The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study

Background: Obesity is a global public health problem. There are a range of treatments available with varying short and long term success rates. One option is the use of anti-obesity medication the prescription of which has increased dramatically in recent years. Despite this, little is known about the individual and GP practice factors that influence the prescription of anti-obesity medication. Methods: Multi-level logistic regression analysis was used to investigate factors associated with the prescription of anti-obesity medication in Northern Ireland using a population primary care prescribing database (~1.5 million people aged 16+ years) during 2009/10. Results: While 25.0% of people are obese, only 1.3% (2.1% of females, 0.6% of males) received anti-obesity medication. The relationship between medication rates and age differed by gender (P < 0.001) with prescriptions higher in younger females and older males. Prescribing of anti-obesity medication reflected obesity prevalence across urban/rural areas and deprivation. There was an unexplained two-fold difference, between the 25th and 75th percentile, in the GP practice prescription of anti-obesity medication. Conclusions: There is evidence of relative under-prescribing in males compared to females despite a similar prevalence of obesity. While the prevalence (and presumably the health consequences) of obesity worsens with age, younger females are more likely to be prescribed anti-obesity medication. This suggests an element of patient demand. Educational material to improve the understanding of the role of anti-obesity medication, for patients and practitioners, is recommended. But further study is needed to understand the factors responsible for the variation in prescribing between GP practices.

Correlation of phantom-based and log file patient-specific QA with complexity scores for VMAT

The motivation for this study was to reduce physics workload relating to patient- specific quality assurance (QA). VMAT plan delivery accuracy was determined from analysis of pre- and on-treatment trajectory log files and phantom-based ionization chamber array measurements. The correlation in this combination of measurements for patient-specific QA was investigated. The relationship between delivery errors and plan complexity was investigated as a potential method to further reduce patient-specific QA workload. Thirty VMAT plans from three treatment sites - prostate only, prostate and pelvic node (PPN), and head and neck (H&amp;N) - were retrospectively analyzed in this work. The 2D fluence delivery reconstructed from pretreatment and on-treatment trajectory log files was compared with the planned fluence using gamma analysis. Pretreatment dose delivery verification was also car- ried out using gamma analysis of ionization chamber array measurements compared with calculated doses. Pearson correlations were used to explore any relationship between trajectory log file (pretreatment and on-treatment) and ionization chamber array gamma results (pretreatment). Plan complexity was assessed using the MU/ arc and the modulation complexity score (MCS), with Pearson correlations used to examine any relationships between complexity metrics and plan delivery accu- racy. Trajectory log files were also used to further explore the accuracy of MLC and gantry positions. Pretreatment 1%/1 mm gamma passing rates for trajectory log file analysis were 99.1% (98.7%-99.2%), 99.3% (99.1%-99.5%), and 98.4% (97.3%-98.8%) (median (IQR)) for prostate, PPN, and H&amp;N, respectively, and were significantly correlated to on-treatment trajectory log file gamma results (R = 0.989, p &lt; 0.001). Pretreatment ionization chamber array (2%/2 mm) gamma results were also significantly correlated with on-treatment trajectory log file gamma results (R = 0.623, p &lt; 0.001). Furthermore, all gamma results displayed a significant correlation with MCS (R &gt; 0.57, p &lt; 0.001), but not with MU/arc. Average MLC position and gantry angle errors were 0.001 ± 0.002 mm and 0.025° ± 0.008° over all treatment sites and were not found to affect delivery accuracy. However, vari- ability in MLC speed was found to be directly related to MLC position accuracy. The accuracy of VMAT plan delivery assessed using pretreatment trajectory log file fluence delivery and ionization chamber array measurements were strongly correlated with on-treatment trajectory log file fluence delivery. The strong corre- lation between trajectory log file and phantom-based gamma results demonstrates potential to reduce our current patient-specific QA. Additionally, insight into MLC and gantry position accuracy through trajectory log file analysis and the strong cor- relation between gamma analysis results and the MCS could also provide further methodologies to both optimize the VMAT planning and QA process. 

