Surveillance of Nosocomial Sepsis and Pneumonia in Patients with a Bone Marrow or Peripheral Blood Stem Cell Transplant: A Multicenter Project

Dettenkofer, Markus; Wenzler-Röttele, S.; Babikir, R.; Bertz, Hartmut; Ebner, Winfried; Meyer, Elisabeth; Rüden, H.; Gastmeier, Petra; Daschner, Franz

doi:10.1086/428046

Cited by 103 publications

(88 citation statements)

References 21 publications

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“…Incidences (episodes per 100 patients) and incidence densities of nosocomial bloodstream infections per 1,000 neutropenic days were calculated [10]. Incidence densities were compared using the exponential maximum likelihood estimation test.…”

Section: Discussionmentioning

confidence: 99%

“…We decided to survey nosocomial bloodstream infections in adults (>18 years) in accordance with the ONKO-KISS protocol during neutropenia at our hospital [10]. This protocol was applied as part of the surveillance program of the German Hospital Infection Surveillance System (KISS).…”

Section: Surveillance Methodsmentioning

confidence: 99%

“…In comparison with the reference data of ONKO-KISS-18 hospitals were participating in this module at the date of analysis-the rate of 24.3 for nosocomial CA-BSIs per 1,000 neutropenic days showed an outlier position above the 75th percentile (20.3) to the reference rate with a median of 17.7 in the first study period (period A) [10]. After intervention the rate decreased to 16.2 nosocomial CA-BSIs per 1,000 neutropenic days and showed a position below the median (17.7) compared to the reference data.…”

Section: Bloodstream Infectionsmentioning

confidence: 99%

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Surveillance with successful reduction of central line-associated bloodstream infections among neutropenic patients with hematologic or oncologic malignancies

et al. 2009

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Section: Discussionmentioning

confidence: 99%

Section: Surveillance Methodsmentioning

confidence: 99%

Section: Bloodstream Infectionsmentioning

confidence: 99%

See 1 more Smart Citation

Surveillance with successful reduction of central line-associated bloodstream infections among neutropenic patients with hematologic or oncologic malignancies

et al. 2009

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“…3 Twenty hospitals in Germany, Switzerland and Austria participated in this project up to June 2004. Of this number, 70% were university hospitals, 15% were teaching hospitals and 15% district hospitals.…”

Section: Patients and Surveillancementioning

confidence: 99%

“…1,2 This is why the ONKO-KISS study, as part of the surveillance programme of the German National Reference Centre for Surveillance of Nosocomial Infections (KISSGerman Hospital Infection Surveillance System), focuses on these two types of infections during neutropenia, with the aim of decreasing infection rates. 3 Infection is a time-dependant outcome, observation of which may be precluded by prior death or the end of neutropenia. We therefore used statistical methods of survival analysis, for example Klein et al 4,5 We used the Fine-Gray regression model for the cumulative incidences of the competing events 'infection', 'death' and 'end of neutropenia' to analyse risk factors for BSI and pneumonia.…”

Section: Introductionmentioning

confidence: 99%

Risk factor analysis of blood stream infection and pneumonia in neutropenic patients after peripheral blood stem-cell transplantation

Meyer

Beyersmann

Bertz

et al. 2007

Bone Marrow Transplant

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Quantifying the predictive accuracy of time-to-event models in the presence of competing risks

et al. 2011

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The development of prognostic time to event models is an area of active research, notably in the fields of cardiology, oncology and intensive care medicine. These models try to find a link between patient covariates and an event at a later time point, and are used for example for therapy assignment, risk stratification or interhospital quality assurance. Increasingly, interest is not only in prognostic models with one possible type of event (e.g. death), but in models that distinguish between several competing endpoints. However, research into methods for the evaluation of the prognostic potential of these models is still needed, as most proposed methods measure either discrimination or calibration of models, but do not examine both simultaneously. We adapt the prediction error proposal of Graf et al. (1999) and Gerds and Schumacher (2006) to handle models with more than one possible event type and introduce a consistent estimator. A simulation study investigating the behaviour of the estimator in small sample size situations and for different levels of censoring together with a real data application follows, highlighting the usefulness of the proposed approach for quantifying effects of model misspecification in summary models for a competing risks setting.

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Surveillance of Nosocomial Sepsis and Pneumonia in Patients with a Bone Marrow or Peripheral Blood Stem Cell Transplant: A Multicenter Project

Cited by 103 publications

References 21 publications

Surveillance with successful reduction of central line-associated bloodstream infections among neutropenic patients with hematologic or oncologic malignancies

Surveillance with successful reduction of central line-associated bloodstream infections among neutropenic patients with hematologic or oncologic malignancies

Risk factor analysis of blood stream infection and pneumonia in neutropenic patients after peripheral blood stem-cell transplantation

Quantifying the predictive accuracy of time-to-event models in the presence of competing risks

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