Biomedical subjects

Dorit Sohr

Publications and source records attributed to Dorit Sohr.

8 recordsLinked to original sources

PubMed2006

Where should one search when confronted with outbreaks of nosocomial infection?

The outbreak database (http://www.outbreak-database.com), containing 1561 records of nosocomial outbreaks published in the medical literature in a systematic format, was used to identify the most frequent outbreak sources for the entire database as well as for specific outbreak pathogens. Overall, in 37.1%, no source was identified. The main sources identified were index patients (40.3%), followed by equipment and devices (21.1%), environment (19.8%), and personnel (15.8%).

Cross Infection↗

PubMed2005

The burden of MRSA in four German university hospitals.

In the last few years, a dramatic increase of Methicillin-resistant Staphylococcus aureus (MRSA) detection in German hospitals can be recognized. Under this enormous pressure it is very important for infection control teams to assess the epidemiologic situation correctly. Therefore, a prospective multicenter hospital-based surveillance of MRSA cases was executed in four university hospitals with 1017-1333 beds in Germany. Routine surveillance data were recorded of all patients with MRSA isolates from clinical samples or screening cultures. Patients had been colonized or infected with MRSA during their hospital stay. In 2002 between 183 and 291 MRSA cases were treated in the respective hospitals (between 0.53 and 0.96 MRSA cases per 1000 patient days). Of these, 44.4% were MRSA infections. The most frequent type of MRSA infections were wound infections (56.9%) followed by pneumonia (21.0%) and bloodstream infections (15.1%). Of the infected patients 51.5% were already infected at admission. The median duration of isolation of MRSA patients in private rooms was between 11 and 16 days. Altogether 21,665 isolation days were observed in four hospitals; this means 1.52% of all patient days. On average, 9.0% of roommates were identified as MRSA carriers. Due to the high percentage of imported cases, the four university hospitals introduced a general screening for MRSA at admission in all ICUs and some further departments as well as an automatic alert system for readmitted patient with MRSA during their last hospital stay.

Carrier State↗

PubMed2005

Risk factors for surgical site infections in a free-standing outpatient setting.

BACKGROUND: More information about risk factors for surgical site infections in outpatient settings is necessary for creation of surveillance systems in this field. OBJECTIVE: The aim of this study was to determine the incidence of surgical site infections (SSI) in an outpatient setting and to investigate whether the risk index of the National Nosocomial Infections Surveillance (NNIS) System is appropriate for outpatient settings. METHODS: A retrospective cohort design was used to investigate SSI following all hernia repairs and varicose veins operations over a 9-year period in a freestanding outpatient setting. The exposure variables studied were age, sex, and American Society of Anesthesiologists (ASA) score of the patient; duration of operation; performing surgeon's name; type of operation; type of anesthesia; and follow-up period. An univariable and a multivariable analysis were performed to determine risk factors for SSI. RESULTS: A total of 1095 operations were performed: 714 on varicose veins and 381 on hernia repairs. The median follow-up period was 43 days. The crude SSI rate was 1.2% (varicose veins operations, 1.5%; hernia repair operations, 0.5%). According to the results of the logistic regression model, only 1 factor remained significant: Patients with spinal anesthesia were 11 times as likely to develop a SSI as patients with any other type of anesthesia (95% CI, 2.15-200.5). CONCLUSION: The NNIS risk index was not suitable for assessing SSI rates in this outpatient setting and for these specific procedures.

Age Factors↗

PubMed2005

Surveillance of nosocomial infections in a neurologic intensive care unit.

OBJECTIVE: To assess data on the epidemiology of nosocomial infection (NI) among neurologic intensive care patients. DESIGN: Prospective periodic surveillance study. SETTING: An 8-bed neurologic intensive care unit (ICU). PATIENTS: All those admitted for more than 24 hours during five 3-month periods between January 1999 and March 2003. METHODS: Standardized surveillance within the German infection surveillance system. RESULTS: Three hundred thirty-eight patients with a total of 2,867 patient-days and a mean length of stay of 8.5 days were enrolled during the 15-month study period. A total of 71 NIs were identified among 52 patients. Urinary tract infections (UTIs) were the most frequent NI (36.6%), followed by pneumonia (29.6%) and bloodstream infections (BSIs) (15.5%). The overall incidence and incidence density of NIs were 21.0 per 100 patients and 24.8 per 1,000 patient-days, respectively. Incidence densities were 9.8 UTIs per 1,000 urinary catheter-days (CI95, 6.4-14.4), 5.6 BSIs per 1,000 central venous catheter-days (CI9s, 2.8-10.0), and 12.8 cases of pneumonia per 1,000 ventilation-days (Cl95, 8.0-19.7). Device-associated UTI and pneumonia rates were in the upper range of national and international reference data for medical ICUs, despite the intensive infection control and prevention program in operation in the hospital. CONCLUSION: Neurologic intensive care patients have relatively high rates of device-associated nosocomial pneumonia and UTI. For a valid comparison of surveillance data and implementation of targeted prevention strategies, we would strongly recommend provision of national benchmarks for the neurologic ICU setting.

Cross Infection↗

PubMed2004

Finding a method for optimizing risk adjustment when comparing surgical-site infection rates.

