The authors thank the many healthcare professionals at each member hospital who assisted with the conduct of surveillance in their hospital, including the surveillance nurses, clinical microbiology laboratory personnel, and the physicians and nurses providing care for the patients during the study; without their cooperation and generous assistance this INICC would not have been possible. Mariano Vilar, Débora López Burgardt and Alejo Ponce de Leon (INICC headquarters, Buenos Aires), for their hard work and commitment to achieve INICC goals; the INICC country coordinators (Altaf Ahmed, Carlos A. Álvarez Moreno, Apisarnthanarak Anucha, Luis E. Cuéllar, Bijie Hu, Hakan Leblebicioglu, Eduardo A. Medeiros, Yatin Mehta, Lul Raka, Toshihiro Mitsuda, and Virgilio Bonilla Sanchez); the INICC Advisory Board (Carla J. Alvarado, Gary L. French, Nicholas Graves, William R. Jarvis, Patricia Lynch, Dennis Maki, Russell N. Olmsted, Didier Pittet, Wing Hong Seto and William Rutala), who have so generously supported this unique international infection control network; and Patricia Lynch, who inspired and supported us to follow our dreams despite obstacles.
1.Rosenthal, VD, et al. The attributable cost, length of hospital stay, and mortality of central line-associated bloodstream infection in intensive care departments in Argentina: a prospective, matched analysis. American Journal of Infection Control 2003; 31: 475–480.
2.Rosenthal, VD, et al. The attributable cost and length of hospital stay because of nosocomial pneumonia in intensive care units in 3 hospitals in Argentina: a prospective, matched analysis. American Journal of Infection Control 2005; 33: 157–161.
3.Higuera, F, et al. Attributable cost and length of stay for patients with central venous catheter-associated bloodstream infection in Mexico City intensive care units: a prospective, matched analysis. Infection Control and Hospital Epidemiology 2007; 28: 31–35.
4.Coffin, SE, et al. Strategies to prevent ventilator-associated pneumonia in acute care hospitals. Infection Control and Hospital Epidemiology 2008; 29 (Suppl. 1): S31–40.
5.Graves, N. Economics and preventing hospital-acquired infection. Emerging Infectious Diseases 2004; 10: 561–566.
6.Graves, N, Halton, K, Lairson, D. Economics and preventing hospital-acquired infection: broadening the perspective. Infection Control and Hospital Epidemiology 2007; 28: 178–184.
7.Rosenthal, VD, et al. Device-associated nosocomial infections in 55 intensive care units of 8 developing countries. Annals of Internal Medicine 2006; 145: 582–591.
8.Rosenthal, VD, et al. International Nosocomial Infection Control Consortium (INICC) report, data summary for 2003–2008, issued June 2009. American Journal of Infection Control 2010; 38: 95–104 e2.
9.Beyersmann, J, Wolkewitz, M, Schumacher, M. The impact of time-dependent bias in proportional hazards modelling. Statistics in Medicine 2008; 27: 6439–6454.
10.van Walraven, C, et al. Time-dependent bias was common in survival analyses published in leading clinical journals. Journal of Clinical Epidemiology 2004; 57: 672–682.
11.Crnich, CJ. Estimating excess length of stay due to central line-associated bloodstream infection: separating the wheat from the chaff. Infection Control and Hospital Epidemiology 2010; 31: 1115–1117.
12.Allignol, A, Schumacher, M, Beyersmann, J. Empirical transition matrix of multistate models: the etm package. Journal of Statistical Software 2010; 38: 1–15.
13.Beyersmann, J, Schumacher, M. Time-dependent covariates in the proportional subdistribution hazards model for competing risks. Biostatistics 2008; 9: 765–776.
14.Wolkewitz, M, et al. Two pitfalls in survival analyses of time-dependent exposure: a case study in a cohort of Oscar nominees American Statistician 2010; 64: 205–211.
15.Andersen, PK, et al. Statistical Models Based on Counting Processes. Heidelberg: Springer, 1993.
18.Lambert, ML, et al. Clinical outcomes of health-care-associated infections and antimicrobial resistance in patients admitted to European intensive-care units: a cohort study. Lancet Infect Diseases 2011; 11: 30–38.
19.Beyersmann, J, et al. Nosocomial infection, length of stay, and time-dependent bias. Infection Control and Hospital Epidemiology 2009; 30: 273–276.