitor denosumab in Denmark. METHODS: A population-based cohort study using health registries (2010-2018). We included alendronate (n = 128,590), risedronate (n = 892), ibandronate (n = 5,855), and denosumab (n = 16,469) users, aged ≥ 50 years. RESULTS: The 1-year persistence was 68.2% in the alendronate cohort; 39.3% in the risedronate cohort; 56.3% in the ibandronate cohort; and 84.0% in the denosumab cohort. The 2-year persistence was 58.7% in the alendronate cohort; 28.0% in the risedronate cohort; 42.9% in the ibandronate cohort; and 71.9% in the denosumab cohort. The 4-year persistence was 46.3%, 15.4%, 29.6%, and 56.9%, respectively. Later years of treatment initiation were associated with lower persistence for alendronate (adjusted odds ratio (OR) with 95% CI was 0.86 (0.81-0.91) in 2016 compared to 2010), but not for risedronate (OR was 1.56 (0.60-4.06), ibandronate (OR was 0.92 (0.71-1.19) or denosumab (OR was 1.11 (0.87-1.43). Older age was associated with higher persistence for all medications and the same goes for the female sex except for ibandronate. Dementia was associated with higher persistence for alendronate but not denosumab, whereas prior osteoporosis treatment (OT) was the opposite. Several comorbidities were associated with lower persistence for alendronate, but not denosumab. CONCLUSION: Persistence was highest for denosumab followed by alendronate. We identified several factors associated with treatment persistence, some of which were the same irrespective of OTx agent, which could help target subgroups of patients in terms of social and healthcare support.

Comparison of Rheumatoid Arthritis Information Recorded in UK CPRD Aurum and CPRD GOLD Databases (Companion Paper 3).

Purpose: To report distribution of codes associated with a rheumatoid arthritis (RA) diagnosis recorded in Clinical Practice Research Datalink (CPRD) Aurum compared to the previously validated CPRD GOLD database as a critical step toward making decisions about CPRD Aurum's suitability for medical research. Patients and Methods: We analyzed the distribution of codes for RA diagnoses, labs, and treatments in the new CPRD Aurum database, compared to the CPRD GOLD database by selecting relevant indicators of RA diagnosis, treatment, and clinical care. We included all patients in England in CPRD Aurum and CPRD GOLD with an incident diagnosis code for RA on or after 1 January 2005 and at least two years recorded data before first RA diagnosis. Results: We found 53,083 and 18,167 patients with a new diagnosis code for RA in CPRD Aurum and CPRD GOLD, respectively. In both databases approximately 67% were female with similar mean ages at first diagnosis. There were few differences in RA-related recording patterns between the two data sources. Before first RA diagnosis, CPRD Aurum patients had more RA-specific labs and other supporting clinical codes. After diagnosis, CPRD Aurum patients had more RA diagnoses coded and more often had 10+ general RA labs than patients in CPRD GOLD. More CPRD GOLD patients had 10+ prescriptions for conventional disease-modifying antirheumatic drugs (cDMARD) compared to CPRD Aurum. Otherwise, the distribution of drugs used to treat RA was similar between databases. The standardized incidence of RA was similar between databases. Conclusion: Overall, among patients with a diagnosis code for RA, recording of diagnoses, prescription drugs, and labs were similar between CPRD Aurum and CPRD GOLD. Slight differences were found for a few variables, but overall, we found consistency between the databases. In addition, standardized incidence of RA was similar between databases.

Use of the CPRD Aurum Database: Insights Gained from New Data Quality Assessments.

Ongoing evaluation of any electronic health data source is critical to assess suitability for its use in medical research. In addition, familiarity with a data source's history and recording practices is important for making informed data source selection, study design choices, and interpretation of results. In this commentary, the authors discuss three studies that assessed different aspects of the quality and completeness of information contained in Clinical Practice Research Datalink (CPRD) Aurum compared to the well-established CPRD GOLD and to other linked data sources, with the aim to describe insights gained through these data quality assessments. Our findings support the view that CPRD Aurum and GOLD are both valuable tools for studies based on information recorded in primary care but should not be used without critical consideration of strengths and limitations. Further, use of linked data should be considered for some studies, after taking into account all relevant factors.

