Objective To investigate the safety of vaginal delivery in gravidas with previous cesarean section and its influencing factors.Methods Four hundred and seventy-four full-term gravidas who received cesarean section at the Department of Obstetrics and Gynecology of Peking University First Hospital from January 1,2012 to August 31,2014 were enrolled in this study.Among those subjects,38 who underwent successful vaginal delivery were grouped into vaginal birth after cesarean (VBAC) group,and the other 436 accepting repeated cesarean section were grouped into cesarean group.Delivery outcomes and maternal/neonatal complications of the two groups were retrospectively analyzed with two-sample t-test and Chi-square test.Results Among the 45 patients (9.5％) who attempted VBAC,seven underwent cesarean section for suspected fetal distress and the other 38 (84.4％) succeeded in vaginal birth without uterine rupture.The amount of postpartum hemorrhage in patients of cesarean group was more than that of VBAC group [(330.8±94.8) vs (257.7± 199.7) ml,t=2.021,P＜0.01] after exclusion of three patients with dangerous placenta previa,and the postpartum hospital stay was shorter than that of cesarean group [(2.5± 1.4) vs (4.5± 1.3) d,t=7.952,P＜0.01].There were three newborns with neonatal asphyxia,twelve with neonatal infections and forty transferred to the Pediatrics Department following cesarean section.Besides,complications of headache and urinary retention occurred in 20 and 32 mothers after cesarean section,respectively.However,no complication occurred in VBAC group.Sixty-three cesarean sections were indicated as thin lower uterine segment and among them,fourteen (22.2％) had muscular rupture.Among the six patients who complained of tenderness in lower uterine segment,three were found having muscular rupture during cesarean section.Conclusion VBAC is an option for gravidas with history of cesarean section only if they meet the criteria for VBAC attempt.VBAC could lower the cesarean section rate without increase the incidence of complications.The rate of trial of labor after cesarean was low,patients education should be strengthened to increase it.

AIM: To elucidate the relationship of inflammation, coagulation and cholesterol gallstone formation. METHODS: Hamsters were divided into four groups: control group (feeding normal diet), lithogenic diet (LD) 2 weeks group, LD 6 weeks group and LD+aspirin 6 weeks group. Gallstone incidence, antithrombin antigen (AT-Ⅲ:Ag), antithrombin activity (AT-Ⅲ:Ac), thrombin (F-Ⅱa:Ac), plasminogen activator inhibitor activity (PAI:Ac), plasmin activity (Plm:Ac), D-dimer:Ag and C-reactive protein (CRP) in gallbladder bile were observed as read-out parameters. RESULTS: The incidence of gallstones in control group, LD 2 weeks group, LD 6 weeks group and LD+aspirin group were 0%, 20%, 73% and 25%, respectively. AT-Ⅲ:Ag, F-Ⅱa:Ac, D-dimer and CRP in LD 2 weeks group and LD 6 weeks group were significantly higher than those in the control group (P

Objective:To investigate the mechanism of programmed death 1(PD-1)/ programmed death ligand 1(PD-L1) signaling pathway and its feasibility as a potential therapeutic target and prognostic predictor by detecting the expressions, of PD-1 and PD-L1 in bone marrow mononuclear cells of children with acute lymphoblastic leukemia (ALL), and to provide new ideas for the diagnosis and treatment of ALL as well.Methods:Bone marrow samples were collected from 59 children with ALL in the First Affiliated Hospital of Zhengzhou University from September 2018 to July 2019.Flow cytometry was applied to detect the expression of PD-1 and PD-L1 in bone marrow mononuclear cells in 59 ALL patients, including 47 newly-diagnosed ALL patients and 12 relapsed ALL patients, respectively, at initial diagnosis, after induction therapy and early intensive treatment.Their relevant clinical data were collected and compared with the bone marrow specimens of 12 children suffering from non-malignant blood diseases as the control group of the same hospital during the same period.Results:There was no significant difference in the expression of PD-1 in the bone marrow mononuclear cells of the primary diagnosis group, recurrence group and control group ( H=2.402, P>0.05). The expression of PD-L1 in the relapsed and refractory group [(7.32±3.60)%] and the newly diagnosed group [(3.18±2.37)%] was higher than that in the control group [(0.84±0.39)%], and the differences were statistically significant ( H= 28.048, P<0.05). In the initial treatment group, the expression of PD-L1 in the bone marrow mononuclear cells was the strongest expression before treatment ( B=1.293), followed by after induction treatment ( B=0.036) and after early intensive treatment ( B=0.000), suggesting that there was a downward trend as the continued treatment.The expression of PD-L1 was the weakest expression in the low-risk group ( B=-3.912) than in the medium-risk group ( B=-3.595) and high-risk group ( B=0.000), revealing that the expression of PD-L1 is related to the risk grades of ALL.The higher the risk rating is, the higher the PD-L1 protein expression is. Conclusions:The high expression of PD-L1 may be involved in the pathogenesis and be used as an adverse predictor of ALL childhood and an evaluation index of chemotherapy efficacy.PD-1 / PD-L1 signaling pathway may be a potential therapeutic target of ALL childhood.

