Emergence and dissemination of quinolone-resistant Escherichia coli in the community.
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We studied the evolution of resistance to quinolones in Escherichia coli from 1992 to 1997 in Barcelona, Spain. An increasing proportion of quinolone-resistant E. coli (QREC) infections was observed. QREC strains were more common in patients with nosocomial infections but also increased in patients with community-acquired infections (9% in 1992 to 17% in 1996). Seventy (12%) of 572 episodes of E. coli bacteremia were due to QREC. Factors significantly associated with QREC bacteremia were the presence of underlying disease, recent exposure to antibiotics, and bacteremia of unknown origin. In the multivariate analysis, only prior exposure to antimicrobial agents (P < 0.001; odds ratio [OR] = 2), specifically, to quinolones (P < 0. 001; OR = 14), and the presence of a urinary catheter (P < 0.001; OR = 2) were significantly associated with QREC bacteremia. Among 16 QREC isolates from cultures of blood of community origin selected at random, 13 different pulsed-field gel electrophoresis patterns were recognized, showing the genetic diversity of these isolates and in turn indicating the independent emergence of QREC in the community. The prevalence of QREC in the feces of healthy people was unexpectedly high (24% in adults and 26% in children). A survey of the prevalence of QREC of avian and porcine origin revealed a very high proportion of QREC in animal feces (up to 90% of chickens harbored QREC). The high prevalence of QREC in the stools of healthy humans in our area could be linked to the high prevalence of resistant isolates in poultry and pork. (+info)
Markers of systemic inflammation predicting organ failure in community-acquired septic shock.
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To obtain predictors of organ failure (OF), we studied markers of systemic inflammation [circulating levels of interleukin-6 (IL-6), IL-8, soluble IL-2 receptor (sIL-2R), soluble E-selectin and C-reactive protein, and neutrophil and monocyte CD11b expression] and routine blood cell counts in 20 patients with systemic inflammatory response syndrome and positive blood culture. Eight patients with shock due to community-acquired infection developed OF, whereas 11 normotensive patients and one patient with shock did not (NOF group). The first blood sample was collected within 48 h after taking the blood culture (T1). OF patients, as compared with NOF patients, had at T1 a lower monocyte count, a lower platelet count, higher levels of CD11b expression on both neutrophils and monocytes, and higher concentrations of IL-6, IL-8 and sIL-2R. C-reactive protein and soluble E-selectin concentrations did not differ between groups. No parameter alone identified all patients that subsequently developed OF. However, a sepsis-related inflammation severity score (SISS), developed on the basis of the presence or absence of shock and on the levels of markers at T1, identified each patient that developed OF. The maximum SISS value was 7. The range of SISS values in OF patients was 2-5, and that in NOF patients was 0-1. In conclusion, high levels of CD11b expression, depressed platelet and monocyte counts, and high concentrations of IL-6, IL-8 and sIL-2R predict OF in patients with community-acquired septic shock, and the combination of these markers may provide the means to identify sepsis patients who will develop OF. (+info)
Emergence of antibiotic resistance in upper and lower respiratory tract infections.
(35/2393)
The increase in antibiotic resistance is of great concern to the medical community. The treatment of respiratory tract infections are significantly impacted by resistance, as 67% of antibiotic use in adults and 87% in children is for the treatment of such infections. The most common pathogens implicated in these infections are Streptococcus pneumoniae, Haemophilus influenzae, and Moraxella catarrhalis, and isolates of all 3 have developed resistance to some of the antibiotics currently on the market. In 1997, one third of S. pneumoniae strains were classified as penicillin resistant, up to 50% of H. influenzae strains produced beta-lactamase, and all M. catarrhalis strains produced beta-lactamase. As resistance can vary with geographic region and specific populations, one way to determine the-most effective antibiotic for an infection is to ascertain the resistance pattern of these pathogens from local laboratories or national surveillance studies. Breakpoints using pharmacodynamic data based on drug concentration present for at least 40% of the dosing interval, or area under the serum concentration curve:minimum inhibitory concentration ratios have been valuable for comparing the activities of oral agents. Of the currently available beta-lactams and macrolides, only amoxicillin/clavulanate and daily intramuscular ceftriaxone are active against more than 90% of all 3 respiratory pathogens. Newer quinolones are also active against these pathogens, but overuse is very likely to result in rapid development of resistance, and their use should be reserved for patients with treatment failure or significant drug allergies. (+info)
Molecular epidemiology of vancomycin-resistant Enterococcus faecium in a large urban hospital over a 5-year period.
