Abstract:Objective: To explore the diagnostic value of bedside lung ultrasound, chest X-ray and clinical pulmonary infection score (CPIS) in pulmonary consolidation of patients with severe pneumonia. Methods: 31 patients with severe pneumonia were included in ICU of our hospital. Bedside lung ultrasound was used to scan the bilateral chest wall of the patients, and the specific signs of lung ultrasound were used as the diagnostic basis of pulmonary consolidation. And the chest X-ray, chest CT and CPIS are improved. To evaluate the diagnostic value of pulmonary ultrasound, chest X-ray and CPIS in pulmonary consolidation, the "gold standard" of CT characteristic imaging is applied. Results: 27 patients were diagnosed as pulmonary consolidation by CT. There were 26 cases of pulmonary consolidation in lung ultrasound, the sensitivity was 92.6%, the specificity was 75.0%, the positive predictive value was 96.2%, the negative predictive value was 60.0%,and the diagnostic accuracy was 90.3%; 19 cases were diagnosed in chest X-ray examination, the sensitivity was 66.7%, the specificity was 75.0%, the positive predictive value was 94.7%, the negative predictive value was 25.0%, and the diagnostic accuracy was 67.7%; 21 cases were diagnosed with CPIS≥6, with sensitivity of 70.4%, specificity of 50.0%, positive predictive value of 90.5%, negative predictive value of 20.0%, and diagnostic accuracy of 66.7%. The results of consistency test showed that there was a high consistency between pulmonary ultrasound and CT diagnosis (kappa =0.611). Conclusion: Lung ultrasound has a high diagnostic value for pulmonary consolidation. Ultrasound, chest X-ray and CPIS have certain diagnostic value for lung consolidation, and pulmonary ultrasound has better diagnostic value.
赵浩天, 龙玲, 任珊, 赵鹤龄. 肺超声胸部X线和CPIS评分对ICU重症肺炎患者肺实变的诊断价值分析[J]. 河北医学, 2020, 26(12): 2056-2060.
ZHAO Haotian, LONG Ling, REN Shan, et al. An Analysis of the Diagnostic Value of Lung Ultrasound Chest X-Ray and CPIS for Pulmonary Consolidation in ICU Patients with Severe Pneumonia. HeBei Med, 2020, 26(12): 2056-2060.
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