Publications

Despite population-wide efforts to reduce tobacco use, low-income populations in the USA have much higher rates of tobacco use compared with the general population. The principal components of tobacco control policies in the USA include cigarette taxes, clean indoor air laws and comprehensive interventions to increase access to tobacco cessation services. In this review, we describe the effectiveness of these policies and interventions in reducing tobacco use among vulnerable populations, focusing on persons with mental health disorders and substance use disorders, persons who have experienced incarceration or homelessness, and low-income tenants of public housing. We discuss the challenges that evolving tobacco and nicotine products pose to tobacco control efforts. We conclude by highlighting the clinical implications of treating tobacco dependence in healthcare settings that serve vulnerable populations.

PURPOSE

Cell-free DNA (cfDNA) prenatal screening tests have been rapidly adopted into clinical practice, due in part to positive insurance coverage. We evaluated the framework payers used in making coverage decisions to describe a process that should be informative for other sequencing tests.

METHODS

We analyzed coverage policies from the 19 largest US private payers with publicly available policies through February 2016, building from the University of California San Francisco TRANSPERS Payer Coverage Policy Registry.

RESULTS

All payers studied cover cfDNA screening for detection of trisomies 21, 18, and 13 in high-risk, singleton pregnancies, based on robust clinical validity (CV) studies and modeled evidence of clinical utility (CU). Payers typically evaluated the evidence for each chromosomal abnormality separately, although results are offered as part of a panel. Starting in August 2015, 8 of the 19 payers also began covering cfDNA screening in average-risk pregnancies, citing recent CV studies and updated professional guidelines. Most payers attempted, but were unable, to independently assess analytic validity (AV).

CONCLUSION

Payers utilized the standard evidentiary framework (AV/CV/CU) when evaluating cfDNA screening but varied in their interpretation of the sufficiency of the evidence. Professional guidelines, large CV studies, and decision analytic models regarding health outcomes appeared highly influential in coverage decisions.Genet Med advance online publication 22 September 2016.

The purpose of this work was to evaluate the effect of androgen receptor (AR) inhibition on prostate-specific membrane antigen (PSMA) uptake imaged using Ga-PSMA-11 PET in a mouse xenograft model and in a patient with castration-sensitive prostate cancer.

METHODS

We imaged 3 groups of 4 mice bearing LNCaP-AR xenografts before and 7 d after treatment with ARN-509, orchiectomy, or control vehicle. Additionally, we imaged one patient with castration-sensitive prostate cancer before and 4 wk after treatment with androgen deprivation therapy (ADT). Uptake on pre- and posttreatment imaging was measured and compared.

RESULTS

PSMA uptake increased 1.5- to 2.0-fold in the xenograft mouse model after treatment with both orchiectomy and ARN-509 but not with vehicle. Patient imaging demonstrated a 7-fold increase in PSMA uptake after the initiation of ADT. Thirteen of 22 lesions in the imaged patient were visualized on PSMA PET only after treatment with ADT.

CONCLUSION

Inhibition of the AR can increase PSMA expression in prostate cancer metastases and increase the number of lesions visualized using PSMA PET. The effect seen in cell and animal models can be recapitulated in humans. A better understanding of the temporal changes in PSMA expression is needed to leverage this effect for both improved diagnosis and improved therapy.

BACKGROUND

Proton pump inhibitors (PPI) may decrease the availability of clopidogrel by competitive antagonism, leading to a potential increase in ischemic events.

METHODS

We evaluated patients from the all-comer PARIS registry treated with dual antiplatelet therapy (DAPT) with aspirin and clopidogrel following coronary stenting for outcomes stratified by PPI use. Two-year major adverse cardiovascular events (MACE), composite of cardiac death, myocardial infarction, definite or probable stent thrombosis or target lesion revascularization (TLR), and net adverse cardiac events (NACE), composite of MACE or Bleeding Academic Research consortium (BARC) type 3 or 5 bleeding were assessed. We also explored associations between PPI use and patterns of 2-year DAPT cessation.

