ABSTRACT
Carbapenem-resistant Enterobacteriaceae conferred by New Delhi metallo-b-lactamase (NDM-1) resistance mechanism are endemic in India and Southeast Asia. An understanding of risk factors for NDM-1 infections is necessary to guide prevention strategies. We performed a retrospective case-control study of patients admitted at Christian Medical College Hospital, Vellore, India between May 2010 and August 2014 with Klebsiella pneumoniae blood stream infection (BSI). We compared patients with BSI caused by NDM-1 producing strains to two control groups: BSI with other multidrug resistant (MDR) strains and BSI with pan-susceptible strains. The study groups were assessed for risk factors for the outcomes: (1) infection with any MDR strain compared to pan-susceptible; and, (2) infection with NDM-1 strain as compared with other MDR and (3) Mortality. A total of 101 patients with BSI with NDM-1 producing Klebsiella pneumoniae were matched to two groups of controls: 112 with non-NDM-1 MDR strains and 101 with pan-susceptible strains. Medical (OR 10.4) and neonatal (OR 0.7) ICU admission, central venous catheter placement (CVC, OR 7.4) predicted MDR BSI. Prior carbapenem use (OR 8.4) and CVC (OR 4.8) predicted acquisition of an NDM-1 strain. Significant predictors for mortality included ICU stay (OR 3.0), mechanical ventilation (OR 3.2), female gender (OR 2.2), diabetes (OR 0.4). CVC placement, prior carbapenem use and ICU admission were significantly associated with BSI with NDM-1 producing and other MDR strains.
Subject(s)
Bacteremia/epidemiology , Carbapenem-Resistant Enterobacteriaceae/isolation & purification , Klebsiella Infections/epidemiology , Klebsiella pneumoniae/isolation & purification , beta-Lactamases/genetics , Adolescent , Adult , Aged , Aged, 80 and over , Bacteremia/microbiology , Bacteremia/mortality , Carbapenem-Resistant Enterobacteriaceae/enzymology , Case-Control Studies , Child , Child, Preschool , Female , Humans , India/epidemiology , Infant , Infant, Newborn , Klebsiella Infections/microbiology , Klebsiella Infections/mortality , Klebsiella pneumoniae/enzymology , Male , Middle Aged , Retrospective Studies , Risk Factors , Survival Analysis , Young AdultABSTRACT
Incarceration provides an opportunity to test for HIV, provide treatment such as highly active anti-retroviral therapy, as well as link infected persons to comprehensive HIV care upon their release. A key factor in assessing the success of a program that links released individuals to care is the time from release to receiving care in the community (linkage time). To estimate the linkage time, records from correction systems are linked to Ryan White Clinic data using encrypted Unique Client Identifier (eUCI). Most of the records that were linked using eUCI belong to the same individual; however, in some cases, it may link records incorrectly, or not identify records that should have been linked. We propose a Bayesian procedure that relies on the relationships between variables that appear in either of the data sources, as well as variables that exists in both to identify correctly linked records among all linked records. The procedure generates K datasets in which each pair of linked records is identified as a true link or a false link. The K datasets are analyzed independently, and the results are combined using Rubin's multiple imputation rules. A small validation dataset is used to examine different statistical models and to inform the prior distributions of the parameters. In comparison with previously proposed methods, the proposed method utilizes all of the available data and is both flexible and computationally efficient. In addition, this approach can be applied in other file linking applications.
Subject(s)
HIV Infections/diagnosis , Medical Record Linkage/methods , Patient Identification Systems/methods , Prisoners , Antiretroviral Therapy, Highly Active , Bayes Theorem , Biostatistics/methods , Community Health Services/methods , Community Health Services/statistics & numerical data , Computer Simulation , Confidentiality , HIV Infections/drug therapy , Humans , Models, Statistical , Patient Identification Systems/statistics & numerical data , Time-to-Treatment/statistics & numerical dataABSTRACT
PURPOSE: In the USA, the burden of hepatitis B disproportionately affects high-risk adults who alone account for more than 75% of newly reported hepatitis B virus infections each year. Despite the localization of new infections in identifiable high-risk groups, vaccination rates in this subgroup, with the exception of health care workers, remain consistently low. The purpose of this study was to characterize those at risk for hepatitis B transmission and quantify the association between missed opportunities and hepatitis B vaccination. METHODS: Data from the 2007 Behavioral Risk Factor Surveillance Survey (BRFSS) of adults aged 18 years and older who were at high risk for hepatitis B infection (n = 15,432) were analyzed. Multivariate regression analysis was conducted to determine factors independently associated with vaccination. RESULTS: In a nationally representative sample, 51.4% of high-risk adults remained unvaccinated against hepatitis B and more than 50% had a missed opportunity for vaccination. High-risk adults who were vaccinated against pneumonia and influenza had a higher odds ratio of being vaccinated against hepatitis B than those not vaccinated against pneumonia and influenza (OR 2.27 and 1.67, respectively). Also, high-risk adults tested for human immunodeficiency virus (HIV) at a counseling and testing site or a drug treatment facility had a higher OR of being vaccinated than those who had not been tested for HIV (OR 1.78 and 1.73, respectively). The opposite relationship was true among individuals tested for HIV at a correctional facility (OR 0.60). CONCLUSIONS: The findings of this study underscore the inadequacy of vaccination coverage in high-risk adults and highlight advantageous opportunities to bridge gaps in vaccination coverage.
