[Clinical features and related factors of invasive pulmonary aspergillosis in patients with acute exacerbation of chronic obstructive pulmonary disease].

Objective: To study the clinical features and related factors of invasive pulmonary aspergillosis (IPA) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods: This retrospective study enrolled patients hospitalized for AECOPD in ten tertiary hospitals of China from September 2017 to July 2021. AECOPD patients with IPA were included as case group, AECOPD patients without IPA were randomly selected as control group from the same hospitals and same hospitalization period as the patients with IPA using the random function in the software of Microsoft Excel 2003, at a ratio of 2∶1. The clinical characteristics, treatment and outcome were compared between the two groups. Binary logistic regression model was used to analyze the factors associated with IPA in AECOPD patients. Results: A total of 14 007 inpatients with AECOPD were included in this study, and 300 patients were confirmed to have IPA, with an incidence rate of 2.14%. According to the above matching method, 600 AECOPD patients without aspergillus infection were enrolled as the control group. The age of the case group and the control group were (72.5±9.7) and (73.5±10.3) years old, with 78.0%(n=234) male and 76.8%(n=461) male, respectively. There were no significant differences in age and gender composition between the two groups (all P>0.05). The prognosis of case group was significantly worse than that of the control group, with longer hospital stay [M(Q1,Q3)], [14 (10-20) d vs 11 (8-15) d, P<0.001], higher ICU admission rate [16.3% (49 case) vs 10.0% (60 case), P=0.006], higher in-hospital mortality [4.0% (12 cases) vs 1.3% (8 cases), P=0.011], and higher hospitalization costs (28 000 ¥ vs 13 700 ¥, P<0.001). The smoking index of the case group and proportions of patients with diabetes mellitus, chronic pulmonary heart disease in the case group were significantly higher than those in control group (all P<0.05). In terms of clinical features, the proportions of patients with cough, expectoration, purulent sputum, hemoptysis and fever in the case group were higher than those in the control group, the serum albumin was significantly lower than that in the control group, and the proportions of patients with bronchiectasis and pulmonary bullae on imaging were significantly higher than those in the control group (all P<0.05). Diabetes (OR=1.559, 95%CI: 1.084-2.243), chronic pulmonary heart disease (OR=1.476, 95%CI: 1.075-2.028), bronchiectasis (OR=1.506, 95%CI: 1.092-2.078), pulmonary bullae (OR=1.988, 95%CI: 1.475-2.678) and serum albumin<35 g/L (OR=1.786, 95%CI: 1.325-2.406) were the related factors of IPA in patients with AECOPD. Conclusions: The incidence of IPA in AECOPD patients is relatively high and the prognosis of these patients is worse. Diabetes, chronic pulmonary heart disease, bronchiectasis, pulmonary bulla, hypoproteinemia are the related factors of IPA in patients with AECOPD.

[Analysis of the relationship between syncope and poor prognosis in patients with acute pulmonary embolism and related factors].

Objective: To explore the association between syncope and poor prognosis and related factors of syncope in patients with acute pulmonary embolism (APE). Methods: A total of 740 patients with first diagnosed APE treated in West China Hospital of Sichuan University from September 1, 2016 to December 30, 2019 were enrolled. The basic information and clinical information (including clinical manifestations, complications, auxiliary examination, treatment and prognosis, etc.) of the patients were obtained from inpatient medical records. The patients were divided into the syncope group and the non-syncope group according to whether they had syncope or not. The basic and clinical conditions of the two groups were compared, and the factors related to syncope in APE patients were analyzed by multiple logistic regression model. Results: The proportion of APE patients with syncope was 12.6% (93/740). Age was (59±16) years in the syncope group (93 cases) and (59±17) years in the non-syncope group (647 cases), with 57.0% (53/93) and 60.4% (391/647) males, respectively. The body mass index, in-hospital mortality, proportions with high risk APE and mechanical ventilation of the syncope group were higher than those of the non-syncope group [(24.5±4.0) kg/m2 vs (23.3±3.8) kg/m2, 16.1% vs 7.7%, 4.4% vs 1.3% and 9.7% vs 2.5%, respectively]. The length of hospital stay [M (Q1, Q3)] of the syncope group was longer than that of the non-syncope group [15 (10, 22) d vs 14 (9, 22) d], and the proportions with chest pain and hemoptysis were lower than those of the non-syncope group (19.4% vs 36.8% and 14.0% vs 27.2%, respectively) (all P values<0.05). Multivariate logistic regression analysis showed that enlargement of the right heart [OR (95%CI): 2.46 (1.07, 5.64)] was a factor associated with syncope in APE patients. Conclusion: The proportion of APE patients with syncope is relatively high and is associated with poor prognosis, while enlargement of the right heart is associated with syncope in APE patients.

