Citations

ABSTRACTProtein‐resistant polyethylene‐block‐poly(ethylene glycol) (PE‐b‐PEG) copolymers of different molecular weights at various concentrations were compounded by melt blending with polypropylene (PP) polymers in order to enhance their antifouling properties. Phase separation of the PE‐b‐PEG copolymer and its migration to the surface of the PP blend, was confirmed by attenuated total reflectance–Fourier transform infrared, X‐ray photoelectron spectroscopy, and static water contact angle measurements. Enrichment of PEG chains at the surface of the blends increased with increasing PE‐b‐PEG copolymer concentration and molecular weight. The PP blends compounded with PE‐b‐PEG copolymer having the lowest molecular weight (875 g mol−1), at the lowest concentration (1 wt %), gave the lowest bovine serum protein adsorption (30% less) compared to that of neat PP. At higher concentrations (5 and 10 wt %), and higher molecular weights (920, 1400, and 2250 g mol−1), the PE‐b‐PEG copolymers leached‐out resulting in protein adsorption comparable to that of neat PP. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46122.

Patient-reported outcomes (PROs) provide information on how health care affects patient health and well-being and represent a patient-centered approach. Despite this potential, PROs are not widely used in clinical settings. Semi-structured focus groups were conducted with 3 stakeholder groups (patients, providers, and health care administrators) to determine the top 5 perceived barriers and benefits of PRO implementation. The Delphi technique was employed to obtain consensus and rank order responses. Patients perceived survey length to be important, whereas providers and administrators perceived time to collect data and patient health literacy, respectively, as the greatest barriers to PRO implementation. The greatest perceived benefits were the ability to track changes in clinical symptoms over time, improved quality of care, and better disease control among patients, providers, and administrators, respectively. These results may guide the development of novel frameworks for PRO implementation by addressing perceived barriers and building on the perceived benefits to encourage adoption of PROs.

Abstract Electronic medical records (EMRs) have gained widespread use in clinical practice and by default serve as a large patient database with potential for use in clinical research. Although there remains significant interest in leveraging EMRs for research purposes, extraction of data has proven to be complex and with insufficient accuracy. We describe the limitations of an EMR in our attempt to conduct a seemingly simple study aimed at validating variables identified in the PRECiSE 3, a 7-year open label safety and efficacy study of certolizumab pegol in Crohn’s disease that identified clinical factors that predicted both short- and long-term efficacy. A multicenter, retrospective cohort study from 8 academic and large community practices was performed, and data were collected from each respective EMR. Significant challenges with reliable capture of key data elements were encountered, and overall a screen fail rate of 91.8% across all sites was seen. We describe these challenges and potential future directions to work together to advance accuracy and implementation of the use of EMRs in inflammatory bowel disease.

Background: Identification of people with hypertrophic cardiomyopathy (HCM) who are at risk of sudden cardiac death (SCD) and require a prophylactic implantable cardioverter defibrillator is challenging. In 2014, the European Society of Cardiology proposed a new risk stratification method based on a risk prediction model (HCM Risk-SCD) that estimates the 5-year risk of SCD. The aim was to externally validate the 2014 European Society of Cardiology recommendations in a geographically diverse cohort of patients recruited from the United States, Europe, the Middle East, and Asia. Methods: This was an observational, retrospective, longitudinal cohort study. Results: The cohort consisted of 3703 patients. Seventy three (2%) patients reached the SCD end point within 5 years of follow-up (5-year incidence, 2.4% [95% confidence interval {CI}, 1.9–3.0]). The validation study revealed a calibration slope of 1.02 (95% CI, 0.93–1.12), C-index of 0.70 (95% CI, 0.68–0.72), and D-statistic of 1.17 (95% CI, 1.05–1.29). In a complete case analysis (n= 2147; 44 SCD end points at 5 years), patients with a predicted 5-year risk of <4% (n=1524; 71%) had an observed 5-year SCD incidence of 1.4% (95% CI, 0.8–2.2); patients with a predicted risk of ≥6% (n=297; 14%) had an observed SCD incidence of 8.9% (95% CI, 5.96–13.1) at 5 years. For every 13 (297/23) implantable cardioverter defibrillator implantations in patients with an estimated 5-year SCD risk ≥6%, 1 patient can potentially be saved from SCD. Conclusions: This study confirms that the HCM Risk-SCD model provides accurate prognostic information that can be used to target implantable cardioverter defibrillator therapy in patients at the highest risk of SCD.

Key Points Rd continuous significantly extended OS compared with MPT and resulted in comparable OS to that with Rd18 in patients with multiple myeloma. Patients achieving complete or very good partial response with Rd benefited greatly from continuous vs fixed treatment in terms of PFS.

OBJECTIVE Intensive treatment (INT) of type 1 diabetes reduces the incidence of cardiovascular disease (CVD) events compared with conventional treatment (CONV), but it also results in more weight gain. Our objective was to examine whether excessive weight gain from INT of type 1 diabetes is independently associated with subsequent CVD events. RESEARCH DESIGN AND METHODS Quartiles (Q) of weight gain in 1,213 participants aged 18 years and older at enrollment in the Diabetes Control and Complications Trial (DCCT) were determined within randomized treatment groups (INT vs. CONV) using change in BMI from baseline to the closeout DCCT visits. Effects of this weight gain on CVD risk factors and outcomes during an additional 20 years of observational follow-up were then determined. RESULTS The Q4 INT group experienced greater proportional weight gain (median change in BMI, 6.08 kg/m2), increases in CVD risk factors, and need for medications for hypertension and lipids compared with the Q1–3 INT and comparable CONV groups. Over a mean of 26 years of follow-up, the numbers of major and total CVD events were not statistically different in Q4 compared with Q1–3 of either the INT or CONV group. By year 14, however, the incident CVD event curve became significantly higher in the Q4 INT group than in the Q1–3 INT groups (P = 0.024) and was similar to that for the CONV group. CONCLUSIONS For the first 13 years after DCCT, INT for type 1 diabetes reduced macrovascular events compared with CONV, even when excessive weight gain occurred. After this, total CVD events significantly increased in the Q4 INT group, becoming equivalent to those in the CONV group. Longer follow-up is needed to determine whether this trend continues and results in more major CVD events.