Lines for Max. Impact and Size Insert Title at minimum of 72-80 pt Font; Larger if Possible. Don’t use ALL CAPS. Break into Multiple Lines for Max. Impact and Size Contact Information: Name University of Houston Phone: (713) ###-#### Email: Insert co-author affiliation logo here if there is one or delete this textbox T Insert Poster# Insert Author Name(s) 1University of Houston College of Pharmacy; [2Insert co-presenter’s affiliation] Houston, TX ABSTRACT THEORETICAL MODEL RESULTS Background: Fusce nisi odio, interdum vitae elementum vitae, condimentum ut nunc. Sed dictum posuere augue in gravida. Donec in massa nunc. Methods: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris vitae turpis diam, et semper odio. Nulla facilisis gravida libero non egestas. Etiam quis sem nibh, vel tincidunt erat Results: A liquam sed lacinia nulla. Maecenas vulputate, dui eget suscipit volutpat, felis urna faucibus nisl, sit amet malesuada lorem orci sit amet dolor. Nunc condimentum imperdiet interdum. Nam fermentum sodales enim, nec commodo nisi fermentum eu. Conclusions: Suspendisse potenti. Nam eget lacus et dui dignissim rhoncus. Pellentesque elementum interdum risus, at porttitor massa sagittis scelerisque. Phasellus ac nisi sed sapien vehicula luctus eu nec libero. Figure 1. Conceptual Model Figure 2. Suspendisse semper vestibulum sem Lorem Ipsum Semper Variusa varius mauris quis luctus Mauris sagittis a Nulla neque sem, eleifend non pulvinar eget. RESULTS Table 1. Demographics Comments Item Category Non-Users, N (%)a Users, N (%)a Amet Female Male 28 (48.3) 30 (51.7) 4 (23.5) 13 (76.5) Magna Attending Resident Fellow 24 (41.4) 26 (44.8) 8 (13.8) 14 (82.4) 2 (11.8) 1 (5.9) To display the menu Academic EDb Community ED 50 (86.2) 6 (40.0) 9 (60.0) Malesuada orci vel enim commodo sagittis et vel nulla. Yes No 6 (10.5) 51 (89.5) 14 (87.5) 2 (12.5) Nam malesuada massa id hendrerit eleifend. Nullam malesuada magna sit amet nisi euismod, in aliquet est feugiat. Nam non lacus rutrum, viverra velit sit amet, accumsan massa. Pellentesque ac enim luctus, euismod tortor pulvinar, laoreet nisl. BACKGROUND Suspendisse purus mauris, viverra id mollis at, hendrerit ut libero. Aliquam odio mi, ultricies vitae auctor sed, tempor eu est. Quisque nibh nisi, hendrerit non ultricies vel, dignissim vitae. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Suspendisse potenti. Nam eget lacus et dui dignissim rhoncus. Pellentesque elementum interdum risus, at porttitor massa sagittis scelerisque. Figure 3. Intent ion a Percentages may not add to 100% due to rounding. b ED=Emergency Department. Cras et enim ac magna tristique sollicitudin. Etiam volutpat turpis sit amet nisl laoreet vehicula. Cras rhoncus enim congue scelerisque suscipit. Suspendisse vel ante euismod, malesuada urna nec, rutrum lacus. Nam ut mauris in sapien varius ullamcorper ut nec diam. Nunc suscipit lacus id rutrum mollis. Sed egestas massa quis lorem sagittis semper. Quisque quis lectus vel turpis luctus auctor. Etiam quis lorem sed velit iaculis faucibus. Etiam pharetra nunc vitae metus gravida, ut gravida orci convallis. Vestibulum dignissim risus eu ante iaculis dictum. Nulla ultrices lacus vel risus blandit adipiscing. OBJECTIVE LIMITATIONS Cras hendrerit blandit libero non sagittis. Donec placerat nibh sed risus tempus tristique. Ipsa scientia potestas est. Cras hendrerit blandit libero non sagittis. Donec placerat nibh sed risus tempus tristique. Pellentesque et arcu in ante sollicitudin lacinia lobortis at odio. Sed pellentesque dui id egestas accumsan. Nulla eget augue eget lacus vehicula vestibulum nec vulputate nibh. Suspendisse id lorem ac lacus elementum sollicitudin. Proin a ipsum euismod, dictum magna eu, faucibus purus Table 3. Patient Demographics Variable Diabetics n = 66 Non-Diabetics n = 110 p Age (years) 59.8 ± 11.7 62.8 ± 15 0.140 Male gender 57.8% 50.9% 0.437 Caucasian 43.9% 57.3% 0.090 LOS before Cx 18.7 ± 32.5 20.7 ± 35.1 0.704 APACHE II 13.4 ± 5.1 13.8 ± 7.6 0.477 > 1 active agent used empirically 24.2% 38.2% 0.069 Mortality 10.7% 22.7% 0.046 METHODS Study design Mauris sed urna vel sem auctor blandit. Phasellus sollicitudin nisi sed nisi et. Data collection Mauris sed urna vel sem auctor blandit. Phasellus sollicitudin nisi sed nisi et. Theoretical model Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed sit amet augue sem, vitae aliquet dolor. Aenean ac arcu lacus, et condimentum diam. Suspendisse cursus tellus et elit egestas et blandit justo aliquet from January 1, 2006 – December 31, 2009 Statistical analysis All construct items were reported on a 5-point Likert scale with 1=strongly disagree to 5=strongly agree Descriptive statistics were performed using SAS 9.3 A priori statistical significance was set at p<0.05 CONCLUSION Nullam tristique facilisis malesuada. Aliquam quis ultrices purus. Curabitur luctus a eros condimentum imperdiet. Nunc vehicula hendrerit lobortis. Ut placerat iaculis mi blandit consequat. Donec quis tellus in libero pellentesque imperdiet. Aenean quis euismod massa. Maecenas gravida leo elit, sed posuere est cursus ut. Vivamus semper tortor vitae leo malesuada, vitae dictum Table 4. Multivariate analysis of risk factors Variables OR (95% CI) p Baseline APACHE II score 1.089 (1.018-1.163) 0.013 Average BG48 > 168 mg/dL 6.310 (1.707-23.334) 0.006 ACKNOWLEDGEMENTS Aenean condimentum felis vitae ipsum elementum aliquet. Vestibulum quis ligula nec est pellentesque feugiat. Aenean quis enim sed velit venenatis varius at interdum eros.