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To investigate the dissemination of vancomycin-resistant Enterococcus faecium (VREF) in a 728-bed tertiary-care hospital, all clinical VREF isolates recovered from June 1992 to June 1997 were typed by pulsed-field gel electrophoresis, and the transfer histories of the patients were documented. A total of 413 VREF isolates from urine (52%), wounds (16%), blood (11%), catheter tips (6%), and other sites (15%) were studied. VREF specimens mostly came from patients on wards (66%) but 34% came from patients in an intensive care unit. The number of VREF isolates progressively increased over time, with higher rates of isolation during the winter months and lower rates in the late summer months. Four distinct banding patterns were detected by pulsed-field gel electrophoresis among 316 samples (76%). Strain A (122 samples; 30%) appeared in June 1992 as the first VREF strain and was found until December 1994 throughout the entire hospital. Type B (92 samples; 22%) was initially detected in January 1994 and disappeared in November 1996. Strain C (10 samples; 2%) was limited to late 1996 and early 1997. Strain D (92 samples; 22%) showed two major peaks during March 1996 to August 1996 and January 1997 to February 1997. Unrelated strains (97 samples; 24%) appeared 1 year after the appearance of the first VREF isolate, and the numbers increased slightly over the years. Nosocomial acquisition (i.e., no known detection prior to admission and first isolation from cultures performed with samples retrieved >/=2 days after hospitalization) was found for 316 (91%) of 347 patients. Despite the implementation of Centers for Disease Control and Prevention guidelines, the proportion of related strains and high number of nosocomial cases of infection indicate a high transmission rate inside the hospital. The results imply an urgent need for stringent enforcement of more effective infection control measures. (+info)
The use of physician domain knowledge to improve the learning of rule-based models for decision-support.
(37/2393)
This paper describes a study testing the hypothesis that the learning of a decision-support model by a computer learning algorithm from clinical data can be improved by the addition of domain knowledge from practicing physicians. The domain of the experiment is community-acquired pneumonia. The overall design of the study compares a computer learning algorithm given clinical data to one given clinical data plus domain knowledge added by physician subjects. This study showed that the performance of the computer-generated models augmented with knowledge added by physician subjects were significantly better than the computer-generated models generated without added knowledge using a two-stage rule induction algorithm in the domain of community-acquired pneumonia. This result was highly significant and shows that the addition of domain knowledge may be beneficial to the learning of clinical decision-support models, especially in domains where data is limited. (+info)
An integrated decision support system for diagnosing and managing patients with community-acquired pneumonia.
(38/2393)
Decision support systems that integrate guidelines have become popular applications to reduce variation and deliver cost-effective care. However, adverse characteristics of decision support systems, such as additional and time-consuming data entry or manually identifying eligible patients, result in a "behavioral bottleneck" that prevents decision support systems to become part of the clinical routine. This paper describes the design and the implementation of an integrated decision support system that explores a novel approach for bypassing the behavioral bottleneck. The real-time decision support system does not require health care providers to enter additional data and consists of a diagnostic and a management component. (+info)
Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries.
(39/2393)
Obtaining encoded variables is often a key obstacle to automating clinical guidelines. Frequently the pertinent information occurs as text in patient reports, but text is inadequate for the task. This paper describes a retrospective study that automates determination of severity classes for patients with community-acquired pneumonia (i.e. classifies patients into risk classes 1-5), a common and costly clinical problem. Most of the variables for the automated application were obtained by writing queries based on output generated by MedLEE1, a natural language processor that encodes clinical information in text. Comorbidities, vital signs, and symptoms from discharge summaries as well as information from chest x-ray reports were used. The results were very good because when compared with a reference standard obtained manually by an independent expert, the automated application demonstrated an accuracy, sensitivity, and specificity of 93%, 92%, and 93% respectively for processing discharge summaries, and 96%, 87%, and 98% respectively for chest x-rays. The accuracy for vital sign values was 85%, and the accuracy for determining the exact risk class was 80%. The remaining 20% that did not match exactly differed by only one class. (+info)
Community-acquired methicillin-resistant Staphylococcus aureus in hospitalized adults and children without known risk factors.
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Community-acquired methicillin-resistant Staphylococcus aureus (MRSA) infections are not commonly recognized in healthy patients without predisposing risk. We performed a retrospective study of patients hospitalized with community-acquired MRSA infections from 1992 to 1996 in Honolulu to determine if community-acquired MRSA infections occurred in patients without known risk. Patients hospitalized within the previous 6 months or transferred from other hospitals or nursing homes were excluded. Epidemiological and clinical data were obtained from an inpatient chart review. Ten (71%) of 14 patients with community-acquired MRSA infection had no discernible characteristics of MRSA infections. Thirteen (93%) patients had skin or soft-tissue infections and one patient had MRSA pneumonia. Isolates from patients with MRSA infection were more likely to be susceptible to ciprofloxacin (P = .05), clindamycin (P = .03), and erythromycin (P = .01) than were those from MRSA-colonized patients. In our population, the majority of community-acquired MRSA infections occurred in previously healthy individuals without characteristics suggestive of MRSA transmission. (+info)