Correctness and Completeness of Breast Cancer Diagnoses Recorded in UK CPRD Aurum and CPRD GOLD Databases: Comparison to Hospital Episode Statistics and Cancer Registry (Companion Paper 2).

Purpose: To evaluate the new Clinical Practice Research Datalink (CPRD) Aurum database, we estimated 'correctness' (ie accuracy, validity) and 'completeness' (ie presence, missingness) of malignant breast cancer diagnoses recorded in CPRD Aurum compared to external linked data sources: Hospital Episode Statistics (HES) Admitted Patient Care (APC), HES Outpatient (OP), and Cancer Registry (CR), and to the previously validated CPRD GOLD. Methods: Linkage-eligible, female patients with incident malignant breast cancer diagnosis recorded in at least one study data source were selected. Correctness was the proportion of malignant breast cancer cases recorded in CPRD Aurum or GOLD who also had a diagnosis recorded in HES APC/OP (2004-2019) or CR (2004-2016). Completeness was estimated by identifying all malignant breast cancer diagnoses in HES APC/OP or CR and calculating the proportion with a concordant diagnosis in CPRD Aurum or GOLD. Results: Compared to HES APC/OP, there were 85,659 and 31,452 eligible patients in CPRD Aurum and GOLD, respectively. Correctness estimates were high (CPRD Aurum 83.5%, GOLD 81.7%). Compared to CR, there were 70,190 and 29,597 eligible patients in CPRD Aurum and GOLD, respectively: correctness was 89.1% for CPRD Aurum and 88.2% for GOLD. Completeness estimates for CPRD Aurum and GOLD were high (>90%). Diagnoses were recorded in CPRD Aurum within -7 to 74 days of those in the linked sources. Reasons for discordant diagnostic coding included presence of treatment or other clinical codes only, diagnosis coded after end of follow-up, non-malignant breast cancer in linked data, and administrative codes in lieu of diagnostic codes. Conclusion: These results indicate that correctness and completeness of malignant breast cancer diagnoses in CPRD Aurum were high and similar to CPRD GOLD. This provides confidence in use of CPRD Aurum for research purposes. Where complete case capture is important, researchers should consider linkage to HES APC or CR.

Presence of Breast Cancer Information Recorded in United Kingdom Primary Care Databases: Comparison of CPRD Aurum and CPRD GOLD (Companion Paper 1).

Purpose: To evaluate the presence of data elements related to diagnosis and treatment of malignant breast cancer in CPRD Aurum compared to those in the previously validated CPRD GOLD. Methods: Females in CPRD Aurum or GOLD with a first-time code for malignant breast cancer, mastectomy, or ≥1 prescription for tamoxifen or aromatase inhibitors (2004-2019) were selected. We compared the presence of the codes for breast cancer diagnosis, surgeries (mastectomy, lumpectomy), tamoxifen and aromatase inhibitor prescriptions, radiation, chemotherapy, and supporting clinical codes (suspected breast cancer, lump symptoms, biopsy, lumpectomy, cancer care, referral/visit to specialist, palliative care). Age standardized incidence rates of breast cancer diagnosis in CPRD Aurum and GOLD were calculated. Results: There were 131,936 eligible patients in CPRD Aurum and 69,102 patients in GOLD. A similar proportion of patients in CPRD Aurum and GOLD had codes for breast cancer diagnosis, mastectomy, drug prescriptions, lump, biopsy, lumpectomy, chemotherapy, and cancer and palliative care coded in their electronic record during follow-up. However, suspected breast cancer, radiation, and referral/visits to specialists were coded more frequently in patients in CPRD Aurum compared to GOLD. Age-standardized incidence rates were similar for CPRD Aurum and GOLD. Conclusion: Overall, there was consistency between data elements related to malignant breast cancer recorded in CPRD Aurum and GOLD, particularly for the most informative clinical details. These findings provide reassurance that breast cancer information recorded in CPRD Aurum is generally comparable to that recorded in the previously validated CPRD GOLD and support the use of CPRD Aurum for breast cancer research.

Osteoporosis-related characteristics in care home residents in England: a retrospective cohort study.

