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BackgroundMonitoring antiretroviral drug resistance can inform treatment recommendations; however, there are few such data from US patients before they initiate ART.MethodsWe analysed data from HIV Outpatient Study (HOPS) participants from nine US HIV clinics who were diagnosed with HIV infection during 1999–2011. Using the IAS-USA December 2010 guidelines, we assessed the frequency of major drug resistance mutations (mDRMs) related to antiretroviral agents in viral isolates from patients who underwent commercial genotypic testing (GT) for resistance before initiating ART. We employed general linear regression models to assess factors associated with having undergone GT, and then factors associated with having mDRM.ResultsAmong 1531 eligible patients, 758 (49.5%) underwent GT before first ART, increasing from 15.5% in 1999–2002 to 75.9% in 2009–11 (P 5.0 log10 copies/mL and those with a first HOPS visit in 2006 or later were significantly (P ConclusionsDuring 1999–2011, GT use among antiretroviral-naive patients became more common, but a quarter of patients in recent years remained untested. The frequency of mDRMs remained stable over time at about 15%.

One goal of the HIV care continuum is achieving viral suppression (VS), yet disparities in suppression exist among subpopulations of HIV-infected persons. We sought to identify disparities in both the ability to achieve and sustain VS among an urban cohort of HIV-infected persons in care. Data from HIV-infected persons enrolled at the 13 DC Cohort study clinical sites between January 2011 and June 2014 were analyzed. Univariate and multivariate logistic regression were conducted to identify factors associated with achieving VS (viral load 200 copies/ml) at least once, and Kaplan-Meier (KM) curves and Cox proportional hazards models were used to identify factors associated with sustaining VS and time to virologic failure (VL ≥ 200 copies/ml after achievement of VS). Among the 4311 participants, 95.4% were either virally suppressed at study enrollment or able to achieve VS during the follow-up period. In multivariate analyses, achieving VS was significantly associated with age (aOR: 1.04; 95%CI: 1.03-1.06 per five-year increase) and having a higher CD4 (aOR: 1.05, 95% CI 1.04-1.06 per 100 cells/mm(3)). Patients infected through perinatal transmission were less likely to achieve VS compared to MSM patients (aOR: 0.63, 95% CI 0.51-0.79). Once achieved, most participants (74.4%) sustained VS during follow-up. Blacks and perinatally infected persons were less likely to have sustained VS in KM survival analysis (log rank chi-square p ≤ .001 for both) compared to other races and risk groups. Earlier time to failure was observed among females, Blacks, publically insured, perinatally infected, those with longer standing HIV infection, and those with diagnoses of mental health issues or depression. Among this HIV-infected cohort, most people achieved and maintained VS; however, disparities exist with regard to patient age, race, HIV transmission risk, and co-morbid conditions. Identifying populations with disparate outcomes allows for appropriate targeting of resources to improve outcomes along the care continuum.

Real-world data on patients treated with echinocandins for candidemia are limited. This study examined the effect of three echinocandin-based treatment regimens on resource utilization in patients with Candida infection.A retrospective cohort study of patients hospitalized between 2005 and 2010 with a blood culture positive for Candida. Length of stay (LOS) following AF initiation (post-AF LOS) and total days with AF treatment were compared in patients treated with three different echinocandin regimens: patients with echinocandin only, patients who received fluconazole prior to an echinocandin (fluconazole-echinocandin), and patients who received an echinocandin prior to fluconazole (echinocandin-fluconazole). Generalized linear models were used to adjust for confounders.A total of 647 patients met inclusion criteria. Patients treated with echinocandin only were more acutely ill, having more organ dysfunction and sepsis. Unadjusted post-AF LOS was significantly greater in the groups that received both echinocandin and fluconazole (mean, 13.1 days for echinocandin-only vs 25.5 and 21.2 days for fluconazole-echinocandin and echinocandin-fluconazole groups, respectively, p0.001). These groups also had a higher total number of days with AF orders. These differences remained after multivariate adjustment and in survivor-only analyses. Compared with echinocandin-only treatment, the average marginal effect of fluconazole-echinocandin and echinocandin-fluconazole regimens were associated with significantly longer adjusted post-AF LOS (by 7.2 days and 9.3 days, respectively, p0.001) and significantly more adjusted total AF days (by 5.3 days for fluconazole-echinocandin and 6.5 days for echinocandin-fluconazole patients, p0.001). Limitations included lack of visibility to specific reasons for therapy changes.Fluconazole before or after echinocandin was associated with significantly greater resource utilization than echinocandin use alone.

