ObjectiveTo perform a meta-analysis on the positive rate of hepatitis C virus (HCV) antibody among pregnant females in China from 2008 to 2018, so as to provide scientific references for the prevention and treatment of HCV infection among pregnant females.MethodsDatabases including PubMed, Web of Science, SinoMed, CNKI, VIP, and WanFang Data were electronically searched to collect observational studies on the positive rate of HCV antibody among pregnant females in China from January, 2008 to December, 2018. Two reviewers independently screened literature, extracted data and evaluated risk of bias of included studies. Meta-analysis was then performed using Stata 15.0 software.ResultsA total of 108 studies involving 657 765 individuals were included. Results of meta-analysis showed that the overall positive rate of HCV antibody among pregnant females in Chinese was 0.235% (95%CI 0.189% to 0.286%). Subgroup analysis showed that the positive rate of HCV antibody among pregnant females in western China to be the highest 0.291% (95%CI 0.221% to 0.378%), the northeast China to be 0.240% (95%CI 0.099% to 0.442%), the central China to be 0.235% (95%CI 0.016% to 0.319%), and the east China to be the lowest 0.193 % (95%CI 0.119% to 0.281%). The HCV antibody positive rate of pregnant females from hospital was 0.291% (95%CI 0.221% to 0.372%) and was higher than that from AIDS surveillance site which was 0.164% (95%CI 0.122% to 0.207%).ConclusionsThe prevalence of HCV antibody among pregnant females maintains at a low level in China.
ObjectiveTo investigate the diagnostic value of lateral chromatography for cryptococcal capsular polysaccharide antigen in cryptococcal infection.MethodsThe data of patients who detected cryptococcal capsular polysaccharide antigen in West China Hospital of Sichuan University in 2018 were collected. The sensitivity, specificity, positive predictive value and negative predictive value of cryptococcal capsular polysaccharide antigen detected by lateral chromatography were analyzed. The samples with positive lateral chromatography and definite clinical diagnosis were compared with the results of ink staining and fungal culture.ResultsA total of 721 cases were detected. The sensitivity, specificity, positive predictive value and negative predictive value of lateral chromatography detection were 100.00%, 99.39%, 93.93%, 100.00%, respectively. The positive rates of ink staining, fungal culture and cryptococcal capsular polysaccharide antigen for cryptococcal infection were 63.46%, 48.00% and 100.00%, respectively. Sixty-two patients were clinically diagnosed, including 45 cases of cryptococcal meningitis (72.58%), 16 cases of cryptococcal pneumonia (25.81%), and 1 case of bone cryptococcal infection (1.61%).ConclusionsLateral chromatography detection for cryptococcal capsular polysaccharide antigen shows well performing sensitivity and specificity in the diagnosis of cryptococcal infection. Considering its rapid and simple pre-operation, cryptococcal capsular polysaccharide antigen detection with lateral chromatography has good application value for early diagosis of cryptococcal infection.
