Scott D. Nelson

The clinical epidemiology of male osteoporosis: a review of the recent literature

Osteoporosis, a musculoskeletal disease characterized by decreased bone mineral density (BMD) and an increased risk of fragility fractures, is now recognized as an important public health problem in men. Osteoporotic fractures, particularly of the hip, result in significant morbidity and mortality in men and lead to considerable societal costs. Many national and international organizations now address screening and treatment for men in their osteoporosis clinical guidelines. However, male osteoporosis remains largely underdiagnosed and undertreated. The objective of this paper is to provide an overview of recent findings in male osteoporosis, including pathophysiology, epidemiology, and incidence and burden of fracture, and discuss current knowledge about the evaluation and treatment of osteoporosis in males. In particular, clinical practice guidelines, fracture risk assessment, and evidence of treatment effectiveness in men are addressed.

The Magnitude of Time-Dependent Bias in the Estimation of Excess Length of Stay Attributable to Healthcare-Associated Infections.

BACKGROUND Estimates of the excess length of stay (LOS) attributable to healthcare-associated infections (HAIs) in which total LOS of patients with and without HAIs are biased because of failure to account for the timing of infection. Alternate methods that appropriately treat HAI as a time-varying exposure are multistate models and cohort studies, which match regarding the time of infection. We examined the magnitude of this time-dependent bias in published studies that compared different methodological approaches. METHODS We conducted a systematic review of the published literature to identify studies that report attributable LOS estimates using both total LOS (time-fixed) methods and either multistate models or matching patients with and without HAIs using the timing of infection. RESULTS Of the 7 studies that compared time-fixed methods to multistate models, conventional methods resulted in estimates of the LOS to HAIs that were, on average, 9.4 days longer or 238% greater than those generated using multistate models. Of the 5 studies that compared time-fixed methods to matching on timing of infection, conventional methods resulted in estimates of the LOS to HAIs that were, on average, 12.6 days longer or 139% greater than those generated by matching on timing of infection. CONCLUSION Our results suggest that estimates of the attributable LOS due to HAIs depend heavily on the methods used to generate those estimates. Overestimation of this effect can lead to incorrect assumptions of the likely cost savings from HAI prevention measures.

The Pharmacist and the EHR

The adoption of electronic health records (EHRs) across the United States has impacted the methods by which health care professionals care for their patients. It is not always recognized, however, that pharmacists also actively use advanced functionality within the EHR. As critical members of the health care team, pharmacists utilize many different features of the EHR. The literature focuses on 3 main roles: documentation, medication reconciliation, and patient evaluation and monitoring. As health information technology proliferates, it is imperative that pharmacists’ workflow and information needs are met within the EHR to optimize medication therapy quality, team communication, and patient outcomes.

The use of natural language processing of infusion notes to identify outpatient infusions

Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispensing data sets. Currently, Healthcare Common Procedure Coding System (HCPCS) codes are used to identify outpatient infusions, but concerns exist if they correctly capture all infusions and infusion‐related data such as dose and date of administration. We developed natural language processing (NLP) software to extract infusion information from medical text infusion notes. The objective was to compare the sensitivity of three approaches to identify infliximab administration dates and infusion doses against a reference standard established from the Veterans Affairs rheumatoid arthritis (VARA) registry.

Icosapent Ethyl for Treatment of Elevated Triglyceride Levels

Objectives: To review the pharmacology, pharmacokinetics, clinical trial data, adverse effects, and formulary considerations of icosapent ethyl for the treatment of high triglyceride (TG) levels. Data Sources: A literature search with keywords Vascepa, icosapent ethyl, AMR101, and eicosapentaenoic acid of articles up to July 2013, along with the package insert for Vascepa and current guidelines for hypertriglyceridemia. Study Selection/Data Extraction: Two phase-III, placebo-controlled, randomized, double-blind, 12-week clinical trials were included in this review: the MARINE trial and ANCHOR study. The MARINE trial consisted of mainly overweight Caucasian men with fasting TG ≥500 and ≤2000 mg/dL taking 4 g/day icosapent ethyl, 2 g/day, or placebo. The ANCHOR study consisted of mainly overweight Caucasians with type-2 diabetes mellitus on statin therapy, with fasting TG ≥200 and <500 mg/dL taking 4 g/day icosapent ethyl, 2 g/day, or placebo. Data Synthesis: The MARINE trial showed a placebo-corrected median decrease in TG of 33.1% for patients receiving 4 g/day icosapent ethyl, with no significant change in low-density lipoprotein cholesterol (LDL-C) levels. TG was reduced by 19.7% in those taking 2 g/day. The ANCHOR study showed a placebo-corrected decrease in TG of 21.5% with a 6.3% decrease in LDL-C for patients taking 4 g/day icosapent ethyl as add-on to statin therapy. TG was reduced by 10.1% in those taking 2 g/day. The main adverse effect observed was joint pain (2.3%). Conclusions: Icosapent ethyl is effective in reducing TG levels without increasing LDL-C, and has efficacy similar to other TG-lowering therapies with fewer adverse effects or interactions.

Costs and Mortality Associated With Multidrug-Resistant Healthcare-Associated Acinetobacter Infections.

BACKGROUND Our objective was to estimate the per-infection and cumulative mortality and cost burden of multidrug-resistant (MDR) Acinetobacter healthcare-associated infections (HAIs) in the United States using data from published studies. METHODS We identified studies that estimated the excess cost, length of stay (LOS), or mortality attributable to MDR Acinetobacter HAIs. We generated estimates of the cost per HAI using 3 methods: (1) overall cost estimates, (2) multiplying LOS estimates by a cost per inpatient-day (

Calculating the refractive index for pediatric parenteral nutrient solutions

4,350) from the payer perspective, and (3) multiplying LOS estimates by a cost per inpatient-day from the hospital (

Nonoperative management of adhesive small bowel obstruction: what is the break point?

2,030) perspective. We deflated our estimates for time-dependent bias using an adjustment factor derived from studies that estimated attributable LOS using both time-fixed methods and either multistate models (70.4% decrease) or matching patients with and without HAIs using the timing of infection (47.4% decrease). Finally, we used the incidence rate of MDR Acinetobacter HAIs to generate cumulative incidence, cost, and mortality associated with these infections. RESULTS Our estimates of the cost per infection were

An Economic Analysis of Adherence Engineering to Improve Use of Best Practices during Central Line Maintenance Procedures

129,917 (method 1),

Information needs for making clinical recommendations about potential drug-drug interactions: a synthesis of literature review and interviews

72,025 (method 2), and