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A López-Luque

Publications and source records attributed to A López-Luque.

10 recordsLinked to original sources

Difficulties in assessing community-acquired infection as a risk factor for nosocomial infection at an intensive care unit.

OBJECTIVE: To analyze the relationship between presentation with a community-acquired infection (CAI) and the risk of subsequent nosocomial infection, and the assessment of a likely diagnostic bias in this association. DESIGN: A prospective cohort study. APACHE-II and TISS were used to assess severity and therapeutic intensity, respectively. Nosocomial infection (NI) was diagnosed according to SENIC and CDC diagnostic criteria. The relative risk and its 95% confidence interval were estimated. SETTING: The intensive care unit (ICU) of the University of Granada Hospital (Spain). It is a ten-bed multidisciplinary unit. PATIENTS: 448 patients admitted to the intensive care unit (ICU) between December-1986 and April-1988 who stayed at the ICU for at least 24 hours were included in the study. RESULTS: The crude analysis suggests that CAI may prevent NI. When data were stratified by other variables a previous infection acted as a preventive factor in patients admitted to the ICU from emergency room, in patients with lower severity level and in those with shorter stay lengths at ICU. Patients with a CAI showed higher severity; they were treated more aggressively, they had a longer stay at ICU before a NI was diagnosed and they remained at ICU longer. In multivariate analysis the NI risk in patients with a CAI compared with those not infected previously and controlling for other variables was of 0.36. CONCLUSION: The presence of a CAI may introduce a differential information bias in the study of NI.

Chi-Square Distribution↗

Influence of nosocomial infection on mortality rate in an intensive care unit.

OBJECTIVE: To assess the impact of nosocomial infection on the mortality rate in an intensive care unit (ICU). DESIGN: Prospective cohort study. SETTING: The ICU of the University of Granada Hospital in Spain. PATIENTS: All patients (n = 279) admitted for > or = 48 hrs at the ICU between December 1986 and April 1988. MEASUREMENTS: Nosocomial infections were diagnosed according to Study on the Efficacy of Nosocomial Infection Control (SENIC) and Centers for Disease Control criteria. Patient severity on admission (using Acute Physiology and Chronic Health Evaluation (APACHE II) and Therapeutic Intensity Scoring Systems were also used. RESULTS: Mortality risk was 2.48 times higher in patients with a nosocomial infection than in noninfected patients. Relative risk of mortality in nosocomially infected patients was higher in young and less severely ill patients, in those patients with respiratory diseases, and in those patients with longer ICU stays. Logistic stepwise regression analysis, adjusting for several confounding factors (affected organ system, APACHE II score, and therapeutic intensity), showed that the risk of death in nosocomially infected patients was 2.1 times greater (95% confidence interval = 1.0 to 4.41) than in patients without such infection. CONCLUSIONS: Nosocomial infection increases the risk of death. The effect is stronger in younger and less severely ill patients.

Adult↗

Usefulness of severity indices in intensive care medicine as a predictor of nosocomial infection risk.

To evaluate the relationship between severity and nosocomial infection in critical patients, we have conducted a prospective study at the Intensive Care Unit of the University of Granada Hospital (Spain). Patients' severity was evaluated by APACHE II and TISS. We found a positive association with nosocomial infection risk for an APACHE II score greater than 12 points (RR = 2.45) and for first-day TISS greater than 20 points (RR = 2.51). With a multivariate analysis we did not find an association between APACHE II and nosocomial infection risk, but each TISS point suggests an infection risk increment of 6%. We concluded TISS may be considered a good infection risk predictor. TISS could also be taken into account when nosocomial infection rates from several ICUs are compared.

Cross Infection↗