The effect of hospital-acquired clostridium difficile infection on in-hospital mortality

Archives of Internal Medicine

Volumn 170, Issue 20, 2010, Pages 1804-1810

  Oake, Natalie ^a,b   Taljaard, Monica ^b,c   Van Walraven, Carl ^b,c,d   Wilson, Kumanan ^b,c   Roth, Virginia ^b,c   Forster, Alan J ^a,b,c,d  

^a UNIVERSITY OF OTTAWA   (Canada)

^b OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

^d INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CLOSTRIDIUM DIFFICILE INFECTION; FEMALE; HOSPITAL ADMISSION; HOSPITAL INFECTION; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MORTALITY; PRIORITY JOURNAL; RISK ASSESSMENT;

CLOSTRIDIUM DIFFICILE; CLOSTRIDIUM INFECTIONS; CROSS INFECTION; HOSPITAL MORTALITY; HOSPITALIZATION; HUMANS; INCIDENCE; ONTARIO; RETROSPECTIVE STUDIES; RISK FACTORS;

EID: 78149401686     PISSN: 00039926     EISSN: 15383679     Source Type: Journal    
DOI: 10.1001/archinternmed.2010.405     Document Type: Article

References (35)

1. Goorhuis A, Van der Kooi T, Vaessen N, et al. Spread and epidemiology of Clostridium difficile polymerase chain reaction ribotype 027/toxinotype III in the Netherlands. Clin Infect Dis. 2007;45(6):695-703. (Pubitemid 47378882)
2. Ricciardi R, Rothenberger DA,Madoff RD, Baxter NN. Increasing prevalence and severity of Clostridium difficile colitis in hospitalized patients in the United States. Arch Surg. 2007;142(7):624-631. (Pubitemid 47080440)
3. Zilberberg MD, Shorr AF, Kollef MH. Increase in adult Clostridium difficile-related hospitalizations and case-fatality rate, United States, 2000-2005. Emerg Infect Dis. 2008;14(6):929-931.
4. Sunenshine RH, McDonald LC. Clostridium difficile-associated disease: new challenges from an established pathogen. Cleve Clin J Med. 2006;73(2):187-197.
5. Dobson G, Hickey C, Trinder J. Clostridium difficile colitis causing toxic mega-colon, severe sepsis and multiple organ dysfunction syndrome. Intensive Care Med. 2003;29(6):1030.
6. Miller MA, Hyland M, Ofner-Agostini M, Gourdeau M, Ishak M; Canadian Hospital Epidemiology Committee; Canadian Nosocomial Infection Surveillance Program. Morbidity, mortality, and healthcare burden of nosocomial Clostridium difficile-associated diarrhea in Canadian hospitals. Infect Control Hosp Epidemiol. 2002;23(3):137-140. (Pubitemid 34246541)
7. Public Health Agency of Canada. Clostridium difficile Associated Disease (CDAD) Surveillance: the Canadian Nosocomial Infection Surveillance Program. http: //www.phac-aspc.gc.ca/nois-sinp/projects/cdad-eng.php. Accessed September 20, 2010.
8. Miller M, Gravel D, Mulvey M, et al. Health care-associated Clostridium difficile infection in Canada: patient age and infecting strain type are highly predictive of severe outcome and mortality. Clin Infect Dis. 2010;50(2):194-201.
9. Song X, Bartlett JG, Speck KA, Naegeli A, Carroll K, Perl TM. Rising economic impact of Clostridium difficile-associated disease in adult hospitalized patient population. Infect Control Hosp Epidemiol. 2008;29(9):823-828.
10. Pépin J, Valiquette L, Cossette B. Mortality attributable to nosocomial Clostridium difficile-associated disease during an epidemic caused by a hypervirulent strain in Quebec. CMAJ. 2005;173(9):1037-1042.
11. Kenneally C, RosiniJM,Skrupky LP, et al. Analysis of 30-day mortality for Clostridium difficile-associated disease in the ICU setting. Chest. 2007;132(2):418-424.
12. Dubberke ER, Butler AM, Reske KA, et al. Attributable outcomes of endemic Clostridium difficile-associated disease in nonsurgical patients. Emerg Infect Dis. 2008; 14(7):1031-1038. (Pubitemid 351920431)
13. Loo VG, Poirier L, Miller MA, et al. A predominantly clonal multi-institutional outbreak of Clostridium difficile-associated diarrhea with highmorbidity and mortality. N Engl J Med. 2005;353(23):2442-2449. (Pubitemid 41770165)
