Nosocomial Infection in an Intensive-Care Unit Identification of Risk Factors | Infection Control & Hospital Epidemiology | Cambridge Core (original) (raw)

References

  1. Emmerson, AM. The epidemiology of infections in intensive care units. Intensive Care Med 1990;16(suppl 3):197S–200S.CrossRefGoogle ScholarPubMed

  2. Haley, RW, Culver, DH, White, JW, et al. The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals. Am J Epidemiol 1985;121:182–205.CrossRefGoogle ScholarPubMed

  3. Ayliffe, GAJ. Nosocomial infection. The irreducible minimum. Infect Control 1986;7(suppl):92S–95S.Google ScholarPubMed

  4. Craven, DE, Kunches, LM, Lichtenberg, DA, et al. Nosocomial infections and fatality in medical and surgical intensive care unit patients. Arch Intern Med 1988;148:1161–1168.CrossRefGoogle ScholarPubMed

  5. Jarvis, WR, Edwards, JR, Culver, DH, et al. Nosocomial infection rates in adult and pediatric intensive care units in the United States. Am J Med 1991;91 (suppl 3B):185S–91S.CrossRefGoogle ScholarPubMed

  6. Joshi, N, Russell Localio, A, Hamory, BH. A predictive risk index for nosocomial pneumonia in the intensive care unit. Am J Med 1992:93:135–142.CrossRefGoogle ScholarPubMed

  7. Gamer, JS, Jarvis, WR, Emori, TG, Horan, TC, Hughes, JM. CDC definitions for nosocomial infections, 1988. Am J Infect Control 1988;16:128–140.Google Scholar

  8. Knaus, WA Wagner, DP, Draper, EA, Zimmerman, JE. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818–829.CrossRefGoogle ScholarPubMed

  9. Instituto Nacional de la Salud. Clasificación Internacional de Enfermedades. 9th revision. Modificación Clínica. Vol 1. Madrid, Spain: Ministerio de Sanidad y Consumo. INSALUD; 1988:1–879.Google Scholar

  10. Bueno Cavanillas, A, Rodriguez-Contreras, R, Delgado Rodriguez, M, et al. Preoperative stay as a risk factor for noso-cornial infection. Eur J Epidemiol 1991;7:670–676.CrossRefGoogle ScholarPubMed

  11. Bueno Cavanillas, A, Ramos Cuadra, MA y Blanco Gonzalez, JI. El huésped, factores endógenos o intrínsecos. En: Gálvez Vargas, R, Delgado Rodriguez, M y Guillén Solvas, JF, eds. Infección Hospitalana. Granada, Spain: Universidad de Granada; 1993;83–97.Google Scholar

  12. Knaus, WA, Harrell, FE, Fisher, CJ, et al. The clinical evaluation of new drugs for sepsis: a prospective study design based on survival analysis. JAMA 1993;270:1233–1241.CrossRefGoogle ScholarPubMed

  13. Vqaue ed. Prevalencia de las infecciones nosocomiales en los hospitales espanoles: EPINE 1990-1994. Madrid, Spain: Sociedad Espafiola de Higiene y Medicina Preventiva Hospitalarias; 1995.Google Scholar

  14. Lee, ET. Statistical Methods for Survival Data Analysis. 2nd ed. New York, NY: John Wiley & Sons; 1992.Google Scholar

  15. Hosmer, DW, Lemeshow, SA. Applied Logistic Regression. New York, NY: John Wiley; 1989.Google Scholar

  16. Celis, R, Torres, A, Gatell, JM, Almela, M, Rodriguez-Roisin, R, Agusti-Vidal, A. Nosocomial pneumonia: a multivariate analysis of risk and prognosis. Chest 1988;93:318–324.CrossRefGoogle ScholarPubMed

  17. Harkness, GA, Bentley, DW, Roghmann, KJ. Risk factors for nos-cornial pneumonia in the elderly. Am J Med 1990;89:457–463.CrossRefGoogle ScholarPubMed

  18. Hanson, LC, Weber, DJ, Rutala, WA. Risk factors for nosocomial pneumonia in the elderly. Am J Med 1992;92:161–166.CrossRefGoogle ScholarPubMed

  19. Moro, ML, Vigano, EF, Cozzi Lepri, A, the Central Venous Catheter-Related Infections Study Group. Risk factors for central venous catheter-related infections in surgical and intensive care units. Infect Control Hosp Epidemiol 1994;15:253–264.Google ScholarPubMed

  20. Fridkin, SK Pear, SM, Williamson, TH, Galgiani, JN, Jarvis, WR. The role of understaffing in central venous catheter-associated bloodstream infections. Infect Control Hosp Epidemiol 1996;17:150–158.Google ScholarPubMed

  21. Torres, A, Aznar, R, Gatell, JM, et al. Incidence, risk, and prognosis factors of nosocomial pneumonia in mechanically ventilated patients. Am Rev Respir Dis 1990;142:523–528.CrossRefGoogle ScholarPubMed

  22. Myers, MH, Hankey, BF, Mantel, N. A logistic-exponential model for use with response-time data involving regression variables. Biometrics 1973;29:257–269.CrossRefGoogle Scholar

  23. Elandt-Johnson, RC. Time Dependent Logistic Models in Follow-up Studies and Clinical Trials: I, Binary Data. Institute of Statistic Mimeo Series No. 1309. Chapel Hill, NC: University of North Carolina; 1980.Google Scholar

  24. Friedman, SR, Des Jarlais, DC. The harm reduction approach and risk factors for human immunodeficiency virus (HIV) sero-conversion in injecting drug users, Amsterdam. Am J Epidemiol 1993;138:768–769. Letter.CrossRefGoogle Scholar

  25. Green, MS. Symons, MI. A comparison of the logistic risk function and the proportional hazards model in prospective epidemiological studies. Journal of Chronic Diseases 1983;36:715–723.CrossRefGoogle Scholar

  26. Bueno Cavanillas, A, Rodriguez-Contreras, R, Lopez Luque, A, Delgado Rodriguez, M, Galvez Vargas, R Usefulness of severity indices in intensive care medicine as a predictor of nosocomial infection risk. Intensive Cure Med 1991;17:336–339.CrossRefGoogle ScholarPubMed