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Many studies suggest a role for cholesterol in cancer development. Serum cholesterol levels have been observed to be low in newly diagnosed lymphoma cases. The objective of these analyses was to examine the time-varying relationship of cholesterol with lymphomagenesis in the 10 years prior to diagnosis by lymphoma subtype.Participants were selected from the combined membership of six National Cancer Institute-funded Cancer Research Network health plans from 1998 to 2008, excluding members with human immunodeficiency virus, cancer (except lymphoma), or organ transplants. Incident lymphoma cases within this population were ascertained and matched with up to five controls. Total serum cholesterol, high-density lipoprotein, and low-density lipoprotein were collected from plan databases. Multilevel, multivariable longitudinal models were fit after choosing the best polynomial order by deviance statistics for selected lymphoma histotypes to examine pre-diagnosis cholesterol trajectories: Hodgkin lymphoma (n = 519) and all non-Hodgkin lymphomas combined (n = 12,635) as well as six subtypes of the latter.For all categories, lymphoma cases had statistically significantly lower estimated total serum cholesterol, high-density lipoprotein, and low-density lipoprotein levels than controls in the years prior to diagnosis/index date. Between-group differences were most pronounced 3-4 years prior to diagnosis, when cases' cholesterol levels declined steeply.This analysis is the first to examine changes in serum cholesterol for a decade prior to lymphoma diagnosis. A drop in cholesterol levels was evident several years before diagnosis. Our results suggest that cholesterol-related pathways have an important relationship with lymphomagenesis and low cholesterol could be a preclinical lymphoma marker.

Animal and human data suggest statins may be protective against developing multiple myeloma; however, findings may be biased by the interrelationship with lipid levels. We investigated the association between statin use and risk of multiple myeloma in a large US population, with an emphasis on accounting for this potential bias. We conducted a case-control study nested within 6 US integrated healthcare systems participating in the National Cancer Institute-funded Cancer Research Network. Adults aged ≥40 years who were diagnosed with multiple myeloma from 1998-2008 were identified through cancer registries (N = 2,532). For each case, five controls were matched on age, sex, health plan, and membership duration prior to diagnosis/index date. Statin prescriptions were ascertained from electronic pharmacy records. To address potential biases related to lipid levels and medication prescribing practices, multivariable marginal structural models were used to model statin use (≥6 cumulative months) and risk of multiple myeloma, with examination of multiple latency periods. Statin use 48-72 months prior to diagnosis/index date was associated with a suggestive 20-28% reduced risk of developing multiple myeloma, compared to non-users. Recent initiation of statins was not associated with myeloma risk (risk ratio range 0.90-0.99 with 0-36 months latency). Older patients had more consistent protective associations across all latency periods (risk ratio range 0.67-0.87). Our results suggest that the association between statin use and multiple myeloma risk may vary by exposure window and age. Future research is warranted to investigate the timing of statin use in relation to myeloma diagnosis.

El perquè i el per a què d’una manera de treballar. O les primeres passes davant les ganes compartides de canvi en la manera d’entendre l’educació del nostre jovent. Unes pinzellades per compartir un anhel, un desig, una voluntat..., El por qué y el para qué de una manera de trabajar. O los primeros pasos ante las ganas compartidas de cambio en nuestra manera de entender la educación de nuestros jóvenes. Unas pinceladas para compartir un anhelo, un deseo, una voluntad...