BACKGROUND: The characteristics of care home populations, with respect to fracture risk factors, have not been well-defined. AIM: To describe osteoporosis-related characteristics among care home residents, including fracture risk factors, fracture rates, post-fracture outcomes, and osteoporosis treatment duration. DESIGN & SETTING: A descriptive cohort study of care home residents aged ≥60 years (n = 8366) and a matched cohort of non-care home residents (n = 16 143) in England from 2012 to 2019. Clinical Practice Research Datalink (CPRD) linked to Hospital Episode Statistics (HES) and Office for National Statistics (ONS) death data were used. METHOD: The characteristics were assessed using descriptive statistics. Fracture risk factors and fracture rates were described in both the care home and matched population. In the care home population, Kaplan-Meier curves were plotted to assess osteoporosis treatment duration. RESULTS: At index, fracture risk factors were more common in care home residents versus the matched cohort, including body mass index (BMI) <18.5 (12.2% versus 5.1%), history of falls (48.9% versus 30.7%), prior fracture (26.5% versus 10.8%), and prior hip fracture (17.1% versus 5.8%). Fracture rate was 43.5 (95% confidence interval [CI] = 39.7 to 47.5) in care home residents and 28.0 (95% CI = 26.3 to 29.9) per 1000 person-years in the matched cohort. Overall, osteoporosis treatment was initiated in 3.6% (n = 225/6265) of care home residents and 45.9% remained on treatment at 12 months. Among care home residents who experienced fracture, 21.9% (n = 72/329) received an osteoporosis diagnosis; 21.2% (n = 63/297) initiated osteoporosis treatment post-hip fracture. CONCLUSION: Care home residents had more fracture risk factors and higher fracture rates than the matched cohort; however, osteoporosis diagnosis, treatment rates, and treatment duration were low. There is an opportunity to improve osteoporosis management in this vulnerable population.

Premature morbidity and mortality associated with potentially undiagnosed familial hypercholesterolemia in the general population.

Background: Familial hypercholesterolemia (FH) is common, but underdiagnosed, and few systematic early screening programs exist. Objective: To assess health outcomes among those with a recorded diagnosis of FH and potential cases of FH with no recorded diagnosis. Methods: Retrospective cohort study using the UK Clinical Practice Research Datalink. Records of adults were classified as diagnosed FH (FHCoded), or via accepted algorithms using LDL-C and clinical characteristics as potential FH (FHPotential) or unlikely FH (FHUnlikely) using the DLCN or EUROASPIRE criteria (but no record of FH). Outcomes assessed were premature cardiovascular (CV) events, premature deaths and life expectancy. Results: Among 1,729,046 individuals free from CV events, a record of FHCoded before the age of 40 was 0.3/1000 (IQR 0.3-0.4) and increased with age. Where LDL-C levels were available, 1.8/1000 (IQR 1.6-2.0) could be classified as FHPotential. LDL-C was higher for both FHCoded and FHPotential vs FHUnlikely (185.6 and 216.6 vs 116 mg/dL, respectively, p<0.001). Compared to FHUnlikely both FHCoded and FHPotential cohorts had a higher risk of premature cardiovascular events (both p<0.001) with highest rates among FHCoded. Risk of premature deaths did not differ between FHCoded and FHUnlikely, but was 1.88 (95% CI 1.27-2.78, p = 0.002) for FHPotential vs FHCoded and 2.40 (95% CI 1.57-3.67, p<0.001) for FHPotential vs FHUnlikely. At age 18, the FHPotential cohort had a life expectancy 16 years lower than the FHCoded cohort (p<0.001). Conclusions: Potential cases of FH had a doubling in risk of premature death and a large reduction in life expectancy compared to individuals with a recorded diagnosis of FH. These findings strengthen the critical importance of identifying potential cases of FH early and early treatment.

Occupation and risk of lymphoma: a multicentre prospective cohort study (EPIC).

