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Titolo:
Comparison of different methodological approaches to identify risk factorsof nosocomial infection in intensive care units
Autore:
de Irala-Estevez, J; Martinez-Concha, D; Diaz-Molina, C; Masa-Calles, J; del Castillo, AS; Navajas, RFC;
Indirizzi:
Univ Navarra, Fac Med, Epidemiol & Publ Hlth Unit, Navarra 31008, Spain Univ Navarra Navarra Spain 31008 & Publ Hlth Unit, Navarra 31008, Spain Reina Sofia Univ Hosp, Dept Prevent Med, Cordoba, Spain Reina Sofia Univ Hosp Cordoba Spain p, Dept Prevent Med, Cordoba, Spain Univ Cordoba, Fac Med, Cordoba, Spain Univ Cordoba Cordoba SpainUniv Cordoba, Fac Med, Cordoba, Spain
Titolo Testata:
INTENSIVE CARE MEDICINE
fascicolo: 8, volume: 27, anno: 2001,
pagine: 1254 - 1262
SICI:
0342-4642(200108)27:8<1254:CODMAT>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
BLOOD-STREAM INFECTIONS; PNEUMONIA; PROLONGATION; PROGNOSIS; SURVIVAL;
Keywords:
cox proportional hazards; logistic regression; intensive care units; nosocomial infections; risk factors; time-dependent variables;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
37
Recensione:
Indirizzi per estratti:
Indirizzo: de Irala-Estevez, J Univ Navarra, Fac Med, Epidemiol & Publ Hlth Unit, Navarra 31008, Spain Univ Navarra Navarra Spain 31008 avarra 31008, Spain
Citazione:
J. de Irala-Estevez et al., "Comparison of different methodological approaches to identify risk factorsof nosocomial infection in intensive care units", INTEN CAR M, 27(8), 2001, pp. 1254-1262

Abstract

Objective: Comparison of statistical methods and measurement scales to identify nosocomial infection risk factors in intensive care units (ICU). Design: Prospective study in 558 patients admitted to the ICU of a referral hospital between February and November 1994. Methods: Analysis using three logistic regression models, three standard Cox regression models, and two Cox regression models with time-dependent extrinsic factors. Different scales were used to measure exposures to risk factors (dichotomous, ordinal, quantitative, and time-dependent variables). Results: The most appropriate models were those that measured exposure using dichotomous variables. Models using ordinal or quantitative variables estimated biased coefficients and/or failed to comply with the statistical assumptions underlying the analyses. The Cox regression model with quantitative time-dependent variables met all the statistical assumptions, obtained aprecise assessment of risk by exposure time, and estimated unbiased coefficients. Conclusions: The Cox regression analysis with quantitative time-dependent variables is the most valid alternative for assessing the risk of nosocomial infection per day of exposure to an extrinsic risk factor in the ICU.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 06:23:35