Caserta Mary T, Qiu Xing, Tesini Brenda, Wang Lu, Murphy Amy, Corbett Anthony, Topham David J, Falsey Ann R, Holden-Wiltse Jeanne, Walsh Edward E
Division of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA.
Department of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA.
J Infect Dis. 2017 Mar 1;215(5):750-756. doi: 10.1093/infdis/jiw624.
Respiratory syncytial virus (RSV) infection in infants has recognizable clinical signs and symptoms. However, quantification of disease severity is difficult, and published scores remain problematic. Thus, as part of a RSV pathogenesis study, we developed a global respiratory severity score (GRSS) as a research tool for evaluating infants with primary RSV infection.
Previously healthy infants <10 months of age with RSV infections representing the spectrum of disease severity were prospectively evaluated. Clinical signs and symptoms were collected at 3 time points from hospitalized infants and those seen in ambulatory settings. Data were also extracted from office, emergency department, and hospital records. An unbiased data-driven approach using factor analysis was used to develop a GRSS.
A total of 139 infants (84 hospitalized and 55 nonhospitalized) were enrolled. Using hospitalization status as the output variable, 9 clinical variables were identified and weighted to produce a composite GRSS. The GRSS had an area under the receiver operator curve of 0.961. Construct validity was demonstrated via a significant correlation with length of stay (r = 0.586, P < .0001).
Using routine clinical variables, we developed a severity score for infants with RSV infection that should be useful as an end point for investigation of disease pathogenesis and as an outcome measure for therapeutic interventions.
婴儿呼吸道合胞病毒(RSV)感染有可识别的临床体征和症状。然而,疾病严重程度的量化很困难,且已发表的评分仍存在问题。因此,作为RSV发病机制研究的一部分,我们开发了一种全球呼吸严重程度评分(GRSS),作为评估原发性RSV感染婴儿的研究工具。
对先前健康的10个月以下患有RSV感染且疾病严重程度各异的婴儿进行前瞻性评估。在3个时间点收集住院婴儿以及门诊婴儿的临床体征和症状。数据还从门诊、急诊科和医院记录中提取。采用基于因子分析的无偏数据驱动方法来开发GRSS。
共纳入139名婴儿(84名住院,55名非住院)。以住院状态作为输出变量,确定了9个临床变量并进行加权,以产生综合GRSS。GRSS的受试者工作特征曲线下面积为0.961。通过与住院时间的显著相关性(r = 0.586,P <.0001)证明了结构效度。
利用常规临床变量,我们为RSV感染婴儿开发了一种严重程度评分,该评分可作为疾病发病机制研究的终点以及治疗干预的结果指标。