Background Elderly adults should avoid medications with anticholinergic effects since they may increase the risk of adverse events, including falls, delirium, and cognitive impairment. However, data on anticholinergic burden are limited in subpopulations, such as individuals with Parkinson disease (PD). The objective of this study was to determine whether anticholinergic burden was associated with adverse outcomes in a PD inpatient population. Methods Using the Cerner Health Facts1database, we retrospectively examined anticholinergic medication use, diagnoses, and hospital revisits within a cohort of 16,302 PD inpatients admitted to a Cerner hospital between 2000 and 2011. Anticholinergic burden was computed using the Anticholinergic Risk Scale (ARS). Primary outcomes were associations between ARS score and diagnosis of fracture and delirium. Secondary outcomes included associations between ARS score and 30-day hospital revisits. Results Many individuals (57.8%) were prescribed non-PD medications with moderate to very strong anticholinergic potential. Individuals with the greatest ARS score (4) were morelikely to be diagnosed with fractures (adjusted odds ratio (AOR): 1.56, 95% CI: 1.29-1.88) and delirium (AOR: 1.61, 95% CI: 1.08-2.40) relative to those with no anticholinergic burden. Similarly, inpatients with the greatest ARS score were more likely to visit the emergency department (adjusted hazard ratio (AHR): 1.32, 95% CI: 1.10-1.58) and be readmitted (AHR: 1.16, 95% CI: 1.01-1.33) within 30-days of discharge. Conclusions We found a positive association between increased anticholinergic burden and adverse outcomes among individuals with PD. Additional pharmacovigilance studies are needed to better understand risks associated with anticholinergic medication use in PD. Fil: Crispo, James A. G.. University of Ottawa; Canadá. University of Pennsylvania; Estados Unidos Fil: Willis, Allison W.. University of Pennsylvania; Estados Unidos Fil: Thibault, Dylan P.. University of Pennsylvania; Estados Unidos. University of Ottawa; Canadá Fil: Fortin, Yannick. University of Ottawa; Canadá Fil: Hays, Harlen D.. Cerner Corporation; Estados Unidos Fil: McNair, Douglas S.. Cerner Corporation; Estados Unidos Fil: Bjerre, Lise M.. University of Ottawa; Canadá Fil: Kohen, Dafna E.. University of Ottawa; Canadá Fil: Pérez Lloret, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Cardiológicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Cardiológicas; Argentina Fil: Mattison, Donald R.. University of Ottawa; Canadá. Risk Sciences International; Canadá Fil: Krewski, Daniel. University of Ottawa; Canadá. Risk Sciences International; Canadá

Objectives We sought to evaluate associations between CD4 at ART initiation (AI), achieving CD4 >750 cells/mm3 (CD4 >750), long-term immunological recovery and survival. Methods This was a prospective observational cohort study. We analysed data from ART-naive patients seen in 1996–2012 and followed ≥3 years after AI. We used Kaplan–Meier (KM) methods and log-rank tests to compare time to achieving CD4 >750 by CD4 at AI (CD4-AI); and Cox regression models and generalized estimating equations to identify factors associated with achieving CD4 >750 and mortality risk. Results Of 1327 patients, followed for a median of 7.9 years, >85% received ART for ≥75% of follow-up time; 64 died. KM estimates evaluating likelihood of CD4 >750 during 5 years of follow-up, stratified by CD4-AI 750 [adjusted HR (aHR) = 4.77]. Blacks were less likely than whites to achieve CD4 >750 (33% versus 49%, aHR = 0.77). Mortality rates decreased with increasing CD4-AI (P = 0.004 across CD4 strata for AIDS causes and P = 0.009 for non-AIDS death causes). Among decedents with CD4-AI ≥50, 56% of deaths were due to non-AIDS causes. Conclusions Higher CD4-AI resulted in greater long-term CD4 gains, likelihood of achieving CD4 >750, longer survival and decreased mortality regardless of cause. Over 80% of persons with CD4-AI ≥350 achieved CD4 >750 by 4 years while 75% of persons with CD4-AI

Background Methicillin-resistant Staphylococcus aureus (MRSA) is a frequent cause of complicated skin and skin structure infections (cSSSI). Patients with MRSA require different empiric treatment than those with non-MRSA infections, yet no accurate tools exist to aid in stratifying the risk for a MRSA cSSSI. We sought to develop a simple bedside decision rule to tailor empiric coverage more accurately. Methods We conducted a large multicenter (N=62 hospitals) retrospective cohort study in a US-based database between April 2005 and March 2009. All adult initial admissions with ICD-9-CM codes specific to cSSSI were included. Patients admitted with MRSA vs. non-MRSA were compared with regard to baseline demographic, clinical and hospital characteristics. We developed and validated a model to predict the risk of MRSA, and compared its performance via sensitivity, specificity and other classification statistics to the healthcare-associated (HCA) infection risk factors. Results Of the 7,183 patients with cSSSI, 2,387 (33.2%) had MRSA. Factors discriminating MRSA from non-MRSA were age, African-American race, no evidence of diabetes mellitus, cancer or renal dysfunction, and prior history of cardiac dysrhythmia. The score ranging from 0 to 8 points exhibited a consistent dose–response relationship. A MRSA score of 5 or higher was superior to the HCA classification in all characteristics, while that of 4 or higher was superior on all metrics except specificity. Conclusions MRSA is present in 1/3 of all hospitalized cSSSI. A simple bedside risk score can help discriminate the risk for MRSA vs. other pathogens with improved accuracy compared to the HCA definition.