目的 研究影响新生儿低血糖的相关危险因素。方法 回顾性分析新生儿科570例新生儿的临床资料,其中新生儿低血糖组190例,正常血糖组新生儿380例,采用Logistic回归分析新生儿低血糖相关危险因素。结果 单因素Logistic回归分析显示,新生儿体质量减轻、早产、新生儿呼吸衰竭、新生儿呼吸窘迫、新生儿感染、母亲分娩年龄增大、经产妇、剖宫产、双胎、妊娠期糖尿病、妊娠期高血压疾病是新生儿低血糖发生的危险因素（均P<0.05）;多因素Logistic回归分析显示,早产（OR=2.115,95%CI：1.186~3.772）、剖宫产（OR=6.92,95%CI：4.202~11.397）是新生儿低血糖发生的危险因素（均P<0.05）。结论 早产、剖宫产是新生儿低血糖发生的危险因素,应根据危险因素及时识别和治疗新生儿低血糖,为新生儿提供及时产后护理指导,以降低新生儿低血糖发生率。

Objective To study the relevant risk factors of neonatal hypoglycemia．Methods A retrospective analysis was conducted on the clinical data of 570 newborns in neonatal pediatrics,including 190 cases in the neonatal hypoglycemia group and 380 cases in the normal blood glucose group．Logistic regression analysis was used to analyze the risk factors related to neonatal hypoglycemia．Results Single factor Logistic regression analysis showed that neonatal weight loss,premature,neonatal respiratory failure,neonatal respiratory distress,neonatal infection,the mother’s age of delivery,multipara,cesarean section,twins,pregnancy diabetes,pregnancy hypertension were the risk factors for neonatal hypoglycemia,all of which had statistical significance（all P<0.05）．In multivariate Logistic regression analysis,premature（OR=2.115,95% CI：1.186-3.772）and cesarean section（OR=6.92,95% CI：4.202-11.397）were risk factors for neonatal hypoglycemia（both P<0.05）．Conclusions Premature and cesarean section are risk factors for the occurrence of neonatal hypoglycemia in the local area．Timely identification and treatment of neonatal hypoglycemia based on risk factors,providing timely postpartum nursing guidance for newborns,can reduce the occurrence of neonatal hypoglycemia．

目的 初步探讨D-二聚体对判断女性恶性肿瘤病情和疗效观察的应用价值与诊断效能。方法 选取2016年3月—2017年12月间在佛山第一人民医院乳腺肿瘤内科住院治疗的女性恶性肿瘤患者149例,早期术后患者(术后组)58例,晚期复发转移患者(晚期组)91例,测定其接受化疗前后的血浆D-二聚体水平(分别记作D1、D2),分析D-二聚体浓度变化(ΔD=D2-D1)与疗效的相关性。D-二聚体浓度(ng/mL)用中位数(四分位间距)表示,治疗前后配对样本比较用Wilcoxon秩和检验,两组间独立+样本比较用Mann-Whitney U检验,以Spearman法分析两组资料的相关性是否有统计学意义。结果 术后组患者化疗后D-二聚体水平低于化疗前(ΔD=-184.8,P<0.0001),D1、D2均与年龄正相关(P<0.01),r²分别为0.356,0.389。晚期组患者中,化疗后有33例出现病情进展(progressive disease, PD组),58例获得疾病缓解或稳定(非PD组)。PD组化疗前基线水平高于非PD组(1 586 vs 754.2,P<0.01),接受化疗后PD组D-二聚体较基线水平升高(ΔD=1 124,P<0.0001),非PD组较基线水平下降(ΔD=-153.3,P=0.004 5),PD组化疗后D-二聚体水平高于非PD组(2 511 vs 525.8,P<0.01)。以ΔD、D1、D2诊断是否PD分别进行受试者工作特征曲线(receiver operating characteristic curve,ROC)分析,结果显示ROC曲线下面积分别为0.8 603(95% CI:0.768 5~0.952 0)、0.674 0(95% CI:0.558 2~0.759 7)、0.895 6(95%CI:0.829 1~0.962 1),对诊断PD有一定准确性。当ΔD＜-145.4 ng/mL、D1>1 375 ng/mL、D2>1 033 ng/mL时,Youden指数最大,诊断PD的准确性较高。结论 血浆D-二聚体的变化与肿瘤负荷密切相关,有助于女性恶性肿瘤病情的判断和疗效观察及评价预后,对辅助判断病情进展上的具有较高的诊断效能。

Objective To investigate the clinical significance and diagnostic value of plasma D-dimer measurement in response evaluation of female patients with tumor. Methods 149 female cancer patients were enrolled, in which there were 58 post-operative early staged cases(post-operative group), 91 metastatic cases(metastatic group). D-dimer levels before chemotherapy (D1) and after the last cycle of chemotherapy (D2) were assessed and analyzed to examine whether they are correlated to response of therapy. D-dimer levels were presented as median(25^th percentile,75^th percentile) and compared using Wilcoxon signed-rank test(for paired samples) and Mann-Whitney U test(for independent samples). Spearman rank tests were conducted to show the correlation of two variables. Results In post-operative group,D2 was lower than D1(ΔD=-184.8,P<0.0001),and both of D1 and D2 were positively correlated with age(r²= 0.356,0.389,respectively,P<0.01). In metastatic group, after chemotherapy,33 cases had progressive diseases(PD group), while 58 cases gained response or stable diseases(non-PD group). Baseline D-dimer level of PD group was higher than that of non-PD group(1586 vs 754.2,P<0.01),and after chemotherapy the case was similar(2511 vs 525.8,P<0.01). After chemotherapy, D-dimer level increased in PD group(ΔD=1124,P<0.0001), and decreased in non-PD group(ΔD=-153.3,P=0.0045).We compared the abilities of the ΔD(ΔD=D2-D1), D1and D2 to discriminate between responders and non-responders using receiver operating characteristic curves(ROC). The areas under the curve (AUC) of the ΔD, D1and D2, were 0.8603(95%CI:0.7685-0.9520)、0.6740(95%CI:0.5582-0.7597)、0.8956(95%CI:0.8291-0.9621), respectively. The appropriate cut-off values with biggest Youden index of D-dimer for non-responders were as follows: ΔD＜-145.4 ng/mL,D1>1375ng/mL,D2>1033ng/mL. Conclusion Plasma D-dimer level is strongly associated with tumor burden. D-dimer could be used to predict prognosis and treatment response in female patients with tumor.