ObjectiveTo summarize the clinical manifestations, diagnosis and treatments of chronic eosinophilic pneumonia (CEP).MethodsThe clinical and pathological data of five patients with CEP diagnosed in this hospital between January 2011 and January 2015 were retrospectively analyzed.ResultsThere were five CEP cases including two males and three females, and one case with allergic rhinitis, two cases with bronchial asthma, two cases with allergic history, and one case with allergic skin rash. The main clinical manifestations were fever, cough, expectoration, shortness of breath and chest pain, and often accompanied by fatigue, anorexia and weight loss. The main signs included moist rales, scattered wheeze and crackles. There were significantly increased peripheral blood eosinophils count, the proportion of eosinophils, and the proportion of eosinophils in bronchoalveolar lavage fluid in all five cases. The main imaging features were airway infiltration, real change shadow and ground glass shadow. All of five cases were treated with glucocorticoid, and one of them relapsed during follow-up.ConclusionsThe onset of CEP is insidious. The clinical manifestations of CEP are lack of specificity, and often associate with asthma and allergic dermatitis. Eosinophils significantly increase in peripheral blood and bronchoalveolar lavage fluid in most of CEP patients. The typical image is peripheral and subpleural distribution of lung infiltrates.
Objective To prospectively verify the accuracy and reliability of the diagnostic model of obstructive sleep apnea (OSA), including the probability model and disease severity model, and to explore a simple and cost-effective method for screening of OSA. Methods A total of 996 patients who underwent polysomnography in Zigong Fourth People’s Hospital(590 cases) and West China Hospital of Sichuan University(406 cases) were consecutively and prospectively included as the research subjects. Firstly, the OSA diagnostic model was used for the diagnostic test; then polysomnography was performed; Finally, taking polysomnography as the gold standard, the sensitivity, specificity, accuracy, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio and area under the ROC curve of OSA diagnostic model were calculated, and the reliability analysis of the model’s results was carried out. Results The sensitivity, specificity and accuracy of the OSA diagnostic model were 76.38%(595/779), 83.41%(181/217) and 77.91%(776/996) respectively, the positive predictive value is 94.29%, negative predictive value is 45.49%, positive likelihood ratio is 4.604, negative likelihood ratio is 0.283; and the area under the ROC curve was 0.866. The reliability analysis of OSA diagnostic model showed that there was no significant difference in the bias comparison of AHI; the intra-class correlation coefficient(ICC) between AHI in the OSA diagnostic model and AHI in polysomnography was 0.659, with a relatively strong consistency degree; the intra-class correlation coefficient between the lowest SpO2 in the OSA diagnostic model and the lowest SpO2 in polysomnography was 0.563, with a moderate consistency degree. Conclusions The OSA diagnostic model can better predict the probability of illness and assess the severity of the disease, which is helpful for the early detection, diagnosis and treatment of OSA. The OSA diagnostic model is suitable for popularization and application in primary hospitals and when polysomnography is not available in time.