妊娠早期阴道微环境变化及与阴道炎症的关系分析

目的分析妊娠早期阴道微环境变化及与阴道炎症的关系。方法回顾性分析2017年3月-2018年12月韶关市曲江区妇幼保健计划生育服务中心104例妊娠早期孕产妇临床资料。记录其非妊娠期及妊娠早期阴道微环境变化情况,包括酸碱度(pH)、菌群密集度、菌群多样性、阴道微生物功能正常率、乳杆菌阳性率、阴道微生态正常率,并比较妊娠早期阴道炎症发生情况及其阴道微环境。结果孕产妇非妊娠期pH、阴道微生物功能正常率、乳杆菌阳性率及阴道微生态正常率明显高于妊娠早期,菌群密集度、菌群多样性则低于妊娠早期,差异均有统计学意义(P<0.05)。孕产妇妊娠早期阴道炎症组pH、菌群密集度、菌群多样性明显高于无阴道炎症组,阴道微生物功能正常率及乳杆菌阳性率则低于无阴道炎症组,差异均有统计学意义(P<0.05)。结论妊娠早期阴道微环境出现一系列变化,造成阴道炎症发生率升高,对此临床应给予重视。     

新生儿肺炎PCT和炎性因子水平表达及其意义

目的研究新生儿肺炎(NP)患儿血清高敏C反应蛋白(hs-CRP)、降钙素原(PCT)、白细胞介素-6(IL-6)水平表达及其意义。方法选取2017年1月-2018年2月韶关市曲江区妇幼保健计划生育服务中心诊治的NP患儿80例,按细菌感染情况分为观察1组和观察2组,各40例。选择同期40例健康新生儿作为对照组。测定并比较三组的hs-CRP、PCT和IL-6水平。结果观察1组血清PCT、hs-CRP和IL-6水平明显高于观察2组和对照组,差异均有统计学意义(P<0.05)。观察1组血清PCT、hs-CRP和1L-6检测阳性率明显高于观察2组和对照组,差异均有统计学意义(P<0.05),且观察1组血清PCT、hs-CRP和1L-6诊断NP的敏感度均明显高于观察2组,差异均有统计学意义(P<0.05);观察组各指标特异度与观察2组比较差异无统计学意义(P>0.05)。结论血清hs-CRP、PCT、IL-6水平可作为NP患儿的辅助鉴别指标,为抗生素的合理使用和疗效提供依据。     

Polymerase Chain Reaction and Goldmann-Witmer Coefficient Testing in the Diagnosis of Infectious Uveitis in HIV-Positive and HIV-Negative Patients in South Africa

Purpose: To use polymerase chain reaction (PCR) and Goldmann-Witmer coefficient (GWC) calculation to diagnose infectious uveitis.

Methods: Prospective cross-sectional study.

Results: Twenty-seven of 106 patients had positive PCR and/or GWC results on aqueous humor (AH) sampling and 15 of 27 (55.6%) were HIV-positive. Patients with non-anterior uveitis (NAU) were more likely to be HIV+ (p = 0.005). More than 1 possible pathogen was identified in 9 of 27 patients of whom 7 were HIV+. The final clinical diagnosis was discordant with AH findings in 9 of 27 cases. A positive EBV PCR result was associated with a discordant diagnosis (p = 0.001). All cases of herpetic anterior uveitis (42.9% HIV+) tested PCR-/GWC+ while all cases of herpetic NAU tested PCR+/GWC- (83.3% HIV+). All rubella virus cases were PCR+/GWC+.

Conclusion: PCR is useful to diagnose herpetic NAU in HIV+ patients while GWC is useful to diagnose herpetic anterior uveitis.     

Uncertainty evaluation at three spatial scales for the NDVI-based VWC estimation method used in the SMAP algorithm

Vegetation water content (VWC) is the key input parameter for a soil moisture retrieval algorithm based on microwave remote sensing, and VWC uncertainty can limit the estimated accuracy of soil moisture. There has been little research on VWC algorithm development and validation in China, and the uncertainty of the VWC estimation method has not been well evaluated. Therefore, the aim of this study is to evaluate the uncertainty of the VWC estimation method used in the SMAP (Soil Moisture Active Passive) algorithm on three spatial scales (the point-scale, 30 m scale, and 1 km scale) for maize in northeast China. Results from three ground experimental datasets showed that the SMAP VWC estimation method was strongly biased with an average overestimation of 1.16 kg m^?2,1.04 kg m^?2, and 1.13 kg m^?2 for the point-scale, 30 m scale, and 1 km scale respectively, and maximum bias occurred in the mid-stage of maize. Also, a new power relationship between NDVI (Normalized Difference Vegetation Index) and VWC was proposed for the 30 m scale based on Sentinel 2 NDVI and field VWC values from 2017 experiment, with respective R² (coefficient of determination) and Root Mean Squared Error (RMSE) values of 0.80 and 0.67 kg m^?2. The results confirmed that this power relationship was still suitable for VWC estimation at the 1 km scale, and it has smaller bias than the original SMAP VWC method. Future work will be carried out to evaluate the applicability of this VWC estimation method over a lager region. It is expected that it can improve the accuracy of soil moisture by providing high precision VWC input parameters.