The search for the means to understand and control the emergence and spread of antimicrobial resistance has become a public health priority. Project ICARE (Intensive Care Antimicrobial Resistance Epidemiology) has established laboratory-based surveillance for antimicrobial resistance and antimicrobial use at a subset of hospitals participating in the National Nosocomial Infection Surveillance system. These data illustrate that for most antimicrobial-resistant organisms studied, rates of resistance were highest in the intensive care unit (ICU) areas and lowest in the outpatient areas. A notable exception was ciprofloxacin- or ofloxacin-resistant Pseudomonas aeruginosa, for which resistance rates were highest in the outpatient areas. For most of the antimicrobial agents associated with this resistance, the rate of use was highest in the ICU areas, in parallel to the pattern seen for resistance. These comparative data on use and resistance among similar areas (i.e., ICU or other inpatient areas) can be used as a benchmark by participating hospitals to focus their efforts at addressing antimicrobial resistance.

To compare the occurrence of antimicrobial resistance in hospitals with that in the community, we analyzed data for isolates collected from inpatients and outpatients in eight U.S. hospitals. The percentage of resistant isolates from inpatients was higher than that from outpatients for the following combinations of antimicrobials and organisms: methicillin/coagulase-negative Staphylococcus (49.0% vs. 36.0%, respectively; P < .01); methicillin/Staphylococcus aureus (33.0% vs. 14.5%, respectively; P < .01); ceftazidime/Enterobacter cloacae (26.0% vs. 12.0%, respectively; P < .01); imipenem/Pseudomonas aeruginosa (12.0% vs. 6.5%, respectively; P < .01); ceftazidime/P. aeruginosa (7.8% vs. 4.0%, respectively; P < .01); and vancomycin/Enterococcus species (6.3% vs. 1.4%, respectively; P < .01). There was a significant stepwise decrease in the percentage of resistant organisms isolated from patients in the intensive care unit (ICU), non-ICU inpatients, and outpatients. These results suggest that resources allocated to control antimicrobial resistance should continue to be focused in the hospital, particularly in the ICU.

In Nepal, many infections remain poorly characterized, partly due to limited diagnostic facilities. We studied consecutive febrile adults presenting to a general hospital in Kathmandu, Nepal. Of the 876 patients enrolled, enteric fever and pneumonia were the most common clinical diagnoses. Putative pathogens were identified in 323 (37%) patients, the most common being Salmonella enterica serotype Typhi and S. enterica serotype Paratyphi A (117), Rickettsia typhi (97), Streptococcus pneumoniae (53), Leptospira spp. (36), and Orientia tsutsugamushi (28). Approximately half of the Salmonella isolates were resistant to nalidixic acid. No clinical predictors were identified to reliably distinguish between the different infections. These findings confirm the heavy burden of enteric fever and pneumonia in Kathmandu, and highlight the importance of murine typhus, scrub typhus, and leptospirosis. Given the lack of reliable clinical predictors, the development of cheap and accurate diagnostic tests are likely to be of great clinical utility in this setting.

Causes of community-acquired bloodstream infections (BSIs) in sub-Saharan Africa are unknown with regard to mycobacteria and fungi. We prospectively studied 517 consecutive febrile (axillary temperature, > or =37.5 degrees C) adults (> or =15 years of age) admitted to one hospital in Tanzania. After hospital admission and informed consent, blood was drawn for culture (of bacteria, mycobacteria, and fungi), determination of human immunodeficiency virus type 1 (HIV-1) status, and malaria smears. Malaria smears were prepared for a control group of 150 afebrile patients. One hundred and forty-five patients (28%) had BSI. Of these 145 patients, 118 (81%) were HIV-1-infected. HIV-positive patients were more likely than HIV-negative ones to have BSI (118 of 282 vs. 27 of 235; P < .0001). The three most frequently isolated pathogens were Mycobacterium tuberculosis (60 [39%]), non-typhi Salmonella species (29 [19%]), and Staphylococcus aureus (13 [8.3%]). The incidence of malaria parasitemia was similar in study and control patients (9.5% vs. 8%). In this patient population with high prevalence of HIV-1 infection, M. tuberculosis has become the foremost cause of documented BSI.

Clostridium infections were traced to allograft implantation. We provide interim recommendations to enhance tissue-transplantation safety. Tissue banks should validate processes and culture methods. Sterilization methods that do not adversely affect the functioning of transplanted tissue are needed to prevent allograft-related infections.

We reviewed Clostridium difficile-associated disease (CDAD) data from the intensive care unit (ICU) and hospital-wide surveillance components of the National Nosocomial Infections Surveillance System hospitals during 1987-2001. ICU CDAD rates increased significantly only in hospitals with >500 beds (P<.01) and correlated with the duration of ICU stay (r=0.82; P<.05). Hospital-wide (non-ICU) rates increased only in hospitals with <250 beds (P<.01) and in general medicine patients versus surgery patients (P<.0001). CDAD predominated in general hospitals versus other facility types, and rates were significantly higher during winter versus nonwinter months (P<.01). Thus, prevention efforts should be targeted to high-risk groups in these settings.

We review the problem of limited microbiology resources in developing countries. We then demonstrate the feasibility of a cohort-based approach to integrate microbiology, epidemiology, and clinical medicine to survey emerging infections in these countries.

The NIR was most strongly correlated with patient census but also was strongly associated with the nursing hours:patient day ratio. These factors may influence the infection rate because of breaks in health care worker aseptic technique or decreased hand washing. Increased patient census alone may increase the risk of cross-transmission of nosocomial infections. As hospitals proceed with cost containment efforts the effect of fluctuations in patient census and nurse staffing on patient outcomes needs evaluation.