Department of Pediatrics, Duke University, Duke Clinical Research Institute, 2400 Pratt St, Durham, NC 27705, USA.
Pediatrics. 2010 Oct;126(4):e865-73. doi: 10.1542/peds.2009-3412. Epub 2010 Sep 27.
Invasive candidiasis is a leading cause of infection-related morbidity and mortality in extremely low birth weight (<1000-g) infants. We quantified risk factors that predict infection in premature infants at high risk and compared clinical judgment with a prediction model of invasive candidiasis.
The study involved a prospective observational cohort of infants≤1000 g birth weight at 19 centers of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network. At each sepsis evaluation, clinical information was recorded, cultures were obtained, and clinicians prospectively recorded their estimate of the probability of invasive candidiasis. Two models were generated with invasive candidiasis as their outcome: (1) potentially modifiable risk factors; and (2) a clinical model at time of blood culture to predict candidiasis.
Invasive candidiasis occurred in 137 of 1515 (9.0%) infants and was documented by positive culture from ≥1 of these sources: blood (n=96); cerebrospinal fluid (n=9); urine obtained by catheterization (n=52); or other sterile body fluid (n=10). Mortality rate was not different for infants who had positive blood culture compared with those with isolated positive urine culture. Incidence of candida varied from 2% to 28% at the 13 centers that enrolled≥50 infants. Potentially modifiable risk factors included central catheter, broad-spectrum antibiotics (eg, third-generation cephalosporins), intravenous lipid emulsion, endotracheal tube, and antenatal antibiotics. The clinical prediction model had an area under the receiver operating characteristic curve of 0.79 and was superior to clinician judgment (0.70) in predicting subsequent invasive candidiasis.
Previous antibiotics, presence of a central catheter or endotracheal tube, and center were strongly associated with invasive candidiasis. Modeling was more accurate in predicting invasive candidiasis than clinical judgment.
侵袭性念珠菌病是极低出生体重(<1000 克)婴儿感染相关发病率和死亡率的主要原因。我们量化了预测高危早产儿感染的危险因素,并将临床判断与侵袭性念珠菌病的预测模型进行了比较。
本研究涉及 Eunice Kennedy Shriver 国家儿童健康与人类发育研究所新生儿研究网络 19 个中心的≤1000 克体重的早产儿前瞻性观察队列。在每次败血症评估时,记录临床信息、采集培养物,临床医生前瞻性记录他们对侵袭性念珠菌病的概率估计。根据侵袭性念珠菌病作为其结局,生成了两个模型:(1)潜在可改变的危险因素;(2)血培养时的临床模型以预测念珠菌病。
1515 例婴儿中有 137 例(9.0%)发生侵袭性念珠菌病,通过以下至少 1 种来源的阳性培养物证实:血液(n=96);脑脊液(n=9);经导管获得的尿液(n=52);或其他无菌体液(n=10)。与单纯阳性尿液培养的婴儿相比,血培养阳性的婴儿死亡率没有差异。在纳入≥50 例婴儿的 13 个中心,念珠菌的发生率从 2%到 28%不等。潜在可改变的危险因素包括中心静脉导管、广谱抗生素(如第三代头孢菌素)、静脉内脂肪乳剂、气管内插管和产前抗生素。临床预测模型的受试者工作特征曲线下面积为 0.79,优于临床医生判断(0.70)预测随后的侵袭性念珠菌病。
先前使用抗生素、存在中心静脉导管或气管内插管以及中心是侵袭性念珠菌病的强烈相关因素。建模在预测侵袭性念珠菌病方面比临床判断更准确。