经母腹取胎血及其脆性X检测的临床应用

本文报道在B超监护下经母腹作脐静脉穿刺取胎血33例,其中30例咨询孕妇作产前诊断,3例中孕引产。成功率为93.9％。孕龄与穿刺命中率,胎盘位置与穿刺命中率均不相关(P>0.05及P>0.05)。手术最佳时间是孕24周前后。手术并发症有胎心率变慢(或快),胎盘渗血,脐带渗血,脐血管空气栓塞等。但未发生死胎、流产、胎膜早破及感染。胎血的脆性X(fra(x))表达率较高,但脆性X并不复制。本法有可能成为fra(x)综合征的一种快速,可靠,安全,经济的产前诊断新方法。     

湖北钟祥市先天畸形及遗传性疾病整群抽样调查分析

湖北省钟祥市先天畸形及遗传病整群抽样调查８７９４０人，查出遗传性疾病６６种，总患病率为２２．１４‰，男患病率为２３．６２‰，女患病率为２０．６１‰。性别患病率及疾病谱差别有显著意义。     

大气细菌粒子浓度的时间分布特征及最佳采样时间的研究

用ＭＦ－４５型和ＨＴＫ－２０１型空气微生物采样器分别在北京、天津和沈阳三地观测了不同季节和一天中大气细菌粒子的浓度及其变化。结果表明：京、津二地春季大气细菌粒子浓度高，分别为２０５３个／ｍ３和２５５６个／ｍ３；夏季低，分别为９９５个／ｍ３和１０６４个／ｍ３。沈阳秋季大气细菌粒子浓度高，为１０１０８个／ｍ３；冬季低，为１２９４个／ｍ３。一天中，大气细菌粒子浓度呈双峰型变化，６：００～７：００和１８：００时大气细菌粒子浓度高，１１：００～１３：００和１：００～２：００时大气细菌粒子浓度低。根据大气细菌粒子浓度的季节变化和一天中大气细菌粒子浓度的时间分布特征，经过京、津、沈三地一天中分别１２次、８次、６次和４次不同采样时间组合的大气细菌粒子浓度的数理统计分析，大气细菌粒子浓度的监测拟集中在一年冬、春、夏、秋四季的中间月份，即１月、４月、７月、１０月进行；一天中采样８次的时间序列可为７：００、１０：００、１３：００、１６：００、１９：００、２２：００、１：００、４：００一天采样４次的时间序列可为５：００、１１：００、１７：００、２３：００。白天采样４次的时间序列可为春、秋季６：００、９：００、１２：００、１５：００?     

Partial k-space reconstruction in single-shot diffusion-weighted echo-planar imaging.

Partial k-space sampling is frequently used in single-shot diffusion-weighted echo-planar imaging (DW-EPI) to reduce the TE and thereby improve the SNR. However, it increases the sensitivity of the technique to bulk rotational motion, which introduces a phase gradient across the tissue that shifts the echo in k-space. If the echo is displaced into the high spatial frequencies, conventional homodyne reconstruction fails, causing intensity oscillations across the image. Zero-padding, on the other hand, compromises the image resolution and may cause truncation artifacts. We present an adaptive version of the homodyne algorithm that detects the location of the echo in k-space and adjusts the center and width of the homodyne filters accordingly. The adaptive algorithm produces artifact-free images when the echo is shifted into the high positive k-space range, and reduces to the standard homodyne algorithm in the absence of bulk motion.     

冲击式二级采样对呼吸粉尘与总粉尘浓度比值的影响

为了验证冲击式二级粉尘采样对呼吸性粉尘与总粉尘浓度比值的影响，作者采用瞬时定点采样方法测定作业场所空气中呼吸性粉尘浓度与总粉尘浓度。结果表明，在采样体积相同的条件下，呼吸性粉尘的比值与总粉尘浓度间具有较好的从属共变关系（ｒ＞０．８），呼吸性粉尘的比值随着总粉尘浓度的升高而相应增大     

Sources of unwanted variability in measurement and description of skin surface topography

Background/aims: Quantitative measurement of skin roughness has proved to be a valuable tool in the efficacy-control of external applications, but it suffers from not yielding easily comparable results. The most important sources of inter-observer variability are high-pass filters used to separate roughness and waviness, and low-pass filters which result from the finite resolution of the instrument or from the finite sampling interval of digital measurement. In the present study, the effects of high-pass filters and sampling intervals on the roughness measured were investigated. Methods: Dynamically focusing optical profilometry was used to measure the surfaces of negative replicas of healthy human skin. High-pass cut-off wavelengths and sampling intervals were varied systematically. Results/conclusions: Virtually unbiased estimates for the roughness parameters K, Sk, R_q, and R_a can be obtained using sampling intervals of 40 or even 80 μm. Regarding these roughness parameters, it is far better to do more scans than to shorten the sampling interval. The roughness parameters R_z, R_p, R_t, R_pm, R_max, P_t, on the other hand are very sensitive to the influence of the sampling interval; to achieve satisfying estimates, the sampling interval should be no longer than 2 to 5 urn; as an important parameter’of the measurement, it is worthy of remark and should always be indicated. The way the mean square roughness R_q depends on the cut-off wavelength is not well described by the Sayles-Thomas-relation R_q～λ_c^0.5. If the power-spectrum |h*(v)|² approximates sufficiently to a power law, |h*(v)|²～v^δ, a better estimate is given by R_q～λ_c^γ with γ=-(δ+1)/2. In many cases, γ=1 or R_q～λ_c will suffice.     

