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Use of the National Noscomial Infection Surveillance System Risk Index for Prediction of Mortality: Results of a 6-Year Postdischarge Follow-Up Study

Published online by Cambridge University Press:  02 January 2015

Silvia Palma ,
Antonio Cosano ,
Antonio Gómez-Ortega ,
Marcial Mariscal ,
Jose Martin Moreno-Montesinos ,
Gabriel Martínez-Gallego ,
Marcelino Medina-Cuadros  and
Miguel Delgado-Rodriguez
Silvia Palma
Affiliation:
Division of Preventive Medicine, University of Jaen, Jaén, Spain
Antonio Cosano
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaén, Jaén, Spain
Antonio Gómez-Ortega
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaén, Jaén, Spain
Marcial Mariscal
Affiliation:
Division of Preventive Medicine, University of Jaen, Jaén, Spain
Jose Martin Moreno-Montesinos
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaén, Jaén, Spain
Gabriel Martínez-Gallego
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaén, Jaén, Spain
Marcelino Medina-Cuadros
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaén, Jaén, Spain
Miguel Delgado-Rodriguez*
Affiliation:
Division of Preventive Medicine, University of Jaen, Jaén, Spain
*
Health Sciences Building (B-3), University of Jaen, 23071-Jaén, Spain ([email protected])
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Abstract

A positive linear trend (P<.001) between the National Noscomial Infection Surveillance system (NNIS) risk index and mortality was observed in 2,848 general surgery patients followed up 6 years after discharge. In stratified analyses, the NNIS risk index predicted mortality in patients with chronic disease (P = .007, by test for trend) but not in the remaining patients.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 28 , Issue 4 , April 2007 , pp. 489 - 492
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2007

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References

1.Culver, DH, Horan, RC, Gaynes, RP, et al.Surgical wound infection rates by wound class, operative procedure, and patient risk index. Am J Med 1991;91(Suppl 3B):152S–7S.Google Scholar
2.Delgado-Rodríguez, M, Martínez-Gallego, G, Medina-Cuadros, M, Sillero-Arenas, M. Usefulness of intrinsic surgical site infection indices as predictors of post-operative pneumonia risk. J Hosp Infect 1997;35:269–276.Google Scholar
3.Fariñas-Álvarez, C, Fariñas, MC, Prieto, D, Delgado-Rodríguez, M. Applicability of two surgical-site infection risk indices to risk of sepsis in surgical patients. Infect Control Hosp Epidemiol 2000;21:633–638.Google Scholar
4.Delgado-Rodríguez, M, Gómez-Ortega, A, Lecuona, M, et al.Nosocomial infection, indices of intrinsic infection risk, and in-hospital death. J Hosp Infect 1999;41:203–211.CrossRefGoogle Scholar
5.Delgado-Rodríguez, M, Medina-Cuadros, M, Gómez-Ortega, A, et al.Cholesterol and serum albumin levels at admission as predictors of death, nosocomial infection and length of stay in general surgery. Arch Surg 2002;137:805–812.Google Scholar
6.Gaynes, RP, Culver, DH, Horan, TC, Edwards, JR, Richards, C, Tolson, JS. Surgical site infection (SSI) rates in the United States, 1992-1998: the National Nosocomial Infections Surveillance System basic SSI risk index. Clin Infect Dis 2001;33 Suppl 2:S69–77.Google Scholar
7.Cosano, A, Martínez-González, MA, Medina-Cuadros, M, Martínez-Gallego, G, Palma, S, Delgado-Rodríguez, M. Relationship between hospital infection and long-term mortality in general surgery: a prospective follow-up study. J Hosp Infect 2002;52:122–129.Google Scholar
8.Rothman, KJ, Greenland, S. Modern Epidemiology. 2nd ed. Boston: Lippincott-Raven; 1997.Google Scholar
9.Sun, GW, Shook, TL, Kay, GL. Inappropriate use of bivariable analysis to screen risk factors for use in multivariate analysis. J Clin Epidemiol 1996;49:907–916.Google Scholar
10.Mickey, RM, Greenland, S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol 1989;129:125–137.Google Scholar
11.Maldonado, G, Greenland, S. Simulation study of confounder-selection strategies. Am J Epidemiol 1993;138:923–936.Google Scholar
12.Gibbs, J, Cull, W, Henderson, W, Daley, J, Hur, K, Khuri, SF. Preoperative serum albumin level as a predictor of operative mortality and morbidity: results from the National VA Surgical Risk Study. Arch Surg 1999;134:36–42.CrossRefGoogle ScholarPubMed
13.Sacks, GS, Dearman, K, Replogle, WH, Cora, VL, Meeks, M, Canada, T. Use of subjective global assessment to identify nutrition-associated complications and death in geriatric long-term care facility residents. J Am Coll Nutr 2000;19:570–577.Google Scholar
14.Engelman, DT, Adams, DH, Byrne, JG, et al.Impact of body mass index and albumin on morbidity and mortality after cardiac surgery. J Thorac Cardiovasc Surg 1999;118:866–873.CrossRefGoogle ScholarPubMed
15.Shibata, H, Haga, H, Ueno, M, Nagai, H, Yasumura, S, Koyano, W. Longitudinal changes of serum albumin in elderly people living in the community. Age Ageing 1991;20:417–420.Google Scholar
16.Britt, MR, Schleupner, CJ, Matsumiya, S. Severity of underlying disease as a predictor of nosocomial infection. Utility in the control of nosocomial infection. JAMA 1978;239:1047–1051.Google Scholar
17.Salemi, C, Morgan, J, Padilla, S, Morrissey, R. Association between severity of illness and mortality from nosocomial infection. Am J Infect Control 1995;23:188–193.Google Scholar