Mitotic Arrest Deficiency Protein 2 (MAD2) and Histone Deacetylase 6 (HDAC6) Present a Complex Relationship in Their Regulation and Expression and Subsequent Impact on Chemoresponsiveness

Introduction:
Ovarian cancer patients presenting with advanced stage (III/IV)
canceraretreatedwithcarboplatinumincombinationwithpaclitaxel.Despitea
significant initial response rate, fewer than 20% of patients become long-term
survivors. We have published that low MAD2 expression levels associate with
reduced progression free survival (PFS) in patients with high-grade serous
epithelial ovarian cancer (EOC). Moreover, we have demonstrated that MAD2
expressionisdown-regulatedbythemicroRNAmiR-433(
Furlong et al., 2011
).
Interestingly, miR-433 also down-regulates HDAC6 (
Simon et al., 2010
), which
uniquely deacetylates
a
-tubulin prior to HDAC6s binding to
b
-tubulin.
In vitro
studies have shown that HDAC6 inhibition in combination with paclitaxel
treatment enhances chemoresistant cancer cell death. To date, an interaction
between MAD2 and HDAC6 has not been reported.
Experimental design:
MAD2 and HDAC6 immunohistochemistry (IHC) and
Western blot analyses were performed to investigate the role of HDAC6 and
MAD2 in chemoresistance to paclitaxel in high-grade serous EOC.
Results and Discussion:
In vitro
experiments demonstrated that overex-
pression of pre-miR-433, which targets MAD2, resulted in down-regulation
of HDAC6 in EOC cell lines. High levels of HDAC6 are co-expressed with
MAD2 in the paclitaxel resistant UPN251 and OVCAR7 cell lines. While, all
4 paclitaxel resistant EOC cell lines express higher levels of miR-433 than
the paclitaxel sensitive A2780 cells, only ovca432 and ovca433 demonstrated
down-regulation of both HDAC6 and MAD2. Paclitaxel binds to
b
-tubulin and
causesmicrotubulepolymerizationinpaclitaxelsensitivecellsasdemonstrated
by tubulin acetylation in A2780 cells. However, paclitaxel failed to cause a
significant acetylation of
a
-tubulin and microtubule stabilisation in the resistant
UPN251 cells. Therefore resistance in this cell line may be mediated by
aberrantly high HDAC6 activity. We have previously shown that MAD2 knock-
down cells are resistant to paclitaxel (
Furlong F., et al., 2011; Prencipe M.,
et al., 2009
). We measured HDAC6 protein expression in MAD2 knockdown
cells and showed that MAD2 knockdown is associated with concomitant
up-regulation of HDAC6. We hypothesise that the up-regulation of HDAC6
by MAD2 knockdown renders cancer cells more resistant to paclitaxel and
increases the invasive potential of these cells. On-going experiments will test
this hypothesis. Lastly we have observed differential MAD2 and HDAC6 IHC
staining intensity in formalin fixed paraffin embedded EOC samples.
In conclusion
, we have reported on a novel interaction between MAD2 and
HDAC6 which may have important consequences for paclitaxel resistant EOC.
Moreover, understanding chemo-responsiveness in ovarian tumours will lead
to improved patient management and treatment options for women diagnosed
with this disease

A patient perspective of pharmacist prescribing: 'crossing the specialisms-crossing the illnesses'

Background: The drive for non-medical prescribing has progressed quickly since the late 1990s and involves a range of healthcare professionals including pharmacists. As part of a commissioned research project, this qualitative element of a larger case study focused on the views of patients of pharmacist prescribers. 

Objective: The aim of this study was to explore patients' perspectives of pharmacists as prescribers. 

Methods: Three pharmacists working as independent prescribers in the clinical areas of (i) hypertension, (ii) cardiovascular/diabetes management, (iii) anticoagulation were recruited to three case studies of pharmacist prescribing in Northern Ireland. One hundred and five patients were invited to participate in focus groups after they had been prescribed for by the pharmacist. Focus groups took place between November 2010 and March 2011 (ethical/governance approvals granted) were audio taped, transcribed verbatim, read independently by two authors and analysed using constant comparative analysis. 

Results: Thirty-four patients agreed to participate across seven focus groups. Analysis revealed the emergence of one overarching theme: team approach to patient care. A number of subthemes related to the role of the pharmacist, the role of the doctor and patient benefits. There was an overwhelming lack of awareness of pharmacist prescribing. Patients discussed the importance of a multidisciplinary approach to their care and recognized limitations of the current model of prescribing. 

Conclusion: Patients were positive about pharmacist prescribing and felt that a team approach to their care was the ideal model especially when treating those with more complex conditions. Despite positive attitudes, there was a general lack of awareness of this new mode of practice.