Abstract: Objective　To investigate the drug demand and related influencing factors of AIDS non-occupational post-exposure prophylaxis (nPEP) among men who have sex with men (MSM) in Wuhan, and to provide a scientific basis for the development of subsequent intervention policies for MSM. Methods　With the assistance of social organizations in Wuhan, MSM was recruited by the snowball method to carry out an online questionnaire survey to collect information on demographics, AIDS-related knowledge, high-risk behaviors, and the need for nPEP medication. The χ2 test and unconditional Logistic regression were used to analyze the related factors of the demand for nPEP medication. Results　A total of 308 valid subjects were included in this study, with predominantly 18-29 years old (78.57%, 242/308). The self-reported sexual orientation was mainly homosexuality (82.47%, 254/308), and the awareness rate of AIDS knowledge was high (89.29%, 275/308). Among the survey respondents, 35.06% (108/308) did not know the situation of HIV infection among MSM population in Wuhan; 55.19% (170/308) had two or more same-sex sexual partners in the last six months; 90.91% (280/308) had heard of nPEP before participating in this survey. After passing nPEP and informing the protective effect of nPEP, 59.42% (183/308) of them needed nPEP. After HIV exposure, 73.38% (226/308) were willing to spend money to buy nPEP drugs, and 88.64% (273/308) were willing to take nPEP drugs because of the known side effects. Logistic regression analysis showed that in the last six months, the needs for taking nPEP medication in those who had 2 or more same-sex sexual partners (OR=2.121, 95%CI: 1.329-3.386) and who had received peer education (OR=1.740, 95%CI: 1.088-2.781) were higher than those of those who had a same-sex sexual partner in the last six months and who had not received peer education. Conclusions　The MSM population in Wuhan has a great demand for nPEP drugs, and peer education is an important way to carry out nPEP publicity and promotion. At the same time, we should continue to strengthen warning publicity and education and behavioral intervention to reduce MSM risky sexual behaviors and reduce new HIV infections.

OBJECTIVEThis study aimed to explore the scene-trait coping style of military rescuers in Wenchuan earthquake in an effort to provide scientific evidences for mental intervention program for Chinese military personnel.

METHODSBy cluster sampling, a total of 151 military rescuers and 331 control servicemen were administered the military personnel scene-trait coping style scale (MPSTCSS).

RESULTSAll active coping factor scores, and passive coping factor scores of affection, health and economy in the rescuer group were significantly higher than those in control group (P < 0.05). The 21-above age subgroup, the 3-year plus service subgroup, and the officer subgroup had significantly higher active coping factor scores on military tasks, military experience and personal development than those of the 21-below age subgroup, 3-year minus service subgroup and the soldier subgroup, respectively (P < 0.05 or P < 0.01).

CONCLUSIONThe earthquake relief servicemen can cope with stressful situations better than control group by taking active coping style. The officers, servicemen older than 21 years, and servicemen with more service duration than 3 years could usually take active coping style.

Adaptation, Psychological ; Disasters ; Earthquakes ; Humans ; Military Personnel ; psychology ; Stress, Psychological

Adult ; Diaphragm ; Humans ; Laparoscopy ; methods ; Male ; Mediastinal Neoplasms ; surgery ; Neurilemmoma ; surgery

Aged ; Arsenicals ; therapeutic use ; Female ; Humans ; Leukemia, Basophilic, Acute ; drug therapy ; Oxides ; therapeutic use

Adult ; Aged ; Aged, 80 and over ; China ; epidemiology ; Female ; Hemorrhagic Fevers, Viral ; epidemiology ; Hospitalization ; Humans ; Male ; Middle Aged

OBJECTIVETo investigate the quantitative and qualitative changes of TCRVα24(+)Vβ11(+) natural killer T (NKT) cells from bone marrow (BM) of aplastic anemia (AA) after in vitro stimulation of α-galactosylceramide (α-Galcer).

