营养风险与腹膜后肿瘤患者住院时间的相关性研究

目的 探讨营养风险与腹膜后肿瘤患者住院时间的相关性。方法 采用回顾性研究，选取2012年1月至2018年12月四川大学华西医院血管外科新入院腹膜后肿瘤患者60例，采用营养风险筛查表评估患者营养风险，收集患者体质指数、围术期血红蛋白和白蛋白水平、住院天数、术后恶心呕吐发生情况、术后排气、排便时间和首次进食时间。采用单因素分析比较不同患者住院时间，采用多重线性逐步回归分析患者住院时间的影响因素。结果 纳入的60例腹膜后肿瘤患者中，40例患者（66.7%）术前存在营养风险，52例患者（86.7%）术后存在营养风险；单因素分析显示，患者术前、术后营养风险 （术前P<0.001，术后P=0.043）、术前白蛋白 （P=0.019）、术后血红蛋白 （P=0.019）、术后白蛋白（P=0.025） 水平以及术后恶心呕吐 （P=0.001） 均会影响患者的住院时间；患者住院时间与围术期营养风险筛查工具评分、术后首次进食时间、术后排气时间和排便时间具有相关性，且相关性强（r=0.759~0.770； P<0.01）；多因素分析显示术前营养风险是腹膜后肿瘤患者住院时间的重要预测因素（β=0.399）。结论 术前营养风险是腹膜后肿瘤患者住院时间的预测因子。     

The influence of processed total non-forward and non-motile sperm count on the outcome of artificial insemination with the husband’s semen

BackgroundArtificial insemination with the husband’s semen (AIH) is an economical and noninvasive method of infertility treatment. However, AIH’s pregnancy rate is much lower than in vitro fertilization (IVF) as its multiple and complex uncertainty factors. Semen quality has been one of the main factors which affect the pregnancy outcome of AIH.MethodsThe relevant parameters of 1,142 AIH cycles were retrospectively studied, including the general parameters and the semen quality parameters among clinical pregnancy, biochemical pregnancy, non-pregnancy group, age, infertility duration, infertility type, body mass index (BMI), cycle count, morphology in previously semen examination, and semen quality parameters on the day of AIH.ResultsThe statistically significant difference was only found on processed total non-forward and non-motile sperm count (N-TFMSC). The mean processed N-TFMSC in the biochemical pregnancy group was 6.37±4.27 million, significantly higher than the other two groups (vs. 4.40±3.15 million or vs. 4.48±3.60 million, P<0.05). The study was then divided into two groups according to processed N-TFMSC, Group 1 ≤5.0 million, and Group 2 >5.0 million. A statistical increase in biochemical pregnancy rate was observed when the processed N-TFMSC was >5.0 million (2.72% vs. 0.90%).ConclusionsProcessed N-TFMSC may be one of the independent factors on AIH’s outcome; it should be given equal attention the same as processed total forward motile sperm count (TFMSC).     

骨折早期调节RANKL表达对骨折愈合影响的实验研究

目的通过对大鼠股骨骨折早期局部应用重组人骨保护素Fc融合蛋白(OPG-Fc),研究调节骨保护素(OPG)和核因子-κB受体活化因子配体(RANKL)的表达变化对骨折早期的影响,探讨其表达调节方式及作用机制。方法 48只雌性SD大鼠随机分成实验组和对照组,每组24只。建立大鼠股骨骨折模型,于术后第7天、第14天、第21天、第28天4个时间节段分批处死模型,标本切片后通过HE染色观察骨折愈合情况,免疫组织化学染色研究破骨细胞数量变化。结果 HE染色示单纯骨折组呈典型骨折愈合过程,而骨折局部注射OPG组骨痂形成及改造提前,骨折愈合加速。免疫组织化学染色显示在第7天、第14天、第21天、第28天各个时间节段单纯骨折组破骨细胞计数值均高于骨折应用OPG组,差异有统计学意义(P0.05)。结论骨折早期调节RANKL表达,当RANKL/OPG比值减小时,骨折局部破骨细胞减少,骨痂形成增多,骨折愈合加速。     