Deep learning can automatically learn representative features from image data for clinical analysis,such as glioma staging/grading,prediction of molecular marker status,differentiation of tumor pseudoprogression from true progression,and survival prediction.Radiomics aims to quantitatively describe tumors based on imaging features extracted from routine medical images,and it can capture small changes in tissues and lesions,such as heterogeneity within tumor volume,tumor shape,and their changes over time during serial imaging.Image analysis technology based on radiomics and deep learning can simplify and automate the diagnosis and treatment of glioma,with high accuracy.The review gives a brief introduction of radiomics methods and deep learning technologies,and then summarizes the application of radiomics methods and deep learning technologies in the diagnosis and treatment of glioma in recent years,expecting to provide a preoperative basis for the treatment scheme selection for glioma patients.

Objective:To explore the effects of interpregnancy interval (IPI) on pregnancy outcomes of subsequent pregnancy.Methods:A multicenter retrospective study was conducted in 21 hospitals in China. Information of age, height, pre-pregnancy weight, IPI, history of diseases, complications of pregnancy, gestational age of delivery, delivery mode, and pregnancy outcomes of the participants were collected by consulting medical records of pregnant women who had two consecutive deliveries in the same hospital during 2011 to 2018. The participants were divided into 4 groups according to IPI:<18 months, 18-23 months, 24-59 months and ≥60 months. According to the WHO′s recommendation, with the IPI of 24-59 months group as a reference, to the effects of IPI on pregnancy outcomes of subsequent pregnancy were analyzed. Stratified analysis was further carried out based on age, history of gestational diabetes mellitus (GDM), macrosomia, and premature delivery, to explore the differences in the effects of IPI on pregnancy outcomes among women with different characteristics.Results:A total of 8 026 women were included in this study. There were 423, 623, 5 512 and 1 468 participants in <18 months group, 18-23 months group, 24-59 months group and ≥60 months group, respectively. (1) The age, pre-pregnancy body mass index (BMI), history of cesarean section, GDM, gestational hypertension and cesarean section delivery rate of <18 months group, 18-23 months group, 24-59 months group and ≥60 months group were gradually increased, and the differences were statistically significant ( P<0.05). (2) After adjusting for potential confounding factors, compared with women in the IPI of 24-59 months group, the risk of premature delivery, premature rupture of membranes, and oligohydramnios were increased by 42% ( OR=1.42, 95% CI: 1.07-1.88, P=0.015), 46% ( OR=1.46, 95% CI: 1.13-1.88, P=0.004), and 64% ( OR=1.64, 95% CI: 1.13-2.38, P=0.009) respectively for women in the IPI≥60 months group. No effects of IPI on other pregnancy outcomes were found in this study ( P>0.05). (3) After stratified by age and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of oligohydramnios for women with advanced age ( OR=2.87, 95% CI: 1.41-5.83, P=0.004); and <18 months could increase the risk of premature rupture of membranes for women under the age of 35 ( OR=1.59, 95% CI: 1.04-2.43, P=0.032). Both the risk of premature rupture of membranes ( OR=1.58, 95% CI: 1.18-2.13, P=0.002) and premature delivery ( OR=1.52, 95% CI: 1.07-2.17, P=0.020) were significantly increased in the IPI≥60 months group. After stratified by history of GDM and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would lead to an increased risk of postpartum hemorrhage for women with a history of GDM ( OR=5.34, 95% CI: 1.45-19.70, P=0.012) and an increased risk of premature rupture of membranes for women without a history of GDM ( OR=1.44, 95% CI: 1.10-1.90, P=0.009). After stratified by history of macrosomia and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months could increase the proportion of cesarean section for women with a history of macrosomia ( OR=4.11, 95% CI: 1.18-14.27, P=0.026) and the risk of premature rupture of membranes for women without a history of macrosomia ( OR=1.46, 95% CI: 1.12-1.89, P=0.005). After stratified by history of premature delivery and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of premature rupture of membranes for women without a history of premature delivery ( OR=1.47, 95% CI: 1.13-1.92, P=0.004). Conclusions:Both IPI≥60 months and <18 months would increase the risk of adverse pregnancy outcomes in the subsequent pregnancy. Healthcare education and consultation should be conducted for women of reproductive age to maintain an appropriate IPI when they plan to pregnant again, to reduce the risk of adverse pregnancy outcomes in the subsequent pregnancy.

