Allegorico Enrico, Buonerba Carlo, Bosso Giorgio, Pagano Antonio, Porta Giovanni, Serra Claudia, Dolce Pasquale, Minerva Valentina, Vicario Ferdinando Dello, Altruda Concetta, Arbo Paola, Russo Teresa, Sio Chiara De, Franco Nicoletta, Ruffa Gianluca, Mormile Cinzia, Cannavacciuolo Francesca, Mercurio Valentina, Gervasio Gelsomina, Costanzo Giuseppe Di, Ragozzino Alfonso, Scafuri Luca, Facchini Gaetano, Numis Fabio
Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
Department of Oncology & Hematology, Regional Reference Center for Rare Tumors, AOU Federico II of Naples, 80131 Naples, Italy.
Future Sci OA. 2020 Nov 30;7(1):FSO635. doi: 10.2144/fsoa-2020-0127.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus-specific reverse transcriptase-polymerase chain reaction (RT-PCR) represents the diagnostic gold standard. We explored the value of chest ultrasonography to predict positivity to SARS-CoV-2 on RT-PCR in suspected COVID-19 cases.
PATIENTS & METHODS: Consecutive patients with suspect COVID-19 were included if they had fever and/or history of cough and/or dyspnea. Lung ultrasound score (LUSS) was computed according to published methods.
A total of 76 patients were included. A 3-variable model based on aspartate transaminase (AST) > upper limit of normal, LUSS >12 and body temperature >37.5°C yielded an overall accuracy of 91%.
A simple LUSS-based model may represent a powerful tool for initial assessment in suspected cases of COVID-19.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒特异性逆转录聚合酶链反应(RT-PCR)是诊断的金标准。我们探讨了胸部超声检查在疑似新型冠状病毒肺炎(COVID-19)病例中预测RT-PCR检测SARS-CoV-2阳性的价值。
纳入连续的疑似COVID-19患者,这些患者有发热和/或咳嗽病史和/或呼吸困难。根据已发表的方法计算肺部超声评分(LUSS)。
共纳入76例患者。基于天冬氨酸转氨酶(AST)>正常上限、LUSS>12和体温>37.5°C的三变量模型总体准确率为91%。
一个简单的基于LUSS的模型可能是疑似COVID-19病例初始评估的有力工具。