Rivas-Juesas C, Rius Peris J M, García A L, Madramany A A, Peris M G, Álvarez L V, Primo J
Hospital de Sagunto, Avda Ramón y Cajal s.n, Sagunto, 46520 Valencia, Spain.
Hospital Virgen de la Luz, Hermandad de Donantes de Sangre n° 1, 16002 Cuenca, Spain.
Allergol Immunopathol (Madr). 2018 Jan-Feb;46(1):15-23. doi: 10.1016/j.aller.2017.01.012. Epub 2017 Jun 16.
There are a number of clinical scores for bronchiolitis but none of them are firmly recommended in the guidelines.
We designed a study to compare two scales of bronchiolitis (ESBA and Wood Downes Ferres) and determine which of them better predicts the severity. A multicentre prospective study with patients <12 months with acute bronchiolitis was conducted. Each patient was assessed with the two scales when admission was decided. We created a new variable "severe condition" to determine whether one scale afforded better discrimination of severity. A diagnostic test analysis of sensitivity and specificity was made, with a comparison of the AUC. Based on the optimum cut-off points of the ROC curves for classifying bronchiolitis as severe we calculated new Se, Sp, LR+ and LR- for each scale in our sample.
201 patients were included, 66.7% males and median age 2.3 months (IQR=1.3-4.4). Thirteen patients suffered bronchiolitis considered to be severe, according to the variable severe condition. ESBA showed a Se=3.6%, Sp=98.1%, and WDF showed Se=46.2% and Sp=91.5%. The difference between the two AUC for each scale was 0.02 (95%CI: 0.01-0.15), p=0.72. With new cut-off points we could increase Se and Sp for ESBA: Se=84.6%, Sp=78.7%, and WDF showed Se=92.3% and Sp=54.8%; with higher LR.
None of the scales studied was considered optimum for assessing our patients. With new cut-off points, the scales increased the ability to classify severe infants. New validation studies are needed to prove these new cut-off points.
目前有多种用于评估细支气管炎的临床评分,但指南中并未明确推荐使用其中任何一种。
我们设计了一项研究,比较两种细支气管炎评分量表(ESBA和Wood Downes Ferres),并确定哪一种能更好地预测病情严重程度。对12个月以下的急性细支气管炎患者进行了一项多中心前瞻性研究。决定收治患者时,使用这两种量表对每位患者进行评估。我们创建了一个新变量“病情严重”,以确定哪种量表对病情严重程度的区分能力更强。进行了敏感性和特异性的诊断试验分析,并比较了曲线下面积(AUC)。根据将细支气管炎分类为严重程度的ROC曲线的最佳截断点,我们计算了样本中每种量表的新敏感性(Se)、特异性(Sp)、阳性似然比(LR+)和阴性似然比(LR-)。
纳入201例患者,男性占66.7%,中位年龄2.3个月(四分位间距=1.3 - 4.4)。根据“病情严重”变量,13例患者患有被认为是严重的细支气管炎。ESBA的敏感性为3.6%,特异性为98.1%,WDF的敏感性为46.2%,特异性为91.5%。每种量表的两个AUC之间的差异为0.02(95%置信区间:0.01 - 0.15),p = 0.72。通过新的截断点,我们可以提高ESBA的敏感性和特异性:敏感性为84.6%,特异性为78.7%,WDF的敏感性为92.3%,特异性为54.8%;似然比更高。
所研究的量表均未被认为是评估我们患者的最佳量表。通过新的截断点,这些量表提高了对严重婴儿进行分类的能力。需要新的验证研究来证实这些新的截断点。