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Infect Control Hosp Epidemiol ; 25(9): 765-71, 2004 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-15484802

RESUMO

OBJECTIVE: To acquire data on pediatric nosocomial infections (NIs), which are associated with substantial morbidity and mortality and for which data are scarce. DESIGN: Prevalence survey and evaluation of a new comorbidity index. SETTING: Seven Swiss pediatric hospitals. PATIENTS: Those hospitalized for at least 24 hours in a medical, surgical, intensive care, or intermediate care ward. RESULTS: Thirty-five NIs were observed among 520 patients (6.7%; range per hospital, 1.4% to 11.8%). Bacteremia was most frequent (2.5 per 100 patients), followed by urinary tract infection (1.3 per 100 patients) and surgical-site infection (1.1 per 100 patients; 3.2 per 100 patients undergoing surgery). The median duration until the onset of infection was 19 days. Independent risk factors for NI were age between 1 and 12 months, a comorbidity score of 2 or greater, and a urinary catheter. Among surgical patients, an American Society of Anesthesiologists (ASA) score of 2 or greater was associated with any type of NI (P = .03). Enterobacteriaceae were the most frequent cause of NI, followed by coagulase-negative staphylococci; viruses were rarely the cause. CONCLUSIONS: This national prevalence survey yielded valuable information about the rate and risk factors of pediatric NI. A new comorbidity score showed promising performance. ASA score may be a predictor of NI. The season in which a prevalence survey is conducted must be considered, as this determines whether seasonal viral infections are observed. Periodic prevalence surveys are a simple and cost-effective method for assessing NI and comparing rates among pediatric hospitals.


Assuntos
Infecção Hospitalar/epidemiologia , Hospitais Pediátricos/estatística & dados numéricos , Adolescente , Distribuição por Idade , Criança , Pré-Escolar , Comorbidade , Infecção Hospitalar/etiologia , Infecção Hospitalar/prevenção & controle , Feminino , Humanos , Lactente , Recém-Nascido , Modelos Logísticos , Masculino , Análise Multivariada , Vigilância da População , Prevalência , Suíça/epidemiologia
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