Correlation of Pleural and Pulmonary Ultrasound with the Severity of Autoimmune Interstitial Lung Disease.

IF 1.1 Q4 RHEUMATOLOGY
Luis Javier Cajas Santana, Satiago Cuero, Gabriela Guerrero, Mayelin Ceballos, María Carolina Torres Villarreal
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Abstract

Background/Aims: Interstitial lung disease is one of the most important complications in autoimmune diseases. The extent of involvement in tomography is crucial for therapeutic decision-making. Pleuropulmonary ultrasound is helpful in screening and correlates with severity. Using the Goh method, the objective is to analyze the correlation between ultrasound findings and the quantified extent on high-resolution computed tomography (HRCT). Materials and Methods: The HRCT images of patients with rheumatoid arthritis or systemic sclerosis were analyzed using the Goh method. The data were compared with the number of B-lines and ultrasound pleural abnormalities. The correlation was determined using Spearman's Rho statistic, and receiver operating characteristic curve analysis was performed. The sensitivity, specificity, and cutoff points were calculated for each ultrasound finding to detect severe disease. Results: A total of 71 patients were included. Almost half of the patients (56%) were involved in less than 5% of extent in HRCT; an average disease extent was 11% for the whole population. The correlation (Rho) between the extent and the total B-line count was 0.58 and 0.61 (P < .001), and for pleural abnormalities, 0.60 and 0.59 (P < .001) in linear and convex images, correspondingly. The areas under the curve were high for both ultrasound abnormalities and in both forms of images, consistently exceeding 0.7. Regarding the cutoff values, a number greater than 20 B-lines has a specificity close to 90% for detecting extensive disease, as well as 7 or more pleural abnormalities. Conclusion: The count of B-lines and the number of pleural abnormalities on lung ultrasound correlate well with the extent of the disease and can help determine its severity.

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胸膜和肺部超声与自身免疫性间质性肺疾病严重程度的相关性
背景/目的:间质性肺疾病是自身免疫性疾病中最重要的并发症之一。断层扫描的介入程度对治疗决策至关重要。胸肺超声有助于筛查,并与严重程度相关。使用Goh方法,目的是分析超声结果与高分辨率计算机断层扫描(HRCT)的量化程度之间的相关性。材料与方法:采用Goh法对类风湿关节炎或系统性硬化症患者的HRCT图像进行分析。将这些数据与b线数量和超声胸膜异常进行比较。采用Spearman’s Rho统计量确定相关性,并进行受试者工作特征曲线分析。计算每个超声发现的敏感性、特异性和截止点,以检测严重疾病。结果:共纳入71例患者。几乎一半的患者(56%)在HRCT上的受累程度小于5%;全体人口的平均患病程度为11%。胸膜异常程度与b线计数的相关性(Rho)分别为0.58和0.61 (P < 0.001),胸膜异常在线性和凸像上分别为0.60和0.59 (P < 0.001)。曲线下的面积在超声异常和两种形式的图像中都很高,始终超过0.7。关于临界值,大于20个b线对于发现广泛疾病以及7个或更多胸膜异常的特异性接近90%。结论:肺超声b线计数和胸膜异常数与疾病的严重程度有良好的相关性,有助于判断其严重程度。
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