Applicability of two surgical-site infection risk indices to risk of sepsis in surgical patients.
OBJECTIVE
To compare the ability of the Study of the Efficacy of Nosocomial Infection Control (SENIC) and the National Nosocomial Infection Surveillance (NNIS) indices to predict the development of nosocomial sepsis in subjects undergoing surgery.


METHODS
1-year prospective case-control study.


METHODS
A tertiary-care center in Spain.


METHODS
Cases were surgical patients with nosocomial sepsis defined using the criteria of the Consensus Conference on Sepsis, identified by daily prospective surveillance.


METHODS
Controls were randomly selected from the daily list of surgical inpatients. Data were prospectively collected. To determine whether either index added explanatory information to the other, two methods were used. The first method involved computing a set of residuals for both variables. Residuals and primary variables were introduced in logistic regression models. The second method evaluated both indices with the Goodman-Kruskal (G) nonparametric coefficient.


RESULTS
99 cases and 97 controls were included. After controlling for confounders, both the SENIC index (P<.001) and the NNIS index (P=.04) showed a significant trend. Residuals of the SENIC index added discriminating ability to the NNIS index, whereas residuals of the NNIS index did not improve the prediction ability of the SENIC index. Similar results were yielded by the G statistic: the SENIC index showed higher predictive power than the NNIS index (G=0.56 vs G=0.41).


CONCLUSIONS
Both indices performed about equally well for discriminating risk of nosocomial sepsis. The SENIC index had a somewhat better ability than the NNIS index only when the number of discharge diagnoses (not truly a predictive factor) were involved in the calculation of the SENIC index.
Fariñas-Alvarez
C
C
Division of Preventive Medicine and Public Health, University of Cantabria School of Medicine, Santander, Spain.
Fariñas
M C
MC
Prieto
D
D
Delgado-Rodríguez
M
M
D016022:Case-Control Studies; D015897:Comorbidity; D005260:Female; D006801:Humans; D017053:Infection Control; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012307:Risk Factors; D013030:Spain / Q000453:epidemiology; D013530:Surgical Wound Infection / Q000453:epidemiology*