OBJECTIVES: Evidence suggests that certain occupations and related exposures may increase the risk of malignant lymphoma. Farming, printing and paper industry, wood processing, meat handling and processing, welding, shoe and leather manufacturing and teaching profession are among the categories that have been implicated in previous studies. The relationship between occupation and malignant lymphoma has been investigated in a large European prospective study. METHODS: We investigated occupational risks for lymphomas in the European Prospective Investigation into Cancer and Nutrition (EPIC). The mean follow-up time for 348,555 subjects was 9 years (SD: 2 years). The analysis was based on 866 and 48 newly diagnosed cases of non-Hodgkin's lymphoma (NHL) and Hodgkin's lymphoma (HL). These were identified in the EPIC subcohorts with occupational data. Data on 52 occupations were collected through standardised questionnaires. Cox proportional hazard models were used to explore the association between occupation and risk of malignant lymphoma. RESULTS: The following occupations were positively associated with malignant NHL after adjustment for study centre, age, sex, socioeconomic status (SES), smoking and alcohol: butchers (HR=1.53, 95% CI 1.05 to 2.48, including multiple myeloma/plasmacytoma; HR=1.30, 95% CI 1.00 to 2.66, excluding multiple myeloma/plasmacytoma) and car repair workers (HR=1.50, 95% CI 1.01 to 2.00, including multiple myeloma/plasmacytoma; HR=1.51, 95% CI 1.01 to 2.31, excluding multiple myeloma/plasmacytoma). HL was associated with gasoline station occupation (HR=4.59, 95% CI 1.08 to 19.6). CONCLUSION: The findings in this current study of a higher risk of NHL among car repair workers and butchers and a higher risk of HL among gasoline station workers suggest a possible role from occupationally related exposures, such as solvents and zoonotic viruses, as risk factors for malignant lymphoma.

Clinical features and diagnosis of multiple myeloma: a population-based cohort study in primary care.

OBJECTIVES: Patients with multiple myeloma (MM) experience significant delays in diagnosis due to non-specific symptomatology. The aim of this study was to characterise the frequency and timing of clinical features in the primary care setting prior to MM diagnosis. DESIGN: Population-based cohort study. SETTING: Electronic health records data of approximately 17 million patients (2006-2016) within the UK Clinical Practice Research Datalink. PARTICIPANTS: Patients aged ≥18 years with newly diagnosed MM (NDMM), no history of solid tumours and ≥2 years registration in a primary care practice prior to MM diagnosis. MAIN OUTCOME MEASURES: Clinical features and symptoms including bone pain, skeletal-related events (SREs), investigation and confirmation of MM diagnostic CRAB criteria (hyperCalcaemia, Renal impairment, Anaemia, Bone lesions) during the 2 years prior to MM diagnosis; time between symptom manifestation and/or relevant investigation and diagnosis of MM. RESULTS: Among 2646 patients with NDMM, 47.5% had a bone pain record during the 2-year period prior to MM diagnosis, mainly affecting the back. Regardless of baseline bone pain, investigations for serum calcium level were used in 36.4% of patients prior to MM diagnosis, followed by haemoglobin (65.6%) or renal function (74.1%). Median (Q1, Q3) time from first-recorded bone pain to MM diagnosis was 220 (80, 476) days. Median (Q1, Q3) time from first-recorded hypercalcaemia, renal impairment or anaemia to MM diagnosis was 23 (12, 46), 58 (17, 254) and 73 days (28, 232), respectively. An imaging investigation or referral for imaging was recorded for 60.0% of patients with bone pain/SRE and 32% without. CONCLUSIONS: Nearly half of patients diagnosed with NDMM presented with bone pain approximately 7 months prior to MM diagnosis. Investigations to evaluate all CRAB criteria, including targeted imaging, were underused. Early recognition of myeloma clinical features and optimised use of investigations in primary care may potentially expedite MM diagnosis.

Double-strand break DNA repair genotype predictive of later mortality and cancer incidence in a cohort of non-smokers.