14. Provincial Infectious Diseases Advisory Committee (PIDAC). Best Practices Document for the Management of Clostridium difficile in All Health Care Settings. Toronto: Ontario Ministry of Health and Long-term Care; 2009.
15. Scheurer DB, Hicks LS, Cook EF, Schnipper JL. Accuracy of ICD-9 coding for Clostridium difficile infections: a retrospective cohort. Epidemiol Infect. 2007; 135(6):1010-1013.
16. Dubberke ER, Reske KA, McDonald LC, Fraser VJ. ICD-9 codes and surveillance for Clostridium difficile-associated disease. Emerg Infect Dis. 2006;12(10): 1576-1579.
17. Richards J, Brown A, Homan C. The data quality study of the Canadian discharge abstract database. Presented at: The Statistics Canada Symposium: Achieving Data Quality in a Statistical Agency: a Methodological Perspective; September 12, 2001; Ottawa, Ontario, Canada.
18. Escobar GJ, Greene JD, Scheirer P, Gardner MN, Draper D, Kipnis P. Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases. Med Care. 2008;46(3):232-239.
19. van Walraven C, Escobar GJ, Greene JD, Forster AJ. The Kaiser Permanente inpatient risk adjustment methodology is valid in an external patient population. J Clin Epidemiol. 2010;63(2):798-803.
20. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11): 1130-1139.
21. Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003; 38(4):1103-1120. (Pubitemid 37048302)
22. Armitage P, Berry G, Matthews JNS. Statistical Methods in Medical Research. 4th ed. Malden, MA: Blackwell Science Ltd; 2005.
23. Allison PD. Estimating Cox-RegressionModels With PROC PHREG: Survival Analysis Using the SAS System. Cary, NC: SAS Institute Inc; 2000:111-184.
24. Fisher LD, Lin DY. Time-dependent covariates in the Cox proportional-hazards regression model. Annu Rev Public Health. 1999;20:145-157.
25. Kennedy W, Bancroft TA. Model building for prediction in regression based upon repeated significance tests. Ann Math Stat. 1971;42(4):1273-1284.
26. Royston P, Altman DG. Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. Appl Stat. 1993;43(3):429-467.
27. Sauerbrei W, Royston P. Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials. J R Stat Soc Ser A. 1999;162(pt 1):71-94.
28. Sauerbrei W, Meier-Hirmer C, Benner A, Royston P. Multivariable regression model building by using fractional polynomials: description of SAS, STATA and R programs. Comput Stat Data Anal. 2006;50(12):3464-3485.
29. Armitage P, Berry G, Matthews JNS. Modelling Continuous Data: Statistical Methods in Medical Research. 4th ed. Malden, MA: Blackwell Science Ltd; 2002:312-377.
30. Gharibvand L, Liu L. Analysis of Survival Data With Clustered Events. Cary, NC: SAS Global Forum; 2009:237.
31. Kisuule F, Wright S, Barreto J, Zenilman J. Improving antibiotic utilization among hospitalists: a pilot academic detailing project with a public health approach. J Hosp Med. 2008;3(1):64-70. (Pubitemid 351330323)
32. Cantrell D, Shamriz O, Cohen MJ, Stern Z, Block C, Brezis M. Hand hygiene compliance by physicians: marked heterogeneity due to local culture? Am J Infect Control. 2009;37(4):301-305.
33. van Walraven C, Davis D, Forster AJ, Wells GA. Time-dependent bias was common in survival analyses published in leading clinical journals. J Clin Epidemiol. 2004;57(7):672-682. (Pubitemid 39195217)
34. Merz CS, Kramer C, Forman M, et al. Comparison of four commercially available rapid enzyme immunoassays with cytotoxin assay for detection of Clostridium difficile toxin(s) from stool specimens. J Clin Microbiol. 1994;32(5):1142-1147.
35. Alfa MJ, Swan B, VanDekerkhove B, Pang P, Harding GK. The diagnosis of Clostridium difficile-associated diarrhea: comparison of Triage C. difficile panel, EIA for Tox A/B and cytotoxin assays. Diagn Microbiol Infect Dis. 2002;43(4):257-263.