title: A discrete-time model of the acquisition of antibiotic-resistant infections in hospitalized patients.
abstract: Antibiotic use is thought to promote bacterial antibiotic resistance by selectively inhibiting the growth of sensitive strains. This study investigates the relation between antibiotic use and the propagation of antibiotic-resistant hospital-acquired infections due to gram-negative bacteria in a population of hospitalized patients. It treats infection spread and hospital mortality as a Markov process, in which the transition probabilities are logistic functions of a set of personal and hospital characteristics. Data from a university hospital are used to derive the parameters of the model.
authors: Department of Medicine, Stanford University School of Medicine, California 94305.
authors: A M
authors: AM
authors: Garber
mesh_terms: D000900:Anti-Bacterial Agents / Q000627:therapeutic use*; D001419:Bacteria / Q000187:drug effects; D001424:Bacterial Infections / Q000209:etiology* / Q000635:transmission; D003428:Cross Infection / Q000209:etiology* / Q000635:transmission; D004352:Drug Resistance, Microbial; D005260:Female; D006090:Gram-Negative Bacteria / Q000302:isolation & purification; D006801:Humans; D008297:Male; D015233:Models, Statistical; D011336:Probability
chemical_list: D000900:Anti-Bacterial Agents