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Volume 22, Number 9—September 2016

Community-Acquired Clostridium difficile Infection, Queensland, Australia

Luis Furuya-KanamoriComments to Author , Laith Yakob, Thomas V. Riley, David L. Paterson, Peter Baker, Samantha J. McKenzie, Jenny Robson, and Archie C.A. Clements
Author affiliations: The Australian National University, Canberra, Australian Capital Territory, Australia (L. Furuya-Kanamori, A.C.A. Clements); London School of Hygiene and Tropical Medicine, London, UK (L. Yakob); The University of Western Australia and PathWest Laboratory Medicine, Nedlands, Western Australia, Australia (T.V. Riley); The University of Queensland, Herston, Queensland, Australia (D.L. Paterson, P. Baker); The University of Queensland, St. Lucia, Queensland, Australia (S.L. McKenzie); Sullivan Nicolaides Pathology, Taringa, Queensland, Australia (J. Robson)

Main Article


Binomial logistic regression models for medication exposure adjusted for sex, age group, temporal pattern, and spatial distribution among patients with community-acquired Clostridium difficile infection, Queensland, Australia, 2003–2012

Medication exposure Odds ratio (95% credible interval) p value Holm-adjusted p value
Drugs for acid-related disorders 1.052 (0.943–1.163) 0.348 0.819
Drugs for constipation 1.056 (0.963–1.151) 0.235 0.781
Antidiarrheal drugs 1.106 (0.994–1.218) 0.051 0.379
Antithrombotic drugs 1.073 (0.955–1.197) 0.224 0.781
Corticosteroids for systemic use 1.043 (0.952–1.133) 0.348 0.819
Antibacterial drugs for systemic use 1.083 (0.990–1.174) 0.067 0.425
Antimycotic drugs for systemic use 1.035 (0.944–1.126) 0.454 0.819
Antimicrobial drugs for mycobacterial infections 1.089 (1.023–1.155) 0.006 0.063
Anti-inflammatory drugs 1.070 (0.970–1.170) 0.158 0.700
Antiprotozoal drugs 1.037 (0.953–1.123) 0.394 0.819
Anthelminthic drugs 1.068 (1.008–1.127) 0.021 0.189

Main Article

Page created: August 16, 2016
Page updated: August 16, 2016
Page reviewed: August 16, 2016
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