Objective To explore the positive rate of scanning laser ophthalmoscope in the retromode (RM-SLO) in different types of diabetic macular edema (DME), and to analyze its correlation with foveal thickness (CMT) and macular volume. MethodsFrom March to May 2021, 40 patients (65 eyes) were diagnosed as DME by fundus examination combined with optical coherence tomography (OCT) in Affiliated Eye Hospital of Wenzhou Medical University at Hangzhou were included in the study. All eyes underwent best corrected visual acuity (BCVA), OCT and RM-SLO fundus imaging examinations, 47 eyes underwent fluorescein fundus angiography (FFA) examination. RM-SLO fundus imaging examinations were performed with Mirante SLO, including retro mode illumination deviated right (RMDR) and retro mode illumination deviated left (RMDL). If one or more of the RMDR and RMDL of the examined patient can identify macular edema, RM-SLO was considered to be able to identify macular edema. The macular volume at CMT and 6 mm from the fovea was measured by OCT software. DME were divided into 3 types based on OCT images: diffuse retinal thinkening (DRT) type; cystoid macular edema(CME) type; serous retinal detachment (SRD) type, focal leakage type, diffuse leakage type and diffuse cystic leakage type. The consistency of RMDR and RMDL in the diagnosis of DME in RM-SLO fundus imaging was evaluated, as well as their positive rate in different classifications of DME. The correlation between the detection of macular edema by RM-SLO and the DME type, CMT and foveal volume, and the correlation between BCVA and edema type, CMT and macular volume were analyzed. ResultsAmong 65 eyes, the positive rates of RMDR and RMDL fundus imaging to detect DME were 46 (70.77%, 46/65) and 48 (73.85%, 48/65), respectively. There was good consistency in identifying DME (Kappa value=0.770; P＜0.001). The positive rates of RMDR and RMDL fundus imaging DRT, CME and SRD type of DME were 42.11% (8/19), 57.89% (11/19), 77.78% (28/36), 77.78% (28/36), 100.00% (10/10), 90.00% (9/10), respectively. In the FFA classification of them, the positive rates of focal leakage, diffuse leakage and diffuse cystic leakage were 68.75% (11/16), 62.50% (10/16), 68.00% (17/25), 76.00% (19/25), 100.00% (6/6), 100.00% (6/6), respectively. The results of Spearman correlation analysis showed that whether RM-SLO could identify DME was associated with CMT and OCT classification (r=0.310, 0.365; P=0.120, 0.003); there was no correlation between FFA classification and macular volume (r=0.113, 0.117; P=0.449, 0.352). BCVA was correlated with CMT and macular volume (r=0.307, 0.269; P=0.013, 0.030), however, there was no significant correlation with OCT type, angiographic type (r=0.051, 0.175; P=0.684, 0.240). ConclusionThe diagnostic agreement of DME are good between RMDR, RMDL of RM-SLO image. DME of DRT type and patients with smaller CMT in OCT are difficult to identified by RM-SLO fundus imaging.
ObjectiveTo investigate the antibody concentration and immune status of intensive care medical staff after vaccination against COVID-19. Methods From October 1, 2021 to February 28, 2022, the serial numbers of 47 hospitals were randomly selected by cluster stratified random sampling method. Blood samples were collected from 192 medical staff in intensive care department who had received inactivated novel coronavirus vaccine in 7 hospitals. The antibody concentration was determined by chemiluminescence method to find the antibody rule. Logistic regression analysis was used to determine the related factors affecting the production of antibodies. ResultsTotal antibody concentration of 192 blood samples was 23.25 (5.09, 270.22), IgG concentration was 0.94 (0.15, 4.48), IgM concentration was 0.05 (0.03, 0.12). Logistic regression analysis showed that the total antibody concentration might be related to gender and age, and the IgG concentration was significantly related to whether the third injection was administered. One hundred and twenty-seven people received 2 doses of inactivated vaccine, and the positive rate of IgG was the highest within 1 to 2 months, and decreased significantly after 3 months. The positive rate of IgG antibody was 95.4% within 60 days after receiving 3 doses of vaccine, 70% within 1 month after receiving the third dose of vaccine, and 100.0% within 1 to 2 months (P<0.05). The total antibody positive rate was 96.3% in people aged 17 to 35 years and 73.3% in people aged 36 to 58 years, showing statistical difference (P<0.05). The total antibody production rate of those who received the third dose of vaccine was 100.0%, and no severe case of COVID-19 occurred during the sampling period. Conclusions After the first, second, and third doses of COVID-19 vaccine, the total antibody concentration of the virus gradually increases to 100.0%, indicating initial immunity. However, the antibody concentration decreased gradually after 3 months of inoculation. The concentration of IgG in women is higher than that in men, and the concentration of antibody in young people is higher than that in middle-aged and elderly people during the same period.