METHODSNKT cells in the bone marrow mononuclear cells (BMMNCs) from either AA patients or healthy controls were enumerated with flow cytometry. BMMNCs were cultured in RPMI1640 medium supplemented with either α-Galcer and rhIL-2 or α-Galcer, rhIL-2 and rhG-CSF. The proliferative capacity of NKT cells was determined by NKT cell numbers before and after in vitro culture. Expression of intracellular IFNγ and IL-4 in activated NKT cells was analyzed with flow cytometry.

RESULTSIn AA group, the percentage of NKT cells in BMMNCs was (0.19 ± 0.09)%. Addition of rhG-CSF into the α-Galcer/rhIL-2 culture medium resulted in significantly reduced expansion of NKT cells (67.45 ± 29.42-fold vs 79.91 ± 40.56 fold, P < 0.05). Meanwhile, addition of rhG-CSF reduced IFNγ positive NKT cells \[(37.45 ± 7.89)% vs (62.31 ± 14.67)%, P < 0.01\] and increased IL-4 positive NKT cells \[(55.11 ± 12.13)% vs (27.03 ± 9.88)%, P < 0.01\]. In healthy control group, the percentage of NKT cells in BMMNCs was (0.25 ± 0.12)%. Addition of rhG-CSF into the α-Galcer/rhIL-2 culture medium also significantly reduced expansion of NKT cells (97.91 ± 53.22-fold vs 119.58 ± 60.49-fold, P < 0.05), reduced IFNγ positive NKT cells \[(28.65 ± 10.63)% vs (50.87 ± 12.66)%, P < 0.01\], and increased IL-4 positive NKT cells \[(66.53 ± 14.96)% vs (31.11 ± 10.07)%, P < 0.01\].

CONCLUSIONCompared to those from healthy controls, BMMNCs from AA patiants have a reduced fraction of NKT cells, which possesses a decreased potential to expand in vitro in response to α-Galcer stimulation, and produce more IFNγ(+) NKT1 cells. rhG-CSF, in combination with α-Galcer, confers polarization of NKT cells towards IL-4(+) NKT2 subpopulation.

Anemia, Aplastic ; metabolism ; Bone Marrow ; metabolism ; Humans ; Interleukin-4 ; metabolism ; Killer Cells, Natural ; cytology ; Natural Killer T-Cells

Objective: To evaluate the effects of CYP2C19 genetic polymorphism on the plasma concentration of voriconazole in patients with hematological disease and the value of serial monitoring plasma concentrations in the treatment and prevention of invasive fungal disease (IFD). Methods: From January 2016 to December 2016, 65 hematological patients who received voriconazole intravenous administration for the treatment of invasive fungal disease were enrolled in this study. The population CYP2C19 polymorphism of voriconazole were performed using PCR-Pyrosequencing. The trough plasma concentrations of vriconazole (C_trough) was detected by ultra performance liquid chromatography tandem mass spectrometry. Results: Based on the genotype analysis, 65 subjects were identified as extensive metabolizers' group (30 cases) and poor metabolizers' group (35 cases). The C_trough of the 65 patients were detected for 169 times totally, and there was a significant difference of C_trough values between the two groups [0.98(0.38-2.08) mg/L vs 2.19(1.53-4.27) mg/L, z=10.286, P<0.001]. The medium of C_trough in 65 hematological patients were described. Lack of response to therapy was more frequent in patients with voriconazole levels <1.5 mg/L (50.0%) than in those with voriconazole levels >1.5 mg/L (20.5%) (P=0.052). And the risk of adverse events was more frequent in patients with voriconazole levels >5.5 mg/L (80.0%) than in those with voriconazole levels ≤5.5 mg/L (8.3%) (χ²=11.689, P=0.020). Conclusion: Patients with CYP2C19 wild-type phenotype are extensive metabolizers, their C_trough of voriconazole are significantly lower than patients with CYP2C19 non-wild-type phenotype (poor metabolizers). Appropriate concentrations of vriconazole can improve the efficacy and safety during treatment.
Antifungal Agents ; Cytochrome P-450 CYP2C19/genetics* ; Genotype ; Hematologic Diseases/genetics* ; Humans ; Mycoses ; Phenotype ; Polymorphism, Genetic ; Voriconazole

BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on deep learning (DL) algorithms, validate the effectiveness of the model, and explore the potential value of DL algorithms in assessing FLM. METHODS: A total of 7013 ultrasound images obtained from 1023 normal pregnancies between 20 and 41 + 6 weeks were analyzed in this study. There were no pregnancy-related complications that affected fetal lung development, and all infants were born without neonatal respiratory diseases. The images were divided into three classes based on the gestational week: class I: 20 to 29 + 6 weeks, class II: 30 to 36 + 6 weeks, and class III: 37 to 41 + 6 weeks. There were 3323, 2142, and 1548 images in each class, respectively. First, we performed a pre-processing algorithm to remove irrelevant information from each image. Then, a convolutional neural network was designed to identify different categories of fetal lung ultrasound images. Finally, we used ten-fold cross-validation to validate the performance of our model. This new machine learning algorithm automatically extracted and classified lung ultrasound image information related to GA. This was used to establish a grading model. The performance of the grading model was assessed using accuracy, sensitivity, specificity, and receiver operating characteristic curves. RESULTS: A normal fetal lung GA grading model was established and validated. The sensitivity of each class in the independent test set was 91.7%, 69.8%, and 86.4%, respectively. The specificity of each class in the independent test set was 76.8%, 90.0%, and 83.1%, respectively. The total accuracy was 83.8%. The area under the curve (AUC) of each class was 0.982, 0.907, and 0.960, respectively. The micro-average AUC was 0.957, and the macro-average AUC was 0.949. CONCLUSIONS The normal fetal lung GA grading model could accurately identify ultrasound images of the fetal lung at different GAs, which can be used to identify cases of abnormal lung development due to gestational diseases and evaluate lung maturity after antenatal corticosteroid therapy. The results indicate that DL algorithms can be used as a non-invasive method to predict FLM.
Algorithms ; Deep Learning ; Female ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Lung/diagnostic imaging* ; Neural Networks, Computer ; Pregnancy

Objective To investigate the relationship between serum angiotensin converting enzyme (ACE) and angiotensinogen (AGT) and gestational hypertension syndrome (HDCP) and the risk factors of HDCP. Methods A total of 135 pregnant hypertensive patients (HDCP group) and 100 normal pregnant women as control check (CK) group were selected. Serum ACE and AGT levels were measured by ELISA, and correlation analysis was performed. The age and gestational age of the two groups, pre-pregnancy body mass index (BMI), parity, number of births, family history of hypertension, family history, education, and other general information, single factor analysis of risk factors for maternal HDCP, single factor regression analysis Statistically significant factors were all used for multivariate logistic regression analysis. Results The serum ACE level in the HDCP group (90.49±47.65) μg/L was significantly higher than that in the CK group (58.72±27.58) μg/L, P<0.05, the difference was statistically significant. The serum AGT level in the HDCP group was (64.57±19.71) μg/L was higher than CK group (58.22±18.64) μg/L, P>0.05, the difference was not statistically significant; single factor analysis showed; age, BMI, hypertension, family history of diabetes, ACE level was maternal (P<0.05), while gestational age, parity, number of births, and education were no significant differences in risk factors for HDCP (P>0.05). Multivariate analysis showed: age, BMI, history of hypertension and ACE. It was a risk factor for pregnancy-induced hypertension. Conclusion ACE levels are associated with HDCP. AGT levels are not associated with HDCP. Patients with a high age, high BMI, and hypertension history have an increased risk of gestational hypertension syndrome.