Respiratory drugs are widely used in children to treat labeled and non-labeled indications but only some data are available quantifying comprehensively off-label usage. Thus, we aim to analyse drug utilisation and off-label prescribing of respiratory drugs focusing on age- and indication-related off-label use. Patients aged ≤18 years documented in the Bavarian Association of Statutory Health Insurance Physicians database (approx. 2 million children) between 2004 and 2008 were included in our study. Annual period prevalence rates (PPRs) per 10,000 children and the proportion of age- and indication-related off-label prescriptions were calculated and stratified by age and gender. Within the study period, highest PPRs were found for the fixed combination of clenbuterol/ambroxol (between 374-575 per 10,000 children) and the inhaled short acting beta-2-agonist salbutamol (between 378-527 per 10,000 children). Highest relative PPR increase was found for oral salbutamol (approx. 39-fold) whereas the most distinct decrease was found for oral long-acting beta-2-agonist clenbuterol (-97%). Compound classes most frequently involved in off-label prescribing were inhaled bronchodilative compounds (91,402; 37.3%) and oral beta-2-agonists (26,850; 22.5%). The highest absolute number of off-label prescriptions were found for inhaled salbutamol (n = 67,084; 42.0%) and oral clenbuterol/ambroxol (fixed combination, n = 18,897; 20.7%). Off-label prescribing due to indication was of much greater relevance than age-related off-label use. Most frequently, bronchodilative compounds were used off-label to treat respiratory tract infections. Highest off-label prescription rates were found in the youngest patients without relevant gender-related differences. Off-label prescribing of respiratory drugs is common especially in young children. Bronchodilative drugs were most frequently used off-label for treating acute bronchitis or upper respiratory tract infections underlining the essential need for a more rational prescribing in this area. © 2014 Schmiedl et al.

BACKGROUND: The assessment of the benefit-risk of medicines needs careful consideration concerning their patterns of utilization. Systems for the monitoring of medicines consumption have been established in many European countries, and several international groups have identified and described them. No other compilation of European working groups has been published. As part of the PROTECT project, as a first step in searching for European data sources on the consumption of five selected groups of medicines, we aimed to identify and describe the main characteristics of the existing collaborative European working groups. FINDINGS: Google and bibliographic searches (PubMed) of articles containing information on databases and other sources of drug consumption data were conducted. For each working group the main characteristics were recorded.Nineteen selected groups were identified, focusing on: a) general drug utilisation (DU) research (EuroDURG, CNC, ISPE'S SIG-DUR, EURO-MED-STAT, PIPERSKA Group, NorPEN, ENCePP, DURQUIM), b) specific DU research: b.1) antimicrobial drugs (ARPAC, ESAC, ARPEC, ESGAP, HAPPY AUDIT), b.2) cardiovascular disease (ARITMO, EUROASPIRE), b.3) paediatrics (TEDDY), and b.4) mental health/central nervous system effects (ESEMeD, DRUID, TUPP/EUPoMMe). Information on their aims, methods and activities is presented. CONCLUSIONS: We assembled and updated information on European working groups in DU research and in the utilisation of five selected groups of drugs for the PROTECT project. This information should be useful for academic researchers, regulatory and health authorities, and pharmaceutical companies conducting and interpreting post-authorisation and safety studies. European health authorities should encourage national research and collaborations in this important field for public health.

BACKGROUND: The assessment of the benefit-risk of medicines needs careful consideration concerning their patterns of utilization. Systems for the monitoring of medicines consumption have been established in many European countries, and several international groups have identified and described them. No other compilation of European working groups has been published. As part of the PROTECT project, as a first step in searching for European data sources on the consumption of five selected groups of medicines, we aimed to identify and describe the main characteristics of the existing collaborative European working groups. FINDINGS: Google and bibliographic searches (PubMed) of articles containing information on databases and other sources of drug consumption data were conducted. For each working group the main characteristics were recorded.Nineteen selected groups were identified, focusing on: a) general drug utilisation (DU) research (EuroDURG, CNC, ISPE'S SIG-DUR, EURO-MED-STAT, PIPERSKA Group, NorPEN, ENCePP, DURQUIM), b) specific DU research: b.1) antimicrobial drugs (ARPAC, ESAC, ARPEC, ESGAP, HAPPY AUDIT), b.2) cardiovascular disease (ARITMO, EUROASPIRE), b.3) paediatrics (TEDDY), and b.4) mental health/central nervous system effects (ESEMeD, DRUID, TUPP/EUPoMMe). Information on their aims, methods and activities is presented. CONCLUSIONS: We assembled and updated information on European working groups in DU research and in the utilisation of five selected groups of drugs for the PROTECT project. This information should be useful for academic researchers, regulatory and health authorities, and pharmaceutical companies conducting and interpreting post-authorisation and safety studies. European health authorities should encourage national research and collaborations in this important field for public health.