We followed-up for mortality and cancer incidence 1088 healthy non-smokers from a population-based study, who were characterized for 22 variants in 16 genes involved in DNA repair pathways. Follow-up was 100% complete. The association between polymorphism and mortality or cancer incidence was analyzed using Cox Proportional Hazard regression models. Ninety-five subjects had died in a median follow-up time of 78 months (inter-quartile range 59-93 months). None of the genotypes was clearly associated with total mortality, except variants for two Double-Strand Break DNA repair genes, XRCC3 18067 C>T (rs#861539) and XRCC2 31479 G>A (rs#3218536). Adjusted hazard ratios were 2.25 (1.32-3.83) for the XRCC3 C/T genotype and 2.04 (1.00-4.13) for the T/T genotype (reference C/C), and 2.12 (1.14-3.97) for the XRCC2 G/A genotype (reference G/G). For total cancer mortality, the adjusted hazard ratios were 3.29 (1.23-7.82) for XRCC3 C/T, 2.84 (0.81-9.90) for XRCC3 T/T and 3.17 (1.21-8.30) for XRCC2 G/A. With combinations of three or more adverse alleles, the adjusted hazard ratio for all cause mortality was 17.29 (95% C.I. 8.13-36.74), and for all incident cancers the HR was 5.28 (95% C.I. 2.17-12.85). Observations from this prospective study suggest that polymorphisms of genes involved in the repair of DNA double-strand breaks significantly influence the risk of cancer and non-cancer disease, and can influence mortality.

Second-hand smoke, cotinine levels, and risk of circulatory mortality in a large cohort study of never-smokers.

BACKGROUND: Exposure to second-hand smoke has been shown to be associated with increased cardiovascular mortality in several, but not all, epidemiologic studies. Our aim was to investigate the risk of circulatory death associated with exposure to second-hand smoke in never-smokers in a very large prospective study, the European Prospective Investigation into Cancer and Nutrition. A secondary aim was to use cotinine levels for cross-validating self-reported second-hand smoke exposure. METHODS: Cox proportional hazard models were used to investigate the risk of death due to circulatory causes associated with second-hand smoke exposure in 135,233 never-smokers. Exposure to second-hand smoke was assessed through a questionnaire at enrollment and then validated against plasma cotinine measurements in a subsample. RESULTS: Study participants who reported second-hand smoke exposure at home had higher cotinine levels (median plasma cotinine concentration in exposed = 0.82 microg/L; in those unexposed 0.02 microg/L). Second-hand smoke exposure at home was associated with an increased risk of dying from cardiovascular diseases (hazard ratio [HR] = 1.38 [95% confidence interval = 1.01-1.90]), all circulatory diseases (1.28 [0.98-1.69]), and coronary heart disease (1.31 [0.83-2.08]) after adjustment for age, sex, education, physical activity, and body mass index. Dose-response relationships were observed between exposure to second-hand smoke at home and risk of circulatory death (HR per each additional hour/d = 1.25 [1.04-1.50]). Having a partner who smokes more than 30 cigarettes per day considerably increased the risk of a circulatory death (2.94 [1.11-7.78]). Second-hand smoke exposure at home was not associated with total mortality (1.03 [0.93-1.13]). DISCUSSION: Exposure to second-hand smoke at home (as confirmed by plasma cotinine levels) increases the risk of cardiovascular mortality.

Longer-term psychiatric adjustment of children and parents after meningococcal disease.

OBJECTIVE: To ascertain whether increases in psychological symptoms in children and parents after meningococcal disease are sustained over time, and to examine the psychosocial and illness associations of 12-mo psychological outcome. DESIGN: A prospective, cohort study using repeated measures. SETTING: Three pediatric intensive care units and 19 general pediatric wards across greater London. PATIENTS: Fifty-six children, aged 3 to 16 yrs, admitted to hospital with meningococcal disease and their parents. MEASURES AND MAIN RESULTS: Child and parent psychological symptoms were measured, using the Strengths and Difficulties Questionnaire (SDQ) and the General Health Questionnaire (GHQ) at three time points: before/during hospital admission, 3 mos, and 12 mos after discharge. The Impact of Event Scale (IES) was used at the two follow-up points. During the follow-up period, there were statistically significant increases over child pre-illness levels in parent-rated emotional, conduct, hyperactivity, and impact SDQ scores; the most significant change at 12-mo follow-up was an increase in impact on daily living scores. At 12 mos, five (11%) of 43 children were at risk for posttraumatic stress disorder. The strongest correlations of 12-mo child psychological symptoms (total SDQ scores)--in addition to premorbid total SDQ score--were illness-related changes in parenting, maternal IES and GHQ scores. At 12 mos, 13 (24%) of 54 mothers and six (15%) of 40 fathers scored at high risk for posttraumatic stress disorder. The strongest correlation of maternal posttraumatic stress disorder symptoms (IES scores) was paternal posttraumatic stress disorder symptoms. CONCLUSIONS: Admission to the hospital with meningococcal disease is followed by an increase in psychological symptoms in children at home, some of which are persistent and impairing, and by continuing posttraumatic stress symptoms in a proportion of children and parents. Psychosocial (pre- and postmorbid) factors predict problems at 12-mo follow-up.

