Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6929
Title: Infection probability score : a predictor of clostridium difficile-associated disease onset in patients with haematological malignancy
Authors: Apostolopoulou, Eleni A. 
Terzis, Konstantinos 
Elefsiniotis, Ioannis S. 
Raftopoulos, Vasilios 
Keywords: Hematology
Blood--Diseases
Microbiology
Health surveys
Clostridium
Issue Date: 2011
Publisher: Elsevier
Source: European Journal of Oncology Nursing, 2011, Volume 15, Issue 5, Pages 404-409
Abstract: Purpose: to assess the predictive power of three systems: Infection Probability Score, APACHE II and KARNOFSKY score for the onset of Clostridium difficile-associated disease (CDAD) in hematology-oncology patients. Methods and sample: A retrospective pilot surveillance survey was conducted in the hematology unit of a general hospital in Greece. Data were collected by using an anonymous standardised case-record form. The sample consisted of 102 hospitalized patients. Results: The majority of the patients (33.3%) suffered from acute myeloid leukemia. The cumulative incidence of CDAD was 10.8% and the incidence rate of C difficile associated diarrhea was 5 per 1000 patient-days (14.2 per 1000 patient-days at risk). Patients with CDAD had twofold higher time of mean length of hospital stay compared with patients without CDAD (38.82 ± 23.88 vs 19.45 ± 14.56 days). Additionally patients with CDAD had received a greater number of different antibiotics compared to those without CDAD (5.18 ± 1.99 vs 2.54 ± 2.13), suffered from diabetes, from non Hodgkin's lymphoma, had a statistically significant higher duration of neutropenia ≥3 days and had received antifungal treatment. The best cutoff value of IPS for the prediction of CDAD was 13 with a sensitivity of 45.5% and a specificity of 82.4%. Conclusions: IPS is an early diagnostic test for CDAD detection.
URI: http://ktisis.cut.ac.cy/handle/10488/6929
ISSN: 1462-3889 (print)
1532-2122 (online)
DOI: 10.1016/j.ejon.2010.11.002
Rights: © Elsevier Ltd.
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