RESULTS

The cohort comprised 4635 patients (23% PPI users) with mean age 64.4 ±11.4 years. Two year adjusted risk of MACE (HR: 1.27, 95% CI: 1.04-1.55), NACE (HR: 1.21, 95% CI: 1.01-1.44) and TLR (HR: 1.33, 95% CI: 1.04-1.71) were significantly higher in PPI users vs. non-users, without a difference in bleeding. Although the incidence of 2-year DAPT discontinuation and interruption was similar, DAPT disruption was significantly lower among PPI users vs. non-users (10.0% vs. 14.7%, P <0.0001). Compared to non-PPI users on continued DAPT, disruption was associated with higher MACE in both PPI users (HR: 2.34, 95% CI: 1.38-3.97) and non-users (HR: 1.41, 95% CI: 1.02-1.94) but greater BARC 3,5 bleeding only in non-PPI users (HR: 2.06, 95% CI: 1.21-3.51).

CONCLUSIONS

In clopidogrel treated PCI patients, the 2-year adjusted risk of MACE and NACE was significantly higher in PPI users driven by higher TLR compared to non-PPI users, without a difference in bleeding. PPI use was associated with lower incidence of DAPT disruption without an increase in disruption related bleeding compared to non-PPI users on DAPT. © 2016 Wiley Periodicals, Inc.

BACKGROUND

As little is known of association(s) between gut microbiota profiles and host immunological markers, we explored these in children with and without multiple sclerosis (MS).

METHODS

Children ≤18 years provided stool and blood. MS cases were within 2-years of onset. Fecal 16S rRNA gene profiles were generated on an Illumina Miseq platform. Peripheral blood mononuclear cells were isolated, and Treg (CD4CD25CD127FoxP3) frequency and CD4 T-cell intracellular cytokine production evaluated by flow cytometry. Associations between microbiota diversity, phylum-level abundances and immune markers were explored using Pearson's correlation and adjusted linear regression.

RESULTS

Twenty-four children (15 relapsing-remitting, nine controls), averaging 12.6 years were included. Seven were on a disease-modifying drug (DMD) at sample collection. Although immune markers (e.g. Th2, Th17, Tregs) did not differ between cases and controls (p > 0.05), divergent gut microbiota associations occurred; richness correlated positively with Th17 for cases (r = +0.665, p = 0.018), not controls (r = -0.644, p = 0.061). Bacteroidetes inversely associated with Th17 for cases (r = -0.719, p = 0.008), not controls (r = +0.320, p = 0.401). Fusobacteria correlated with Tregs for controls (r = +0.829, p = 0.006), not cases (r = -0.069, p = 0.808).

CONCLUSIONS

Our observations motivate further exploration to understand disruption of the microbiota-immune balance so early in the MS course.

BACKGROUND

Providers wish to help patients with prescription costs but often lack drug cost information. We examined whether giving providers formulary and drug cost information was associated with changes in their diabetes patients' drug costs and use. We conducted a longitudinal non-randomized evaluation of the web-based Prescribing Guide ( www.PrescribingGuide.com ), a free resource available to Hawaii's providers since 2006, which summarizes the formularies and copayments of six health plans for drugs to treat 16 common health conditions. All adult primary care physicians in Hawaii were offered the Prescribing Guide, and providers who enrolled received a link to the website and regular hardcopy updates.

METHODS

We analyzed prescription claims from a large health plan in Hawaii for 5,883 members with diabetes from 2007 (baseline) to 2009 (follow-up). Patients were linked to 299 "main prescribing" providers, who on average, accounted for >88 % of patients' prescriptions and drug costs. We compared changes in drug costs and use for "study" patients whose main provider enrolled to receive the Prescribing Guide, versus "control" patients whose main provider did not enroll to receive the Prescribing Guide.

RESULTS

In multivariate analyses controlling for provider specialty and clustering of patients by providers, both patient groups experienced similar increases in number of prescriptions (+3.2 vs. +2.7 increase, p = 0.24), and days supply of medications (+141 vs. +129 increase, p = 0.40) averaged across all drugs. Total and out-of-pocket drug costs also increased for both control and study patients. However, control patients showed higher increases in yearly total drug costs of $208 per patient (+$792 vs. +$584 increase, p = 0.02) and in 30-day supply costs (+$9.40 vs. +$6.08 increase, p = 0.03). Both groups experienced similar changes in yearly out-of-pocket costs (+$41 vs + $31 increase, p = 0.36) and per 30-day supply (-$0.23 vs. -$0.19 decrease, p = 0.996).

CONCLUSION

Giving formulary and drug cost information to providers was associated with lower increases in total drug costs but not with lower out-of-pocket costs or greater medication use. Insurers and health information technology businesses should continue to increase providers' access to formulary and drug cost information at the point of care.