Nathiba Hargovandas Lakhmichand (NHL) Municipal Medical College, Gujarat University, Ahmedabad 380006, India.
College of Medicine, University of the Philippines, Manila 1000, Philippines.
Adv Respir Med. 2024 Jun 4;92(3):241-253. doi: 10.3390/arm92030024.
Pneumonia is a ubiquitous health condition with severe outcomes. The advancement of ultrasonography techniques allows its application in evaluating pulmonary diseases, providing safer and accessible bedside therapeutic decisions compared to chest X-ray and chest computed tomography (CT) scan. Because of its aforementioned benefits, we aimed to confirm the diagnostic accuracy of lung ultrasound (LUS) for pneumonia in adults.
A systematic literature search was performed of Medline, Cochrane and Crossref, independently by two authors. The selection of studies proceeded based on specific inclusion and exclusion criteria without restrictions to particular study designs, language or publication dates and was followed by data extraction. The gold standard reference in the included studies was chest X-ray/CT scan or both.
Twenty-nine (29) studies containing 6702 participants were included in our meta-analysis. Pooled sensitivity, specificity and PPV were 92% (95% CI: 91-93%), 94% (95% CI: 94 to 95%) and 93% (95% CI: 89 to 96%), respectively. Pooled positive and negative likelihood ratios were 16 (95% CI: 14 to 19) and 0.08 (95% CI: 0.07 to 0.09). The area under the ROC curve of LUS was 0. 9712.
LUS has high diagnostic accuracy in adult pneumonia. Its contribution could form an optimistic clue in future updates considering this condition.
肺炎是一种普遍存在的严重健康问题。超声技术的进步使其能够应用于肺部疾病的评估,与胸部 X 光和胸部计算机断层扫描 (CT) 扫描相比,提供更安全、更便捷的床边治疗决策。鉴于其上述优势,我们旨在确认肺部超声 (LUS) 对成人肺炎的诊断准确性。
两名作者独立对 Medline、Cochrane 和 Crossref 进行了系统的文献检索。根据具体的纳入和排除标准进行研究选择,不限制特定的研究设计、语言或发表日期,然后进行数据提取。纳入研究中的金标准参考是胸部 X 光/CT 扫描或两者兼有。
我们的荟萃分析纳入了 29 项研究,共包含 6702 名参与者。汇总的敏感度、特异度和阳性预测值分别为 92%(95%CI:91-93%)、94%(95%CI:94-95%)和 93%(95%CI:89-96%)。汇总的阳性和阴性似然比分别为 16(95%CI:14-19)和 0.08(95%CI:0.07-0.09)。LUS 的 ROC 曲线下面积为 0.9712。
LUS 对成人肺炎具有较高的诊断准确性。考虑到这种情况,它的贡献可能为未来的更新提供了一个乐观的线索。