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肺部超声序列监测病毒性肺炎:从新冠疫情中吸取的经验教训

Serial lung ultrasound in monitoring viral pneumonia: the lesson learned from COVID-19.

作者信息

Clofent David, Culebras Mario, Felipe-Montiel Almudena, Arjona-Peris Marta, Granados Galo, Sáez María, Pilia Florencia, Ferreiro Antía, Álvarez Antonio, Loor Karina, Bosch-Nicolau Pau, Polverino Eva

机构信息

Department of Respiratory Medicine, Vall d'Hebron University Hospital, Barcelona, Spain.

Vall d'Hebron Institut de Recerca, Barcelona, Spain.

出版信息

ERJ Open Res. 2023 Aug 14;9(4). doi: 10.1183/23120541.00017-2023. eCollection 2023 Jul.

Abstract

BACKGROUND

Lung ultrasound (LUS) has proven to be useful in the evaluation of lung involvement in COVID-19. However, its effectiveness for predicting the risk of severe disease is still up for debate. The aim of the study was to establish the prognostic accuracy of serial LUS examinations in the prediction of clinical deterioration in hospitalised patients with COVID-19.

METHODS

Prospective single-centre cohort study of patients hospitalised for COVID-19. The study protocol consisted of a LUS examination within 24 h from admission and a follow-up examination on day 3 of hospitalisation. Lung involvement was evaluated by a 14-area LUS score. The primary end-point was the ability of LUS to predict clinical deterioration defined as need for intensive respiratory support with high-flow oxygen or invasive mechanical ventilation.

RESULTS

200 patients were included and 35 (17.5%) of them reached the primary end-point and were transferred to the intensive care unit (ICU). The LUS score at admission had been significantly higher in the ICU group than in the non-ICU group (22 (interquartile range (IQR) 20-26) 12 (IQR 8-15)). A LUS score at admission ≥17 was shown to be the best cut-off point to discriminate patients at risk of deterioration (area under the curve (AUC) 0.95). The absence of progression in LUS score on day 3 significantly increased the prediction accuracy by ruling out deterioration with a negative predictive value of 99.29%.

CONCLUSION

Serial LUS is a reliable tool in predicting the risk of respiratory deterioration in patients hospitalised due to COVID-19 pneumonia. LUS could be further implemented in the future for risk stratification of viral pneumonia.

摘要

背景

肺超声(LUS)已被证明在评估新型冠状病毒肺炎(COVID-19)患者的肺部受累情况方面有用。然而,其预测重症疾病风险的有效性仍存在争议。本研究的目的是确定系列LUS检查对预测COVID-19住院患者临床病情恶化的预后准确性。

方法

对因COVID-19住院的患者进行前瞻性单中心队列研究。研究方案包括入院后24小时内进行LUS检查以及住院第3天进行随访检查。通过14区LUS评分评估肺部受累情况。主要终点是LUS预测临床病情恶化的能力,临床病情恶化定义为需要高流量氧气或有创机械通气进行强化呼吸支持。

结果

纳入200例患者,其中35例(17.5%)达到主要终点并转入重症监护病房(ICU)。ICU组入院时的LUS评分显著高于非ICU组(22(四分位间距(IQR)20 - 26)对12(IQR 8 - 15))。入院时LUS评分≥17被证明是区分有病情恶化风险患者的最佳切点(曲线下面积(AUC)0.95)。第3天LUS评分无进展通过排除病情恶化显著提高了预测准确性,阴性预测值为99.29%。

结论

系列LUS是预测COVID-19肺炎住院患者呼吸恶化风险的可靠工具。未来LUS可进一步用于病毒性肺炎的风险分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc3d/10423983/44e388e81eb4/00017-2023.01.jpg

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