[Risk factors associated with in-hospital mortality in hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease: a multicenter retrospective study].

Objective: To investigate the risk factors associated with in-hospital mortality in hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods: A total of 6 668 patients hospitalized for AECOPD in seven tertiary hospitals from September 2017 to January 2021 were consecutively included, and clinical data related to medical history, laboratory tests, treatment and prognosis were collected, and patients were divided into death group and survival group according to whether they died during hospitalization. After univariate analysis, multivariate logistic regression analysis was then performed to explore the independent risk factors related to in-hospital mortality. Results: Among 6 668 patients hospitalized for AECOPD, 128 patients experienced in-hospital death, with a mortality rate of 1.9%. The mean age of the death group was (81±9) years, which was significantly older than that of the survival group ((72±11) years P<0.001). The proportion of patients in the AECOPD in-hospital death group with a combination of prolonged bed rest, hypertension, myocardial infarction within 3 months, cardiac insufficiency, chronic pulmonary heart disease, pneumonia, type 2 diabetes, venous thromboembolism (VTE), and chronic renal insufficiency was also significantly higher than in the survival group (all P<0.05) The median length of stay in the in-hospital death group was 18 d, which was significantly longer than that in the survival group (9 d, P<0.001), and the proportion of patients admitted to the ICU, receiving invasive mechanical ventilation and non-invasive mechanical ventilation was also significantly higher than that in the survival group (all P<0.05). The white blood cell count, glutamic transaminase, blood creatinine, calcitoninogen, C-reactive protein, D-dimer, N-terminal B-type natriuretic and Pseudomonas aeruginosa infection rates were significantly higher than those in the survival group (all P<0.05). Multifactorial analysis showed that age>80 years (OR=3.82, 95%CI 2.36 to 6.18, P<0.001), prolonged bed rest (OR=2.95, 95%CI: 1.79 to 4.86, P<0.001), chronic pulmonary heart disease (OR=1.85, 95%CI: 1.14 to 3.00, P=0.012), and pneumonia (OR=2.75, 95%CI: 1.65 to 4.60, P<0.001), invasive mechanical ventilation (OR=7.33, 95%CI: 4.40 to 12.21, P<0.001), noninvasive mechanical ventilation (OR=3.73, 95%CI: 2.30 to 6.04, P<0.001), anemia (OR=2.03. 95%CI: 1.21 to 3.42, P=0.008), and calcitoninogen>0.5 ng/ml (OR=2.38, 95%CI: 1.41 to 4.02, P=0.001) were independent risk factors for in-hospital mortality in patients with AECOPD. Conclusion: Advanced age (>80 years), prolonged bed rest, chronic pulmonary heart disease, pneumonia, invasive mechanical ventilation, noninvasive mechanical ventilation, anemia, and calcitoninogen>0.5 ng/ml were independent risk factors for in-hospital mortality in patients hospitalized with AECOPD.

[Application of artificial intelligence-assisted diagnosis for cervical liquid-based thin-layer cytology].

Objective: To explore the application value of artificial intelligence-assisted diagnosis system for TBS report in cervical cancer screening. Methods: A total of 16 317 clinical samples and related data of cervical liquid-based thin-layer cell smears, which were obtained from July 2020 to September 2020, were collected from Southern Hospital, Guangzhou Huayin Medical Inspection Center, Shenzhen Bao'an People's Hospital(Group) and Changsha Yuan'an Biotechnology Co., Ltd. The TBS report artificial intelligence-assisted diagnosis system of cervical liquid-based thin-layer cytology jointly developed by Southern Medical University and Guangzhou F. Q. PATHOTECH Co., Ltd. based on deep learning convolution neural network was used to diagnose all clinical samples. The sensitivity,specificity and accuracy of both artificial intelligence-assisted diagnosis system and cytologists using artificial intelligence-assisted diagnosis system were analyzed based on the evaluation standard(2014 TBS). The time spent by the two methods was also compared. Results: The sensitivity of artificial intelligence-assisted diagnosis system in predicting cervical intraepithelial lesions and other lesions (including endometrial cells detected in women over 45 years old and infectious lesions) under different production methods, different cytoplasmic staining and different scanning instruments was 92.90% and 83.55% respectively, and the specificity of negative samples was 87.02%, while that of cytologists using artificial intelligence-assisted diagnosis system was 99.34%, 97.79% and 99.10%, respectively. Moreover, cytologists using artificial intelligence-assisted diagnosis system could save about 6 times of reading time than manual. Conclusions: Artificial intelligence-assisted diagnosis system for TBS report of cervical liquid-based thin-layer cytology has the advantages of high sensitivity, high specificity and strong generalization. Cytologists can significantly improve the accuracy and work efficiency of reading smears by using artificial intelligence-assisted diagnosis system.