大鼠心脏穿刺采血方法的改进

目的:介绍一种大鼠活体重复采血方法。方法:大鼠腹腔麻醉后,仰卧位沿剑突下斜行向上刺入2.5~3.0cm入心,抽血。60只大鼠,每间隔10天采血2.0ml,共4次。测定其Hb、RBC、WBC、Hct、ALT、AST、TP、BUN等指标,同时心脏切片行病理学检查。结果:采用本法进行大鼠心脏取血,成功率97.8%。各次标本的实验室指标均无显著性差异(P>0.05)。20只大鼠第4次采血后剖胸,未见胸腔脏器出血、粘连、血肿等并发症。心脏切片未见心肌组织学损伤。结论:该技术操作简便,定位准确,可重复采血,动物存活率高。尤其用于自身对照,可减少动物用量,提高实验准确性。     

Variability of house-dust-mite allergen levels within carpets

Sensitization and exposure to house-dust-mite allergens is an important cause of asthma. Standardized, reliable, and reproducible methods for measuring exposure are essential for the assessment of the relationship between exposure, sensitization, and asthma. This study investigated the variability of the house-dust-mite allergen Der p 1 concentration in reservoir dust collected within whole carpets in living rooms and bedrooms. The carpets of nine bedrooms and 11 living rooms were sampled. Each room was divided into 1 m² areas measured from wall to wall where the carpet was accessible. Reservoir dust samples were collected by vacuuming each 1 m² area for 2 min. Der p 1 was assayed by a two-site monoclonal-antibody-based immunometric ELISA. Der p 1 was detectable in the carpets of nine bedrooms and six of the 11 living rooms. Within these 15 rooms, there was a wide range of Der p 1 levels. The smallest range of allergen within single room was 0.9 μg Der p 1/g dust (0.2 and 1.1 ng/g; 5.5-fold difference), and the largest was 149.2 μg Der p 1/g dust (0.8 and 150 μg/g; 192-fold difference). The mean range of allergen levels in the living rooms was 11.5 jig Der p 1/g of dust, and the mean coefficient of variation of these rooms was 80.2%. illustrating the huge variation of mite allergen levels within each room. The variation within bedrooms was also large, with a mean coefficient of variation value of 88.7%. The coefficient of variation was significantly lower around soft furnishings or beds (57%) than in the rest the room (89.3%), with the mean difference being 32% (95% CI 27ndash;63%; P=0.04). In conclusion, this study has shown that there is a great variation of Der p 1 levels between areas within a room. No consistent pattern of distribution of mite allergen within a room was found. Der p 1 levels in areas around soft furnishings and beds varied less than the levels in the rest of room.     

Dustborne and airborne fungal propagules represent a different spectrum of fungi with differing relations to home characteristics

BACKGROUND: Exposure to fungi is often assessed by culturing floor dust or air samples. Our objective was to evaluate the relationships between dustborne and airborne fungi and to identify factors that modify these relationships. METHODS: From November 1994 to September 1996 sequential duplicate 45-l air samples were collected in bedrooms of 496 homes in the Boston area, using a Burkard culture plate sampler. After air sampling, bedroom floors were sampled with a vacuum cleaner that was modified to collect dust in a cellulose extraction thimble. Dust was sieved, and the fine dust was dilution-plated onto DG-18 media. RESULTS: Concentrations of total culturable fungi per gram of bedroom-floor dust were correlated weakly, but significantly, with those of indoor air (r = 0.13, P < 0.05). Concentrations of some individual taxa in the dust and indoor air were also weakly associated. Adjusting for the concentrations of fungi in outdoor air, dustborne fungal concentrations were positively associated with those in indoor air for the taxa Cladosporium and Penicillium, but not for total fungi. The indoor air fungal levels were often predicted by different covariates to those predicting fungal levels in dust. The type of housing (house or apartment) and the presence of carpeting were often predictive factors for dust fungi. In contrast, outdoor fungal levels were often predictive of the indoor air fungal levels. CONCLUSIONS: Because our data do not indicate a strong overall relationship between culturable fungi in dust and indoor air, the results from these two methods (dust and air sampling) likely represent different types of potential fungal exposures to residents. It may be essential to collect both air and dust samples, as well as information on housing characteristics, as indicators for fungal exposure.