Analysis on the incidence of new occupational diseases in Weihai City from 2009 to 2020 / 中华劳动卫生职业病杂志

Objective: To analyze the pattern and characteristics of occupational diseases in Weihai City from 2009 to 2020, and to provide scientific basis for the formulation of occupational disease prevention. Methods: In February 2021, retrospective analysis was performed on the cases of occupational diseases diagnosed from 2009 to 2020 in Weihai City. The relevant information and data were collected to analyze the types of occupational diseases, onset age, working age, diagnosis time, industry distribution, economic type and enterprise size distribution. Results: From 2009 to 2020, a total of 453 cases of new occupational diseases were reported in Weihai City. There were 431 males (95.14%) and 22 females (4.86%) . The average onset age was (49.16±8.51) years, and the average working age was (17.89±9.30) years. The incidence of pneumoconiosis and other respiratory diseases (322 cases, 71.08%) , occupational otolaryngology and oral diseases (71 cases, 15.67%) and occupational chemical poisoning (36 cases, 7.95%) were the top 3 cases, of which 313 cases were pneumoconiosis and 69 cases were noise deafness. The cases were mainly concentrated in the 40-59 years age group (357 cases, 78.81%) and the 10-19 years working age group (175 cases, 38.63%) . There were significant differences in the incidence of occupational diseases in different ages and different working ages (χ(2)=97.64, 80.74, P<0.001) . The new cases were mainly in mining industry (134 cases, 29.58%) , shipbuilding or maintenance industry (97 cases, 21.41%) , and private enterprises (350 cases, 77.26%) . Conclusion: Pneumoconiosis and noise deafness are the main emerging occupational diseases in Weihai City. Occupational disease prevention and control in private enterprises such as mining and shipbuilding or maintenance industry should be strengthened.

Establishment of a Predictive Diagnostic Model for Acute Mycoplasma Pneumoniae Infection in Elderly Patients with Community-acquired Pneumonia / 生物医学与环境科学（英文）

We established a diagnostic model to predict acute Mycoplasma pneumoniae (M. pneumonia) infection in elderly Community-acquired pneumonia (CAP) patients. We divided 456 patients into acute and non-acute M. pneumoniae infection groups. Binary logistic regression and receiver operating characteristic (ROC) curves were used to establish a predictive model. The following independent factors were identified: age ⋝ 70 years; serum cTNT level ⋝ 0.05 ng/mL; lobar consolidation; mediastinal lymphadenopathy; and antibody titer in the acute phase ⋝ 1:40. The area under the ROC curve of the model was 0.923 and a score of ⋝ 7 score predicted acute M. pneumoniae infection in elderly patients with CAP. The predictive model developed in this study has high diagnostic accuracy for the identification of elderly acute M. pneumoniae infection.