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Discover 18,076 clinical trials near Pittsburgh, Pennsylvania. Find research studies in your area.
Showing 14641-14660 of 18,076 trials
NCT00275327
o determine if extended-spectrum beta-lactamases, plasmid-mediated AmpC beta-lactamases, carbapenemases, chromosomal mutations in ribosomal RNA or other mechanisms of resistance account for antibiotic resistance in commonly encountered Gram negative and Gram positive bacteria at UPMC. Also to determine the molecular epidemiology and in vitro susceptibility of multiply resistant organisms at UPMC and to relate this to antibiotic use in the institution.
NCT00363220
The purpose of this study is to review patients with E. coli infections at the University of Pittsburgh Medical Center (UPMC) from September 1, 2006 to August 31, 2007 to determine if these infections have arisen in the community rather than in hospitals or nursing homes. The occurrence of such resistant isolates could be devastating if they were associated with bloodstream infection, such as sometimes accompanies a urinary tract infection, since antibiotic resistant E. coli is not suspected in isolates coming from the community. Therefore, the aims of this study are to: 1. Review whether extended-spectrum beta-lactamase (ESBL)-producing organisms (E. coli, Klebsiella species and Proteus species) are hospital-acquired, healthcare-associated, or community-associated. 2. Investigate the prevalence of ESBL-positive E. coli in foodstuffs (beef, poultry, turkey, and pork), as a potential source for ESBL producers in the community. 3. Compare the clonal relationship of the genome and resistance plasmids carried by the ESBL-producing isolates (healthcare-associated, community-associated, and of animal origin) and study the associations of ESBL-mediated resistance with resistance to other classes of antimicrobials.
NCT00167336
This study will develop and refine an observational assessment tool called the Personal Computer Keyboard Style (PeCKS). When completed this assessment tool will provide researchers and clinicians with a valid and reliable method to describe computer keyboarding postures and kinematics. The proposed study will be divided into two phases. Phase I will be devoted to developing and refining an instrument, the Pre-PeCKS, into a valid and reliable data gathering observational tool. In Phase II the Pre-PeCKS will be used to develop a predictive model that can discriminate between those with and without MSD-UE. The model developed will be used to select the construction and weighting of the subscales of the final instrument, the PeCKS. Phase I - PeCKS psychometrics - reliability and validity Specific Aim 1: To evaluate inter- and intra-rater reliability and the concurrent criterion-related validity of the Pre-PeCKS. H.1.1 The Pre-PeCKS will demonstrate acceptable reliability for the following tests: H.1.1a. Intra-rater reliability (stability within one rater) H.1.1b. Inter-rater reliability (stability across raters) H.1.1c. Test of internal consistency (Cronbach's alpha) (stability across items) H.1.2 The Pre-PeCKS will demonstrate good concurrent criterion-related validity - Parameters selected by raters using the Pre-PeCKS will significantly correlate with biomechanical measures (VICON™ motion recording and analysis system and force plate): H.1.2.a. Angles and displacements identified by raters using the Pre-PeCKS will correlate with angles and displacements measured by the VICON™ motion recording and analysis system; H.1.2.b. Number of times spent performing actions as specified by raters using the Pre-PeCKS will correlate with number of times measured by a VICON™ motion recording and analysis system; H.1.2.c. Level of forceful keying as specified by raters using the Pre-PeCKS will correlate with levels of forceful keying measured with a force plate under the keyboard. Phase II - PeCKS psychometrics - diagnostic tool development Specific Aim 2: To use information gathered using the Pre-PeCKS to develop a diagnostic instrument that can identify those with and without MSD-UE. The major hypothesis related to Specific Aim 2 is: H.2.1. Using information gathered with the Pre-PeCKS and knowing the disease outcome of the subjects, predictive models can be developed that discriminate between those who do and do not have MSD-UE.