Objective:To evaluate the correlation between anti-C1q antibody and disease activity and cellular immune function in patients with systemic lupus erythematosus (SLE).Methods:The clinical data and test indexes of 134 patients with SLE and 90 healthy people who were admitted to Henan Provincial People′s Hospital from June 2017 to February 2018 were collected. The level of anti-C1q antibody was measured by enzyme-linked immunosorbent assay (ELISA), and lymphocyte subsets were measured by flow cytometry. According to the score of Systemic Lupus Erythematosus Disease Activity Index (SLEDAI)-2K, SLE patients were divided into active and inactive groups, and SLE patients were divided into LN group and non-LN group according to the presence or absence of kidney involvement. The levels of anti-C1q antibodies and lymphocyte subsets were compared among the three groups, and correlations between anti-C1q antibodies and disease activity and lymphocytes were analyzed. The predictive value of anti-C1q antibodies and anti double stranded DNA (dsDNA) antibodies for SLE disease activity was evaluated.Results:The anti-C1q antibody level, percentage of T cells and Ts cells in SLE group were higher than those in control group, while the percentage of Th cells, percentage of NK cells, T cell count, Th cell count, B cell count and NK cell count in SLE group were lower than those in control group (all P<0.05); The anti-C1q antibody level in the active group was higher than that in the inactive group, and the counts of T cells, Ts cells, Th cells, B cells and NK cells were lower than those in the inactive group (all P<0.05); The anti-C1q antibody level in LN group was higher than that in non-LN group, and the T cell count, Ts cell count, Th cell count, B cell count, NK cell count were lower than that in non-LN group, with statistically significant difference (all P<0.05). Correlation analysis showed that age, hemoglobin (HB), C3, C4, T cell count, Th cell count, B cell count and NK cell count were negatively correlated with anti-C1q antibody, while SLEDAI-2K, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR) and anti-dsDNA antibody were positively correlated with anti-C1q antibody (all P<0.05). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of anti-C1q antibody alone in predicting SLE disease activity was 0.702, with a sensitivity of 0.547 and a specificity of 0.827. The combination of anti-C1q and anti ds-DNA antibodies resulted in an AUC of 0.761, a sensitivity of 0.756, and a specificity of 0.691. The combined detection value of the two antibodies predicting SLE disease activity was better than the single detection. Conclusions:Anti-C1q antibody is closely related to disease activity and cellular immune dysfunction, and has certain predictive value in SLE disease activity.

