Urine Metabolites of Suspected Community-Acquired Pneumonia

Lilliam Ambroggio, Todd A Florin, Kayla Williamson, Grace Bosma, Brandie D Wagner, Larisa Yeomans, Jae Hyun Kim, Heidi Sucharew, Maurizio Macaluso, Richard M Ruddy, Kathleen A Stringer, Samir S Shah
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Abstract

Background Accurate diagnosis of community-acquired pneumonia (CAP) can be challenging. Clinical findings are non-specific, and interpretations of chest radiographs have poor inter-rater reliability. Pilot studies demonstrate the potential for metabolomics to identify metabolite concentrations that differentiate children with CAP from those without. The objective of this study was to expand these findings in a large cohort of children with CAP compared with controls. Methods Urine was collected from children, 3 months to 12 years old, with emergency department visits for suspected CAP and community-based controls. Nuclear magnetic resonance spectrometry was used to identify and quantify metabolites. A random forest approach developed three models discriminating cases from community-based controls based on: 1) clinical signs and symptoms; 2) metabolites, and 3) the combination of both. The area under the receiver operating characteristic curve (AUC) was computed for each model. Results Included were 253 cases and 122 controls. The metabolite-only model had similar discriminatory ability as the combination model (AUC: 0.97 and 0.99, respectively). The discriminating metabolites in the metabolite-only model were 2-aminobutyrate, fumarate, hypoxanthine, acetone, leucine, quinolinate, valine, O-acetylcarnitine, citrate and trigonelline. In the combined model, discriminatory clinical factors included receipt of corticosteroids, fever, cough, rapid breathing, decreased oral intake, difficulty breathing, receipt of albuterol, abnormal sleepiness, vomiting and wheezing, and included five additional metabolites compared to the metabolite only model (4-hydroxybenzoate, isoleucine, carnitine, 2-hydroxyisovalerate, betaine, succinate). Conclusions Urine metabolite concentrations can accurately discriminate healthy children from children with suspected CAP. Metabolites associated with CAP may overcome limitations of prior diagnostic approaches.
怀疑社区获得性肺炎的尿液代谢物
社区获得性肺炎(CAP)的准确诊断具有挑战性。临床表现是非特异性的,胸片的解释在评估者之间的可靠性很差。初步研究表明,代谢组学有可能识别代谢物浓度,从而区分CAP患儿和非CAP患儿。本研究的目的是将这些发现扩展到与对照组相比的大型CAP儿童队列中。方法收集3个月~ 12岁儿童尿液,疑似CAP患者急诊就诊,社区对照。采用核磁共振光谱法对代谢物进行鉴定和定量。随机森林方法开发了三种模型,根据以下因素区分病例和社区对照:1)临床体征和症状;2)代谢物,3)两者的结合。计算每个模型的受者工作特征曲线下面积(AUC)。结果纳入病例253例,对照组122例。单独代谢物模型与组合模型具有相似的鉴别能力(AUC分别为0.97和0.99)。仅代谢物模型的鉴别代谢物为2-氨基丁酸盐、富马酸盐、次黄嘌呤、丙酮、亮氨酸、喹啉酸盐、缬氨酸、o -乙酰肉碱、柠檬酸盐和葫芦巴碱。在联合模型中,区别性临床因素包括接受皮质类固醇、发烧、咳嗽、呼吸急促、口服摄入量减少、呼吸困难、接受沙丁胺醇、异常嗜睡、呕吐和喘息,并且与仅代谢物模型相比,包括5种额外的代谢物(4-羟基苯甲酸酯、异亮氨酸、肉碱、2-羟基异戊酸酯、甜菜碱、琥珀酸盐)。结论尿代谢物浓度可准确区分健康儿童和疑似CAP患儿,代谢物与CAP相关可克服以往诊断方法的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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