Initiatives to reduce postoperative surgical site infections of the head and neck cancer surgery with a special emphasis on developing countries

Introduction: Surgery in patients with head and neck cancers is frequently complicated by multiple stages of procedure that includes significant surgical removal of all or part of an organ with cancer, tissue reconstruction, and extensive neck dissection. Postoperative wound infections, termed ‘surgical site infections’ (SSIs) are a significant impediment to head-and-neck cancer surgery and recovery, and need to be addressed.

Areas covered: Approximately 10–45% of patients undergoing head-and-neck cancers surgery develop SSIs. SSIs can lead to delayed wound healing, increased morbidity and mortality as well as costs. Consequently, SSIs need to be avoided where possible, as even the surgery itself impacts on patients’ subsequent activities and their quality of life, which is exacerbated by SSIs. Several risk factors for SSIs need to be considered to reduce future rates, and care is also needed in the selection and duration of antibiotic prophylaxis.

Expert commentary: Head and neck surgeons should give personalized care especially to patients at high risk of SSIs. Such patients include those who have had chemoradiotherapy and need reconstructive surgery, and patients from lower and middle-income countries and from poorer communities in high income countries, who often have high levels of co-morbidity because of resource constraints.     

Using gas chromatography and mass spectrometry to determine 25-hydroxyvitamin D levels for clinical assessment of vitamin D deficiency

Vitamin D is responsible for multiple metabolic functions in humans. Rickets are the most common disease caused by vitamin D deficiency. It is caused by poor calcium intake resulting in poor serum-ionized calcium. The purpose of this study is to develop a rapid, sensitive, and feasible method to determine the 25-hydroxy-vitamin D3 (25(OH)D3) levels in blood samples for clinical assessment. In this study, gas chromatography coupled mass spectrometry with trimethylsilyl derivatization (TMS-GC-MS) is the most suitable protocol for quantitative analyses of 25(OH)D3. Performance of method was evaluated and compared with liquid chromatography and immunoassay. Method validation has been carried out with plasma specimens. The limit of quantitation of TMS-GC-MS method is 1.5 ppb with good linear correlation. Furthermore, the dietary intake and nutritional status of vegetarian and non-vegetarians in Taiwan were assessed by our validated method. As a result, this vitamin D nutrition survey demonstrates that most Taiwanese people have insufficient vitamin D. Due to dietary habits; the male vegans may have the highest risk of vitamin D deficiency.     

Genome-wide haplotypic testing in a Finnish cohort identifies a novel association with low-density lipoprotein cholesterol

We performed genome-wide tests for association between haplotype clusters and each of 9 metabolic traits in a cohort of 5402 Northern Finnish individuals genotyped for 330 000 single-nucleotide polymorphisms. The metabolic traits were body mass index, C-reactive protein, diastolic blood pressure, glucose, high-density lipoprotein (HDL), insulin, low-density lipoprotein (LDL), systolic blood pressure, and triglycerides. Haplotype clusters were determined using Beagle. There were LDL-associated clusters in the chromosome 4q13.3-q21.1 region containing the albumin (ALB) and platelet factor 4 (PF4) genes. This region has not been associated with LDL in previous genome-wide association studies. The most significant haplotype cluster in this region was associated with 0.488 mmol/l higher LDL (95% CI: 0.361–0.615 mmol/l, P-value: 6.4 × 10⁻¹⁴). We also observed three previously reported associations: Chromosome 16q13 with HDL, chromosome 1p32.3-p32.2 with LDL and chromosome 19q13.31-q13.32 with LDL. The chromosome 1 and chromosome 4 LDL associations do not reach genome-wide significance in single-marker analyses of these data, illustrating the power of haplotypic association testing.