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Infection Probability Score, APACHE II and KARNOFSKY scoring systems as predictors of bloodstream infection onset in hematology-oncology patients

机译:感染概率评分,APACHE II和KARNOFSKY评分系统可预测血液肿瘤患者的血流感染发作

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Background Bloodstream Infections (BSIs) in neutropenic patients often cause considerable morbidity and mortality. Therefore, the surveillance and early identification of patients at high risk for developing BSIs might be useful for the development of preventive measures. The aim of the current study was to assess the predictive power of three scoring systems: Infection Probability Score (IPS), APACHE II and KARNOFSKY score for the onset of Bloodstream Infections in hematology-oncology patients. Methods A total of 102 patients who were hospitalized for more than 48 hours in a hematology-oncology department in Athens, Greece between April 1st and October 31st 2007 were included in the study. Data were collected by using an anonymous standardized recording form. Source materials included medical records, temperature charts, information from nursing and medical staff, and results on microbiological testing. Patients were followed daily until hospital discharge or death. Results Among the 102 patients, Bloodstream Infections occurred in 17 (16.6%) patients. The incidence density of Bloodstream Infections was 7.74 per 1,000 patient-days or 21.99 per 1,000 patient-days at risk. The patients who developed a Bloodstream Infection were mainly females (p = 0.004), with twofold time mean length of hospital stay (p Conclusion Between the three different prognostic scoring systems, Infection Probability Score had the best sensitivity in predicting Bloodstream Infections.
机译:中性粒细胞减少症患者的背景血流感染(BSI)通常会导致相当大的发病率和死亡率。因此,对发展为BSI的高风险患者的监视和早期识别可能对制定预防措施很有用。本研究的目的是评估三种评分系统的预测能力:感染概率评分(IPS),APACHE II和KARNOFSKY评分,用于血液肿瘤患者的血液感染。方法纳入2007年4月1日至10月31日在希腊雅典血液肿瘤科住院超过48小时的102例患者。研究。通过使用匿名标准化记录表收集数据。原始资料包括病历,温度图表,护理人员和医务人员的信息以及微生物检测结果。每天随访患者直至出院或死亡。结果在102例患者中,有17例(16.6%)发生了血流感染。血流感染的发生密度为每1,000名患者日7.74或每1,000名患者日21.99。发生血液感染的患者主要是女性(p = 0.004),平均住院时间是患者的两倍(p结论)在三种不同的预后评分系统之间,感染概率评分在预测血液感染方面的敏感性最高。

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