Objective To investigate an automated pretreatment technology for detecting levels of free silica in workplace dust. Methods An fully automated pretreatment workstation for detecting free silica levels in workplace dust was developed by integrating graphite-controlled digestion temperature, online-controlled dilution of digestion solutions, and filtration endpoint recognition based on monitoring technology, combined with multi-channel synchronous measurements. Results The fully automatic pretreatment workstation was used to digest and filter 14 standard samples of free silica produced by three institutions, and then detected by pyrophosphate method. The result range of high-, medium-, and low-level free silica standard samples detection was 66.5%-84.8%, 40.0%-44.5%, and 2.1%-24.8%, respectively. The mean relative standard deviations were 3.9%, 1.4% and 1.5%. Conclusion The fully automated pretreatment workstation produced results that met relevant requirements. It can effectively replace the manual digestion and filtration steps of the pyrophosphate method to measure free silica levels in workplace dust and enable rapid detection of free silica in dust samples.

Objective To evaluate the combination of transvaginal conventional ultrasonography and shear wave elastography ( SWE) on the diagnosis of endometrial cancer ,and establish a predictive Logistic regression model . Methods Clinical information collection ,transvaginal conventional ultrasonography ,and SWE check were performed in 112 patients w ho were post‐menopausal vaginal bleeding with ≥5 mm thick endometrium . T he Emax and Emean of Young′s modulus for the endometrium were obtained . Pathology was used as the gold standard ,ROC curve was plotted ,which could be used to evaluate the Young′s modulus on the diagnostic effectiveness on endometrial cancer . Single factor analysis and bring logistic regression methods were applied to assess the values of the clinical variables ,transuaginal conventional ultrasonography variables ,and Young′s modulus in the identification of endometrial cancer . Results In 112 cases of endometrial lesions diagnosed by pathology ,there were 84 cases of benign lesions ( benign group) and 28 cases of cancer( malignant group) . Both Emax and Emean in malignant group were larger than benign group [ (53 .00 ± 16 .07) kPa vs ( 31 .99 ± 13 .89) kPa ,( 27 .25 ± 9 .28) kPa vs ( 19 .94 ± 10 .37) kPa ,all P ＜0 .001] . In the logistical regression analysis ,body mass index ,endometrial thickness ,blood flow grading and Young′s modulus were identified as independent risk factors for endometrial cancer . T he accuracy ,sensitivity and specificity of the logistic regression model in the prediction of endometrial cancer were 89 .29% ,82 .14% , and 91 .67% , respectively . T he area under the ROC curve was 0 .928 . Conclusions T ransvaginal conventional ultrasonography combined SWE technique has an important value in the diagnosis of endometrial cancer .

Objective To investigate the relative factors of depression in elderly inpatients with multiple chronic diseases. Methods A total of 438 elderly inpatients with multiple chronic diseases were investigated and analyzed by the comprehensive geriatric assessment. Results Among 438 elderly inpatients with chronic diseases, 154 cases(35.15%)were accompanied by depression.The rates of female,non-marital status(single/widowed/divorced),lower income,frequent fall and insomnia were significantly higher in depression group than in non-depression group(P=0.02,0.00,0.00,0.00,0.00,respectively).The scores of cognitive function,nutritional status and activities of daily living were significantly lower in depression group than in non-depression group(P=0.03, 0.00,0.00,respectively),and the pain score was significantly higher in depression group than in non-depression group(P=0.00).The prevalence of diabetes and chronic obstructive pulmonary disease was significantly higher in depression group(P= 0.03,0.04;respectively).Multiple Logistic regression analysis revealed that non-marital status,low income,insomnia,cognitive impairment,malnutrition and diabetes could significantly increase the risk of depression in elderly patients with chronic diseases(OR=2.291,2.065,2.384,2.965,2.561,1.949,respectively,all P<0.05). Conclusions Female,non-marital status,falls,insomnia,cognitive dysfunction,malnutrition,decreased viability of daily life,diabetes,chronic pain and chronic obstructive pulmonary disease are positively associated with the late-life depression.Among them,non-marital status,low income,insomnia,cognitive dysfunction,malnutrition and diabetes could markedly increase the risk of depression in elderly patients with chronic diseases.