OBJECTIVE: To investigate whether stratification of the risk of developing a surgical-site infection (SSI) is improved when a logistic regression model is used to weight the risk factors for each procedure category individually instead of the modified NNIS System risk index. DESIGN AND SETTING: The German Nosocomial Infection Surveillance System, based on NNIS System methodology, has 273 acute care surgical departments participating voluntarily. Data on 9 procedure categories were included (214,271 operations). METHODS: For each of the procedure categories, the significant risk factors from the available data (NNIS System risk index variables of ASA score, wound class, duration of operation, and endoscope use, as well as gender and age) were identified by multiple logistic regression analyses with stepwise variable selection. The area under the receiver operating characteristic (ROC) curve resulting from these analyses was used to evaluate the predictive power of logistic regression models. RESULTS: For most procedures, at least two of the three variables contributing to the NNIS System risk index were shown to be independent risk factors (appendectomy, knee arthroscopy, cholecystectomy, colon surgery, herniorrhaphy, hip prosthesis, knee prosthesis, and vascular surgery). The predictive power of logistic regression models (including age and gender, when appropriate) was low (between 0.55 and 0.71) and for most procedures only slightly better than that of the NNIS System risk index. CONCLUSION: Without the inclusion of additional procedure-specific variables, logistic regression models do not improve the comparison of SSI rates from various hospitals.

Adult↗

PubMed2003

[Surveillance of nosocomial infections in intensive care units. Current data and interpretations].

The German nosocomial infections surveillance system KISS was established in 1996 using a surveillance protocol based on the National Nosocomial Infections Surveillance (NNIS) System. Meanwhile data from a total of 274 intensive care units (ICU) are available, among them 134 interdisciplinary, 71 surgical, 55 medical, 9 neurosurgical and 5 paediatric ICUs. The data comprise about 6,966 surveillance months with more than 500,000 intensive care patients and more than 1.8 million patient days. A total of 6,888 cases of pneumonia and 2,357 cases of central venous catheter (CVC) associated primary bloodstream infections (BSI) were recorded. Ventilator associated pneumonia rates and CVC associated primary BSI rates are presented, stratified according to the type of the ICU and affiliation to a university, a teaching hospital or another type of hospital. The most frequent pathogens associated with ventilator associated pneumonia were S. aureus (24.1%), followed by P. aeruginosa (16.8%) and Klebsiella spp. (12.1%). In the case of CVC associated primary BSI coagulase negative staphylococci dominated (30.9%) followed by S. aureus (15.4%) and Enterococci spp. (11.6%). A remarkable increase of Methicillin Resistant Staphylococcus aureus (MRSA) infections was observed during the period from 1997 to 2002. 19.2% of S. aureus associated pneumonia cases and 25.5% of S. aureus associated primary BSI were due to MRSA. KISS data are useful benchmarks for internal quality management, however a careful interpretation is necessary to stimulate infection control efforts.

Adult↗

PubMed2003

Five years working with the German nosocomial infection surveillance system (Krankenhaus Infektions Surveillance System).

A national surveillance system for nosocomial infections, Krankenhaus Infektions Surveillance System (KISS), was established in Germany as a joint effort by the National Reference Center for Hospital Epidemiology (currently called the National Reference Center for the Surveillance of Nosocomial Infections) and the Robert Koch Institute. To begin with a well-accepted and proven method, surveillance protocols were developed on the basis of the National Nosocomial Infections Surveillance system. Hospitals from all parts of Germany took part voluntarily. There were 4 surveillance components: intensive care departments (227), patients undergoing operation (231 departments), neonatal intensive care departments (23 hospitals), and patients undergoing bone marrow and peripheral blood stem cell transplants (10 hospitals). Five years after the introduction of KISS many hospitals have introduced continuous surveillance activities whereby the various definitions and methods have attained wide acceptance. This has lead to much better understanding and cooperation between clinicians and infection control personnel in preventing nosocomial infections. KISS is considered the national reference database, but continuous evaluation and development of KISS are necessary to react adequately.

Cross Infection↗

PubMed2003

Assessment of a selective surveillance method for detecting nosocomial infections in patients in the intensive care department.

BACKGROUND: The implementation of a time- and cost-effective system for the surveillance of the nosocomial infection (NI) is a challenge for infection control practitioners. OBJECTIVES: The aim of this study was to assess the sensitivity and the time reduction using a selective surveillance method (SSM) for the detection of NIs in comparison with a reference surveillance method (RSM). METHODS: During a 12-month period, surveillance was performed prospectively in 4 intensive care departments on a rotating basis. Using the RSM, NIs were identified by prospective chart reviews performed twice a week combined with weekly infectious disease ward rounds. In the SSM, surveillance was reduced to microbiologic data and participation in the weekly infectious disease ward rounds followed by selective chart review. RESULTS: In all, 578 patients amounting to 3597 patient-days were included in the study. In total, 78 NIs among 56 patients were identified. The overall sensitivity of the SSM compared with the RSM was 93.6% (73 of 78 NIs). The sensitivity of the SSM for the most important device-associated NIs (pneumonia, bloodstream infections, and urinary tract infections) was 96.3% (52 of 54 NIs) and 87.5% (21 of 24 NIs) for other NIs. Time required using the SSM was 1.3 hours compared with 4.1 hours per 10 beds per week (P =.0001) with the RSM. CONCLUSIONS: Within our setting, a SSM with restriction to microbiology reports and participation in the infectious disease ward rounds detected NIs with a high sensitivity and a remarkable time reduction.

Cross Infection↗