Hoganbennedsen3357

Despite a known benefit in the reduction of cardiovascular risk, adherence to statins remains suboptimal. A qualitative analysis was conducted within an intervention that identified trajectories of statin adherence in patients and used motivational interviewing (MoI) to improve adherence. The objective of this qualitative study was to evaluate transcripts of an MoI telephonic intervention to identify potential, past, and current barriers to statin adherence and barriers specific to distinct adherence trajectories.

The MoI intervention was customized by past 1-year adherence trajectories (rapid discontinuation, gradual decline, and gaps in adherence). Two authors independently extracted and documented barriers from phone transcripts. Themes were derived from literature a priori and by cataloging recurring themes from the transcripts.

The transcripts of calls made to 157 patients were reviewed of which 25.2% did not communicate a specific adherence barrier despite falling into a low-adherence trajectory wtudy identified patient-reported barriers to statin adherence elicited during an MoI telephonic intervention conducted by student pharmacists. There were differences in barriers reported by patients from each trajectory, which emphasize the need for additional tailored interventions to improve patient adherence.Systemic racism is a public health emergency and disproportionately impacts communities of color, specifically black Americans. Pharmacists took an oath to protect the welfare of humanity and protect our patients. As such, to practice truly patient-centered care, pharmacists must recognize racism as a root cause of social determinants of health and use their privilege to educate themselves and their colleagues around dismantling structural racism.

Pharmacovigilance is a critical component to facilitate clinicians' decision-making to alter or discontinue therapy. However, self-administration of oral targeted therapy (OTT) requires fewer clinical visits than parenteral infusions, potentially leading to an increase in the under-reporting of adverse drug reactions (ADRs).

To identify factors associated with patients reporting ADRs to their health care provider (HCP) and to identify the prevalence of unreported ADRs while on OTT.

Patients aged ≥18 years who received care from a community oncology clinic and newly prescribed an OTT between August 1, 2018, and October 31, 2018, were included. Six-monthly follow-up calls were conducted by the pharmacy staff to assess for gradable ADRs-validated by the NCI Common Terminology Criteria for Adverse Events-and ungradable ADRs. Descriptive analysis was used to analyze the prevalence of unreporting ADRs, and a multivariate logistic regression model was utilized to evaluate predictors of reporting ADRs to an HCPder population.

Follow-up calls served as an outlet to collect pharmacovigilance data by identifying over 20% of unreported ADRs to HCPs, in which over one-third were moderate to severe. However, future studies are needed to further understand the statistically significant differences found in under-reporting for women and the older population.

Aim of this study is to evaluate the predictive ability of Fried Frailty Score for surgical outcomes in patients undergoing gynecologic cancer surgery.

This is a prospective cohort study at an academic gynecological cancer center from Oct 2015 through Jan 2017. We applied systematically numerous screening tools, geriatric questionnaires and single measurements which may provide predictions for surgical outcomes. TAK-901 We classified frailty according to the Fried definition and surgical complications were graded according Clavien-Dindo criteria. Using logistic regression analysis, we identified predictive clinical variables for postoperative complications (POC).

Overall 226 patients were enrolled (median age 59years, range 18-87years). The prevalence of frailty based on the presence of three or more frailty criteria was 14.2%, the presence of one or two frailty criteria was classified as prefrail with 59.4% and without any presence as robust with 26.5%. Within 30days of surgery, nine (3.8%) patients have died and 40 (18.3%) experienced a grade≥IIIb complication. In the regression analysis obesity (OR 5.37, 95% CI 1.99-14.49, p=0.001) as well as ECOG >1 (OR 4.32, 95% CI 1.28-1.55, p=0.018) and Albumin<3.6g/dl (OR 3.88, 95% CI 1.37-10.98, p=0.011) emerged as significant predictors of postoperative complications (POC). Fried Frailty Score (OR 2.41, 95% CI 0.91-6.41, p=0.077) showed no significant additional predictive value.

Fried Frailty Score could help the surgeon to estimate the risk for POC among patients undergoing gynecologic cancer surgery. But preoperatively determined ECOG, BMI and Albumin can predict severe POC in patients undergoing gynecologic surgery more precisely and should be assessed routinely.

Fried Frailty Score could help the surgeon to estimate the risk for POC among patients undergoing gynecologic cancer surgery. But preoperatively determined ECOG, BMI and Albumin can predict severe POC in patients undergoing gynecologic surgery more precisely and should be assessed routinely.

The number of very old patients admitted to intensive care units for acute coronary syndromes has increased gradually, but these patients are under-represented in randomized clinical trials.

The aim of this study was to analyse mortality of nonagenarians compared with octogenarians admitted to an intensive care unit for acute coronary syndromes, to describe their management and to identify prognostic factors.

Patients aged≥80years admitted to an intensive care unit (Croix-Rousse University Hospital, Lyon) with a diagnosis of acute coronary syndrome from 1 January 2013 to 31 December 2016 were included retrospectively. After exclusion of type 2 acute coronary syndromes, the data for 311 octogenarians and 92 nonagenarians were analysed using Kaplan-Meier curves and a multivariable Cox regression model.

More than 70% of patients received renin-angiotensin-system blockers, beta-blockers and statins, without significant difference between nonagenarians and octogenarians. Nonagenarians were treated significantly less frequently with ticagrelor than octogenarians (P=0.