Smoking and lymphoma risk in the European prospective investigation into cancer and nutrition.

Lymphomas are one of the few cancers that have been increasing in incidence over the past decades. So far, only a few established risk factors have been identified, including immunosuppression and viral infections. Recent evidence suggests etiologic heterogeneity of different lymphoma subtypes. Smoking may affect risk differently, depending on the lymphoma entity. The European Prospective Investigation into Cancer and Nutrition was used to study the role of smoking in the etiology of lymphomas and individual subtypes within a prospective study. Information on baseline and lifetime tobacco smoking by 478,590 participants was collected between 1992 and 2000. Cox proportional hazards regression was used to calculate multivariate-adjusted hazard ratios and 95% confidence intervals. During 3,567,410 person-years of follow-up, 1,371 lymphoma cases (1,304 non-Hodgkin's lymphomas and 67 Hodgkin's lymphomas) were identified. Relative risk for smokers at recruitment was more than twofold higher for Hodgkin's lymphoma (hazard ratio = 2.14, 95% confidence interval: 1.18, 3.87) but was not elevated for non-Hodgkin's lymphoma (hazard ratio = 1.06, 95% confidence interval: 0.94, 1.19) and individual B-cell non-Hodgkin's lymphoma subtypes. In this prospective study, smoking appeared to increase Hodgkin's lymphoma risk consistently in both genders, whereas B-cell non-Hodgkin's lymphoma risk was not associated. Future analysis should involve viral biomarkers and genetic susceptibility markers to elucidate potential mechanisms of smoking-induced carcinogenesis, particularly for Hodgkin's lymphoma.

Basal-bolus Therapy in Patients with Type 2 Diabetes Mellitus in the UK: Patient Characteristics, Treatment Patterns and the Effect of Switching to Premixed Insulin.

INTRODUCTION: Increasing emphasis is being placed on insulin use among patients with type 2 diabetes mellitus (T2DM). Basal-bolus (BB) therapy is regarded as the gold standard, but a high frequency of injections and the general complexity of this therapy are seen as barriers in real-world practice. Here we describe the characteristics and treatment patterns of patients with T2DM receiving BB in the UK, with specific focus on those switching to a simplified regimen of premixed insulin. METHODS: Patients with T2DM receiving BB from 1 January 2005 were identified from the Clinical Practice Research Datalink. Characteristics were described at treatment initiation or on 1 January 2005, and treatment patterns were assessed at 12 months of follow-up. Clinical factors were compared in two groups of patients who while receiving BB had one haemoglobin A1c (HbA1c) measurement of ≥53 mmol/mol (7.0%) and remained either on BB or switched to a premixed insulin regimen. RESULTS: Study criteria were met by 12,060 subjects (mean age 59 years; duration diabetes 12.4 years). The mean HbA1c concentration was 76 mmol/mol (9.1% of patients), and 84.0% of patients were overweight. At 12 months of follow-up, 74.5% of the patients who had started BB remained on it. While on BB, 8835 patients had a HbA1c measurement of ≥53 mmol/mol (7.0% of all patients); of these, 95.9% remained on BB and 4.1% switched to premixed insulin. Mean HbA1c levels were consistently higher for patients who switched to premixed insulin than for those who remained on BB, but the levels remained relatively unchanged over time. CONCLUSION: A large proportion of patients receiving insulin did not achieve good glycaemic control in clinical practice. A small subset with higher comorbidities and HbA1c levels switched to a simplified regimen. Little evidence was found that type of insulin therapy was associated with meaningful changes in key clinical factors over time. FUNDING: Eli Lilly and company.