1.The value of high-resolution CT visual scoring and quantitative analysis for the assessment of pulmonary Langerhans cell histiocytosis in adults
Jinhua WANG ; Xin SUI ; Lan SONG ; Ruijie ZHAO ; Huayang DU ; Jiaru WANG ; Ran XIAO ; Ying MING ; Wei SONG
Chinese Journal of Radiology 2023;57(12):1319-1324
Objective:To explore the value of high-resolution CT (HRCT) visual scores and quantitative analysis in assessing pulmonary Langerhans cell histiocytosis (PLCH) in adults.Methods:In total 51 adult patients with PLCH confirmed by pathology in Peking Union Medical College Hospital from August 2014 to December 2021 were retrospectively analyzed. All patients underwent HRCT and pulmonary function tests (PFT). The involvement of the nodular and cystic lesions were evaluated by two experienced radiologists using CT visual scores. The cases were divided into three groups based on the nodular scores, and into four groups based on the cystic scores, respectively. Ratio of low attenuation areas (LAA%) was measured by an automatic post-processing software. Pulmonary function indices including forced expiratory volume in the first second (FEV 1), forced vital capacity (FVC), FEV 1/FVC, diffusion capacity for carbon monoxide of lung (D LCO), alveolar ventilation (V A), D LCO/V A, D LCO corrected for hemoglobin (D LCOc), D LCOc/V A were collected. FEV 1/FVC was expressed as measured values and other indices were expressed as percent predicted (%pred). Spearman correlation analysis was used to evaluate the correlation between HRCT visual scores, LAA% and PFT. The lung function indices among different nodular groups as well as among different cystic groups were compared using the Kruskal‐Wallis test. Results:Both nodular and cystic lesions were found on HRCT images of all 51 patients. There were no correlation between the visual scores of nodular lesions and lung function indices (all P>0.05). There were no significant differences in lung function indices among different nodular groups (all P>0.05). The visual scores of cystic lesions were negatively correlated with FEV 1/FVC, D LCO%pred, D LCO/V A%pred, D LCOc%pred, D LCOc/V A%pred ( r=-0.491, -0.347, -0.330, -0.373, -0.346, respectively, all P<0.05); the pulmonary function indices among different cystic groups had significant difference (all P<0.05). LAA% were negatively correlated with FEV 1/FVC, D LCO%pred, D LCO/V A%pred, D LCOc%pred, D LCOc/V A%pred ( r=-0.278, -0.378, -0.418, -0.395, -0.451, respectively, all P<0.05). Conclusion:HRCT visual scores of nodular lesions do not correlate with lung function in patients with PLCH. Visual scores and quantitative analysis of the cystic lesions can reflect the impairment degree of pulmonary ventilation and diffusion function to a certain extent, and may be used in assessment of patients with PLCH.
2.Network Analysis of Sleep Quality and Anxiety of First-Line Medical Staff in Epidemic Prevention
Yao ZHANG ; Lin WU ; Yijun LI ; Baojuan LI ; Jian LIU ; Jiaru SUI ; He HUANG
Chinese Medical Ethics 2023;36(2):167-173
【Objective:】 To explore the network characteristics of sleep quality and anxiety in first-line medical staff fighting against COVID-19, further understand the relationship between sleep quality and anxiety, and provide basis for intervention. 【Methods:】 Using the convenient sampling method, this paper used the Pittsburgh Sleep Quality Index (PSQI) and Self Rating Anxiety Scale (SAS) to conduct a questionnaire survey on the front-line medical staff who fought against the epidemic during the COVID-19. Network analysis was used to construct sleep quality and anxiety network, and R language was used for statistical analysis and visualization. 【Results:】 In the network of sleep quality and anxiety of first-line medical staff fighting against COVID-19, "sleep disorder" and "sleep quality", "unfortunate premonition" and "inability to sit still", "syncope" and "hand and foot tingling" were highly related. "Fatigue", "dizziness" and "panic" had the highest expected influence. "Sleep quality", "sleep disorder" and "fatigue" had the highest bridge expected influence. The average predictability value of all nodes was 0.778. 【Conclusion:】 This paper used network analysis to explore the sleep quality and anxiety of first-line medical staff fighting against COVID-19 and found that there was a unique correlation path between them. Intervention against core symptoms can ameliorate anxiety and sleep problems to the great extent, and provide guidance for improving the physical and mental health.