BACKGROUND: Gestational diabetes mellitus (GDM) brings health issues for both mothers and offspring, and GDM prevention is as important as GDM management. It was shown that a history of GDM was significantly associated with a higher maternal risk for GDM recurrence. The incidence of GDM recurrence was unclear because of the incidence of second-child was low before 2016 in China. We aim to investigate the prevalence of GDM recurrence and its associated high-risk factors which may be useful for the prediction of GDM recurrence in China. METHODS: A retrospective study was conducted which enrolled participants who underwent regular prenatal examination and delivered twice in the same hospital of 18 research centers. All participants were enrolled from January 2018 to October 2018, where they delivered the second baby during this period. A total of 6204 women were enrolled in this study, and 1002 women with a history of GDM were analyzed further. All participants enrolled in the study had an oral glucose tolerance test (OGTT) result at 24 to 28 weeks and were diagnosed as GDM in the first pregnancy according to the OGTT value (when any one of the following values is met or exceeded to the 75-g OGTT: 0 h [fasting], ≥5.10 mmol/L; 1 h, ≥10.00 mmol/L; and 2 h, ≥8.50 mmol/L). The prevalence of GDM recurrence and development of type 2 diabetes mellitus were calculated, and its related risk factors were analyzed. RESULTS: In 6204 participants, there are 1002 women (1002/6204,16.15%) with a history of GDM and 5202 women (5202/6204, 83.85%) without a history of GDM. There are significant differences in age (32.43 ± 4.03 years vs. 33.00 ± 3.34 years vs. 32.19 ± 3.37 years, P  < 0.001), pregnancy interval (4.06 ± 1.44 years vs. 3.52 ± 1.43 years vs. 3.38 ± 1.35 years, P  = 0.004), prepregnancy body mass index (BMI) (27.40 ± 4.62 kg/m2vs. 23.50 ± 3.52 kg/m2vs. 22.55 ± 3.47 kg/m2, P < 0.001), history of delivered macrosomia (22.7% vs. 11.0% vs. 6.2%, P < 0.001) among the development of diabetes mellitus (DM), recurrence of GDM, and normal women. Moreover, it seems so important in the degree of abnormal glucose metabolism in the first pregnancy to the recurrence of GDM and the development of DM. There are significant differences in OGTT levels of the first pregnancy such as area under the curve of OGTT value (18.31 ± 1.90 mmol/L vs. 16.27 ± 1.93 mmol/L vs. 15.55 ± 1.92 mmol/L, P < 0.001), OGTT fasting value (5.43 ± 0.48 mmol/L vs. 5.16 ± 0.49 mmol/L vs. 5.02 ± 0.47 mmol/L, P < 0.001), OGTT 1-hour value (10.93 ± 1.34 mmol/L vs. 9.69 ± 1.53 mmol/L vs. 9.15 ± 1.58 mmol/L, P < 0.001), OGTT 2-hour value (9.30 ± 1.66 mmol/L vs. 8.01 ± 1.32 mmol/L vs. 7.79 ± 1.38 mmol/L, P < 0.001), incidence of impaired fasting glucose (IFG) (fasting plasma glucose ≥5.6 mmol/L) (31.3% vs. 14.6% vs. 8.8%, P < 0.001), and incidence of two or more abnormal OGTT values (68.8% vs. 39.7% vs. 23.9%, P < 0.001) among the three groups. Using multivariate analysis, the factors, such as age (1.07 [1.02-1.12], P = 0.006), prepregnancy BMI (1.07 [1.02, 1.12], P  = 0.003), and area under the curve of OGTT in the first pregnancy (1.14 [1.02, 1.26], P  = 0.02), have an effect on maternal GDM recurrence; the factors, such as age (1.28 [1.01-1.61], P  = 0.04), pre-pregnancy BMI (1.26 [1.04, 1.53], P = 0.02), and area under the curve of OGTT in the first pregnancy (1.65 [1.04, 2.62], P = 0.03), have an effect on maternal DM developed further. CONCLUSIONS The history of GDM was significantly associated with a higher maternal risk for GDM recurrence during follow-up after the first pregnancy. The associated risk factors for GDM recurrence or development of DM include age, high pre-pregnancy BMI, history of delivered macrosomia, the OGTT level in the first pregnancy, such as the high area under the curve of OGTT, IFG, and two or more abnormal OGTT values. To prevent GDM recurrence, women with a history of GDM should do the preconception counseling before preparing next pregnancy.
Adult ; Blood Glucose/metabolism* ; China/epidemiology* ; Diabetes Mellitus, Type 2/epidemiology* ; Diabetes, Gestational ; Female ; Fetal Macrosomia ; Glucose Intolerance ; Humans ; Male ; Pregnancy ; Retrospective Studies